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

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import sys sys.stdin = open('input.txt') from collections import deque input = sys.stdin.readline def solution(): N, M, K, X = map(int, input().split()) X = X - 1 adj = [[] for _ in range(N)] for m in range(M): u, v = map(lambda x: int(x) - 1, input().split()) adj[u].append(v) dist = [float('inf')] * N q = deque([X]) dist[X] = 0 d = 0 while q: d += 1 for _ in range(len(q)): cur = q.popleft() for next in adj[cur]: if dist[next] == float('inf'): q.append(next) dist[next] = d answer = [u + 1 for u in range(N) if dist[u] == K] print('\n'.join(map(str, answer)) if answer else -1) if __name__ == '__main__': solution()

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# -*- coding: utf-8 -*- import csv import xlrd class Alarm_Extraction: def textExtraction(self, filepath): container = [] error = "存在以下异常：\n" try: with open(filepath, 'r') as file: file_list = file.readlines() t_header = file_list[3].strip('\n').split('\t') column_h = len(t_header) for row in range(len(file_list)): package = file_list[row].strip('\n').split('\t') if row > 0 and len(package) == column_h: container.append(package) else: error = error + ("第%s行的字段数为%s,不符合规则！\n" % (row, len(package))) except Exception as e: error = error + str(e) t_header = None return t_header, container, error def csvExtraction(self, csvpath): container = [] error = "存在以下异常：\n" try: with open(csvpath, 'r') as file: cr = csv.reader(file, delimiter="|", quotechar='"') for i, rows in enumerate(cr): if i > 0: container.append(rows) c_header = container[0] except Exception as e: error = error + str(e) c_header = None return c_header, container, error def excelExtraction(self, excelpath, mode="data", _sheetName=None): container = [] error = "存在以下异常：\n" excelFile = xlrd.open_workbook(excelpath) if mode == "data": try: table = excelFile.sheet_by_name(_sheetName) r = table.nrows e_header = table.row_values(rowx=0, start_colx=0, end_colx=None) for i in range(r): if i > 0: container.append(table.row_values(rowx=i, start_colx=0, end_colx=None)) except Exception as e: error = error + str(e) e_header = None return e_header, container, error elif mode == "sheet": sheet_name = excelFile.sheet_names() return sheet_name elif mode == "header": table = excelFile.sheet_by_name(_sheetName) e_header = table.row_values(rowx=0, start_colx=0, end_colx=None) return e_header def PersonalizedFileImport(self, Filepath, ColList, _sheetName=None): _header = [] _Coly = [] ColIndex = [] excelFile = xlrd.open_workbook(Filepath) table = excelFile.sheet_by_name(_sheetName) _header = table.row_values(rowx=0, start_colx=0, end_colx=None) # print(ColList) for k, v in enumerate(ColList): ColIndex.append(_header.index(v)) # print(ColIndex) for n, v in enumerate(tuple(ColIndex)): _Coly.append(table.col_values(colx=v, start_rowx=0, end_rowx=None)) _data = list(map(list, (zip(*_Coly)))) return _data # list type

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# Generated by Django 2.1.5 on 2019-06-07 13:56 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('cargar', '0004_auto_20190606_1922'), ] operations = [ migrations.AddField( model_name='comprobante', name='conteo_id', field=models.ForeignKey(default=1, on_delete=django.db.models.deletion.DO_NOTHING, to='cargar.ConteoComprobante'), preserve_default=False, ), ]

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o-zander/budget-butler

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import datetime from django.http import HttpResponse, JsonResponse from django.views.generic import View, DayArchiveView, CreateView, TemplateView from .forms import ExpenseModelForm from .models import Expense from .utils import get_months, get_days class JsonView(View): safe = True def dispatch(self, request, *args, **kwargs): data = super(JsonView, self).dispatch(request, *args, **kwargs) if isinstance(data, HttpResponse): return data return JsonResponse(data, safe=self.safe) class MonthListView(TemplateView): template_name = 'views/month-list-view.html' def get_context_data(self, **kwargs): years_with_months = [ (year, get_months(year)) for year in (2014, 2015) ] return super(MonthListView, self).get_context_data(years_with_months=years_with_months, **kwargs) class MonthDetailView(TemplateView): template_name = 'views/month-detail-view.html' def get_context_data(self, **kwargs): date = datetime.date(int(self.kwargs.get('year')), int(self.kwargs.get('month')), 1) weeks_with_days = [ (week, [(day, Expense.objects.get_budget(day)) for day in days]) for week, days in get_days(date.year, date.month) ] return super(MonthDetailView, self).get_context_data(date=date, weeks_with_days=weeks_with_days) class IndexView(MonthListView): template_name = 'index.html' class ExpenseMixIn(object): model = Expense class ExpenseListView(ExpenseMixIn, DayArchiveView): template_name = 'views/day-detail-view.html' allow_empty = True allow_future = True date_field = 'date' month_format = '%m' def render_to_response(self, context, **response_kwargs): objects, date = (lambda object_list, day, **extra: (object_list, day))(**context) context.update(total=objects.get_sum_amount(), budget=Expense.objects.get_budget(date)) return super(ExpenseListView, self).render_to_response(context, **response_kwargs) class ExpenseAddView(ExpenseMixIn, CreateView): form_class = ExpenseModelForm template_name = 'forms/add-expense-form.html' def form_valid(self, form): self.object = form.save() url = self.get_success_url() return JsonResponse({'pk': self.object.pk, 'url': url}, status=201)

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# Do not edit. File was generated by node-gyp's "configure" step { "target_defaults": { "cflags": [], "default_configuration": "Release", "defines": [], "include_dirs": [], "libraries": [] }, "variables": { "asan": 0, "coverage": "false", "debug_devtools": "node", "force_dynamic_crt": 0, "gas_version": "2.23", "host_arch": "x64", "icu_data_file": "icudt59l.dat", "icu_data_in": "../../deps/icu-small/source/data/in/icudt59l.dat", "icu_endianness": "l", "icu_gyp_path": "tools/icu/icu-generic.gyp", "icu_locales": "en,root", "icu_path": "deps/icu-small", "icu_small": "true", "icu_ver_major": "59", "node_byteorder": "little", "node_enable_d8": "false", "node_enable_v8_vtunejit": "false", "node_install_npm": "true", "node_module_version": 57, "node_no_browser_globals": "false", "node_prefix": "/", "node_release_urlbase": "https://nodejs.org/download/release/", "node_shared": "false", "node_shared_cares": "false", "node_shared_http_parser": "false", "node_shared_libuv": "false", "node_shared_openssl": "false", "node_shared_zlib": "false", "node_tag": "", "node_use_bundled_v8": "true", "node_use_dtrace": "false", "node_use_etw": "false", "node_use_lttng": "false", "node_use_openssl": "true", "node_use_perfctr": "false", "node_use_v8_platform": "true", "node_without_node_options": "false", "openssl_fips": "", "openssl_no_asm": 0, "shlib_suffix": "so.57", "target_arch": "x64", "uv_parent_path": "/deps/uv/", "uv_use_dtrace": "false", "v8_enable_gdbjit": 0, "v8_enable_i18n_support": 1, "v8_enable_inspector": 1, "v8_no_strict_aliasing": 1, "v8_optimized_debug": 0, "v8_promise_internal_field_count": 1, "v8_random_seed": 0, "v8_use_snapshot": "true", "want_separate_host_toolset": 0, "want_separate_host_toolset_mkpeephole": 0, "nodedir": "/home/ideais/.node-gyp/8.1.2", "standalone_static_library": 1, "libsass_ext": "", "libsass_cflags": "", "libsass_ldflags": "", "libsass_library": "", "cache_lock_stale": "60000", "ham_it_up": "", "legacy_bundling": "", "sign_git_tag": "", "user_agent": "npm/5.4.2 node/v8.1.2 linux x64", "always_auth": "", "bin_links": "true", "key": "", "allow_same_version": "", "description": "true", "fetch_retries": "2", "heading": "npm", "if_present": "", "init_version": "1.0.0", "user": "1000", "prefer_online": "", "force": "", "only": "", "cache_min": "10", "init_license": "ISC", "editor": "vi", "rollback": "true", "tag_version_prefix": "v", "cache_max": "Infinity", "timing": "", "userconfig": "/home/ideais/.npmrc", "engine_strict": "", "init_author_name": "", "init_author_url": "", "tmp": "/tmp", "depth": "Infinity", "save_dev": "", "usage": "", "metrics_registry": "https://registry.npmjs.org/", "progress": "true", "package_lock": "true", "https_proxy": "", "save_prod": "", "onload_script": "", "sso_type": "oauth", "rebuild_bundle": "true", "save_bundle": "", "shell": "/bin/bash", "dry_run": "", "prefix": "/home/ideais/.nvm/versions/node/v8.1.2", "scope": "", "browser": "", "cache_lock_wait": "10000", "ignore_prepublish": "", "registry": "https://registry.npmjs.org/", "save_optional": "", "searchopts": "", "versions": "", "cache": "/home/ideais/.npm", "send_metrics": "", "global_style": "", "ignore_scripts": "", "version": "", "local_address": "", "viewer": "man", "prefer_offline": "", "color": "true", "fetch_retry_mintimeout": "10000", "maxsockets": "50", "offline": "", "sso_poll_frequency": "500", "umask": "0002", "fetch_retry_maxtimeout": "60000", "logs_max": "10", "message": "%s", "ca": "", "cert": "", "global": "", "link": "", "access": "", "also": "", "save": "true", "unicode": "true", "long": "", "production": "", "searchlimit": "20", "unsafe_perm": "true", "auth_type": "legacy", "node_version": "8.1.2", "tag": "latest", "git_tag_version": "true", "commit_hooks": "true", "script_shell": "", "shrinkwrap": "true", "fetch_retry_factor": "10", "save_exact": "", "strict_ssl": "true", "dev": "", "globalconfig": "/home/ideais/.nvm/versions/node/v8.1.2/etc/npmrc", "init_module": "/home/ideais/.npm-init.js", "parseable": "", "globalignorefile": "/home/ideais/.nvm/versions/node/v8.1.2/etc/npmignore", "cache_lock_retries": "10", "searchstaleness": "900", "save_prefix": "^", "scripts_prepend_node_path": "warn-only", "group": "1000", "init_author_email": "", "searchexclude": "", "git": "git", "optional": "true", "json": "" } }

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import random import socket import multiprocessing UDP_IP="127.0.0.1" sock=socket.socket(socket.AF_INET,socket.SOCK_DGRAM) sock.bind(('',8888)) while True: data=b'sdfsds' sock.sendto(data,(UDP_IP,8888))

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#!/usr/bin/env python import sys import os import MySQLdb if (len(sys.argv) != 5): sys.exit("Quantidade de argumentos eh invalida.\n Usage: python run-backup.py <host> <user> <password> <database>") db = MySQLdb.connect(host=sys.argv[1], # ip do servidor de banco de dados ex.: "localhost" user=sys.argv[2], # nome de usuario ex.: "root" passwd=sys.argv[3], # senha do banco de dados ex.: "root123456" db=sys.argv[4]) # nome do banco de dados ex.: "dbbackup-info" # Cursor para buscas no banco cur = db.cursor() cur.execute("select * from `schemas-info`") # Cria o backup para cada banco existente for row in cur.fetchall(): print("./script-backup.sh --database %s --user %s --password %s" % (row[1], row[2], row[3])) os.system("./script-backup.sh --database %s --user %s --password %s" % (row[1], row[2], row[3])) db.close()

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kauesilveira1609@gmail.com

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from cmdb.models.Host import Host from rest_framework import serializers from cmdb.models.Cluster import Cluster from cmdbapi.serializers.ManyRelationSerializer import ManyRelationSerializer class HostGetSerializer(serializers.ModelSerializer): ippool_set = serializers.StringRelatedField(many=True,required=False) cluster = ManyRelationSerializer(many=True) class Meta: model = Host fields = ("id","host_name","kernel","os","osrelease","environment","ippool_set","cluster") def create(self,validated_data): host = Host.objects.create( host_name = validated_data.get("host_name"), kernel = validated_data.get("kernel"), os = validated_data.get("os"), osrelease = validated_data.get("osrelease"), environment = validated_data.get("environment"), ) for cluster_name in validated_data.get("cluster"): host.cluster.add(Cluster.objects.get(cluster_name=cluster_name)) return host def update(self,instance,validated_data): instance.host_name = validated_data.get("host_name",instance.host_name) instance.kernel = validated_data.get("kernel",instance.kernel) instance.os = validated_data.get("os",instance.os) instance.osrelease = validated_data.get("osrelease",instance.osrelease) instance.environment = validated_data.get("environment",instance.environment) instance.cluster.clear() for cluster_name in validated_data.get("cluster"): instance.cluster.add(Cluster.objects.get(cluster_name=cluster_name)) instance.save() return instance

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songxiaofeng@zhexinit.com

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# # Advent of Code 2020 # Bryan Clair # # Day 21 # import sys import re sys.path.append("..") import aocutils args = aocutils.parse_args() inputlines = [x.strip() for x in open(args.file).readlines()] parser = re.compile(r"([ \w]+) $contains ([ ,\w]+)$") # or whatever badfood = {} allfood = set() for line in inputlines: food_str,allergy_str = parser.match(line).groups() foods = set(food_str.split()) allfood = allfood.union(foods) allergies = [x.strip() for x in allergy_str.split(',')] for a in allergies: if a not in badfood: badfood[a] = foods else: badfood[a] = badfood[a].intersection(foods) safefood = set() for f in allfood: good = True for a in badfood: if f in badfood[a]: good = False break if good: safefood.add(f) count = 0 for line in inputlines: food_str,allergy_str = parser.match(line).groups() foods = set(food_str.split()) for f in foods: if f in safefood: count += 1 print 'part 1:',count for a in badfood: badfood[a] = badfood[a].difference(safefood) # print then solve this crap by hand. Done! if args.verbose > 2: print a,badfood[a] # ok ok here's code to do it, written post-competition: found = {} while len(found) < len(badfood): for a in badfood: badfood[a] = badfood[a].difference(found.values()) if len(badfood[a]) == 1: found[a] = list(badfood[a])[0] if args.verbose > 1: for a in found: print found[a],'contains',a print 'part 2:', print ','.join([found[a] for a in sorted(found.keys())])

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#Day-4 Task #Exercise 1 a=b=c=int(10) print("Values of a,b,c are ",a,",",b,",",c) a=int(a/10) b=int(b*50) c=int(c+60) print("After Dividing, Multiplying, and Adding") print("The values of a,b,c are",a,",",b,",",c) #Exercise 2 name="abcdef" print("The name is ", name) x=name.replace("c","G") print("After replacing the 3rd charactern The name is:",x) #Exercise 3 a=int(15) b=float(20) print("The initial values of a,b are",a,"int type",b,"float type") a=float(a) b=int(b) print("After converting") print(a,"in float type") print(b,"in int type")

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from heapq import * class Solution(object): def restoreMatrix(self, rowSum, colSum): """ :type rowSum: List[int] :type colSum: List[int] :rtype: List[List[int]] """ grid = [[0] * len(colSum) for _ in range(len(rowSum))] rowheap = [[rowSum[i], i] for i in range(len(rowheap))] heapify(rowheap) colheap = [[-colSum[i], i] for i in range(len(colheap))] heapify(colheap) while rowheap: r, i = heappop(rowheap) c, j = heappop(colheap) c = -c if c == r: grid[i][j] = c elif c>r: grid[i][j] = r heappush(colheap, [r-c,j]) else: grid[i][j] = c heappush(rowheap, [r-c,i]) return grid

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import sys def main(): inp = sys.stdin.read().splitlines() n_words = len(inp[0].split()) n_people = int(inp[1]) people = inp[2:] teams = [[], []] for i in range(n_people): index = (n_words - 1) % len(people) #print(index) teams[i % 2].append(people[index]) people = people[index + 1:] + people[:index] #print(people) for team in teams: print(len(team)) for person in team: print(person) main()

[ "ben.stutzman@emu.edu" ]

ben.stutzman@emu.edu

0b5bbaf76fa84e9989c75b6195c24cfab5ad6c53

6e6757a1fc119b2a3932aa498a2b50d35f7cd4cd

/unittest_kj/com/log_in.py

e50965047ed975aa2623cbad6c6d7510c80f5015

[]

no_license

wang1041208706/wl_product

24a98ba069eb9013cdfabd012438f544347c1a52

79cc8fc9d7be073673aa782cf6554c6674160d7d

refs/heads/master

2023-06-04T21:25:53.866978

2021-06-22T07:40:45

379,172,554

0

null

UTF-8

Python

false

1,187

py

from selenium import webdriver import time from unittest_kj.env.env_factory import * from ddt import ddt,data from unittest_kj.test_data.read_data import * class Login(): def login(self): self.web = webdriver.Firefox() self.web.implicitly_wait(20) self.web.get(ReadConfig().url) self.web.find_element_by_xpath('/html/body/div/section/form/div/input[1]').send_keys(ReadConfig().username) self.web.find_element_by_xpath('/html/body/div/section/form/div/input[2]').send_keys(ReadConfig().password) self.web.find_element_by_xpath('/html/body/div/section/form/div/input[3]').click() def click(self, list_argument): for item in list_argument: self.web.find_element_by_xpath(item).click() def send_keys(self, list_address, list_argument): for item in range(len(list_address)): self.web.find_element_by_xpath(list_address[item]).clear() self.web.find_element_by_xpath(list_address[item]).send_keys(list_argument[item]) def switch_to(self, argument): self.web.iframe = self.web.find_elements_by_tag_name(argument)[0] self.web.switch_to.frame(self.web.iframe)

[ "1041208706@qq.com" ]

1041208706@qq.com

488b4c572ee2b48feda208a11995a813054d2313

e9596473100470e8ab732e562c5188b9675cf09e

/2017/SECCON2017/Man-in-the-middle_on_SECP384R1/exploit.1.py

0c9f9a37d20997c40d144edc9861fd05b9b3f16a

[]

no_license

trmr/ctf

548c2674e34d11bc902f75d2ab4aae5836c0f8bb

1482cf2bd4eff3576cd455617ec60c72713a54f2

refs/heads/master

2022-04-15T09:16:53.037471

2020-04-14T14:40:49

245,831,722

0

null

UTF-8

Python

false

1,898

py

#!/usr/bin/python3 import socket from cryptography.hazmat.backends import default_backend from cryptography.hazmat.primitives.asymmetric import ec from cryptography.hazmat.primitives.serialization import * import hashlib from Crypto.Cipher import AES private_key1 = ec.generate_private_key(ec.SECP384R1, default_backend()) private_key2 = ec.generate_private_key(ec.SECP384R1, default_backend()) s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) host = "mitm.pwn.seccon.jp" s.connect((host, 8000)) s.recv(len("[dev0 to dev1]:")) data = s.recv(120) ## todo k1 = load_der_public_key(data, backend=default_backend()) payload = private_key1.public_key().public_bytes(encoding=Encoding.DER, format=PublicFormat.SubjectPublicKeyInfo) s.send(payload) data = s.recv(len("\n[dev1 to dev0]: OK\n")) data = s.recv(len("[dev1 to dev0]:")) data = s.recv(120) ## todo k2 = load_der_public_key(data, backend=default_backend()) payload = private_key2.public_key().public_bytes(encoding=Encoding.DER, format=PublicFormat.SubjectPublicKeyInfo) s.send(payload) s.recv(len("\n[dev0 to dev1]: OK\n")) data = s.recv(len("[KBKDF: SHA256, Encryption: AES]\n")) ## derive keys sk1 = private_key2.exchange(ec.ECDH(),k1) sk2 = private_key1.exchange(ec.ECDH(),k2) aesk1 = hashlib.sha256(sk1) aesk2 = hashlib.sha256(sk2) print ("key1: %s" % aesk1.hexdigest() ) print ("key2: %s" % aesk2.hexdigest() ) a1 = AES.new(aesk1.digest(),AES.MODE_CBC,"0000000000000000") a2 = AES.new(aesk2.digest(),AES.MODE_CBC,"0000000000000000") data = s.recv(len("[dev0 to dev1]:")) data = s.recv(256) nonce = a1.decrypt(data) print("nonce: %s" % nonce.decode()) ct = a2.encrypt(nonce) ## todo # mitm s.send(ct) data = s.recv(len("\n[dev1 to dev0]: OK\n")) data = s.recv(len("[dev1 to dev0]:")) data = s.recv(256) ## todo # decrypt a2 = AES.new(aesk2.digest(),AES.MODE_CBC,"0000000000000000") print(a2.decrypt(data).decode())

[ "ryo1.teramura@gmail.com" ]

ryo1.teramura@gmail.com

9e12fe15be6b38490c7289617d6c874b51f6e450

afc00adc224855094e18cd25c919f0a193299c7d

/class1/rank_by_num.py

0a63619d6586029cbbb078999ccb558ad89851d6

[]

no_license

rebeccasmile1/algorithm

e865e4916ee04989cce44de22eb63211de93938b

a9a60a59f6bb55cdba682721b6f9f9ac7a616d7a

refs/heads/master

2020-04-11T18:44:11.225477

2019-04-15T15:17:49

162,009,696

0

null

UTF-8

Python

false

2,727

py

''' 描述给定一个整数数组，根据元素的频率对数组进行排序。例如，如果输入数组是{2,3,2,4,5,12,2,3,3,3,12}，则将数组修改为{3,3,3,3,2,2， 2,12,12,4,5}。如果两个元素的频率相同，则按递增顺序打印它们。输入第一行输入包含一个整数T，表示测试用例的数量。T测试案例的描述如下。每个测试用例的第一行包含一个表示数组大小的整数N. 第二行包含N个空格分隔的整数A1，A2，...，AN表示数组的元素。（1≤T≤70;30≤N≤130;1≤A[i]≤60）产量在单独的行中打印每个已排序的数组。 1 5 5 5 4 6 4 ''' def mycount(): case_num=int(input()) for i in range(0,case_num): result=[] data_num=int(input()) list=input().split() data_list=[] # mydictionary = [[] for i in range(0, len(list))] # mydictionary=[[] for i in range(0,61)] for j in list: data_list.append(int(j)) mydictionary = [] temp = 0 mydictionary.append([]) mydictionary[0].append(data_list[0]) mydictionary[0].append(0) for num in data_list: flag=False for i in range(0,len(mydictionary)): if num==mydictionary[i][0]:#且等，则加1 mydictionary[i][1]+=1 flag=True break else:#不等，则继续往下遍历 continue if flag==False: temp = temp + 1 mydictionary.append([]) mydictionary[temp] = [] mydictionary[temp].append(num) mydictionary[temp].append(1) else: continue mydictionary.sort() mydictionary.sort(key=lambda x:x[1],reverse=True) for i in range(0,len(mydictionary)): for j in range(0,mydictionary[i][1]): print(mydictionary[i][0],end=' ') # result.append(mydictionary[i][0]) # print(' '.join(str(mydictionary[i][0]))) if __name__ == '__main__': mycount() # case_num = int(input()) # # for i in range(0, case_num): # temp=[] # result = [] # dict={} # data_num = int(input()) # list = input().split() # data_list = [] # for j in list: # data_list.append(int(j)) # if j not in dict.keys(): # dict[j]=0 # data_list.sort() # print(data_list) # for key in data_list: # dict[str(key)]+=1 # sorted(dict.items(),key=lambda x:x[1])#默认是降序 # print(dict)

[ "15850680911@163.com" ]

15850680911@163.com

59435a7f2df6ad87a54f3cb9be8871b61d922a66

71864f24ea02e031a39572373e16bdfbc61df15e

/Rare7_DP/wons/1005_ACMCraft.py

8ce324117f0d936dc0cdb580a9866fc62afe4381

[]

no_license

kanghuiseon/algorithmStudy

38c6401e10830e1fcdba46e8fb0662110af73547

dd038391f0562368cfaeda0cfb7c4cd328d884a6

refs/heads/master

2023-08-12T10:44:11.743292

2021-09-14T07:36:27

380,399,403

0

4

null

2021-09-14T07:29:14

2021-06-26T02:48:49

C++

UTF-8

Python

false

821

py

import sys from collections import deque read = sys.stdin.readline def bfs(ed) : q = deque() dp = [0 for _ in range(N+1)] for i in range(1,N+1) : if before[i] == 0 : q.append(i) dp[i] = cost[i-1] while q : cur = q.popleft() for nx in adjs[cur] : dp[nx] = max(dp[nx],dp[cur]+cost[nx-1]) before[nx] -= 1 if before[nx] == 0 : q.append(nx) return dp[ed] T = int(read()) for _ in range(T) : N,K = map(int,read().split()) cost = list(map(int,read().split())) adjs = [[] for _ in range(N+1)] before = [0 for _ in range(N+1)] for _ in range(K) : x,y = map(int,read().split()) adjs[x].append(y) before[y] += 1 W = int(read()) print(bfs(W))

[ "noreply@github.com" ]

kanghuiseon.noreply@github.com

7553076b98cac49868ef486a3f58bd686e5fce79

e23a4f57ce5474d468258e5e63b9e23fb6011188

/125_algorithms/_exercises/templates/_algorithms_challenges/pybites/beginner/beginner-bite-257-extract-users-dict-from-multiline-string.py

b76dcd0f676c24ed898b3a7e8d0130ba21c80bfe

[]

no_license

syurskyi/Python_Topics

52851ecce000cb751a3b986408efe32f0b4c0835

be331826b490b73f0a176e6abed86ef68ff2dd2b

refs/heads/master

2023-06-08T19:29:16.214395

2023-05-29T17:09:11

220,583,118

3

2

null

2023-02-16T03:08:10

2019-11-09T02:58:47

Python

UTF-8

Python

false

1,615

py

""" A quick Bite to practice some string parsing extracting a users dict from a password file. Complete get_users is how it works: {'postfix': 'unknown', 'ssh-rsa': 'unknown', 'artagnon': 'Ramkumar R Git GSOC'} So keys are usernames, values are names. Note that commas inside the name get replace by a single space. Trailing commas (not in this example) get stripped off. Have fun and keep calm and code in Python! """ ____ t___ _______ D.. pw "\nmysql:x:106:107:MySQL Server,,,:/var/lib/mysql:/bin/false\navar:x:1000:1000::/home/avar:/bin/bash\nchad:x:1001:1001::/home/chad:/bin/bash\ngit-svn-mirror:x:1002:1002:Git mirror,,,:/home/git-svn-mirror:/bin/bash\ngerrit2:x:1003:1003:Gerrit User,,,:/home/gerrit2:/bin/bash\navahi:x:107:108:Avahi mDNS daemon,,,:/var/run/avahi-daemon:/bin/false\npostfix:x:108:112::/var/spool/postfix:/bin/false\nssh-rsa:x:1004:1004::/home/ssh-rsa:/bin/bash\nartagnon:x:1005:1005:Ramkumar R,,,,Git GSOC:/home/artagnon:/bin/bash\n" _______ __ ___ get_users_1st_solution passwd: s.. __ d.. result # dict passwd ?.s...('\n') lines passwd.s..('\n') ___ line __ lines: fields line.s..(':') k fields[0] v fields[4] __ v __ "": v "unknown" ____ v __.sub(',+', ' ', v) v v.s.. result[k] v r..(result) ___ get_users_2nd_solution passwd: s.. __ d.. output # dict ___ row __ passwd.s...s.. fields row.s..(':') username fields[0] name __.s.. _ ,+', r' ', fields[4].s..(',' o. 'unknown' output[username] name r.. ? print(get_users(pw

[ "sergejyurskyj@yahoo.com" ]

sergejyurskyj@yahoo.com

8e87682b4371d274864b66e790e7d04c57bf3e3d

319d64b33c52d59ecc2ccdbccf4255ec952e9d73

/config_old.py

b3b5966d366b2524534feb16be544ac3f7f048b4

[]

