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import os from pathlib import Path import pyfakefs import pytest from envutil.envutil import envutil @pytest.fixture() def setup_envvar_WOOF(): # setup os.environ["WOOF"] = "this is how I bark" yield os.environ["WOOF"] # teardown del os.environ["WOOF"] def test_create_file_with_existing_envvar(fs, setup_envvar_WOOF): envvar = "WOOF" filepath = "some/place/file" envutil.env_to_file(envvar, filepath) assert Path(filepath).read_text() == "this is how I bark" def test_create_file_with_nonexisting_envvar(fs): envvar = "WOOF" filepath = "some/place/file" envutil.env_to_file(envvar, filepath) assert Path(filepath).read_text() == "INVALID ENVVAR: WOOF" def test_create_file_at_root(fs, setup_envvar_WOOF): envvar = "WOOF" filepath = "/this/is/root" envutil.env_to_file(envvar, filepath) assert Path(filepath).read_text() == "this is how I bark" def test_create_file_with_existing_parent_dirs(fs, setup_envvar_WOOF): envvar = "WOOF" filepath = "/this/dir/exists" # create up to `/this/dir` fs.create_dir(os.path.dirname(filepath)) assert Path(filepath).parent.exists() envutil.env_to_file(envvar, filepath) assert Path(filepath).read_text() == "this is how I bark" def test_create_file_with_existing_dest_filepath(fs, setup_envvar_WOOF): envvar = "WOOF" filepath = "/this/file/exists" # create everything include file fs.create_file(filepath, contents="it exists") assert Path(filepath).read_text() == "it exists" envutil.env_to_file(envvar, filepath) assert Path(filepath).read_text() == "this is how I bark"
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me@bdang.it
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# -*- coding: utf-8 -*- import numpy as np import pandas as pd from time import time from indexador.textParser import TextParser from util.logger import logger class Indexador(): log_path = '.\\logs\\indexador.log' def __init__(self): pass @classmethod @logger(log_path) def calc_idf(cls, df, len_docs): return np.log2(len_docs/(df != 0).sum(1)) @staticmethod @logger(log_path) def calc_tf_idf(df, s): return df.mul(s, axis=0) @staticmethod @logger(log_path) def calc_doc_length(df): d = np.power(df, 2) d = np.sqrt(d.sum(axis=1)) return d #@staticmethod @logger(log_path) def create_term_matrix(self, lista_invertida): df = pd.DataFrame() x = [] for key, value in lista_invertida.items(): df2 = pd.DataFrame() result_fd = TextParser.freq_dist(value) data = list(result_fd.values()) idx = result_fd.keys() #df2[key] = pd.Series(data, index=idx) x.append(pd.Series(data, index=idx )) #df2[key] = pd.DataFrame(data, index=idx) #df = pd.concat([df, df2], axis = 1) print(x) df = pd.concat(x, axis = 1) df.fillna(0, inplace=True) return df # freq dist most_common #for key, values in lista_invertida.items(): # for value in values() # word_count = len(parsed_sentence) # tokens_dict = TextParser.freq_dist(parsed_sentence) # # df2 = pd.DataFrame() # # Calcula o tf # df2[doc] = pd.Series(list(tokens_dict.values()), index=tokens_dict.keys())/word_count # df = pd.concat([df, df2], axis=1) # df.fillna(0, inplace=True) # # self.term_matrix = df
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import numpy as np import matplotlib.pyplot as plt import pandas as pd import time import os from scipy.integrate import trapz, cumtrapz from .... import control from ....control.instruments.berkeleynucleonics765 import stop from ....control import plotting from ..switching import two_pulse_run_function from ....universal import time_suffix_to_scientic_str, get_number_and_suffix class Relaxation(control.experiment): def __init__(self, pg, scope, run_function = two_pulse_run_function): super().__init__() self.pg = pg self.scope = scope self.run_function = run_function def _plot(self, data, scan_params): if hasattr(self, 'fig'): pass else: fig = plt.figure(figsize = (12, 4)) ax1 = fig.add_subplot(131) ax3 = ax1.twinx() ax2 = fig.add_subplot(1,3,(2,3)) self.fig = fig self.ax1 = ax1 self.ax2 = ax2 self.ax3 = ax3 number, suffix = get_number_and_suffix(scan_params['delay']) float_delay = float(str(number) + time_suffix_to_scientic_str(suffix)) self.ax1.cla() self.ax3.cla() self.ax2.scatter(float_delay, trapz(data['p1'] - data['p2']), color = 'blue') self.ax2.set_xscale('log') start_index_p1 = data[data.p1>.02].index.values[0] start_index_p2 = data[data.p2>.02].index.values[0] difference = start_index_p1 - start_index_p2 data['p2'] = data.p2.shift(difference) data = data.dropna() dp = data['p1'] - data['p2'] self.ax1.plot(data['time'], dp, color = 'blue') to_plot = np.concatenate((np.array([0]), cumtrapz(dp, x = data['time']))) self.ax3.plot(data['time'], to_plot, color = 'red') self.ax3.set_yticks([]) self.ax1.set_title('Delay: {}, Voltage: {}'.format(scan_params['delay'], scan_params['high_voltage'])) plt.show(self.fig) plotting.update_plot(self.fig) def terminate(self, *args, **kwargs): stop(self.pg)
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import asyncio import re from discord import Embed from discord.ext import commands from urllib.parse import quote from ..scryfall import ScryFall class Fetcher(commands.Cog): """ [[Card Name]] to get a card. The fetcher supports the scryfall/magiccards.info syntax, so a query like [[t:goblin t:instant]] will return a goblin instant (tarfire) To use the commands put the card name right after the command like so: '!art goblin welder' """ def __init__(self, bot): self.bot = bot self.pattern = re.compile("\[\[((?:[^\]]|\][^\]])+)\]\]") self.sc = ScryFall() self.MAX_CARDS = 8 self.MAX_CARDS_BEFORE_LIST = 4 # Need to be all lowercase self.CARD_NICKNAMES = {"sad robot" : "Solemn Simulacrum", "bob": "Dark Confidant", "steve": "Sakura-Tribe Elder", "scooze": "Scavenging Ooze", "gary": "Gray Merchant of Asphodel", "tim": "Prodigal Sorcerer", "prime time": "Primeval Titan", "skittles": "Skithiryx, the Blight Dragon", "gaaiv": "Grand Arbiter Augustin IV" } @commands.Cog.listener("on_message") async def card_fetch(self, message): if message.author.id == self.bot.user.id: return msg = message.content channel = message.channel if len(re.findall(self.pattern, msg)) > self.MAX_CARDS_BEFORE_LIST: await channel.send("Too many queries in one message.") return for match in re.findall(self.pattern, msg): cards = [] if (len(match) < 3): await channel.send("Query too short") continue # Convert card nicknames to their full names if match.lower() in self.CARD_NICKNAMES: match = self.CARD_NICKNAMES[match.lower()] await asyncio.sleep(0.05) # Try to get an exact match first try: # ! is the scryfall syntax for exact matches. The card # name has to be quoted cards = self.sc.search_card(f"!'{match}'", max_cards=self.MAX_CARDS) # If a match was not made for some reason just try again except ScryFall.ScryfallException: pass if not cards: try: cards = self.sc.search_card(match, max_cards=self.MAX_CARDS) # In hindsight giving this an exception is dumb except ScryFall.CardLimitException as e: url = "https://scryfall.com/search?q={}".format(quote(match)) await channel.send(f"Too many matches. You can see the full list of matched cards here: {url}") continue # Any generic exception provided by scryfall except ScryFall.ScryfallException as e: await channel.send(e.message) continue card_count = len(cards) if not card_count: await channel.send("No cards found.") elif card_count < self.MAX_CARDS_BEFORE_LIST: for card in cards: await channel.send(embed=card.format_embed()) else: # Return titles and mana costs if there are too many results to # display details cardlist = "".join( "**{}** {}\n".format(card.name, card.mana_cost) for card in cards) await channel.send(cardlist) async def _post_card_attribute(self, ctx, cardname, attr): # Send a card attribute or the associated exception message if not cardname: await ctx.send("Please provide a card name after the command.") return try: cardname = cardname.strip("[]") cards = self.sc.search_card(cardname, max_cards=1) # Any generic exception provided by scryfall except ScryFall.ScryfallException as e: await ctx.send(e.message) return except ScryFall.CardLimitException: await ctx.send("Only one card per command please.") return card = cards[0] if card and attr in card: await ctx.send(card[attr]) else: await ctx.send("Not found.") @commands.command() async def art(self, ctx, *, arg=None): "Return the art of a given card." await self._post_card_attribute(ctx, arg, "image_art_crop") @commands.command() async def image(self, ctx, *, arg=None): "Return the image of a given card." await self._post_card_attribute(ctx, arg, "image_normal") @commands.command() async def flavor(self, ctx, *, arg=None): "Return the flavor text of a given card." await self._post_card_attribute(ctx, arg, "flavor_text") @commands.command() async def reserved(self, ctx, *, arg=None): "Return whether the given card is reserved." await self._post_card_attribute(ctx, arg, "reserved") @commands.command() async def price(self, ctx, *, arg=None): "Return the price of a given card." if not arg: await ctx.send("Please provide a card name after the command.") return # Send a card attribute or the associated exception message try: card = self.sc.search_card(arg, order="usd", max_cards=1)[0] # Any generic exception provided by scryfall except ScryFall.ScryfallException as e: await ctx.send(e.message) return except ScryFall.CardLimitException as e: await ctx.send(e.message) return await ctx.send(card.get_price_string()) @commands.command() async def rulings(self, ctx, *, arg=None): "Show all the rulings for a given card." if not arg: await ctx.send("Please provide a card name after the command.") return try: card = self.sc.card_named(arg) rulings = self.sc.get_card_rulings(card.id) except ScryFall.ScryfallException as e: await ctx.send(e.message) return if not rulings: await ctx.send("No rulings found") return # String where every line is a bold publish date followed by # the comment description = "\n\n".join( [f'**{r["published_at"]}** {r["comment"]}' for r in rulings]) # This embed could definitely be prettier await ctx.send(embed=Embed(title=card.name, description=description)) def setup(bot): bot.add_cog(Fetcher(bot))
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from django.core.files.storage import default_storage import cv2 import docopt import numpy as np import re import string import os from PIL import Image from pathlib import Path from stegano import lsb def encodeFunc(uploadedFileName, message): class SteganographyException(Exception): pass class LSB(): def __init__(self, im): self.image = im self.height=im.height self.width= im.width self.nbchannels=5 self.size = self.width * self.height #Mask used to set bits:1->00000001, 2->00000010 ... (using OR gate) self.maskONEValues = [1<<0, 1<<1, 1<<2, 1<<3, 1<<4, 1<<5, 1<<6, 1<<7] self.maskONE = self.maskONEValues.pop(0) #remove the first value as it is being used #Mask used to clear bits: 254->11111110, 253->11111101 ... (using AND gate) self.maskZEROValues = [255-(1<<i) for i in range(8)] self.maskZERO = self.maskZEROValues.pop(0) self.curwidth = 0 #Current width position self.curheight = 0 #Current height position self.curchan = 0 #Current channel position print("Stegano") def put_binary_value(self, bits): #to insert bits into the image -- the actual steganography process for c in bits: val = list(self.image[self.curheight, self.curwidth]) if int(c) == 1: val[self.curchan] = int(val[self.curchan]) | self.maskONE else: val[self.curchan] = int(val[self.curchan]) &self.maskZERO #Update image self.image[self.curheight, self.curwidth] = tuple(val) #Move the pointer to the next space self.next_slot() def next_slot(self): #to move the pointer to the next location, and error handling if message is too large if self.curchan == self.nbchannels-1: self.curchan = 0 if self.curwidth == self.width-1: self.curwidth = 0 if self.curheight == self.height-1: self.curheight = 0 if self.maskONE == 128: raise SteganographyException("No available slot remaining (image filled)") else: self.maskONE = self.maskONEValues.pop(0) self.maskZERO = self.maskZEROValues.pop(0) else: self.curheight += 1 else: self.curwidth += 1 else: self.curchan += 1 def read_bit(self): #to read in a bit from the image, at a certain [height, width][channel] val = self.image[self.curheight, self.curwidth][self.curchan] val = int(val) & self.maskONE #Move pointer to next location after reading in bit self.next_slot() #Check if corresp bitmask and val have the same set bit if val > 0: return "1" else: return "0" def read_byte(self): return self.read_bits(8) def read_bits(self, nb): #to read nb number of bits. returns image binary data and checks if current bit was masked with 1 bits = "" for i in range(nb): bits += self.read_bit() return bits def byteValue(self, val): #to generate the byte value of an int and return it return self.binary_value(val, 8) def binary_value(self, val, bitsize): #to return the binary value of an int as a byte #Extract binary equivalent binval = bin(val)[2:] #Check if out-of-bounds if len(binval)>bitsize: raise SteganographyException("Binary value larger than the expected size, catastrophic failure.") #Making it 8-bit by prefixing with zeroes while len(binval) < bitsize: binval = "0"+binval return binval def encode_text(self, txt): l = len(txt) binl = self.binary_value(l, 16) self.put_binary_value(binl) for char in txt: c = ord(char) self.put_binary_value(self.byteValue(c)) return self.image def decode_text(self): ls = self.read_bits(16) l = int(ls, 2) i = 0 unhideTxt = "" while i < 1: tmp = self.read_byte() i += 1 unhideTxt += chr(int(tmp, 2)) return unhideTxt def encode_image(self,img, msg): length = len(msg) if length > 255: print("text too long! (don't exeed 255 characters)") return False encoded = img.copy() width, height = img.size index = 0 for row in range(height): for col in range(width): if img.mode != 'RGB': r, g, b ,a = img.getpixel((col, row)) elif img.mode == 'RGB': r, g, b = img.getpixel((col, row)) # first value is length of msg if row == 0 and col == 0 and index < length: asc = length elif index <= length: c = msg[index -1] asc = ord(c) else: asc = b encoded.putpixel((col, row), (r, g , asc)) index += 1 return encoded def decode_image(self,img): width, height = img.size msg = "" index = 0 for row in range(height): for col in range(width): if img.mode != 'RGB': r, g, b ,a = img.getpixel((col, row)) elif img.mode == 'RGB': r, g, b = img.getpixel((col, row)) # first pixel r value is length of message if row == 0 and col == 0: length = b elif index <= length: msg += chr(b) index += 1 lsb_decoded_image_file = "lsb_" + original_image_file #img.save(lsb_decoded_image_file) ##print("Decoded image was saved!") return msg def encode_binary(self, data): l = len(data) if self.width * self.height * self.nbchannels < l+64: raise SteganographyException("Carrier image is not big enough to hold all the datas to Steganography") self.put_binary_value(self.binary_value(l, 64)) for byte in data: byte = byte if isinstance(byte, int) else ord(byte) self.put_binary_value(self.byteValue(byte)) return self.image def decode_binary(self): l = int(self.read_bits(64), 2) output = b"" for i in range(l): output += chr(int(self.read_byte(), 2)).encode("utf-8") #driver part: #creating new folders: if os.path.isdir('steganoModule/static/assets/images/resultEmbed') == False: os.makedirs("steganoModule/static/assets/images/resultEmbed") gambar_asli = "" #to make the file name global variable original_image_file = "" lsb_gambar_hasil = "" print("The message length is: ",len(message)) os.chdir("..") print("Current Directory Location : "+os.getcwd()) lsb_img = Image.open("steganoApps/steganoModule/static/assets/images/"+uploadedFileName) os.chdir("steganoApps/steganoModule/static/assets/images/resultEmbed") lsb_img_encoded = LSB(lsb_img).encode_image(lsb_img, message) lsb_encoded_image_file = "lsb_" + uploadedFileName lsb_img_encoded.save(lsb_encoded_image_file) print("Gambar hasil sudah disimpan! Pesan yg disisipkan adalah " + message) os.chdir("../../../../..") fileLoc = os.getcwd()+"\\"+"steganoModule\static"+"\\"+"assets\images"+"\\"+"resultEmbed"+"\\"+lsb_encoded_image_file return uploadedFileName, message, fileLoc def decodeFunc(uploadedFileNameToDecode): class SteganographyException(Exception): pass class LSB(): def __init__(self, im): self.image = im self.height=im.height self.width= im.width self.nbchannels=5 self.size = self.width * self.height #Mask used to set bits:1->00000001, 2->00000010 ... (using OR gate) self.maskONEValues = [1<<0, 1<<1, 1<<2, 1<<3, 1<<4, 1<<5, 1<<6, 1<<7] self.maskONE = self.maskONEValues.pop(0) #remove the first value as it is being used #Mask used to clear bits: 254->11111110, 253->11111101 ... (using AND gate) self.maskZEROValues = [255-(1<<i) for i in range(8)] self.maskZERO = self.maskZEROValues.pop(0) self.curwidth = 0 #Current width position self.curheight = 0 #Current height position self.curchan = 0 #Current channel position print("Stegano") def put_binary_value(self, bits): #to insert bits into the image -- the actual steganography process for c in bits: val = list(self.image[self.curheight, self.curwidth]) if int(c) == 1: val[self.curchan] = int(val[self.curchan]) | self.maskONE else: val[self.curchan] = int(val[self.curchan]) &self.maskZERO #Update image self.image[self.curheight, self.curwidth] = tuple(val) #Move the pointer to the next space self.next_slot() def next_slot(self): #to move the pointer to the next location, and error handling if message is too large if self.curchan == self.nbchannels-1: self.curchan = 0 if self.curwidth == self.width-1: self.curwidth = 0 if self.curheight == self.height-1: self.curheight = 0 if self.maskONE == 128: raise SteganographyException("No available slot remaining (image filled)") else: self.maskONE = self.maskONEValues.pop(0) self.maskZERO = self.maskZEROValues.pop(0) else: self.curheight += 1 else: self.curwidth += 1 else: self.curchan += 1 def read_bit(self): #to read in a bit from the image, at a certain [height, width][channel] val = self.image[self.curheight, self.curwidth][self.curchan] val = int(val) & self.maskONE #Move pointer to next location after reading in bit self.next_slot() #Check if corresp bitmask and val have the same set bit if val > 0: return "1" else: return "0" def read_byte(self): return self.read_bits(8) def read_bits(self, nb): #to read nb number of bits. returns image binary data and checks if current bit was masked with 1 bits = "" for i in range(nb): bits += self.read_bit() return bits def byteValue(self, val): #to generate the byte value of an int and return it return self.binary_value(val, 8) def binary_value(self, val, bitsize): #to return the binary value of an int as a byte #Extract binary equivalent binval = bin(val)[2:] #Check if out-of-bounds if len(binval)>bitsize: raise SteganographyException("Binary value larger than the expected size, catastrophic failure.") #Making it 8-bit by prefixing with zeroes while len(binval) < bitsize: binval = "0"+binval return binval def decode_text(self): ls = self.read_bits(16) l = int(ls, 2) i = 0 unhideTxt = "" while i < 1: tmp = self.read_byte() i += 1 unhideTxt += chr(int(tmp, 2)) return unhideTxt def decode_image(self,img): width, height = img.size msg = "" index = 0 for row in range(height): for col in range(width): if img.mode != 'RGB': r, g, b ,a = img.getpixel((col, row)) elif img.mode == 'RGB': r, g, b = img.getpixel((col, row)) # first pixel r value is length of message if row == 0 and col == 0: length = b elif index <= length: msg += chr(b) index += 1 lsb_decoded_image_file = "lsb_" + original_image_file #img.save(lsb_decoded_image_file) ##print("Decoded image was saved!") return msg def decode_binary(self): l = int(self.read_bits(64), 2) output = b"" for i in range(l): output += chr(int(self.read_byte(), 2)).encode("utf-8") return output #driver part: #creating new folders: gambar_asli = "" #to make the file name global variable original_image_file = "" lsb_gambar_hasil = "" os.chdir("steganoModule/static/assets/images/resultEmbed/") lsb_img = Image.open(uploadedFileNameToDecode) os.chdir("..") #to go back to the parent directory lsb_hidden_text = LSB(lsb_img).decode_image(lsb_img) print("Hidden texts were saved as text file!") print("Pesannya adalah " + lsb_hidden_text) os.chdir("../../../..") return uploadedFileNameToDecode, lsb_hidden_text
[ "jorjosbin@gmail.com" ]
jorjosbin@gmail.com
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max-lobur/k8s-weave-demo
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import os import SocketServer print "Listening TCP..." IP = "0.0.0.0" PORT = int(os.environ['PORT']) SocketServer.TCPServer(("0.0.0.0", PORT), SocketServer.BaseRequestHandler).serve_forever()
[ "max_lobur@outlook.com" ]
max_lobur@outlook.com
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/latenight.py
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[]
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avehemente/LateNight
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#Late Night from flask import Flask, render_template, request, g, jsonify import sqlite3, requests, json from multiprocessing import Pool #YELP API key = "UW-jkH9pmyT-OyCZ1HjkjCxGiBWwURT8HayafB-95bURRgETCZVlDyJZq6uPfOsa-YgJR29pVb_RjQmTEYyxxc1YxLwRJsTVfIhvSXoM7GYRt1uIegeDyia_kh9CXnYx" endpoint = "https://api.yelp.com/v3/businesses/search" headers = {'Content-Type': 'application/json', 'Authorization': 'Bearer ' + key} def get_restaurants(lat, lon, rad=10000): params = {'limit': 10, 'radius': rad, 'latitude': lat, 'longitude': lon, 'categories': 'Restaurants', 'sort_by': 'rating'} response = requests.get(url = endpoint, params = params, headers = headers) if response.status_code == 200: return json.loads(response.content.decode('utf-8')) else: return None #Neighboorhood API def get_neighborhood(lat, lon): response = requests.get(url = "https://nominatim.openstreetmap.org/reverse?lat={0}&lon={1}&format=json".format(lat, lon)) if response.status_code == 200: return json.loads(response.content.decode('utf-8')) else: return None #Add Crime Score to Restaurants def add_crime_score(rest): print("score added") address = get_neighborhood(rest["coordinates"]["latitude"], rest["coordinates"]["longitude"])["address"] if "neighbourhood" in address: rest["neighbourhood"] = address["neighbourhood"] score = query_db("select score from stats where neighborhood = ?", [rest["neighbourhood"]]) if score: rest["crime"] = score[0][0] if len(rest["location"]["display_address"]) == 2: rest["address"] = rest["location"]["display_address"][0] + ", " + rest["location"]["display_address"][1] elif len(rest["location"]["display_address"]) == 1: rest["address"] = rest["location"]["display_address"][0] del rest["categories"] del rest["coordinates"] del rest["transactions"] del rest["location"] return rest app = Flask(__name__) @app.route('/', methods=['GET', 'POST']) def home(): with app.app_context(): db = get_db() if request.method == "POST": print('server accessed') request_json = request.get_json(force=True) restaurants = get_restaurants(request_json['lat'], request_json['lon'])["businesses"] p = Pool(10) restaurants = p.map(add_crime_score, restaurants) rv = {"restaurants": restaurants} return rv else: return "Invalid Request" #Database commands DATABASE = './database.db' def get_db(): db = getattr(g, '_database', None) if db is None: db = g._database = sqlite3.connect(DATABASE) return db @app.teardown_appcontext def close_connection(exception): db = getattr(g, '_database', None) if db is not None: db.close() def query_db(query, args=(), one=False): cur = get_db().execute(query, args) rv = cur.fetchall() cur.close() return (rv[0] if rv else None) if one else rv if __name__ == '__main__': app.run(debug=True)
[ "avehemente@berkeley.edu" ]
avehemente@berkeley.edu
94d3ea0be5e02f307d069584e4530c7fdc6abeaa
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/azext_iot/central/providers/export_provider.py
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Azure/azure-iot-cli-extension
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# coding=utf-8 # -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- from typing import List, Union from knack.log import get_logger from azure.cli.core.azclierror import AzureResponseError, ClientRequestError, ResourceNotFoundError from azext_iot.central.providers.central_provider import CentralProvider from azext_iot.constants import CENTRAL_ENDPOINT from azext_iot.central import services as central_services from azext_iot.central.models.v2022_06_30_preview import ExportPreview logger = get_logger(__name__) class CentralExportProvider(CentralProvider): def __init__(self, cmd, app_id: str, api_version: str, token=None): super().__init__(cmd, app_id, api_version, token=token) self._exports = {} def list_exports( self, central_dns_suffix=CENTRAL_ENDPOINT ) -> List[Union[dict, ExportPreview]]: exports = central_services.export.list_exports( cmd=self._cmd, app_id=self._app_id, token=self._token, central_dns_suffix=central_dns_suffix, api_version=self._api_version, ) # add to cache for export in exports: self._exports.update({export["id"]: export}) return exports def add_export( self, export_id, payload, central_dnx_suffix=CENTRAL_ENDPOINT ) -> Union[dict, ExportPreview]: if export_id in self._exports: raise ClientRequestError("Destination already exists") export = central_services.export.add_export( self._cmd, self._app_id, export_id=export_id, payload=payload, token=self._token, api_version=self._api_version, central_dns_suffix=central_dnx_suffix, ) if not export: raise AzureResponseError("Failed to create export with id: '{}'.".format(export_id)) # add to cache self._exports[export["id"]] = export return export def update_export( self, export_id, payload, central_dnx_suffix=CENTRAL_ENDPOINT ) -> Union[dict, ExportPreview]: export = central_services.export.update_export( self._cmd, self._app_id, export_id=export_id, payload=payload, token=self._token, api_version=self._api_version, central_dns_suffix=central_dnx_suffix, ) if not export: raise AzureResponseError("Failed to create export with id: '{}'.".format(export_id)) # add to cache self._exports[export_id] = export return export def get_export( self, export_id, central_dnx_suffix=CENTRAL_ENDPOINT ) -> Union[dict, ExportPreview]: # get or add to cache export = self._exports.get(export_id) if not export: export = central_services.export.get_export( cmd=self._cmd, app_id=self._app_id, token=self._token, api_version=self._api_version, export_id=export_id, central_dns_suffix=central_dnx_suffix, ) if not export: raise ResourceNotFoundError("No export found with id: '{}'.".format(export_id)) else: self._exports[export_id] = export return export def delete_export(self, export_id, central_dnx_suffix=CENTRAL_ENDPOINT): central_services.export.delete_export( cmd=self._cmd, app_id=self._app_id, token=self._token, api_version=self._api_version, export_id=export_id, central_dns_suffix=central_dnx_suffix, ) self._exports.pop(export_id, None)
[ "noreply@github.com" ]
noreply@github.com
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/Xortholian Architecture.py
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[]
no_license
AlexRouault/Microsoft_Coding_Challenge
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width = 100 i = open("Xortholian-Architecture_InputForSubmission_1.txt") l = i.readline() while width < 200: height = 0 pos = 0 pattern = l[pos:pos+width] flag = True while pos < len(l) and flag: if l[pos:pos+width] == pattern: height += 1 pos += width else: if len(l)-width*height<200: print(height) print(pattern) break width += 1
[ "noreply@github.com" ]
noreply@github.com
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/mehdi_lib/TESTS/test_basics/test_prototype_.py
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[]
no_license
msepahkar/infrastructure
863c9c0b03c5f05fef0c10cc28be31f53b62ed31
924a7dedcee00e075617044bc334ff9c0c5bd09e
refs/heads/master
2023-07-15T22:03:18.455115
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from mehdi_lib.basics import prototype_, thing_ from mehdi_lib.generals import general_fields, general_editors, general_ui_titles import pytest pytestmark = pytest.mark.basics # =========================================================================== class TempThingPrototype(prototype_.ThingPrototype): pass # =========================================================================== class TempThing(thing_.Thing): pass # =========================================================================== def test_Prototype(): assert TempThingPrototype.get_main_type() == TempThing assert prototype_.Prototype.get_prototype(TempThing) == TempThingPrototype assert TempThingPrototype.referencing_prototypes() == []
[ "msepahkar@gmail.com" ]
msepahkar@gmail.com
fac1d3b227a89036b91c9bcb5e254e971aa0dc0b
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/app.py
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[]
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alychinque/CookBook
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f1bac1030ec51d9d7bd1a3dfb9ccfc66866a470c
refs/heads/master
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import os from flask import ( Flask, flash, render_template, redirect, request, session, url_for) from flask_pymongo import PyMongo from bson.objectid import ObjectId from werkzeug.security import generate_password_hash, check_password_hash if os.path.exists('env.py'): import env app = Flask(__name__) app.config['MONGO_DBNAME'] = os.environ.get('MONGO_DBNAME') app.config['MONGO_URI'] = os.environ.get('MONGO_URI') app.secret_key = os.environ.get('SECRET_KEY') mongo = PyMongo(app) @app.route('/') def home(): recipes = mongo.db.recipes.find() return render_template('pages/home.html', recipes=recipes) @app.route('/signin', methods=['GET', 'POST']) def signin(): """ Allow user to get into the web application """ if request.method == "POST": # check if email already exists in db user = mongo.db.users.find_one( {'email': request.form.get('email')}) if user: # ensure hashed password matches user input if check_password_hash( user['password'], request.form.get('password')): user_id = str(user['_id']) session['user_id'] = str(user_id) return redirect(url_for('myRecipes', user_id=user_id)) else: # invalid password match flash('Incorrect Email and/or Password') return redirect(url_for('signin')) else: # username doesn't exist flash('Incorrect Email and/or Password') return redirect(url_for('signin')) return render_template('pages/checkuser.html') @app.route("/signup", methods=['GET', 'POST']) def signup(): """ Allow user to sign up the webapplication """ if request.method == 'POST': # check if email already exists in db user_email = mongo.db.users.find_one( {'email': request.form.get('email').lower()}) if user_email: flash('Email already used') return redirect(url_for('signup')) register = { 'name': request.form.get('name').lower(), 'email': request.form.get('email').lower(), 'password': generate_password_hash(request.form.get('password')) } mongo.db.users.insert_one(register) flash('Registration Successful') return redirect(url_for('signin')) return render_template('pages/checkuser.html', register=True) @app.route('/recipes/', methods=['GET', 'POST']) def recipes(): """ Lead to recipes """ recipes = mongo.db.recipes.find() return render_template('pages/recipes.html', recipes=recipes) @app.route('/recipe/<recipe_id>') def recipe(recipe_id): """ Lead to recipe info """ recipe = mongo.db.recipes.find_one({'_id': ObjectId(recipe_id)}) return render_template('pages/recipe_info.html', recipe=recipe) @app.route('/myrecipes/<user_id>', methods=['GET', 'POST']) def myRecipes(user_id): """ Lead to myrecipes page """ # grab the session user's name and email from db if session['user_id']: user = mongo.db.users.find_one({'_id': ObjectId(user_id)}) recipes = mongo.db.recipes.find( {'user_id': user_id}) name = user['name'] return render_template( 'pages/myrecipes.html', name=name, recipes=recipes) return redirect(url_for('pages/signin')) @app.route('/search/', methods=['GET', 'POST']) def search(): query = request.form.get('query') recipes = mongo.db.recipes.find({'$text': {'$search': query}}) return render_template('pages/home.html', recipes=recipes, query=query) @app.route('/search/recipes/', methods=['GET', 'POST']) def search_recipes(): query = request.form.get('query') recipes = mongo.db.recipes.find({'$text': {'$search': query}}) return render_template('pages/recipes.html', recipes=recipes, query=query) @app.route('/recipe/add/<user_id>', methods=["GET", "POST"]) def addRecipe(user_id): """ Add a Recipe and Takes user back to My Recipes """ user = mongo.db.users.find_one({'_id': ObjectId(user_id)}) if request.method == "POST": recipe_image = request.form.get( 'recipe_image') if len(recipe_image) == 0: image_default = "https://is.gd/odqOt4" else: image_default = recipe_image submit = { "user_id": user_id, "name_recipe": request.form.get("recipe"), "category": request.form.get("category"), "time": request.form.get("time"), "yield": request.form.get("yield"), "ingredients": request.form.get("ingredients"), "step1": request.form.get("step1"), "step2": request.form.get("step2"), "step3": request.form.get("step3"), "created_by": user['name'], "recipe_image": image_default } mongo.db.recipes.insert_one(submit) flash("Recipe Successfully Added") return redirect(url_for("myRecipes", user_id=session['user_id'])) return render_template( "pages/recipe.html", user_id=session['user_id'], add=True) @app.route('/recipe/edit/<user_id>/<recipe_id>', methods=['GET', 'POST']) def editRecipe(user_id, recipe_id): """ Edit recipe and Salve the new one """ user = mongo.db.users.find_one({'_id': ObjectId(user_id)}) if request.method == "POST": recipe_image = request.form.get( 'recipe_image') if len(recipe_image) == 0: image_default = "https://is.gd/odqOt4" else: image_default = recipe_image submit = { "user_id": user_id, "name_recipe": request.form.get("recipe"), "category": request.form.get("category"), "time": request.form.get("time"), "yield": request.form.get("yield"), "ingredients": request.form.get("ingredients"), "step1": request.form.get("step1"), "step2": request.form.get("step2"), "step3": request.form.get("step3"), "created_by": user['name'], "recipe_image": image_default } mongo.db.recipes.update({'_id': ObjectId(recipe_id)}, submit) flash("Recipe Successfully Updated") return redirect(url_for("myRecipes", user_id=session['user_id'])) recipe = mongo.db.recipes.find_one({'_id': ObjectId(recipe_id)}) return render_template( 'pages/recipe.html', user_id=session['user_id'], recipe=recipe) @app.route('/recipe/delete/<recipe_id>') def deleteRecipe(recipe_id): """ Delete recipe and Takes user back to My Recipes """ mongo.db.recipes.remove({'_id': ObjectId(recipe_id)}) flash('Recipe Successfully Deleted') return redirect(url_for("myRecipes", user_id=session['user_id'])) @app.route('/logout') def logout(): """ Allows the user to log out Takes user back to home """ flash('You have been logged out') session.clear() return redirect(url_for('signin')) if __name__ == '__main__': app.run(host=os.environ.get('IP'), port=int(os.environ.get('PORT')), debug=os.environ.get('DEBUG'))
[ "alychinque@gmail.com" ]
alychinque@gmail.com
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/GiftLand/Product/migrations/0007_auto_20200919_2134.py
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[]
no_license
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# Generated by Django 3.1.1 on 2020-09-19 15:34 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('Product', '0006_cart_orders'), ] operations = [ migrations.RemoveField( model_name='cart', name='orders', ), migrations.RemoveField( model_name='cart', name='users', ), ]
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#coding:utf8 ''' Created on Sep 9, 2016 @author: Administrator ''' import datetime import re import sys reload(sys) sys.setdefaultencoding('utf8') def cout(ls): for l in ls: print l, ':', ls[l] if type(ls[l])!=type('') else ls[l].encode('utf8'), print def out(ls): for l in ls: print l, print def checkIdCard(id_number): if len(id_number) != 18 and len(id_number) != 15: return False if len(id_number) == 18 and not re.match(r"^\d{17}(\d|X|x)$", id_number): return False if len(id_number) == 15 and not re.match(r"\d+$", id_number): return False return True def _checkIdCard(id_number): area_dict = {11:1,12:1,13:1,14:1,15:1,21:1,22:1,23:1,31:1,32:1,33:1,34:1,35:1,36:1,37:1,41:1,42:1,43:1,44:1,45:1,46:1,50:1,51:1,52:1,53:1,54:1,61:1,62:1,63:1,64:1,71:1,81:1,82:1,91:1} ''' area_dict = {11: "北京", 12: "天津", 13: "河北", 14: "山西", 15: "内蒙古", 21: "辽宁", 22: "吉林", 23: "黑龙江", 31: "上海", 32: "江苏", 33: "浙江", 34: "安徽", 35: "福建", 36: "江西", 37: "山东", 41: "河南", 42: "湖北", 43: "湖南", 44: "广东", 45: "广西", 46: "海南", 50: "重庆", 51: "四川", 52: "贵州", 53: "云南", 54: "西藏", 61: "陕西", 62: "甘肃", 63: "青海", 64: "新疆", 71: "台湾", 81: "香港", 82: "澳门", 91: "外国"} ''' id_code_list = [7, 9, 10, 5, 8, 4, 2, 1, 6, 3, 7, 9, 10, 5, 8, 4, 2] check_code_list = [1, 0, 'X', 9, 8, 7, 6, 5, 4, 3, 2] if len(id_number) != 18: return False if not re.match(r"^\d{17}(\d|X|x)$", id_number): return False if int(id_number[0:2]) not in area_dict: return False try: datetime.date(int(id_number[6:10]), int(id_number[10:12]), int(id_number[12:14])) except ValueError: return False if str(check_code_list[sum([a * b for a, b in zip(id_code_list, [int(a) for a in id_number[0:-1]])]) % 11]) != id_number.upper()[-1]: return False return True def dbKeys(table, keys): temp = dict((k, 1) for k in keys) lskey = {} for item in table.find({}).limit(1): lskey = dict((key, 0) for key in item if key not in temp) return lskey def getCompanyId(table): return dict((item['company_name'].encode('utf8'), item['id']) for item in table.find({}, dbKeys(table, ['company_name', 'id']))) def getMaxId(table, name): if len(dbKeys(table, [name]))==0: return -1 return table.find({}, dbKeys(table, [name])).sort(name, -1).limit(1)[0][name] def strToDate(_str): try: sp = _str.strip().split('-') dt = datetime.datetime(int(sp[0]), int(sp[1]), int(sp[2])) return dt except: return None def dateToStr(_date): if not _date: return '' return _date.strftime('%Y-%m-%d').encode('utf8') def dateFormat(_str): return dateToStr(strToDate(_str)) def haveNum(_s): if (not _s) or _s.strip()=='': return False st = set(_s) num = dict([[str(i), 1] for i in range(0,10)]) for s in st: if s in num: return True return False def Date_F(str): if not str or str == '': return '' sp = [] if str.find("年")>0 and str.find("月")>0: sp = re.split("年|月".decode('utf8'), str) elif str.find("-")>0: sp = re.split("-".decode('utf8'), str) if len(sp)!=3: return str try: _dt = datetime.datetime(int(sp[0]), int(sp[1]), int(sp[2].replace('日', ''))) _dts = _dt.strftime('%Y-%m-%d').encode('utf8') return _dts except: return ''
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/tools/codeAudit/cobra-master/engine/scan.py
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# -*- coding: utf-8 -*- """ engine.scan ~~~~~~~~~~~ Implements scan :author: Feei <feei@feei.cn> :homepage: https://github.com/wufeifei/cobra :license: MIT, see LICENSE for more details. :copyright: Copyright (c) 2017 Feei. All rights reserved """ import os import time import subprocess import getpass from app.models import CobraProjects, CobraTaskInfo from app import db from utils import config, decompress from utils.log import logging from pickup import git from pickup.git import NotExistError, AuthError from engine import detection logging = logging.getLogger(__name__) class Scan(object): def __init__(self, target): """ Set target :param target: compress(filename) version(repository) """ self.target = target.strip() def compress(self): dc = decompress.Decompress(self.target) ret, result_d = dc.decompress() if ret is False: return 1002, result_d else: directory = result_d logging.info("Scan directory: {0}".format(directory)) current_time = time.strftime('%Y-%m-%d %X', time.localtime()) p = CobraProjects.query.filter_by(repository=directory).first() # detection framework for project framework, language = detection.Detection(directory).framework() if framework != '' or language != '': project_framework = '{0} ({1})'.format(framework, language) else: project_framework = '' if not p: # insert into project table. repo_name = directory.split('/')[-1] project = CobraProjects(directory, '', repo_name, 'Upload', project_framework, '', '', 1, current_time) db.session.add(project) db.session.commit() project_id = project.id else: project_id = p.id # update project's framework p.framework = project_framework db.session.add(p) task = CobraTaskInfo(directory, '', 3, '', '', 0, 0, 0, 1, 0, 0, current_time, current_time) db.session.add(task) db.session.commit() cobra_path = os.path.join(config.Config().project_directory, 'cobra.py') if os.path.isfile(cobra_path) is not True: return 1004, 'Cobra Not Found' # 扫描漏洞 subprocess.Popen(['python', cobra_path, "scan", "-p", str(project_id), "-i", str(task.id), "-t", directory]) # 统计代码行数 subprocess.Popen(['python', cobra_path, "statistic", "-i", str(task.id), "-t", directory]) # 检测漏洞修复状况 subprocess.Popen(['python', cobra_path, "repair", "-p", str(project_id)]) result = dict() result['scan_id'] = task.id result['project_id'] = project_id result['msg'] = u'success' return 1001, result def pull_code(self, branch='master'): logging.info('Gitlab project') # Git if 'gitlab' in self.target: username = config.Config('git', 'username').value password = config.Config('git', 'password').value else: username = None password = None gg = git.Git(self.target, branch=branch, username=username, password=password) # Git Clone Error try: clone_ret, clone_err = gg.clone() if clone_ret is False: return 4001, 'Clone Failed ({0})'.format(clone_err), gg except NotExistError: # update project status p = CobraProjects.query.filter_by(repository=self.target).first() if p is not None: if p.status == CobraProjects.get_status('on'): p.status = CobraProjects.get_status('off') db.session.add(p) db.session.commit() return 4001, 'Repository Does not exist!', gg except AuthError: logging.critical('Git Authentication Failed') return 4001, 'Repository Authentication Failed', gg return 1001, 'Success', gg def version(self, branch=None, new_version=None, old_version=None): # Gitlab if '.git' in self.target: ret, desc, gg = self.pull_code(branch) if ret == 1001: repo_author = gg.repo_author repo_name = gg.repo_name repo_directory = gg.repo_directory else: return ret, desc elif 'svn' in self.target: # SVN repo_name = 'mogujie' repo_author = 'all' repo_directory = config.Config('upload', 'directory').value else: repo_name = 'Local Project' repo_author = getpass.getuser() repo_directory = self.target if not os.path.exists(repo_directory): return 1004, 'repo directory not exist ({0})'.format(repo_directory) if new_version == "" or old_version == "": scan_way = 1 else: scan_way = 2 current_time = time.strftime('%Y-%m-%d %X', time.localtime()) # insert into task info table. task = CobraTaskInfo(self.target, branch, scan_way, new_version, old_version, 0, 0, 0, 1, 0, 0, current_time, current_time) p = CobraProjects.query.filter_by(repository=self.target).first() project = None # detection framework for project framework, language = detection.Detection(repo_directory).framework() if framework != '' or language != '': project_framework = '{0} ({1})'.format(framework, language) else: project_framework = '' project_id = 0 if not p: # insert into project table. project = CobraProjects(self.target, '', repo_name, repo_author, project_framework, '', '', 1, current_time) else: project_id = p.id # update project's framework p.framework = project_framework db.session.add(p) try: db.session.add(task) if not p: db.session.add(project) db.session.commit() if not p: project_id = project.id cobra_path = os.path.join(config.Config().project_directory, 'cobra.py') if os.path.isfile(cobra_path) is not True: return 1004, 'cobra.py not found' # scan vulnerability subprocess.Popen(['python', cobra_path, "scan", "-p", str(project_id), "-i", str(task.id), "-t", repo_directory]) # statistic code subprocess.Popen(['python', cobra_path, "statistic", "-i", str(task.id), "-t", repo_directory]) # check repair subprocess.Popen(['python', cobra_path, "repair", "-p", str(project_id)]) result = dict() result['scan_id'] = task.id result['project_id'] = project_id result['msg'] = u'success' return 1001, result except Exception as e: return 1004, 'Unknown error, try again later?' + e.message
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# Generated by Django 2.0.2 on 2019-04-05 08:11 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('jobs', '0001_initial'), ] operations = [ migrations.RenameField( model_name='job', old_name='image', new_name='imagefun', ), ]
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# Copyright DST Group. Licensed under the MIT license. import pprint from copy import deepcopy from CybORG.Shared.Observation import Observation class Results: def __init__(self, observation: dict = None, done: bool = None, reward: float = None, info=None, parameter_mask=None, action_space=None, error: Exception = None, error_msg: str = None, next_observation=None, action=None, action_name: str = None): self.observation = observation self.next_observation = next_observation self.done = done self.reward = reward self.action = action self.info = info self.parameter_mask = parameter_mask self.action_space = action_space self.error = error self.error_msg = error_msg self.action_name = action_name self.selection_masks = None def has_error(self): return self.error is not None def copy(self): copy_kwargs = { "done": self.done, "reward": self.reward, "error": deepcopy(self.error), "error_msg": deepcopy(self.error_msg), "action": deepcopy(self.action), "info": deepcopy(self.info), "action_space": deepcopy(self.action_space) } if isinstance(self.observation, Observation): copy_kwargs["observation"] = self.observation.copy() else: copy_kwargs["observation"] = deepcopy(self.observation) if isinstance(self.next_observation, Observation): copy_kwargs["next_observation"] = self.next_observation.copy() else: copy_kwargs["next_observation"] = deepcopy(self.next_observation) return Results(**copy_kwargs) def __str__(self): output = [f"{self.__class__.__name__}:"] for attr, v in self.__dict__.items(): if v is None: continue if isinstance(v, dict): v_str = pprint.pformat(v) else: v_str = str(v) output.append(f"{attr}={v_str}") return "\n".join(output) def __eq__(self, other): if not isinstance(other, type(self)): return False for k, v in self.__dict__.items(): if k not in other.__dict__: return False if v != other.__dict__[k]: return False return True
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def is_odd(n): return n % 2 == 1 res = list(filter(is_odd,[1,2,3,4,5,6,7,8,9,10,15])) print( res )
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/FirstPlot.py
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####################################LINEGRAPH################################################### #import pyplot as plt from the matplotlib module from matplotlib import pyplot as plt #create variables to hold lists of data for x and y axis years = [1950,1960,1970,1980,1990,2000,2010] gdp = [300.2,543.3,1075.9,2862.4,5979.6,10289.1,14958.4] #create pyplot line chart plt.plot(years, gdp, color = 'green', marker ='o', linestyle='solid') #give chart title plt.title('Nominal GDP') #give x-axis title plt.ylabel('Gross Domestic Product (GDP)') #give y-axis title plt.xlabel('Years') #show chart plt.show()
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# While Loop num = 0 count = 0 sum = 0 while num >= 0: num=int(input("enter any number .. -1 to exit\n")) if num >= 0: # count = count + 1 #this counts number of inputs count += 1 sum = sum + num # this adds input number cumulatively. if count > 10: break avg = sum / count print ("numbers input:",count, "average:",avg)
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/extras/python/dsp_test.py
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# Copyright 2020, 2023 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); you may not # use this file except in compliance with the License. You may obtain a copy of # the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations under # the License. """Tests for dsp.py.""" import fractions import io import os import os.path import struct import tempfile import unittest import numpy as np from extras.python import dsp class FastFunTest(unittest.TestCase): def test_fast_log2_accuracy(self): # An arbitrary spot check at x=4.2 with a scalar input. output = dsp.fast_log2(np.float32(4.2)) self.assertIsInstance(output, np.float32) self.assertAlmostEqual(output, np.log2(4.2), delta=0.002) # Check thoroughly at random positions with an array input. To test a wide # range, we first make x in [-125.5, 125.5], then make y = exp2(x), so that # y is distributed over most of the finite float range, excluding denormals. x = np.random.uniform(-125.5, 125.5, size=10000).astype(np.float32) y = 2.0**x output = dsp.fast_log2(y) self.assertTupleEqual(output.shape, x.shape) self.assertEqual(output.dtype, np.float32) max_abs_error = np.max(np.abs(output - x)) self.assertLess(max_abs_error, 0.003) def test_fast_exp2_accuracy(self): # An arbitrary spot check at x=4.2 with a scalar input. output = dsp.fast_exp2(np.float32(4.2)) self.assertIsInstance(output, np.float32) self.assertAlmostEqual(output / np.exp2(4.2), 1.0, delta=6e-4) x = np.random.uniform(-125.5, 125.5, size=10000).astype(np.float32) y = 2.0**x output = dsp.fast_exp2(x) self.assertTupleEqual(output.shape, x.shape) self.assertEqual(output.dtype, np.float32) max_rel_error = np.max(np.abs(output / y - 1.0)) self.assertLess(max_rel_error, 0.003) def test_fast_pow_accuracy(self): # Check x^y over a 2-D grid of points 0.1 <= x <= 50, -2 <= y <= 2. x = (np.arange(1, 501, dtype=np.float32) * 0.1)[np.newaxis, :] y = (np.arange(-20, 21, dtype=np.float32) * 0.1)[:, np.newaxis] output = dsp.fast_pow(x, y) self.assertTupleEqual(output.shape, (41, 500)) self.assertEqual(output.dtype, np.float32) max_rel_error = np.max(np.abs(output / x**y - 1.0)) self.assertLess(max_rel_error, 0.005) def test_fast_tanh_accuracy(self): x = np.random.uniform(-12.0, 12.0, size=10000).astype(np.float32) output = dsp.fast_tanh(x) self.assertTupleEqual(output.shape, x.shape) self.assertEqual(output.dtype, np.float32) max_abs_error = np.max(np.abs(output - np.tanh(x))) self.assertLess(max_abs_error, 0.0008) # Check large arguments. self.assertEqual(dsp.fast_tanh(np.float32(0.0)), 0.0) self.assertEqual(dsp.fast_tanh(np.float32(1000.0)), 1.0) self.assertEqual(dsp.fast_tanh(np.float32(-1000.0)), -1.0) def test_fast_sigmoid_accuracy(self): x = np.random.uniform(-12.0, 12.0, size=10000).astype(np.float32) output = dsp.fast_sigmoid(x) self.assertTupleEqual(output.shape, x.shape) self.assertEqual(output.dtype, np.float32) expected = 1.0 / (1.0 + np.exp(-x)) max_abs_error = np.max(np.abs(output - expected)) self.assertLess(max_abs_error, 0.0004) # Check large arguments. self.assertEqual(dsp.fast_sigmoid(np.float32(0.0)), 0.5) self.assertEqual(dsp.fast_sigmoid(np.float32(1000.0)), 1.0) self.assertEqual(dsp.fast_sigmoid(np.float32(-1000.0)), 0.0) # Tested resampling sample rates in Hz. RATES = (12000, 16000, 32000, 44100, 48000, 16000 * np.sqrt(2)) def make_message(options): """Returns formatted string describing `options` dict.""" return 'Options: ' + ', '.join('%s=%s' % (k, options[k]) for k in options) class ResamplerKernelTest(unittest.TestCase): def test_resampler_kernel(self): """Test ResamplerKernel for various sample rates and support radii.""" for filter_radius_factor in (5.0, 17.0): for input_sample_rate_hz in RATES: for output_sample_rate_hz in RATES: cutoff_proportion = 0.85 kaiser_beta = 6.0 options = {'input_sample_rate_hz': input_sample_rate_hz, 'output_sample_rate_hz': output_sample_rate_hz, 'filter_radius_factor': filter_radius_factor, 'cutoff_proportion': cutoff_proportion, 'kaiser_beta': kaiser_beta} message = make_message(options) kernel = dsp.ResamplerKernel(**options) self.assertAlmostEqual(kernel.factor * output_sample_rate_hz, input_sample_rate_hz, delta=0.005, msg=message) # The kernel should be zero outside of [-radius, +radius]. self.assertEqual(kernel(-kernel.radius - 1e-6), 0.0, msg=message) self.assertEqual(kernel(kernel.radius + 1e-6), 0.0, msg=message) x = np.arange(1 + 50 * kernel.radius) / 50 # Compare with samples of the expected kernel. input_nyquist = input_sample_rate_hz / 2 output_nyquist = output_sample_rate_hz / 2 cutoff_hz = cutoff_proportion * min(input_nyquist, output_nyquist) theta = cutoff_hz / input_nyquist support_thresh = kernel.radius * (1.0 + 100 * np.finfo(np.double).eps) expected_kernel = (np.abs(x) <= support_thresh) * ( theta * np.sinc(theta * x) * np.i0(kaiser_beta * np.sqrt(np.maximum(0, 1 - (x / kernel.radius)**2))) / np.i0(kaiser_beta)) np.testing.assert_allclose(kernel(x), expected_kernel, atol=1e-6, err_msg=message) class ResamplerTest(unittest.TestCase): def _reference_resampling(self, kernel, rational_factor, input_samples): """Reference implementation for resampling. Implement resampling directly according to x'[m] = x(m/F') = sum_n x[n] h(m F/F' - n), where h is the resampling kernel, F is the input sample rate, and F' is the output sample rate. Args: kernel: ResamplerKernel. rational_factor: Fraction, rational approximation of F/F'. input_samples: 2D numpy array. Returns: 2D numpy array, resampled output. """ output = [] m = 0 while True: n0 = m * rational_factor n_first = int(round(n0 - kernel.radius)) n_last = int(round(n0 + kernel.radius)) self.assertEqual(kernel(n0 - (n_first - 1)), 0.0) self.assertEqual(kernel(n0 - (n_last + 1)), 0.0) if n_last >= len(input_samples): break n = np.arange(n_first, n_last + 1) output.append(kernel(n0 - n).dot( np.expand_dims(n >= 0, axis=1) * input_samples[n])) m += 1 if output: output = np.vstack(output) else: output = np.empty((0, input_samples.shape[1])) return output def test_compare_with_reference_resampler(self): """Compare Resampler to _reference_resampling() implementation.""" np.random.seed(0) for filter_radius_factor in (4.0, 5.0, 17.0): num_channels_list = (1, 2, 3) if filter_radius_factor == 5.0 else (1,) for num_channels in num_channels_list: input_samples = -0.5 + np.random.rand(50, num_channels) for input_sample_rate_hz in RATES: for output_sample_rate_hz in RATES: options = {'input_sample_rate_hz': input_sample_rate_hz, 'output_sample_rate_hz': output_sample_rate_hz, 'filter_radius_factor': filter_radius_factor} message = make_message(options) resampler = dsp.Resampler(**options, num_channels=num_channels) self.assertEqual(resampler.num_channels, num_channels, msg=message) output = resampler.process_samples(input_samples) kernel = dsp.ResamplerKernel(**options) self.assertAlmostEqual(float(resampler.rational_factor), kernel.factor, delta=5e-4, msg=message) self.assertEqual( resampler.flush_frames, 2 * np.ceil(kernel.radius), msg=message) expected = self._reference_resampling( kernel, resampler.rational_factor, input_samples) self.assertAlmostEqual(len(output), len(expected), delta=2, msg=message) min_size = min(len(output), len(expected)) np.testing.assert_allclose( output[:min_size], expected[:min_size], atol=5e-7, err_msg=message) def test_rational_approximation_options(self): """Test that rational approximation options work as expected.""" # Request a resampling factor of pi with default options. resampler = dsp.Resampler(np.pi, 1.0) self.assertEqual(resampler.rational_factor, fractions.Fraction(355, 113)) # Truncate continued fraction expansion at 3 terms. resampler = dsp.Resampler(np.pi, 1.0, rational_approximation_max_terms=3) self.assertEqual(resampler.rational_factor, fractions.Fraction(333, 106)) # 3rd convergent [3; 7, 15]. # Truncate when continued fraction residual is less than 0.1. resampler = dsp.Resampler( np.pi, 1.0, rational_approximation_convergence_tolerance=0.1) self.assertEqual(resampler.rational_factor, fractions.Fraction(22, 7)) # 2nd convergent, [3; 7]. def test_resample_sine_wave(self): """Test Resampler on a sine wave for various sample rates.""" frequency = 1100.7 for input_sample_rate_hz in RATES: radians_per_sample = 2 * np.pi * frequency / input_sample_rate_hz input_samples = np.sin(radians_per_sample * np.arange(100)) for output_sample_rate_hz in RATES: options = {'input_sample_rate_hz': input_sample_rate_hz, 'output_sample_rate_hz': output_sample_rate_hz} message = make_message(options) resampler = dsp.Resampler(**options) # Run resampler on sine wave samples. output_samples = resampler.process_samples(input_samples) kernel = dsp.ResamplerKernel( input_sample_rate_hz, output_sample_rate_hz) expected_size = (len(input_samples) - kernel.radius) / kernel.factor self.assertAlmostEqual(len(output_samples), expected_size, delta=1.0, msg=message) radians_per_sample = 2 * np.pi * frequency / output_sample_rate_hz expected = np.sin(radians_per_sample * np.arange(len(output_samples))) # We ignore the first few output samples because they depend on input # samples at negative times, which are extrapolated as zeros. num_to_ignore = 1 + int(kernel.radius / kernel.factor) np.testing.assert_allclose(output_samples[num_to_ignore:], expected[num_to_ignore:], atol=0.005, err_msg=message) def test_resample_chirp(self): """Test Resampler on a chirp signal for various sample rates.""" duration_s = 0.025 for input_sample_rate_hz in RATES: max_frequency_hz = 0.45 * input_sample_rate_hz chirp_slope = max_frequency_hz / duration_s input_size = int(duration_s * input_sample_rate_hz) t = np.arange(input_size) / input_sample_rate_hz input_samples = np.sin(np.pi * chirp_slope * t**2).astype(np.float32) for output_sample_rate_hz in RATES: options = {'input_sample_rate_hz': input_sample_rate_hz, 'output_sample_rate_hz': output_sample_rate_hz} message = make_message(options) resampler = dsp.Resampler(**options) # Run resampler on the chirp. output_samples = resampler.process_samples(input_samples) kernel = dsp.ResamplerKernel(**options) cutoff_hz = (kernel.radians_per_sample * input_sample_rate_hz / (2 * np.pi)) t = np.arange(len(output_samples)) / output_sample_rate_hz # Compute the chirp's instantaneous frequency at t. chirp_frequency_hz = chirp_slope * t # Expect output near zero when chirp frequency is above cutoff_hz. expected = ((chirp_frequency_hz < cutoff_hz) * np.sin(np.pi * chirp_slope * t**2).astype(np.float32)) # Skip samples in the transition between passband and stopband. mask = np.abs(chirp_frequency_hz - cutoff_hz) >= 0.3 * cutoff_hz np.testing.assert_allclose( output_samples[mask], expected[mask], atol=0.04, err_msg=message) def test_streaming_random_block_size(self): """Test Resampler streaming works by passing blocks of random sizes.""" np.random.seed(0) input_samples = np.random.randn(500).astype(np.float32) max_block_size = 20 for input_sample_rate_hz in RATES: for output_sample_rate_hz in RATES: options = {'input_sample_rate_hz': input_sample_rate_hz, 