no_license

CeramiqueHeart/keyhac

9a0139557c4e19e5b881cb8d01ae52777931bc51

8796800af0426a0ba906d040ab04f3d3b47c85a7

refs/heads/master

2020-12-22T13:41:58.219140

2016-07-07T09:46:42

62,709,171

0

null

UTF-8

Python

false

30,696

py

# -*- mode: python; coding: utf-8-dos -*- ## ## Windows の操作を emacs のキーバインドで行うための設定（keyhac版） ## # このスクリプトは、keyhac で動作します。 # https://sites.google.com/site/craftware/keyhac # スクリプトですので、使いやすいようにカスタマイズしてご利用ください。 # # この内容は、utf-8-dos の coding-system で config.py の名前でセーブして # 利用してください。また、このスクリプトの最後の方にキーボードマクロの # キーバインドの設定があります。英語キーボードと日本語キーボードで設定の # 内容を変える必要があるので、利用しているキーボードに応じて if文の設定を # 変更してください。（現在の設定は、日本語キーボードとなっています。） # # emacs の挙動と明らかに違う動きの部分は以下のとおりです。 # ・左の Ctrlキーと Altキーのみが、emacs用のキーとして認識される。 # ・ESC の二回押下で、ESC を入力できる。 # ・C-o と C-\ で IME の切り替えが行われる。 # ・C-c、C-z は、Windows の「コピー」、「取り消し」が機能するようにしている。 # ・C-x C-y で、クリップボード履歴を表示する。（C-n で選択を移動し、Enter で確定する） # ・C-x o は、一つ前にフォーカスがあったウインドウに移動する。 # NTEmacs から Windowsアプリケーションソフトを起動した際に戻るのに便利。 # ・C-k を連続して実行しても、クリップボードへの削除文字列の蓄積は行われない。 # C-u による行数指定をすると、削除行を一括してクリップボードに入れることができる。 # ・C-l は、アプリケーションソフト個別対応とする。recenter 関数で個別に指定すること。 # この設定では、Sakura Editor のみ対応している。 # ・キーボードマクロは emacs の挙動と異なり、IME の変換キーも含めた入力したキー # そのものを記録する。このため、キーボードマクロ記録時や再生時、IMEの状態に留意した # 利用が必要。 # ・Excel の場合、^Enter に F2（セル編集モード移行）を割り当てている。（オプション） # ・Emacs の場合、IME 切り替え用のキーを C-\ に置き換える方法を提供している。（オプション） from time import sleep from keyhac import * def configure(keymap): # emacs のキーバインドに"したくない"アプリケーションソフトを指定する（False を返す） # keyhac のメニューから「内部ログ」を ON にすると processname や classname を確認することができます def is_emacs_target(window): if window.getProcessName() in ("cmd.exe", # cmd "mintty.exe", # mintty "emacs.exe", # Emacs "runemacs.exe", # Emacs "gvim.exe", # GVim # "eclipse.exe", # Eclipse "xyzzy.exe", # xyzzy "VirtualBox.exe", # VirtualBox "XWin.exe", # Cygwin/X "Xming.exe", # Xming "putty.exe", # PuTTY "ttermpro.exe", # TeraTerm "MobaXterm.exe", # MobaXterm "TurboVNC.exe", # TurboVNC "vncviewer.exe", # UltraVNC "mstsc.exe"): # Remote Desktop return False return True # input method の切り替え"のみをしたい"アプリケーションソフトを指定する（True を返す） # 指定できるアプリケーションソフトは、is_emacs_target で除外指定したものからのみとする def is_im_target(window): if window.getProcessName() in ("cmd.exe", # cmd "mintty.exe", # mintty "gvim.exe", # GVim # "eclipse.exe", # Eclipse "xyzzy.exe", # xyzzy "putty.exe", # PuTTY "ttermpro.exe", # TeraTerm "MobaXterm.exe"): # MobaXterm return True return False keymap_emacs = keymap.defineWindowKeymap(check_func=is_emacs_target) keymap_im = keymap.defineWindowKeymap(check_func=is_im_target) # mark がセットされると True になる keymap_emacs.is_marked = False # 検索が開始されると True になる keymap_emacs.is_searching = False # キーボードマクロの play 中は True になる keymap_emacs.is_playing_kmacro = False # universal-argument コマンドが実行されると True になる keymap_emacs.is_universal_argument = False # digit-argument コマンドが実行されると True になる keymap_emacs.is_digit_argument = False # コマンドのリピート回数を設定する keymap_emacs.repeat_counter = 1 ######################################################################## ## IMEの切替え ######################################################################## def toggle_input_method(): keymap.InputKeyCommand("A-(25)")() if 1: if keymap_emacs.is_playing_kmacro == False: sleep(0.05) # delay # IME の状態を取得する if keymap.wnd.getImeStatus(): message = "あ" else: message = "A" # IMEの状態をバルーンヘルプで表示する keymap.popBalloon("ime_status", message, 200) def enable_input_method(): keymap.wnd.setImeStatus(1) display_input_method_status() def disable_input_method(): keymap.wnd.setImeStatus(0) display_input_method_status() def display_input_method_status(): if keymap_emacs.is_playing_kmacro == False: sleep(0.05) # delay # IME の状態を取得する if keymap.wnd.getImeStatus(): message = "あ" else: message = "A" # IMEの状態をバルーンヘルプで表示する keymap.popBalloon("ime_status", message, 200) ######################################################################## ## ファイル操作 ######################################################################## def find_file(): keymap.InputKeyCommand("C-o")() def save_buffer(): keymap.InputKeyCommand("C-s")() def write_file(): keymap.InputKeyCommand("A-f", "A-a")() ######################################################################## ## カーソル移動 ######################################################################## def backward_char(): keymap.InputKeyCommand("Left")() def forward_char(): keymap.InputKeyCommand("Right")() def backward_word(): keymap.InputKeyCommand("C-Left")() def forward_word(): keymap.InputKeyCommand("C-Right")() def previous_line(): keymap.InputKeyCommand("Up")() def next_line(): keymap.InputKeyCommand("Down")() def move_beginning_of_line(): keymap.InputKeyCommand("Home")() def move_end_of_line(): keymap.InputKeyCommand("End")() if keymap.getWindow().getClassName() == "_WwG": # Microsoft Word if keymap_emacs.is_marked: keymap.InputKeyCommand("Left")() def beginning_of_buffer(): keymap.InputKeyCommand("C-Home")() def end_of_buffer(): keymap.InputKeyCommand("C-End")() def scroll_up(): keymap.InputKeyCommand("PageUp")() def scroll_down(): keymap.InputKeyCommand("PageDown")() def recenter(): if keymap.getWindow().getClassName() == "EditorClient": # Sakura Editor keymap.InputKeyCommand("C-h")() ######################################################################## ## カット / コピー / 削除 / アンドゥ ######################################################################## def delete_backward_char(): keymap.InputKeyCommand("Back")() def delete_char(): keymap.InputKeyCommand("Delete")() def backward_kill_word(): keymap.InputKeyCommand("C-S-Left", "C-x")() def kill_word(): keymap.InputKeyCommand("C-S-Right", "C-x")() def kill_line(): keymap_emacs.is_marked = True mark(move_end_of_line)() keymap.InputKeyCommand("C-c", "Delete")() def kill_line2(): if keymap_emacs.repeat_counter == 1: kill_line() else: keymap_emacs.is_marked = True if keymap.getWindow().getClassName() == "_WwG": # Microsoft Word for i in range(keymap_emacs.repeat_counter): mark(next_line)() mark(move_beginning_of_line)() else: for i in range(keymap_emacs.repeat_counter - 1): mark(next_line)() mark(move_end_of_line)() mark(forward_char)() kill_region() def kill_region(): keymap.InputKeyCommand("C-x")() def kill_ring_save(): keymap.InputKeyCommand("C-c")() if keymap.getWindow().getClassName() == "EditorClient": # Sakura Editor # 選択されているリージョンのハイライトを解除するために Esc を発行する keymap.InputKeyCommand("Esc")() def windows_copy(): keymap.InputKeyCommand("C-c")() def yank(): keymap.InputKeyCommand("C-v")() def undo(): keymap.InputKeyCommand("C-z")() def set_mark_command(): if keymap_emacs.is_marked: keymap_emacs.is_marked = False else: keymap_emacs.is_marked = True def mark_whole_buffer(): if keymap.getWindow().getClassName().startswith("EXCEL"): # Microsoft Excel # Excel のセルの中でも機能するようにする対策 keymap.InputKeyCommand("C-End", "C-S-Home")() else: keymap.InputKeyCommand("C-Home", "C-a")() def mark_page(): mark_whole_buffer() def open_line(): keymap.InputKeyCommand("Enter", "Up", "End")() ######################################################################## ## バッファ / ウインドウ操作 ######################################################################## def kill_buffer(): keymap.InputKeyCommand("C-F4")() def other_window(): keymap.InputKeyCommand("D-Alt")() keymap.InputKeyCommand("Tab")() sleep(0.01) # delay keymap.InputKeyCommand("U-Alt")() ######################################################################## ## 文字列検索 / 置換 ######################################################################## def isearch_backward(): if keymap_emacs.is_searching: if keymap.getWindow().getProcessName() == "EXCEL.EXE": # Microsoft Excel if keymap.getWindow().getClassName() == "EDTBX": # 検索ウィンドウ keymap.InputKeyCommand("A-S-f")() else: keymap.InputKeyCommand("C-f")() else: keymap.InputKeyCommand("S-F3")() else: keymap.InputKeyCommand("C-f")() keymap_emacs.is_searching = True def isearch_forward(): if keymap_emacs.is_searching: if keymap.getWindow().getProcessName() == "EXCEL.EXE": # Microsoft Excel if keymap.getWindow().getClassName() == "EDTBX": # 検索ウィンドウ keymap.InputKeyCommand("A-f")() else: keymap.InputKeyCommand("C-f")() else: keymap.InputKeyCommand("F3")() else: keymap.InputKeyCommand("C-f")() keymap_emacs.is_searching = True ######################################################################## ## キーボードマクロ ######################################################################## def kmacro_start_macro(): keymap.command_RecordStart() def kmacro_end_macro(): keymap.command_RecordStop() # キーボードマクロの終了キー C-x ) の C-x がマクロに記録されてしまうのを削除する # キーボードマクロの終了キーの前提を C-x ) としていることについては、とりえず了承ください if len(keymap.record_seq) >= 4: if (((keymap.record_seq[len(keymap.record_seq) - 1] == (162, True) and # U-LCtrl keymap.record_seq[len(keymap.record_seq) - 2] == ( 88, True)) or # U-X (keymap.record_seq[len(keymap.record_seq) - 1] == ( 88, True) and # U-X keymap.record_seq[len(keymap.record_seq) - 2] == (162, True))) and # U-LCtrl keymap.record_seq[len(keymap.record_seq) - 3] == (88, False)): # D-X keymap.record_seq.pop() keymap.record_seq.pop() keymap.record_seq.pop() if keymap.record_seq[len(keymap.record_seq) - 1] == (162, False): # D-LCtrl for i in range(len(keymap.record_seq) - 1, -1, -1): if keymap.record_seq[i] == (162, False): # D-LCtrl keymap.record_seq.pop() else: break else: # コントロール系の入力が連続して行われる場合があるための対処 keymap.record_seq.append((162, True)) # U-LCtrl def kmacro_end_and_call_macro(): keymap_emacs.is_playing_kmacro = True keymap.command_RecordPlay() keymap_emacs.is_playing_kmacro = False ######################################################################## ## その他 ######################################################################## def newline(): keymap.InputKeyCommand("Enter")() def newline_and_indent(): keymap.InputKeyCommand("Enter", "Tab")() def indent_for_tab_command(): keymap.InputKeyCommand("Tab")() def keybord_quit(): if not keymap.getWindow().getClassName().startswith("EXCEL"): # Microsoft Excel 以外 # 選択されているリージョンのハイライトを解除するために Esc を発行しているが、 # アプリケーションソフトによっては効果なし # keymap.InputKeyCommand("Esc")() keymap.InputKeyCommand("Left")() keymap.InputKeyCommand("Right")() keymap.command_RecordStop() def kill_emacs(): keymap.InputKeyCommand("A-F4")() def universal_argument(): if keymap_emacs.is_universal_argument == True: if keymap_emacs.is_digit_argument == True: keymap_emacs.is_universal_argument = False else: keymap_emacs.repeat_counter = keymap_emacs.repeat_counter * 4 else: keymap_emacs.is_universal_argument = True keymap_emacs.repeat_counter = keymap_emacs.repeat_counter * 4 def digit_argument(number): if keymap_emacs.is_digit_argument == True: keymap_emacs.repeat_counter = keymap_emacs.repeat_counter * 10 + number else: keymap_emacs.repeat_counter = number keymap_emacs.is_digit_argument = True def clipboard_list(): keymap_emacs.is_marked = False keymap.command_ClipboardList() def goto_line(): keymap.InputKeyCommand("C-g")() ######################################################################## ## 共通関数 ######################################################################## def self_insert_command(key): return keymap.InputKeyCommand(key) def digit(number): def _digit(): if keymap_emacs.is_universal_argument == True: digit_argument(number) else: reset_counter(reset_mark(repeat(keymap.InputKeyCommand(str(number)))))() return _digit def digit2(number): def _digit2(): keymap_emacs.is_universal_argument = True digit_argument(number) return _digit2 def mark(func): def _mark(): if keymap_emacs.is_marked: # D-Shift だと、M-< や M-> 押下時に、D-Shift が解除されてしまう。その対策。 keymap.InputKeyCommand("D-LShift")() keymap.InputKeyCommand("D-RShift")() func() if keymap_emacs.is_marked: keymap.InputKeyCommand("U-LShift")() keymap.InputKeyCommand("U-RShift")() return _mark def reset_mark(func): def _reset_mark(): func() keymap_emacs.is_marked = False return _reset_mark def reset_counter(func): def _reset_counter(): func() keymap_emacs.is_universal_argument = False keymap_emacs.is_digit_argument = False keymap_emacs.repeat_counter = 1 return _reset_counter def reset_search(func): def _reset_search(): func() keymap_emacs.is_searching = False return _reset_search def repeat(func): def _repeat(): repeat_counter = keymap_emacs.repeat_counter keymap_emacs.repeat_counter = 1 for i in range(repeat_counter): func() return _repeat def repeat2(func): def _repeat2(): if keymap_emacs.is_marked == True: keymap_emacs.repeat_counter = 1 repeat(func)() return _repeat2 ######################################################################## ## キーバインド ######################################################################## # http://homepage3.nifty.com/ic/help/rmfunc/vkey.htm # http://www.azaelia.net/factory/vk.html ## マルチストロークキーの設定 # keymap_emacs["Esc"] = keymap.defineMultiStrokeKeymap("Esc") keymap_emacs["LC-OpenBracket"] = keymap.defineMultiStrokeKeymap("C-OpenBracket") keymap_emacs["LC-x"] = keymap.defineMultiStrokeKeymap("C-x") keymap_emacs["LC-q"] = keymap.defineMultiStrokeKeymap("C-q") # IM制御用マルチストロークキーの追加 keymap_emacs["LC-o"] = keymap.defineMultiStrokeKeymap("C-o") ## 0-9キーの設定 for key in range(10): keymap_emacs[ str(key)] = digit(key) # keymap_emacs["LC-" + str(key)] = digit2(key) # keymap_emacs["LA-" + str(key)] = digit2(key) # keymap_emacs["Esc"][ str(key)] = digit2(key) keymap_emacs["LC-OpenBracket"][str(key)] = digit2(key) keymap_emacs["S-" + str(key)] = reset_counter(reset_mark(repeat(self_insert_command("S-" + str(key))))) ## SPACE, A-Zキーの設定 for vkey in [32] + list(range(65, 90 + 1)): keymap_emacs[ "(" + str(vkey) + ")"] = reset_counter(reset_mark(repeat(self_insert_command( "(" + str(vkey) + ")")))) keymap_emacs["S-(" + str(vkey) + ")"] = reset_counter(reset_mark(repeat(self_insert_command("S-(" + str(vkey) + ")")))) ## 10key の特殊文字キーの設定 for vkey in [106, 107, 109, 110, 111]: keymap_emacs[ "(" + str(vkey) + ")"] = reset_counter(reset_mark(repeat(self_insert_command( "(" + str(vkey) + ")")))) ## 特殊文字キーの設定 for vkey in list(range(186, 192 + 1)) + list(range(219, 222 + 1)) + [226]: keymap_emacs[ "(" + str(vkey) + ")"] = reset_counter(reset_mark(repeat(self_insert_command( "(" + str(vkey) + ")")))) keymap_emacs["S-(" + str(vkey) + ")"] = reset_counter(reset_mark(repeat(self_insert_command("S-(" + str(vkey) + ")")))) ## quoted-insertキーの設定 for vkey in range(1, 255): keymap_emacs["LC-q"][ "(" + str(vkey) + ")"] = reset_search(reset_counter(reset_mark(repeat(self_insert_command( "(" + str(vkey) + ")"))))) keymap_emacs["LC-q"]["S-(" + str(vkey) + ")"] = reset_search(reset_counter(reset_mark(repeat(self_insert_command("S-(" + str(vkey) + ")"))))) keymap_emacs["LC-q"]["C-(" + str(vkey) + ")"] = reset_search(reset_counter(reset_mark(repeat(self_insert_command("C-(" + str(vkey) + ")"))))) keymap_emacs["LC-q"]["C-S-(" + str(vkey) + ")"] = reset_search(reset_counter(reset_mark(repeat(self_insert_command("C-S-(" + str(vkey) + ")"))))) keymap_emacs["LC-q"]["A-(" + str(vkey) + ")"] = reset_search(reset_counter(reset_mark(repeat(self_insert_command("A-(" + str(vkey) + ")"))))) keymap_emacs["LC-q"]["A-S-(" + str(vkey) + ")"] = reset_search(reset_counter(reset_mark(repeat(self_insert_command("A-S-(" + str(vkey) + ")"))))) ## Esc の二回押しを Esc とする設定 # keymap_emacs["Esc"]["Esc"] = reset_counter(self_insert_command("Esc")) # keymap_emacs["LC-OpenBracket"]["C-OpenBracket"] = reset_counter(self_insert_command("Esc")) ## universal-argumentキーの設定 keymap_emacs["LC-u"] = universal_argument ## 「IMEの切替え」のキー設定 keymap_emacs["(243)"] = toggle_input_method keymap_emacs["(244)"] = toggle_input_method keymap_emacs["LA-(25)"] = toggle_input_method keymap_emacs["LC-Yen"] = toggle_input_method # keymap_emacs["LC-o"] = toggle_input_method # or open_line keymap_emacs["LC-o"]["LC-o"] = enable_input_method keymap_emacs["LC-o"]["LC-i"] = disable_input_method keymap_im["(243)"] = toggle_input_method keymap_im["(244)"] = toggle_input_method keymap_im["LA-(25)"] = toggle_input_method keymap_im["LC-Yen"] = toggle_input_method keymap_im["LC-o"] = toggle_input_method ## 「ファイル操作」のキー設定 keymap_emacs["LC-x"]["C-f"] = reset_search(reset_counter(reset_mark(find_file))) keymap_emacs["LC-x"]["C-s"] = reset_search(reset_counter(reset_mark(save_buffer))) keymap_emacs["LC-x"]["C-w"] = reset_search(reset_counter(reset_mark(write_file))) ## 「カーソル移動」のキー設定 keymap_emacs["LC-b"] = reset_search(reset_counter(repeat(mark(backward_char)))) keymap_emacs["LC-f"] = reset_search(reset_counter(repeat(mark(forward_char)))) keymap_emacs["LA-b"] = reset_search(reset_counter(repeat(mark(backward_word)))) # keymap_emacs["Esc"]["b"] = reset_search(reset_counter(repeat(mark(backward_word)))) keymap_emacs["LC-OpenBracket"]["b"] = reset_search(reset_counter(repeat(mark(backward_word)))) keymap_emacs["LA-f"] = reset_search(reset_counter(repeat(mark(forward_word)))) # keymap_emacs["Esc"]["f"] = reset_search(reset_counter(repeat(mark(forward_word)))) keymap_emacs["LC-OpenBracket"]["f"] = reset_search(reset_counter(repeat(mark(forward_word)))) keymap_emacs["LC-p"] = reset_search(reset_counter(repeat(mark(previous_line)))) keymap_emacs["LC-n"] = reset_search(reset_counter(repeat(mark(next_line)))) keymap_emacs["LC-a"] = reset_search(reset_counter(mark(move_beginning_of_line))) keymap_emacs["LC-e"] = reset_search(reset_counter(mark(move_end_of_line))) keymap_emacs["LA-S-Comma"] = reset_search(reset_counter(mark(beginning_of_buffer))) # keymap_emacs["Esc"]["S-Comma"] = reset_search(reset_counter(mark(beginning_of_buffer))) keymap_emacs["LC-OpenBracket"]["S-Comma"] = reset_search(reset_counter(mark(beginning_of_buffer))) keymap_emacs["LA-S-Period"] = reset_search(reset_counter(mark(end_of_buffer))) # keymap_emacs["Esc"]["S-Period"] = reset_search(reset_counter(mark(end_of_buffer))) keymap_emacs["LC-OpenBracket"]["S-Period"] = reset_search(reset_counter(mark(end_of_buffer))) keymap_emacs["LA-v"] = reset_search(reset_counter(mark(scroll_up))) # keymap_emacs["Esc"]["v"] = reset_search(reset_counter(mark(scroll_up))) keymap_emacs["LC-OpenBracket"]["v"] = reset_search(reset_counter(mark(scroll_up))) keymap_emacs["LC-v"] = reset_search(reset_counter(mark(scroll_down))) keymap_emacs["LC-l"] = reset_search(reset_counter(recenter)) keymap_emacs["LC-x"]["C-g"] = reset_search(reset_counter(reset_mark(goto_line))) ## 「カット / コピー / 削除 / アンドゥ」のキー設定 keymap_emacs["LC-h"] = reset_search(reset_counter(reset_mark(repeat2(delete_backward_char)))) keymap_emacs["LC-d"] = reset_search(reset_counter(reset_mark(repeat2(delete_char)))) # keymap_emacs["LC-Back"] = reset_search(reset_counter(reset_mark(repeat(backward_kill_word)))) keymap_emacs["LA-Delete"] = reset_search(reset_counter(reset_mark(repeat(backward_kill_word)))) # keymap_emacs["Esc"]["Delete"] = reset_search(reset_counter(reset_mark(repeat(backward_kill_word)))) keymap_emacs["LC-OpenBracket"]["Delete"] = reset_search(reset_counter(reset_mark(repeat(backward_kill_word)))) keymap_emacs["LC-Delete"] = reset_search(reset_counter(reset_mark(repeat(kill_word)))) keymap_emacs["LA-d"] = reset_search(reset_counter(reset_mark(repeat(kill_word)))) # keymap_emacs["Esc"]["d"] = reset_search(reset_counter(reset_mark(repeat(kill_word)))) keymap_emacs["LC-OpenBracket"]["d"] = reset_search(reset_counter(reset_mark(repeat(kill_word)))) keymap_emacs["LC-k"] = reset_search(reset_counter(reset_mark(kill_line2))) keymap_emacs["LC-w"] = reset_search(reset_counter(reset_mark(kill_region))) keymap_emacs["LA-w"] = reset_search(reset_counter(reset_mark(kill_ring_save))) # keymap_emacs["Esc"]["w"] = reset_search(reset_counter(reset_mark(kill_ring_save))) keymap_emacs["LC-OpenBracket"]["w"] = reset_search(reset_counter(reset_mark(kill_ring_save))) keymap_emacs["LC-c"] = reset_search(reset_counter(reset_mark(windows_copy))) keymap_emacs["LC-y"] = reset_search(reset_counter(reset_mark(yank))) keymap_emacs["LC-z"] = reset_search(reset_counter(reset_mark(undo))) keymap_emacs["LC-Slash"] = reset_search(reset_counter(reset_mark(undo))) keymap_emacs["LC-Underscore"] = reset_search(reset_counter(reset_mark(undo))) keymap_emacs["LC-x"]["u"] = reset_search(reset_counter(reset_mark(undo))) # LC-Atmark とすると英語キーボードで LC-2 が横取りされるので、LC-(192) としている keymap_emacs["LC-(192)"] = reset_search(reset_counter(set_mark_command)) keymap_emacs["LC-Space"] = reset_search(reset_counter(set_mark_command)) keymap_emacs["LC-x"]["h"] = reset_search(reset_counter(reset_mark(mark_whole_buffer))) keymap_emacs["LC-x"]["C-p"] = reset_search(reset_counter(reset_mark(mark_page))) ## 「バッファ / ウインドウ操作」のキー設定 keymap_emacs["LC-x"]["k"] = reset_search(reset_counter(reset_mark(kill_buffer))) keymap_emacs["LC-x"]["o"] = reset_search(reset_counter(reset_mark(other_window))) ## 「文字列検索 / 置換」のキー設定 keymap_emacs["LC-r"] = reset_counter(reset_mark(isearch_backward)) keymap_emacs["LC-s"] = reset_counter(reset_mark(isearch_forward)) ## 「キーボードマクロ」のキー設定 if 1: # 日本語キーボードの場合 keymap_emacs["LC-x"]["S-8"] = kmacro_start_macro keymap_emacs["LC-x"]["S-9"] = kmacro_end_macro else: # 英語キーボードの場合 keymap_emacs["LC-x"]["S-9"] = kmacro_start_macro keymap_emacs["LC-x"]["S-0"] = kmacro_end_macro keymap_emacs["LC-x"]["e"] = reset_search(reset_counter(repeat(kmacro_end_and_call_macro))) ## 「その他」のキー設定 keymap_emacs["LC-m"] = reset_counter(reset_mark(repeat(newline))) keymap_emacs["Enter"] = reset_counter(reset_mark(repeat(newline))) keymap_emacs["LC-j"] = reset_counter(reset_mark(newline_and_indent)) keymap_emacs["LC-i"] = reset_counter(reset_mark(repeat(indent_for_tab_command))) keymap_emacs["Tab"] = reset_counter(reset_mark(repeat(indent_for_tab_command))) keymap_emacs["LC-g"] = reset_search(reset_counter(reset_mark(keybord_quit))) keymap_emacs["LC-x"]["C-c"] = reset_search(reset_counter(reset_mark(kill_emacs))) keymap_emacs["LC-x"]["C-y"] = reset_search(reset_counter(reset_mark(clipboard_list))) ## Excel のキー設定（オプション） if 1: keymap_excel = keymap.defineWindowKeymap(class_name='EXCEL*') # C-Enter 押下で、「セル編集モード」に移行する keymap_excel["LC-Enter"] = reset_search(reset_counter(reset_mark(self_insert_command("F2")))) ## Emacs のキー設定（オプション） if 0: keymap_real_emacs = keymap.defineWindowKeymap(class_name='Emacs') # IME 切り替え用のキーを C-\ に置き換える keymap_real_emacs["(28)"] = self_insert_command("C-Yen") # 「変換」キー keymap_real_emacs["(29)"] = self_insert_command("C-Yen") # 「無変換」キー keymap_real_emacs["(242)"] = self_insert_command("C-Yen") # 「カタカナ・ひらがな」キー keymap_real_emacs["(243)"] = self_insert_command("C-Yen") # 「半角／全角」キー keymap_real_emacs["(244)"] = self_insert_command("C-Yen") # 「半角／全角」キー keymap_real_emacs["A-(25)"] = self_insert_command("C-Yen") # 「Alt-`」キー

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import sys import os sys.path.append(os.path.join(os.path.dirname(__file__))) import argparse import glob import json import shutil from pathlib import Path import numpy as np import torch import yaml from tqdm import tqdm from helper.datasets import create_dataloader from helper.general import ( compute_loss, non_max_suppression, clip_coords, xywh2xyxy, box_iou, ap_per_class) from helper.torch_utils import select_device, time_synchronized class obj(object): def __init__(self, d): for a, b in d.items(): if isinstance(b, (list, tuple)): setattr(self, a, [obj(x) if isinstance(x, dict) else x for x in b]) else: setattr(self, a, obj(b) if isinstance(b, dict) else b) def test(data, opt, imgsz=640, model=None, save_dir=Path(''), # for saving images ): batch_size = 16 conf_thres = 0.001 iou_thres = 0.6 augment = False verbose=False save_dir=Path('') device = next(model.parameters()).device # get model device # Half half = device.type != 'cpu' # half precision only supported on CUDA if half: model.half() # Configure model.eval() with open(data) as f: data = yaml.load(f, Loader=yaml.FullLoader) # model dict nc = int(data['nc']) # number of classes iouv = torch.linspace(0.5, 0.95, 10).to(device) # iou vector for mAP@0.5:0.95 niou = iouv.numel() # Dataloader img = torch.zeros((1, 3, imgsz, imgsz), device=device) # init img _ = model(img.half() if half else img) if device.type != 'cpu' else None # run once path = data['test'] if not path: return {} dataloader = create_dataloader(path, imgsz, batch_size, model.stride.max(), opt, hyp=None, augment=False, cache=False, pad=0.5, rect=True)[0] seen = 0 names = model.names if hasattr(model, 'names') else model.module.names s = ('%20s' + '%12s' * 6) % ('Class', 'Images', 'Targets', 'P', 'R', 'mAP@.5', 'mAP@.5:.95') p, r, f1, mp, mr, map50, map, t0, t1 = 0., 0., 0., 0., 0., 0., 0., 0., 0. loss = torch.zeros(3, device=device) jdict, stats, ap, ap_class = [], [], [], [] for batch_i, (img, targets, paths, shapes) in enumerate(dataloader): img = img.to(device, non_blocking=True) img = img.half() if half else img.float() # uint8 to fp16/32 img /= 255.0 # 0 - 255 to 0.0 - 1.0 targets = targets.to(device) nb, _, height, width = img.shape # batch size, channels, height, width whwh = torch.Tensor([width, height, width, height]).to(device) # Disable gradients with torch.no_grad(): # Run model t = time_synchronized() inf_out, train_out = model(img, augment=augment) # inference and training outputs t0 += time_synchronized() - t # Compute loss loss += compute_loss([x.float() for x in train_out], targets, model)[1][:3] # box, obj, cls # Run NMS t = time_synchronized() output = non_max_suppression(inf_out, conf_thres=conf_thres, iou_thres=iou_thres) t1 += time_synchronized() - t # Statistics per image for si, pred in enumerate(output): labels = targets[targets[:, 0] == si, 1:] nl = len(labels) tcls = labels[:, 0].tolist() if nl else [] # target class seen += 1 if pred is None: if nl: stats.append((torch.zeros(0, niou, dtype=torch.bool), torch.Tensor(), torch.Tensor(), tcls)) continue # Clip boxes to image bounds clip_coords(pred, (height, width)) # Assign all predictions as incorrect correct = torch.zeros(pred.shape[0], niou, dtype=torch.bool, device=device) if nl: detected = [] # target indices tcls_tensor = labels[:, 0] # target boxes tbox = xywh2xyxy(labels[:, 1:5]) * whwh # Per target class for cls in torch.unique(tcls_tensor): ti = (cls == tcls_tensor).nonzero(as_tuple=False).view(-1) # prediction indices pi = (cls == pred[:, 5]).nonzero(as_tuple=False).view(-1) # target indices # Search for detections if pi.shape[0]: # Prediction to target ious ious, i = box_iou(pred[pi, :4], tbox[ti]).max(1) # best ious, indices # Append detections detected_set = set() for j in (ious > iouv[0]).nonzero(as_tuple=False): d = ti[i[j]] # detected target if d.item() not in detected_set: detected_set.add(d.item()) detected.append(d) correct[pi[j]] = ious[j] > iouv # iou_thres is 1xn if len(detected) == nl: # all targets already located in image break # Append statistics (correct, conf, pcls, tcls) stats.append((correct.cpu(), pred[:, 4].cpu(), pred[:, 5].cpu(), tcls)) # Compute statistics stats = [np.concatenate(x, 0) for x in zip(*stats)] # to numpy if len(stats) and stats[0].any(): p, r, ap, f1, ap_class = ap_per_class(*stats, plot=False, fname=save_dir / 'precision-recall_curve.png') p, r, ap50, ap = p[:, 0], r[:, 0], ap[:, 0], ap.mean(1) # [P, R, AP@0.5, AP@0.5:0.95] mp, mr, map50, map = p.mean(), r.mean(), ap50.mean(), ap.mean() nt = np.bincount(stats[3].astype(np.int64), minlength=nc) # number of targets per class else: nt = torch.zeros(1) # Print results pf = '%20s' + '%12.3g' * 6 # print format print(pf % ('all', seen, nt.sum(), mp, mr, map50, map)) # Print results per class if verbose and nc > 1 and len(stats): for i, c in enumerate(ap_class): print(pf % (names[c], seen, nt[c], p[i], r[i], ap50[i], ap[i])) # Print speeds t = tuple(x / seen * 1E3 for x in (t0, t1, t0 + t1)) + (imgsz, imgsz, batch_size) # tuple # Return results model.float() # for training maps = np.zeros(nc) + map for i, c in enumerate(ap_class): maps[c] = ap[i] return { 'mp': mp, 'mr': mr, 'map50': map50, } def main(data, model, args): opt = obj({}) opt.single_cls = False return test( model.cfg.data, opt, model.cfg.imgsz, model=model.model ) sys.path.pop()