'output_sample_rate_hz': output_sample_rate_hz} message = make_message(options) resampler = dsp.Resampler(**options) # Do "streaming" resampling, passing successive blocks of input. streaming = [] n = 0 while n < len(input_samples): input_block_size = int(np.random.rand() * max_block_size) input_block = input_samples[n:n + input_block_size] n += input_block_size # Resample the block. output_block = resampler.process_samples(input_block) streaming.append(output_block) streaming = np.hstack(streaming) resampler.reset() # Do "nonstreaming" resampling, processing the whole input at once. nonstreaming = resampler.process_samples(input_samples) # Streaming vs. nonstreaming outputs should match. np.testing.assert_allclose(streaming, nonstreaming, atol=1e-6, err_msg=message) def make_24_bit_wav(samples, sample_rate_hz): """Makes a 24-bit WAV.""" num_frames, num_channels = samples.shape block_align = 3 * num_channels # Numpy doesn't have a 24-bit dtype, so serialize as int32 and remove LSBs. data = bytearray(samples.astype('<i4').tobytes()) del data[::4] return ( b'RIFF\x00\x00\x00\x00WAVEfmt (\x00\x00\x00\xfe\xff' + struct.pack('<hIIh', num_channels, sample_rate_hz, block_align * sample_rate_hz, block_align) + b'\x18\x00\x16\x00\x18\x00\x04\x00\x00\x00\x01\x00\x00\x00\x00\x00\x10' + b'\x00\x80\x00\x00\xaa\x008\x9bqfact\x04\x00\x00\x00' + struct.pack('<I', num_frames) + b'data' + struct.pack('<I', len(data)) + data) def make_float_wav(samples, sample_rate_hz): """Makes a 32-bit float WAV.""" num_frames, num_channels = samples.shape block_align = 4 * num_channels data = samples.astype('<f4').tobytes() return ( b'RIFF\x00\x00\x00\x00WAVEfmt \x12\x00\x00\x00\x03\x00' + struct.pack('<hIIh', num_channels, sample_rate_hz, block_align * sample_rate_hz, block_align) + b' \x00\x00\x00fact\x04\x00\x00\x00' + struct.pack('<I', num_frames) + b'data' + struct.pack('<I', len(data)) + data) class WavDifferentIoStreamsTest(unittest.TestCase): @classmethod def setUpClass(cls): super(WavDifferentIoStreamsTest, cls).setUpClass() cls.temp_dir = tempfile.mkdtemp(suffix='wav_io_test') # Generate 48kHz stereo WAV file with 16-bit PCM samples `wav_samples`. n = np.arange(200, dtype=np.int16) cls.wav_samples = np.column_stack((10 * n + 1, 10 * n + 2)) cls.wav_bytes = ( b'RIFFD\x03\x00\x00WAVEfmt \x10\x00\x00\x00\x01\x00\x02\x00' + b'\x80\xbb\x00\x00\x00\xee\x02\x00\x04\x00\x10\x00data \x03\x00\x00' + cls.wav_samples.astype('<i2').tobytes()) # Write as local temp file. cls.read_filename = os.path.join(cls.temp_dir, 'read.wav') with open(cls.read_filename, 'wb') as f: f.write(cls.wav_bytes) @classmethod def tearDownClass(cls): super(WavDifferentIoStreamsTest, cls).tearDownClass() os.remove(cls.read_filename) os.rmdir(cls.temp_dir) def test_read_wav_given_filename(self): """Read WAV given a filename with read_wav_file().""" samples, sample_rate_hz = dsp.read_wav_file(self.read_filename) self.assertEqual(samples.dtype, np.int16) np.testing.assert_array_equal(samples, self.wav_samples) self.assertEqual(sample_rate_hz, 48000) def test_from_bytes(self): """Read WAV from a byte string with read_wav_from_bytes().""" samples, sample_rate_hz = dsp.read_wav_from_bytes(self.wav_bytes) self.assertEqual(samples.dtype, np.int16) np.testing.assert_array_equal(samples, self.wav_samples) self.assertEqual(sample_rate_hz, 48000) def test_read_wav_given_local_file_object(self): """Read WAV given a local file object.""" with open(self.read_filename, 'rb') as f: samples, sample_rate_hz = dsp.read_wav_file(f) self.assertEqual(samples.dtype, np.int16) np.testing.assert_array_equal(samples, self.wav_samples) self.assertEqual(sample_rate_hz, 48000) def test_read_wav_given_memory_stream(self): """Read WAV from an in-memory stream.""" samples, sample_rate_hz = dsp.read_wav_file(io.BytesIO(self.wav_bytes)) self.assertEqual(samples.dtype, np.int16) np.testing.assert_array_equal(samples, self.wav_samples) self.assertEqual(sample_rate_hz, 48000) def test_write_wav_local_file(self): """Write WAV to a given filename with write_wav_file().""" try: write_filename = os.path.join(self.temp_dir, 'write.wav') dsp.write_wav_file(write_filename, self.wav_samples, 44100) samples, sample_rate_hz = dsp.read_wav_file(write_filename) np.testing.assert_array_equal(samples, self.wav_samples) self.assertEqual(sample_rate_hz, 44100) finally: if os.path.isfile(write_filename): os.remove(write_filename) def test_to_bytes(self): """Write WAV to byte string with write_wav_to_bytes().""" wav_bytes = dsp.write_wav_to_bytes(self.wav_samples, 44100) samples, sample_rate_hz = dsp.read_wav_from_bytes(wav_bytes) np.testing.assert_array_equal(samples, self.wav_samples) self.assertEqual(sample_rate_hz, 44100) class MockReader(object): def __init__(self, read_fun): self.read = read_fun class MockWriter(object): def __init__(self, write_fun): self.write = write_fun class WavIoTest(unittest.TestCase): def assert_equal_same_dtype(self, x, y): """Asserts that arrays x and y have equal elements and same dtype.""" self.assertEqual(x.dtype, y.dtype) np.testing.assert_array_equal(x, y) def test_read_24_bit_wav(self): """Read a 48kHz mono WAV file with 24-bit samples.""" np.random.seed(0) expected = np.random.randint(-2**23, 2**23 - 1, size=(20, 3)) * 256 wav_bytes = make_24_bit_wav(expected, 44100) samples, sample_rate_hz = dsp.read_wav_from_bytes(wav_bytes) self.assertEqual(samples.dtype, np.int32) np.testing.assert_array_equal(samples, expected) self.assertEqual(sample_rate_hz, 44100) # Read with conversion to float32. samples, _ = dsp.read_wav_from_bytes(wav_bytes, dtype=np.float32) self.assert_equal_same_dtype( samples, expected.astype(np.float32) / 2.0**31) def test_read_float_wav(self): """Read a 48kHz mono WAV file with 32-bit float samples.""" np.random.seed(0) expected = np.random.randn(15, 4).astype(np.float32) wav_bytes = make_float_wav(expected, 48000) samples, sample_rate_hz = dsp.read_wav_from_bytes(wav_bytes) self.assertEqual(samples.dtype, np.float32) np.testing.assert_array_equal(samples, expected) self.assertEqual(sample_rate_hz, 48000) def test_read_16_bit_wav_with_dtype(self): """Test reading a 16-bit WAV with conversion to specified dtype.""" samples = np.expand_dims( [0, 1, 2, -5, 25000, 32767, -32768], axis=1).astype(np.int16) wav_bytes = dsp.write_wav_to_bytes(samples, 8000) # int16 -> int16. out, _ = dsp.read_wav_from_bytes(wav_bytes, dtype=np.int16) self.assert_equal_same_dtype(out, samples) # int16 -> int32. out, _ = dsp.read_wav_from_bytes(wav_bytes, dtype=np.int32) self.assert_equal_same_dtype(out, samples.astype(np.int32) * 2**16) # int16 -> float32. out, _ = dsp.read_wav_from_bytes(wav_bytes, dtype=np.float32) self.assert_equal_same_dtype(out, samples.astype(np.float32) / 2.0**15) def test_read_24_bit_wav_with_dtype(self): """Test reading a 24-bit WAV with conversion to specified dtype.""" samples = 256 * np.expand_dims( [1, -1500000, 2**23 - 1, -2**23], axis=1).astype(np.int32) wav_bytes = make_24_bit_wav(samples, 8000) # int32 -> int16. out, _ = dsp.read_wav_from_bytes(wav_bytes, dtype=np.int16) self.assert_equal_same_dtype( out, np.expand_dims([0, -5859, 32767, -32768], axis=1).astype(np.int16)) # int32 -> int32. out, _ = dsp.read_wav_from_bytes(wav_bytes, dtype=np.int32) self.assert_equal_same_dtype(out, samples) # int32 -> float32. out, _ = dsp.read_wav_from_bytes(wav_bytes, dtype=np.float32) self.assert_equal_same_dtype(out, samples.astype(np.float32) / 2.0**31) def test_read_float_wav_with_dtype(self): """Test reading a float WAV with conversion to specified dtype.""" samples = np.expand_dims( [0.0, 1e-6, -1e-4, 0.1, -0.5, 1.0, -1.0, np.inf, -np.inf, np.nan], axis=1).astype(np.float32) wav_bytes = make_float_wav(samples, 8000) # float32 -> int16. out, _ = dsp.read_wav_from_bytes(wav_bytes, dtype=np.int16) self.assert_equal_same_dtype( out, np.expand_dims([0, 0, -3, 3277, -16384, 32767, -32768, 32767, -32768, 0], axis=1).astype(np.int16)) # float32 -> int32. out, _ = dsp.read_wav_from_bytes(wav_bytes, dtype=np.int32) self.assert_equal_same_dtype( out, np.expand_dims([ 0, 2147, -214748, 214748368, -1073741824, 2147483647, -2147483648, 2147483647, -2147483648, 0], axis=1).astype(np.int32)) # float32 -> float32. out, _ = dsp.read_wav_from_bytes(wav_bytes, dtype=np.float32) self.assert_equal_same_dtype(out, samples) def test_write_wav_1d_array(self): """Test writing a 1D array as a mono WAV file.""" samples = np.arange(20, dtype=np.int16) recovered, sample_rate_hz = dsp.read_wav_from_bytes( dsp.write_wav_to_bytes(samples, 8000)) np.testing.assert_array_equal(recovered, samples.reshape(-1, 1)) self.assertEqual(sample_rate_hz, 8000) def test_read_wav_bad_arg(self): """Call where the argument is not a file-like object.""" class Nonsense(object): pass with self.assertRaisesRegex(TypeError, 'Nonsense found'): dsp.read_wav_file(Nonsense()) def test_read_wav_read_not_callable(self): """Test where the read attribute is not callable.""" reader = MockReader(None) with self.assertRaisesRegex(TypeError, 'not callable'): dsp.read_wav_file(reader) def test_read_wav_reader_raises_exception(self): """Test where the file object read method raises an exception.""" def _failing_read(unused_size): raise OSError('read method failed') reader = MockReader(_failing_read) with self.assertRaisesRegex(OSError, 'read method failed'): dsp.read_wav_file(reader) def test_read_wav_reader_returns_wrong_type(self): """Test where the read method returns the wrong type.""" reader = MockReader(lambda size: [0] * size) with self.assertRaisesRegex(TypeError, 'list found'): dsp.read_wav_file(reader) def test_read_wav_reader_result_too_large(self): """Test where the read method returns more than requested.""" reader = MockReader(lambda size: b'\000' * (size + 1)) with self.assertRaisesRegex(ValueError, 'exceeds requested size'): dsp.read_wav_file(reader) def test_read_wav_bad_dtype(self): """Test where WAV fact chunk is corrupt.""" with self.assertRaisesRegex(ValueError, 'dtype must be one of'): dsp.read_wav_from_bytes(b'RIFF', dtype=np.uint8) def test_read_wav_bad_fact_chunk(self): """Test where WAV fact chunk is corrupt.""" with self.assertRaisesRegex(OSError, 'error reading WAV header'): dsp.read_wav_from_bytes(b'RIFF_\000\000\000WAVEfactbusted') def test_write_wav_bad_arg(self): """write_wav_file where the argument is not a file-like object.""" class Nonsense(object): pass with self.assertRaisesRegex(TypeError, 'Nonsense found'): dsp.write_wav_file(Nonsense(), np.zeros((10, 1), dtype=np.int16), 8000) def test_write_wav_wrong_dtype(self): """write_wav_file where samples can't safely cast to np.int16 dtype.""" samples = np.array([-0.2, 0.5, 0.7, 0.3, 0.1]) with self.assertRaisesRegex(TypeError, 'Cannot cast array data'): dsp.write_wav_to_bytes(samples, 8000) def test_write_wav_write_not_callable(self): """write_wav_file where the write attribute is not callable.""" writer = MockWriter(None) with self.assertRaisesRegex(TypeError, 'not callable'): dsp.write_wav_file(writer, np.zeros((10, 1), dtype=np.int16), 8000) def test_write_wav_writer_raises_exception(self): """write_wav_file where the file object write method raises an exception.""" def _failing_write(unused_bytes): raise OSError('write method failed') writer = MockWriter(_failing_write) with self.assertRaisesRegex(OSError, 'write method failed'): dsp.write_wav_file(writer, np.zeros((10, 1), dtype=np.int16), 8000) if __name__ == '__main__': unittest.main()
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getreuer@google.com
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#!/usr/bin/env python """ a script for getting materials from the Chronicling America website """ # Make these modules available import requests import json __author__ = "your-name" # Create a variable called 'api_search_url' and give it a value api_search_url = 'https://chroniclingamerica.loc.gov/search/pages/results/' # This creates a dictionary called 'params' and sets values for the API's mandatory parameters params = { 'proxtext': 'archeology' # Search for this keyword } # This adds a value for 'encoding' to our dictionary params['format'] = 'json' # This sends our request to the API and stores the result in a variable called 'response' response = requests.get(api_search_url, params=params) # This shows us the url that's sent to the API print('Here\'s the formatted url that gets sent to the ChronAmerca API:\n{}\n'.format(response.url)) # This checks the status code of the response to make sure there were no errors if response.status_code == requests.codes.ok: print('All ok') elif response.status_code == 403: print('There was an authentication error. Did you paste your API above?') else: print('There was a problem. Error code: {}'.format(response.status_code)) # Get the API's JSON results and make them available as a Python variable called 'data' data = response.json() # Let's prettify the raw JSON data and then display it. # We're using the Pygments library to add some colour to the output, so we need to import it from pygments import highlight, lexers, formatters # This uses Python's JSON module to output the results as nicely indented text formatted_data = json.dumps(data, indent=2) # This colours the text highlighted_data = highlight(formatted_data, lexers.JsonLexer(), formatters.TerminalFormatter()) # And now display the results print(highlighted_data) # dump json to file with open('data.json', 'w') as outfile: json.dump(data, outfile)
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/src/spark/spark_velocity_smoother/test/test_translational_input.py
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#!/usr/bin/env python import roslib roslib.load_manifest('spark_velocity_smoother') import rospy import os import sys import time from geometry_msgs.msg import Twist from nav_msgs.msg import Odometry ''' Varied translational input for a velocity smoother test. ''' STATE_RAMP_UP = 0 STATE_RAMP_LEVEL = 1 STATE_RAMP_DOWN = 2 STATE_ZERO = 3 STATE_UP = 4 STATE_DOWN = 5 STATE_UP_AGAIN = 6 STATE_NOTHING = 7 def main(): rospy.init_node("test_velocity_smoother_input") cmd_vel_publisher = rospy.Publisher("~cmd_vel", Twist) odom_publisher = rospy.Publisher("~odom", Odometry) param = {} param['velocity_maximum'] = rospy.get_param("~velocity_maximum", 0.50) param['ramp_increment'] = rospy.get_param("~ramp_increment", 0.02) rospy.loginfo("Test Input : ramp increment [%f]",param['ramp_increment']) param['ramp_decrement'] = rospy.get_param("~ramp_decrement", 0.02) rospy.loginfo("Test Input : ramp decrement [%f]",param['ramp_decrement']) cmd_vel = Twist() cmd_vel.linear.x = 0 cmd_vel.linear.y = 0 cmd_vel.linear.z = 0 cmd_vel.angular.x = 0 cmd_vel.angular.y = 0 cmd_vel.angular.z = 0 odom = Odometry() odom.header.frame_id = "base_link" odom.pose.pose.position.x = 0.0 odom.pose.pose.position.y = 0.0 odom.pose.pose.position.z = 0.0 odom.pose.pose.orientation.x = 0.0 odom.pose.pose.orientation.y = 0.0 odom.pose.pose.orientation.z = 0.0 odom.pose.pose.orientation.w = 1.0 odom.pose.covariance[0] = 0.1 odom.pose.covariance[7] = 0.1 odom.pose.covariance[35] = 0.2 odom.pose.covariance[14] = 10.0 odom.pose.covariance[21] = 10.0 odom.pose.covariance[28] = 10.0 odom.twist.twist.linear.x = 0.0 odom.twist.twist.linear.y = 0.0 odom.twist.twist.linear.z = 0.0 odom.twist.twist.angular.x = 0.0 odom.twist.twist.angular.y = 0.0 odom.twist.twist.angular.z = 0.0 state = STATE_RAMP_UP count = 0 count_max = 100 publish = True #period = 0.01 timer = rospy.Rate(100) # 10hz rospy.loginfo("Test Input : STATE_RAMP_UP") while not rospy.is_shutdown(): if state == STATE_RAMP_UP: cmd_vel.linear.x = cmd_vel.linear.x + param['ramp_increment'] if cmd_vel.linear.x >= param['velocity_maximum']: state = STATE_RAMP_LEVEL count = 0 rospy.loginfo("Test Input : STATE_RAMP_UP -> STATE_RAMP_LEVEL") elif state == STATE_RAMP_LEVEL: if count > count_max: # 0.5s state = STATE_RAMP_DOWN count = 0 rospy.loginfo("Test Input : STATE_RAMP_LEVEL -> STATE_RAMP_DOWN") else: count = count + 1 elif state == STATE_RAMP_DOWN: cmd_vel.linear.x = cmd_vel.linear.x - param['ramp_decrement'] if cmd_vel.linear.x <= 0.0: cmd_vel.linear.x = 0.0 state = STATE_ZERO count = 0 rospy.loginfo("Test Input : STATE_RAMP_DOWN -> STATE_ZERO") elif state == STATE_ZERO: if count > count_max: # 0.5s state = STATE_UP cmd_vel.linear.x = param['velocity_maximum'] count = 0 rospy.loginfo("Test Input : STATE_ZERO -> STATE_UP") else: count = count + 1 elif state == STATE_UP: if count > count_max: # 0.5s state = STATE_DOWN cmd_vel.linear.x = 0.0 count = 0 rospy.loginfo("Test Input : STATE_UP -> STATE_DOWN") else: count = count + 1 elif state == STATE_DOWN: if count > count_max: # 0.5s #state = STATE_UP_AGAIN #cmd_vel.linear.x = param['velocity_maximum'] #rospy.loginfo("Test Input : STATE_DOWN -> STATE_UP_AGAIN") state = STATE_RAMP_UP cmd_vel.linear.x = 0.0 rospy.loginfo("Test Input : STATE_DOWN -> STATE_RAMP_UP") count = 0 else: count = count + 1 elif state == STATE_UP_AGAIN: if count > count_max: # 0.5s state = STATE_NOTHING count = 0 publish = False rospy.loginfo("Test Input : STATE_UP_AGAIN -> STATE_NOTHING") else: count = count + 1 elif state == STATE_NOTHING: if count > count_max: # 0.5s state = STATE_RAMP_UP cmd_vel.linear.x = 0.0 count = 0 publish = True rospy.loginfo("Test Input : STATE_NOTHING -> STATE_RAMP_UP") else: count = count + 1 if publish: odom.twist.twist.linear.x = cmd_vel.linear.x cmd_vel_publisher.publish(cmd_vel) else: # How to fake it when it's not publishing a cmd velocity? Up to the velocity controller there odom.twist.twist.linear.x = cmd_vel.linear.x odom.header.stamp = rospy.Time().now() odom_publisher.publish(odom) timer.sleep() if __name__ == "__main__": main()
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import random from SimpleSimulation import ActionType, Simulation import Utils class NaturalNumbersIterator(): def __iter__(self): self.a = 0 return self def __next__(self): x = self.a self.a += 1 return x class MontecarloPlayer(): def __init__(self, originalSimulation, selectionFunction, expansionFunction, retropropagationFunction, simulationFunction, movementChoiceFunction): self.idsNodes = iter(NaturalNumbersIterator()) self.originalSimulation = Utils.copySimulation(originalSimulation) self.actionTree = Node(None, [], None, Utils.copySimulation(self.originalSimulation), 0, 0) self.actionTreeDepth = 0 self.initTreeNodes() self.selectionFunction = selectionFunction self.expansionFunction = expansionFunction self.simulationFunction = simulationFunction self.retropropagationFunction = retropropagationFunction self.movementChoiceFunction = movementChoiceFunction def initTreeNodes(self): self.expand_node(self.actionTree) def getChildById(self, idChild): for child in self.actionTree.childs: if child.id == idChild: return child return None def getChildById(self, idChild, parent): for child in parent.childs: if child.id == idChild: return child return None def exploreActionTree(self, epochs = 1000, log=True): for epoch in range(epochs): if log and epoch % 100 == 0: print(epoch) actionNode = self.selectionFunction(self.actionTree) if (self.expansionFunction(actionNode)): self.expand_node(actionNode) actionNode = self.selectionFunction(actionNode) simulationFinished = self.simulationFunction(actionNode) self.retropropagationFunction(self.originalSimulation, simulationFinished, actionNode) del simulationFinished def getBestMove(self): bestMove = self.movementChoiceFunction(self.actionTree) return bestMove def setActionTreeDepth(self, level): if level > self.actionTreeDepth: self.actionTreeDepth = level def getBestMoveSequence(self): moveSequence = [] node = self.actionTree while node.hasChilds(): bestChild = self.movementChoiceFunction(node) moveSequence.append(bestChild) node = bestChild return moveSequence # FUNCION DE EXPANSION def expand_node(self, actionNode): newLevel = actionNode.level + 1 blocking_degree_action_dict = self.get_actions_child_ordered_by_value(actionNode) if not actionNode.hasChilds() and len(blocking_degree_action_dict) > 0: #FORZAR EXTRACT best_actions = blocking_degree_action_dict.get(min(blocking_degree_action_dict)) #keys_dict = list(blocking_degree_action_dict.keys()) #keys_dict.sort() #best_actions = blocking_degree_action_dict.get(keys_dict[0]) #second_best_actions = blocking_degree_action_dict.get(keys_dict[1]) len_best_actions = len(best_actions) # percentage = 0.5 # quantity = int(percentage * len_best_actions) # quantity = quantity if quantity > 0 else 1 # quantity = 8 if len_best_actions > 8 else len_best_actions # choices = random.sample(blocking_degree_action_dict.get(min(blocking_degree_action_dict)), k=quantity) choices = best_actions for action in choices: _simulation = Utils.copySimulation(actionNode.simulationCopy) _simulation.run_one_epoch(action) actionNode.childs.append(Node(actionNode, [], action, _simulation, self.idsNodes.__next__(), newLevel)) self.setActionTreeDepth(newLevel) def get_actions_child_ordered_by_value(self, actionNode): newLevel = actionNode.level + 1 simulationCopy = Utils.copySimulation(actionNode.simulationCopy) posibleActions = simulationCopy.get_possible_actions() blocking_degree_action_dict = {} blocking_degree_init = simulationCopy.blocking_degree crane_position_init = simulationCopy.crane_position for action in posibleActions: if action.type == ActionType.EXTRACT or action.type == ActionType.END: _simulation = Utils.copySimulation(actionNode.simulationCopy) _simulation.run_one_epoch(action) actionNode.childs.append(Node(actionNode, [], action, _simulation, self.idsNodes.__next__(), newLevel)) else: time_init = simulationCopy.time is_action_valid = simulationCopy.run_one_epoch(action) if is_action_valid: time_finish = simulationCopy.time blocking_degree_finish = simulationCopy.blocking_degree time_total = time_finish - time_init blocking_degree_total = blocking_degree_finish - blocking_degree_init key = blocking_degree_total / time_total if key in blocking_degree_action_dict: blocking_degree_action_dict.get(key).append(action) else: blocking_degree_action_dict[key] = [action] simulationCopy.execute_inverse_move(action) simulationCopy.crane_position = crane_position_init return blocking_degree_action_dict #FIN FUNCION DE EXPANSION class Node(): def __init__(self, parent, childs, action, simulationCopy, idNode, level): self.parent = parent #Node self.childs = childs #Node[] self.action = action # Accion realizada para llegar al estado representado en simulationCopy self.simulationCopy = simulationCopy # Estado de la simulacion con la action ya realizada self.visits = 0 self.value = 0 self.id = idNode self.level = level def __str__(self): return "Id: " + str(self.id) + " - " + "visits: " + str(self.visits) + " - " + "value: " + str(self.value) def hasChilds(self): return self.childs != None and len(self.childs) > 0 def getChildsWithoutVisits(self): childsWithoutLove = [] for child in self.childs: if child.visits == 0: childsWithoutLove.append(child) return childsWithoutLove def hasParent(self): return self.parent != None
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facuserna93@gmail.com
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import numpy as np import pandas as pd def hotEncode(data: pd.core.frame.DataFrame, encodeCol: str) -> pd.core.frame.DataFrame : return pd.concat(data, pd.get_dummies(data[encodeCol], prefix = encodeCol, prefix_sep = '_',dummy_na=False)).drop([encodeCol], axis=1) def better_read_csv(data: pd.core.frame.DataFrame, encodeCol: list, dropNa: bool = 0,indexStart: bool = 0) -> pd.core.frame.DataFrame : data = data.dropna(inplace=True) if dropNa else data return data print(type(pd.read_csv('titanic.csv')))
[ "punn_namw@hotmail.com" ]
punn_namw@hotmail.com
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/todo_dao.py
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[]
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from flask import json # import code def get_todos(cursor): cursor.execute('''SELECT task FROM todos''') result = cursor.fetchall() result_list = list(sum(result, ())) return json.dumps({'todos': str(result_list)}) def create_todo(mysql, cursor, request_json): req_json = json.dumps(request_json) req_json_dict = json.loads(req_json) # code.interact(local=dict(globals(), **locals())) cursor.execute("INSERT INTO todos (task) VALUES (%s)", [str(req_json_dict['todo'])]) cursor.execute('''SELECT task FROM todos''') result = cursor.fetchall() result_list = list(sum(result, ())) mysql.connection.commit() return json.dumps({'todos': str(result_list)}) def get_todo(cursor, todo_id): cursor.execute("SELECT task FROM todos Where id = %s", [todo_id]) result = cursor.fetchall() result_list = list(sum(result, ())) return json.dumps({'todo': str(result_list[0])}) def update_todo(mysql, cursor, todo_id, request_json): req_json = json.dumps(request_json) req_json_dict = json.loads(req_json) cursor.execute("UPDATE todos SET task = %s WHERE id = %s", [str(req_json_dict['todo']), todo_id]) cursor.execute("SELECT task FROM todos Where id = %s", todo_id) result = cursor.fetchall() result_list = list(sum(result, ())) mysql.connection.commit() return json.dumps({'todo': str(result_list)}) def delete_todo(mysql, cursor, todo_id): cursor.execute("DELETE FROM todos WHERE id = %s", [todo_id]) cursor.execute("SELECT task FROM todos") result = cursor.fetchall() result_list = list(sum(result, ())) mysql.connection.commit() return json.dumps({'todos': str(result_list)})
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import logging from collections import deque from datetime import datetime from elasticsearch import Elasticsearch from elasticsearch import helpers class ElasticsearchReporter(object): """ Reporter for elasticsearch """ def __init__(self, es_host, es_index, es_type): """ :param es_host: Elasticsearch host :param es_index: Elasticsearch index :param es_type: Elasticsearch type """ self.logger = logging.getLogger(__name__) self.es = Elasticsearch(hosts=[es_host]) self.logger.debug("Connected to Elasticsearch host %s", es_host) self.es_index = es_index self.es_type = es_type self.es_host = es_host def report(self, jobs): """ Index jobs to Elasticsearch :param jobs: List of jobs """ def generate_actions(all_jobs): for job in all_jobs: yield { "_index": "%s-%s" % (self.es_index, datetime.fromtimestamp(job["finishTime"] / 1000).strftime("%Y-%m-%d")), "_type": self.es_type, "_id": job["id"], "_source": job, } deque(helpers.parallel_bulk(client=self.es, actions=generate_actions(jobs)), maxlen=0) def get_latest_finish_time(self, cluster_name): """ Get latest finish time for a cluster from Elasticsearch :param cluster_name: Name of cluster :return: latest finish time for the cluster """ agg_name = 'maxFinishTime' query = { '_source': False, 'query': {'bool': {'must': [ {'match': {'_type': self.es_type}}, {'match': {'cluster': cluster_name}} ]}}, 'aggs': {agg_name: {'max': {'field': 'finishTime'}}}, 'size': 0} search_results = self.es.search(index=self.es_index, body=query, filter_path=["aggregations.%s.value" % agg_name]) agg_value = search_results["aggregations"][agg_name]["value"] max_finish_time = "%d" % (0 if agg_value is None else agg_value) self.logger.debug("Got max finish time %s for cluster %s", max_finish_time, cluster_name) return max_finish_time
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from django.contrib.auth.models import User, Group from django_eveonline_connector.models import EveScope, EveClient from django.dispatch import receiver from django.db.models.signals import post_delete, post_save from django.db import transaction from django.core.exceptions import PermissionDenied import logging logger = logging.getLogger(__name__) @receiver(post_save, sender=EveScope) def scope_save(sender, **kwargs): def call(): EveClient.get_instance().save() transaction.on_commit(call) @receiver(post_delete, sender=EveScope) def scope_delete(sender, **kwargs): def call(): EveClient.get_instance().save() transaction.on_commit(call)
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#!/home/stone/Documents/Development/drone_backend/venv/bin/python2 # # The Python Imaging Library # $Id$ # from __future__ import print_function try: from tkinter import Tk, Label except ImportError: from Tkinter import Tk, Label from PIL import Image, ImageTk # # an image viewer class UI(Label): def __init__(self, master, im): if im.mode == "1": # bitmap image self.image = ImageTk.BitmapImage(im, foreground="white") Label.__init__(self, master, image=self.image, bg="black", bd=0) else: # photo image self.image = ImageTk.PhotoImage(im) Label.__init__(self, master, image=self.image, bd=0) # # script interface if __name__ == "__main__": import sys if not sys.argv[1:]: print("Syntax: python viewer.py imagefile") sys.exit(1) filename = sys.argv[1] root = Tk() root.title(filename) im = Image.open(filename) UI(root, im).pack() root.mainloop()
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generalms@hotmail.com
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# True 執行 while # 每執行迴圈一次 就判斷一次 是否進入下一迴圈 # 需要進行迴圈的句子 line: 8 # 需要結束迴圈的條件 line: 6 i = 1 while i <= 5: print(i) i += 1 # 相當於 i = i + 1 # print("迴圈結束")
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"""lecture5 URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/1.10/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.conf.urls import url, include 2. Add a URL to urlpatterns: url(r'^blog/', include('blog.urls')) """ from django.conf.urls import include, url from django.contrib import admin urlpatterns = [ url(r'^$',include('helloworld.urls')), url(r'^admin/', admin.site.urls), ]
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from calcFunctions import factorial, decToBin, binToDec, decToRoman numPadList = [ '7', '8', '9', '4', '5', '6', '1', '2', '3', '0', '.', '=', ] operatorList = [ '*', '/', '+', '-', '(', ')', 'C', ] constantDics = { 'pi' : '3.141592', '빛의 이동 속도 (m/s)' : '3E+8', '소리의 이동 속도 (m/s)' : '340', '태양과의 평균 거리 (km)' : '1.5E+8', } functionDics = { 'factorial (!)' : factorial, '-> binary' : decToBin, 'binary -> dec' : binToDec, '-> roman' : decToRoman, }
[ "the_basic_@kookmin.ac.kr" ]
the_basic_@kookmin.ac.kr
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akabbeke/sd44_server
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from app.db import User, UserSession, Deck, GameSession, UserGame try: UserGame.__table__.drop() except: pass try: GameSession.__table__.drop() except: pass try: UserSession.__table__.drop() except: pass try: Deck.__table__.drop() except: pass try: User.__table__.drop() except: pass
[ "adam.kabbeke@shopify.com" ]
adam.kabbeke@shopify.com
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/twitter_setting/main.py
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[]
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pram11/twittbot_neko
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refs/heads/master
2021-03-12T22:45:06.099068
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#this is a main file #Date: 2015.07.29 #functions def auth_checker(): try: f=open('/home/auth_data.txt') except: return "False" f.close() return "True" def authfile_gen(): f=open('/home/auth_data.txt','w') print("계정명을 입력하세요") twitter_id=input() f.write('twitter_acount:') f.write(twitter_id) #initializing program #check this variable before checking twitter auth needed check_auth = auth_checker() if check_auth=="False": print ("auth file don't exist.generate file." ) authfile_gen() else: print("file exists")
[ "root@pramserver.(none)" ]
root@pramserver.(none)
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borgel/homesensors
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''' assume that boot.py has connected us to the network already. ''' import time import json import sys import aqi #import requests or urequests try: print("On target") import urequests as requests from machine import Pin import machine # init i2c for the servo controller i2c = machine.I2C(scl=machine.Pin(5), sda=machine.Pin(4)) import pca9685 import servo except ImportError: print("On host?") import requests SENSOR_URL = "https://www.purpleair.com/json?show=19855" LOOP_DELAY_S = 2 * 60 s = servo.Servos(i2c) # we don't need the soft AP ap_if = network.WLAN(network.AP_IF) ap_if.active(False) # onboard LED. on/off reversed led = Pin(2, Pin.OUT) while True: # if the network connection is down, reboot and let the boot.py try to reconnect us if not sta_if.isconnected(): print("Not connected to network, rebooting") time.sleep(0.5) machine.reset() led.value(not led.value()) gc.collect() # FIXME rm print("Top..."); sensor_raw = requests.get(SENSOR_URL) if sensor_raw.status_code != 200: print("Failed to get sensor value: code {}".format(sensor_raw.status_code)) time.sleep(LOOP_DELAY_S) continue sensor = sensor_raw.json() print(sensor) # get the current stats object (for some reason it's a JSON object embedded in a string) stats = json.loads(sensor['results'][0]['Stats']) # the 10 minute average (the shortest non-instant reading) avg = aqi.aqi_from_pm(stats['v1']) # make it something we can servo, assuming our max range goes up to 200 counts percentage = avg / 200.0 deg = 180 - (percentage * 180.0) print("Currently {}% badness ({} degrees)".format(100 * percentage, deg)) # now, do a servo! s.position(0, degrees=deg) time.sleep(LOOP_DELAY_S)
[ "iborgel@gmail.com" ]
iborgel@gmail.com
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dgobbi/VTK
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2021-01-04T22:27:46.611907
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#!/usr/bin/env python import vtk from vtk.test import Testing from vtk.util.misc import vtkGetDataRoot VTK_DATA_ROOT = vtkGetDataRoot() # Now create the RenderWindow, Renderer and Interactor # ren1 = vtk.vtkRenderer() renWin = vtk.vtkRenderWindow() renWin.AddRenderer(ren1) iren = vtk.vtkRenderWindowInteractor() iren.SetRenderWindow(renWin) math = vtk.vtkMath() numberOfInputPoints = 30 aSplineX = vtk.vtkCardinalSpline() aSplineY = vtk.vtkCardinalSpline() aSplineZ = vtk.vtkCardinalSpline() # generate random points inputPoints = vtk.vtkPoints() i = 0 while i < numberOfInputPoints: x = math.Random(0,1) y = math.Random(0,1) z = math.Random(0,1) aSplineX.AddPoint(i,x) aSplineY.AddPoint(i,y) aSplineZ.AddPoint(i,z) inputPoints.InsertPoint(i,x,y,z) i = i + 1 inputData = vtk.vtkPolyData() inputData.SetPoints(inputPoints) balls = vtk.vtkSphereSource() balls.SetRadius(.01) balls.SetPhiResolution(10) balls.SetThetaResolution(10) glyphPoints = vtk.vtkGlyph3D() glyphPoints.SetInputData(inputData) glyphPoints.SetSourceConnection(balls.GetOutputPort()) glyphMapper = vtk.vtkPolyDataMapper() glyphMapper.SetInputConnection(glyphPoints.GetOutputPort()) glyph = vtk.vtkActor() glyph.SetMapper(glyphMapper) glyph.GetProperty().SetDiffuseColor(1,0.4,0.4) glyph.GetProperty().SetSpecular(.3) glyph.GetProperty().SetSpecularPower(30) ren1.AddActor(glyph) # create a polyline points = vtk.vtkPoints() profileData = vtk.vtkPolyData() numberOfOutputPoints = 400 offset = 1.0 def fit (__vtk__temp0=0,__vtk__temp1=0): global numberOfInputPoints, numberOfOutputPoints, offset points.Reset() i = 0 while i < numberOfOutputPoints: t = expr.expr(globals(), locals(),["(","numberOfInputPoints","-","offset",")","/","(","numberOfOutputPoints","-","1",")","*","i"]) points.InsertPoint(i,aSplineX.Evaluate(t),aSplineY.Evaluate(t),aSplineZ.Evaluate(t)) i = i + 1 profileData.Modified() fit() lines = vtk.vtkCellArray() lines.InsertNextCell(numberOfOutputPoints) i = 0 while i < numberOfOutputPoints: lines.InsertCellPoint(i) i = i + 1 profileData.SetPoints(points) profileData.SetLines(lines) profileTubes = vtk.vtkTubeFilter() profileTubes.SetNumberOfSides(8) profileTubes.SetInputData(profileData) profileTubes.SetRadius(.005) profileMapper = vtk.vtkPolyDataMapper() profileMapper.SetInputConnection(profileTubes.GetOutputPort()) profile = vtk.vtkActor() profile.SetMapper(profileMapper) profile.GetProperty().SetDiffuseColor(1,1,0.6) profile.GetProperty().SetSpecular(.3) profile.GetProperty().SetSpecularPower(30) ren1.AddActor(profile) ren1.ResetCamera() ren1.GetActiveCamera().Dolly(1.5) ren1.ResetCameraClippingRange() renWin.SetSize(400,400) # render the image # iren.Initialize() def opened (__vtk__temp0=0,__vtk__temp1=0): global offset offset = 1.0 aSplineX.ClosedOff() aSplineY.ClosedOff() aSplineZ.ClosedOff() fit() renWin.Render() def varyLeft (__vtk__temp0=0,__vtk__temp1=0): left = -1 while left <= 1: aSplineX.SetLeftValue(left) aSplineY.SetLeftValue(left) aSplineZ.SetLeftValue(left) fit() renWin.Render() left = expr.expr(globals(), locals(),["left","+",".05"]) def varyRight (__vtk__temp0=0,__vtk__temp1=0): right = -1 while right <= 1: aSplineX.SetRightValue(right) aSplineY.SetRightValue(right) aSplineZ.SetRightValue(right) fit() renWin.Render() right = expr.expr(globals(), locals(),["right","+",".05"]) def constraint (value,__vtk__temp0=0,__vtk__temp1=0): aSplineX.SetLeftConstraint(value) aSplineY.SetLeftConstraint(value) aSplineZ.SetLeftConstraint(value) aSplineX.SetRightConstraint(value) aSplineY.SetRightConstraint(value) aSplineZ.SetRightConstraint(value) def closed (__vtk__temp0=0,__vtk__temp1=0): global offset offset = 0.0 aSplineX.ClosedOn() aSplineY.ClosedOn() aSplineZ.ClosedOn() fit() renWin.Render() # prevent the tk window from showing up then start the event loop # --- end of script --
[ "nikhil.shetty@kitware.com" ]
nikhil.shetty@kitware.com
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/stream.py
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[]
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hahakid/DJI_FPV_detector
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2023-07-03T09:11:18.885649
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from lib.usb_dev import USBDev from lib.fifo_writer import FIFOWriter import time from utils.yaml_wrapper import YamlHandler StatusInterval = 0.5 headset = USBDev() headset.startDevCheckThread() fifo = FIFOWriter() fifo.Open() # State globals: BytesWritten = 0 LastStatus = 0 StatusData = dict() StatusData['Msg'] = "Starting Up" ############################################################################### def PrintStatus(update): """Update the program status""" global LastStatus now = time.time() if (now - LastStatus) < StatusInterval: return print(update['Msg'] + " ", end='\r') LastStatus = now def main(opts): flag = True time_sleep = opts['time_sleep'] global BytesWritten while True: PrintStatus(StatusData) # print(StatusData) # just run at first epoch if headset.DevicePresent != False: data = headset.RecvData() else: # print("Waiting on headset...") StatusData['Msg'] = "Waiting on headset..." # If we are waiting on a headset and data has been written, everything needs to be reset: if BytesWritten: BytesWritten = 0 fifo.Reset() # No sense being speedy on the loop when we are waiting on a human time.sleep(time_sleep) continue if data != None: out = fifo.Write(data) ''' if flag: print('out2file ...') flag=False else: print('out2file .....') flag = True ''' else: # print("RecvData() returned None: {}".format(headset.LastError.strerror)) StatusData['Msg'] = "Device State: " + headset.DeviceStatus continue if out: BytesWritten += out StatusData['Total'] = BytesWritten #print('byte2out') else: # print("Pausing fifo, no readers...") StatusData['Msg'] = "Output buffer full, pausing fifo..." time.sleep(time_sleep) continue # print("In write loop, error: " + str(fifo.LastError) + ", total bytes written: " + str(BytesWritten)) StatusData['Msg'] = "Device State: " + headset.DeviceStatus # time.sleep(.5) # exit() if __name__ == '__main__': opts = YamlHandler('./options/settings.yaml').read_yaml() main(opts)
[ "noreply@github.com" ]
noreply@github.com
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/v8_llevatelo/report_odoo_extended/report_valorizado.py
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[]
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odoopruebasmp/Odoo_08
915d08bd3ac6321e43fce56a3a32ad9095d8602a
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refs/heads/master
2023-06-26T18:14:27.576001
2021-08-03T15:53:04
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# -*- coding: utf-8 -*- from datetime import datetime, timedelta import xlsxwriter from openerp import models, fields, api import openerp.addons.decimal_precision as dp from openerp.http import request from openerp.addons.avancys_orm import avancys_orm from openerp.tools import DEFAULT_SERVER_DATETIME_FORMAT class ValueLineReport(models.Model): _name = 'value.line.report' product_id = fields.Many2one('product.product', string='Producto ID') product_name = fields.Char(string='Producto') default_code = fields.Char(string='Referencia') location_name = fields.Char(string='Ubicación') qty = fields.Float(string='Cantidad') cost = fields.Float(string='Costo') total_cost = fields.Float(string='Costo Total') class ValueReportWizard(models.TransientModel): _name = 'value.report.wizard' date_end = fields.Datetime(string='Fecha Final', required=True, default=datetime.now()) product_ids = fields.Many2many('product.product', string='Productos') print_report = fields.Selection([('print', 'Excel'), ('analizar', 'Pantalla')], string='Visualizacion', required=True, default='print') title = fields.Char(string='titulos', default='PRODUCTO ID, PRODUCTO, REFERENCIA, UBICACION,' 'SALDO FINAL, COSTO UNITARIO, COSTO FINAL') product_ids = fields.Many2many('product.product', string='Productos') location_ids = fields.Many2many('stock.location', string='Ubicaciones') @api.multi def compute_value_report(self): cr = self._cr date_end = self.date_end[:10] query_product = '' if self.product_ids: if len(self.product_ids) > 1: query_product = 'and stock_move.product_id in {ids}'.format(ids=tuple(self.product_ids.ids)) else: query_product = 'and stock_move.product_id = {id}'.format(id=self.product_ids.ids[0]) # CREAR TABLAS cr.execute(""" delete from value_line_report; drop table if exists prueba_cost; drop table if exists costo_tabla_dos; create table prueba_cost as ( ( select sum(product_qty) as cantidad, sum(total_cost) as total_cost, stock_move.product_id, sum(total_cost)/(case when sum(product_qty)=0 then 1 else sum(product_qty) end ) as costo, product_template.id from stock_move left join product_product on product_product.id=stock_move.product_id left join product_template on product_template.id=product_product.product_tmpl_id where ( ( select locat.usage from stock_location as locat where locat.id=stock_move.location_id )='supplier' ) and stock_move.date <= '{date_end}' and stock_move.state='done' and product_template.type = 'product' {query_product} group by stock_move.product_id,product_template.id order by stock_move.product_id ) union all ( select sum(product_qty) * -1 as cantidad, sum(total_cost) * -1 as total_cost, stock_move.product_id, sum(total_cost)/(case when sum(product_qty)=0 then 1 else sum(product_qty) end ) as costo, product_template.id from stock_move left join product_product on product_product.id=stock_move.product_id left join product_template on product_template.id=product_product.product_tmpl_id where ( ( select locat.usage from stock_location as locat where locat.id=stock_move.location_dest_id)='supplier' ) and stock_move.date <= '{date_end}' and stock_move.state='done' and product_template.type = 'product' {query_product} group by stock_move.product_id, product_template.id order by stock_move.product_id ) union all ( select sum(product_qty) * -1 as cantidad, sum(total_cost) * -1 as total_cost, stock_move.product_id, sum(total_cost)/(case when sum(product_qty)=0 then 1 else sum(product_qty) end ) as costo, product_template.id from stock_move left join product_product on product_product.id=stock_move.product_id left join product_template on product_template.id=product_product.product_tmpl_id where ( ( select locat.usage from stock_location as locat where locat.id=stock_move.location_dest_id)='customer' ) and stock_move.date <= '{date_end}' and stock_move.state='done' and product_template.type = 'product' {query_product} group by stock_move.product_id, product_template.id order by stock_move.product_id ) union all ( select sum(product_qty) as cantidad, sum(total_cost) as total_cost, stock_move.product_id, sum(total_cost)/(case when sum(product_qty)=0 then 1 else sum(product_qty) end ) as costo, product_template.id from stock_move left join product_product on product_product.id=stock_move.product_id left join product_template on product_template.id=product_product.product_tmpl_id where ( ( select locat.usage from stock_location as locat where locat.id=stock_move.location_id )='customer' ) and stock_move.date <= '{date_end}' and stock_move.state='done' and product_template.type = 'product' {query_product} group by stock_move.product_id, product_template.id order by stock_move.product_id ) union all ( select sum(product_qty) as cantidad, sum(total_cost) as total_cost, stock_move.product_id, sum(total_cost)/(case when sum(product_qty)=0 then 1 else sum(product_qty) end ) as costo, product_template.id from stock_move left join product_product on product_product.id=stock_move.product_id left join product_template on product_template.id=product_product.product_tmpl_id where ( ( select locat.usage from stock_location as locat where locat.id=stock_move.location_id )='production' ) and stock_move.date <= '{date_end}' and stock_move.state='done' and product_template.type = 'product' {query_product} group by stock_move.product_id,product_template.id order by stock_move.product_id ) union all ( select sum(product_qty) * -1 as cantidad, sum(total_cost) * -1 as total_cost, stock_move.product_id, sum(total_cost)/(case when sum(product_qty)=0 then 1 else sum(product_qty) end ) as costo, product_template.id from stock_move left join product_product on product_product.id=stock_move.product_id left join product_template on product_template.id=product_product.product_tmpl_id where ( ( select locat.usage from stock_location as locat where locat.id=stock_move.location_dest_id )='production' ) and stock_move.date <= '{date_end}' and stock_move.state='done' and product_template.type = 'product' {query_product} group by stock_move.product_id, product_template.id order by stock_move.product_id ) union all ( select sum(product_qty) * -1 as cantidad, sum(total_cost) * -1 as total_cost, stock_move.product_id, sum(total_cost)/(case when sum(product_qty)=0 then 1 else sum(product_qty) end ) as costo, product_template.id from stock_move left join product_product on product_product.id=stock_move.product_id left join product_template on product_template.id=product_product.product_tmpl_id where ( ( select locat.usage from stock_location as locat where locat.id=stock_move.location_dest_id )='inventory' ) and stock_move.date <= '{date_end}' and stock_move.state='done' and product_template.type = 'product' {query_product} group by stock_move.product_id,product_template.id order by stock_move.product_id ) union all ( select sum(product_qty) as cantidad, sum(total_cost) as total_cost, stock_move.product_id, sum(total_cost)/(case when sum(product_qty)=0 then 1 else sum(product_qty) end ) as costo, product_template.id from stock_move left join product_product on product_product.id=stock_move.product_id left join product_template on product_template.id=product_product.product_tmpl_id where ( ( select locat.usage from stock_location as locat where locat.id=stock_move.location_id )='inventory' ) and stock_move.date <= '{date_end}' and stock_move.state='done' and product_template.type = 'product' {query_product} group by stock_move.product_id, product_template.id order by stock_move.product_id ) ); create table costo_tabla_dos as ( select sum(cantidad) as cantidad, sum(total_cost) as costo_total, sum(total_cost)/ (case when sum(cantidad)=0 then 1 else sum(cantidad) end ) as costo , product_id, id from prueba_cost group by product_id, id order by id ); """.format(date_end=date_end, query_product=query_product)) # CONSULTA DE INFORMACION cr.execute(""" SELECT sum(costo_total), sum(cantidad), product_id, sum(costo) FROM costo_tabla_dos GROUP BY product_id; """) result = cr.fetchall() if result: for r in result: cr.execute(""" select name_template, default_code from product_product where id = {id} """.format(id=r[2])) product_id = cr.fetchone() if product_id[0] is None: product_name = 'Sin nombre' else: product_name = product_id[0] if product_id[1] is None: default_code = 'Sin Referencia' else: default_code = product_id[1] line = { 'product_id': r[2], 'product_name': product_name, 'default_code': default_code, 'location_name': 'Todas las Ubicaciones', 'qty': r[1], 'cost': r[3], 'total_cost': r[0], } avancys_orm.direct_create(self._cr, self._uid, 'value_line_report', [line]) else: line = { 'product_name': 'Sin resultado', 'qty': 0, 'total_cost': 0, 'cost': 0 } avancys_orm.direct_create(self._cr, self._uid, 'value_line_report', [line]) if self.print_report == 'print': cr.execute(""" select product_id, product_name, default_code, location_name, qty, cost, total_cost from value_line_report """) datos = self._cr.fetchall() url = self.printfast(datos) return {'type': 'ir.actions.act_url', 'url': str(url), 'target': 'self'} else: return { 'name': 'Analisis de Valorizado', 'view_type': 'form', 'view_mode': 'graph,tree', 'view_id': False, 'res_model': 'value.line.report', 'type': 'ir.actions.act_window', 'context': {'search_default_group_principal': True} } @api.multi def printfast(self, datos): actual = str(datetime.now() - timedelta(hours=5))[0:19] data_attach = { 'name': 'Valorizado_V2' + self.env.user.company_id.name + self.env.user.name + '_' + actual + '.xlsx', 'datas': '.', 'datas_fname': 'Valorizado_V2' + self.env.user.company_id.name + self.env.user.name + '_' + actual + '.', 'res_model': 'value.report.wizard', 'res_id': self.id, } self.env['ir.attachment'].search( [('res_model', '=', 'value.report.wizard'), ('company_id', '=', self.env.user.company_id.id), ( 'name', 'like', '%Valorizado_V2%' + self.env.user.name + '%')]).unlink() # elimina adjuntos del usuario # crea adjunto en blanco attachments = self.env['ir.attachment'].create(data_attach) headers = dict(request.httprequest.__dict__.get('headers')) if headers.get('Origin', False): url = dict(request.httprequest.__dict__.get('headers')).get( 'Origin') + '/web/binary/saveas?model=ir.attachment&field=datas&filename_field=name&id=' + str( attachments.id) else: url = dict(request.httprequest.__dict__.get('headers')).get( 'Referer') + '/binary/saveas?model=ir.attachment&field=datas&filename_field=name&id=' + str( attachments.id) path = attachments.store_fname self.env['ir.attachment'].search([['store_fname', '=', path]]).write( {'store_fname': attachments._get_path(path)[0]}) wb = xlsxwriter.Workbook(attachments._get_path(path)[1]) bold = wb.add_format({'bold': True}) bold2 = wb.add_format({'bold': True, 'fg_color': '#ffffff'}) bold3 = wb.add_format({'bold': False, 'fg_color': '#F2F2F2'}) bold4 = wb.add_format({'bold': True, 'fg_color': '#2E86C1'}) bold.set_align('center') bold2.set_align('center') bold3.set_align('center') bold4.set_align('center') money_format = wb.add_format({'num_format': '$#,##0'}) money_format.set_align('right') ws = wb.add_worksheet('Valorizado') ws.set_column('A:A', 20) ws.set_column('B:B', 30) ws.set_column('C:C', 30) ws.set_column('D:D', 20) ws.set_column('E:E', 20) ws.set_column('F:F', 20) ws.set_column('G:G', 20) abc = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z'] ws.merge_range('A1:G1', 'INFORME VALORIZADO', bold2) ws.merge_range('A2:G2', 'FECHA CONSULTA: ' + actual, bold2) ws.merge_range('A3:B4', '', bold2) ws.write('C3', 'DESDE:', bold2) ws.write('D3', self.date_end, bold2) ws.merge_range('E3:G3', '', bold2) ws.merge_range('C4:G4', '', bold2) titulos = self.title.split(',') num = [x for x in range(0, 101)] resultado = zip(abc, num) for i, l in enumerate(titulos): for pos in resultado: if i == pos[1]: position = pos[0] break ws.write(position + str(5), l, bold4) filter_auto = 'A5:' + str(abc[len(titulos) - 1]) + '5' ws.autofilter(filter_auto) for x, line in enumerate(datos): for y, f in enumerate(titulos): for pos in resultado: if y == pos[1]: position = pos[0] break if position in ('E',): ws.write(position + str(6 + x), line[y] or int(0), bold3) elif position in ('F', 'G'): ws.write(position + str(6 + x), line[y] or int(0), money_format) else: ws.write(position + str(6 + x), line[y] or '') wb.close() return url
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# you can write to stdout for debugging purposes, e.g. # print("this is a debug message") ## given N return smallest positive integer that whose individual digits sum to N # def solution(N): # i = 1; # while (1): # # Checking if number has # # sum of digits = N # if (getSum(i) == N): # return i; # break; # i += 1; # def getSum(n): # sum1 = 0; # while (n != 0): # sum1 = sum1 + n % 10; # n = n // 10; # return sum1; # what is the length of the longest bi-valued slice (continuous fragment) in a given array a # you can write to stdout for debugging purposes, e.g. # print("this is a debug message") # def solution(A): # # write your code in Python 3.6 # lastSeen = -1 # secondLastSeen = -1 # lbs = 0 # tempCount = 0 # lastSeenNumberRepeatedCount = 0 # for current in A: # if (current == lastSeen or current == secondLastSeen): # tempCount += 1 # else: # # if the current number is not in our read list it means # # new series has started, tempCounter value in this case will be # # how many times lastSeen number repeated before this new number # # encountered + 1 for current number. # tempCount = lastSeenNumberRepeatedCount + 1 # if (current == lastSeen): # lastSeenNumberRepeatedCount += 1 # else: # lastSeenNumberRepeatedCount = 1 # secondLastSeen = lastSeen # lastSeen = current # lbs = max(tempCount, lbs) # return lbs
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#!/usr/bin/env python #-*- coding:utf-8 -*- # Author = "Hui_Yao" ''' 是否有序: 有序:字符串,列表,元组 无序:字典,集合 是否可变: 不可变(hashable):数值,字符串,元组,frozenset 可变(unhashable):列表,字典,集合 ''' import copy a = [9999999,'str',{1,2,3},[1,2],{'apple':10,'orange':5}] print('赋值语句'.center(50,'*')) b = a print('地址容器:',bool(id(a)==id(b))) print('不可变对象:',bool(id(a[0])==id(b[0]))) print('不可变对象:',bool(id(a[1])==id(b[1]))) print('可变对象:',bool(id(a[2])==id(b[2]))) print('可变对象:',bool(id(a[3])==id(b[3]))) print('可变对象:',bool(id(a[4])==id(b[4]))) import copy a = [9999999,'str',{1,2,3},[1,2],{'apple':10,'orange':5}] print('浅复制'.center(50,'*')) c = copy.copy(a) print('地址容器:',bool(id(a)==id(c))) print('不可变对象:',bool(id(a[0])==id(c[0]))) print('不可变对象:',bool(id(a[1])==id(c[1]))) print('可变对象:',bool(id(a[2])==id(c[2]))) print('可变对象:',bool(id(a[3])==id(c[3]))) print('可变对象:',bool(id(a[4])==id(c[4]))) import copy a = [9999999,'str',{1,2,3},[1,2],{'apple':10,'orange':5}] print('深复制'.center(50,'*')) d = copy.deepcopy(a) print('地址容器:',bool(id(a)==id(d))) print('不可变对象:',bool(id(a[0])==id(d[0]))) print('不可变对象:',bool(id(a[1])==id(d[1]))) print('可变对象:',bool(id(a[2])==id(d[2]))) print('可变对象:',bool(id(a[3])==id(d[3]))) print('可变对象:',bool(id(a[4])==id(d[4]))) ''' https://www.cnblogs.com/huiyaoo/p/11727242.html 另外函数不可以修改全局变量中的不可变对象,但是可以修改全局变量中的可变对象的元素,是一个道理。 '''
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# Copyright 2018 Dong-Hyun Lee, Kakao Brain. # (Strongly inspired by original Google BERT code and Hugging Face's code) # # 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. """ Transformer Model Classes & Config Class """ import math import json from typing import NamedTuple import numpy as np import torch import torch.nn as nn import torch.nn.functional as F from utils.utils import split_last, merge_last class Config(NamedTuple): "Configuration for BERT model" vocab_size: int = None # Size of Vocabulary dim: int = 768 # Dimension of Hidden Layer in Transformer Encoder n_layers: int = 12 # Numher of Hidden Layers n_heads: int = 12 # Numher of Heads in Multi-Headed Attention Layers dim_ff: int = 768*4 # Dimension of Intermediate Layers in Positionwise Feedforward Net #activ_fn: str = "gelu" # Non-linear Activation Function Type in Hidden Layers p_drop_hidden: float = 0.1 # Probability of Dropout of various Hidden Layers p_drop_attn: float = 0.1 # Probability of Dropout of Attention Layers max_len: int = 512 # Maximum Length for Positional Embeddings n_segments: int = 2 # Number of Sentence Segments @classmethod def from_json(cls, file): return cls(**json.load(open(file, "r"))) def gelu(x): "Implementation of the gelu activation function by Hugging Face" return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) class LayerNorm(nn.Module): "A layernorm module in the TF style (epsilon inside the square root)." def __init__(self, cfg, variance_epsilon=1e-12): super().__init__() self.gamma = nn.Parameter(torch.ones(cfg.dim)) self.beta = nn.Parameter(torch.zeros(cfg.dim)) self.variance_epsilon = variance_epsilon def forward(self, x): u = x.mean(-1, keepdim=True) s = (x - u).pow(2).mean(-1, keepdim=True) x = (x - u) / torch.sqrt(s + self.variance_epsilon) return self.gamma * x + self.beta class Embeddings(nn.Module): "The embedding module from word, position and token_type embeddings." def __init__(self, cfg): super().__init__() self.tok_embed = nn.Embedding(cfg.vocab_size, cfg.dim) # token embedding self.pos_embed = nn.Embedding(cfg.max_len, cfg.dim) # position embedding self.seg_embed = nn.Embedding(cfg.n_segments, cfg.dim) # segment(token type) embedding self.norm = LayerNorm(cfg) self.drop = nn.Dropout(cfg.p_drop_hidden) def forward(self, x, seg): seq_len = x.size(1) pos = torch.arange(seq_len, dtype=torch.long, device=x.device) pos = pos.unsqueeze(0).expand_as(x) # (S,) -> (1, S) -> (B, S) 이렇게 외부에서 생성되는 값 e = self.tok_embed(x) + self.pos_embed(pos) + self.seg_embed(seg) return self.drop(self.norm(e)) class MultiHeadedSelfAttention(nn.Module): """ Multi-Headed Dot Product Attention """ def __init__(self, cfg): super().__init__() self.proj_q = nn.Linear(cfg.dim, cfg.dim) self.proj_k = nn.Linear(cfg.dim, cfg.dim) self.proj_v = nn.Linear(cfg.dim, cfg.dim) self.drop = nn.Dropout(cfg.p_drop_attn) self.scores = None # for visualization self.n_heads = cfg.n_heads def forward(self, x, mask): """ x, q(query), k(key), v(value) : (B(batch_size), S(seq_len), D(dim)) mask : (B(batch_size) x S(seq_len)) * split D(dim) into (H(n_heads), W(width of head)) ; D = H * W """ # (B, S, D) -proj-> (B, S, D) -split-> (B, S, H, W) -trans-> (B, H, S, W) q, k, v = self.proj_q(x), self.proj_k(x), self.proj_v(x) q, k, v = (split_last(x, (self.n_heads, -1)).transpose(1, 2) for x in [q, k, v]) # (B, H, S, W) @ (B, H, W, S) -> (B, H, S, S) -softmax-> (B, H, S, S) scores = q @ k.transpose(-2, -1) / np.sqrt(k.size(-1)) if mask is not None: mask = mask[:, None, None, :].float() scores -= 10000.0 * (1.0 - mask) scores = self.drop(F.softmax(scores, dim=-1)) # (B, H, S, S) @ (B, H, S, W) -> (B, H, S, W) -trans-> (B, S, H, W) h = (scores @ v).transpose(1, 2).contiguous() # -merge-> (B, S, D) h = merge_last(h, 2) self.scores = scores return h class PositionWiseFeedForward(nn.Module): """ FeedForward Neural Networks for each position """ def __init__(self, cfg): super().__init__() self.fc1 = nn.Linear(cfg.dim, cfg.dim_ff) self.fc2 = nn.Linear(cfg.dim_ff, cfg.dim) #self.activ = lambda x: activ_fn(cfg.activ_fn, x) def forward(self, x): # (B, S, D) -> (B, S, D_ff) -> (B, S, D) return self.fc2(gelu(self.fc1(x))) class Block(nn.Module): """ Transformer Block """ def __init__(self, cfg): super().__init__() self.attn = MultiHeadedSelfAttention(cfg) self.proj = nn.Linear(cfg.dim, cfg.dim) self.norm1 = LayerNorm(cfg) self.pwff = PositionWiseFeedForward(cfg) self.norm2 = LayerNorm(cfg) self.drop = nn.Dropout(cfg.p_drop_hidden) def forward(self, x, mask): h = self.attn(x, mask) h = self.norm1(x + self.drop(self.proj(h))) h = self.norm2(h + self.drop(self.pwff(h))) return h class Transformer(nn.Module): """ Transformer with Self-Attentive Blocks""" def __init__(self, cfg): super().__init__() self.embed = Embeddings(cfg) self.blocks = nn.ModuleList([Block(cfg) for _ in range(cfg.n_layers)]) # h 번 반복 def forward(self, x, seg, mask): h = self.embed(x, seg) for block in self.blocks: h = block(h, mask) return h class Classifier(nn.Module): """ Classifier with Transformer """ def __init__(self, cfg, n_labels): super().__init__() self.transformer = Transformer(cfg) self.fc = nn.Linear(cfg.dim, cfg.dim) self.activ = nn.Tanh() self.drop = nn.Dropout(cfg.p_drop_hidden) self.classifier = nn.Linear(cfg.dim, n_labels) def forward(self, input_ids, segment_ids, input_mask): h = self.transformer(input_ids, segment_ids, input_mask) # print(len(h)) # print(len(h[0])) # print(len(h[0][0])) # only use the first h in the sequence pooled_h = self.activ(self.fc(h[:, 0])) # 맨앞의 [CLS]만 뽑아내기 # print(len(pooled_h)) logits = self.classifier(self.drop(pooled_h)) # print(len(logits)) # print(logits) return logits class Opinion_extract(nn.Module): """ Opinion_extraction """ def __init__(self, cfg, max_len, n_labels): super().__init__() self.transformer = Transformer(cfg) self.fc = nn.Linear(cfg.dim, cfg.dim) self.activ = nn.Tanh() self.drop = nn.Dropout(cfg.p_drop_hidden) self.extract = nn.Linear(cfg.dim, n_labels) self.sigmoid = nn.Sigmoid() def forward(self, input_ids, segment_ids, input_mask): h = self.transformer(input_ids, segment_ids, input_mask) # 전체 시퀀스 길이 만큼 뽑아내기 h = self.drop(self.activ(self.fc(h[:, 1:-1]))) seq_h = self.extract(h) seq_h = seq_h.squeeze() return self.sigmoid(seq_h) # class OutputFCLayer(nn.Module): # def __init__(self, cfg, n_labels): # super(OutputFCLayer, self).__init__() # self.bert = Classifier(cfg, n_labels) # self.dropout = nn.Dropout(cfg.p_drop_hidden) # self.activ = nn.Tanh() # self.classifier = nn.Linear(cfg.dim, n_labels) # def forward(self,input_ids, segment_ids, input_mask): # pooled_output = self.bert(input_ids, segment_ids, input_mask) # logits = self.classifier(self.activ(self.drop(pooled_output))) # return logits