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queyue.crk@alibaba-inc.com

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tastycontrols/cobo-tools

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refs/heads/main

2023-07-15T17:34:13.638008

2021-08-25T04:41:50

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#!/usr/bin/env python3 # cobo.py # SLD 2021 # ############ # INITIALIZATION ############ # Imports import os, sys, json from datetime import datetime # Greet the user print("COBO, a cookbook (and cookbook build system) \nSLD 2021 \n") # Valid operation modes go here valid_modes = ["help", "build", "get-tags", "subset", "compile-md", "add-source"] # Set constants MD_LINEBREAK = "\n\n" # Initialize variables source_dir = None dest_dir = None input_filename = None output_filename = None tag = None mode = None # Begin parsing command line arguments # First, collect operation mode try: mode = sys.argv[1].lower() except: pass # Parse mode-dependent variables for raw_arg in sys.argv[2:]: this_arg = raw_arg.split("=") # Variables should occupy one argument, form of `ARG=VALUE` if len(this_arg) == 2: this_var = this_arg[0].lower() this_val = this_arg[1] # Assign variable values if this_var == "sources": source_dir = this_val if this_var == "input": input_filename = this_val if this_var == "output": output_filename = this_val if this_var == "tag": tag = this_val if this_var == "dest": dest_dir = this_val # Ensure mode has been specified or quit if(mode) and mode in valid_modes: pass else: quit("Valid operation mode required but not defined. Valid modes:\n\n"+ "\n".join("`"+md+"`" for md in valid_modes)+ "\n") # Test that all required arguments have been passed before continuing # `update` requires `sources=<<<SOURCE_DIR>>>` and `output=<<<OUTPUT_FILE>>>` print("Operation mode: `"+mode+"`") if mode == "build": if(source_dir): pass else: quit("Source directory required but not defined: try adding `sources=SOURCE_DIR`\n") if(output_filename): pass else: quit("Output filename required but not defined: try adding `output=OUTPUT_FILE`\n") if mode == "get-tags": if(input_filename): pass else: quit("Input filename required but not defined: try adding `input=INPUT_FILE`\n") if(output_filename): pass else: quit("Output filename required but not defined: try adding `output=OUTPUT_FILE`\n") if mode == "subset": if(tag): pass else: quit("Tag required but not defined: try adding `tag=TAG`\n") if(input_filename): pass else: quit("Input filename required but not defined: try adding `input=INPUT_FILE`\n") if(output_filename): pass else: quit("Output filename required but not defined: try adding `output=OUTPUT_FILE`\n") if mode == "compile-md": if(input_filename): pass else: quit("Input filename required but not defined: try adding `input=INPUT_FILE`\n") if(output_filename): pass else: quit("Output filename required but not defined: try adding `output=OUTPUT_FILE`\n") if mode == "add-source": if(dest_dir): pass else: quit("Destination directory required but not defined: try adding `dest=DEST_DIR`\n") ############ # OPERATION MODE `help` ############ if mode == "help": print("\nSyntax: python3 cobo.py OP_MODE ARG1 ARG2 ... ARGn") print() print("OP_MODE `help`: displays this help screen") print() print("OP_MODE `build`: build output JSON file from contents of a source directory") print("\tRequired argument `sources`: specifies directory containing source MD files") print("\tRequired argument `output`: specifies JSON output file name") print() print("OP_MODE `get-tags`: extract tags from input JSON file and output as plaintext file") print("\tRequired argument `input`: specifies JSON input file name") print("\tRequired argument `output`: specifies plaintext output file name") print() print("OP_MODE `subset`: extract subset of input JSON file by tag, and output as JSON file") print("\tRequired argument `tag`: specifies tag to extract recipes by") print("\tRequired argument `input`: specifies JSON input file name") print("\tRequired argument `output`: specifies JSON output file name") print() print("OP_MODE `compile-md`: compile Markdown cookbook from an input JSON file") print("\tRequired argument `input`: specifies JSON input file name") print("\tRequired argument `output`: specifies Markdown output file name") print() print("OP_MODE `add-source`: add new blank Markdown recipe to the specified source directory") print("\tRequired argument `dest`: specifies destination directory for new MD file") print() quit() ############ # OPERATION MODE `build` ############ if mode == "build": # Begin by polling the source directory for MD files files = os.listdir(source_dir+"/") recipes_to_parse=[] for indiv_file in files: if indiv_file[-2:].lower()=="md": recipes_to_parse.append(source_dir+"/"+indiv_file) # Begin collecting data data = {} for this_recipe in recipes_to_parse: # For this recipe, get the entire recipe body input_file = open(this_recipe, "r") full_text = [ln.strip("\n") for ln in input_file.readlines()] input_file.close() # Extract title, tags, and method title = full_text[0][2:] tags = [tg[1:-1] for tg in full_text[2][1:-1].split(",")] method = full_text[4:] # Define index (hash) and handle (derived from title) # Need these for downstream data manipulation and file creation index = this_recipe.split("/")[-1:][0][:-3] handle = "-".join(title.lower().split()) data[index] = { "handle":handle, "title":title, "tags":tags, "method":method } # Create JSON dump and write out with open(output_filename, "w") as output_file: output_file.write(json.dumps(data, indent=4)) # Clean up and finish output_file.close() quit("Successfully built `"+output_filename+"` from contents of `"+source_dir+"` \n") ############ # OPERATION MODE: `get-tags` ############ if mode == "get-tags": # Begin by loading the JSON input file input_file = open(input_filename, "r") data = json.load(input_file) input_file.close() # Pass through each recipe all_tags = [] for index in data: # Get the tags from this recipe this_recipe_tags = data[index]["tags"] # Add tags from this recipe to the global list if not already present for this_tag in this_recipe_tags: if this_tag not in all_tags: all_tags.append(this_tag) # Export tag list output_file = open(output_filename, "w") for this_tag in all_tags: output_file.write(this_tag+"\n") # Clean up and finish output_file.close() quit("Successfully extracted tags from `"+input_filename+"` to `"+output_filename+"` \n") ######### # OPERATION MODE: `subset` ############ if mode == "subset": # Begin by loading the JSON input file input_file = open(input_filename, "r") data = json.load(input_file) input_file.close() # Collect recipe indices citing the specified tag tagged_indices = [] for index in data: if tag in data[index]["tags"]: tagged_indices.append(index) # Clone tagged recipes into a new dictionary subset_data = {} for this_index in tagged_indices: # Get the data for this recipe this_handle = data[this_index]["handle"] this_title = data[this_index]["title"] this_tags = data[this_index]["tags"] this_method = data[this_index]["method"] # Add to the subset dictionary subset_data[this_index] = { "handle":this_handle, "title":this_title, "tags":this_tags, "method":this_method } # Create JSON dump and write out with open(output_filename, "w") as output_file: output_file.write(json.dumps(subset_data, indent=4)) # Clean up and finish output_file.close() quit("Successfully built `"+output_filename+"` from `"+input_filename+"` using tag `"+tag+"` \n") ######### # OPERATION MODE: `compile-md` ############ if mode == "compile-md": # Begin by loading the JSON input file input_file = open(input_filename, "r") data = json.load(input_file) input_file.close() # Pass through recipe indices toc = "" contents = "" for index in data: # Create title text and ToC link title_text = "## " + data[index]["title"] toc += "["+data[index]["title"]+"](#" toc += "-".join(data[index]["title"].lower().split()) toc += ")\\\n" # Create metadata text metadata_text = "#### COBO Metadata" metadata_text += "\n```\n" metadata_text += "index:" + index + "\n" metadata_text += "handle:" + data[index]["handle"] + "\n" metadata_text += "tags:" + str(data[index]["tags"]) + "\n" metadata_text += "```" # Create method text method_text = "" for line in data[index]["method"]: method_text += line + "\n" # Add recipe to contents text contents += " ___ \n" contents += title_text contents += MD_LINEBREAK contents += metadata_text contents += MD_LINEBREAK contents += method_text contents += MD_LINEBREAK + MD_LINEBREAK # Create Markdown file and write out output_file = open(output_filename, "w") output_file.write( "## Table Of Contents: ```" + input_filename+"```" +MD_LINEBREAK +toc +MD_LINEBREAK +contents ) # Clean up and finish output_file.close() quit("Successfully compiled `"+input_filename+"` to `"+output_filename+"` \n") ######### # OPERATION MODE: `add-source` ############ if mode == "add-source": # Generate a new source filename dt_obj = datetime.now() new_source = str(dt_obj.day).zfill(2) new_source += str(dt_obj.month).zfill(2) new_source += str(dt_obj.year).zfill(4) new_source += str(dt_obj.second).zfill(2) new_source += str(dt_obj.minute).zfill(2) new_source += str(dt_obj.hour).zfill(2) + ".md" # Clone recipe template into source directory, named as new source os.system("cp ./source.md.template "+dest_dir+"/"+new_source) # Clean up and finish quit("Successfully created new source `"+dest_dir+"/"+new_source+"` \n")

[ "noreply@github.com" ]

tastycontrols.noreply@github.com

0a7414dac806081fed5c5ae76e995858fc7b09ff

fcd999e8cd43188050796c7dfa63aff2b1fc5ebf

/agendaContacto/asgi.py

8786fa9f9dbcfd0734b4ef8b5d5f6c2bafcdd0cd

[]

no_license

cristopherhurtado/agendaContacto

2e9a9e614fbe058ad9aa54164ffc9e27aa71cd5f

b79f255613db5a543243c106da3bad0d9555365f

refs/heads/main

2023-02-05T04:18:26.794096

2020-12-14T03:53:28

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""" ASGI config for agendaContacto project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'agendaContacto.settings') application = get_asgi_application()

[ "cristopherhurtado@gmail.com" ]

cristopherhurtado@gmail.com

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94cd4506f23f3e0469a0f3fbcffa0d06b4eb7e0f

/pytorch-chatbot-master/chat.py

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permissive

FenilNavdiwala/NLPchatbot

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refs/heads/main

2023-04-22T00:15:14.334293

2021-05-06T10:19:57

364,976,458

0

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UTF-8

Python

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py

import random import json import argparse import torch import sys from model import NeuralNet from nltk_utils import bag_of_words, tokenize, syn from pymongo import MongoClient from bson import ObjectId # from train import ChatDataset device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') # Database Url nd Password client = MongoClient( "mongodb+srv://admin:admin123@cluster1.ycoy8.mongodb.net/myFirstDatabase?retryWrites=true&w=majority") db = client["myFirstDatabase"] # cahtbots is collection Name collection = db["chatbots"] y = collection.find({"_id": ObjectId("6051b174e1801a35d1336993")}) a = y.next() K = a['intents'] A = [] # Tag TP = [] # trainingphrase R = [] # response for i in range(len(K)): A.append(K[i]['intentName']) TP.append(K[i]['trainingPhrase']) R. append(K[i]['response']) FILE = "/home/fenil/nlp/pytorch-chatbot-master/data.pth" data = torch.load(FILE) input_size = data["input_size"] hidden_size = data["hidden_size"] output_size = data["output_size"] all_words = data['all_words'] A = data['tags'] model_state = data["model_state"] model = NeuralNet(input_size, hidden_size, output_size).to(device) model.load_state_dict(model_state) model.eval() bot_name = "Fenil" sentence = "what is AI?" # sentence = sys.argv[1] # print(sentence) _sentence = tokenize(sentence) X = bag_of_words(_sentence, all_words) X = X.reshape(1, X.shape[0]) X = torch.from_numpy(X).to(device) output = model(X) _, predicted = torch.max(output, dim=1) tag = A[predicted.item()] probs = torch.softmax(output, dim=1) prob = probs[0][predicted.item()] res = None # print(prob.item()) if prob.item() > 0.5: for data in K: if data['intentName'] == sentence or sentence in data["trainingPhrase"]: res = data['response'] print(res) break if not res: print(f"{bot_name}: I do not understand...")

[ "fenilnavdiwala088@gmail.com" ]

fenilnavdiwala088@gmail.com

73ebc481d008e79fbdd92ae312b284c8a5a42c45

d6e670718cb40912c83b89e4918c1d59c2ccd7da

/Assignment6/cas2.py

c380f7f95e09c38ed6338f566f239ba08563857d

[]

no_license

realTrueProger/PythonCourseSolovevGimaev

dc973a8112bf8ae843d7411d56b7bc35fd8d4cb2

255b7bc1986ee712e5169a2f5e4c8e6e06d8424b

refs/heads/master

2022-11-05T02:44:28.844425

2020-06-26T16:14:49

266,848,504

0

null

UTF-8

Python

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py

# check if chars are digit def is_digit(c): try: int(c) return True except ValueError: return False # check if the char is operation def is_operation(c): operations = ['+', '-'] if c in operations: return True else: return False def simplify(x): # we split everythhing in operations and operands operations = [] operands = [] for c in x.split(): if is_digit(c): operands.append(int(c)) elif is_operation(c): if not operands: print('err: invalid expression') return('error') else: operations.append(c) else: print('err: invalid expression') return('error') if len(operations) + 1 != len(operands): # check if number of operations relate to number of operands print('err: invalid expression') return('error') else: # compute the result result = operands[0] # we start with first operand for n, operation in enumerate(operations): if operation == '+': result += operands[n+1] else: result -= operands[n+1] return str(result) # split string by space def split_string(x): result = [] a = '' length = len(x) for n, c in enumerate(x): if c != ' ': a += c elif c == ' ': result.append(a) a = '' if len(x) == n+1: result.append(a) return result count = 0 results = [] while True: keyboard_input = input() if keyboard_input == 'exit': # condition on exit break else: # handle brackets open_brackets = False # first we do every operation in brackets # then expand them and compute everything else brackets_place = [] # list of list [start, end, result] for n, c in enumerate(split_string(keyboard_input)): if c.startswith("(") and not open_brackets: open_brackets = True brackets_place.append([n,0,0]) # bracket starts inside_bracket = c[1:] elif open_brackets: if c.endswith(")"): open_brackets = False inside_bracket += ' ' + c[:-1] brackets_place[-1][1] = n # bracket ends brackets_place[-1][2] = simplify(inside_bracket) # bracket result else: inside_bracket += ' ' + c elif c.startswith("[") and not open_brackets: brackets_place.append([n,0,0]) # bracket starts if c.endswith("]") and len(results) != 0: brackets_place[-1][1] = n # bracket ends brackets_place[-1][2] = results[int(c[1:-1])] # bracket result else: print('err: invalid expression') break elif not open_brackets and c.endswith(")"): print('err: invalid expression') break # replace everything inside the brackets brackets_place.reverse() new_keyboard_input = split_string(keyboard_input) for bracket in brackets_place: del new_keyboard_input[bracket[0]:bracket[1]+1] new_keyboard_input.insert(bracket[0], bracket[2]) # compute final result result = simplify(' '.join(new_keyboard_input)) if result != 'error': print(f'{count}: {result}') results.append(result) count += 1

[ "vovasollo@yandex.ru" ]

vovasollo@yandex.ru

ab15a0efaac07c70295a3d3f72269277df81f4d8

73ac971c75d395ce03c812cf60744a4d8ccb15ce

/accounts/models.py

1954119a5af0157048d1f25984629c17fd24a5cb

[]

no_license

SanketKesharwani/GreatKart

d92eed75a030059d86ea1fa6b44566f437165078

94f0f4a98e221c818594d960d4f691a55bf6dd71

refs/heads/main

2023-09-01T11:16:51.009342

2021-10-30T18:41:46

403,580,145

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from django.db import models from django.contrib.auth.models import AbstractUser,BaseUserManager # Create your models here. class MyAccountManager(BaseUserManager): def create_user(self,first_name,last_name,username,email,password): if not email: raise ValueError('NOT PROVIDED OR SEEMS WRONG') if not username: raise ValueError('USERNAME IS MANDATORY') user = self.model(first_name = first_name, last_name = last_name, email = self.normalize_email(email), username = username) user.set_password(password) user.save(using=self._db) return user def create_superuser(self,first_name,last_name,email,username,password): user = self.create_user(first_name = first_name, last_name = last_name, email = self.normalize_email(email), username = username, password = password,) user.is_active = True user.is_admin = True user.is_staff = True user.is_superuser = True user.save(using=self._db) return user class Account(AbstractUser): first_name = models.CharField(max_length=200) last_name = models.CharField(max_length=200) username = models.CharField(max_length=100) email = models.EmailField(max_length=100,unique=True) phone = models.CharField(max_length=20) #mandatory required fields date_created = models.DateTimeField(auto_now_add=True) last_login = models.DateTimeField(auto_now_add=True) is_admin = models.BooleanField(default=False) is_active = models.BooleanField(default=False) is_staff = models.BooleanField(default=False) is_superuser = models.BooleanField(default=False) USERNAME_FIELD = 'email' REQUIRED_FIELDS = ['username', 'first_name', 'last_name'] objects = MyAccountManager() def __str__(self): return self.email def has_perm(self, perm,obj=None): return self.is_admin def has_module_prems(self,add_lable): return True class UserProfile(models.Model): user = models.ForeignKey(Account, on_delete=models.CASCADE) address_line_1 = models.CharField(max_length=200,blank=True) address_line_2 = models.CharField(max_length=200,blank=True) city = models.CharField(max_length=50) state = models.CharField(max_length=50) country = models.CharField(max_length=50) profile_picture = models.ImageField(blank=True,upload_to='userprofile') def __str__(self): return self.user.first_name def full_address(self): return f'{self.address_line_1} {self.address_line_2}'

[ "98sanketkesharwani@gmail.com" ]

98sanketkesharwani@gmail.com

af316aa3e34b277b1454686a6fb25362fb4ce391

588fe4ea44b24fab42aef793facf0a85e6709497

/applesnake.py

80391c961070ef61165946107211d1423424f4b6

[]

no_license

KristenChing/Final_Project2

9ce169119151a54a03ce1b4efd303652f35b3b07

616ef6bf5506ed556ffd99b550ff2bda85f1bec6

refs/heads/master

2021-01-21T11:00:20.108438

2017-06-09T17:25:59

91,717,308

0

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3,092

py

import turtle import time import random wn = turtle.Screen() wn.bgcolor("white") apeat= 0 apple = turtle.Turtle() apple.penup() apple.shape("turtle") apple.fillcolor("red") snake = turtle.Turtle() snake.color("darkgreen") snake.pensize(5) snake.speed(0) snake.hideturtle() snaketail = turtle.Turtle() snaketail.color("white") snaketail.pensize(5) snaketail.speed(0) snaketail.hideturtle() w = 0 z = 0 coords = [] turns = 0 speed = 2 tailspeed = 1 ateApple = False turnedLeft = False turnedRight = False timer = 5 def addspeed(): global tailspeed tailspeed = 2 def resetcoords(): global x x = snake.xcor() global y y = snake.ycor() coords.append([]) coords[turns - 1].append(x) coords[turns - 1].append(y) def resetcOrds(): #apple.hideturtle() global w w = apple.xcor() global z z = apple.ycor() apple.goto(random.randint(-100, 100), random.randint(-100, 100)) #apple.showturtle() resetcOrds() def left(): global turnedLeft global turns turns += 1 snake.left(90) resetcoords() turnedLeft = True def right(): global turnedRight global turns turns += 1 snake.right(90) resetcoords() turnedRight = True turtle.listen() turtle.onkey(left, "Left") turtle.onkey(right, "Right") while True: snake.forward(speed) snaketail.forward(tailspeed) ## print(speed) ## print("tail", tailspeed) ## print("turns", turns) ## print("coords list", coords) print("snake coords", snake.xcor(), snake.ycor()) ## print("snaketail coords", snaketail.xcor(), snaketail.ycor()) print("apple coords", apple.xcor(), apple.ycor()) print("\n") x = snake.xcor() y = snake.ycor() w = apple.xcor() z = apple.ycor() for x in range(turns): if (snaketail.xcor() == coords[x][0]) and (snaketail.ycor() == coords[x][1]): if turnedLeft == True: snaketail.left(90) addspeed() tailspeed = speed turnedLeft = False if turnedRight == True: snaketail.right(90) addspeed() tailspeed = speed turnedRight = False for i in range (int(w) - 10, int(w) + 10): print("w", w) print("i", i) if i == snake.xcor(): for j in range (int(z) - 10, int(z) + 10): print("j", j) if j == snake.ycor(): apple.hideturtle() apeat+=1 ateApple = True resetcOrds() apple.showturtle() if ateApple == True: oldspeed = speed speed = oldspeed + 0.5 ateApple = False apple.listen() #-------------------------------------debug code------------------------------- ## print("turns", turns) ## print("coords list", coords) ## print("snake coords", snake.xcor(), snake.ycor()) ## print("snaketail coords", snaketail.xcor(), snaketail.ycor()) ## print("\n")

[ "kristenching1@gmail.com" ]

kristenching1@gmail.com

faec97843cec5bed045234f3d1b9b4b5f7f7da54

93aed45601b0c6ec23a988a24c6b80d4d5e93dc3

/shapy/framework/executor.py

44903b89fe9bdaf4a3743db720cbef27bd6d1808

[ "MIT" ]

permissive

liangxiaoping/shapy

dbd19b8affc79aabc32ccba560419ee532715b59

7fa5512d9015b4921870f212495280fbb0675164

refs/heads/master

2020-12-28T06:58:23.222187

2013-03-18T01:43:15

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py

import os, sys import re import subprocess import shlex import logging import logging.handlers #from string import Template logger = logging.getLogger('shapy.framework.executor') from shapy import settings from shapy.framework.exceptions import ImproperlyConfigured def run(command, **kwargs): command = shlex.split(command) if kwargs.pop('sudo', True): if settings.SUDO_PASSWORD: command.insert(0, '-S') command.insert(0, 'sudo') p = subprocess.Popen(command, bufsize=-1, stdout=subprocess.PIPE, stdin=subprocess.PIPE, stderr=subprocess.PIPE, env=settings.ENV) stdout, stderr = p.communicate('%s\n' % settings.SUDO_PASSWORD) if p.returncode == 0: logger.info('[{1}] {0}'.format(' '.join(command), p.returncode)) else: fmt = """[{1}] {0} [{2}]""" logger.error(fmt.format(' '.join(command), p.returncode, stderr.strip())) return stdout def get_command(name, **kwargs): try: __import__(settings.COMMANDS) cmd = getattr(sys.modules[settings.COMMANDS], name) if kwargs: cmd = cmd.format(**kwargs) return cmd except AttributeError: msg = "Command '%s' undefined!" % name logger.critical(msg) raise ImproperlyConfigured(msg) except KeyError, ImportError: msg = "Missing commands module (%s)!" % settings.COMMANDS logger.critical(msg) raise ImproperlyConfigured(msg) class Executable(object): def __init__(self, **kwargs): self.opts = kwargs self.executed = False def __setitem__(self, key, item): self.opts.update({key: item}) def __getitem__(self, key): return self.opts[key] @property def cmd(self): return get_command(self.__class__.__name__) def get(self): self.opts.update(self.get_context()) return self.cmd.format(**self.opts) def get_context(self): has_p = getattr(self, 'parent', None) return {'parent': self.parent['handle'] if has_p else '', 'interface': self.get_interface()} def get_interface(self): p = getattr(self, 'parent', self) while hasattr(p, 'parent'): p = getattr(p, 'parent') try: return getattr(p, 'interface') except AttributeError: msg = "Element {0!r} has no interface".format(self) logger.critical(msg) raise ImproperlyConfigured(msg) def execute(self): if not self.executed: run(self.get()) else: logger.debug("Command %s was already executed."% self.get())

[ "petr@praus.net" ]

petr@praus.net

0bb40e15cc5d1261943589d966e5df9dcb4a91cc

425e80db15d13a6e3c76df622a56c348031b7f39

/Compare_SGL/test_cv_real.py

34505cff35c3703b1615f281a25a1c6616f472a1

[]

no_license

rubygyj/SGL_lmm_code

529855452bf9c102c67f965dedbf6f8354831439

c07208e120d30de4abcf1715188ebb86ac93a464

refs/heads/master

2021-01-01T05:55:35.740027

2017-07-18T02:52:10

97,308,868

0

2

null

UTF-8

Python

false

4,186

py

""" """ import csv import scipy as SP import scipy.linalg as LA import pdb import lmm_lasso_pg as lmm_lasso import os import sys from pandas_plink import read_plink if __name__ == '__main__': if len(sys.argv) < 5: sys.stderr.write('\tUsage: python test_cv_real.py [gene_file] [pca_x_file] [use_pca]\n'); sys.exit(1); if sys.argv[3].lower() == 'true': has_pca = True elif sys.argv[3].lower() == 'false': has_pca = False else: sys.stderr.write('invalid has_pca value: true or false') sys.exit(1) root = 'data' gene_file = os.path.join(root, sys.argv[1]) pca_x_file = os.path.join(root, sys.argv[2]) # load genotypes [bim, fam, G] = read_plink(gene_file) X = SP.array(G.compute()).astype(float) [n_f, n_s] = X.shape for i in range(X.shape[0]): m = X[i].mean() std = X[i].std() X[i] = (X[i] - m) / std X = X.T if has_pca: pca_x = SP.array(list(csv.reader(open(pca_x_file, 'rb'), delimiter=','))).astype(float) X = SP.column_stack((X, pca_x)) # simulate phenotype y = SP.array(list(fam['i'])).astype(float) [n_s, n_f] = X.shape # init debug = False n_train = int(n_s * 0.7) n_test = n_s - n_train n_reps = 10 f_subset = 0.7 muinit = 0.1 mu2init = 0.1 ps_step = 3 # split into training and testing train_idx = SP.random.permutation(SP.arange(n_s)) test_idx = train_idx[n_train:] train_idx = train_idx[:n_train] # calculate kernel # the first 2622 SNP are in the first chromosome which we are testing group = SP.array(list(csv.reader(open(os.path.join(root, sys.argv[1] + '_group.info'))))).astype(int) if has_pca: group = group + [[n_f - 10, n_f]] # Glasso Parameter selection by 5 fold cv optmu = muinit optmu2 = mu2init optcor = 0 for j1 in range(7): for j2 in range(7): mu = muinit * (ps_step ** j1) mu2 = mu2init * (ps_step ** j2) cor = 0 for k in range(5): # 5 for full 5 fold CV train1_idx = SP.concatenate( (train_idx[:int(n_train * k * 0.2)], train_idx[int(n_train * (k + 1) * 0.2):n_train])) valid_idx = train_idx[int(n_train * k * 0.2):int(n_train * (k + 1) * 0.2)] w1 = lmm_lasso.train_lasso(X[train1_idx], y[train1_idx], mu, mu2, group) # predict idx = w1.nonzero()[0] Xvalid = X[valid_idx, :] yhat = SP.dot(Xvalid[:, idx], w1[idx]) cor += SP.dot(yhat.T - yhat.mean(), y[valid_idx] - y[valid_idx].mean()) / ( yhat.std() * y[valid_idx].std()) print mu, mu2, cor[0, 0] if cor > optcor: optcor = cor optmu = mu optmu2 = mu2 print optmu, optmu2, optcor[0, 0] # train w = lmm_lasso.train_lasso(X[train_idx], y[train_idx], optmu, optmu2, group) # predict idx = w.nonzero()[0] Xtest = X[test_idx, :] yhat = SP.dot(Xtest[:, idx], w[idx]) corr = 1. / n_test * SP.dot(yhat.T - yhat.mean(), y[test_idx] - y[test_idx].mean()) / ( yhat.std() * y[test_idx].std()) print corr[0, 0] # stability selection # group info included ss = lmm_lasso.stability_selection(X, K, y, optmu, optmu2, group, n_reps, f_subset) sserr1 = 0 sserr2 = 0 for i in range(n_f): if i in idx: if ss[i] < n_reps * 0.8: sserr1 += 1 else: if ss[i] >= n_reps * 0.8: sserr2 += 1 # Output result_ss = [(ss[idx], idx) for idx in len(ss)] result_ss.sort(key = lambda item : (-item[0], item[1])) with open(sys.argv[1] + '{0}_result.csv'.format('_SGL_10pc' if has_pca else '_SGL'), 'w') as result_file: result_writer = csv.writer(result_file) for item in result_ss: result_writer.writerow((idx, ss[idx])) for i in range(n_f): print i, (i in idx), ss[i], ss2[i] print optmu, optmu2, optmu0 print sserr1, sserr2, ss2err1, ss2err2

[ "lkgv@foxmail.com" ]

lkgv@foxmail.com

43e5d2934e1bf847673aa01b30a09c96d320f9d6

441e4506d741db1afbeaa0af8822b130e26e5d5d

/unit7/mission7.3.2.py

7f1d2a17c934a7f313b13783c5e7f4ce0f1ee300

[]

no_license

ronhrl/Self.py

253bca9f23042833573ef93864a6988052f31b31

ba257e5300f548b3fe504dbb027fa054e80de365

refs/heads/master

2023-07-28T08:03:44.372673

2021-09-13T09:05:47

403,127,012

0

null

UTF-8

Python

false

444

py

def check_win(secret_word, old_letters_guessed): i = 0 count_of_correct = 0 while i < len(secret_word): j = 0 while j < len(old_letters_guessed): if secret_word[i] == old_letters_guessed[j]: count_of_correct += 1 j += 1 break j += 1 i += 1 if count_of_correct == len(secret_word): return True else: return False

[ "rontsohrl@gmail.com" ]

rontsohrl@gmail.com

4c2caed53401e57b7f09d65b6b9d5806aec30d9e

797557fcd8e666e329c135b328974c868d0b09a8

/face/norm_files/norm2.py

d3bebe24f27ffde2514b2fcf7d218a9b7bf640ff

[]

no_license

north-fern/ME-134

d9a80efce520d5af89ac440be2a3cd262a06de34

14b2eaa13b3d7a3381f93e984dd9039f429547b4

refs/heads/master

2023-01-22T19:02:09.004734

2020-11-23T03:23:10

298,402,783

1

null

2020-11-23T02:08:21

2020-09-24T21:50:17

Python

UTF-8

Python

false

1,591

py

import tensorflow.keras from Pillow import Image, ImageOps import numpy as np import time import cv2 def select_image(index): # Disable scientific notation for clarity np.set_printoptions(suppress=True) # Load the model model = tf.contrib.lite.Interpreter(model_path="model_unquant.tflite") # Create the array of the right shape to feed into the keras model # The 'length' or number of images you can put into the array is # determined by the first position in the shape tuple, in this case 1. data = np.ndarray(shape=(1, 224, 224, 3), dtype=np.float32) # Replace this with the path to your image image = Image.open('image' + str(index) + '.jpg') #resize the image to a 224x224 with the same strategy as in TM2: #resizing the image to be at least 224x224 and then cropping from the center size = (224, 224) image = ImageOps.fit(image, size, Image.ANTIALIAS) #turn the image into a numpy array image_array = np.asarray(image) # display the resized image image.show() # Normalize the image normalized_image_array = (image_array.astype(np.float32) / 127.0) - 1 # Load the image into the array data[0] = normalized_image_array # run the inference prediction = model.predict(data) print(prediction) def take_image(index): cap = cv2.VideoCapture(0) ret, frame = cap.read() cv2.imwrite('image' + str(index) + '.jpg', frame) index = 0 while True: take_image(index) time.sleep(.5) select_image(index) time.sleep(.5) index = index + 1 print(index)

[ "60278154+north-fern@users.noreply.github.com" ]

60278154+north-fern@users.noreply.github.com

4b3694a7a68013ffe4d6627a48024d90045f59cd

d8e38b9c6f7d8cf09e9a700ee784fb3e6e58b89f

/SVD/svd.py

6066e48560cae98ed331346494d6b7314e59c721

[]

no_license

vishalbelsare/Lasso-ElasticNet-toolkit

0ba5e152c062b633347353867a9fed2380752394

e474824555a1680cd35814635ba6e0713ebef018

refs/heads/master

2021-12-12T18:33:12.922797

2017-02-14T13:40:27

null

0

null

UTF-8

Python

false

1,700

py

import numpy as np import operator from os import listdir import matplotlib import matplotlib.pyplot as plt from numpy.linalg import * from scipy.stats.stats import pearsonr from numpy import linalg as la import xlrd def svd(data, S): #calculate SVD U, s, Vt = linalg.svd( data ) V = Vt.T #take out columns we don't need Sig = np.eye(S)*s[:S] newU = U[:,:S] newV = V[:,:S] #print np.sqrt(Sig[0]) #print newV # np.savetxt('dat.txt', np.sqrt(Sig[0,0])*newU[:,0]) # Retrieve dataset print Sig[9,9] # print newU print (np.sqrt(n)-np.sqrt(m))*(1./np.sqrt(m)) #fig = plt.figure() #ax = fig.add_subplot(1,1,1) colors = ['blue','red'] # for i in xrange(num_Sel): # ax.scatter(np.sqrt(Sig[0,0])*newU[i,0],np.sqrt(Sig[1,1])*newU[i,1], color= 'blue') # for i in xrange(num_UnS): # ax.scatter(np.sqrt(Sig[0,0])*newU[i+num_Sel,0],np.sqrt(Sig[1,1])*newU[i+num_Sel,1], color= 'red') # for i in xrange(n): # ax.scatter(Sig[0,0]*newV[i,0],Sig[1,1]*newV[i,1], color= 'gray') # plt.xlabel('SVD1') # plt.ylabel('SVD2') # plt.show() #Main if __name__=='__main__': # load data points n=1000 m=10 H=(1./np.sqrt(m))*np.random.randn(m,n) # H = np.array(H,dtype=int) # mean = H.mean(axis=0) # mean.shape = (1,mean.shape[0]) # H = H-mean #takeout column mean # mean = H.mean(axis=1) # mean.shape = (mean.shape[0], 1) # H = H-mean #takeout raw mean #fly,snp = np.shape(H) svd(H,m)

[ "mohammad@Mohammads-MacBook-Pro.local" ]

mohammad@Mohammads-MacBook-Pro.local

a12d2275939d8e34ebee7703446413cb633bd5a5

65e4df21987fd61b313dcf4c1b5139c8f16b453b

/painter.py

35f2c4a2af773859ac4139a8d38d475c13541aae

[]

no_license

JustinOliver/ATBS

ec4ccc625cef009eeac023ba23c812a243f8b491

172bd5788988e15b4894622495ac6962c9a28582

refs/heads/master

2021-09-07T08:14:33.957443

2018-02-20T02:03:05

112,120,783

0

null

UTF-8

Python

false

2,185

py

#!c:\users\michael scott\desktop\python\python.exe # # The Python Imaging Library # $Id$ # # this demo script illustrates pasting into an already displayed # photoimage. note that the current version of Tk updates the whole # image every time we paste, so to get decent performance, we split # the image into a set of tiles. # import sys if sys.version_info[0] > 2: import tkinter else: import Tkinter as tkinter from PIL import Image, ImageTk # # painter widget class PaintCanvas(tkinter.Canvas): def __init__(self, master, image): tkinter.Canvas.__init__(self, master, width=image.size[0], height=image.size[1]) # fill the canvas self.tile = {} self.tilesize = tilesize = 32 xsize, ysize = image.size for x in range(0, xsize, tilesize): for y in range(0, ysize, tilesize): box = x, y, min(xsize, x+tilesize), min(ysize, y+tilesize) tile = ImageTk.PhotoImage(image.crop(box)) self.create_image(x, y, image=tile, anchor=tkinter.NW) self.tile[(x, y)] = box, tile self.image = image self.bind("<B1-Motion>", self.paint) def paint(self, event): xy = event.x - 10, event.y - 10, event.x + 10, event.y + 10 im = self.image.crop(xy) # process the image in some fashion im = im.convert("L") self.image.paste(im, xy) self.repair(xy) def repair(self, box): # update canvas dx = box[0] % self.tilesize dy = box[1] % self.tilesize for x in range(box[0]-dx, box[2]+1, self.tilesize): for y in range(box[1]-dy, box[3]+1, self.tilesize): try: xy, tile = self.tile[(x, y)] tile.paste(self.image.crop(xy)) except KeyError: pass # outside the image self.update_idletasks() # # main if len(sys.argv) != 2: print("Usage: painter file") sys.exit(1) root = tkinter.Tk() im = Image.open(sys.argv[1]) if im.mode != "RGB": im = im.convert("RGB") PaintCanvas(root, im).pack() root.mainloop()