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file './ui/export/export.ui' # # Created by: PyQt5 UI code generator 5.11.2 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_dialog(object): def setupUi(self, dialog): dialog.setObjectName("dialog") dialog.resize(824, 403) self.verticalLayout = QtWidgets.QVBoxLayout(dialog) self.verticalLayout.setObjectName("verticalLayout") self.presetsWidget = PresetsWidget(dialog) sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Preferred, QtWidgets.QSizePolicy.MinimumExpanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.presetsWidget.sizePolicy().hasHeightForWidth()) self.presetsWidget.setSizePolicy(sizePolicy) self.presetsWidget.setObjectName("presetsWidget") self.verticalLayout.addWidget(self.presetsWidget) spacerItem = QtWidgets.QSpacerItem(20, 20, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Fixed) self.verticalLayout.addItem(spacerItem) self.gridLayout = QtWidgets.QGridLayout() self.gridLayout.setObjectName("gridLayout") self.tempLabel = QtWidgets.QLabel(dialog) self.tempLabel.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) self.tempLabel.setObjectName("tempLabel") self.gridLayout.addWidget(self.tempLabel, 0, 0, 1, 1) self.tempLineEdit = QtWidgets.QLineEdit(dialog) self.tempLineEdit.setObjectName("tempLineEdit") self.gridLayout.addWidget(self.tempLineEdit, 0, 1, 1, 1) self.tempBrowsePushButton = QtWidgets.QPushButton(dialog) self.tempBrowsePushButton.setObjectName("tempBrowsePushButton") self.gridLayout.addWidget(self.tempBrowsePushButton, 0, 2, 1, 1) self.docLabel = QtWidgets.QLabel(dialog) self.docLabel.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) self.docLabel.setObjectName("docLabel") self.gridLayout.addWidget(self.docLabel, 1, 0, 1, 1) self.docLineEdit = QtWidgets.QLineEdit(dialog) self.docLineEdit.setObjectName("docLineEdit") self.gridLayout.addWidget(self.docLineEdit, 1, 1, 1, 1) self.docBrowsePushButton = QtWidgets.QPushButton(dialog) self.docBrowsePushButton.setObjectName("docBrowsePushButton") self.gridLayout.addWidget(self.docBrowsePushButton, 1, 2, 1, 1) self.verticalLayout.addLayout(self.gridLayout) spacerItem1 = QtWidgets.QSpacerItem(20, 20, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Fixed) self.verticalLayout.addItem(spacerItem1) self.projectExportWidget = ExportProjectWidget(dialog) sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Preferred, QtWidgets.QSizePolicy.Expanding) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.projectExportWidget.sizePolicy().hasHeightForWidth()) self.projectExportWidget.setSizePolicy(sizePolicy) self.projectExportWidget.setObjectName("projectExportWidget") self.verticalLayout.addWidget(self.projectExportWidget) spacerItem2 = QtWidgets.QSpacerItem(20, 20, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Fixed) self.verticalLayout.addItem(spacerItem2) self.buttonBox = QtWidgets.QDialogButtonBox(dialog) self.buttonBox.setStandardButtons(QtWidgets.QDialogButtonBox.Cancel|QtWidgets.QDialogButtonBox.Ok) self.buttonBox.setObjectName("buttonBox") self.verticalLayout.addWidget(self.buttonBox) self.retranslateUi(dialog) self.buttonBox.accepted.connect(dialog.accept) self.buttonBox.rejected.connect(dialog.reject) QtCore.QMetaObject.connectSlotsByName(dialog) def retranslateUi(self, dialog): _translate = QtCore.QCoreApplication.translate dialog.setWindowTitle(_translate("dialog", "Dialog")) self.tempLabel.setText(_translate("dialog", "Temporary Folder:")) self.tempBrowsePushButton.setText(_translate("dialog", "Browse")) self.docLabel.setText(_translate("dialog", "Output Document:")) self.docBrowsePushButton.setText(_translate("dialog", "Browse")) from snpanalyzer.gui.widget.export.project import ExportProjectWidget from snpanalyzer.gui.widget.presets import PresetsWidget if __name__ == "__main__": import sys app = QtWidgets.QApplication(sys.argv) dialog = QtWidgets.QDialog() ui = Ui_dialog() ui.setupUi(dialog) dialog.show() sys.exit(app.exec_())
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import numpy as np from skimage.draw import circle, line def displayVelocities(left, right, shape=(200, 200)): # NOTE: For display purposes only! To use as a distribution, call np.flipud # on the output r = shape[0] c = shape[1] # draw a circle representing the robot shape rr1, cc1 = circle(r / 2, c / 2, r / 10, shape) # draw lines representing the robot left wheel rr2, cc2 = line(r / 2, c / 4, r / 2 + int(left * 100), c / 4) rr3, cc3 = line(r / 2, c * 3 / 4, r / 2 + int(right * 100), c * 3 / 4) diff = (right - left) * 100 avg = (right + left / 2) * 100 rr4, cc4 = line(r / 2, c / 2, r / 2 + int(avg), c / 2 + int(diff)) # push the drawings onto a color image img = np.zeros((r, c, 3), dtype=np.uint8) img[rr1, cc1, :2] = 255 img[rr2, cc2, 1:] = 255 img[rr3, cc3, 1:] = 255 img[rr4, cc3, 1] = 255 return np.flipud(img)
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from django.contrib.auth.decorators import login_required from django.shortcuts import render
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""" cd /mnt/ebs0/termite/py/data python wikipedia.py sudo apt-get install python-setuptools easy_install parsedatetime-0.8.7-py2.5.egg easy_install http://code.google.com/p/parsedatetime/downloads/detail?name=parsedatetime-0.8.7-py2.5.egg easy_install http://code.google.com/p/parsedatetime/downloads/detail?name=parsedatetime-0.8.7-py2.5.egg&can=2&q= """ import parsedatetime.parsedatetime as pdt import parsedatetime.parsedatetime_consts as pdc import urllib import urllib2 import re import datetime date = datetime.date """ p = pdt.Calendar() r = p.parseDate("5 september 1999") """ pdCal = pdt.Calendar() def safeInt(x): try: rs = int(x) except ValueError: return None return rs def templateText(x): m = re.search("{{(.*)}}",x) if m==None: return None return m.group(1) def parseWikiDate(txt): " see http://en.wikipedia.org/wiki/Template:Start_date" "{{Start date|year|month|day}}" ttxt = templateText(txt) sp = ttxt.rsplit("|"); print sp if sp[0]=="nowrap": return dateToISO8601(sp[1]) ints = [] for s in sp: i = safeInt(s) if i != None: ints.append(i) print ints dt = date(ints[0],ints[1],ints[2]) return dt def dateToISO8601(txt): print "DATE "+txt txt = txt.strip() iswikit = txt[0:2]=="{{" print iswikit if iswikit: dt = parseWikiDate(txt) else: st = pdCal.parse(txt) d0 = st[0] dt = date(d0[0],d0[1],d0[2]) if type(dt)==str: iso = dt else: iso = dt.isoformat() print txt,iso return iso #iso = dt.isoformat() print dt#,iso class StringWC: def __init__(self,data,cursor=0): self.data = data self.cursor = cursor def nextTable(self): st = self.data tb = st.find("{| ",self.cursor) if tb < 0: return False self.cursor = tb return True def firstRow(self): self.cursor = self.data.find("|-",self.cursor) def pastLF(self): lf = self.data.find("\n",self.cursor) self.cursor = lf+1 def grabRow(self): """ assumes the cursor is pointing at the beginning of a row """ st = self.data pc = self.cursor+1 rwe = st.find("|-",pc) tbe = st.find("|}",pc) mn = min(rwe,tbe) self.pastLF() row = st[self.cursor:mn] self.cursor = mn return row.rsplit("\n|") def here(self,chars): lb = self.cursor ub = lb+chars return self.data[lb:ub] def show(self,chars=2): print "["+self.here(chars)+"]" def atTableEnd(self): cr = self.cursor return self.here(2) == "|}" def grabRows(self): self.firstRow() rs = [] while True: rs.append(self.grabRow()) if self.atTableEnd(): return rs def nextWikiLink(self): st = self.data tb = st.find("[[",self.cursor) if tb < 0: return False self.cursor = tb return True def grabWikiLink(self): st = self.data ep = st.find("]]",self.cursor) rs = st[self.cursor:ep+2] self.cursor = ep+2 return rs def grabNextWikiLink(self): self.nextWikiLink() return self.grabWikiLink() def nextInfoBox(self): st = self.data tb = st.find("{{Infobox ",self.cursor) if tb < 0: return False self.cursor = tb return True def InfoBoxType(self): """ assumes at infobox """ cr = self.cursor st = self.data eol = st.find("\n",cr) rs = st[cr+10:eol] self.cursor = eol+1 return rs.split() def grabInfoBoxLine(self,rs): if self.here(2) == "}}": return False cr = self.cursor st = self.data eol = st.find("\n",cr) ln = st[cr+1:eol] pr = ln.partition("=") prp = pr[0].strip() vl = pr[2].strip() rs[prp] = vl self.cursor = eol+1 return True def grabInfoBox(self): tp = self.InfoBoxType() rs = {} rs["__type__"] = tp while True: if not self.grabInfoBoxLine(rs): return rs def AAselect(aa,n): """AA = array of arrays """ rs = [] for e in aa: if len(e)>n: rs.append(e[n]) return rs def printWithLFs(a): for e in a: print str(e)+"\n" wikiTimeout = 2 def grabPage(url): #qurl = "http://"+urllib.quote_plus(url) #print qurl rq = urllib2.urlopen(url,None,wikiTimeout) rs = rq.read() return rs def grabWikipediaPage(name): url = "http://en.wikipedia.org/w/index.php?title="+name+"&action=raw" print "GRABBING "+url rs = grabPage(url) return StringWC(rs) class WikiLink: def __init__(self,pname,dtext): self.pageName = pname self.displayText = dtext def __str__(self): return "[["+self.pageName+"|"+self.displayText+"]]" def getWLink(s): m = re.search('\[\[(.*)\]\]',s) if m: g0 = m.group(0) ltxt = g0[2:len(g0)-2] sp = ltxt.rsplit("|") if len(sp)==1: txt = ltxt else: txt = sp[1] return WikiLink(sp[0],txt) return None def WLPageName(s): s.rsplit("|")[0] def WLDisplayText(s): sp = s.rsplit("|") if len(sp)==1: return s return s[1] def filterProperties(d,filter): rs = {} for k,v in d.iteritems(): flt = filter.get(k,None) if flt: rs[flt] = v return rs def albumTriples(artist,albumname,imsize): rst = grabWikipediaPage(albumname) rst.nextInfoBox() ibx = rst.grabInfoBox() flt = filterProperties(ibx,{"Released":"releaseDate","Cover":"cover","Name":"title"}) trps = [] trps.append([albumname,"__type__",["type/Album"]]) tr0 = [albumname,"artist",[artist]] trps.append(tr0) for k,v in flt.iteritems(): if k == "releaseDate": v = dateToISO8601(v) if k == "cover": ov = v v = getImageUrl(v,imsize) trp = [albumname,k,v] trps.append(trp) return trps def getImageUrl(nm,size): qnm = urllib.quote_plus(nm) print "QNM "+qnm qurl = "http://en.wikipedia.org/w/api.php?action=parse&text=[[File:"+qnm+"|"+str(size)+"px]]&format=json" print "GETTING IMAGE "+qurl txt = grabPage(qurl) txt = txt.replace("\\","") m = re.search('src="([^"]*)"',txt) if m: rs = "http:"+m.group(1) print "GOT "+rs return rs """ trps = albumTriples("The_Rolling_Stones","The_Rolling_Stones_(album)") print trps exit() rst = grabPage("The_Rolling_Stones_(album)") rst.nextInfoBox() ibx = rst.grabInfoBox() print ibx #print rst.InfoBoxType() exit() rst = grabPage("The_Rolling_Stones_discography") rst.nextTable() rs = rst.grabRows() printWithLFs([getWLink(x) for x in AAselect(rs,1)]) rst.firstRow() rst.grabRow() print rst.grabRow() rst.show() http://api.billboard.com/apisvc/chart/v1/list?sdate=2003-10-10&edate=2008-08-08&api_key=bvk4re5h37dzvx87h7rf5dqz http://en.wikipedia.org/w/api.php?action=expandtemplates&text=%7B%7BProject:Sandbox%7D%7D http://en.wikipedia.org/w/api.php?action=parse&text=[[File:TattooYou81.jpg|50px]]&format=json http://upload.wikimedia.org/wikipedia/en/thumb/1/16/TattooYou81.jpg/50px-TattooYou81.jpg https://www.googleapis.com/freebase/v1/search?query=Rolling+Stones&indent=true&type=/music/artist&mql_output={"id":null} https://www.googleapis.com/freebase/v1/mqlread?query=[{"type":"/music/album","name":null,"artist":{"id":"/en/the_beatles"},"release_date":null,"limit":30,"/common/topic/image":[{"id":null}]}]&cursor https://www.googleapis.com/freebase/v1/text/en/mona_lisa https://www.googleapis.com/freebase/v1/mqlread?query=[{"id":"/en/the_garden_of_earthly_delights","*":null}] https://www.googleapis.com/freebase/v1/mqlread?query=[{"id":"/en/the_garden_of_earthly_delights","type":"/visual_art/artwork","*":null}] https://www.googleapis.com/freebase/v1/mqlread?query=[{"id":"/en/the_garden_of_earthly_delights","type":"/common/topic","*":null}] https://www.googleapis.com/freebase/v1/mqlread?query=[{"id":"/en/the_garden_of_earthly_delights","type":"/book/book_subject","*":null}] https://www.googleapis.com/freebase/v1/mqlread?query=[{"id":"/en/mona_lisa","type":"/visual_art/artwork","*":null}] https://www.googleapis.com/freebase/v1/mqlread?query=[{"id":"/en/mona_lisa","*":null}] https://www.googleapis.com/freebase/v1/mqlread?query=[{"type":"/music/album","name":null,"artist":{"id":"/en/the_rolling_stones"},"release_date":null,"limit":3,"/common/topic/image":[{"id":null}]}]&cursor https://www.googleapis.com/freebase/v1/mqlread?query=[{"id":"/wikipedia/images/en_id/2623274","*":null}] https://usercontent.googleapis.com/freebase/v1/image/wikipedia/images/en_id/2623274?maxwidth=400&maxheight=400&mode=fill&pad=false """
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from django.apps import AppConfig class GestionCondominiosConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'gestion_condominios'
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f = open('B-small-attempt2.in','r') fo = open('result.txt','w') t = int(f.readline()) # 0N, 1R, 2O, 3Y, 4G, 5B, and 6V. d = [[],[2,6],[1,3],[2,4],[3,5],[4,6],[5,1]] e = [[],[3,4,5],[4,5,6],[1,5,6],[1,2,6],[1,2,3],[2,3,4]] st = 'XROYGBV' for ti in range(t): u = [int(x) for x in f.readline().split()] #print(u) b = [[[],u]] soln = "IMPOSSIBLE" while b: h = b[0] b = b[1:] a = h[1] #print(len(b)) if len(h[0]) == u[0]: if h[0][0] in e[h[0][-1]]: soln = ''.join(st[i] for i in h[0]) break broken = False for i in range(1,7): if a[i]: s = 0 for j in e[i]: s += a[j] if s < a[i]-1: broken = True break if not broken: if h[0]: dl = e[h[0][-1]] else: dl = range(1,7) ji = max((a[j],j) for j in range(1,7) if j in dl) if ji[0] > 4: j = ji[1] a[j] -= 1 b += [[h[0]+[j],a]] else: for j in dl: if a[j]: a2 = a[:] a2[j] -= 1 b += [[h[0]+[j],a2]] rs = "Case #%d: %s\n" % (ti+1, soln) #print(rs) fo.write( rs ) fo.close() f.close()
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# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # http://doc.scrapy.org/en/latest/topics/items.html import scrapy class Moegirl4KindleItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() pass
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stuff = 'Hello\nWorld!' stuff 'Hello\nWorld!' print(stuff) #Hello #World! stuff = 'X\nY' print(stuff) #X #Y len(stuff) #3
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''' Created by auto_sdk on 2014.03.27 ''' from user_auth.vendors.top.api.base import RestApi class TopatsTaskDeleteRequest(RestApi): def __init__(self,domain='gw.api.taobao.com',port=80): RestApi.__init__(self,domain, port) self.task_id = None def getapiname(self): return 'taobao.topats.task.delete'
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""" Django settings for superlists project. For more information on this file, see https://docs.djangoproject.com/en/1.7/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.7/ref/settings/ """ # Build paths inside the project like this: os.path.join(BASE_DIR, ...) import os BASE_DIR = os.path.dirname(os.path.dirname(__file__)) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/1.7/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'jpp#94@+ynhcikh*q#)wc+udd7k53@q!htn)ey))^uml-08&q%' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True TEMPLATE_DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = ( 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ) MIDDLEWARE_CLASSES = ( 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.auth.middleware.SessionAuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ) ROOT_URLCONF = 'superlists.urls' WSGI_APPLICATION = 'superlists.wsgi.application' # Database # https://docs.djangoproject.com/en/1.7/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Internationalization # https://docs.djangoproject.com/en/1.7/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/1.7/howto/static-files/ STATIC_URL = '/static/'
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from setuptools import setup setup( name='sonic-pcied', version='1.0', description='PCIe check daemon for SONiC', license='Apache 2.0', author='SONiC Team', author_email='linuxnetdev@microsoft.com', url='https://github.com/Azure/sonic-platform-daemons', maintainer='Sujin Kang', maintainer_email='sujkang@microsoft.com', scripts=[ 'scripts/pcied', ], classifiers=[ 'Development Status :: 4 - Beta', 'Environment :: No Input/Output (Daemon)', 'Intended Audience :: Developers', 'Intended Audience :: Information Technology', 'Intended Audience :: System Administrators', 'License :: OSI Approved :: Apache Software License', 'Natural Language :: English', 'Operating System :: POSIX :: Linux', 'Programming Language :: Python :: 2.7', 'Topic :: System :: Hardware', ], keywords='sonic SONiC PCIe pcie PCIED pcied', )
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"""ORM URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/1.11/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.conf.urls import url, include 2. Add a URL to urlpatterns: url(r'^blog/', include('blog.urls')) """ from django.conf.urls import url from django.contrib import admin from app01 import views urlpatterns = [ url(r'^admin/', admin.site.urls), url(r'^index/', views.index), url(r'^add/', views.add), url(r'^query/', views.query), ]
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Pooshan/App-using-Twilio
84bc0be1f091c678528bdf161c9fbb0af617fc0e
a6eea3f40ef9f22a7ab47c1f63b90deaa2620049
refs/heads/master
2022-11-23T23:56:49.754209
2016-10-01T18:47:25
2016-10-01T18:47:25
69,719,320
0
1
null
2022-11-02T19:48:20
2016-10-01T04:26:37
Python
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# Copyright 2014 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """The gen_repo_info_file command.""" import json import os from googlecloudsdk.calliope import base from googlecloudsdk.core import log from googlecloudsdk.core.util import files from googlecloudsdk.third_party.appengine.tools import context_util @base.Hidden class GenRepoInfoFile(base.Command): """Determines repository information and generates a file representation. The generated file is an opaque blob representing which source revision the application was built at, and which Google-hosted repository this revision will be pushed to. """ detailed_help = { 'DESCRIPTION': """\ This command generates two files, {old_name} and {contexts_filename}, containing information on the source revision and remote repository associated with the given source directory. {contexts_filename} contains information on all remote repositories associated with the directory, while {old_name} contains information only on one repository. It will refer to the associated Cloud Repository if there is one, or the remote Git repository if there is no Cloud Repository. {old_name} is deprecated in favor of {contexts_filename}. It is generated solely for compatibility with existing tools during the transition. """.format(old_name=context_util.CONTEXT_FILENAME, contexts_filename=context_util.EXT_CONTEXT_FILENAME), 'EXAMPLES': """\ To generate repository information files for your app, from your source directory run: $ {command} """, } @staticmethod def Args(parser): parser.add_argument( '--source-directory', default='.', help='The path to directory containing the source code for the build.') # TODO((b/25215149) Remove this option. parser.add_argument( '--output-file', help=( '(Deprecated; use --output-directory instead.) ' 'Specifies the full name of the output file to contain a single ' 'source context. The file name must be "{old_name}" in ' 'order to work with cloud diagnostic tools.').format( old_name=context_util.CONTEXT_FILENAME)) parser.add_argument( '--output-directory', default='', help=( 'The directory in which to create the source context files. ' 'Defaults to the current directory, or the directory containing ' '--output-file if that option is provided with a file name that ' 'includes a directory path.')) def Run(self, args): contexts = context_util.CalculateExtendedSourceContexts( args.source_directory) # First create the old-style source-context.json file if args.output_file: log.warn( 'The --output-file option is deprecated and will soon be removed.') output_directory = os.path.dirname(args.output_file) output_file = args.output_file else: output_directory = '' output_file = context_util.CONTEXT_FILENAME if not output_directory: if args.output_directory: output_directory = args.output_directory output_file = os.path.join(output_directory, output_file) else: output_directory = '.' best_context = context_util.BestSourceContext(contexts, args.source_directory) files.MakeDir(output_directory) with open(output_file, 'w') as f: json.dump(best_context, f, indent=2, sort_keys=True) # Create the new source-contexts.json file. if args.output_directory and args.output_directory != output_directory: output_directory = args.output_directory files.MakeDir(output_directory) with open(os.path.join(output_directory, context_util.EXT_CONTEXT_FILENAME), 'w') as f: json.dump(contexts, f, indent=2, sort_keys=True)
[ "pooshan.vyas@gmail.com" ]
pooshan.vyas@gmail.com
97ae75cc4d92f8ac1933d2161a26016998fd94bb
807361a30e3686e1f737af65f39b1cd24fdf47af
/trunk/shared/SConstruct
ceab0a61f36b22f46e1ddf8cecf131d39e284649
[]
no_license
BackupTheBerlios/nixstaller-svn
d1be8fe921dc9bd2aeb6ce73065dbf39fe588d28
776c22ca0ae867a00d78dc1ad6e3eb5a7ea45117
refs/heads/master
2021-03-13T00:06:19.965779
2010-01-10T12:28:24
2010-01-10T12:28:24
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# -*- coding: utf-8 -*- import sys, platform, os EnsureSConsVersion(0,96,91) opts = Options() opts.Add('CC', 'The C compiler', 'gcc') opts.Add('CXX', 'The C++ compiler', 'g++') opts.Add('OS', 'Manually overide target OS', '') opts.Add('CPU', 'Manually overide target arch', '') env = Environment(options = opts, CCFLAGS = Split("-Wall -g3"), LIBS='', CPPDEFINES=["-DDEBUG"]) Help(opts.GenerateHelpText(env)) if not env['OS']: cur_os = sys.platform.rstrip('1234567890') else: cur_os = env['OS'] if not env['CPU']: cur_arch = platform.machine() else: cur_arch = env['CPU'] if cur_arch[0] == 'i' and (cur_arch.endswith("86") or cur_arch.endswith("86pc")): cur_arch = "x86" elif cur_arch == 'amd64': cur_arch = "x86_64" if cur_os == "linux": env.Append(CCFLAGS = Split('$CCFLAGS -ffunction-sections -fdata-sections')) env.Append(LINKFLAGS = Split('$LINKFLAGS -Wl,--gc-sections')) if cur_os == "netbsd" or cur_os == "freebsd": env.Append(CCFLAGS=Split('$CCFLAGS -O2')) # -Os segfaults on NetBSD/FreeBSD exceptions, so use O2 instead else: env.Append(CCFLAGS=Split('$CCFLAGS')) # UNDONE: Readd -Os # OS/Arch specific dirs lib_dir = 'lib/'+cur_os+'/'+cur_arch+'/' inc_dir = 'include/'+cur_os+'/'+cur_arch+'/' env.Append(LIBPATH=[lib_dir]) env.Append(CPPPATH=['.', inc_dir, 'include/', 'include/libelf/'+cur_os+'/'+cur_arch, 'include/lua']) config_header = 'shared-config.h' def GetLFSFlags(context): context.Message('Checking for LFS flags...') handle = os.popen("getconf LFS_CFLAGS 2>/dev/null") if handle: flags = handle.read() context.Result(flags) context.env.Append(CCFLAGS=Split(flags)) handle.close() else: context.Result('None') if not env.GetOption('clean'): conf = env.Configure(config_h = config_header, custom_tests = {'GetLFSFlags' : GetLFSFlags}) conf.GetLFSFlags() if cur_os != "sunos": conf.CheckFunc('vasprintf', '#include <stdarg.h>') if not conf.CheckType('Elf32_Verdef', '#include "elf.h"'): print "Elf32_Verdef needs link.h?" if conf.CheckType('Elf32_Verdef', '#include "link.h" #include "elf.h"'): conf.env.Append(CPPDEFINES = '__LIBELF_SYMBOL_VERSIONS') else: conf.env.Append(CPPDEFINES = '__LIBELF_SYMBOL_VERSIONS') # Stuff required for pseudo terminal handling conf.CheckCHeader('util.h', "<>") if conf.CheckLib('util', 'openpty'): conf.Define('HAVE_OPENPTY') conf.CheckFunc('grantpt') conf.CheckFunc('getpt') conf.CheckFunc('unlockpt') conf.CheckFunc('ptsname') env = conf.Finish() elif env.GetOption('clean'): # Make sure that scons properly cleans everything Execute(Delete('main/.sconsign')) Execute(Delete('.sconf_temp')) Execute(Delete('.sconsign.dblite')) env.Object('libmd5/md5.c') env.VariantDir('build/main', 'main', 0) main = env.Library("build/main/main", Split('libmd5/md5.o build/main/elfutils.cpp build/main/main.cpp build/main/pseudoterminal.cpp build/main/utils.cpp build/main/vasprintf.c build/main/lua/lua.cpp build/main/lua/luafunc.cpp build/main/lua/luaclass.cpp build/main/lua/luatable.cpp')) Default(env.Install(lib_dir, main)) if cur_os == "linux" or cur_os == "netbsd" or cur_os == "openbsd": env.VariantDir('build/main_ap', 'main', 0) main_ap = env.Library("build/main_ap/main_ap", Split('libmd5/md5.o build/main_ap/elfutils.cpp build/main_ap/main.cpp build/main_ap/pseudoterminal.cpp build/main_ap/utils.cpp build/main_ap/vasprintf.c build/main_ap/lua/lua.cpp build/main_ap/lua/luafunc.cpp build/main_ap/lua/luaclass.cpp build/main_ap/lua/luatable.cpp'), CPPPATH=Split('$CPPPATH include/stdcxx include/stdcxx/cfg/'+cur_os+'/'+cur_arch), CXX='$CC') Default(env.Install(lib_dir, main_ap))
[ "rickhelmus@4b93ed76-1a02-0410-86fb-e1fd6f5b242a" ]
rickhelmus@4b93ed76-1a02-0410-86fb-e1fd6f5b242a
f5141b6705ae0022f2e749f0c17eefee56c7a02a
770e1ecfbc6d97a86583100f2903671e7474d707
/tests/unit/test_record.py
5d60c246a106becb0d338eff87448803927f7b22
[]
no_license
philipcristiano/pms
c4f09c8e10739ea665eaaebbccf96a1baba2bf37
8a71d4dcd406b275b077e4b7a16f66be6d3a774a
refs/heads/master
2020-05-30T21:37:19.154113
2011-09-05T22:50:09
2011-09-05T22:50:09
2,093,347
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from dingus import Dingus, DingusTestCase import pms.app as mod from pms.app import record class WhenRecordingEvents(DingusTestCase(record)): def setup(self): super(WhenRecordingEvents, self).setup() self.returned = record() def should_json_loads_request_data(self): assert mod.json.calls('loads', mod.request.data) def should_insert_data_safely(self): assert mod.events.calls('insert', mod.json.loads(), safe=True) def should_generate_rollups(self): assert mod.generate_rollups.calls('()', mod.json.loads()) def should_return_status(self): assert self.returned == mod.jsonify() def should_jsonify_status(self): assert mod.jsonify.calls('()', {'status': 200})
[ "git@philipcristiano.com" ]
git@philipcristiano.com
b1967d3e0558202aea64db2d93f90760ba779a18
0f2a123478c6fb5941c4180c76fa663833d3c764
/service/neighborhood.py
dfeeab71407cb8d5ab381e80c1088ed2c3ee5e0f
[ "Apache-2.0" ]
permissive
curtislisle/EntityAlignLarge
77fc650251724dc5eec9dbde13d34b91dd0d62b9
d629ef14b5f6abe3f0c758f8df92139dc9d01f07
refs/heads/master
2021-01-18T20:32:05.074741
2015-07-02T01:36:13
2015-07-02T01:36:13
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2015-05-17T10:32:24
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import bson.json_util from bson.objectid import ObjectId import json from pymongo import MongoClient def freeze(rec): return (str(rec["_id"]), rec["data"]["id"], bson.json_util.dumps(rec)) def process(frozen): rec = json.loads(frozen[2]) processed = {"key": rec["_id"]["$oid"]} processed.update(rec["data"]) return processed def run(host=None, db=None, coll=None, center=None, radius=None, deleted=json.dumps(False)): # Connect to the Mongo collection client = MongoClient(host) db = client[db] graph = db[coll] # Prepare the arguments. radius = int(radius) deleted = json.loads(deleted) frontier = set() neighbor_nodes = set() neighbor_links = [] # Find the center node in the database. center_node = graph.find_one({"_id": ObjectId(center)}) print 'found center node:',center_node if center_node is not None and deleted or not center_node["data"].get("deleted"): frozen = freeze(center_node) neighbor_nodes.add(frozen) frontier.add(frozen) for i in range(radius): new_frontier = set() # Compute the next frontier from the current frontier. for key, id, _ in frontier: # Find all incoming and outgoing links from all nodes in the # frontier. query = {"$and": [{"type": "link"}, {"$or": [{"data.source": id}, {"data.target": id}]}]} links = graph.find(query) print 'frontier query:',query print 'query result length:',links.count() # Collect the neighbors of the node, and add them to the new # frontier if appropriate. for link in links: source = link["data"]["source"] == id neighbor_id = source and link["data"]["target"] or link["data"]["source"] query_clauses = [{"type": "node"}, {"data.id": neighbor_id}] if not deleted: query_clauses.append({"$or": [{"data.deleted": {"$exists": False}}, {"data.deleted": False}]}) neighbor = graph.find_one({"$and": query_clauses}) if neighbor is not None: frozen = freeze(neighbor) if frozen not in neighbor_nodes: new_frontier.add(frozen) neighbor_nodes.add(frozen) if source: neighbor_link = {"source": key, "target": str(neighbor["_id"])} else: neighbor_link = {"source": str(neighbor["_id"]), "target": key} neighbor_links.append(neighbor_link) frontier = new_frontier # processed = map(process, neighbor_nodes) processed = map(lambda x: json.loads(x[2]), neighbor_nodes) return {"nodes": processed, "links": neighbor_links}
[ "clisle@knowledgevis.com" ]
clisle@knowledgevis.com
c6d4714404e20d2ce4b3f8d8d36491dd1a9377a8
94216c1d3dd2dc47bc0fea79fbbf1833d49626a9
/models.py
68e6687207e9a6f76f51df6edee9f41584213a88
[]
no_license
WLSheng/card-keypoint
c245def2977067957213403da1eb6d28c9560f5b
8f7ee735a5bf8b7ff35d273c28c02ce991960955
refs/heads/master
2023-03-13T05:50:06.086314
2021-03-02T03:26:35
2021-03-02T03:26:35
313,590,621
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import torch import torch.nn as nn try: from torch.hub import load_state_dict_from_url except ImportError: from torch.utils.model_zoo import load_url as load_state_dict_from_url __all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101', 'resnet152', 'resnext50_32x4d', 'resnext101_32x8d', 'wide_resnet50_2', 'wide_resnet101_2'] model_urls = { 'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth', 'resnet34': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth', 'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth', 'resnet101': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth', 'resnet152': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth', 'resnext50_32x4d': 'https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth', 'resnext101_32x8d': 'https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth', 'wide_resnet50_2': 'https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth', 'wide_resnet101_2': 'https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth', } def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1): """3x3 convolution with padding""" return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=dilation, groups=groups, bias=False, dilation=dilation) def conv1x1(in_planes, out_planes, stride=1): """1x1 convolution""" return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False) class BasicBlock(nn.Module): expansion = 1 def __init__(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm_layer=None): super(BasicBlock, self).__init__() if norm_layer is None: norm_layer = nn.BatchNorm2d if groups != 1 or base_width != 64: raise ValueError('BasicBlock only supports groups=1 and base_width=64') if dilation > 1: raise NotImplementedError("Dilation > 1 not supported in BasicBlock") # Both self.conv1 and self.downsample layers downsample the input when stride != 1 self.conv1 = conv3x3(inplanes, planes, stride) self.bn1 = norm_layer(planes) self.relu = nn.ReLU(inplace=True) self.conv2 = conv3x3(planes, planes) self.bn2 = norm_layer(planes) self.downsample = downsample self.stride = stride def forward(self, x): identity = x out = self.conv1(x) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) if self.downsample is not None: identity = self.downsample(x) out += identity out = self.relu(out) return out class Bottleneck(nn.Module): # Bottleneck in torchvision places the stride for downsampling at 3x3 convolution(self.conv2) # while original implementation places the stride at the first 1x1 convolution(self.conv1) # according to "Deep residual learning for image recognition"https://arxiv.org/abs/1512.03385. # This variant is also known as ResNet V1.5 and improves accuracy according to # https://ngc.nvidia.com/catalog/model-scripts/nvidia:resnet_50_v1_5_for_pytorch. expansion = 4 def __init__(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm_layer=None): super(Bottleneck, self).__init__() if norm_layer is None: norm_layer = nn.BatchNorm2d width = int(planes * (base_width / 64.)) * groups # Both self.conv2 and self.downsample layers downsample the input when stride != 1 self.conv1 = conv1x1(inplanes, width) self.bn1 = norm_layer(width) self.conv2 = conv3x3(width, width, stride, groups, dilation) self.bn2 = norm_layer(width) self.conv3 = conv1x1(width, planes * self.expansion) self.bn3 = norm_layer(planes * self.expansion) self.relu = nn.ReLU(inplace=True) self.downsample = downsample self.stride = stride def forward(self, x): identity = x out = self.conv1(x) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) out = self.relu(out) out = self.conv3(out) out = self.bn3(out) if self.downsample is not None: identity = self.downsample(x) out += identity out = self.relu(out) return out class ResNet(nn.Module): def __init__(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=64, replace_stride_with_dilation=None, norm_layer=None): super(ResNet, self).__init__() if norm_layer is None: norm_layer = nn.BatchNorm2d self._norm_layer = norm_layer self.inplanes = 64 self.dilation = 1 if replace_stride_with_dilation is None: # each element in the tuple indicates if we should replace # the 2x2 stride with a dilated convolution instead replace_stride_with_dilation = [False, False, False] if len(replace_stride_with_dilation) != 3: raise ValueError("replace_stride_with_dilation should be None " "or a 3-element tuple, got {}".format(replace_stride_with_dilation)) self.groups = groups self.base_width = width_per_group self.conv1 = nn.Conv2d(3, self.inplanes, kernel_size=7, stride=2, padding=3, bias=False) self.bn1 = norm_layer(self.inplanes) self.relu = nn.ReLU(inplace=True) self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) self.layer1 = self._make_layer(block, 64, layers[0]) self.layer2 = self._make_layer(block, 128, layers[1], stride=1, dilate=replace_stride_with_dilation[0]) self.layer3 = self._make_layer(block, 256, layers[2], stride=2, dilate=replace_stride_with_dilation[1]) self.layer4 = self._make_layer(block, 512, layers[3], stride=1, dilate=replace_stride_with_dilation[2]) # self.avgpool = nn.AdaptiveAvgPool2d((1, 1)) self.fc = nn.Linear(512 * block.expansion, num_classes) # self.fc = conv1x1(512 * block.expansion, 6) for m in self.modules(): if isinstance(m, nn.Conv2d): nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu') elif isinstance(m, (nn.BatchNorm2d, nn.GroupNorm)): nn.init.constant_(m.weight, 1) nn.init.constant_(m.bias, 0) # Zero-initialize the last BN in each residual branch, # so that the residual branch starts with zeros, and each residual block behaves like an identity. # This improves the model by 0.2~0.3% according to https://arxiv.org/abs/1706.02677 if zero_init_residual: for m in self.modules(): if isinstance(m, Bottleneck): nn.init.constant_(m.bn3.weight, 0) elif isinstance(m, BasicBlock): nn.init.constant_(m.bn2.weight, 0) def _make_layer(self, block, planes, blocks, stride=1, dilate=False): norm_layer = self._norm_layer downsample = None previous_dilation = self.dilation if dilate: self.dilation *= stride stride = 1 if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( conv1x1(self.inplanes, planes * block.expansion, stride), norm_layer(planes * block.expansion), ) layers = [] layers.append(block(self.inplanes, planes, stride, downsample, self.groups, self.base_width, previous_dilation, norm_layer)) self.inplanes = planes * block.expansion for _ in range(1, blocks): layers.append(block(self.inplanes, planes, groups=self.groups, base_width=self.base_width, dilation=self.dilation, norm_layer=norm_layer)) return nn.Sequential(*layers) def _forward_impl(self, x): # See note [TorchScript super()] x = self.conv1(x) x = self.bn1(x) x = self.relu(x) # print("00:", x.shape) x = self.maxpool(x) # print("00:", x.shape) x = self.layer1(x) # print("01:", x.shape) x = self.layer2(x) # print("02:", x.shape) x = self.layer3(x) # print("03:", x.shape) x = self.layer4(x) # print("layer4:", x.shape) # x = self.avgpool(x) # x = torch.flatten(x, 1) x = self.fc(x) return x def forward(self, x): return self._forward_impl(x) def _resnet(arch, block, layers, pretrained, progress, **kwargs): model = ResNet(block, layers, **kwargs) if pretrained: state_dict = load_state_dict_from_url(model_urls[arch], progress=progress) model.load_state_dict(state_dict) return model def resnet18(pretrained=False, progress=True, **kwargs): r"""ResNet-18 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return _resnet('resnet18', BasicBlock, [2, 2, 2, 2], pretrained, progress, **kwargs) def resnet34(pretrained=False, progress=True, **kwargs): r"""ResNet-34 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return _resnet('resnet34', BasicBlock, [3, 4, 6, 3], pretrained, progress, **kwargs) def resnet50(pretrained=False, progress=True, **kwargs): r"""ResNet-50 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return _resnet('resnet50', Bottleneck, [3, 4, 6, 3], pretrained, progress, **kwargs) def resnet101(pretrained=False, progress=True, **kwargs): r"""ResNet-101 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return _resnet('resnet101', Bottleneck, [3, 4, 23, 3], pretrained, progress, **kwargs) def resnet152(pretrained=False, progress=True, **kwargs): r"""ResNet-152 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return _resnet('resnet152', Bottleneck, [3, 8, 36, 3], pretrained, progress, **kwargs) def resnext50_32x4d(pretrained=False, progress=True, **kwargs): r"""ResNeXt-50 32x4d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ kwargs['groups'] = 32 kwargs['width_per_group'] = 4 return _resnet('resnext50_32x4d', Bottleneck, [3, 4, 6, 3], pretrained, progress, **kwargs) def resnext101_32x8d(pretrained=False, progress=True, **kwargs): r"""ResNeXt-101 32x8d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ kwargs['groups'] = 32 kwargs['width_per_group'] = 8 return _resnet('resnext101_32x8d', Bottleneck, [3, 4, 23, 3], pretrained, progress, **kwargs) def wide_resnet50_2(pretrained=False, progress=True, **kwargs): r"""Wide ResNet-50-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except for the bottleneck number of channels which is twice larger in every block. The number of channels in outer 1x1 convolutions is the same, e.g. last block in ResNet-50 has 2048-512-2048 channels, and in Wide ResNet-50-2 has 2048-1024-2048. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ kwargs['width_per_group'] = 64 * 2 return _resnet('wide_resnet50_2', Bottleneck, [3, 4, 6, 3], pretrained, progress, **kwargs) def wide_resnet101_2(pretrained=False, progress=True, **kwargs): r"""Wide ResNet-101-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except for the bottleneck number of channels which is twice larger in every block. The number of channels in outer 1x1 convolutions is the same, e.g. last block in ResNet-50 has 2048-512-2048 channels, and in Wide ResNet-50-2 has 2048-1024-2048. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ kwargs['width_per_group'] = 64 * 2 return _resnet('wide_resnet101_2', Bottleneck, [3, 4, 23, 3], pretrained, progress, **kwargs) if __name__ == '__main__': img = torch.rand((1, 3, 512, 512)) model = resnet50(pretrained=True) print(model) model.fc = conv1x1(512 * 4, 6) x = model(img) print(x.shape)
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# 1. 写程序打印九九乘法表 # 1x1=1 # 1x2=2 2x2=4 # 1x3=3 2x3=6 3x3=9 # .... # 1x9=9 .......... 9x9=81 for x2 in range(1, 10): for x1 in range(1, x2 + 1): print("%dx%d=%d"%(x1, x2, x1 * x2), end=' ') print() # 换行
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#!/home/moi/My-Bucket/BMS/proteomics/Proteomics/.venv/bin/python3 # -*- coding: utf-8 -*- import re import sys from pygments.cmdline import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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from rest_framework.test import APITestCase from rest_framework import status from CodeChallenge.api.models import Users, Companies from rest_framework.authtoken.models import Token class UsersTest(APITestCase): def get_user_data(self): return { "username": "test_user", "email": "test_user@test.com", "password": "testpassword", "name": "testname" } def check_if_can_create_a_user(self, expected_status, expected_number_of_objects, field_to_remove=None): data = self.get_user_data() if field_to_remove and field_to_remove in data: data.pop(field_to_remove) response = self.client.post('/users/', data, format='json') self.assertEqual(response.status_code, expected_status) if 'email' in data: get_queryset = Users.objects.filter(email=data['email']) if expected_status == status.HTTP_201_CREATED or status.HTTP_200_OK: self.assertEqual(get_queryset.count(), expected_number_of_objects) if get_queryset.count() > 0: for item in get_queryset: self.assertEqual(item.username, data['username']) self.assertEqual(item.email, data['email']) def test_can_create_a_user_with_full_data(self): self.check_if_can_create_a_user(status.HTTP_201_CREATED, 1) def test_can_create_a_user_without_name(self): self.check_if_can_create_a_user(status.HTTP_201_CREATED, 1, 'name') def test_cannot_create_a_user_without_username(self): self.check_if_can_create_a_user(status.HTTP_400_BAD_REQUEST, 0, 'username') def test_cannot_create_a_user_without_password(self): self.check_if_can_create_a_user(status.HTTP_400_BAD_REQUEST, 0, 'password') def test_cannot_create_a_user_without_email(self): self.check_if_can_create_a_user(status.HTTP_400_BAD_REQUEST, 0, 'email') class CompaniesTest(APITestCase): def setUp(self): self.TestUserA = Users.objects.create_user('Test User A', 'test_user_a@test.com', 'testpassword') self.TestUserB = Users.objects.create_user('Test User B', 'test_user_b@test.com', 'testpassword') def get_companies_data(self): return [ { "name": "Test Company", "email": "test_company@test.com", "phone": "+49 123 4567890", "country": "Country", "city": "City", "streetAddress": "City 123 00 B", }, { "name": "Another Company", "email": "anotehr_company@test.com", "phone": "+49 456 1237890", "country": "Country", "city": "City", "streetAddress": "City 321 99 C", } ] def get_token(self, user): response = self.client.post('/login/', {"username":user.username, "password":"testpassword"}, format='json') token = 'Token ' + response.data['token'] return token def check_if_can_create_a_company(self, expected_status, expected_number_of_objects, field_to_remove=None): data = self.get_companies_data() if field_to_remove: for item in data: item.pop(field_to_remove) response = self.client.post('/companies/', data, format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserA)) self.assertEqual(response.status_code, expected_status) get_instances = Companies.objects.all() number_of_objects = get_instances.count() self.assertEqual(number_of_objects, expected_number_of_objects) if number_of_objects > 0: for index in range(number_of_objects): if 'name' in data: self.assertEqual(get_instances[index].name, data[index]['name']) if 'email' in data: self.assertEqual(get_instances[index].email, data[index]['email']) if 'phone' in data: self.assertEqual(get_instances[index].phone, data[index]['phone']) if 'country' in data: self.assertEqual(get_instances[index].country, data[index]['country']) if 'city' in data: self.assertEqual(get_instances[index].city, data[index]['city']) if 'streetAddress' in data: self.assertEqual(get_instances[index].streetAddress, data[index]['streetAddress']) def test_can_create_a_company_if_user_logged_in_and_with_full_company_data(self): self.check_if_can_create_a_company(status.HTTP_201_CREATED, 2) def test_can_create_a_company_if_user_logged_in_and_without_company_country(self): self.check_if_can_create_a_company(status.HTTP_201_CREATED, 2, 'country') def test_can_create_a_company_if_user_logged_in_and_without_company_city(self): self.check_if_can_create_a_company(status.HTTP_201_CREATED, 2, 'city') def test_can_create_a_company_if_user_logged_in_and_without_company_street_address(self): self.check_if_can_create_a_company(status.HTTP_201_CREATED, 2, 'streetAddress') def test_cannot_create_a_company_if_user_logged_in_and_without_company_name(self): self.check_if_can_create_a_company(status.HTTP_400_BAD_REQUEST, 0, 'name') def test_cannot_create_a_company_if_user_logged_in_and_without_company_email(self): self.check_if_can_create_a_company(status.HTTP_400_BAD_REQUEST, 0, 'email') def test_cannot_create_a_company_if_user_logged_in_and_without_company_phone(self): self.check_if_can_create_a_company(status.HTTP_400_BAD_REQUEST, 0, 'phone') def test_cannot_create_companies_if_user_is_not_logged_in(self): data = self.get_companies_data() response = self.client.post('/companies/', data, format='json') get_instances = Companies.objects.all() self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) self.assertEqual(get_instances.count(), 0) def test_can_get_companies(self): data = self.get_companies_data() response = self.client.post('/companies/', data, format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserA)) get_instances = Companies.objects.all() self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(get_instances.count(), 2) def test_cannot_get_companies_if_user_is_not_logged_in(self): data = self.get_companies_data() post_response = self.client.post('/companies/', data, format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserA)) get_response = self.client.get('/companies/', format='json') get_instances = Companies.objects.all() self.assertEqual(post_response.status_code, status.HTTP_201_CREATED) self.assertEqual(get_instances.count(), 2) self.assertEqual(get_response.status_code, status.HTTP_401_UNAUTHORIZED) self.assertNotEqual(len(get_response.data), 2) def test_cannot_get_companies_if_different_user_is_logged_in(self): data = self.get_companies_data() post_response = self.client.post('/companies/', data, format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserA)) get_response = self.client.get('/companies/', format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserB)) get_instances = Companies.objects.all() self.assertEqual(post_response.status_code, status.HTTP_201_CREATED) self.assertEqual(get_instances.count(), 2) self.assertEqual(get_response.status_code, status.HTTP_200_OK) self.assertNotEqual(len(get_response.data), 2) def test_can_patch_if_company_user_is_logged_in(self): data = self.get_companies_data() post_response = self.client.post('/companies/', data, format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserA)) get_instances_before = Companies.objects.get(email="test_company@test.com") patch_response = self.client.patch('/companies/'+str(get_instances_before.companyID)+'/', {"country": "New Country"}, format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserA)) get_instances_after = Companies.objects.get(email="test_company@test.com") self.assertEqual(post_response.status_code, status.HTTP_201_CREATED) self.assertEqual(patch_response.status_code, status.HTTP_200_OK) self.assertEqual(get_instances_before.country, 'Country') self.assertEqual(get_instances_after.country, 'New Country') def test_cannot_patch_if_different_user_logged_in(self): data = self.get_companies_data() post_response = self.client.post('/companies/', data, format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserA)) get_instances_before = Companies.objects.get(email="test_company@test.com") patch_response = self.client.patch('/companies/'+str(get_instances_before.companyID)+'/', {"country": "New Country"}, format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserB)) get_instances_after = Companies.objects.get(email="test_company@test.com") self.assertEqual(post_response.status_code, status.HTTP_201_CREATED) self.assertEqual(patch_response.status_code, status.HTTP_401_UNAUTHORIZED) self.assertEqual(get_instances_before.country, 'Country') self.assertEqual(get_instances_after.country, 'Country') def make_put_request(self, expected_status, user): data = self.get_companies_data() post_response = self.client.post('/companies/', data, format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserA)) get_instances_before = Companies.objects.get(email="test_company@test.com") response = self.client.put('/companies/'+str(get_instances_before.companyID)+'/', { "name": "New Test Company", "email": "new_test_company@test.com", "phone": "+49 123 4567890", "country": "Country", "city": "City", "streetAddress": "City 123 00 B", }, format='json', HTTP_AUTHORIZATION=self.get_token(user)) get_instances_after = Companies.objects.get(companyID=get_instances_before.companyID) self.assertEqual(post_response.status_code, status.HTTP_201_CREATED) self.assertEqual(response.status_code, expected_status) return get_instances_after def test_can_put_if_company_user_is_logged_in(self): get_instances_after = self.make_put_request(status.HTTP_200_OK, self.TestUserA) self.assertEqual(get_instances_after.name, "New Test Company") self.assertEqual(get_instances_after.email, "new_test_company@test.com") self.assertEqual(get_instances_after.phone, "+49 123 4567890") self.assertEqual(get_instances_after.country, "Country") self.assertEqual(get_instances_after.city, "City") self.assertEqual(get_instances_after.streetAddress, "City 123 00 B") def test_cannot_put_if_different_user_is_logged_in(self): get_instances_after = self.make_put_request(status.HTTP_401_UNAUTHORIZED, self.TestUserB) self.assertEqual(get_instances_after.name, "Test Company") self.assertEqual(get_instances_after.email, "test_company@test.com") self.assertEqual(get_instances_after.phone, "+49 123 4567890") self.assertEqual(get_instances_after.country, "Country") self.assertEqual(get_instances_after.city, "City") self.assertEqual(get_instances_after.streetAddress, "City 123 00 B") def check_if_can_delete(self, expected_status, expected_number, expected_total_number, user): data = self.get_companies_data() post_response = self.client.post('/companies/', data, format='json', HTTP_AUTHORIZATION=self.get_token(user)) self.assertEqual(Companies.objects.all().count(), 2) get_instances_before = Companies.objects.get(email="test_company@test.com") delete_response = self.client.delete('/companies/'+str(get_instances_before.companyID)+'/', format='json', HTTP_AUTHORIZATION=self.get_token(self.TestUserA)) get_instances_after = Companies.objects.filter(email="test_company@test.com") self.assertEqual(post_response.status_code, status.HTTP_201_CREATED) self.assertEqual(delete_response.status_code, expected_status) self.assertEqual(get_instances_after.count(), expected_number) self.assertEqual(Companies.objects.all().count(), expected_total_number) def test_can_delete_company(self): self.check_if_can_delete(status.HTTP_200_OK, 0, 1, self.TestUserA) def test_cannot_delete_company_if_wrong_user_logged_in(self): self.check_if_can_delete(status.HTTP_401_UNAUTHORIZED, 1, 2, self.TestUserB) class GetTokenTest(APITestCase): def setUp(self): self.TestUserA = Users.objects.create_user('Test User A', 'test_user_a@test.com', 'testpassword') def test_get_token(self): data = { "username": "Test User A", "password": "testpassword" } post_response = self.client.post('/login/', data, format='json') token = Token.objects.get(user__email = self.TestUserA.email, user__password = self.TestUserA.password) self.assertEqual(post_response.status_code, status.HTTP_200_OK) self.assertEqual(post_response.data['token'], token.key)
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#!/usr/bin/env python import numpy as np import itertools class gameboard(object): def __init__(self): #player 1 puts a "X", player 2 puts a "O" self.g = [[0,0,0],[0,0,0],[0,0,0]] self.grid = np.array(self.g) print(self.grid) def checkWin(self): if ((self.grid.diagonal(0) == 1).all()) or ((np.flipud(self.grid).diagonal(0) == 1).all()): print("X Wins") elif ((self.grid.diagonal(0) == 2).all()) or ((np.flipud(self.grid).diagonal(0) == 2).all()): print("0 Wins") else: for i in range(0,len(self.grid)): self.column = self.grid [:, i] self.row = self.grid [i, :] if (self.row.all() == 1) or (self.column.all() == 1): print("X Wins") elif (self.row.all() == 2) or (self.column.all() == 2): print("O Wins") else: continue print("Keep Playing!") board = gameboard() board.checkWin()
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"""prosper.datareader.intrinio.auth: handle authentication/validation""" import requests from .. import exceptions from .. import config BASE_URL = 'https://api.intrinio.com/' class IntrinioHelper(object): """parent class for handling requests to Intrininio Notes: See https://intrinio.com/account for account keys Args: username (str): username for direct-auth password (str): password for direct-auth public_key (str): API key for indirect access Raises: InvalidAuth: will not be able to access Intrinio feeds """ def __init__(self, username='', password='', public_key='',): self.__user = username self.__password = password self.__public_key = public_key if not bool(self): raise exceptions.InvalidAuth('Lacking required authentication') def request(self, route, params=None, headers=None): """empty metaclass for handling requests""" raise NotImplementedError() def __bool__(self): """validate acceptable auth pattern""" if all([self.__user, self.__password, self.__public_key]): # either/or, not both auth types return False if self.__user and self.__password: # direct auth method self.request = self._direct_auth_request return True if self.__public_key: # public-key method self.request = self._public_key_request return True return False def _direct_auth_request(self, route, params=None, headers=None): """handle HTTP request for direct-auth Args: url (str): url of endpoint to fetch params (dict): param args for endpoint request headers (dict): headers for endpoint request Returns: dict: JSON-parsed response from endpoint Raises: requests.exceptions: connection/HTTP errors """ req = requests.get( url=BASE_URL + route, params=params, headers=headers, auth=(self.__user, self.__password), ) req.raise_for_status() return req.json() def _public_key_request(self, route, params=None, headers=None): """handle HTTP request for public-key Args: url (str): url of endpoint to fetch params (dict): param args for endpoint request headers (dict): headers for endpoint request Returns: dict: JSON-parsed response from endpoint Raises: requests.exceptions: connection/HTTP errors """ if not headers: headers = {} headers = {**headers, 'X-Authorization-Public-Key':self.__public_key} req = requests.get( url=BASE_URL + route, params=params, headers=headers, ) req.raise_for_status() return req.json()
[ "locke.renard@gmail.com" ]
locke.renard@gmail.com
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kkwhatnow/bottwitch
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from clients import * from clientResponse import * import time from pyramid import * from fileBuilder import * #print("it works") login() makesquests() makesrewards() makesfile() #jkdfjk() def mainfile(): while True: respondtoclinet() mainfile() """threads = [] for _ in range(3): t = threading.Thread(target = getsuser) t.start() threads.append for thread in threads: thread.join"""
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/2016/day/11.py
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MasterMedo/aoc
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import re from itertools import combinations, chain from heapq import heappop, heappush generators, microchips = {}, {} with open('../input/11.txt') as f: for floor, line in enumerate(f): for microchip in set(re.findall(r'\w+(?=-comp)', line)): microchips[microchip] = floor for generator in set(re.findall(r'\w+(?=\ gen)', line)): generators[generator] = floor pairs = [(microchips[i], generators[i]) for i in microchips] # pairs.extend([(0, 0)]*2) # uncomment for part 2 pairs = tuple(sorted(pairs)) floor = distance = 0 state = [distance, floor, pairs] to_visit = [] heappush(to_visit, state) visited = set([(pairs, floor)]) while to_visit: distance, floor, pairs = heappop(to_visit) if all(i == 3 for pair in pairs for i in pair): break floors = [[], [], [], []] for element, (x, y) in enumerate(pairs): floors[x].append((element, 0)) # (element_index, type) floors[y].append((element, 1)) if any(i == 0 and (e, 1) not in things and any(j == 1 for _, j in things) for things in floors for e, i in things): continue candidates = floors[floor] for floor in {min(floor + 1, 3), max(floor - 1, 0)} - set([floor]): for things in chain(map(lambda x: [x], candidates), combinations(candidates, 2)): new_pairs = tuple(sorted(tuple(floor if (e, i) in things else old for i, old in enumerate(pair)) for e, pair in enumerate(pairs))) if (new_pairs, floor) not in visited: heappush(to_visit, (distance + 1, floor, new_pairs)) visited.add((new_pairs, floor)) print(distance)