[ "justinoliver77@aol.com" ]

justinoliver77@aol.com

bf7e1ff062001f78b26cb924fe7dce1e81c97584

30f8afce1ba484183d8e1e14aae76cabb2d92354

/pbase/day25/code.py

4241fecd4e12aae4b1efcb70b62bba4ff4ecc133

[]

no_license

brooot/Python_Base_Codes

d83e8c3b8a37b86672412c812fdb0d47deb67836

a864685e160b5df4162a6f9fb910627eda702aaf

refs/heads/master

2023-04-10T20:08:39.161289

2021-03-25T12:59:23

200,570,412

0

null

UTF-8

Python

false

458

py

# x=1 # sum=1 # def cal(n): # while x<=n: # sum += 1/(2**n) # return sum # print(cal(n)) # def cal(n): # result=0 # for i in range(n+1): # result += 1/(2**i) # return result # # n=int(input("请输入n:")) # for i in range(10,100): # print(cal(i)) def cal1(n): result=0 for i in range(1,n+1): result += 1/i return result # n=int(input("请输入n:")) for n in range(1,20): print(cal1(n))

[ "1442704671@qq.com" ]

1442704671@qq.com

33e6f44cdd478c00475a2ec163ef13c53db3775f

0c3fa4fef366529eae709245cac6982f93c83bb1

/navigus_app/api_views/serializers.py

021d92fe8e583a479610841db2bbb32e1c3a0080

[]

no_license

Mprogrammer2020/navigus

bedad5b92d1902b34b1384fece96e8116ba61772

b2e8ac3381ddc0ddf629f48c054e83a4c6a9ca9e

refs/heads/master

2022-07-29T11:45:11.373707

2020-05-24T13:58:50

266,552,052

0

null

UTF-8

Python

false

680

py

from django.contrib.auth.models import User from rest_framework import serializers from api_views.models import TimeSlots, Bookings class UserSerializer(serializers.ModelSerializer): class Meta: model = User fields = ('id', 'username', 'first_name', 'last_name', 'email', 'password') class TimeSlotsSerializer(serializers.ModelSerializer): class Meta: model = TimeSlots fields = ('id', 'teacher', 'dayDate', 'startTime', 'endTime', 'status') class BookingsSerializer(serializers.ModelSerializer): class Meta: model = Bookings fields = ('id', 'student', 'timeSlot')

[ "mprogrammer2020@gmail.com" ]

mprogrammer2020@gmail.com

42bb7f8081777e72d2ae388547512f336b7ee65b

c73b6722d362192af7030d0df83c18f41b02e3f6

/tictactoe.py

beeba861c7398fb96bc992704004870bc9e483ca

[]

no_license

jyojun/pygame

c7c8a96bcaaee4df8e49f357cc0e4b384b9ce7fe

7e9101f855ef569916c82dab09bdb58f2b18f821

refs/heads/master

2022-06-04T17:09:06.586078

2020-05-05T02:37:42

null

0

null

UTF-8

Python

false

2,779

py

import pygame import sys red = (255,0,0) green = (0,255,0) blue = (0,0,255) darkBlue = (0,0,128) white = (255,255,255) black = (0,0,0) pink = (255,200,200) #iconChoice = input("Would you like to be X's or O's?(X/O)?:") iconChoice = "X" # initialize game engine pygame.init() pygame.font.init() font = pygame.font.SysFont("Century Schoolbook",12) # set screen width/height and caption size = [500,500] screen = pygame.display.set_mode(size) pygame.display.set_caption('My Game') # initialize clock. used later in the loop. clock = pygame.time.Clock() # Loop until the user clicks close button done = False while done == False: # write event handlers here for event in pygame.event.get(): if event.type == pygame.QUIT: done = True # write game logic here sys_font = pygame.font.SysFont("None",60) rendered = sys_font.render(iconChoice, 0, black) mousexpos, mouseypos = pygame.mouse.get_pos() pygame.event.get() if pygame.mouse.get_pressed()[0] == True and mousexpos > 166 and mousexpos < 322 and mouseypos < 156: print("2") elif pygame.mouse.get_pressed()[0] == True and mousexpos > 332 and mouseypos < 156: print("3") done = True elif pygame.mouse.get_pressed()[0] == True and mousexpos < 156 and mouseypos > 166 and mouseypos < 322: print("4") done= True elif pygame.mouse.get_pressed()[0] == True and mousexpos > 166 and mousexpos < 322 and mouseypos > 166 and mouseypos < 322: print("5") done= True elif pygame.mouse.get_pressed()[0] == True and mousexpos > 332 and mouseypos > 166 and mouseypos < 322: print("6") done = True elif pygame.mouse.get_pressed()[0] == True and mousexpos < 156 and mouseypos > 332: print("7") done= True elif pygame.mouse.get_pressed()[0] == True and mousexpos > 166 and mousexpos < 322 and mouseypos > 332: print("8") done= True elif pygame.mouse.get_pressed()[0] == True and mousexpos > 332 and mouseypos > 332: print("9") done = True # clear the screen before drawing screen.fill((255, 255, 255)) # draw pygame.draw.rect(screen, black, (10,156,480,15), 0) pygame.draw.rect(screen, black, (10,322,480,15), 0) pygame.draw.rect(screen, black, (156,10,15,480), 0) pygame.draw.rect(screen, black, (322,10,15,480), 0) pygame.display.flip() if pygame.mouse.get_pressed()[0] == True and mousexpos < 156 and mouseypos < 156: print("1") screen.blit(rendered, (20,15)) pygame.display.update(10,10,166,166) # display what’s drawn. this might change. pygame.display.update() # run at 20 fps clock.tick(20) # close the window and quit pygame.quit()

[ "parkcode98@gmail.com" ]

parkcode98@gmail.com

34f227442508aa9b92b0762b4d1ead4ff2c31df9

2be9cb839f95c52c506a140f599f431f19ba31c4

/modules/mtg.py

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[]

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dasu/phenny

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d615728dbba57f465fcd590a3a392d47e5a76957

refs/heads/master

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from urllib.request import urlopen import json def mtg(phenny,input): if not input.group(2): return phenny.say("Please enter a card name.") i = input.group(2) x = urlopen('http://api.mtgdb.info/search/%s' % i) c = x.read() js = json.loads(c.decode('utf-8'))[0] if js['type'] == 'Creature': phenny.say('Name: {0}, Type: {1}, Cost: {2}, Effect: {3}, Power: {4}, Toughness: {5}'.format(js['name'], js['type'], js['manaCost'], js['description'], js['power'], js['toughness'])) else: phenny.say('Name: {0}, Type: {1}, Cost: {2}, Effect: "{3}"'.format(js['name'], js['type'], js['manaCost'], js['description'])) mtg.commands = ['mtg','magic'] mtg.priority = 'medium'

[ "desusp@gmail.com" ]

desusp@gmail.com

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/myproject/boards/migrations/0002_topic_views.py

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[]

no_license

Mmarin95/django-app

e56c16892f8454552fb7a0ba386dace211063a88

23059fecd137461958f2a202250037940e99686b

refs/heads/main

2023-01-18T16:12:55.275588

2020-11-22T10:50:46

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# Generated by Django 3.1.3 on 2020-11-21 17:11 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('boards', '0001_initial'), ] operations = [ migrations.AddField( model_name='topic', name='views', field=models.PositiveIntegerField(default=0), ), ]

[ "mmarin_79@hotmail.com" ]

mmarin_79@hotmail.com

e9056686b755ec62d1124eb7098211b4b3e8aee9

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/CMGTools/H2TauTau/prod/TauES_test/up/emb/DoubleMuParked/StoreResults-Run2012C_22Jan2013_v1_PFembedded_trans1_tau132_pthad1_30had2_30_v1-5ef1c0fd428eb740081f19333520fdc8/USER/V5_B/PAT_CMG_V5_16_0_1374851248/HTT_24Jul_newTES_manzoni_Up_Jobs/Job_113/run_cfg.py

41ce89199c250114da8542c4194b345c595cb1af

[]

no_license

rmanzoni/HTT

18e6b583f04c0a6ca10142d9da3dd4c850cddabc

a03b227073b2d4d8a2abe95367c014694588bf98

refs/heads/master

2016-09-06T05:55:52.602604

2014-02-20T16:35:34

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import FWCore.ParameterSet.Config as cms import os,sys sys.path.append('/afs/cern.ch/user/m/manzoni/summer13/CMGTools/CMSSW_5_3_9/src/CMGTools/H2TauTau/prod/TauES_test/up/emb/DoubleMuParked/StoreResults-Run2012C_22Jan2013_v1_PFembedded_trans1_tau132_pthad1_30had2_30_v1-5ef1c0fd428eb740081f19333520fdc8/USER/V5_B/PAT_CMG_V5_16_0_1374851248/HTT_24Jul_newTES_manzoni_Up_Jobs') from base_cfg import * process.source = cms.Source("PoolSource", noEventSort = cms.untracked.bool(True), inputCommands = cms.untracked.vstring('keep *', 'drop cmgStructuredPFJets_cmgStructuredPFJetSel__PAT'), lumisToProcess = cms.untracked.VLuminosityBlockRange( ("190645:10-190645:110", "190646:1-190646:111", "190659:33-190659:167", "190679:1-190679:55", "190688:69-190688:249", "190702:51-190702:53", "190702:55-190702:122", "190702:124-190702:169", "190703:1-190703:252", "190704:1-190704:3", "190705:1-190705:5", "190705:7-190705:65", "190705:81-190705:336", "190705:338-190705:350", "190705:353-190705:383", 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[ "riccardo.manzoni@cern.ch" ]

riccardo.manzoni@cern.ch

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/myenv/bin/python-config

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lutchin/django

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refs/heads/master

2020-12-02T07:41:59.841608

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#!/home/pavel/PycharmProjects/input/myenv/bin/python import sys import getopt import sysconfig valid_opts = ['prefix', 'exec-prefix', 'includes', 'libs', 'cflags', 'ldflags', 'help'] if sys.version_info >= (3, 2): valid_opts.insert(-1, 'extension-suffix') valid_opts.append('abiflags') if sys.version_info >= (3, 3): valid_opts.append('configdir') def exit_with_usage(code=1): sys.stderr.write("Usage: {0} [{1}]\n".format( sys.argv[0], '|'.join('--'+opt for opt in valid_opts))) sys.exit(code) try: opts, args = getopt.getopt(sys.argv[1:], '', valid_opts) except getopt.error: exit_with_usage() if not opts: exit_with_usage() pyver = sysconfig.get_config_var('VERSION') getvar = sysconfig.get_config_var opt_flags = [flag for (flag, val) in opts] if '--help' in opt_flags: exit_with_usage(code=0) for opt in opt_flags: if opt == '--prefix': print(sysconfig.get_config_var('prefix')) elif opt == '--exec-prefix': print(sysconfig.get_config_var('exec_prefix')) elif opt in ('--includes', '--cflags'): flags = ['-I' + sysconfig.get_path('include'), '-I' + sysconfig.get_path('platinclude')] if opt == '--cflags': flags.extend(getvar('CFLAGS').split()) print(' '.join(flags)) elif opt in ('--libs', '--ldflags'): abiflags = getattr(sys, 'abiflags', '') libs = ['-lpython' + pyver + abiflags] libs += getvar('LIBS').split() libs += getvar('SYSLIBS').split() # add the prefix/lib/pythonX.Y/config dir, but only if there is no # shared library in prefix/lib/. if opt == '--ldflags': if not getvar('Py_ENABLE_SHARED'): libs.insert(0, '-L' + getvar('LIBPL')) if not getvar('PYTHONFRAMEWORK'): libs.extend(getvar('LINKFORSHARED').split()) print(' '.join(libs)) elif opt == '--extension-suffix': ext_suffix = sysconfig.get_config_var('EXT_SUFFIX') if ext_suffix is None: ext_suffix = sysconfig.get_config_var('SO') print(ext_suffix) elif opt == '--abiflags': if not getattr(sys, 'abiflags', None): exit_with_usage() print(sys.abiflags) elif opt == '--configdir': print(sysconfig.get_config_var('LIBPL'))

[ "lutchin@gmail.com" ]

lutchin@gmail.com

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/2015/19/input.py

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permissive

kristianwiklund/AOC

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2023-01-12T09:01:11.012081

2023-01-02T19:12:29

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def tokens(): return {"Al":["ThF","ThRnFAr"], "B":["BCa","TiB","TiRnFAr"], "Ca":["CaCa","PB","PRnFAr","SiRnFYFAr","SiRnMgAr","SiTh"], "e":["HF","NAl","OMg"], "F":["CaF","PMg","SiAl"], "H":["CRnAlAr","CRnFYFYFAr","CRnFYMgAr","CRnMgYFAr","HCa","NRnFYFAr","NRnMgAr","NTh","OB","ORnFAr"], "Mg":["BF","TiMg"], "N":["CRnFAr","HSi"], "O":["CRnFYFAr","CRnMgAr","HP","NRnFAr","OTi"], "P":["CaP","PTi","SiRnFAr"], "Si":["CaSi"], "Th":["ThCa"], "Ti":["BP","TiTi"]} def input(): return "ORnPBPMgArCaCaCaSiThCaCaSiThCaCaPBSiRnFArRnFArCaCaSiThCaCaSiThCaCaCaCaCaCaSiRnFYFArSiRnMgArCaSiRnPTiTiBFYPBFArSiRnCaSiRnTiRnFArSiAlArPTiBPTiRnCaSiAlArCaPTiTiBPMgYFArPTiRnFArSiRnCaCaFArRnCaFArCaSiRnSiRnMgArFYCaSiRnMgArCaCaSiThPRnFArPBCaSiRnMgArCaCaSiThCaSiRnTiMgArFArSiThSiThCaCaSiRnMgArCaCaSiRnFArTiBPTiRnCaSiAlArCaPTiRnFArPBPBCaCaSiThCaPBSiThPRnFArSiThCaSiThCaSiThCaPTiBSiRnFYFArCaCaPRnFArPBCaCaPBSiRnTiRnFArCaPRnFArSiRnCaCaCaSiThCaRnCaFArYCaSiRnFArBCaCaCaSiThFArPBFArCaSiRnFArRnCaCaCaFArSiRnFArTiRnPMgArF"

[ "githubkristian@snabela.nl" ]

githubkristian@snabela.nl

dcf36cbc60fc14c4439c8aacebc223dd42a3772e

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/sweep_avm_hps.py

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[]

no_license

rlowrance/re-avm

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d4cfa62e9f65d325e8ac98caa61d3fb666b8a6a2

refs/heads/master

2021-01-17T07:34:16.876133

2017-02-06T21:04:59

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'sweep hyparamaters over grid' from __future__ import division import pdb import AVM from columns_contain import columns_contain import layout_transactions import sweep_types cc = columns_contain def sweep_avm_hps(model_testperiod_grid, samples, random_state, just_test=False, verbose=True): 'Return dictionary of test results for grid HPs on samples[test_period]' result = {} def vprint(s): if verbose: print s def max_features_s(max_features): 'convert to 4-character string (for printing)' return max_features[:4] if isinstance(max_features, str) else ('%4.1f' % max_features) def fit_and_run(avm): 'return a ResultValue' avm.fit(samples) mask = samples[layout_transactions.yyyymm] == test_period samples_yyyymm = samples[mask] predictions = avm.predict(samples_yyyymm) if predictions is None: print 'no predictions!' pdb.set_trace() actuals = samples_yyyymm[layout_transactions.price] return sweep_types.ResultValue(actuals, predictions) def search_en(n_months_back, test_period, grid): 'search over ElasticNet HPs, appending to result' result = {} for units_X in grid.units_X_seq: for units_y in grid.units_y_seq: for alpha in grid.alpha_seq: for l1_ratio in grid.l1_ratio_seq: vprint( '%6d %3s %1d %3s %3s %4.2f %4.2f' % (test_period, 'en', n_months_back, units_X[:3], units_y[:3], alpha, l1_ratio) ) avm = AVM.AVM( model_name='ElasticNet', forecast_time_period=test_period, random_state=random_state, n_months_back=n_months_back, units_X=units_X, units_y=units_y, alpha=alpha, l1_ratio=l1_ratio, ) result_key = sweep_types.ResultKeyEn( n_months_back, units_X, units_y, alpha, l1_ratio, ) pdb.set_trace() result[result_key] = fit_and_run(avm) if just_test: return result return result def search_gbr(n_months_back, test_period, grid): 'search over GradientBoostingRegressor HPs, appending to result' result = {} for n_estimators in grid.n_estimators_seq: for max_features in grid.max_features_seq: for max_depth in grid.max_depth_seq: for loss in grid.loss_seq: for learning_rate in grid.learning_rate_seq: vprint( '%6d %3s %1d %4d %4s %3d %8s %4.2f' % (test_period, 'gbr', n_months_back, n_estimators, max_features_s(max_features), max_depth, loss, learning_rate) ) avm = AVM.AVM( model_name='GradientBoostingRegressor', forecast_time_period=test_period, random_state=random_state, n_months_back=n_months_back, learning_rate=learning_rate, loss=loss, alpha=.5 if loss == 'quantile' else None, n_estimators=n_estimators, # number of boosting stages max_depth=max_depth, # max depth of any tree max_features=max_features, # how many features to test when splitting ) result_key = sweep_types.ResultKeyGbr( n_months_back, n_estimators, max_features, max_depth, loss, learning_rate, ) pdb.set_trace() result[result_key] = fit_and_run(avm) if just_test: return result pdb.set_trace() return result def search_rf(n_months_back, test_period, grid): 'search over RandomForestRegressor HPs, appending to result' result = {} for n_estimators in grid.n_estimators_seq: for max_features in grid.max_features_seq: for max_depth in grid.max_depth_seq: vprint( '%6d %3s %1d %4d %4s %3d' % (test_period, 'rfr', n_months_back, n_estimators, max_features_s(max_features), max_depth) ) avm = AVM.AVM( model_name='RandomForestRegressor', forecast_time_period=test_period, random_state=random_state, n_months_back=n_months_back, n_estimators=n_estimators, # number of boosting stages max_depth=max_depth, # max depth of any tree max_features=max_features, # how many features to test when splitting ) result_key = sweep_types.ResultKeyRfr( n_months_back, n_estimators, max_features, max_depth, ) pdb.set_trace() result[result_key] = fit_and_run(avm) if just_test: return result return result # grid search for all model types pdb.set_trace() result = {} for model, testperiod_grid in model_testperiod_grid.iteritems(): test_period, grid = testperiod_grid for n_months_back in grid.n_months_back_seq: if model == 'en': result = dict(result, **search_en(n_months_back, test_period, grid)) if model == 'gb': more = search_gbr(n_months_back, test_period, grid) pdb.set_trace() result = dict(result, **more) result = dict(result, **search_gbr(n_months_back,test_period, grid)) if model == 'rf': result = dict(result, search_rf(n_months_back, test_period, grid)) if just_test: break return result

[ "roy.lowrance@gmail.com" ]

roy.lowrance@gmail.com

f6501bb433d19b4e8dc86423d939fae6e6b7ed6f

59629d5f64a48a6bfccf5795047a0a4e9fe1c587

/footballtournamentleague/asgi.py

bfc54df69679d7bbd47a873a9c8e7ac2063a0ab3

[]

no_license

vaeryn-uk/football-tournament-league

713df4740f683b6fd695bcc165e365e644d33e5d

e929171d2b9e95e4071d332d820f08d8ed763656

refs/heads/main

2023-06-17T13:38:23.128843

2021-07-11T17:01:47

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py

""" ASGI config for footballtournamentleague project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.2/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'footballtournamentleague.settings') application = get_asgi_application()

[ "andrewcook1990@gmail.com" ]

andrewcook1990@gmail.com

b95687a3080ae3065b7a6dc4cd9c614d5fa8a37e

94f9b83245f6be17648e5f3d0c11509f60d3974b

/choose.py

323cc4d98d56b0e2c210508bcf40a03ffe0d896f

[]

no_license

Cotyaoo/ChooseNum

f0dee6a65c62da77ca3a9118fc1867137bd56675

f007c105f6a3161f47eaf5142db86c291338b9a7

refs/heads/master

2020-12-27T20:03:03.046601

2020-02-03T18:39:34

238,034,446

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null

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py

import random def choose_number(): a = random.randint(1, 100) b = int(input("Введите число от 1 до 100: ")) p = 0 while p < 15: if a != b: print("Не угадали! Компьютер загадал число: ", a) return choose_number() p += 1 elif a == b: print("Вы угадали") break choose_number()

[ "noreply@github.com" ]

Cotyaoo.noreply@github.com

3b1dd594d751b4cc19eedb56c0807d574d123925

5f148e5b75f4afc6edd1432ffdc425932d0fbe51

/physionet-django/project/migrations/0045_auto_20200805_1001.py

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MIT-LCP/physionet-build

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2023-08-16T10:33:44.203786

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# Generated by Django 2.2.10 on 2020-08-05 14:01 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('project', '0044_auto_20200512_1029'), ] operations = [ migrations.AlterField( model_name='duasignature', name='user', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='dua_signatures', to=settings.AUTH_USER_MODEL), ), ]

[ "felipe.torres.cs@gmail.com" ]

felipe.torres.cs@gmail.com

8f5ba8d9c2ed80b13bc8f6549a0f7f87e04804b6

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/learnPython/sys.py

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qdxt/python

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refs/heads/master

2021-01-11T08:01:29.601575

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from sys import argv,path #导入特定的成员 print('================Python import mode==========================') print('path:',path) counter = 100 print('================Python import mode==========================') #允许同时为多个变量赋值 # a = b = c = 1 # print('a:',a,'b:',b,'c:',c) #可以为多个对象指定多个变量 a,b,c = 1,2,'runoob' print('a:',a,'b:',b,'c:',c) #int float bool complex(复数) print(type(a),type(c))

[ "980165003@qq.com" ]

980165003@qq.com

952c934a258215a3e3f4cc666120893ffff24cdf

aa3354835e09a7d41466310355eabc2178ec2604

/code/events.py

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[]

no_license

bug320/2048Game

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1521aac9ad949a28548f4ec70423931d2cb8bb0f

refs/heads/master

2021-09-06T04:27:58.353842

2018-02-02T10:11:22

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# -*- coding:utf-8 -*- class UserInputError(Exception): pass class TryApp(object): def __init__(self, name = None): self.name = name if name else "bug320" pass def pname(self): print self.name pass pass class UserInut(object): def __init__(self,functable): self.functable = functable pass def doFunc(self,index): func,argv = self.functable[index] func(argv) pass def changeArgs(self, index, args): if not index: raise pass func_,args_ = self.functable[index] args_ = args self.functable(func_,args_) pass pass if __name__ == '__main__': app = TryApp() func = {'p':(app.pname,None)} while True: a = raw_input("Input:") if a == 'q': raise UserInputError("InputError") break pass

[ "1046218884@qq.com" ]

1046218884@qq.com

1cd6adfb765fafd2922978f2212706cbf1a4d359

f116ebf876b630b00ae7f0a3310c4a01b22d665c

/repo_files/zips/plugin.video.saturnhosting/resources/modules/tools.py

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[]

no_license

sClarkeIsBack/SaturnHosting

673dd4c94da3976461dc05dd6449057fbfc1155a

26051fb1ec7d1833f82985308fef38acdd882270

refs/heads/master

2020-06-24T15:18:08.968909

2017-10-01T20:17:14

96,941,844

0

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UTF-8

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py

import os,re,sys,xbmc,json,base64,client,control,string,urllib,urlparse,requests,shutil,xbmcplugin,xbmcgui,socket from resources.modules import user def regex_from_to(text, from_string, to_string, excluding=True): if excluding: try: r = re.search("(?i)" + from_string + "([\S\s]+?)" + to_string, text).group(1) except: r = '' else: try: r = re.search("(?i)(" + from_string + "[\S\s]+?" + to_string + ")", text).group(1) except: r = '' return r def regex_get_all(text, start_with, end_with): r = re.findall("(?i)(" + start_with + "[\S\s]+?" + end_with + ")", text) return r def addDir(name,url,mode,iconimage,fanart,description): u=sys.argv[0]+"?url="+urllib.quote_plus(url)+"&mode="+str(mode)+"&name="+urllib.quote_plus(name)+"&iconimage="+urllib.quote_plus(iconimage)+"&description="+urllib.quote_plus(description) ok=True liz=xbmcgui.ListItem(name, iconImage=iconimage, thumbnailImage=iconimage) liz.setInfo( type="Video", infoLabels={"Title": name,"Plot":description,}) liz.setProperty('fanart_image', fanart) if mode==4: liz.setProperty("IsPlayable","true") ok=xbmcplugin.addDirectoryItem(handle=int(sys.argv[1]),url=u,listitem=liz,isFolder=False) elif mode==7 or mode==10 or mode==21: liz.setInfo( type="Video", infoLabels={"Title": name,"Plot":description}) ok=xbmcplugin.addDirectoryItem(handle=int(sys.argv[1]),url=u,listitem=liz,isFolder=False) else: liz.setInfo( type="Video", infoLabels={"Title": name,"Plot":description}) ok=xbmcplugin.addDirectoryItem(handle=int(sys.argv[1]),url=u,listitem=liz,isFolder=True) return ok xbmcplugin.endOfDirectory def addDirMeta(name,url,mode,iconimage,fanart,description,year,cast,rating,runtime,genre): u=sys.argv[0]+"?url="+urllib.quote_plus(url)+"&mode="+str(mode)+"&name="+urllib.quote_plus(name)+"&iconimage="+urllib.quote_plus(iconimage)+"&description="+urllib.quote_plus(description) ok=True liz=xbmcgui.ListItem(name, iconImage=iconimage, thumbnailImage=iconimage) liz.setInfo( type="Video", infoLabels={"Title": name,"Plot":description,"Rating":rating,"Year":year,"Duration":runtime,"Cast":cast,"Genre":genre}) liz.setProperty('fanart_image', fanart) liz.setProperty("IsPlayable","true") cm = [] cm.append(('Play Trailer','XBMC.RunPlugin(plugin://'+user.id+'/?mode=9&url='+str(name)+')')) cm.append(('Movie Information', 'XBMC.Action(Info)')) liz.addContextMenuItems(cm,replaceItems=True) ok=xbmcplugin.addDirectoryItem(handle=int(sys.argv[1]),url=u,listitem=liz,isFolder=False) return ok def OPEN_URL(url): headers = {} headers['User-Agent'] = 'Mozilla/5.0 (Windows NT 10.0; WOW64; rv:53.0) Gecko/20100101 Firefox/53.0' link = requests.session().get(url, headers=headers, verify=False).text link = link.encode('ascii', 'ignore') return link def clear_cache(): xbmc.log('CLEAR CACHE ACTIVATED') xbmc_cache_path = os.path.join(xbmc.translatePath('special://home'), 'cache') confirm=xbmcgui.Dialog().yesno("Please Confirm","Please Confirm You Wish To Delete Your Kodi Application Data","","","Cancel","Clear") if confirm: if os.path.exists(xbmc_cache_path)==True: for root, dirs, files in os.walk(xbmc_cache_path): file_count = 0 file_count += len(files) if file_count > 0: for f in files: try: os.unlink(os.path.join(root, f)) except: pass for d in dirs: try: shutil.rmtree(os.path.join(root, d)) except: pass dialog = xbmcgui.Dialog() dialog.ok(user.name, "Cache Cleared Successfully!") xbmc.executebuiltin("Container.Refresh()") def get_params(): param=[] paramstring=sys.argv[2] if len(paramstring)>=2: params=sys.argv[2] cleanedparams=params.replace('?','') if (params[len(params)-1]=='/'): params=params[0:len(params)-2] pairsofparams=cleanedparams.split('&') param={} for i in range(len(pairsofparams)): splitparams={} splitparams=pairsofparams[i].split('=') if (len(splitparams))==2: param[splitparams[0]]=splitparams[1] return param class Trailer: def __init__(self): self.base_link = 'http://www.youtube.com' self.key_link = 'QUl6YVN5QnZES3JnSU1NVmRPajZSb1pnUWhaSzRHM3MybDZXeVhn' self.key_link = '&key=%s' % base64.urlsafe_b64decode(self.key_link) self.search_link = 'https://www.googleapis.com/youtube/v3/search?part=snippet&type=video&maxResults=5&q=%s' self.youtube_search = 'https://www.googleapis.com/youtube/v3/search?q=' self.youtube_watch = 'http://www.youtube.com/watch?v=%s' def play(self, name, url=None): try: url = self.worker(name, url) if url == None: return title = control.infoLabel('listitem.title') if title == '': title = control.infoLabel('listitem.label') icon = control.infoLabel('listitem.icon') item = control.item(path=url, iconImage=icon, thumbnailImage=icon) try: item.setArt({'icon': icon}) except: pass item.setInfo(type='Video', infoLabels = {'title': title}) control.player.play(url, item) except: pass def worker(self, name, url): try: if url.startswith(self.base_link): url = self.resolve(url) if url == None: raise Exception() return url elif not url.startswith('http://'): url = self.youtube_watch % url url = self.resolve(url) if url == None: raise Exception() return url else: raise Exception() except: query = name + ' trailer' query = self.youtube_search + query url = self.search(query) if url == None: return return url def search(self, url): try: query = urlparse.parse_qs(urlparse.urlparse(url).query)['q'][0] url = self.search_link % urllib.quote_plus(query) + self.key_link result = client.request(url) items = json.loads(result)['items'] items = [(i['id']['videoId']) for i in items] for url in items: url = self.resolve(url) if not url is None: return url except: return def resolve(self, url): try: id = url.split('?v=')[-1].split('/')[-1].split('?')[0].split('&')[0] result = client.request('http://www.youtube.com/watch?v=%s' % id) message = client.parseDOM(result, 'div', attrs = {'id': 'unavailable-submessage'}) message = ''.join(message) alert = client.parseDOM(result, 'div', attrs = {'id': 'watch7-notification-area'}) if len(alert) > 0: raise Exception() if re.search('[a-zA-Z]', message): raise Exception() url = 'plugin://plugin.video.youtube/play/?video_id=%s' % id return url except: return def getlocalip(): s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) s.connect(('8.8.8.8', 0)) s = s.getsockname()[0] return s def getexternalip(): open = OPEN_URL('http://canyouseeme.org/') ip = re.search('(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)',open) return str(ip.group()) def MonthNumToName(num): if '01' in num: month = 'January' elif '02' in num: month = 'Febuary' elif '03' in num: month = 'March' elif '04' in num: month = 'April' elif '05' in num: month = 'May' elif '06' in num: month = 'June' elif '07' in num: month = 'July' elif '08' in num: month = 'Augast' elif '09' in num: month = 'September' elif '10' in num: month = 'October' elif '11' in num: month = 'November' elif '12' in num: month = 'December' return month

[ "mediahubiptv@gmail.com" ]

mediahubiptv@gmail.com

a33c8b2e9486fbe2b0792af28dd2a1d7f4c36758

083ece7a46de36c44424124259033b1ce0863f26

/novelist_ni_narou/dataset/arasuji.py

636f336e6900fddd6acf599e1b2d445dc2d1d166

[]

no_license

knok/chainer-SeqGAN

bb4715c6cc8886dca18f759590cbbb3b04ca5937

c33970190f4e0e8918ec89e7416b19584857131f

refs/heads/master

2021-01-11T09:24:13.211038

2016-12-23T03:42:03

77,117,256

3

4

null

2016-12-22T06:09:01

2016-12-22T06:09:00

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UTF-8

Python

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4,071

py

import re import unicodedata import numpy as np from collections import Counter import os import json import pickle class Arasuji(object): def __init__(self, raw_data, vocab_size, seq_length): self.vocab_size = vocab_size self.seq_length = seq_length self.raw_text=[] for i, j in enumerate(raw_data): x = self.clean(j['summary']) if x and len(x) < seq_length: self.raw_text.append(x) self.data_num = len(self.raw_text) print('data num',self.data_num) words = [] for line in self.raw_text: words.extend(line) words.append(' ') counter = Counter(words) self.word_freq = {word: cnt for word, cnt in counter.most_common(vocab_size-3)} self.vocab = ['_START'] + ['<EOS>'] + sorted(list(self.word_freq)) + [' '] self.word2idx = {word:i for i, word in enumerate(self.vocab)} print('word num',len(self.vocab)) self.data = np.ones((self.data_num, self.seq_length), np.int32) * (vocab_size-1) for i in range(self.data_num): for j in range(len(self.raw_text[i])): w = self.raw_text[i][j] if w in self.vocab: self.data[i][j] = self.word2idx[w] else: self.data[i][len(self.raw_text[i])] = 1 perm = np.random.permutation(self.data_num) self.test_idx = perm[:11700] self.train_idx = perm[11700:] def clean(self, string): SpecialLetters = r"""＊|¥|￥|#|＃|？|×|＋|†|:|;|~|¨|\xad|°|´|'̈|゙゚ |×|ĵ|α|β|π|σ|φ|ω|м|о|х|٩|۶|ก|ค|ง|จ|ณ|ท|\|| |น|ฟ|ม|ย|ร|ส|ห|ั|า|ิ|ี|ุ|เ|แ|ไ|่|‐|–|─|—|•|‥|′| '́|̈' |…|※|‼|⁇|⁈|⁉|⁺|℃|ⅰ|ⅱ|ⅲ|←|↑|→|↓|⇒|⇔|−|〜 |〝|\〟|〜|〟 |∞|≒|≧|≪|≫|①|②|③|④|⑤|⑥|⑦|⑧|⑨|⑩|⑪|⑫|\^ |━|│|┌|┐|■|□|△|▼|▽|◆|◇|○|◎|●|◒|◯|〇|◼|〓|★|☆|♀|♂|♥|♡|♦|♪|♬|♯|⚪|⚫|✕|✖|✳|〃 |\x81|\x8d|«|·|»|â|ä|è|é|ö|ø|ə|ɪ|ɲ|ʕ|̀|́|̄|̈|ά|γ|δ|ς|υ|д|з|щ|я|ᅠ|\u200f|―|‹|›|∀|√|∠|∮|∵|∽ |≋|≓|≔|≕|≖|≠|≡|≣|⊂|⊰|⊱|⊴|⋆|⋛|⋯|⌒|┏|┓|├|┤|╋|═|▄|◥|◻|◽|☓|☝|☪|☺| ♉|♠|♢|♤|♧|♭|⚠|✤|✩|✴|✽|❁|❕|❗|❪|❫|❮|❯|➖|➡|⬆|⭐|؈|'ฺ|∽|♉|,""" string = string.split('。')[0] + '。' string = ' '.join(string.split()) string = re.sub(r'{|\{|\[|『|【|《|〈|〔|〖','「',string) string = re.sub(r'{|\}|\]|』|】|》|〉|〕|〗','」', string) string = re.sub(r'[‘’“”″`\']', '"', string) string = re.sub(r"（.+?）", '', string) string = re.sub(r"$.+?$", '', string) string = re.sub(r"<.+?>", '', string) string = unicodedata.normalize('NFKC', string).lower() string = re.sub('https?://(\S)+', '', string) string = re.sub(SpecialLetters, '', string) string = ' '.join(string.split()) if len(set(string)) < 5: return '' return string def get_train_data(self,batch_size): idx = np.random.choice(self.train_idx, batch_size, replace=False) return self.data[idx] def get_test_data(self, batch_size): idx = np.random.choice(self.test_idx, batch_size, replace=False) return self.data[idx] if __name__ == '__main__': json_data = [] for i, f_name in enumerate(os.listdir('dataset')): try: with open('dataset/' + f_name) as f: json_data.append(json.load(f)) except: pass Loader = Arasuji(json_data, vocab_size=3000, seq_length=40) with open('arasuji.dat', 'wb') as f: pickle.dump(Loader, f)

[ "fukuta6140@gmail.com" ]

fukuta6140@gmail.com

5192f3acfcc9c4a8e579a483b0fcfee562d4d63a

1edfdc6194342d102e6347216ce0661e25171912

/dl_yt_vids.py

15a5b77fdc49f62af787bf6866b6beb9d967692b

[]

no_license

jivakalan/action_spotting_ufc

2e4e08496d9256c2144d1072f7e2a702d351507e

098573b01bf04b9573d2c7a29071a2ab7ea20c5a

refs/heads/master

2023-04-17T23:05:39.636163

2021-05-06T00:10:27

305,566,773

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UTF-8

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# -*- coding: utf-8 -*- """ Created on Mon Oct 19 22:04:44 2020 @author: jkalan """ from pytube import YouTube from datetime import datetime import os,time def downloading_video(link): now = datetime.now() # current date and time timeNow = now.strftime("%m-%d-%Y at %H_%M_%S") yt = YouTube(link) time.sleep(5) video = yt.streams.filter(progressive=True, file_extension='mp4').order_by('resolution').desc().first() time.sleep(2) folderPath = os.path.join(os.getcwd(),timeNow) os.mkdir(folderPath) videoPath = os.path.join(os.getcwd(),timeNow,video.title) video.download(output_path = folderPath) return videoPath for url in video_url: yt= YouTube(url).streams.first().download() time.sleep(5) video = yt.streams.filter(progressive=True, file_extension='mp4').order_by('resolution').desc().first() time.sleep(2) video_url =['https://www.youtube.com/watch?v=kB4jgaYYBlI','https://www.youtube.com/watch?v=Ro_zceOYrb0'] 'https://www.youtube.com/watch?v=U-fhb1RnRzM'] video_url =['https://www.youtube.com/watch?v=knRMfWDjKZE','https://www.youtube.com/watch?v=RK9Wry-DHew','https://www.youtube.com/watch?v=L3sR0-BJQPk&t=1s','https://www.youtube.com/watch?v=y5tmDY9-BAU']

[ "kalan.jiva@gmail.com" ]

kalan.jiva@gmail.com

2cb1da17f4c7a1704330b470888dc115a7e8bbed

c548d5d6609eb4bff3511cd822fc6ec2580c4935

/promises/models.py

7d5fcec6d725294d9d68c2ecec348a9a50f6072a

[]

no_license

bmy4415/django_restframework_homework

5abc934b28ffa8eb4428d19e05771bc229034876

3ffecc1540afef8f49a7ee63c93bbf90708b5067

refs/heads/master

2020-03-09T02:40:04.721914

2018-04-16T13:25:37

128,545,595

0

null

UTF-8

Python

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399

py

from django.db import models class Promise(models.Model): created = models.DateTimeField(auto_now_add=True) sinceWhen = models.DateTimeField() tilWhen = models.DateTimeField() user1 = models.ForeignKey("auth.User", related_name="promises_as_inviter", on_delete=models.CASCADE) user2 = models.ForeignKey("auth.User", related_name="promises_as_invitee", on_delete=models.CASCADE)

[ "bmy4415@naver.com" ]

bmy4415@naver.com

8793d4ce5b93e0abb4d7dd2d64c6957bdf1997b2

847ecf9ded56b8680bde70ff4544bd36ccf26eb3

/user_listsp.py

b08eab53c5a1a907fed769c3bf913e4ca12c0be3

[]

no_license

camly93/uph_heroku

4366db42b3ac8d26b5bb8628afd5ae977304bd38

ce1d76137b8631d455b5719d02a3071b4fc22e0f

refs/heads/master

2021-01-18T09:31:40.963817

2016-04-16T09:42:13

null

0

null

UTF-8

Python

false

2,139

py

from mongoengine import * import codecraper connect('amazon_rank',host='mongodb://amazon:mlab1234@ds015740.mlab.com:15740/amazon_rank') class Listsp(EmbeddedDocument): id_sanpham = StringField() class User_sanpham(Document): username = StringField() sanpham = ListField(EmbeddedDocumentField(Listsp)) class User_nhap_sp: def __init__(self, name,ten_sp): self.name = name self.sp_nhap= ten_sp def list_sanpham(nhap_user): if len(User_sanpham.objects())==0: return "khong" else: for user_data in User_sanpham.objects(): print(user_data.username) if user_data.username==nhap_user: return user_data.sanpham return "khong" def xoa_sanpham(nhap_user,xoa_sp): for user_data in User_sanpham.objects(): if user_data.username == nhap_user: listsp = Listsp(id_sanpham=xoa_sp) user_data.sanpham.remove(listsp) user_data.save() break def nhap_sanpham(nhap_user,nhap_sp): user_nhap=User_nhap_sp(nhap_user,nhap_sp) print(user_nhap.name) #check rank sanpham luon khi nhap codecraper.check_rank(nhap_sp) listsp=Listsp(id_sanpham=user_nhap.sp_nhap) if len(User_sanpham.objects())==0: user_sp=User_sanpham(username=user_nhap.name,sanpham=[listsp]) user_sp.save() else: w=0 ## chi cho phep nhap toi da 20 san pham if len(User_sanpham.objects())<=20: for user_data in User_sanpham.objects(): if user_data.username==user_nhap.name: w=1 # print(sp.id_sanpham) k=0 for sp in user_data.sanpham: if user_nhap.sp_nhap== sp.id_sanpham: k=1 break if k==0: user_data.sanpham.append(listsp) user_data.save() break if w==0: user_sp=User_sanpham(username=user_nhap.name,sanpham=[listsp]) user_sp.save()

[ "phuc1009@gmail.com" ]

phuc1009@gmail.com

f96fa7588da7efa6d77b1d26da414ebe94dffcd3

c17b2c46032dec8bfadcdb6b2fc99d9f220f4b39

/venv/bin/easy_install

2fab74bca2f3f62282c116c087103c76b26b7c2a

[]

no_license

soumyaevan/PythonSelenium

70a0e371e997d7c9ed74288b27a349658b5e4622

846e6411c1454893b51e3882e51958c7c06c7246

refs/heads/master

2022-04-22T03:45:44.736114

2020-04-10T17:32:39

254,648,008

0

null

UTF-8

Python

false

449

#!/Users/soumyasen/PycharmProjects/SeleniumTest/venv/bin/python # EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install' __requires__ = 'setuptools==40.8.0' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit( load_entry_point('setuptools==40.8.0', 'console_scripts', 'easy_install')() )

[ "sensoumya94@gmail.com" ]

sensoumya94@gmail.com

5563a838ed4f87a906a02b3048563e2919d0fdd7

25340be13d4b7fa3e93fd848ccc11763aa753814

/data_processing/format_lyft.py

dcdb4b2df4d6a9a137c3bb589f90d598c40cc301

[]

no_license

CVPR2020-9832/Spectral-Clustering-Graph-LSTM

93e60e26eb745562bb912d980f5b2976423600d8

9cc48a5bde502e1fc6cc03ef041b2b4d28276e84

refs/heads/master

2020-09-15T19:20:57.854651

2019-11-23T05:51:22

223,537,702

3

5

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UTF-8

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py

import json import numpy as np def get_sample(filepath): ''' to load the sample.json file :param filepath: filepath of the sample.json :return: sample ''' with open(filepath) as json_file: sample = json.load(json_file) return sample def get_sample_data(filepath): ''' to load the sample_data.json file :param filepath: filepath of the sample_data.json :return: sample_data ''' with open(filepath) as json_file: sample_data = json.load(json_file) return sample_data def get_sample_annotation(filepath): ''' to load the sample_annotation.json file :param filepath: filepath of the sample_annotation.json :return: sample_annotation file ''' with open(filepath) as json_file: sample_annotation = json.load(json_file) return sample_annotation def get_timestamp_list(sample, scene_token): ''' to get the list with sample tokens corresponding to timestamp :param sample: sample from sample.json :param scene_token: scene_token from scene.json :return: sorted list of timestamp, tokens ''' time_stamp_list = [] visited_set = set() count = 0 for items_sample in sample: if items_sample['scene_token'] == scene_token: time_stamp_list.append([items_sample['timestamp'],items_sample['token']]) visited_set.add(items_sample['token']) count +=1 sorted_timestamp_list = sorted(time_stamp_list) return sorted_timestamp_list def zero_row_process(zero_row): ''' to format the timestamp row :param zero_row: row to be formatter, timestamp_row :return: formatted row as an array ''' first_ele = zero_row[0] frame_ID_list = [] j = 1 for i in zero_row: if i == first_ele: frame_ID_list.append(j) else: first_ele = i j+=1 frame_ID_list.append(j) frame_ID_array = np.asarray(frame_ID_list, dtype= int).T return frame_ID_array def create_ultimate_list(sorted_timestamp_list, sample_data, sample_annotation): ''' to create a list consisting of all the data that we require to obtain the final file :param sorted_timestamp_list: sorted timestamp, token list :param sample_data: sample_data from sample_data.json :param sample_annotation: sample_annotation from from sample_annotation.json :return: ultimate list with all the required data sorted based on timestamp ''' ultimate_list = [] new_dict = {} for st_l in sorted_timestamp_list: new_dict['timestamp'] = st_l[0] new_dict['sample_token'] = st_l[1] new_dict['sample_data'] = {} ultimate_list.append(new_dict) new_dict = {} for st_list in ultimate_list: samp_data = [] for items_sample_data in sample_data: if items_sample_data['sample_token'] == st_list['sample_token']: samp_data.append(items_sample_data) st_list['sample_data'] = samp_data for stl_list in ultimate_list: ann_data = [] for items_sample_ann_data in sample_annotation: if items_sample_ann_data['sample_token'] == stl_list['sample_token']: ann_data.append(items_sample_ann_data) stl_list['annotation_data'] = ann_data return ultimate_list def timestamp_annotations(ultimate_list): ''' to obtain a list with [timestamp, instances, location] :param ultimate_list: the ultimate list obtained :return: [timestamp, instances, location] list and instance_tokens_list ''' ts_ann_list = [] instance_tokens_list = [] for items5 in ultimate_list: ts = items5['timestamp'] for items6 in items5['annotation_data']: ts_ann_list.append([ts, items6['instance_token'], items6['translation']]) instance_tokens_list.append(items6['instance_token']) return ts_ann_list, instance_tokens_list def instance_matching(instance_tokens_list): ''' assigning each instance_token with a numerical value and obtained a dictionary :param instance_tokens_list: list of all instance_tokens :return: obtained dictionary ''' k = 1 instance_matching_dict = {} visited_tokens_set = set() for item7 in instance_tokens_list: if item7 not in visited_tokens_set: instance_matching_dict[item7] = k visited_tokens_set.add(item7) k += 1 else: continue return instance_matching_dict def timestamp_objectID_XYZ(ultimate_list, instance_matching_dict): ''' final list with all the information [timestamp, object_ID, X, Y, Z] :param ultimate_list: ultimate list that was created :param instance_matching_dict: instance_matching_dict :return: list in the format [timestamp, object_ID, X, Y, Z] ''' ts_obj_ID = [] for items5 in ultimate_list: ts = items5['timestamp'] for items6 in items5['annotation_data']: ts_obj_ID.append([ts, instance_matching_dict[items6['instance_token']], items6['translation'][0], items6['translation'][1], items6['translation'][2]]) return ts_obj_ID def format_frame_ID(ts_obj_ID): ''' to transform timestamps into 1 to max range :param ts_obj_ID: list in the format [timestamp, object_ID, X, Y, Z] :return: array of frame_ID's ''' frame_ID_list = [] for items7 in ts_obj_ID: ts = items7[0] frame_ID_list.append(ts) frame_ID_arr = np.asarray(frame_ID_list).T return frame_ID_arr def save_to_text(final, to_save_txt,index): ''' to save as .txt files :param final: final array obtained :param to_save_txt: filepath to save as :param index: scene index to be considered as dataset ID :return: None ''' print(to_save_txt) ind = index lisss = np.ndarray.tolist(final) for items in lisss: items[0] = int(items[0]) items[1] = int(items[1]) with open(to_save_txt, 'w') as filehandle: for l in lisss: # filehandle.write('%d \t %d \t %f \t %f \t %f \n' %(l[0], l[1], l[2], l[3], l[4])) filehandle.write("{},{},{},{},{}\n".format(ind,l[1],l[0],l[2],l[3])) def save_to_file(data,files_path_to_sv): ''' to save as .npy file :param data: the final array :param files_path_to_sv: file path where to save the file :return: None ''' print(files_path_to_sv) np.save(files_path_to_sv, data) def lyft_to_formatted(dir): ''' to format the lyft data :param dir: directory for lyft data :return: files in the LYFT folder of the supplied directory ''' ## loading all the data sample_filepath = dir + 'sample.json' sample = get_sample(sample_filepath) sample_data_filepath = dir + 'sample_data.json' sample_data = get_sample_data(sample_data_filepath) sample_annotation_filepath = dir + 'sample_annotation.json' sample_annotation = get_sample_annotation(sample_annotation_filepath) scene_file_path = dir + 'scene.json' with open(scene_file_path) as json_file: scene = json.load(json_file) print('loaded all files') #iterating through all the scene data index = 1 for items2 in scene: # using scene token to get the sample tokens scene_token = items2['token'] sorted_timestamp_list = get_timestamp_list(sample, scene_token) print('got sorted_timestamp_list for scene ', index) ultimate_list = create_ultimate_list(sorted_timestamp_list, sample_data, sample_annotation) print('got ultimate_list for scene ', index) ts_ann_list, instance_tokens_list = timestamp_annotations(ultimate_list) instance_matching_dict = instance_matching(instance_tokens_list) print('got instance_matching_dict for scene ', index) ts_obj_ID = timestamp_objectID_XYZ(ultimate_list, instance_matching_dict) frame_ID_arr = format_frame_ID(ts_obj_ID) formatted_zero_row = zero_row_process(frame_ID_arr) ts_obj_ID_arr = np.asarray(ts_obj_ID) ts_obj_ID_arr[:,0] = formatted_zero_row print('got ts_obj_ID_arr for scene ', index) if index <=126: to_save_txt = dir + 'LYFT/train/traj{:>04}.txt'.format(index) # print('index in <126', index) elif index <= 144: to_save_txt = dir + 'LYFT/val/traj{:>04}.txt'.format(index) # print('index in <144', index) else: to_save_txt = dir + 'LYFT/test_obs/traj{:>04}.txt'.format(index) # print('index in <180', index) # save_to_file(ts_obj_ID_arr, files_path_to_sv) save_to_text(ts_obj_ID_arr,to_save_txt, index) print('saved txt and npy for scene', index) index += 1 break DATA_DIR = 'directory/' ## provide the directory where the downloaded data is present lyft_to_formatted(DATA_DIR)

[ "9832.cvpr20@gmail.com" ]

9832.cvpr20@gmail.com

5576bd123572dd7c83c5171be4ce5c13ed91cd7f

8ea2e7fe85a10bf214c83f250f86a8db7a408134

/excursion.py

0e54a9374205aa015aaea54b4045792da859bc31

[]

no_license

Abdullah-Al-Zishan/deadline-aware-fair-scheduling

5d3ace53a473d8e69e52db4b1957de099c8df89f

02c351b4c16930f18a63113984e2fc045f1eecd2

refs/heads/master

2022-02-19T23:04:17.707096

2019-10-22T14:53:14

null

0

null

UTF-8

Python

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828

py

import numpy as np import utility as util file_name = 'static.txt' result_path = 'result/'+file_name env_path = 'env/'+file_name result = util.load_dict(result_path) env = util.load_dict(env_path) def excursion_for_single_time_slot(trans_load, trans=[1], time=(1/6.0)): rating = np.array(env['transRating']) load = np.array(trans_load) total = 0 for i in trans: diff = 3*rating[3*i] - load[3*i] - load[3*i+1] - load[3*i+2] if diff <= 0.0: total -= diff #print(total) return total*time algos = {'Central', 'GPA', 'SGPA', 'LLF', 'EDF'} output = {} for algo in algos: total = 0.0 #print(algo) for i in range(0,144): #print(i) total += excursion_for_single_time_slot(result[algo][i]['trans_load']) output[algo] = total print(output)

[ "azishan@ualberta.ca" ]

azishan@ualberta.ca

1b13d84b5e842b96a4f4095e3c1be2d5f5a0b20c

75e3e2779d90f4b3273dbeedbbff8481f83ee68f

/ps4.py

3ff2689fc36b00526faea82ab77acb28d021e4a7

[]

no_license

DragosTeodoru/SD

9960671d9ed5a65c23820316f150fcfba2c6e22a

1af39acff60646eb7c25f12517b6f9592831cff9

refs/heads/master

2020-04-02T19:09:00.588488

2019-01-22T09:59:22

154,724,044

0

null

UTF-8

Python

false

870

py

#Task 1 radius=int(input("Radius:")) x=3.14 pi=x area=pi*radius**2 print (area) #Task 2 x=4 y=5 a=3*(x+y) print (a) #Task 3 radius=float(input("Enter the radius:")) #Task 4 print((3+4+5)/3) #Task 5 x=19.93 y=20.00 z=y-x print("%.2f" %z) #Task 6 x=2 print("x, squared is, x*x") xcubed=x**3 print (xcubed) #Task 7 from math import sqrt x=2 y=4 print("The product of ", x, "and", y, " is ", x * y) print("The root of their difference is ", sqrt(abs(x - y))) #Task 8 name=input("Enter your name: ") age=int(input("Enter your age: ")) age=age+1 print ("Hello " + name +", next year you will be " + str(age) +" years old!") #Task 9 radius= ("Radius is: %6.d" %2) area=("Area is: %8.2f" %12.5678) print (radius) print (area) #Task 10 p=17 q=18 print(p//10+p%10) print(p%2+q% 2) print((p+q)//2) print((p+q)/2.0)

[ "noreply@github.com" ]

DragosTeodoru.noreply@github.com

ab6b93883fbd3ab158e745475577ce299961a020

a018a4969678b309b9778d74cffea2fac8731e62

/mynavi_sample.py

1371b140f3ec0170ec6b85f6e5a4dc434ff3e379

[]

no_license

aoi-eita/task2

4692d8cda5e32636e1cced6382d4484a5e02d55d

e5233abfda47dcd6667b02622a2013452ee25b35

refs/heads/main

2023-06-06T19:18:31.430530

2021-07-19T06:19:28

387,359,970

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UTF-8

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py

import os from selenium.webdriver import Chrome, ChromeOptions from selenium.webdriver.chrome.webdriver import WebDriver from selenium.webdriver.remote.webelement import WebElement from webdriver_manager.chrome import ChromeDriverManager from selenium.webdriver import Firefox from selenium.webdriver.firefox.options import Options import time import pandas as pd import datetime from bs4 import BeautifulSoup LOG_FILE_PATH = "./log/log_{datetime}.log" EXP_CSV_PATH="./exp_list_{search_keyword}_{datetime}.csv" log_file_path=LOG_FILE_PATH.format(datetime=datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S')) # Chromeを起動する関数 def set_driver(driver_path, headless_flg): if "chrome" in driver_path: options = ChromeOptions() else: options = Options() # ヘッドレスモード（画面非表示モード）をの設定 if headless_flg == True: options.add_argument('--headless') # 起動オプションの設定 options.add_argument( '--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36') # options.add_argument('log-level=3') options.add_argument('--ignore-certificate-errors') options.add_argument('--ignore-ssl-errors') options.add_argument('--incognito') # シークレットモードの設定を付与 # ChromeのWebDriverオブジェクトを作成する。 if "chrome" in driver_path: return Chrome(ChromeDriverManager().install(), options=options) else: return Firefox(executable_path=os.getcwd() + "/" + driver_path,options=options) # ログの作成 def log(txt): now=datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S') logStr = '[%s:%s] %s' % ('log',now,txt) # ログの出力 with open(log_file_path , 'a' ,encoding='utf-8_sig') as f: f.write(logStr + '\n') print(logStr) # main処理 def main(): log("処理開始") search_keyword =input("検索したいワードを入力して下さい >>> ") log(f"検索キーワード：{search_keyword}") # driverを起動 if os.name == 'nt': #Windows driver = set_driver("chromedriver.exe", False) elif os.name == 'posix': #Mac driver = set_driver("chromedriver", False) # Webサイトを開く driver.get("https://tenshoku.mynavi.jp/") time.sleep(5) # ポップアップを閉じる driver.execute_script('document.querySelector(".karte-close").click()') time.sleep(5) # ポップアップを閉じる driver.execute_script('document.querySelector(".karte-close").click()') # 検索窓に入力 driver.find_element_by_class_name( "topSearch__text").send_keys(search_keyword) # 検索ボタンクリック driver.find_element_by_class_name("topSearch__button").click() month_salary_list = [] year_salary_list = [] name_list = [] count = 1 success = 0 fail = 0 while True: # ソースコードを取得 time.sleep(10) # HTMLをパースする html = driver.page_source soup = BeautifulSoup(html, 'html.parser') # 会社ブロック単位でitemsに格納 items = soup.findAll(class_="cassetteRecruit__content") #try文でエラーを回避 # forとtryを併用する時はtryを中に入れて使用　そうしないと止まってしまう for i in range(len(items)): try: name_list.append(items[i].findAll(class_="cassetteRecruit__name")[0].text.split("|")[0]) month_salary_list.append(items[i].findAll(class_="tableCondition__body")[3].text) year_salary_list.append(items[i].findAll(class_="tableCondition__body")[4].text) log(f"{count}件目成功：{name_list[i]}") success+=1 except Exception as e: year_salary_list.append("データなし") log(f"{count}件目失敗：{name_list[i]}") log(e) fail+=1 finally: count+=1 if len(driver.find_elements_by_class_name("iconFont--arrowLeft")) > 0: next_url = driver.find_elements_by_class_name("iconFont--arrowLeft")[0].get_attribute("href") driver.get(next_url) else: log("終了しました") break # 空のDataFrame作成 df = pd.DataFrame() # 1ページ分繰り返し now = datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S') for (name,month_salary,year_salary) in zip(name_list,month_salary_list,year_salary_list): df = df.append( {"会社名": name, "月給": month_salary, "年収": year_salary}, ignore_index=True) now = datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S') df.to_csv(EXP_CSV_PATH.format(search_keyword=search_keyword,datetime= now),encoding="utf-8-sig") log(f"処理完了成功件数: {success} 件 / 失敗件数: {fail} 件") # 直接起動された場合はmain()を起動(モジュールとして呼び出された場合は起動しないようにするため) if __name__ == "__main__": main()

[ "aoi.eita66@gmail.com" ]

aoi.eita66@gmail.com

be5addc90cf01e19f23dc3dbfa0e78b3efc89c5d

b1aba90c839deec0641b260db2afc1d579fa0525

/Ejercicios_Programacion_Funcional_Python/Ejercicios propuestos iniciación a la programación/Ejercicio12.py

49d943ff4db64fed6710f9e991fc3fcc1d3e45ad

[]

no_license

Globix/Ejercicios_Programacion_FP_Dual

86102cff6bc12cfee21631bf39fc803c6c3ac7c6

4c89ab02e73e045228d67f8523ee89aa59031fbe

refs/heads/master

2021-01-18T22:36:51.138016

2016-06-05T18:35:46

49,504,702

0

null

UTF-8

Python

false

1,873

py

# Ejercicio que pide dos números y comprueba unas condiciones prestablecidas. # Si dichos números las pasan se realiza la suma de ambos y se muestra por pantalla. #------Subrutinas a usar--------- # - Subrutina: sumaCondicinal # - Descripción: Suma 2 numeros solo si se cumplen las siguientes 3 condiciones: # a) Los dos son pares # b) El primero es menor que cincuenta # c) El segundo está dentro del intervalo cerrado 100-500. # - Entrada: 2 numeros # - Salidas: # -> -1: Si no se cumple la primera condición # -> -2: Si no se cumple la segunda condición # -> -3: Si no se cumple la tercera condición # -> Default: Resultado con la suma de los 2 numeros def sumaPositivos (primerNumero, segundoNumero): if primerNumero%2==1 or segundoNumero%2==1: return -1 elif primerNumero > 50: return -2 elif segundoNumero < 100 or segundoNumero > 500: return -3 else: return primerNumero + segundoNumero #------Fin de las subrutinas------ #-------Programa principal-------- print ("Vamos a realizar la suma de 2 numeros positivos solo si se cumple que: \n - Los 2 son pares. \n - El primero es menor que cincuenta. \n - El segundo está dentro del intervalo cerrado 100-500.\n") primerNumero = int(input("Introduzca un número: ")) segundoNumero = int(input("Introduzca un segundo número: ")) print("\n") valor = sumaPositivos(primerNumero, segundoNumero) if valor == -1: print ("No se calcula la suma porque un número és impar o ambos són impares.") elif valor == -2: print ("No se calcula la suma porque el primer número es menor que 50.") elif valor == -3: print ("No se calcula la suma porque el segundo número no esta entre el intervalo 100-500.") else: print ("La suma de los dos números es: " + str(valor)) #---------Fin del programa--------

[ "globix28@gmail.com" ]

globix28@gmail.com

64505008f1caf4928dc0111e3fe70d2b73314ebb

1c0224741806a1cff56e17c61a76caf565cb47ea

/testPyGraph.py

155305a2d2d7f6d9dfca3916dd1e62aad4ba7734

[]

no_license

minu7/drone-simulator

500fdd1fd13c1f75d1af45da2a415961fb01d5af

cad69f97f71f3055732863b6b637f846cd62bf5a

refs/heads/master

2020-06-09T04:15:03.870311

2019-07-09T10:55:06

193,368,397

27

0

null

UTF-8

Python

false

737

py

from pyqtgraph.Qt import QtCore, QtGui import numpy as np import pyqtgraph as pg import threading import time app = QtGui.QApplication([]) ## Create window with GraphicsView widget w = pg.GraphicsView() w.show() w.resize(800,800) w.setWindowTitle('test') view = pg.ViewBox() w.setCentralItem(view) ## lock the aspect ratio view.setAspectLocked(True) ## Create image item data = np.full((200,200, 3), 200) img = pg.ImageItem(data) view.addItem(img) def thread_function(): time.sleep(2) print("ciao") data[0:40, 40:200, 0:3] = 0 img.updateImage() x = threading.Thread(target=thread_function) x.start() ## Start Qt event loop unless running in interactive mode or using pyside. QtGui.QApplication.instance().exec_()

[ "filippominutella@gmail.com" ]

filippominutella@gmail.com

bfa44cfca13ef1bfbe5e6a567fc8c7957ea9affc

4516fffb6f87b3b0ea7e3bee27b214094c6cb6f9

/implement_queue_using_stacks.py

69c46153bc80b68cd6330857e2710948dc6758cf

[]

no_license

jianminchen/leetcode-8

b59f488f24cf53cdb0e04a214e49c9c6f72cacf5

1459baacd8c7264c2b62a2c6b5ce0001dae0aba7

refs/heads/master

2021-01-15T08:47:36.084748

2015-10-18T01:10:43

49,403,008

1

null

2016-01-11T04:56:45

null

UTF-8

Python

false

573

py

class Queue: # initialize your data structure here. def __init__(self): self.stack = [] # @param x, an integer # @return nothing def push(self, x): ss = [] while self.stack: ss.append( (self.stack.pop()) ) self.stack.append(x) while ss: self.stack.append( (ss.pop()) ) # @return nothing def pop(self): self.stack.pop() # @return an integer def peek(self): return self.stack[-1] # @return an boolean def empty(self): return self.stack==[]

[ "qirongismonica@gmail.com" ]

qirongismonica@gmail.com

7ba19beea4a7e0a6ed0063dd1242df88be8e9272

b56109a8801d0c1ec15272fa9c397fbc707d3cac

/jenkins/files/server.py

907b5086dc60f817f65833800c73d30c149edb1b

[]

no_license

sgtux/devsecops-lab

dd7d1eecb511e175e2d4509f395e0740d87389b2

3367f7f689c3ea692c0681fe275183209fa5bc2e

refs/heads/main

2023-03-20T08:47:58.344199

2021-03-15T13:42:35

312,301,622

0

null

UTF-8

Python

false

281

py

#!/usr/bin/python3 from flask import Flask, render_template_string app = Flask(__name__) @app.route('/') def index(): return render_template_string("<html><body><h1>Jenkins Server!</h1></body></html>") if __name__ == "__main__": app.run(debug=False, host="0.0.0.0", port=80)