[ "mislav.vuletic@gmail.com" ]
mislav.vuletic@gmail.com
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itsabisek/polls-app
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from .User import User from .Answered import Answered from .Question import Question from .Choice import Choice
[ "avisekmishra81@ymail.com" ]
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mvn23/bluetooth_dbus_tracker
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"""Tracking for BT and BT LE devices.""" import logging import voluptuous as vol import homeassistant.helpers.config_validation as cv from homeassistant.components.device_tracker import PLATFORM_SCHEMA, see from homeassistant.components.device_tracker.config_entry import ScannerEntity from homeassistant.components.device_tracker.const import ( CONF_TRACK_NEW, CONF_SCAN_INTERVAL, SCAN_INTERVAL, DEFAULT_TRACK_NEW, SOURCE_TYPE_BLUETOOTH, DOMAIN, ) from homeassistant.const import CONF_DEVICE, EVENT_HOMEASSISTANT_STOP import homeassistant.util.dt as dt_util from pydbus import SystemBus from gi.repository import GLib from xml.etree import ElementTree from threading import Thread import asyncio _LOGGER = logging.getLogger(__name__) BTD_PREFIX = "BTD_" DATA_BT_DBUS_TRACKER = 'bluetooth_dbus_tracker' async def async_setup_scanner(hass, config, async_see, discovery_info): """Setup device tracker platform.""" scanner = BluetoothDBusScanner(hass, config) hass.data[DATA_BT_DBUS_TRACKER] = { 'scanner': scanner, 'devices': [] } scanner.start() return True class BluetoothDBusScanner(): """Bluetooth DBus Scanner.""" def __init__(self, hass, config): """Initialize the tracker.""" self.hass = hass self._bus = SystemBus() self._devname = config.get(CONF_DEVICE, 'hci0') self._dev = self._bus.get("org.bluez", self._devname) self._glib_loop = GLib.MainLoop() self._subscription = self._bus.subscribe( object="/", iface="org.freedesktop.DBus.ObjectManager", signal="InterfacesAdded", signal_fired=self.device_detected) def start(self): """Collect and report detected devices.""" _LOGGER.debug("Starting bluetooth_dbus scan task.") self.clear_all_devices() self._dev.SetDiscoveryFilter({}) self._dev.StartDiscovery() self._scanner = ScannerThread(self._glib_loop) async def run_scan(): """Start scanning thread and listen for HA stop.""" async def stop(event): """Handle HA stop.""" self._scanner.stop() self._scanner.join() self.hass.bus.async_listen(EVENT_HOMEASSISTANT_STOP, stop) self._scanner.start() self.hass.loop.create_task(run_scan()) def device_detected(self, sender, object, iface, signal, params): """Handle detected device.""" device = params[1]['org.bluez.Device1'] mac = device['Address'] rssi = device['RSSI'] see(self.hass, mac, host_name=device['Alias'], attributes={'friendly_name': device['Alias'], 'source_type': SOURCE_TYPE_BLUETOOTH, 'rssi': rssi}) self._dev.RemoveDevice(params[0]) def clear_all_devices(self): """Clear the list of current devices on the adapter.""" for child in ElementTree.fromstring(self._dev.Introspect()): if child.tag == 'node': self._dev.RemoveDevice( "/org/bluez/hci0/{}".format(child.attrib["name"])) class ScannerThread(Thread): """Bluetooth DBus device scanner thread.""" def __init__(self, glib_loop): """Initialize scanner values.""" super().__init__() self._glib_loop = glib_loop def run(self): """Start the scanner.""" self._glib_loop.run() def stop(self): self._glib_loop.quit()
[ "schopdiedwaas@gmail.com" ]
schopdiedwaas@gmail.com
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zeen-du/leetcode
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# Definition for singly-linked list. # class ListNode: # def __init__(self, x): # self.val = x # self.next = None class Solution: """ 给定一个链表,判断链表中是否有环。 如果链表中有某个节点,可以通过连续跟踪 next 指针再次到达,则链表中存在环。 为了表示给定链表中的环,我们使用整数 pos 来表示链表尾连接到链表中的位置(索引从 0 开始)。 如果 pos 是 -1,则在该链表中没有环。注意:pos 不作为参数进行传递,仅仅是为了标识链表的实际情况。 如果链表中存在环,则返回 true 。 否则,返回 false 。 进阶: 你能用 O(1)(即,常量)内存解决此问题吗? 示例 1: 输入:head = [3,2,0,-4], pos = 1 输出:true 解释:链表中有一个环,其尾部连接到第二个节点。 示例 2: 输入:head = [1,2], pos = 0 输出:true 解释:链表中有一个环,其尾部连接到第一个节点。 """ def hasCycle(self, head) -> bool: a = set() while head: if head in a: return True a.add(head) head = head.next return False def hasCycle_2(self, head) -> bool: if not head or not head.next: return False fast, slow = head.next, head while fast and fast.next: if fast == slow: return True fast = fast.next.next slow = slow.next return False if __name__ == '__main__': dic = {'a': '1'} if dic.get('1'): print(1)
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/ABC/ABC134/D.py
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pto8913/KyoPro
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N = int(input()) A = list(map(int,input().split())) box = [0] * (N+1) res = [] for i in range(1, N+1)[::-1]: s = 0 for j in range(1, N // i): s += box[(j+1)*i] if s % 2 != A[i-1]: box[i] = 1 res.append(i) print(len(res)) print(*res)
[ "noreply@github.com" ]
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#!/usr/bin/python3 """ Main file for testing """ isWinner = __import__('0-prime_game').isWinner nums = [0] * 10000 for i in range(10000): nums[i] = i print("Winner: {}".format(isWinner(10000, nums)))
[ "icculp@gmail.com" ]
icculp@gmail.com
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/anken_project/cms/admin.py
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ryuji-nakazato/repositry
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2023-01-06T22:25:27.416710
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from django.contrib import admin from cms.models import Anken, Sintyoku # Register your models here. # admin.site.register(Anken) class AnkenAdmin(admin.ModelAdmin): list_display = ('id', 'enduser', 'hansha',) list_display_links = ('id', 'enduser', 'hansha',) admin.site.register(Anken, AnkenAdmin) class SintyokuAdmin(admin.ModelAdmin): list_display = ('id', 'kinyubi', 'shosai',) list_display_links = ('id', 'kinyubi', 'shosai',) admin.site.register(Sintyoku, SintyokuAdmin)
[ "zhonglilonger@nakasatoryuujinoMacBook-Pro.local" ]
zhonglilonger@nakasatoryuujinoMacBook-Pro.local
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/Week 4/Face Recognition Project/face_data_collect.py
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no_license
Vishnusankar98/AI-Mafia---Machine-Learning
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# Write a Python Script that captures images from your webcam video stream # Extracts all Faces from the image frame (using haarcascades) # Stores the Face information into numpy arrays # 1. Read and show video stream, capture images # 2. Detect Faces and show bounding box (haarcascade) # 3. Flatten the largest face image(gray scale) and save in a numpy array # 4. Repeat the above for multiple people to generate training data import cv2 import numpy as np #Init Camera cap = cv2.VideoCapture(0) # Face Detection face_cascade = cv2.CascadeClassifier("F:\Machine Learning\git\AI-Mafia---Machine-Learning\Week 4\Face Recognition Project\\haarcascade_frontalface_alt.xml") skip = 0 face_data = [] dataset_path = 'F:\Machine Learning\git\AI-Mafia---Machine-Learning\Week 4\Face Recognition Project\data' file_name = input("Enter the name of the person : ") while True: ret,frame = cap.read() if ret==False: continue gray_frame = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(frame,1.3,5) if len(faces)==0: continue faces = sorted(faces,key=lambda f:f[2]*f[3]) # Pick the last face (because it is the largest face acc to area(f[2]*f[3])) for face in faces[-1:]: x,y,w,h = face cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,255),2) #Extract (Crop out the required face) : Region of Interest offset = 10 face_section = frame[y-offset:y+h+offset,x-offset:x+w+offset] face_section = cv2.resize(face_section,(100,100)) skip += 1 if skip%10==0: face_data.append(face_section) print(len(face_data)) cv2.imshow("Frame",frame) cv2.imshow("Face Section",face_section) key_pressed = cv2.waitKey(1) & 0xFF if key_pressed == ord('q'): break # Convert our face list array into a numpy array face_data = np.asarray(face_data) face_data = face_data.reshape((face_data.shape[0],-1)) print(face_data.shape) # Save this data into file system np.save(dataset_path+"\\"+file_name+'.npy',face_data) print("Data Successfully save at "+dataset_path+file_name+'.npy') cap.release() cv2.destroyAllWindows()
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#!/usr/bin/env python3 import sys import re import argparse import subprocess from pathlib import Path from snakemake.utils import read_job_properties parser = argparse.ArgumentParser(add_help=False) parser.add_argument( "--help", help="Display help message.", action="store_true") parser.add_argument( "positional", action="append", nargs="?", metavar="POS", help="additional arguments not in slurm parser group to pass to sbatch") # A subset of SLURM-specific arguments slurm_parser = parser.add_argument_group("slurm-specific arguments") slurm_parser.add_argument( "-a", "--array", help="job array index values") slurm_parser.add_argument( "-A", "--account", help="charge job to specified account") slurm_parser.add_argument( "--begin", help="defer job until HH:MM MM/DD/YY") slurm_parser.add_argument( "-c", "--cpus-per-task", help="number of cpus required per task") slurm_parser.add_argument( "-d", "--dependency", help="defer job until condition on jobid is satisfied") slurm_parser.add_argument( "-D", "--workdir", help="set working directory for batch script") slurm_parser.add_argument( "-e", "--error", help="file for batch script's standard error") slurm_parser.add_argument( "-J", "--job-name", help="name of job") slurm_parser.add_argument( "--mail-type", help="notify on state change: BEGIN, END, FAIL or ALL") slurm_parser.add_argument( "--mail-user", help="who to send email notification for job state changes") slurm_parser.add_argument( "-n", "--ntasks", help="number of tasks to run") slurm_parser.add_argument( "-N", "--nodes", help="number of nodes on which to run (N = min[-max])") slurm_parser.add_argument( "-o", "--output", help="file for batch script's standard output") slurm_parser.add_argument( "-p", "--partition", help="partition requested") slurm_parser.add_argument( "-q", "--qos", help="quality of service") slurm_parser.add_argument( "-Q", "--quiet", help="quiet mode (suppress informational messages)") slurm_parser.add_argument( "-t", "--time", help="time limit") slurm_parser.add_argument( "--wrap", help="wrap command string in a sh script and submit") slurm_parser.add_argument( "-C", "--constraint", help="specify a list of constraints") slurm_parser.add_argument( "--mem", help="minimum amount of real memory") args = parser.parse_args() if args.help: parser.print_help() sys.exit(0) jobscript = sys.argv[-1] job_properties = read_job_properties(jobscript) extras = "" if args.positional: for m in args.positional: if m is not None: extras = extras + " " + m arg_dict = dict(args.__dict__) # Process resources if "resources" in job_properties: resources = job_properties["resources"] if arg_dict["time"] is None: if "runtime" in resources: arg_dict["time"] = resources["runtime"] elif "walltime" in resources: arg_dict["time"] = resources["walltime"] if "mem" in resources and arg_dict["mem"] is None: arg_dict["mem"] = resources["mem"] # Threads if "threads" in job_properties: arg_dict["ntasks"] = job_properties["threads"] opt_keys = {"array", "account", "begin", "cpus_per_task", "depedency", "workdir", "error", "job_name", "mail_type", "mail_user", "ntasks", "nodes", "output", "partition", "quiet", "time", "wrap", "constraint", "mem"} # Set default partition if arg_dict["partition"] is None: # partitions and SLURM - If not specified, the default behavior is to # allow the slurm controller to select the default partition as # designated by the system administrator. opt_keys.remove("partition") # NOT APPLICABLE FOR CTMR UCP #### Set default account ###if arg_dict["account"] is None: ### raise Exception("Cannot submit Slurm jobs without account!") # Ensure output folder for Slurm log files exist # This is a bit hacky; it will try to create the folder # for every Slurm submission... if "output" in arg_dict: stdout_folder = Path(arg_dict["output"]).parent stdout_folder.mkdir(exist_ok=True, parents=True) if "error" in arg_dict: stdout_folder = Path(arg_dict["error"]).parent stdout_folder.mkdir(exist_ok=True, parents=True) opts = "" for k, v in arg_dict.items(): if k not in opt_keys: continue if v is not None: opts += " --{} \"{}\" ".format(k.replace("_", "-"), v) if arg_dict["wrap"] is not None: cmd = "sbatch {opts}".format(opts=opts) else: cmd = "sbatch {opts} {extras}".format(opts=opts, extras=extras) try: res = subprocess.run(cmd, check=True, shell=True, stdout=subprocess.PIPE) except subprocess.CalledProcessError as e: raise e # Get jobid res = res.stdout.decode() try: m = re.search("Submitted batch job (\d+)", res) jobid = m.group(1) print(jobid) except Exception as e: print(e) raise
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import os import tempfile from six import StringIO from conans.client.runner import ConanRunner from conans.model.version import Version from conans.util.files import rmdir GCC = "gcc" LLVM_GCC = "llvm-gcc" # GCC frontend with LLVM backend CLANG = "clang" APPLE_CLANG = "apple-clang" SUNCC = "suncc" VISUAL_STUDIO = "Visual Studio" INTEL = "intel" QCC = "qcc" MCST_LCC = "mcst-lcc" MSVC = "msvc" class CompilerId(object): """ compiler identification description, holds compiler name, full version and other important properties """ def __init__(self, name, major, minor, patch): self._name = name self._major = major self._minor = minor self._patch = patch self._version = Version(self.version) @property def name(self): return self._name @property def major(self): return self._major @property def minor(self): return self._minor @property def patch(self): return self._patch @property def version(self): return "%s.%s.%s" % (self._major, self._minor, self._patch) @property def major_minor(self): return "%s.%s" % (self._major, self._minor) def __str__(self): return "%s %s" % (self._name, self.version) def __repr__(self): return self.__str__() def __eq__(self, other): return self.name == other.name and self._version == other._version def __ne__(self, other): return not self.__eq__(other) UNKNOWN_COMPILER = CompilerId(None, None, None, None) # convert _MSC_VER to the corresponding Visual Studio version MSVC_TO_VS_VERSION = {800: (1, 0), 900: (2, 0), 1000: (4, 0), 1010: (4, 1), 1020: (4, 2), 1100: (5, 0), 1200: (6, 0), 1300: (7, 0), 1310: (7, 1), 1400: (8, 0), 1500: (9, 0), 1600: (10, 0), 1700: (11, 0), 1800: (12, 0), 1900: (14, 0), 1910: (15, 0), 1911: (15, 3), 1912: (15, 5), 1913: (15, 6), 1914: (15, 7), 1915: (15, 8), 1916: (15, 9), 1920: (16, 0), 1921: (16, 1), 1922: (16, 2), 1923: (16, 3), 1924: (16, 4), 1925: (16, 5), 1926: (16, 6), 1927: (16, 7), 1928: (16, 8), 1929: (16, 10), 1930: (17, 0)} def _parse_compiler_version(defines): try: if '__LCC__' in defines and '__e2k__' in defines: compiler = MCST_LCC version = int(defines['__LCC__']) major = int(version / 100) minor = int(version % 100) patch = int(defines['__LCC_MINOR__']) elif '__INTEL_COMPILER' in defines: compiler = INTEL version = int(defines['__INTEL_COMPILER']) major = int(version / 100) minor = int(version % 100) patch = int(defines['__INTEL_COMPILER_UPDATE']) elif '__clang__' in defines: compiler = APPLE_CLANG if '__apple_build_version__' in defines else CLANG major = int(defines['__clang_major__']) minor = int(defines['__clang_minor__']) patch = int(defines['__clang_patchlevel__']) elif '__SUNPRO_C' in defines or '__SUNPRO_CC' in defines: # In particular, the value of __SUNPRO_CC, which is a three-digit hex number. # The first digit is the major release. The second digit is the minor release. # The third digit is the micro release. For example, C++ 5.9 is 0x590. compiler = SUNCC define = '__SUNPRO_C' if '__SUNPRO_C' in defines else '__SUNPRO_CC' version = int(defines[define], 16) major = (version >> 8) & 0xF minor = (version >> 4) & 0xF patch = version & 0xF # MSVC goes after Clang and Intel, as they may define _MSC_VER elif '_MSC_VER' in defines: version = int(defines['_MSC_VER']) full_version = 0 if '_MSC_FULL_VER' in defines: full_version = int(defines['_MSC_FULL_VER']) # Visual Studio 2022 onwards, detect as a new compiler "msvc" if version >= 1930: compiler = MSVC major = int(version / 100) minor = int(version % 100) patch = int(full_version % 100000) else: compiler = VISUAL_STUDIO # map _MSC_VER into conan-friendly Visual Studio version # currently, conan uses major only, but here we store minor for the future as well # https://docs.microsoft.com/en-us/cpp/preprocessor/predefined-macros?view=vs-2019 major, minor = MSVC_TO_VS_VERSION.get(version) # special cases 19.8 and 19.9, 19.10 and 19.11 if (major, minor) == (16, 8) and full_version >= 192829500: major, minor = 16, 9 if (major, minor) == (16, 10) and full_version >= 192930100: major, minor = 16, 11 patch = 0 # GCC must be the last try, as other compilers may define __GNUC__ for compatibility elif '__GNUC__' in defines: if '__llvm__' in defines: compiler = LLVM_GCC elif '__QNX__' in defines: compiler = QCC else: compiler = GCC major = int(defines['__GNUC__']) minor = int(defines['__GNUC_MINOR__']) patch = int(defines['__GNUC_PATCHLEVEL__']) else: return UNKNOWN_COMPILER return CompilerId(compiler, major, minor, patch) except KeyError: return UNKNOWN_COMPILER except ValueError: return UNKNOWN_COMPILER except TypeError: return UNKNOWN_COMPILER def detect_compiler_id(executable, runner=None): runner = runner or ConanRunner() # use a temporary file, as /dev/null might not be available on all platforms tmpdir = tempfile.mkdtemp() tmpname = os.path.join(tmpdir, "temp.c") with open(tmpname, "wb") as f: f.write(b"\n") cmd = os.path.join(tmpdir, "file.cmd") with open(cmd, "wb") as f: f.write(b"echo off\nset MSC_CMD_FLAGS\n") detectors = [ # "-dM" generate list of #define directives # "-E" run only preprocessor # "-x c" compiler as C code # the output is of lines in form of "#define name value" "-dM -E -x c", "--driver-mode=g++ -dM -E -x c", # clang-cl "-c -xdumpmacros", # SunCC, # cl (Visual Studio, MSVC) # "/nologo" Suppress Startup Banner # "/E" Preprocess to stdout # "/B1" C front-end # "/c" Compile Without Linking # "/TC" Specify Source File Type '/nologo /E /B1 "%s" /c /TC' % cmd, "/QdM /E /TC" # icc (Intel) on Windows, "-Wp,-dM -E -x c" # QNX QCC ] try: for detector in detectors: command = '%s %s "%s"' % (executable, detector, tmpname) result = StringIO() if 0 == runner(command, output=result): output = result.getvalue() defines = dict() for line in output.splitlines(): tokens = line.split(' ', 3) if len(tokens) == 3 and tokens[0] == '#define': defines[tokens[1]] = tokens[2] # MSVC dumps macro definitions in single line: # "MSC_CMD_FLAGS=-D_MSC_VER=1921 -Ze" elif line.startswith("MSC_CMD_FLAGS="): line = line[len("MSC_CMD_FLAGS="):].rstrip() defines = dict() tokens = line.split() for token in tokens: if token.startswith("-D") or token.startswith("/D"): token = token[2:] if '=' in token: name, value = token.split('=', 2) else: name, value = token, '1' defines[name] = value break compiler = _parse_compiler_version(defines) if compiler == UNKNOWN_COMPILER: continue return compiler return UNKNOWN_COMPILER finally: try: rmdir(tmpdir) except OSError: pass
[ "noreply@github.com" ]
noreply@github.com
2c87cee9e1d13a9368205d2240e3e31a642a0792
960a04c253323c39a4e479ef301c8f90ac887ee4
/iterations.py
ee2c2068ebc45065e887728cc0d2964ef8862581
[]
no_license
nrsalinas/kba_colombia
b3bacefb38e4ee429a3ab27c5d387893bf05eec4
f35ca5a07d7df1c4e654289fae365f5f4ec29069
refs/heads/main
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#!/usr/bin/env python # coding: utf-8 # # Candidate KBA delimitation of Colombian flora # # ## Analysis iterations experiments # # These experiments perform several Ackbar analyses to explore the effect of the number of search repetitions. # In[1]: import subprocess from shutil import rmtree from os import walk, mkdir # In[3]: analysis_folder = "/home/nelson/Data/kba/colombia/analyses/iterations/" ackbar_bin = "/home/nelson/Data/kba/ackbar/ackbar.py" # In[4]: iters = [x for x in range(1000, 10001, 1000)] # ## Analysis execution # In[4]: rmtree(analysis_folder) mkdir(analysis_folder) # In[5]: config_text = """ distribution_file = /home/nelson/Data/kba/colombia/amenazadas_ocurrencias.csv iucn_file = /home/nelson/Data/kba/colombia/amenazadas_categorias.csv taxonomic_groups_file = taxonomic_assignments_file = /home/nelson/Data/kba/colombia/amenazadas_grupos.csv kba_species_file = /home/nelson/Data/kba/colombia/Colombia_IBA_trigger_species.csv kba_directory = /home/nelson/Dropbox/Humboldt/Postdoc/KBA_by_IUCN/Colombia_KBA kba_index = SitRecID outfile_root = {0} overwrite_output = True cell_size = 0.2 offset_lat = 0.1 offset_lon = 0.1 focal_area_directory = pop_max_distance = 0 eps = 0.2 iters = {1} max_kba = 50 congruency_factor = 12""" # In[7]: for i in iters: root = "{0}iterations_{1}".format(analysis_folder, str(i)) tct = config_text.format(root, str(i)) config_file = "{0}iterations_{1}.txt".format(analysis_folder, str(i)) with open(config_file, "w") as fh: fh.write(tct) ackbargs = [ackbar_bin, config_file] out, err = None, None with subprocess.Popen(ackbargs, stdout=subprocess.PIPE, stderr=subprocess.PIPE) as pr: out, err = pr.communicate() if len(err) > 0: print(err.decode('utf8'))
[ "nrsalinas@gmail.com" ]
nrsalinas@gmail.com
53a246f0ef21f6823dbb2732c45f77dba9003be1
c32a7ac0debdcbbf7f60f886a9a5a19162dcfac0
/web/config.py
c21205973caacccb332dcdcdda9e1182bf164e95
[]
no_license
JoeNaso/slackbot
33da59150e96ff542e92cfec853e1f0d3b7b1eb7
86f421a4065201c00968135e49954c838f8f6979
refs/heads/master
2021-01-16T23:17:56.620323
2018-04-28T15:56:21
2018-04-28T15:56:21
60,014,267
0
0
null
2018-04-28T15:56:22
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Python
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py
import os class BaseConfig(object): """ Some basic subclassing for different configuration defaults """ DEBUG = os.environ.get('DEBUG', True) APP_ROOT = os.path.dirname(os.path.abspath(__file__)) SLACK_WEBHOOK_SECRET = os.environ.get('SLACK_OAUTH_TOKEN')
[ "joe@pymetrics.com" ]
joe@pymetrics.com
5ffb95cfb317427c640fc91a21ca697de1737357
3476bd39324b6231db7a52204b9ad7c3bd7c73e0
/MelodicManager/MelodicManager/settings.py
c38641192de3d9b80d45b3a201dbc66dc53f2eb7
[]
no_license
V3rita2/django-fett
9411fa8569353fe8642b95333a824bd55455aced
e1beaca967c48db4ac8b8a237bb4faf323143767
refs/heads/main
2023-09-04T10:32:26.930301
2021-11-13T01:29:56
2021-11-13T01:29:56
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""" Django settings for MelodicManager project. Generated by 'django-admin startproject' using Django 3.2.9. For more information on this file, see https://docs.djangoproject.com/en/3.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.2/ref/settings/ """ from pathlib import Path # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'django-insecure-d87afkm^ww)iywixzak425c-11s9)(umrhq7i9^4t9)r(tp#ys' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'mercenary', 'rest_framework', 'frontend' ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'MelodicManager.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'MelodicManager.wsgi.application' # Database # https://docs.djangoproject.com/en/3.2/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql', 'NAME': 'melody', } } # Password validation # https://docs.djangoproject.com/en/3.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.2/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.2/howto/static-files/ STATIC_URL = '/static/' # Default primary key field type # https://docs.djangoproject.com/en/3.2/ref/settings/#default-auto-field DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
[ "rose.daemon.belmont@gmail.com" ]
rose.daemon.belmont@gmail.com
3c4037dbf22565124a5362f5276316ae33b62c84
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/PGCD.py
f1c76c9c6c49836e1d0db7c20f3d10de15a9463e
[]
no_license
sybile2/programmes-simples
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f6a1e591931668635dd67c4dbde3a1751d9fcee4
refs/heads/master
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2020-02-08T03:27:33
2020-02-08T03:27:33
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#calcule le pgcd de deux nombres entiers n = 490 m = 490 r = 12 pgcd = 1 if m == n: pgcd = n print ("Le PGCD est : ",pgcd) else : if m > n : t = n n = m m = t while r != 0: r = n % m if r != 0: n = m m = r if r == 0: pgcd = m print ("Le PGCD est : ",pgcd)
[ "sybile.nivon@gmail.com" ]
sybile.nivon@gmail.com
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560a8e87d0cec7023f09b0b0f26a3aabb4c19591
/main.py
add4eac7882d12a7f788f777f2daeb0c78cfde8e
[ "MIT" ]
permissive
kcsaff/tuneharvest
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refs/heads/master
2021-01-01T05:11:31.009480
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2017-06-27T00:55:19
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from tuneharvest.commands import main if __name__ == '__main__': main()
[ "kc@saff.net" ]
kc@saff.net
ef6edffa5739159ce79c62b1b314465c017e7217
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/in.py
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[]
no_license
2923mark/Python_learn
a8932f80fe12ccc5d7d0e55b1608e801987ed4f7
405bcb70deb1c9ac6477de37e6e05b55e9ef2e3a
refs/heads/master
2021-01-01T06:27:15.917088
2013-08-13T18:59:45
2013-08-13T18:59:45
null
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#!/usr/bin/python Users = ['mlh', 'foo', 'bar'] raw_input ('Enter your user name:') in Users
[ "mark.andrew.nelson@gmail.com" ]
mark.andrew.nelson@gmail.com
b037acec6b8d10e4dd776eb91212241541d109c2
a6ec6c2c9ba9c8cdea64062faad1be9e75d7d529
/keyboard_small.py
b64d23628bc132c252d3af162695bc523f1b49f2
[]
no_license
lamer112311/FTG-Modules
955c25b9b99a4ef9b46aa32b3cd8ede3b36e755c
146917515722161b07c89814d35204f4290b6ec2
refs/heads/master
2023-01-06T22:00:38.407464
2020-11-08T08:21:30
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py
# Friendly Telegram (telegram userbot) # Copyright (C) 2018-2019 The Authors # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License for more details. # SUBSCRIBE TO t.me/keyzend pls # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see <https://www.gnu.org/licenses/>. from .. import loader, utils import logging import asyncio from PIL import Image, ImageOps from io import BytesIO from base64 import b64decode as b64 logger = logging.getLogger(__name__) @loader.tds class CodefyMod(loader.Module): """Makes message monospace""" strings = {"name": "Keyboard typer"} @loader.ratelimit async def keyboardcmd(self, message): """.keyboard текст""" uinp = utils.get_args(message) if not uinp: get = await message.get_reply_message() if not get: uinp = '`1234567890-=\][poiuytrewqasdfghjkl;\'\n/.,mnbvcxz ' else: uinp = get.raw_text else: uinp = " ".join(uinp) text = uinp.lower().strip() if len(text) == 0: text = '`1234567890-=\][poiuytrewqasdfghjkl;\'\n/.,mnbvcxz ' await message.edit(' '.join([f'<code>{typing}</code>' for typing in 'Дрочу...'])) keys = {'`': (38, 16), '~': (38, 16), 'ё': (38, 16), '1': (228, 16), '!': (228, 16), '2': (417, 16), '@': (417, 16), '3': (606, 16), '#': (606, 16), '№': (606, 16), '4': (795, 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extra = {' ': 1230, '\\': 261, '|': 261, '/': 261, '\n': 393, 'no_on_keyboard': 218} keyboard = Image.open(BytesIO(b64(keyboard_bytes))) frames = [] for bykva in text: temp = keyboard.copy() if bykva not in keys: bykva = 'no_on_keyboard' xp, yp = keys[bykva] length = 180 if bykva in extra: length = extra[bykva] pressed = temp.crop((xp, yp, xp + length, yp + 180)) pressed = ImageOps.invert(pressed) temp.paste(pressed, (xp, yp)) frames.append(temp) output = BytesIO() output.name = "кончил.gif" keyboard.save(output, "GIF", save_all=True, append_images=frames, duration=250, optimize=True) output.seek(0) await message.delete() await message.client.send_file(message.to_id, output)
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from .element import Element class Sample(Element): """ Represents deui-examples output from computer program. """ def __str__(self): return "samp"