[ "sgtux@protonmail.com" ]

sgtux@protonmail.com

c348471e918a6fb35fc29ad895d84d497f6413fc

927efa87cbcd55ad9f22871665dd4710f38f1b18

/expect_log_parsing/mycfg2html.py

9e9a9e8f7bd77d1a858cff5e8eb06bea6a182309

[]

no_license

robertlupinek/python-examples

1e163fa9a796e8110fe4cc8ab7e4f87e59d3168d

90e0ea68f2a9cf9512023a23faeb210e2d017479

refs/heads/master

2022-02-10T00:31:46.683443

2019-09-12T20:32:52

null

0

null

UTF-8

Python

false

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#!/usr/bin/python import MySQLdb as mdb import os, sys, csv class MySqlCon: def __init__(self ,dbhost, dbuser, dbpass, dbdatabase ): try: self.con = mdb.connect(dbhost, dbuser, dbpass, dbdatabase ); self.cur = self.con.cursor() except mdb.Error, e: print "Error %d: %s" % (e.args[0],e.args[1]) sys.exit(1) def execsql(self,sql): self.cur.execute(sql) def returnone(self): return self.cur.fetchone() def main (): mydb = MySqlCon('localhost','admin','admin','network_mess') #Recurse one level in the directory specified get the file names and extention... path="/var/www/html/cfg2html/" dir_list=os.listdir(path) old_line = '' start_route = 0; truncate = "truncate table host_interfaces;" try: mydb.execsql( truncate ) next_id = mydb.returnone() except Exception, e: print str(e) sys.exit truncate = "truncate table host_routes;" try: mydb.execsql( truncate ) next_id = mydb.returnone() except Exception, e: print str(e) sys.exit for fname in dir_list: dir_list2=os.listdir(path+fname) for sub_fname in dir_list2: sub_f, sub_ext = os.path.splitext(sub_fname) #If the extention indicate html we know we have the right file to start parseing! #Open that sucker up and get to work parsing interface and route info! if sub_ext == '.html': print sub_f + sub_ext open_file = open(path+fname+'/'+sub_fname, 'r') #Set server specific information here. print sub_f + "'s Network Config" get_next_sql = "select IFNULL(max(id),-1) + 1 from host_interfaces;" try: mydb.execsql( get_next_sql ) next_id = mydb.returnone() except Exception, e: print str(e) sys.exit print 'Host id = ' + str(next_id[0]); #All individual interface and route information goes here for line in open_file: #Get the interface info if line.strip().startswith('inet addr:'): #Create get rid of pesky : and turn it into white spaces so we can do consistent splits int_config = line.replace(':',' ').split() int_name = old_line.split() try: print int_name[0].strip('<PRE>') + ' ' + int_config[2] + ' ' + int_config[6] values = "'" + str(next_id[0]) + "','" + sub_f + "','" + int_name[0].strip('<PRE>') + "','" + int_config[2] + "','" + int_config[6] + "'" insert_sql = "insert into host_interfaces ( id,hostname, interface, ip_address, netmask ) values ( " + values + ");" print insert_sql mydb.execsql( insert_sql ) except Exception, e: print str(e) #Get route info if line.startswith('<A'): start_route = 0 if start_route == 1: try: route = line.split() values = "'" + str(next_id[0]) +"','" + sub_f + "','" + route[0] + "','" + route[1] + "','" + route[2] + "','" + route[7].strip('</PRE>') + "'" insert_sql = "insert into host_routes ( id,hostname, dest_ip,gate_ip,mask_ip,interface ) values ( " + values + ");" print insert_sql mydb.execsql(insert_sql) except Exception, e: print str(e) if line.startswith('Destination Gateway'): start_route = 1 old_line = line open_file.close if __name__ == '__main__': try: main() except Exception, e: print str(e) #traceback.print_exc() os._exit(1)

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import logging import time from env import ENDPOINT, ACCESS_ID, ACCESS_KEY, USERNAME, PASSWORD from tuya_iot import ( TuyaOpenAPI, ProjectType, TuyaOpenMQ, TuyaDeviceManager, TuyaHomeManager, TuyaDeviceListener, TuyaDevice, TuyaTokenInfo, tuya_logger ) tuya_logger.setLevel(logging.DEBUG) # Init openapi = TuyaOpenAPI(ENDPOINT, ACCESS_ID, ACCESS_KEY, ProjectType.INDUSTY_SOLUTIONS) openapi.login(USERNAME, PASSWORD) openmq = TuyaOpenMQ(openapi) openmq.start() deviceManager = TuyaDeviceManager(openapi, openmq) device = deviceManager.deviceMap.get(DEVICE_ID) time.sleep(1000) #Time in seconds deviceManager.sendCommands(device.id, [{'code': 'switch', 'value': True}]) print('status: ', device.status)

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/uniproxy/serve.py

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wlb/antigfw

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#!/usr/bin/python # -*- coding: utf-8 -*- ''' @date: 2012-04-26 @author: shell.xu ''' import logging import socks, proxy, dofilter from http import * from os import path from urlparse import urlparse from contextlib import contextmanager from gevent import socket __all__ = ['ProxyServer',] def import_config(*cfgs): d = {} for cfg in reversed(cfgs): try: with open(path.expanduser(cfg)) as fi: eval(compile(fi.read(), cfg, 'exec'), d) except (OSError, IOError): logger.error('import config') return dict([(k, v) for k, v in d.iteritems() if not k.startswith('_')]) def initlog(lv, logfile=None): rootlog = logging.getLogger() if logfile: handler = logging.FileHandler(logfile) else: handler = logging.StreamHandler() handler.setFormatter( logging.Formatter( '%(asctime)s,%(msecs)03d %(name)s[%(levelname)s]: %(message)s', '%H:%M:%S')) rootlog.addHandler(handler) rootlog.setLevel(lv) logger = logging.getLogger('server') @contextmanager def with_sock(addr, port): sock = socket.socket() sock.connect((addr, port)) try: yield sock finally: sock.close() def mgr_default(self, req, stream): req.recv_body(stream) response_http(stream, 404, body='Page not found') class ProxyServer(object): proxytypemap = {'socks5': socks.SocksManager} srv_urls = {} def __init__(self, *cfgs): self.cfgs = cfgs self.sockcfg = [] self.config = {} self.filter = dofilter.DomainFilter() self.worklist = [] @classmethod def register(cls, url): def inner(func): cls.srv_urls[url] = func return func return inner @contextmanager def with_worklist(self, desc): self.worklist.append(desc) try: yield finally: self.worklist.remove(desc) def load_socks(self): socks_srv = self.config.get('socks', None) max_conn = self.config.get('max_conn', None) if not socks_srv and max_conn: def ssh_info(srv): if 'sockport' in srv: return 'socks5', '127.0.0.1', srv['sockport'], max_conn elif 'listenport' in srv: return 'http', '127.0.0.1', srv['listenport'][0], max_conn socks_srv = [ssh_info(srv) for srv in self.config['servers']] del self.sockcfg[:] for proxytype, host, port, max_conn in socks_srv: self.sockcfg.append(self.proxytypemap[proxytype]( host, port, max_conn=max_conn)) def load_filters(self): self.filter.empty() for filepath in self.config['filter']: self.filter.loadfile(filepath) def init(self): self.config.update(import_config(*self.cfgs)) initlog(getattr(logging, self.config.get('loglevel', 'WARNING')), self.config.get('logfile', None)) logger.info('init ProxyServer') self.load_socks() self.load_filters() return self.config.get('localip', ''), self.config.get('localport', 8118) def get_socks_factory(self): return min(self.sockcfg, key=lambda x: x.size()).with_socks def do_req(self, req, stream): u = urlparse(req.uri) if req.method.upper() == 'CONNECT': hostname, func = u.path, proxy.connect else: if not u.netloc: logger.info('manager %s' % (u.path,)) return self.srv_urls.get(u.path, mgr_default)(self, req, stream) hostname, func = u.netloc, proxy.http usesocks = hostname.split(':', 1)[0] in self.filter reqid = '%s %s %s' % (req.method, req.uri.split('?', 1)[0], 'socks' if usesocks else 'direct') with self.with_worklist(reqid): logger.info(reqid) return func(req, stream, self.get_socks_factory() if usesocks else with_sock) def handler(self, sock, addr): stream = sock.makefile() try: while self.do_req(recv_msg(stream, HttpRequest), stream): pass except (EOFError, socket.error): pass except Exception, err: logger.exception('unknown') sock.close() def final(self): logger.info('system exit')

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shell909090@gmail.com

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anarsiel/University

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2023-03-09T17:05:44.349307

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import collections import pandas as pd import numpy as np import matplotlib.pyplot as ppl def minmax(dataset): minmax = list() for i in range(len(dataset[0])): if i == len(dataset[0]) - 1: continue value_min = dataset[:, i].min() value_max = dataset[:, i].max() minmax.append([value_min, value_max]) return minmax def normalize(dataset, minmax): for row in dataset: for i in range(len(row)): if i == len(row) - 1: # exclude labels continue row[i] = (row[i] - minmax[i][0]) / (minmax[i][1] - minmax[i][0]) return dataset def minkovskiy_distance(a, b, p): distance = 0 for i in range(len(a) - 1): distance += abs(a[i] - b[i]) ** p return distance ** (1 / p) def euclidean_distance(a, b): return minkovskiy_distance(a, b, 1) def manhattan_distance(a, b): return minkovskiy_distance(a, b, 2) def default_kernel(x, k, p1, p2, do_abs=False): if abs(x) > 1: return 0 if do_abs: x = abs(x) return k * (1 - x ** p1) ** p2 def uniform_kernel(a): return default_kernel(a, 1 / 2, 0, 0) def triangular_kernel(a): return default_kernel(a, 1, 1, 1, True) def epanechnikov_kernel(a): return default_kernel(a, 3 / 4, 2, 1) def biweight_kernel(a): return default_kernel(a, 15 / 16, 2, 2) def tricube_kernel(a): return default_kernel(a, 70 / 81, 3, 3, True) def launch(window_width, distance, kernel, data_X, data_Y_naive, data_Y_one_hot): def launch_naive(weights, data_Y): result = 0 for idx in range(weights.shape[0]): result += data_Y[idx] * weights[idx] if (np.sum(weights) == 0): return 0 return result / np.sum(weights) def launch_one_hot(weights, data_Y): result = [0] * data_Y.shape[1] for one_hot_idx in range(data_Y.shape[1]): for idx in range(data_Y.shape[0]): result += data_Y[idx] * weights[idx] if (np.sum(weights) == 0): result[one_hot_idx] = 0 else: result[one_hot_idx] /= np.sum(weights) return result def get_distance(test_X, data_X): dist_array = np.empty(data_X_learn.shape[0]) for idx in range(data_X.shape[0]): dist_array[idx] = distance(test_X, data_X[idx]) return dist_array def get_weights(distance): weights = np.empty(distance.shape[0]) for idx in range(distance.shape[0]): weights[idx] = kernel(distance[idx] / window_width) return weights tps, tps2 = 0, 0 fps, fps2 = 0, 0 tns, tns2 = 0, 0 fns, fns2 = 0, 0 for test_element_index in range(data_X.shape[0]): test_element_naive = (data_X[test_element_index], data_Y_naive[test_element_index]) test_element_one_hot = (data_X[test_element_index], data_Y_one_hot[test_element_index, :]) data_X_learn = np.concatenate( (data_X[:test_element_index], data_X[test_element_index + 1:]), axis=0 ) data_Y_learn_naive = np.concatenate( (data_Y_naive[:test_element_index], data_Y_naive[test_element_index + 1:]), axis=0 ) data_Y_learn_one_hot = np.concatenate( (data_Y_one_hot[:test_element_index], data_Y_one_hot[test_element_index + 1:]), axis=0 ) distances = get_distance(test_element_naive[0], data_X_learn) weights = get_weights(distances) naive_result = launch_naive(weights, data_Y_learn_naive) one_hot_result = launch_one_hot(weights, data_Y_learn_one_hot) if naive_result == test_element_naive[1]: tps += 1 fps += 0 tns += 2 fns += 0 else: tps += 0 fps += 1 tns += 1 fns += 1 if np.argmax(one_hot_result) == np.argmax(test_element_one_hot[1]): tps2 += 1 fps2 += 0 tns2 += 2 fns2 += 0 else: tps2 += 0 fps2 += 1 tns2 += 1 fns2 += 1 presicion = tps / (tps + fps) recall = tps / (tps + fns) presicion2 = tps2 / (tps2 + fps2) recall2 = tps2 / (tps2 + fns2) f1_naive, f1_one_hot = 0, 0 if presicion + recall != 0: f1_naive = 2 * (presicion * recall) / (presicion + recall) if presicion2 + recall2 != 0: f1_one_hot = 2 * (presicion2 * recall2) / (presicion2 + recall2) return f1_naive, f1_one_hot filename = 'red-wine-quality.csv' dataset = pd.read_csv(filename).to_numpy() class5_indexes = [i for i, x in enumerate(dataset) if x[-1] == 5.][:100] class6_indexes = [i for i, x in enumerate(dataset) if x[-1] == 6.][:100] class7_indexes = [i for i, x in enumerate(dataset) if x[-1] == 7.][:100] dataset5 = dataset[class5_indexes] dataset6 = dataset[class6_indexes] dataset7 = dataset[class7_indexes] dataset = np.concatenate((dataset5, dataset6, dataset7), axis=0) min_max = minmax(dataset) dataset = normalize(dataset, min_max) data_X, data_Y = [], [] for dataline in dataset: x, y = dataline[:-2], dataline[-1] data_X.append(x), data_Y.append(y) data_X = np.array(data_X, np.float) data_Y_naive = np.array(data_Y, np.float) data_Y_one_hot = pd.get_dummies(np.array(data_Y, np.float)).to_numpy() # width, width_change, iterations_count = 0.2, 0.2, 10 widths = np.arange(0.1, 1, 0.1) distance_funcs = [euclidean_distance, manhattan_distance] kernel_funcs = [uniform_kernel, triangular_kernel, epanechnikov_kernel, biweight_kernel, tricube_kernel] for kernel in kernel_funcs: print(kernel) f1s_naive, f1s_one_hot = [], [] for width in widths: print(width) f1_naive, f1_one_hot = launch(width, manhattan_distance, kernel, data_X, data_Y_naive, data_Y_one_hot) f1s_naive.append(f1_naive) f1s_one_hot.append(f1_one_hot) ppl.xlabel('window width') ppl.ylabel('f1') ppl.title(kernel.__name__) ppl.plot(widths, f1s_naive, label='Naive') ppl.plot(widths, f1s_one_hot, label='One Hot') ppl.show()

[ "dimitrovblagoi@gmail.com" ]

dimitrovblagoi@gmail.com

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gabriellaec/desoft-analise-exercicios

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2020-12-16T05:21:31

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def calcula_total_da_nota(preco, quantidade): resultado=0 i=0 while i<len(preco) or i<len(quantidade): resultado+=preco[i]*quantidade[i] i+=1 return resultado

[ "you@example.com" ]

you@example.com

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hsalam/python_learning_1

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2021-08-24T01:07:47.390945

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#!/usr/bin/python #pgm to enter n number of strings and display them with no duplicates. Also to display the duplicate strings list_names = [] duplicates = [] no_duplicate_list = [] input_limit = raw_input("Enter the limit : ") for i in range(0,int(input_limit)): list_names.insert(i,raw_input("Enter name "+str(i+1)+" : ")) for i in xrange(int(input_limit)): count = 0 if list_names[i] not in duplicates: for j in xrange(int(input_limit)): if list_names[i] == list_names[j]: count += 1 duplicates.insert(i,list_names[i]) if count>1: print "%s occured %d" %(list_names[i], count) no_duplicate_list.insert(i,list_names[i]) print "List of strings with no duplicates :\n %s" %no_duplicate_list

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"""Define objects for CTFlex""" # def eligible(team): # """Determine eligibility of team # # This function is used by CTFlex. # """ # return (team.standing == team.GOOD_STANDING # and team.country == team.US_COUNTRY # and team.background == team.SCHOOL_BACKGROUND)

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2020-06-08T06:31:12.502409

2019-06-21T23:05:22

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# Copyright 2019 Atalaya Tech, Inc. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. __version__ = "0.2.0"

[ "noreply@github.com" ]

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aliakseiChynayeu/geekbrains-python

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2022-12-27T02:45:23.127694

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def divide(a, b): """ Функция деления 2 чисел :param a: Делимое :param b: Делитель :return: Результат деления a/b Вывод на экран ошибки при делении на 0 """ try: return a / b except ZeroDivisionError: print("Деление на 0!!!") a = int(input("введите делимое >>> ")) b = int(input("введите делитель >>> ")) result = divide(a, b) if result is not None: print(f" {a} / {b} = {result:.3f}")

[ "aliaksei.chynayeu@gmail.com" ]

aliaksei.chynayeu@gmail.com

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/03_last_element/last_element.py

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no_license

wcjennyng/Python-Ds-Practice

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2023-04-18T19:14:06.802805

2021-05-09T17:27:18

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def last_element(lst): """Return last item in list (None if list is empty. >>> last_element([1, 2, 3]) 3 >>> last_element([]) is None True """ if lst == []: return None else: return lst[-1]

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wcjennyng@gmail.com

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/webcli/viewset/.ipynb_checkpoints/view_abtest-checkpoint.py

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leepand/gridpoc

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2020-04-28T02:38:49.631595

2019-03-11T02:01:50

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py

# -*- coding: UTF-8 -*- # author: leepand # time: 2018-12-01/update 2019-01-16 # desc: abtesting view and api from view_base import ViewBase,render,render_without_base from Arthur.core.entities.dao.hjs_user_dao import HjsUserDao from Arthur.core.entities.dao.Arthur_Abtesting_dao import ArthurAbTestingDao from Arthur.core.entities.base.bs_log import Log from Arthur.core.entities.bean.hjs_user import HjsUser import os,sys from Arthur.core.abtesting.utils.models import Experiment import Arthur.core.abtesting.utils.db as db from markdown import markdown from Arthur.core.entities.bean.Arthur_algolist import ArthurAlgoList import web import datetime def determine_period(): per={'period':'day'} period = per.get('period', 'day') if period not in ['day', 'week', 'month', 'year']: err = {'error': 'invalid argument: {0}'.format(period), 'status': 400} #abort(400, jsonify(err)) return period def simple_markdown(experiment): description = experiment['description'] if description and description != '': experiment['pretty_description'] = markdown(description) return experiment def experiment_list(): experiments = Experiment.all(redis=db.REDIS) period = determine_period() experiments = [simple_markdown(exp.objectify_by_period(period)) for exp in experiments] return experiments def archived(): experiments = Experiment.archived(redis=db.REDIS) period = determine_period() experiments = [simple_markdown(exp.objectify_by_period(period)) for exp in experiments] return experiments def paused(): experiments = Experiment.paused(redis=db.REDIS) period = determine_period() experiments = [simple_markdown(exp.objectify_by_period(period)) for exp in experiments]#[exp.name for exp in experiments] return experiments class ViewMyAbExp(ViewBase): def GET(self): bRet, sRet = self.check_login() if not bRet: Log.err("user not login!") return web.seeother("/login") return render.my_abexp() def POST(self): return self.GET() class viewMyAbexpAdd(ViewBase): def GET(self): if not self.check_login(): Log.err("user not login"); return web.seeother("/login") #此处用layer自己的模版框架 return render_without_base.my_abexpAdd() from operator import itemgetter class ViewAbtest(ViewBase): def GET(self): bRet, sRet = self.check_login() if not bRet: Log.err("user not login!") return web.seeother("/login") exp_list=experiment_list()+archived()+paused() if len(exp_list)>0: for exp_num in range(len(exp_list)): exp_list[exp_num]['id']=exp_num if exp_list[exp_num]['is_paused']:#如果实验结束，但未决胜负，则状态黑色2，否则绿色1 if exp_list[exp_num]['has_winner']: exp_list[exp_num]['is_paused']={'result':u'已结束','status':'label-default'} #exp_list[exp_num]['has_winner']={'result':u'已决','status':1} else: exp_list[exp_num]['is_paused']={'result':u'已结束','status':'label-default'} #exp_list[exp_num]['has_winner']={'result':u'决战中','status':0} else: exp_list[exp_num]['is_paused']={'result':u'进行中','status':'label-primary'} if exp_list[exp_num]['has_winner']: exp_list[exp_num]['has_winner']={'result':u'已决','status':'label-default'} else: exp_list[exp_num]['has_winner']={'result':u'决战中','status':'label-primary'} if len(exp_list[exp_num]['winner'])<1: exp_list[exp_num]['winner']=u'暂无' serviceList_bytime = sorted(exp_list,key = itemgetter('created_at'),reverse = True) exp_list = serviceList_bytime return render.abtest(exp_list) def POST(self): return self.GET() class ViewExpdetails(ViewBase): def GET(self,name): bRet, sRet = self.check_login() if not bRet: Log.err("user not login!") return web.seeother("/login") return render.expdetails(name) def POST(self): return self.GET(name) class ViewAbtestCreate(ViewBase): def GET(self): bRet, sRet = self.check_login() if not bRet: Log.err("user not login!") return web.seeother("/login") exp_list=experiment_list()+archived()+paused() if len(exp_list)>0: for exp_num in range(len(exp_list)): exp_list[exp_num]['id']=exp_num if exp_list[exp_num]['is_paused']:#如果实验结束，但未决胜负，则状态黑色2，否则绿色1 if exp_list[exp_num]['has_winner']: exp_list[exp_num]['is_paused']={'result':u'已结束','status':'label-default'} #exp_list[exp_num]['has_winner']={'result':u'已决','status':1} else: exp_list[exp_num]['is_paused']={'result':u'已结束','status':'label-default'} #exp_list[exp_num]['has_winner']={'result':u'决战中','status':0} else: exp_list[exp_num]['is_paused']={'result':u'进行中','status':'label-primary'} if exp_list[exp_num]['has_winner']: exp_list[exp_num]['has_winner']={'result':u'已决','status':'label-default'} else: exp_list[exp_num]['has_winner']={'result':u'决战中','status':'label-primary'} if len(exp_list[exp_num]['winner'])<1: exp_list[exp_num]['winner']=u'暂无' return render.abtest_create(exp_list) class ViewApiAbtestAdd(ViewBase): def __init__(self): self._rDict = { "expid": {'n': 'expId', 't': str, 'v': None}, "explist": {'n': 'expList', 't': str, 'v': None}, "clientid": {'n': 'clientId', 't': str, 'v': None}, "expdesc": {'n': 'expDesc', 't': str, 'v': None}, } def _check_param(self): bRet, sRet = super(ViewApiAbtestAdd, self)._check_param() if not bRet: return bRet, sRet return True, None def _deal_abtest_add(self): bRet, is_admin = HjsUser.is_admin(self.get_user_name()) if not bRet: return False, sRet #if not is_admin: # return False, 'No permission do abtest experiment add' bRet, user_id = HjsUser.get_user_uid(self.get_user_name()) if not bRet: return False, user_id bRet,is_ab_exsit = ArthurAbTestingDao.query_node_by_abname(self.expId) if len(is_ab_exsit)>1: return False, 'Experiment Name you create is exist!' abname=self.expId bRet,insert_ab = ArthurAbTestingDao.insert_node(user_id,abname) self.expList=[str(i) for i in self.expList.split(',')] #status=abtest_add(self.expId, self.expList, self.clientId) exp=Experiment.find_or_create(self.expId,self.expList,redis=db.REDIS) exp.update_description(self.expDesc) return True,exp def POST(self): if not self.check_login(): return self.make_error("user not login") bRet, sRet = self.process(self._deal_abtest_add) if not bRet: Log.err("add abtset error: %s" % (str(sRet))) return self.make_error(sRet) return self.make_response(ViewBase.RetMsg.MSG_SUCCESS) def abtest_add(exp_id,alt,client_id): try: with thrifty.Client(Abtesting_thrift) as c: return c.diversion(exp_id,alt,client_id) except: print 'wrong exp create' class ViewApiAbServList(ViewBase): #def _check_param(self): # bRet, sRet = super(ViewApiServMsgUser, self)._check_param() # if not bRet: # return False, sRet # # return True, None def _deal_ab_serv_list(self): #msg_info = get_req_all_param() #userName=msg_info.get('userName','') #projectName = msg_info.get('projectName','') #bRet, is_admin = HjsUser.is_admin(self.get_user_name()) #if not bRet: # return False, sRet #if not is_admin: # return False, 'No permission do user info' #bRet, user_id = HjsUser.get_user_uid(self.get_user_name()) #if not bRet: # return False, user_id #_bRet, msg_user_list=ArthurMsg.query_node_msg_list_by_usrproj(userName,projectName) #_bRet, msg_user_list =HjsUserDao.query_node_msg_user_list(user_id,"../static/images/user-icon.png") #if not _bRet: # return False, msg_user_list #print 'msg_info = get_req_all_param()',msg_info #print 'comments;;;;;;;',msg_user_list exp_list=experiment_list()+archived()+paused() is_win_list=[] is_pause_list=[] is_end_list = [] ab_info_dict={} if len(exp_list)>0: for exp_num in range(len(exp_list)): exp_list[exp_num]['id']=exp_num if exp_list[exp_num]['is_paused']:#如果实验结束，但未决胜负，则状态黑色2，否则绿色1 is_pause_list.append(exp_list[exp_num]) if exp_list[exp_num]['is_paused'] or exp_list[exp_num]['has_winner']: is_end_list.append(exp_list[exp_num]) if exp_list[exp_num]['has_winner']: is_win_list.append(exp_list[exp_num]) bRet, sRet =ArthurAlgoList.algo_list_forautocomplete() abservlist= sRet ab_info_dict['abservlist']=abservlist ab_info_dict['is_pause_list']=is_pause_list ab_info_dict['is_win_list']=is_win_list ab_info_dict['is_end_list']=is_end_list ab_info_dict['all_exp_cnt']=len(exp_list) ab_info_dict['is_win_ratio']="width: {data}%;".format(data=int(round((len(is_win_list)/(len(exp_list)+0.0000001)),2)*100)) ab_info_dict['is_pause_ratio']="width: {data}%;".format(data=int(round((len(is_pause_list)/(len(exp_list)+0.0000001)),2)*100)) ab_info_dict['is_end_ratio']="width: {data}%;".format(data=int(round((len(is_end_list)/(len(exp_list)+0.0000001)),2)*100)) return True,ab_info_dict def GET(self): if not self.check_login(): return self.make_error("user not login") bRet, sRet = self.process(self._deal_ab_serv_list) if not bRet: Log.err("deal_ab_serv_list: %s" % (str(sRet))) return self.make_error(sRet) return self.make_response(sRet) #我的实验页面 class ViewApiMyAbList(ViewBase): def _deal_my_ab_list(self): bRet, user_id = HjsUser.get_user_uid(self.get_user_name()) if not bRet: return False, user_id bRet, my_ab_list = ArthurAbTestingDao.query_node_ab_list_by_uid(user_id) my_ab_list_all=[] my_ab_list_win=[] my_ab_list_paused=[] my_ab_list_archived=[] my_ab_list_running = [] if len(my_ab_list)>0: for ab_dict in my_ab_list: ab_info={} abName = ab_dict['abname'] bRet,experiment= find_or_404(abName) if experiment=="None": continue #print bRet,experiment if bRet: period = determine_period() obj = simple_markdown(experiment.objectify_by_period(period)) ab_info['created_at']=experiment.created_at description = obj['description'] if description and description != '': ab_info['description']=description else: ab_info['description']='目前还没有实验描述，赶紧在详情页添加吧' ab_info['abname'] = abName if obj['kpis']: ab_info['kpis'] = obj['kpis'] else: ab_info['kpis'] = [] ab_info['has_winner']=obj['has_winner'] ab_info['is_archived']=obj['is_archived'] ab_info['is_paused']=obj['is_paused'] if obj['has_winner']:#剔除已暂停和已结束的实验，置为推送 if not obj['is_archived'] and not obj['is_paused']: my_ab_list_win.append(ab_info) if obj['is_archived']: my_ab_list_archived.append(ab_info) if obj['is_paused']: my_ab_list_paused.append(ab_info) if not obj['is_paused'] and not obj['is_archived']: if not obj['has_winner']: my_ab_list_running.append(ab_info) my_ab_list_all.append(ab_info) else: return False,'%s is not found!'%abName return True,{'my_ab_list_all':my_ab_list_all,'my_ab_list_win':my_ab_list_win,'my_ab_list_archived':my_ab_list_archived, 'my_ab_list_paused':my_ab_list_paused,'my_ab_list_running':my_ab_list_running} def GET(self): if not self.check_login(): return self.make_error("user not login") bRet, sRet = self.process(self._deal_my_ab_list) if not bRet: Log.err("deal_my_ab_list: %s" % (str(sRet))) return self.make_error(sRet) return self.make_response(sRet) class ViewApiMyAbDetails(ViewBase): def __init__(self): self._rDict = { "abname": {'n': "abName", 't': str, 'v': None} } def _check_param(self): bRet, sRet = super(ViewApiMyAbDetails, self)._check_param() if not bRet: return False, sRet return True, None def _deal_Myab_details(self): #bRet, is_admin = HjsUser.is_admin(self.get_user_name()) #if not bRet: # return False, sRet #if not is_admin: # return False, 'No permission to do this' bRet,experiment= find_or_404(self.abName) exp_compute_info={} if experiment: period = determine_period() obj = simple_markdown(experiment.objectify_by_period(period)) exp_out=obj['alternatives']#实验各组详情数据 if not obj['description']: description=u'目前还没有实验描述，赶紧添加吧' else: description=obj['description'] if len(obj['kpis'])>0: kpis=obj['kpis'] else: kpis='defalut' exp_compute_info={'description':description,'kpis':kpis,\ 'total_conversions':obj['total_conversions'],\ 'total_participants':obj['total_participants'],\ 'total_coversion_rate':100*round(obj['total_conversions']/(obj['total_participants']+0.000001),2),\ 'created_at':obj['created_at'] } else: return False,'No experiment found!' #判断实验是否为control for _i in range(len(exp_out)): exp_out[_i]['confidence_interval']=round(exp_out[_i]['confidence_interval'],2) if exp_out[_i]['is_winner']: exp_out[_i]['is_winner_check']='fa fa-check' exp_out[_i]['is_winner_class']='label label-primary' exp_out[_i]['is_winner_result']=u'胜出' else: exp_out[_i]['is_winner_check']='' exp_out[_i]['is_winner_class']='label label-default' exp_out[_i]['is_winner_result']=u'暂未胜出' if exp_out[_i]['is_control']: exp_out[_i]['is_control_label']='label label-warning' exp_out[_i]['is_control_is']=u'控制组' else: exp_out[_i]['is_control_label']='' exp_out[_i]['is_control_is']=u'' #abtest详情曲线图 date_all=[]#每个实验的所有实验日期列表 for j in exp_out: for k in j['data']: date_all.append(k['date']) if len(date_all)<1: date_all=[obj['created_at'][0:10]] _m=max(date_all) new_list=[] str2date=datetime.datetime.strptime(_m,"%Y-%m-%d") for _i in range(5): d_j=str2date+datetime.timedelta(days=-_i) new_list.append(d_j.strftime("%Y-%m-%d")) data_date=sorted(new_list) #组合E chart所需要的信息 exp_name_list=[] exp_info_list=[] exp_series=[] for _j_ in exp_out: exp_info={} exp_name_list.append(_j_['name']) exp_data=[0.0,0.0,0.0,0.0,0.0] for _iter in range(len(data_date)): for kk in _j_['data']: if kk['date'] == data_date[_iter]: exp_data[_iter]=kk['conversions']/(kk['participants']+0.001) #exp_data.append(kk['conversions']/(kk['participants']+0.00001)) #else: # exp_data.append(0.00) exp_info['name']=_j_['name'] exp_info['type']='line' exp_info['data']=exp_data exp_info_list.append(exp_info) return True,{"exp_info_list":exp_info_list,"exp_daily_details":exp_out,\ "exp_name_list4Echart":exp_name_list,"exp_info_list4Echart":exp_info_list,\ "data_date4Echart":data_date,'obj':obj,'exp_compute_info':exp_compute_info} def GET(self): bRet, sRet = self.check_login() if not bRet: return web.seeother("/login") bRet, sRet = self.process(self._deal_Myab_details) if not bRet: Log.err("deal_Myab_details: %s" % (str(sRet))) return self.make_error(sRet) return self.make_response(sRet) class ViewApiAbActions(ViewBase): def __init__(self): self._rDict = { "actiontype": {'n': 'actionType', 't': str, 'v': None}, "abname": {'n': 'abName', 't': str, 'v': None}, "altname": {'n': 'altName', 't': str, 'v': None} } def _check_param(self): bRet, sRet = super(ViewApiAbActions, self)._check_param() if not bRet: return bRet, sRet return True, None def _deal_ab_actions(self): """bRet, is_admin = HjsUser.is_admin(self.get_user_name()) if not bRet: return False, sRet if not is_admin: return False, 'No permission do user del' bRet, user_id = HjsUser.get_user_uid(self.get_user_name()) if not bRet: return False, user_id if user_id == self.uId: return False, 'do not allow delete yourself'""" if self.actionType=="set_winner": return set_winner(self.abName,self.altName) if self.actionType=="reset_exp": return reset_experiment(self.abName) if self.actionType=="reset_winner": return reset_winner(self.abName) if self.actionType=="pause_exp": return toggle_experiment_pause(self.abName) if self.actionType=="update_desc": #self.altName代替更新描述 return update_experiment_description(self.abName,self.altName) if self.actionType=="end_exp": return toggle_experiment_archive(self.abName) if self.actionType=="del_exp": return delete_experiment(self.abName) def POST(self): if not self.check_login(): return self.make_error("user not login") bRet, sRet = self.process(self._deal_ab_actions) if not bRet: Log.err("deal_ab_actions: %s" % (str(sRet))) return self.make_error(sRet) return self.make_response(ViewBase.RetMsg.MSG_SUCCESS) def find_or_404(experiment_name,kpi=None): try: experiment_name = experiment_name exp = Experiment.find(experiment_name, db.REDIS) if kpi:#设置kpi，用于页面查询，需要kpis列表非空否则出错，server端调用时也需要有kpi的参数输入 exp.set_kpi(kpi) #if request.args.get('kpi'): # exp.set_kpi(request.args.get('kpi')) return True,exp except ValueError: return False,'None' # Set winner for an experiment def set_winner(experiment_name,alternative_name): bRet,experiment = find_or_404(experiment_name) if bRet: experiment.set_winner(alternative_name) return True,"Sucess" else: return False,"None experiment is found" # Reset experiment def reset_experiment(experiment_name): bRet,experiment = find_or_404(experiment_name) if bRet: experiment.reset() return True,"Sucess" else: return False,"None experiment is found" # Pause experiment def toggle_experiment_pause(experiment_name): bRet,experiment = find_or_404(experiment_name) if experiment.is_paused(): experiment.resume() else: experiment.pause() return True,"Sucess" # Pause experiment def update_experiment_description(experiment_name,description): bRet,experiment = find_or_404(experiment_name) experiment.update_description(description) return True,"Sucess" # Archive experiment def toggle_experiment_archive(experiment_name): bRet,experiment = find_or_404(experiment_name) if experiment.is_archived(): return False,"Exp has already archived" else: experiment.archive() return True,"Sucess" # Delete experiment def delete_experiment(experiment_name): bRet,experiment = find_or_404(experiment_name) experiment.delete() return True,"Sucess" def reset_winner(experiment_name): bRet,experiment = find_or_404(experiment_name) experiment.reset_winner() return True,"Sucess" #我的实验页面 class ViewApiMyAbList(ViewBase): def _deal_my_ab_list(self): bRet, user_id = HjsUser.get_user_uid(self.get_user_name()) if not bRet: return False, user_id bRet, my_ab_list = ArthurAbTestingDao.query_node_ab_list_by_uid(user_id) my_ab_list_all=[] my_ab_list_win=[] my_ab_list_paused=[] my_ab_list_archived=[] my_ab_list_running = [] if len(my_ab_list)>0: for ab_dict in my_ab_list: ab_info={} abName = ab_dict['abname'] bRet,experiment= find_or_404(abName) if experiment=="None": continue #print bRet,experiment if bRet: period = determine_period() obj = simple_markdown(experiment.objectify_by_period(period)) ab_info['created_at']=experiment.created_at description = obj['description'] if description and description != '': ab_info['description']=description else: ab_info['description']='目前还没有实验描述，赶紧在详情页添加吧' ab_info['abname'] = abName if obj['kpis']: ab_info['kpis'] = obj['kpis'] else: ab_info['kpis'] = [] ab_info['has_winner']=obj['has_winner'] ab_info['is_archived']=obj['is_archived'] ab_info['is_paused']=obj['is_paused'] if obj['has_winner']:#剔除已暂停和已结束的实验，置为推送 if not obj['is_archived'] and not obj['is_paused']: my_ab_list_win.append(ab_info) if obj['is_archived']: my_ab_list_archived.append(ab_info) if obj['is_paused']: my_ab_list_paused.append(ab_info) if not obj['is_paused'] and not obj['is_archived']: if not obj['has_winner']: my_ab_list_running.append(ab_info) my_ab_list_all.append(ab_info) else: return False,'%s is not found!'%abName return True,{'my_ab_list_all':my_ab_list_all,'my_ab_list_win':my_ab_list_win,'my_ab_list_archived':my_ab_list_archived, 'my_ab_list_paused':my_ab_list_paused,'my_ab_list_running':my_ab_list_running} def GET(self): if not self.check_login(): return self.make_error("user not login") bRet, sRet = self.process(self._deal_my_ab_list) if not bRet: Log.err("deal_my_ab_list: %s" % (str(sRet))) return self.make_error(sRet) return self.make_response(sRet) #实验list Zoo class ViewApiabZooList(ViewBase): def __init__(self): self._rDict = { "comming_soon": {'n': "comming_soon", 't': str, 'v': 'None'} } def _check_param(self): bRet, sRet = super(ViewApiabZooList, self)._check_param() if not bRet: return False, sRet return True, None def _deal_zooab_details(self): #bRet, is_admin = HjsUser.is_admin(self.get_user_name()) #if not bRet: # return False, sRet #if not is_admin: # return False, 'No permission to do this' #experiments = Experiment.all(redis=db.REDIS) #experiments = [exp.name for exp in experiments] #period = determine_period() #experiments = [simple_markdown(exp.objectify_by_period(period)) for exp in experiments] experiments=experiment_list()+archived()+paused() experiments_bytime = sorted(experiments,key = itemgetter('created_at'),reverse = True) return True,experiments_bytime def GET(self): bRet, sRet = self.check_login() if not bRet: return web.seeother("/login") bRet, sRet = self.process(self._deal_zooab_details) if not bRet: Log.err("deal_zooab_details: %s" % (str(sRet))) return self.make_error(sRet) return self.make_response(sRet)

[ "85721094@qq.com" ]

85721094@qq.com

2d3f6c3e7ce8a553a4f77d8e97cc905613e289df

dd95edb16036c7de0970b52590fd8ae7b979e1ac

/src/data_loader.py

b998cbab540087e92c9724035ee2d49134d8d1fa

[]

no_license

YuzhongHuang/Data-Science-Final

e1978cbfb1ae04d682eaa37aaff3840cfd19ebaf

87a2f3691547fd7ec3bc2e90fc2439d95a3243e2

refs/heads/master

2021-01-10T14:42:58.192759

2016-05-04T23:28:09

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"""data_loader.py ~~~~~~~~~~~~~~ A local data loader program that grab medical entries data from given csv file and randomly split data into a tuple of (train, validata, test) Inside each group, data is represented in a tuple of (input, traget) To make the loader more efficient, the program allows user to save and load the loader object through the use of pickle. """ import numpy import pandas import pickle from theano import * import theano.tensor as T def read_csv(dataset, target_name): """ Reads an csv file and converts to (train, val, test) with each of the form (inputs, targets) :type dataset: string :param dataset: the path to the dataset """ # default values train_percent = 0.5 # default trainset percentage val_percent = 0.2 # default valset percentage test_percent = 0.3 # default testset percentage # process dataset to form (inputs, targets) data = pandas.read_csv(dataset) # import from dataset targets = data[target_name].apply(round).apply(int).as_matrix() # get the target column as numpy array print targets data = data.drop(target_name, 1) # get a dataframe with the remaining features inputs = data.as_matrix() # get the feature matrix as numpy matrix inputs = inputs[:, 1:] # drop the index column entries = targets.shape[0] # total entries of dataset # use permutation to generate random indices indices = numpy.random.permutation(entries) # get randomized indices for each datasets train_idx = indices[:int(train_percent*entries)] val_idx = indices[int(train_percent*entries):int(test_percent*entries)+int(train_percent*entries)] test_idx = indices[int(test_percent*entries)+int(train_percent*entries):] # get datasets train = (inputs[train_idx,:], targets[train_idx]) val = (inputs[val_idx,:], targets[val_idx]) test = (inputs[test_idx,:], targets[test_idx]) return train, val, test def shared_dataset(data_xy, borrow=True): """ Function that loads the dataset into shared variables The reason we store our dataset in shared variables is to allow Theano to copy it into the GPU memory (when code is run on GPU). Since copying data into the GPU is slow, copying a minibatch everytime is needed (the default behaviour if the data is not in a shared variable) would lead to a large decrease in performance. """ data_x, data_y = data_xy shared_x = theano.shared(numpy.asarray(data_x, dtype=theano.config.floatX), borrow=borrow) shared_y = theano.shared(numpy.asarray(data_y, dtype=theano.config.floatX), borrow=borrow) return shared_x, T.cast(shared_y, 'int32') def load_data(dataset, target_name): """ Loads the dataset :type dataset: string :param dataset: the path to the dataset """ train_set, valid_set, test_set = read_csv(dataset, target_name) test_set_x, test_set_y = shared_dataset(test_set) valid_set_x, valid_set_y = shared_dataset(valid_set) train_set_x, train_set_y = shared_dataset(train_set) rval = [(train_set_x, train_set_y), (valid_set_x, valid_set_y), (test_set_x, test_set_y)] return rval def save_data(dataset, filename): data = load_data(dataset) with open(filename+'.pickle', 'wb') as handle: pickle.dump(data, handle)

[ "yuzhong.huang@students.olin.edu" ]

yuzhong.huang@students.olin.edu

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/test.py

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[]

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mangesh222/python

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ecea235e7db42acf3f2193882d6e31dcc70e0301

refs/heads/master

2023-05-29T01:33:56.418128

2021-06-10T03:04:00

374,527,689

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null

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false

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py

print('hello) print('vishal'

[ "mangesh.mangesh22@gmail.com" ]

mangesh.mangesh22@gmail.com

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/venv/bin/chardetect

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[]

no_license

masande-99/FINAL-PROJECT-back-end-

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2023-04-03T01:12:05.345338

2021-03-15T09:43:47

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#!/home/lifechoices/Documents/END-OF-COURSE-PROJECT(back-end)/venv/bin/python3 # -*- coding: utf-8 -*- import re import sys from chardet.cli.chardetect import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())

[ "gontyelenimasande@gmail.com" ]

gontyelenimasande@gmail.com

a84311b4e1840eba2b2772bbabae3cd68e3804b0

a0985fe6dfb733c3c172c5feac468e7b2ddc210a

/3CNFSat/solvers.py

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[ "Apache-2.0" ]

permissive

gustavodiel/IAR

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refs/heads/master

2020-04-23T17:51:52.019484

2020-01-29T15:35:20

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Apache-2.0

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UTF-8

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2,613

py

import numpy as np from helpers import * def update_temperature(iteration, max_iterations, initial_temperature, final_temperature): return (initial_temperature - final_temperature) / (np.cosh(5 * iteration / max_iterations)) + final_temperature def random_search(name, expected_right, clauses, num_vars, max_iterations, repetitions, cenario): total_scores = [] for r in range(repetitions): local_scores = [] solution_FO = evaluate_all(clauses, generate_solution(num_vars)) for i in range(max_iterations): new_solution = generate_solution(num_vars) new_score = evaluate_all(clauses, new_solution) local_scores.append(expected_right - new_score) if new_score > solution_FO: solution_FO = new_score total_scores.append(local_scores) np_scores = np.array(total_scores) best_scores = np_scores.min(axis=1) convergence = pd.DataFrame( np_scores.mean(axis=0), np.arange(max_iterations), columns=["clausulas"] ) plot_convergence(convergence, "random_search", name, cenario) return best_scores.mean(), best_scores.std() def simmulated_annealing( name, expected_right, clauses, num_vars, initial_temperature, final_temperature, SAMax, max_iterations, repetitions, cenario ): total_scores = [] for r in range(repetitions): temperature = initial_temperature solution = generate_solution(num_vars) solution_FO = evaluate_all(clauses, solution) iteration = 0 local_scores = [] while iteration < max_iterations: for i in range(SAMax): new_solution = disturb(solution) new_score = evaluate_all(clauses, new_solution) delta = solution_FO - new_score if delta < 0 or random() < np.exp(-delta / temperature): solution = new_solution solution_FO = new_score temperature = update_temperature( iteration, max_iterations, initial_temperature, final_temperature ) local_scores.append(expected_right - solution_FO) iteration += 1 total_scores.append(local_scores) np_scores = np.array(total_scores) best_scores = np_scores.min(axis=1) convergence = pd.DataFrame( np_scores.mean(axis=0), np.arange(max_iterations), columns=["clausulas"] ) plot_convergence(convergence, "simulated_anealing", name, cenario) return best_scores.mean(), best_scores.std()

[ "gustavodiel@hotmail.com" ]

gustavodiel@hotmail.com

23a741447677df22688dcf7e5fbe171db1bd2fcb

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/reprozip/reprozip/pack.py

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[ "BSD-3-Clause" ]

permissive

aashish24/reprozip

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2207987da6ae6fb7e256fc4a197366a881680e5c

refs/heads/master

2020-04-30T00:08:34.055174

2015-05-11T06:14:42

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2015-05-11T13:36:04

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UTF-8

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# Copyright (C) 2014-2015 New York University # This file is part of ReproZip which is released under the Revised BSD License # See file LICENSE for full license details. """Packing logic for reprozip. This module contains the :func:`~reprozip.pack.pack` function and associated utilities that are used to build the .rpz pack file from the trace SQLite file and config YAML. """ from __future__ import unicode_literals import itertools import logging import os from rpaths import Path import sys import tarfile import uuid from reprozip import __version__ as reprozip_version from reprozip.common import File, load_config, save_config, \ record_usage_package from reprozip.tracer.linux_pkgs import identify_packages from reprozip.tracer.trace import merge_files def expand_patterns(patterns): files = set() dirs = set() # Finds all matching paths for pattern in patterns: if logging.root.isEnabledFor(logging.DEBUG): logging.debug("Expanding pattern %r into %d paths", pattern, len(list(Path('/').recursedir(pattern)))) for path in Path('/').recursedir(pattern): if path.is_dir(): dirs.add(path) else: files.add(path) # Don't include directories whose files are included non_empty_dirs = set([Path('/')]) for p in files | dirs: path = Path('/') for c in p.components[1:]: path = path / c non_empty_dirs.add(path) # Builds the final list return [File(p) for p in itertools.chain(dirs - non_empty_dirs, files)] def canonicalize_config(runs, packages, other_files, additional_patterns, sort_packages): """Expands ``additional_patterns`` from the configuration file. """ add_files = expand_patterns(additional_patterns) if sort_packages: add_files, add_packages = identify_packages(add_files) else: add_packages = [] other_files, packages = merge_files(add_files, add_packages, other_files, packages) return runs, packages, other_files def data_path(filename, prefix=Path('DATA')): """Computes the filename to store in the archive. Turns an absolute path containing '..' into a filename without '..', and prefixes with DATA/. Example: >>> data_path(PosixPath('/var/lib/../../../../tmp/test')) PosixPath(b'DATA/tmp/test') >>> data_path(PosixPath('/var/lib/../www/index.html')) PosixPath(b'DATA/var/www/index.html') """ return prefix / filename.split_root()[1] class PackBuilder(object): """Higher layer on tarfile that adds intermediate directories. """ def __init__(self, filename): self.tar = tarfile.open(str(filename), 'w:gz') self.seen = set() def add(self, name, arcname, *args, **kwargs): from rpaths import PosixPath assert isinstance(name, PosixPath) assert isinstance(arcname, PosixPath) self.tar.add(str(name), str(arcname), *args, **kwargs) def add_data(self, filename): if filename in self.seen: return path = Path('/') for c in filename.components[1:]: path = path / c if path in self.seen: continue logging.debug("%s -> %s", path, data_path(path)) self.tar.add(str(path), str(data_path(path)), recursive=False) self.seen.add(path) def close(self): self.tar.close() self.seen = None def pack(target, directory, sort_packages): """Main function for the pack subcommand. """ if target.exists(): # Don't overwrite packs... logging.critical("Target file exists!") sys.exit(1) # Reads configuration configfile = directory / 'config.yml' if not configfile.is_file(): logging.critical("Configuration file does not exist!\n" "Did you forget to run 'reprozip trace'?\n" "If not, you might want to use --dir to specify an " "alternate location.") sys.exit(1) runs, packages, other_files, additional_patterns = load_config( configfile, canonical=False) # Canonicalize config (re-sort, expand 'additional_files' patterns) runs, packages, other_files = canonicalize_config( runs, packages, other_files, additional_patterns, sort_packages) logging.info("Creating pack %s...", target) tar = PackBuilder(target) # Stores the original trace trace = directory / 'trace.sqlite3' if trace.is_file(): tar.add(trace, Path('METADATA/trace.sqlite3')) # Add the files from the packages for pkg in packages: if pkg.packfiles: logging.info("Adding files from package %s...", pkg.name) files = [] for f in pkg.files: if not Path(f.path).exists(): logging.warning("Missing file %s from package %s", f.path, pkg.name) else: tar.add_data(f.path) files.append(f) pkg.files = files else: logging.info("NOT adding files from package %s", pkg.name) # Add the rest of the files logging.info("Adding other files...") files = set() for f in other_files: if not Path(f.path).exists(): logging.warning("Missing file %s", f.path) else: tar.add_data(f.path) files.add(f) other_files = files logging.info("Adding metadata...") # Stores pack version fd, manifest = Path.tempfile(prefix='reprozip_', suffix='.txt') os.close(fd) try: with manifest.open('wb') as fp: fp.write(b'REPROZIP VERSION 1\n') tar.add(manifest, Path('METADATA/version')) finally: manifest.remove() # Generates a unique identifier for the pack (for usage reports purposes) pack_id = str(uuid.uuid4()) # Stores canonical config fd, can_configfile = Path.tempfile(suffix='.yml', prefix='rpz_config_') os.close(fd) try: save_config(can_configfile, runs, packages, other_files, reprozip_version, canonical=True, pack_id=pack_id) tar.add(can_configfile, Path('METADATA/config.yml')) finally: can_configfile.remove() tar.close() # Record some info to the usage report record_usage_package(runs, packages, other_files, pack_id)

[ "remirampin@gmail.com" ]

remirampin@gmail.com

efbb025919e9eac773e2b39a84bbc652dc3b43be

f8494866e8a6d8ca2437d01b3c32c159a7948bcc

/rangetree_reference.py

bcfa70c0d9ba8a5eb0301c4233584364d0b5f63d

[]

no_license

ideasman42/rangetree-py

fbfeb222fb8980f228c0d704879d0f2ac09e09d8

8c8594b7547d5f70365e94ed0acef5ccb791c178

refs/heads/master

2021-01-11T06:52:55.794222

2016-10-26T12:54:26

71,978,842

0

null

UTF-8

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py

class RangeTree: """ Slow range tree version, use for testing. """ __slots__ = ( "_data", "_min", "_max", "_hard_min", "_hard_max", ) @classmethod def FromRanges(cls, range_iter): range_ls = list(range_iter) range_ls_unpack = [value for pair in range_ls for value in pair] if not range_ls_unpack: # empty case range_ls_unpack = [0] r = RangeTree(min=min(range_ls_unpack), max=max(range_ls_unpack)) for pair in range_ls: for value in range(pair[0], pair[1] + 1): r.take(value) return r def __init__(self, *, min, max): self._data = set() self._hard_min = min self._hard_max = max self._min = 0 # not inclusive self._max = 0 def copy(self): tree_dst = RangeTree(min=self._hard_min, max=self._hard_max) tree_dst._data = self._data.copy() tree_dst._min = self._min tree_dst._max = self._max return tree_dst def clear(self): self._data.clear() self._min = 0 self._max = 0 def take(self, value): if value < self._hard_min or value > self._hard_max: raise Exception("Value out of range") # not essential but OK if not self._data and self._min == self._max: # Newly created self._data.add(value) self._min = value self._max = value + 1 else: # Existing data if value >= self._max: self._data.update(set(range(self._max, value + 1))) self._max = value + 1 if value < self._min: self._data.update(set(range(value, self._min))) self._min = value self._data.remove(value) def retake(self, value): if self.has(value): return False else: self.take(value) return True def take_any(self): if not self._data: if self._max == self._hard_max: raise IndexError("All values taken!") self._data.add(self._max) self._max += 1 value = min(self._data) self.take(value) return value def release(self, value): assert(value not in self._data) assert(value >= self._min) assert(value <= self._max) self._data.add(value) # not essential, we could just not do this if self.is_empty(): self._min = 0 self._max = 0 self._data = set() def is_empty(self): return len(self._data) == (self._max - self._min) def has(self, value): if value < self._min: return False if value >= self._max: return False return value not in self._data def range_iter(self): # Ranges are inclusive ''' Stupid slow code: ''' d = self._data i = self._min while i < self._max: if i not in d: i_end = i j = i + 1 while j not in d and j < self._max: i_end = j j += 1 yield (i, i_end) i = j else: i += 1

[ "ideasman42@gmail.com" ]

ideasman42@gmail.com

293aed28c0d7663002ce1813c8f563ba65498434

16f1ccd091ed6a2d713fdeef938737c5b8bdec53

/coleyoungmark/settings.py

ede0c6e2e7a6c104d5d4185807c21e7e1abb1351

[]

no_license

cyoungmark/coleyoungmark

2f2837669bc66efcf1a7bc4aeb39a3884cd91611

6efca7d3580f0b240c2d26b248ae64869234e6d5

refs/heads/master

2021-03-12T20:01:45.094400

2015-08-29T03:57:27

36,996,290

0

null

UTF-8

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py

""" Django settings for mywebsite project. Generated by 'django-admin startproject' using Django 1.8. For more information on this file, see https://docs.djangoproject.com/en/1.8/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.8/ref/settings/ """ # Build paths inside the project like this: os.path.join(BASE_DIR, ...) import os BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/1.8/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '+j)^&8!4c@o496^xe-*s0uw-cmwfowc7^88w(-)y$v33nb3()v' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True #ALLOWED_HOSTS = ['backoffice.software'] # Application definition INSTALLED_APPS = ( 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'coleyoungmark', ) 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', 'django.middleware.security.SecurityMiddleware', ) ROOT_URLCONF = 'coleyoungmark.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ['/Users/coleyoungmark/Documents/coleyoungmark/templates',], '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 = 'coleyoungmark.wsgi.application' # Database # https://docs.djangoproject.com/en/1.8/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Internationalization # https://docs.djangoproject.com/en/1.8/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True #MEDIA_ROOT = '/media/' MEDIA_ROOT = os.path.join(BASE_DIR, 'media') #STATIC_ROOT = '/home/cyoungmark/webapps/backoffice_software_static/' STATIC_URL = '/static/' ## STATICFILES_DIRS = ( os.path.join(BASE_DIR, 'templates'), os.path.join(BASE_DIR, 'templates/landingpage'), os.path.join(BASE_DIR, 'static'), ) ##STATICFILES_FINDERS = ( ## 'django.contrib.staticfiles.finders.FileSystemFinder', ## 'django.contrib.staticfiles.finders.AppDirectoriesFinder', ### 'django.contrib.staticfiles.finders.DefaultStorageFinder', ##) TEMPLATE_CONTEXT_PROCESSORS = ( 'django.core.context_processors.static', )

[ "coleyoungmark@Coles-MacBook-Air.local" ]

coleyoungmark@Coles-MacBook-Air.local

0f252f30b43655380250062d6602a40100b40390

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/hxl/converters.py

1e6766aef761152e0468bed447d9b48c4e302a88

[ "Unlicense" ]

permissive

raymondnijssen/libhxl-python

a6f08f95f1d2e10af08062bf6143af9051930638

40e34af5975001292299dab53139bd0cbdff74e0

refs/heads/master

2021-01-25T05:56:54.825257

2017-01-26T21:41:19

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Python

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"""Data-conversion classes This module holds classes for converting to HXL from other formats, or from HXL to other formats. Current, the only class is L{Tagger} (for adding tags to non-HXL tabular data on the fly), but we will add more converters soon, especially for formats like GeoJSON. @author: David Megginson @organization: UNOCHA @license: Public Domain @date: Started April 2015 @see: U{hxlstandard.org} """ import hxl, re class Tagger(hxl.io.AbstractInput): """Add HXL hashtags to a CSV-like input stream. Usage:: input = open('data.csv', 'r') specs = [('Cluster', '#sector'), ('Organi', '#org'), ('province', '#adm1+es')] tagger = Tagger(input, specs) The tagger object acts as a L{hxl.io.AbstractInput} source, which you can use with the L{hxl.data} function like this:: source = hxl.data(Tagger(input, specs)).with_rows('org=unicef').sort() """ def __init__(self, input, specs=[], default_tag=None, match_all=False): """Construct a new Tagger object. The input spec is a list of tuples, where the first item is a substring to match (case-/space-/punctuation-insensitive), and the second item is the HXL tag spec to use. Example:: [('Cluster', '#sector'), ('Organi', '#org'), ('province', '#adm1+es')] @param input: an input stream of some kind. @param specs: the input specs, as described above (default: []) @param match_all: if True, require that the full header string match; otherwise, match substrings (default: False). @param default_tag: default tagspec to use for any column without a match. """ if isinstance(specs, dict): # convert to list of tuples if needed specs = [(key, specs[key]) for key in specs] self.specs = [(hxl.common.normalise_string(spec[0]), spec[1]) for spec in specs] self.default_tag = default_tag self.match_all = match_all self.input = iter(input) self._cache = [] self._found_tags = False def __next__(self): """Return the next line of input (including the new tags).""" if not self._found_tags: # Search the first 25 rows for a match. if self._add_tags(): self._found_tags = True else: # if no match, through an exception raise hxl.common.HXLException("Tagging failed") if len(self._cache) > 0: # read from the cache, first return self._cache.pop(0) else: return next(self.input) next = __next__ def _add_tags(self): """Look for headers in the first 25 rows.""" for n in range(0, 25): raw_row = next(self.input) if not raw_row: break self._cache.append(raw_row) tag_row = self._try_tag_row(raw_row) if tag_row: self._cache.append(tag_row) return True return False def _try_tag_row(self, raw_row): """See if we can match a header row.""" tags = [] tag_count = 0 for index, value in enumerate(raw_row): value = hxl.common.normalise_string(value) for spec in self.specs: if self._check_header(spec[0], value): tags.append(spec[1]) tag_count += 1 break else: # run only if nothing found tags.append('') if tag_count > 0 and tag_count/float(len(self.specs)) >= 0.5: if self.default_tag: tags = [tag or self.default_tag for tag in tags] return tags else: return None def _check_header(self, spec, header): if self.match_all: return (spec == header) else: return (spec in header) def __iter__(self): return self _SPEC_PATTERN = r'^(.+)(#{token}([+]{token})*)$'.format(token=hxl.common.TOKEN_PATTERN) @staticmethod def parse_spec(s): """Try parsing a tagger spec (used only by the command-line tools)""" result = re.match(Tagger._SPEC_PATTERN, s) if result: return (result.group(1), hxl.model.Column.parse(result.group(2), use_exception=True).display_tag) else: raise HXLFilterException("Bad tagging spec: " + s) @staticmethod def _load(input, spec): """Create a tagger from a dict spec.""" return Tagger( input=input, specs=spec.get('specs', []), default_tag=spec.get('default_tag', None), match_all=spec.get('match_all', False) )

[ "david.megginson@megginson.com" ]

david.megginson@megginson.com

2994e4887672e2f5f3863effad6a98df827036db

1a2ca64839723ede3134a0781128b0dc0b5f6ab8

/ExtractFeatures/Data/kracekumar/sprites_tut_showmovingboxes.py

9dd45e3e2d91ca5f484f4b8638a2f0c45deff20d

[]

no_license

vivekaxl/LexisNexis

bc8ee0b92ae95a200c41bd077082212243ee248c

5fa3a818c3d41bd9c3eb25122e1d376c8910269c

refs/heads/master

2021-01-13T01:44:41.814348

2015-07-08T15:42:35

29,705,371

9

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import pygame from pygame.locals import * from sprites_tut_boxes2 import UpDownBox pygame.init() boxes = [] for color, location in [ ( [255,0,0], [0,0] ), ( [0,255,0], [60,60] ), ( [0,0,255], [120, 120]) ]: boxes.append(UpDownBox(color, location)) screen = pygame.display.set_mode([150, 150]) while pygame.event.poll().type != KEYDOWN: screen.fill([0,0,0]) # Blank the screen # Save time by only calling this once time = pygame.time.get_ticks() for b in boxes: b.update(time, 150) screen.blit(b.image, b.rect) pygame.display.update()

[ "vivekaxl@gmail.com" ]

vivekaxl@gmail.com

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/overlap_with_toxins/multiclass_classification/functions/featurizing_functions.py

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no_license

atan14/ML_agrochemical

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75e620727eb387c1948226dc5035e5d35eb0bd34

refs/heads/master

2020-03-21T23:40:16.977964

2019-05-30T20:05:19

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import numpy as np def daylight_fingerprint(mol): from rdkit.Chem.Fingerprints import FingerprintMols return np.ndarray.flatten(np.array(FingerprintMols.FingerprintMol(mol))) def daylight_fingerprint_padding(x): result = np.zeros((2048,)) result[:x.shape[0]] = x return result def get_ecfp(mol): from rdkit.Chem.rdMolDescriptors import GetMorganFingerprintAsBitVect bitstring = GetMorganFingerprintAsBitVect(mol, 2, nBits=2048).ToBitString() return np.array(list(bitstring))

[ "tanaikrui@hotmail.com" ]

tanaikrui@hotmail.com

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8afb5afd38548c631f6f9536846039ef6cb297b9

/GIT-USERS/ashishdotme/til.ashish.me/update_readme.py

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bgoonz/UsefulResourceRepo2.0

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2023-03-17T01:22:05.254751

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"Run this after build_database.py - it needs til.db" import pathlib import sqlite_utils import sys import re root = pathlib.Path(__file__).parent.resolve() index_re = re.compile(r"<!\-\- index starts \-\->.*<!\-\- index ends \-\->", re.DOTALL) if __name__ == "__main__": db = sqlite_utils.Database(root / "til.db") by_topic = {} for row in db["til"].rows_where(order_by="created_utc"): by_topic.setdefault(row["topic"], []).append(row) index = [""] for topic, rows in by_topic.items(): index.append("## {}\n".format(topic)) for row in rows: index.append( "* [{title}]({url}) - {date}".format( date=row["created"].split("T")[0], **row ) ) index.append("") if index[-1] == "": index.pop() index.append("") if "--rewrite" in sys.argv: readme = root / "README.md" index_txt = "\n".join(index).strip() readme_contents = readme.open().read() readme.open("w").write(index_re.sub(index_txt, readme_contents)) else: print("\n".join(index))

[ "bryan.guner@gmail.com" ]

bryan.guner@gmail.com

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/src/scalarizr/api/binding/jsonrpc_http.py