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# coding=utf-8 from __future__ import absolute_import from django.shortcuts import render from store.exceptions import NiceException import functools from editstore.objects import drivers, SpaceDriver from editstore import models from django.shortcuts import get_object_or_404 from editstore import exceptions from common.utils import wrap_nice_exceptions from django.shortcuts import redirect from common import messages from surround.django.logging import setupModuleLogger setupModuleLogger(globals()) wrap_edition_errors = wrap_nice_exceptions def fetch_from_dict(kwargs, key): value = kwargs[key] del kwargs[key] return value def space_method(must_have_write=None, must_have_read=True): def decorator(view): @functools.wraps(view) def wrapper(request, **kwargs): spaceid = fetch_from_dict(kwargs, 'spaceid') space = get_object_or_404(models.Space, identifier=spaceid) space_driver = SpaceDriver.bind_db_object(space, user=request.user) kwargs['space_driver'] = space_driver if must_have_read is True: space_driver.raise_for_read_perm() if must_have_write is True: space_driver.raise_for_write_perm() return view(request, **kwargs) return wrapper return decorator def driver_method(must_exist=True, must_have_write=None, must_have_read=True, category=None, use_space=True, redirect_missing=False): def decorator(view): @functools.wraps(view) def wrapper(request, **kwargs): if use_space: space = get_object_or_404(models.Space, identifier=fetch_from_dict(kwargs, 'spaceid')) else: space = None driver = drivers.bind( fetch_from_dict(kwargs, 'category') if category is None else category, fetch_from_dict(kwargs, 'identifier'), fetch_from_dict(kwargs, 'version'), request.user, space=space, ) if must_exist is True: try: driver.raise_for_exists() except exceptions.DoesNotExist as e: if redirect_missing and request.method == 'GET': driver_class = drivers.get(driver.category) messages.info(request, u'%s %s, wersja %s nie znajduje się w edycji online' % (driver_class.nice_name, driver.identifier, driver.version), extra_tags='danger') return redirect('editres.views.listing', driver.spaceid, driver.category) raise if use_space: driver.raise_for_space() if must_exist is False: if driver.exists: raise exceptions.ObjectAlreadyExist('%s %s/%s already exists' % (driver.category, driver.identifier, driver.version)) if must_have_read is True: driver.raise_for_read_perm() if must_have_write is True: driver.raise_for_write_perm() kwargs['driver'] = driver return view(request, **kwargs) return wrapper return decorator
[ "kontakt@epodreczniki.pl" ]
kontakt@epodreczniki.pl
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#! /usr/bin/env python import sys from PIL import Image import cgi, cgitb print "Content-Type: image/png\n" background = Image.open("space.png") bw, bh = background.size img = Image.open("floor-hole.png") img = img.convert("RGBA") data = img.getdata() h = img.size[0] * bh / bw background = background.resize((img.size[0], h), Image.ANTIALIAS) bgdata = background.getdata() newdata = [] p = 0 #if h > img.size[1]: # p = img.size[0] * (h - img.size[1]) for item in data: if p < len(bgdata) and item[0] == 255 and item[1] == 0 and item[2] == 255: newdata.append(bgdata[p] + (255,)) else: newdata.append(item) p += 1 img.putdata(newdata) img.save(sys.stdout, "PNG")
[ "ericwillisson@gmail.com" ]
ericwillisson@gmail.com
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solved_sudoku = [ [4,8,9,2,6,3,1,5,7], [1,3,6,5,7,8,2,9,4], [5,7,2,4,9,1,6,8,3], [8,1,9,3,4,2,7,6,5], [6,5,3,8,1,7,9,4,2], [2,4,7,6,5,9,8,3,1], [7,6,1,9,3,5,4,2,8], [9,8,5,1,2,4,3,7,6], [3,2,4,7,8,6,5,1,9] ] def small_square_checker(sudoku, s_s, i) -> bool: small_square = set() for row in range(s_s[i][0][0], s_s[i][0][1]): for col in range(s_s[i][1][0], s_s[i][1][1]): small_square.add(sudoku[row][col]) if len(small_square) == 9: return True return False def full_rows_checked(sudoku) -> bool: full_row = set() for row in range(9): for col in range(9): full_row.add(sudoku[row][col]) if len(full_row) != 9: return False return True def full_cols_checked(sudoku) -> bool: full_col = set() for col in range(9): for row in range(9): full_col.add(sudoku[col][row]) if len(full_col) != 9: return False return True def row_and_col_checker(sudoku): if full_rows_checked(sudoku) and full_cols_checked(sudoku): return True return False def sudoku_checker(sudoku) -> bool: checks = 0 s_s = [[(0,3),(0,3)], [(0,3),(3,6)], [(0,3),(6,9)], [(3,6),(0,3)], [(3,6),(3,6)], [(3,6),(6,9)], [(6,9),(0,3)], [(6,9),(3,6)], [(6,9),(6,9)], ] # checking big square rows and cols if row_and_col_checker(sudoku): checks += 1 # checking small squares for i in range(9): if small_square_checker(sudoku[s_s[i][0][0]:s_s[i][0][1]][s_s[i][1][0]:s_s[i][1][1]], s_s, i): checks += 1 if checks == 10: return True return False print(sudoku_checker(solved_sudoku))
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# Generated by Django 3.0.2 on 2020-01-16 11:14 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Tweet', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tweet', models.CharField(max_length=280)), ('url', models.CharField(max_length=280)), ], ), migrations.CreateModel( name='Code', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('q1', models.BooleanField(help_text='Does the tweet or the linked source have anything to do with the societal discussion around vaccines? (If not, continue to next tweet)', verbose_name='q1')), ('q2', models.BooleanField(help_text='Is the source that is shared in the tweet still available? (If not, continue to next tweet)', verbose_name='q2')), ('q3', models.BooleanField(help_text='Does the tweet contain any text next to the link?', verbose_name='q3')), ('q4', models.BooleanField(help_text='Does the tweet contain any text next to the title of the shared link?', verbose_name='q4')), ('q5', models.IntegerField(choices=[(0, 'The source does not contain a discernible opinion on vaccines'), (1, 'Strongly Against'), (2, 'Against'), (3, 'Neutral'), (4, 'In Favor'), (5, 'Strongly In Favor')], help_text='To what extent would you describe the source as in favor or against the use of vaccines?', verbose_name='q5')), ('q6', models.IntegerField(choices=[(0, 'The tweet does not contain a discernible opinion on vaccines'), (1, 'Strongly Against'), (2, 'Against'), (3, 'Neutral'), (4, 'In Favor'), (5, 'Strongly In Favor')], help_text='To what extent would you describe the tweet as in favor or against the use of vaccines?', verbose_name='q6')), ('q7', models.IntegerField(choices=[(0, 'The tweet does not contain a discernible opinion towards the source'), (1, 'Strongly disagrees'), (2, 'disagrees'), (3, 'Neutral'), (4, 'Agrees'), (5, 'Strongly agrees')], help_text='To what extent does the tweet (dis)agreement with the source?', verbose_name='q7')), ('q8', models.IntegerField(choices=[(0, 'The tweet does not contain a discernible opinion towards the source'), (1, 'Very Negative'), (2, 'Negative'), (3, 'Neutral'), (4, 'Positive'), (5, 'Very positive')], help_text='To what extent would you describe the tweet as positive or negative towards the source?', verbose_name='q8')), ('q9', models.IntegerField(choices=[(1, '1'), (2, '2'), (3, '3'), (4, '4'), (5, '5')], help_text='On a scale from 1 to 5, to what extent does the tweet express feelings of enthusiasm?', verbose_name='q9')), ('q10', models.IntegerField(choices=[(1, '1'), (2, '2'), (3, '3'), (4, '4'), (5, '5')], help_text='On a scale from 1 to 5, to what extent does the tweet express feelings of anger?', verbose_name='q10')), ('q11', models.IntegerField(choices=[(1, '1'), (2, '2'), (3, '3'), (4, '4'), (5, '5')], help_text='On a scale from 1 to 5, to what extent does the tweet express feelings of fear?', verbose_name='q11')), ('tweet', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='alacode.Tweet')), ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], options={ 'unique_together': {('tweet', 'user')}, }, ), ]
[ "noreply@github.com" ]
noreply@github.com
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[]
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s1=input('Enter a string') c1=0 c2=0 for i in s1: if(i.islower()): c1=c1+1 elif(i.isupper()): c2=c2+1 print("No of lowercase letters",c1) print("No of uppercase letters",c2)
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NarutoWu11/Leetcode
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import sys class Solution(object): def maxProfit(self, prices): """ :type prices: List[int] :rtype: int """ profit1 = 0 total = 0 base = 0 if len(prices) == 0 else prices[0] minus = -sys.maxint - 1 for i in range(1, len(prices)): base = min(base, prices[i]) profit1 = max(profit1, prices[i] - base) minus = max(minus, profit1 - prices[i]) total = max(total, prices[i] + minus) return total
[ "iamnarutowu@gmail.com" ]
iamnarutowu@gmail.com
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/临时.py
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[]
no_license
Jun-Yang-1007/Fushan-master
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2023-02-17T21:56:46.615512
2021-01-06T08:11:23
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327,243,455
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import pandas as pd import matplotlib.pyplot as plt from statsmodels.tsa.stattools import adfuller as ADF from statsmodels.stats.diagnostic import acorr_ljungbox from statsmodels.tsa.arima_model import ARMA from statsmodels.tsa.stattools import arma_order_select_ic from statsmodels.graphics.tsaplots import plot_acf from statsmodels.graphics.tsaplots import plot_pacf import statsmodels.api as sm import warnings warnings.filterwarnings('ignore') file=pd.read_csv(r'E:\MyFpi\Project1\fujian-water-master-PY3\Data\section_1_day_data.csv') file=pd.read_csv('C:/Users/41634/Desktop/paper/newdata.csv') file=file.dropna() data=file.iloc[:90]#取到12月21号的数据,留下10天验证 data.day=pd.to_datetime(data.date) #画时序图 plt.plot(data.date,data['NO.8']) plt.xlabel('day') plt.ylabel('sales') plt.title('Time Series') plt.show() #画自相关图 和偏自相关图 plot_acf(data['NO.8']).show() plot_pacf(data['NO.8']).show() #平稳性检测 print('ADF result is',ADF(data['NO.8'])) #ADF result is (-4.185335160040106, 0.0006975913679687867, 4, 85, #{'1%': -3.5097356063504983, '5%': -2.8961947486260944, '10%': -2.5852576124567475}, 212.10556994032333) #可以看出这里的ADF结果为-4.3, p-value小于0.05, 1%的结果-3.45>ADF的结果-4.3, #所以说明极其显著拒绝原假设,不存在单位根,所以可以得出结论本数据是平稳的。 #纯随机检查 print('纯随机检查结果为',acorr_ljungbox(data['NO.8'],lags=1)) #lags表示延迟期数 #可以看出延迟1期后,p值为3.87e-19小于0.05,因此95%可以拒绝原假设,认为该序列为非白噪声序列,有信息可以提取 sm.graphics.tsa.plot_acf(data['NO.8'], lags=50) plt.figure(figsize=(12, 6)) plt.show() from statsmodels.tsa.stattools import arma_order_select_ic print('BIC求解的模型阶次为',arma_order_select_ic(file.DO,max_ar=4,max_ma=2,ic='bic')['bic_min_order'])
[ "416347260@qq.com" ]
416347260@qq.com
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/MyWidget.py
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[]
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chin0rism/Barbara
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import tkinter as tk class MyWidget(tk.Frame): def __init__(self, root): tk.Frame.__init__(self, root) self._pack = tk.Frame.pack self.l1 =tk.Label(self, text='Label1', bg='blue') self.l2 =tk.Label(self, text='Label2', bg='red') def pack(self, **kwargs): self._pack(self, kwargs) self.l1.pack(fill='x') self.l2.pack(fill='x') if __name__=='__main__': root = tk.Tk() root.geometry('500x200') mw = MyWidget(root) mw.pack()#fill='x') root.mainloop()
[ "noreply@github.com" ]
noreply@github.com
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/components/CatBoost/Predict_class_probabilities/from_CSV/component.py
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from kfp.components import InputPath, OutputPath, create_component_from_func def catboost_predict_class_probabilities( data_path: InputPath('CSV'), model_path: InputPath('CatBoostModel'), predictions_path: OutputPath(), label_column: int = None, ): '''Predict class probabilities with a CatBoost model. Args: data_path: Path for the data in CSV format. model_path: Path for the trained model in binary CatBoostModel format. label_column: Column containing the label data. predictions_path: Output path for the predictions. Outputs: predictions: Predictions in text format. Annotations: author: Alexey Volkov <alexey.volkov@ark-kun.com> ''' import tempfile from catboost import CatBoost, Pool import numpy if label_column: column_descriptions = {label_column: 'Label'} column_description_path = tempfile.NamedTemporaryFile(delete=False).name with open(column_description_path, 'w') as column_description_file: for idx, kind in column_descriptions.items(): column_description_file.write('{}\t{}\n'.format(idx, kind)) else: column_description_path = None eval_data = Pool( data_path, column_description=column_description_path, has_header=True, delimiter=',', ) model = CatBoost() model.load_model(model_path) predictions = model.predict(eval_data, prediction_type='Probability') numpy.savetxt(predictions_path, predictions) if __name__ == '__main__': catboost_predict_class_probabilities_op = create_component_from_func( catboost_predict_class_probabilities, output_component_file='component.yaml', base_image='python:3.7', packages_to_install=['catboost==0.23'] )
[ "noreply@github.com" ]
noreply@github.com
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/controllers/series.py
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[]
no_license
Sokhavuth/ETV
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#controllers/series.py import config, copy, lib from flask import render_template, redirect from models.userdb import Userdb from models.seriesdb import Seriesdb class Series(): def __init__(self): self.lib = lib.Lib() self.userdb = Userdb() self.seriesdb = Seriesdb() def get_series(self, id): vdict = copy.deepcopy(config.vdict) vdict['site_title'] = '​ភាពយន្ត​ភាគ' vdict['series'] = self.seriesdb.select(vdict['random_max_movie'], random=id) vdict['thumbs'] = self.lib.get_thumbs(vdict['series'], 4, type='movie') vdict['serie'] = self.seriesdb.select(id=id) date = (vdict['serie'][5]).strftime('%d/%m/%Y') time = (vdict['serie'][6]).strftime('%H:%M:%S') vdict['datetime'] = (date, time) vdict['author'] = self.userdb.select(username=vdict['serie'][7]) return render_template('series.html', data=vdict)
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vuthdevelop@gmail.com
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xcmyz/Forced-Alignment
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import os from nnmnkwii.datasets import vctk import hparams as hp # speakers = vctk.available_speakers # print(speakers) # print(len(speakers)) speakers = list() for file in os.listdir(os.path.join(hp.vctk_processed, "wav48")): speakers.append(str(file[1:4])) # print(speakers) # print(len(speakers)) td = vctk.TranscriptionDataSource(hp.vctk_processed, speakers=speakers) transcriptions = td.collect_files() wav_paths = vctk.WavFileDataSource( hp.vctk_processed, speakers=speakers).collect_files() print(transcriptions[32306]) print(wav_paths[32306])
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[]
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HyeSPark/data-visualization
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#!/Users/HS/Documents/GitHub/data-visualization/venv/bin/python3 # -*- coding: utf-8 -*- import re import sys from flask.cli import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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[]
no_license
liupy525/Pythontip-OJ
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92c5547bb9593c63e36d322ef6af8c4a3f994d3a
refs/heads/master
2021-01-25T00:10:34.740300
2014-02-03T16:59:37
2014-02-03T16:59:37
16,301,037
3
1
null
null
null
null
UTF-8
Python
false
false
325
py
# !/usr/bin/env python # -*- coding: utf-8 -*- ''' 输出100以内的所有素数,素数之间以一个空格区分 ''' def sushu(num): l = [2] k=0 for i in range(2, num+1): for j in range(2, i): if i%j==0: break k = j if k==i-1: l.append(i) return l print sushu(8)
[ "liupy525@gmail.com" ]
liupy525@gmail.com
cd971a3bc0cc2bea0be299e3da6d65df9e72c516
fe5c60db9e5399f1ad021291549ceacb3e8626b5
/deployed/geninstance.py
95c2cde490776a2fba4a4d6453ff725bfc6917f8
[]
no_license
dr-bonez/ASPemu
aa8a6b308cc712adaa78040298516402c7f14b91
604b9a9fa63937cd811bfc05edf778dea1e7b855
refs/heads/master
2021-03-30T12:53:43.585246
2017-06-15T23:25:29
2017-06-15T23:25:29
null
0
0
null
null
null
null
UTF-8
Python
false
false
5,092
py
import re def convert_case(name): s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower() def geninstance(filename, timesteps): with open(filename) as f: with open("instance.lp", 'w') as g: section = "none" maxpc = 0 maxtime = timesteps for line in f: line = line.strip() if line == ".code": section = "code" continue elif line == ".data": section = "data" continue elif section == "code": ins = line.split(" ") if ins[1] == "APICALL": if ins[2].lower() == "exit": g.write("end({:d}).\n".format(int(ins[0], 0))) else: g.write("apicall({:d}, {:s}).\n".format(int(ins[0], 0), convert_case(ins[2]))) elif ins[1] == "MOV": try: imm = int(ins[2], 0) if imm == 0: g.write("mov_imm({:d}, {:s}, zero).\n".format(int(ins[0], 0), ins[3].lower())) else: for i in range(0, imm.bit_length()): if imm & (1<<i) != 0: g.write("mov_imm({:d}, {:s}, {:d}).\n".format(int(ins[0], 0), ins[3].lower(), i)) except ValueError: g.write("mov({:d}, {:s}, {:s}).\n".format(int(ins[0], 0), ins[2].lower(), ins[3].lower())) elif ins[1] == "CMP": try: imm = int(ins[3], 0) if imm == 0: g.write("cmp_imm({:d}, {:s}, zero).\n".format(int(ins[0], 0), ins[2].lower())) else: for i in range(0, imm.bit_length()): if imm & (1<<i) != 0: g.write("cmp_imm({:d}, {:s}, {:d}).\n".format(int(ins[0], 0), ins[2].lower(), i)) except ValueError: g.write("cmp({:d}, {:s}, {:s}, cmp).\n".format(int(ins[0], 0), ins[2].lower(), ins[3].lower())) elif ins[1] == "ADD" or ins[1] == "SUB": try: imm = int(ins[3], 0) if imm == 0: g.write("{:s}_imm({:d}, {:s}, zero, {:s}).\n".format(ins[1].lower(), int(ins[0], 0), ins[2].lower(), ins[4].lower())) else: for i in range(0, imm.bit_length()): if imm & (1<<i) != 0: g.write("{:s}_imm({:d}, {:s}, {:d}, {:s}).\n".format(ins[1].lower(), int(ins[0], 0), ins[2].lower(), i, ins[4].lower())) except ValueError: g.write("{:s}({:d}, {:s}, {:s}, {:s}).\n".format(ins[1].lower(), int(ins[0], 0), ins[2].lower(), ins[3].lower(), ins[4].lower())) elif ins[1][0] == 'J': try: imm = int(ins[2], 0) if imm == 0: g.write("{:s}_abs({:d}, zero).\n".format(ins[1].lower(), int(ins[0], 0))) else: for i in range(0, imm.bit_length()): if imm & (1<<i) != 0: g.write("{:s}_abs({:d}, {:d}).\n".format(ins[1].lower(), int(ins[0], 0), i)) except ValueError: g.write("{:s}_reg({:d}, {:s}).\n".format(ins[1].lower(), int(ins[0], 0), ins[2].lower())) elif ins[1] == 'STO': try: imm = int(ins[3], 0) if imm == 0: g.write("sto_imm({:d}, {:s}, zero).\n".format(int(ins[0], 0), ins[2].lower())) else: for i in range(0, imm.bit_length()): if imm & (1<<i) != 0: g.write("sto_imm({:d}, {:s}, {:d}).\n".format(int(ins[0], 0), ins[2].lower(), i)) except ValueError: g.write("sto({:d}, {:s}, {:s}).\n".format(int(ins[0], 0), ins[2].lower(), ins[3].lower())) elif ins[1] == 'EICAR': g.write("{:s}({:d}).\n".format(ins[1].lower(), int(ins[0], 0))) maxpc = max(maxpc, int(ins[0], 0)) if timesteps == 0: maxtime = 2*maxpc g.write("\n#const maxpc = {:d}.\n#const maxtime = {:d}.\n".format(maxpc, maxtime)) return maxpc
[ "gagglehoof@gmail.com" ]
gagglehoof@gmail.com
44c3afaa443fdc8281283d954e90df9a2f425297
559f36eae97c8efb4b7361af114acc3ea0577f4a
/daily_contact/property.py
e15f236baf3db1416987808ac0043f19d6a8c0f3
[]
no_license
sslshuanglong/Learn-Python
f544f189a21feeb64b726c249aff7dc680979c28
54c77bdd0e6a639ec214ea1d3815dde9ea897f98
refs/heads/master
2021-10-25T23:47:58.218770
2019-04-08T12:30:30
2019-04-08T12:30:30
110,947,699
0
0
null
null
null
null
UTF-8
Python
false
false
1,347
py
#!/usr/bin/env python3 # -*- coding: utf-8 -*- __auther__ = 'shuanglong' ''' class students(object): @property def score(self): return self._score @score.setter def score(self,value): if not isinstance(value,int): raise ValueError('score must be an integer') if value < 0 or value > 100: raise ValueError('score must beteen 0-100') self._score = value @property def birth(self): return self._birth @birth_setter def birth(self,value): self._birth = value @property def age(self): return 2019 - self._birth s = students() s.score = 999 print(s.score) ''' class Screen(object): @property def width(self): return self._width @width.setter def width(self,value): if value < 0: raise ValueError('width must greater than 0') self._width = value @property def height(self): return self._height @height.setter def height(self,value): if value < 0: raise ValueError('height must greater than 0') self._height = value @property def resolution(self): return self._width * self._height s = Screen() s.width = -10 s.height = 90 print(s.width) print(s.height) print('screen size:', s.resolution)
[ "sslshuanglong@163.com" ]
sslshuanglong@163.com
283f427e9d9fd76dffc9aa0194a13ceee65c1eed
62e58c051128baef9452e7e0eb0b5a83367add26
/x12/6010/210006010.py
9c9a3fead2b5be7e1936e8c84d815fd4b8fdba06
[]
no_license
dougvanhorn/bots-grammars
2eb6c0a6b5231c14a6faf194b932aa614809076c
09db18d9d9bd9d92cefbf00f1c0de1c590fe3d0d
refs/heads/master
2021-05-16T12:55:58.022904
2019-05-17T15:22:23
2019-05-17T15:22:23
105,274,633
0
0
null
2017-09-29T13:21:21
2017-09-29T13:21:21
null
UTF-8
Python
false
false
2,639
py
from bots.botsconfig import * from records006010 import recorddefs syntax = { 'version': '00601', 'functionalgroup': 'IM', } structure = [ {ID: 'ST', MIN: 1, MAX: 1, LEVEL: [ {ID: 'B3', MIN: 1, MAX: 1}, {ID: 'C2', MIN: 0, MAX: 1}, {ID: 'C3', MIN: 0, MAX: 1}, {ID: 'ITD', MIN: 0, MAX: 1}, {ID: 'L11', MIN: 0, MAX: 300}, {ID: 'G62', MIN: 0, MAX: 6}, {ID: 'R3', MIN: 0, MAX: 12}, {ID: 'H3', MIN: 0, MAX: 6}, {ID: 'K1', MIN: 0, MAX: 10}, {ID: 'N1', MIN: 0, MAX: 10, LEVEL: [ {ID: 'N2', MIN: 0, MAX: 1}, {ID: 'N3', MIN: 0, MAX: 2}, {ID: 'N4', MIN: 0, MAX: 1}, {ID: 'L11', MIN: 0, MAX: 5}, ]}, {ID: 'N7', MIN: 0, MAX: 10, LEVEL: [ {ID: 'M7', MIN: 0, MAX: 2}, ]}, {ID: 'OID', MIN: 0, MAX: 999999, LEVEL: [ {ID: 'SDQ', MIN: 0, MAX: 10}, ]}, {ID: 'S5', MIN: 0, MAX: 999, LEVEL: [ {ID: 'L11', MIN: 0, MAX: 10}, {ID: 'G62', MIN: 0, MAX: 10}, {ID: 'H3', MIN: 0, MAX: 6}, {ID: 'OID', MIN: 0, MAX: 999999, LEVEL: [ {ID: 'SDQ', MIN: 0, MAX: 10}, ]}, {ID: 'N1', MIN: 0, MAX: 2, LEVEL: [ {ID: 'N2', MIN: 0, MAX: 1}, {ID: 'N3', MIN: 0, MAX: 2}, {ID: 'N4', MIN: 0, MAX: 1}, {ID: 'L11', MIN: 0, MAX: 5}, {ID: 'N7', MIN: 0, MAX: 10, LEVEL: [ {ID: 'M7', MIN: 0, MAX: 2}, ]}, ]}, ]}, {ID: 'LX', MIN: 0, MAX: 99999, LEVEL: [ {ID: 'L11', MIN: 0, MAX: 20}, {ID: 'L5', MIN: 0, MAX: 30}, {ID: 'H1', MIN: 0, MAX: 3}, {ID: 'H2', MIN: 0, MAX: 2}, {ID: 'L0', MIN: 0, MAX: 10}, {ID: 'L1', MIN: 0, MAX: 50}, {ID: 'L4', MIN: 0, MAX: 10}, {ID: 'L7', MIN: 0, MAX: 10}, {ID: 'K1', MIN: 0, MAX: 10}, {ID: 'OID', MIN: 0, MAX: 999999, LEVEL: [ {ID: 'SDQ', MIN: 0, MAX: 10}, ]}, {ID: 'N1', MIN: 0, MAX: 999999, LEVEL: [ {ID: 'N2', MIN: 0, MAX: 1}, {ID: 'N3', MIN: 0, MAX: 2}, {ID: 'N4', MIN: 0, MAX: 1}, {ID: 'L11', MIN: 0, MAX: 10}, {ID: 'CD3', MIN: 0, MAX: 999999, LEVEL: [ {ID: 'L11', MIN: 0, MAX: 20}, {ID: 'H6', MIN: 0, MAX: 10}, {ID: 'L9', MIN: 0, MAX: 50}, {ID: 'POD', MIN: 0, MAX: 1}, {ID: 'G62', MIN: 0, MAX: 1}, ]}, {ID: 'OID', MIN: 0, MAX: 999999, LEVEL: [ {ID: 'SDQ', MIN: 0, MAX: 10}, ]}, ]}, ]}, {ID: 'L3', MIN: 0, MAX: 1}, {ID: 'SE', MIN: 1, MAX: 1}, ]} ]
[ "doug.vanhorn@tagglogistics.com" ]
doug.vanhorn@tagglogistics.com
293b50023ee3f26b66bf02fd7e0a9819f49cf9a3
c8ed38dd26439d9aa191dc7fa95155dffb547b67
/web_server.py
60c8c5423468ad9af0fc8d872ea15be1c166f121
[]
no_license
brycecorbitt/MU2801_Percussion
ed3e319bc689eb2a68e9da2ec3e1894131aeb447
1db26ab8f6a7690521cb33abc915f80a86174237
refs/heads/master
2020-08-06T07:15:30.496098
2019-10-10T21:46:09
2019-10-10T21:46:09
212,885,772
0
0
null
null
null
null
UTF-8
Python
false
false
827
py
from bottle import route, get, post, run, request, redirect from percussion import PercussionMotor drum = PercussionMotor(0, 13, 26, 16) @get('/') def index(): return '''<h1> MU2801 Percussion Controller </h1> <form action="/" method="post"> Set Sensor Threshold between 0-65535 (Default is 255, higher = less sensitive) <input name="sensor" type="text" /> <input value="Submit" type="submit" /> </form> <a href="/hit">Click to execute motor hit()</a> ''' @get('/hit') def execute(): drum.hit() redirect('/') @post('/') def process(): if request.forms.get('sensor'): try: value = int(request.forms.get('sensor')) drum.set_sensor_thresh(value) except ValueError: pass redirect('/') run(host='percussion.dyn.wpi.edu', port=8080)
[ "bscorbitt@wpi.edu" ]
bscorbitt@wpi.edu
f3abd2898ef25b92b7c5f64799adadc6acde5e1d
5783be589f9f6ab590ea097eb9b84fa3786617e4
/Trie/contacts_list.py
31c37f25db381989e9aad83a48ec1dcf4f978847
[ "Apache-2.0" ]
permissive
suyash248/ds_algo
5751e46ba4b959f0dd3f6843800f3e21d52100ac
1ca9470c33236016cbb88a38b2f19db41535e457
refs/heads/master
2022-12-10T10:39:16.135888
2022-12-06T16:45:25
2022-12-06T16:45:25
58,738,512
8
4
null
null
null
null
UTF-8
Python
false
false
5,179
py
# https://www.youtube.com/watch?v=vlYZb68kAY0 - Contacts list # Insert and search costs O(key_length), however the memory requirements of Trie is O(ALPHABET_SIZE * key_length * N) # where N is number of keys in Trie. # https://www.youtube.com/watch?v=AXjmTQ8LEoI class ContactNode(object): def __init__(self): self.children = {} self.endOfWord = False # Count of words (leaf nodes) starting from this node. It will help to find out the number of words/count starting with some prefix. self.wordsNum = 0 def __str__(self): return "Children: {} | {}".format(self.children.keys(), self.endOfWord) class Trie(object): def __init__(self): self.__root__ = ContactNode() # Time complexity: O(length_of_word) def insert(self, word): cur = self.__root__ for ch in word: child = cur.children.get(ch, None) if child is None: child = ContactNode() cur.children[ch] = child child.wordsNum += 1 cur = child cur.endOfWord = True # Time complexity: O(length_of_word) def search(self, word): cur = self.__root__ for ch in word: child = cur.children.get(ch, None) if child is None: return False cur = child return cur.endOfWord def prefix_search_count(self, prefix): cur = self.__root__ for ch in prefix: child = cur.children.get(ch, None) if child is None: return 0 cur = child return cur.wordsNum # Time complexity: O(length_of_word) def __delete__(self, word, cur, index=0): if index == len(word): if cur.endOfWord: cur.endOfWord = False # Mark `endOfWord` as we're going to delete this. return len( cur.children) == 0 # If there are no children, delete this node (True means node will be deleted later) return False ch = word[index] child = cur.children.get(ch, None) # No need to check if this word exists or not as we've already checked it before calling this method. cur.wordsNum -= 1 shouldRemove = self.__delete__(word, child, index=index + 1) # Removing node from memory (i.e. parent's `children' dict) if this is the only node remaining in `children1 dict. if shouldRemove: # Delete this node from memory, i.e. remove node corresponding to key(ch) from it's parent's `children` dict cur.children.pop(ch) # If parent's `children` dict becomes empty then parent is also a candidate for removal, return `True` in that case. return len(cur.children) == 0 return False def delete(self, word): if self.search(word): self.__delete__(word, self.__root__) def __prefix_search__(self, prefix, joint_node): for ch, child_node in joint_node.children.items(): prefix = prefix + ch if child_node.endOfWord: print prefix self.__prefix_search__(prefix, child_node) prefix = prefix[:-1] # Backtracking def prefix_search(self, prefix): cur = self.__root__ # Traverse till last character in `prefix` for ch in prefix: child = cur.children.get(ch, None) if child is None: return None cur = child self.__prefix_search__(prefix, cur) if __name__ == '__main__': trie = Trie() choices = { 1: "Add contact", 2: "Search contact", 3: "Prefix search(startswith) count", 4: "Prefix search(startswith)", 5: "Delete contact", 6: "Exit" } choices = '\n'.join(['{}. {}'.format(k, v) for k, v in choices.items()]) while True: print("\n" + choices + "\n") try: choice = int(input("Enter your choice - ")) or 0 except: choice = 0 if choice == 1: word = input("Please enter a contact name to be inserted - ") trie.insert(word) elif choice == 2: word = input("Please enter contact name to be searched - ") is_present = trie.search(word) print("{} is {}present".format(word, "" if is_present else "not ")) elif choice == 3: prefix = input("Please enter a contact name/prefix to be searched - ") wordsNum = trie.prefix_search_count(prefix) print("There are {} contact(s) starting with prefix {}".format(wordsNum, prefix)) elif choice == 4: prefix = input("Please enter a contact name/prefix to be searched - ") print("Contact(s) starting with prefix {} are -".format(prefix)) trie.prefix_search(prefix) elif choice == 5: word = input("Please enter a word/sequence to be deleted - ") trie.delete(word) elif choice == 6: print("Thank you!") break else: print("Invalid choice") continue
[ "suyash.soni248@gmail.com" ]
suyash.soni248@gmail.com
fa0ed8d12e652ca3b7dc3e7fc23499dfd413a064
f46e9667b22064bd1f6472f6017410ad7d87861b
/ig/get.py
2b66f8141cab4e86433929b0601867cf13fba3b9
[]
no_license
afcarl/python-tutorial-1
03cbfd2aa5074c85b76f3b37d9b6955a0be2a913
b07083407e3090d195db3ea92efedf569c8fa562
refs/heads/master
2020-08-28T18:27:31.763692
2017-12-24T13:33:36
2017-12-24T13:33:36
null
0
0
null
null
null
null
UTF-8
Python
false
false
234
py
import requests import re import subprocess res = requests.get('https://www.instagram.com/airi_kijima/') pics = re.findall('https://[^"]+_n\.jpg', res.text) for url in pics: subprocess.call(('wget %s -P pics' % url).split(' '))
[ "i314i@yahoo.com.tw" ]
i314i@yahoo.com.tw