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kenorb-contrib/scalarizr

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from __future__ import with_statement ''' JSON-RPC over HTTP. Public Scalarizr API - Simple to Learn - Simple to Use ''' from __future__ import with_statement import os import posixpath import binascii import logging import sys import time import urllib2 import hashlib import hmac try: import json except ImportError: import simplejson as json from scalarizr import rpc from scalarizr.util import cryptotool from scalarizr.bus import bus LOG_CATEGORY = 'scalarizr.api' LOG = logging.getLogger(LOG_CATEGORY) class Security(object): DATE_FORMAT = "%a %d %b %Y %H:%M:%S UTC" def __init__(self, crypto_key_path): self.crypto_key_path = crypto_key_path def _read_crypto_key(self): return binascii.a2b_base64(open(self.crypto_key_path).read().strip()) def sign(self, data, key, timestamp=None): date = time.strftime(self.DATE_FORMAT, timestamp or time.gmtime()) canonical_string = data + date digest = hmac.new(key, canonical_string, hashlib.sha1).digest() sign = binascii.b2a_base64(digest) if sign.endswith('\n'): sign = sign[:-1] return sign, date def check_signature(self, signature, data, timestamp): calc_signature = self.sign(data, self._read_crypto_key(), time.strptime(timestamp, self.DATE_FORMAT))[0] assert signature == calc_signature, "Signature doesn't match" def decrypt_data(self, data): try: return cryptotool.decrypt(data, self._read_crypto_key()) except: raise rpc.InvalidRequestError('Failed to decrypt data') def encrypt_data(self, data): try: return cryptotool.encrypt(data, self._read_crypto_key()) except: raise rpc.InvalidRequestError('Failed to encrypt data. Error: %s' % (sys.exc_info()[1], )) class WsgiApplication(Security): def __init__(self, req_handler, crypto_key_path): Security.__init__(self, crypto_key_path) self.req_handler = req_handler def __call__(self, environ, start_response): try: length = int(environ['CONTENT_LENGTH']) data = environ['wsgi.input'].read(length) except: data = '' try: try: self.check_signature(environ['HTTP_X_SIGNATURE'], data, environ['HTTP_DATE']) data = self.decrypt_data(data) except: start_response('400 Bad request', [], sys.exc_info()) return str(sys.exc_info()[1]) req = json.loads(data) with self.handle_meta_params(req): result = self.req_handler.handle_request(req, namespace=environ['PATH_INFO'][1:] or None) result = self.encrypt_data(result) sig, date = self.sign(result, self._read_crypto_key()) headers = [('Content-type', 'application/json'), ('Content-length', str(len(result))), ('X-Signature', sig), ('Date', date)] start_response('200 OK', headers) return [result, ] except: if sys.exc_info()[0] in (SystemExit, KeyboardInterrupt): raise start_response('500 Internal Server Error', [], sys.exc_info()) LOG.exception('Unhandled exception') return '' def handle_meta_params(self, req): if 'params' in req and '_platform_access_data' in req['params']: pl = bus.platform pl.set_access_data(req['params']['_platform_access_data']) del req['params']['_platform_access_data'] return self def __enter__(self): return self def __exit__(self, *args): pl = bus.platform #pl.clear_access_data() # Commented to allow async=True processing class HttpServiceProxy(rpc.ServiceProxy, Security): def __init__(self, endpoint, crypto_key_path, server_id=None, sign_only=False): Security.__init__(self, crypto_key_path) rpc.ServiceProxy.__init__(self) self.endpoint = endpoint self.server_id = server_id self.sign_only = sign_only def exchange(self, jsonrpc_req): if self.crypto_key_path: if not self.sign_only: jsonrpc_req = self.encrypt_data(jsonrpc_req) sig, date = self.sign(jsonrpc_req, self._read_crypto_key()) headers = { 'Date': date, 'X-Signature': sig } else: headers = {} if self.server_id: headers['X-Server-Id'] = self.server_id namespace = self.local.method[0] if len(self.local.method) > 1 else '' http_req = urllib2.Request(posixpath.join(self.endpoint, namespace), jsonrpc_req, headers) try: jsonrpc_resp = urllib2.urlopen(http_req).read() if self.crypto_key_path and not self.sign_only: return self.decrypt_data(jsonrpc_resp) else: return jsonrpc_resp except urllib2.HTTPError, e: raise Exception('%s: %s' % (e.code, e.read()))

[ "kenorb@users.noreply.github.com" ]

kenorb@users.noreply.github.com

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/Problem Solving/DONGHAK/[boj]/[boj]15829.py

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[]

no_license

SSD-2021/backend-study

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refs/heads/master

2023-02-18T13:21:06.860116

2021-01-23T06:52:18

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L = int(input()) S = input() sum = 0 M = 1234567891 r = 31 i = 0 for element in S: temp = ord(element) - 96 sum += temp * (r ** i) i += 1 answer = sum % M print(answer)

[ "donghark03@naver.com" ]

donghark03@naver.com

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/crud_python_sqlite.py

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[]

no_license

bia-rodrig/CRUD-python-sqlite3

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2023-04-12T23:03:39.907505

2023-04-10T00:39:14

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import os, sqlite3 #Bianca Rodrigues #GitHub: https://github.com/bia-rodrig/ #Check if DB exists and create if doesn't ''' check = os.path.exists('db_test.db') if (not check): file = open('db_test.db', 'w') file.close() print('created') # connection to DB connection = sqlite3.connect('db_test.db') # SQLite commands cursor cursor = connection.cursor() #Create query to table sql = 'CREATE TABLE IF NOT EXISTS Contacts (ID INTEGER PRIMARY KEY AUTOINCREMENT, NAME VARCHAR(100), AGE INT, PHONE VARCHAR(20))' # Table Name: Contacts # Colunms: # ID: Integer # Name: varchar(100) # PHONE: VARCHAR(20) ''' def create_db(db_file): file = open(db_file, 'w') file.close() connection = sqlite3.connect(db_file) cursor = connection.cursor() sql = 'CREATE TABLE IF NOT EXISTS Contacts (ID INTEGER PRIMARY KEY AUTOINCREMENT, NAME VARCHAR(100), PHONE VARCHAR(20))' cursor.execute(sql) connection.close() def check_if_exists(db_file, name): connection = sqlite3.connect(db_file) cursor = connection.cursor() cursor.execute('SELECT * FROM Contacts WHERE NAME=?', (name,)) result = cursor.fetchall() if (len(result) > 0): return True else: return False def insert_contact(db_file, name, phone): connection = sqlite3.connect(db_file) cursor = connection.cursor() cursor.execute('INSERT INTO Contacts (NAME, PHONE) VALUES (?, ?)', (name, phone)) connection.commit() connection.close() def update_contact(db_file, id_var, name, phone): connection = sqlite3.connect(db_file) cursor = connection.cursor() cursor.execute('UPDATE Contacts set NAME = ?, PHONE = ? where ID=?', (name, phone, id_var)) connection.commit() connection.close() print('Contact updated\n') def search_contact(db_file, name): connection = sqlite3.connect(db_file) cursor = connection.cursor() sql = 'SELECT * FROM Contacts Where NAME LIKE \'%' + name +'%\'' cursor.execute(sql) result = cursor.fetchall() connection.close() return result def delete(db_file, contact_id): connection = sqlite3.connect(db_file) cursor = connection.cursor() cursor.execute('DELETE FROM Contacts where ID=?', (contact_id,)) connection.commit() connection.close() def list_contacts(db_name): connection = sqlite3.connect(db_name) cursor = connection.cursor() cursor.execute('SELECT * from Contacts') contacts = cursor.fetchall() connection.close() return contacts

[ "biancar1987@gmail.com" ]

biancar1987@gmail.com

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/homework03/life-gui.py

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[]

no_license

vidyakov/cs102

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refs/heads/master

2020-08-06T06:16:57.234147

2019-11-16T16:46:36

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import pygame from pygame.locals import * from life import GameOfLife from ui import UI class GUI(UI): def __init__(self, life: GameOfLife, cell_size: int=10, speed: int=10) -> None: super().__init__(life) def draw_lines(self) -> None: # Copy from previous assignment pass def draw_grid(self) -> None: # Copy from previous assignment pass def run(self) -> None: # Copy from previous assignment pass

[ "noreply@github.com" ]

vidyakov.noreply@github.com

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/BackUpFiles.py

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no_license

yusuf17-10/C99

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2023-03-11T22:08:11.067870

2021-02-25T15:46:18

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import shutil import os source=input("Enter The name Of source Directory : ") destination=input("Enter The name Of Destination Directory : ") source = source+"/" destination=destination+"/" listOfFiles=os.listdir(source) for file in listOfFiles : shutil.copy(source+file,destination)

[ "vadapallimumtaj123@gmail.com" ]

vadapallimumtaj123@gmail.com

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/panel/superadmin/migrations/0024_remove_uniuni_username.py

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Hiba-Mahboob/fyp

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# Generated by Django 3.2.7 on 2021-09-20 02:16 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('superadmin', '0023_uniuni'), ] operations = [ migrations.RemoveField( model_name='uniuni', name='username', ), ]

[ "17b-106-se@students.uit.edu" ]

17b-106-se@students.uit.edu

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import time import torch import torch.nn.functional as F from torch import optim from sklearn.decomposition import PCA import matplotlib.pylab as plt from common.util import sample, save_models, one_hot_embedding from common.initialize import initialize, infer_iteration from . import model def gp_loss(x, y, d, device): batch_size = x.size()[0] gp_alpha = torch.rand(batch_size, 1, device=device) interpx = gp_alpha * x.data + (1 - gp_alpha) * y.data interpx.requires_grad = True d_interp = d(interpx) grad_interp = torch.autograd.grad(outputs=d_interp, inputs=(interpx,), grad_outputs=torch.ones(d_interp.size(), device=device), create_graph=True, retain_graph=True, only_inputs=True)[0] diff1 = grad_interp.norm(2, dim=1) - 1 diff1 = torch.clamp(diff1, 0) return torch.mean(diff1 ** 2) def compute_loss(x, xp, encoder, contrastive, device): z = encoder(x) zp = encoder(xp) ztrue = torch.randint(z.shape[1], size=(z.shape[0],)) ztrue = one_hot_embedding(ztrue, z.shape[1]).to(device) p = contrastive(z) closs = p.mean() dloss = F.mse_loss(zp, z).mean() return dloss, closs def contrastive_loss(x, n_classes, encoder, contrastive, device): enc = encoder(x) z = torch.randint(n_classes, size=(enc.shape[0],)) z = one_hot_embedding(z, n_classes).to(device) cz = contrastive(z).mean() cenc = contrastive(enc).mean() gp = gp_loss(enc, z, contrastive, device) return cz, cenc, gp def define_models(shape1, **parameters): encoder = model.Encoder(shape1[0], **parameters) contrastive = model.Contrastive(**parameters) return { 'encoder': encoder, 'contrastive': contrastive, } @torch.no_grad() def evaluate_clusters(visualiser, encoder, target, label, id): enc = encoder(target) pca = PCA(2) emb = pca.fit_transform(enc.reshape(enc.shape[0], -1).cpu().squeeze().numpy()) fig = plt.figure() colors = [f'C{c}' for c in label.cpu().numpy()] plt.scatter(*emb.transpose(), c=colors) visualiser.matplotlib(fig, f'Embeddings {id}', None) plt.clf() plt.close(fig) @torch.no_grad() def evaluate_accuracy(visualiser, i, loader, classifier, nlabels, id, device): labels = [] preds = [] for data, label in loader: data, label = data.to(device), label.to(device) pred = F.softmax(classifier(data), 1) pred = classifier(data) labels += [label] preds += [pred] labels = torch.cat(labels) preds = torch.cat(preds).argmax(1) correct = 0 total = 0 for j in range(nlabels): label = labels[preds == j] if len(label): correct += one_hot_embedding(label, nlabels).sum(0).max() total += len(label) accuracy = correct / total accuracy = accuracy.cpu().numpy() visualiser.plot(accuracy, title=f'Classifier accuracy {id}', step=i) return accuracy def evaluate(visualiser, data, datap, id): visualiser.image(data.cpu().detach().numpy(), f'target{id}', 0) visualiser.image(datap.cpu().detach().numpy(), f'target p {id}', 0) def train(args): parameters = vars(args) train_loader1, test_loader1 = args.loaders1 models = define_models(**parameters) initialize(models, args.reload, args.save_path, args.model_path) encoder = models['encoder'].to(args.device) contrastive = models['contrastive'].to(args.device) print(encoder) print(contrastive) optim_encoder = optim.Adam(encoder.parameters(), lr=args.lr, betas=(args.beta1, args.beta2)) optim_contrastive = optim.Adam(contrastive.parameters(), lr=args.lr, betas=(args.beta1, args.beta2)) iter1 = iter(train_loader1) iteration = infer_iteration(list(models.keys())[0], args.reload, args.model_path, args.save_path) mone = torch.FloatTensor([-1]).to(args.device) t0 = time.time() for i in range(iteration, args.iterations): encoder.train() contrastive.train() for _ in range(args.d_updates): batchx, iter1 = sample(iter1, train_loader1) datax = batchx[0].float().to(args.device) optim_contrastive.zero_grad() ploss, nloss, gp = contrastive_loss(datax, args.n_classes, encoder, contrastive, args.device) ploss.backward() nloss.backward(mone) (1 * gp).backward() optim_contrastive.step() optim_encoder.zero_grad() batchx, iter1 = sample(iter1, train_loader1) datax = batchx[0].float().to(args.device) dataxp = batchx[1].float().to(args.device) dloss, closs = compute_loss(datax, dataxp, encoder, contrastive, args.device) (args.ld * dloss + closs).backward() optim_encoder.step() if i % args.evaluate == 0: encoder.eval() contrastive.eval() print('Iter: {}'.format(i), end=': ') evaluate(args.visualiser, datax, dataxp, 'x') _acc = evaluate_accuracy(args.visualiser, i, test_loader1, encoder, args.n_classes, 'x', args.device) print('disc loss: {}'.format((ploss - nloss).detach().cpu().numpy()), end='\t') print('gp: {}'.format(gp.detach().cpu().numpy()), end='\t') print('positive dist loss: {}'.format(dloss.detach().cpu().numpy()), end='\t') print('contrast. loss: {}'.format(closs.detach().cpu().numpy()), end='\t') print('Accuracy: {}'.format(_acc)) t0 = time.time() save_models(models, i, args.model_path, args.checkpoint)

[ "samuel.lavoie.m@gmail.com" ]

samuel.lavoie.m@gmail.com

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2022-04-25T19:56:04.537359

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import the_super_tiny_compiler input_string = "(add 2 (subtract 4 2))" output_string = "add(2, subtract(4, 2));" expected_tokens = [ { "type": "paren", "value": "(" }, { "type": "name", "value": "add" }, { "type": "number", "value": "2" }, { "type": "paren", "value": "(" }, { "type": "name", "value": "subtract" }, { "type": "number", "value": "4" }, { "type": "number", "value": "2" }, { "type": "paren", "value": ")" }, { "type": "paren", "value": ")" } ] expected_ast = { "type": "Program", "body": [ { "type": "CallExpression", "name": "add", "params": [ { "type": "NumberLiteral", "value": "2" }, { "type": "CallExpression", "name": "subtract", "params": [ { "type": "NumberLiteral", "value": "4" }, { "type": "NumberLiteral", "value": "2" } ] } ] } ] } expected_new_ast = { "type": "Program", "body": [ { "type": "ExpressionStatement", "expression": { "type": "CallExpression", "callee": { "type": "Identifier", "name": "add" }, "arguments": [ { "type": "NumberLiteral", "value": "2" }, { "type": "CallExpression", "callee": { "type": "Identifier", "name": "subtract" }, "arguments": [ { "type": "NumberLiteral", "value": "4" }, { "type": "NumberLiteral", "value": "2" } ] } ] } } ] } def test_compiler(): tokens = the_super_tiny_compiler.tokenizer(input_string) ast = the_super_tiny_compiler.parser(tokens) new_ast = the_super_tiny_compiler.transformer(ast) generated_code = the_super_tiny_compiler.code_generator(new_ast) output = the_super_tiny_compiler.compiler(input_string) assert tokens == expected_tokens assert ast == expected_ast assert new_ast == expected_new_ast assert generated_code == output_string assert output == output_string

[ "deejaynof@gmail.com" ]

deejaynof@gmail.com

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pts/staticpython

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"""pipes module for StaticPython.""" # Safe unquoted _safechars = frozenset('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_@%-+=:,./') def quote(file): """Return a shell-escaped version of the file string.""" for c in file: if c not in _safechars: break else: if not file: return "''" return file # use single quotes, and put single quotes into double quotes # the string $'b is then quoted as '$'"'"'b' return "'" + file.replace("'", "'\"'\"'") + "'"

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pts@fazekas.hu

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najoshi/ucd-biocore-galaxy-command-line

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2020-07-09T05:01:01.202511

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#!/afs/bx.psu.edu/project/pythons/py2.7-linux-x86_64-ucs4/bin/python2.7 """ Print number of bases covered by all intervals in a bed file (bases covered by more than one interval are counted only once). Multiple bed files can be provided on the command line or to stdin. usage: %prog bed files ... """ import psyco_full import sys from bx.bitset import BinnedBitSet from bx.bitset_builders import * from itertools import * bed_filenames = sys.argv[1:] if bed_filenames: input = chain( * imap( open, bed_filenames ) ) else: input = sys.stdin bitsets = binned_bitsets_from_file( input ) total = 0 for chrom in bitsets: total += bitsets[chrom].count_range( 0, bitsets[chrom].size ) print total

[ "najoshi@ucdavis.edu" ]

najoshi@ucdavis.edu

e233dae0ba7bdbac9a4a8bddf19892c13945c25a

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/main.py

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[]

no_license

standardgalactic/Gibbs-sampling

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refs/heads/master

2022-02-15T09:20:51.347003

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__author__ = 'chinna' import theano from theano import tensor as T import numpy as np import matplotlib.pyplot as plt from theano import shared from theano import function import scipy as sp from scipy import signal from PIL import Image class gibbs_sampler_class: def __init__(self,config): print "Creating Gibbs sampler..." self.config = config np.random.seed(self.config['seed']) self.d = config['grid_size'] self.X = np.zeros((self.d+2,self.d+2)) p = config['p'] d = self.d self.X[1:d+1,1:d+1] = np.random.choice(np.array([1,-1]),size=(d,d),p=[p,1-p])#2*np.random.binomial(1,config['p'],(self.d,self.d)) - 1 self.row = 1 self.col = 0 print "Grid size :",self.d,'x',self.d print "initilization done..." # iterator ( row wise ) def get_next(self): self.col += 1 # end of matrix, start over if self.row == self.d and self.col > self.d: self.row = self.col = 1 # end of row. go to next row if self.col > self.d: self.col = 1 self.row += 1 return self.row, self.col def nbr_sum(self,X,i,j): return X[i,j+1] + X[i,j-1] + X[i+1,j] + X[i-1,j] def sample(self,i,j): X,t = self. X,self.config['theta'] s = self.nbr_sum(X,i,j) p = np.exp(t*s)/(np.exp(t*s) + np.exp(-t*s)) return np.random.choice(np.array([1,-1]),size=(1,),p=[p,1-p])#2*np.random.binomial(1,p) - 1 def plot(self,file,X): fig = plt.figure(figsize=(5,5)) ax = fig.add_subplot(111) ax.set_title('colorMap') plt.pcolor(X,cmap='Greys')#'Reds') plt.savefig(file) print "plot saved as :",file def run(self): self.plot(self.config['name'] + "_before.jpeg",self.X[1:self.d+1,1:self.d+1]) L_heatmap = [] for k in range(self.config['iterations']+1): for m_t in range((self.d**2)): i,j = self.get_next() self.X[i,j] = self.sample(i,j) L_heatmap.append(self.X[1:self.d+1,1:self.d+1].flatten()) if k % self.config['visualize_checkpt'] == 0: print "#Iterations completed:",k self.plot(self.config['name'] + "_itr_"+str(k)+".jpeg",self.X[1:self.d+1,1:self.d+1]) self.plot("vanilla_gibbs_heat_map.jpeg",np.array(L_heatmap)) """ ================================================= """ """ ================================================= """ """ =========== Block-Gibbs sampling =============== """ """ ================================================= """ """ ================================================= """ class node: num_nodes = 0 def __init__(self,theta,d=1): self.__class__.num_nodes += 1 #print "creating node...",self.__class__.num_nodes self.node_id = self.__class__.num_nodes self.t = theta p = 0.5 self.x = np.random.choice(np.array([1,-1]),size=(2,),p=[p,1-p]) self.l = None self.r = None x = np.exp(self.t) self.bf = np.array([[x,1/x],[1/x,x]]) def update_bf(self,a,b): t = self.t for i in range(2): for j in range(2): x1 = 2*i - 1 x2 = 2*j - 1 self.bf[i][j] *= np.exp(t*x1*a + t*x2*b) def normalize_bf(self): self.bf = self.bf/(self.bf.sum()) class block_gibbs_sampler_class: def __init__(self,config): self.config = config print "Initializing for belief prop..." np.random.seed(config['seed']) self.d = config['num_nodes'] self.n_m = config['num_messages'] self.k = config['variable_cardinality'] self.t = config['theta'] x = np.exp(self.t) self.phi = np.array([[x,1/x],[1/x,x]]) self.nodes = []#np.array([node(t) for i in range(d)]) self.root = [None]*2 #self.msgs = np.array([belief(k) for i in range(n_m)]) def plot(self,file,X): fig = plt.figure(figsize=(5,5)) ax = fig.add_subplot(111) ax.set_title('colorMap') plt.pcolor(X,cmap='Greys')#'Reds') plt.savefig(file) print "plot saved as :",file def add_nodes_to_left(self,root,d): itr = root for i in range(d): itr.l = node(self.t) itr = itr.l return itr def add_nodes_to_right(self,root,d): itr = root for i in range(d): itr.r = node(self.t) itr = itr.r return itr #comb structure def create_clique_tree(self,d): root = node(self.t) self.add_nodes_to_left(root, d-2) itr = root for i in range(d): itr.r = node(self.t) itr = itr.r if i%2 != 0: self.add_nodes_to_left(itr,d-1) return root #update the phi / beliefs in the function #from the nbr samples def update_clique_tree(self,root,samples): assert len(samples) == self.d / 2 # treat the first branch alone differently # due to the assymetry in the clique tree tmp_itr = root.l for j in range(self.d - 3): tmp_itr.update_bf(samples[0][j],0) if j == self.d - 4: tmp_itr.update_bf(0,samples[0][j+1]) tmp_itr.update_bf(0,samples[0][j+2]) tmp_itr = tmp_itr.l sample_comb = 0 itr = root.r for i in range(self.d-1): if i%2 == 0: itr.update_bf(0,samples[sample_comb][0]) else: tmp_itr = itr.l for j in range(self.d - 2): tmp_itr.update_bf(samples[sample_comb][j],0) tmp_itr.update_bf(0,samples[sample_comb+1][j]) if j == self.d - 3: tmp_itr.update_bf(0,samples[sample_comb+1][j+1]) tmp_itr = tmp_itr.l sample_comb += 1 itr = itr.r def gen_message_down_bp(self,root,m): # include the incoming the message over the left item for i in range(2): for j in range(2): root.bf[i][j] *= m[i] # gen message by marglinizing the left item return root.bf.sum(axis=0) #preorder traversal def downward_msg_pass_util(self,root,m,p_type): if root == None: return None #print "visiting node id:",root.node_id #get message new_m = self.gen_message_down_bp(root,m) #pass the message to the children self.downward_msg_pass_util(root.l, new_m,0) self.downward_msg_pass_util(root.r, new_m,1) def downward_msg_pass(self,root): print "Triggering downward pass..." #Gen explicit msgs for the root due to the assymtry rmsg = root.bf.sum(axis=0) lmsg = root.bf.sum(axis=1) self.downward_msg_pass_util(root.r,rmsg,0) self.downward_msg_pass_util(root.l,lmsg,0) print "downward pass done..." def gen_message_up_bp(self,root,m): # include the incoming the message over the right item for i in range(2): for j in range(2): root.bf[i][j] *= m[j] # gen message by marglinizing the right item return root.bf.sum(axis=1) # post order traversal def upward_msg_pass_util(self,root): if root == None: return np.ones(2) lmsg = self.upward_msg_pass_util(root.l) rmsg = self.upward_msg_pass_util(root.r) #print "visiting node id :",root.node_id, lmsg new_m = self.gen_message_up_bp(root, lmsg * rmsg) return new_m def upward_msg_pass(self,root): #print "Triggering upward pass..." lmsg = self.upward_msg_pass_util(root.r) rmsg = self.upward_msg_pass_util(root.l) # dealing with root here due to the assymtry for i in range(2): for j in range(2): root.bf[i][j] *= lmsg[j]*rmsg[i] #print "upward pass done..." def get_sample_with(self,p): return np.random.choice(np.array([1,-1]),size=(1,),p=[p,1-p]) def get_samples_util(self,root,p_x,s_x,L_samples): if root == None: return p_child_parent = root.bf[(s_x+1)/2,:] # choose the row based on s_x p_child_given_parent = p_child_parent / p_x[(s_x+1)/2] p_child_given_parent = p_child_given_parent/p_child_given_parent.sum() new_sample = self.get_sample_with(p_child_given_parent[0,1]) L_samples.append(new_sample) #print "appending sample",new_sample, len(L_samples), root.node_id p_child = (root.bf.sum(axis=0)) #marginalize left item p_child = p_child/p_child.sum() self.get_samples_util(root.l, p_child, new_sample, L_samples) self.get_samples_util(root.r, p_child, new_sample, L_samples) def get_samples(self,root): #print "getting samples...." # get two samples from the root node and give one to each child L_samples = [] p_x11 = root.bf.sum(axis=1) p_x11 = p_x11/p_x11.sum() s_x11 = self.get_sample_with(p_x11[1]) p_x21 = root.bf.sum(axis=0) p_x21 = p_x21/p_x21.sum() s_x21 = self.get_sample_with(p_x21[1]) L_samples.append(s_x11) L_samples.append(s_x21) self.get_samples_util(root.l,p_x21,s_x21,L_samples) self.get_samples_util(root.r,p_x11,s_x11,L_samples) assert len(L_samples) == (self.d**2)/2 formatted_samples = np.ones((self.d/2, self.d-1)) d = self.d for i in range(self.d/2): for j in range(d-1): formatted_samples[-i-1,j] = L_samples[i*d+j] if j == d-2: formatted_samples[-i-1,j] = L_samples[i*d+d-1] #print formatted_samples[-i-1] #print "sampling done...",len(L_samples) return formatted_samples, L_samples def normlize_util(self,root): if root == None: return root.normalize_bf() self.normlize_util(root.l) self.normlize_util(root.r) def normalize(self,root): print "Normalizing beliefs..." self.normlize_util(root) def visualize(self,b,itr_num): d = self.d visual = np.zeros((d,d)) for j in range(d): if j % 2 ==0: for i in range(d-1): visual[i][j] = b[0][(d*j)/2 + i] visual[d-1][j] = b[1][-1 - (d*j)/2] else: visual[0][j] = b[0][d-1+d*(j/2)] for i in range(1,d): visual[i][j] = b[1][-1-i-d*(j/2)] file = "block_gibbs_iteration_" + str(itr_num) + ".jpeg" self.plot(file,visual) def gen_heatmap(self,b,L_heatmap): d = self.d visual = np.zeros((d,d)) for j in range(d): if j % 2 ==0: for i in range(d-1): visual[i][j] = b[0][(d*j)/2 + i] visual[d-1][j] = b[1][-1 - (d*j)/2] else: visual[0][j] = b[0][d-1+d*(j/2)] for i in range(1,d): visual[i][j] = b[1][-1-i-d*(j/2)] L_heatmap.append(visual.reshape((d*d,))) def run(self): print "running belief prop..." form_samples_shape = (self.d/2, self.d-1) p = 0.5 formatted_samples = np.random.choice(np.array([1,-1]),size=(form_samples_shape),p=[p,1-p]) L_heatmap = [] block = 0 for i in range(self.config['iterations']+1): #print "iteration:",i #block0 for j in range(2): self.root[j] = self.create_clique_tree(self.d-1) self.update_clique_tree(self.root[0],formatted_samples) self.upward_msg_pass(self.root[0]) #self.downward_msg_pass(self.root1) formatted_samples,b1_samples = self.get_samples(self.root[0]) #block1 self.update_clique_tree(self.root[1],formatted_samples) self.upward_msg_pass(self.root[1]) formatted_samples,b2_samples = self.get_samples(self.root[1]) self.gen_heatmap([b1_samples,b2_samples],L_heatmap) if i%self.config['visualize_checkpt'] == 0: print "Running iteration :",i self.visualize([b1_samples,b2_samples],i) self.plot("block_gibbs_heat_map.jpeg",np.array(L_heatmap)) def run_sub_problem2(): config = {} config['p'] = 0.5 config['iterations'] = 1000 config['visualize_checkpt'] = 100 config['grid_size'] = 30 config['theta'] = 0.5 config['seed'] = 42 config['name'] = 'vanilla_gibbs' gibbs_sampler = gibbs_sampler_class(config) gibbs_sampler.run() def run_sub_problem3(): # problem config config = {} config['p'] = 0.5 config['iterations'] = 1000 config['visualize_checkpt'] = 100 config['grid_size'] = 30 config['theta'] = 0.5 config['seed'] = 42 config['num_nodes'] = config['grid_size'] config['num_messages'] = 4 config['variable_cardinality'] = 2 block_gibbs_sampler= block_gibbs_sampler_class(config) block_gibbs_sampler.run() if __name__ == "__main__": run_sub_problem2() run_sub_problem3()

[ "chinnadhurai@gmail.com" ]

chinnadhurai@gmail.com

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seoyeonhwng/algorithm

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# Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution: def swapPairs(self, head: ListNode) -> ListNode: root = prev = ListNode(None) prev.next = head while head and head.next: # b가 a(head)를 가리키도록 할당 b = head.next head.next = b.next b.next = head prev.next = b head = head.next prev = prev.next.next return root.next

[ "seoyeon@nowbusking.com" ]

seoyeon@nowbusking.com

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/catagory/JianzhiOffer/stage-04/0376-binary-tree-path-sum.py

09f548c21cfe7f1906cf346e4628da16006ad407

[]

no_license

zzy1120716/my-nine-chapter

04b3e4d43a0d8086e5c958b81a3dc4356622d65f

c7bf3eed366b91d6bdebb79d0f11680cf7c18344

refs/heads/master

2020-03-30T03:07:14.748145

2019-05-15T13:07:44

150,670,072

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1

null

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py

""" 376. 二叉树的路径和中文English 给定一个二叉树，找出所有路径中各节点相加总和等于给定目标值的路径。一个有效的路径，指的是从根节点到叶节点的路径。样例给定一个二叉树，和目标值 = 5: 1 / \ 2 4 / \ 2 3 返回： [ [1, 2, 2], [1, 4] ] """ # Definition of TreeNode: class TreeNode: def __init__(self, val): self.val = val self.left, self.right = None, None class Solution: """ @param: root: the root of binary tree @param: target: An integer @return: all valid paths """ def binaryTreePathSum(self, root, target): # write your code here ans = [] self.helper(root, [], ans, target) return ans def helper(self, root, path, ans, target): if not root: return path.append(root.val) if not root.left and not root.right and root.val == target: ans.append(path[:]) self.helper(root.left, path, ans, target - root.val) self.helper(root.right, path, ans, target - root.val) path.pop()

[ "zzy1120716@126.com" ]

zzy1120716@126.com

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/sdk/python/pulumi_azure_nextgen/datashare/v20181101preview/get_data_set_mapping.py

55fc5d19fd9e4b4798021b855d7b238d175d2bb4

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

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test-wiz-sec/pulumi-azure-nextgen

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2023-06-08T02:35:52.639773

2020-11-06T22:39:06

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2023-06-02T06:47:28

2020-11-15T09:04:00

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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union from ... import _utilities, _tables __all__ = [ 'GetDataSetMappingResult', 'AwaitableGetDataSetMappingResult', 'get_data_set_mapping', ] @pulumi.output_type class GetDataSetMappingResult: """ A data set mapping data transfer object. """ def __init__(__self__, kind=None, name=None, type=None): if kind and not isinstance(kind, str): raise TypeError("Expected argument 'kind' to be a str") pulumi.set(__self__, "kind", kind) if name and not isinstance(name, str): raise TypeError("Expected argument 'name' to be a str") pulumi.set(__self__, "name", name) if type and not isinstance(type, str): raise TypeError("Expected argument 'type' to be a str") pulumi.set(__self__, "type", type) @property @pulumi.getter def kind(self) -> str: """ Kind of data set mapping. """ return pulumi.get(self, "kind") @property @pulumi.getter def name(self) -> str: """ Name of the azure resource """ return pulumi.get(self, "name") @property @pulumi.getter def type(self) -> str: """ Type of the azure resource """ return pulumi.get(self, "type") class AwaitableGetDataSetMappingResult(GetDataSetMappingResult): # pylint: disable=using-constant-test def __await__(self): if False: yield self return GetDataSetMappingResult( kind=self.kind, name=self.name, type=self.type) def get_data_set_mapping(account_name: Optional[str] = None, data_set_mapping_name: Optional[str] = None, resource_group_name: Optional[str] = None, share_subscription_name: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetDataSetMappingResult: """ Use this data source to access information about an existing resource. :param str account_name: The name of the share account. :param str data_set_mapping_name: The name of the dataSetMapping. :param str resource_group_name: The resource group name. :param str share_subscription_name: The name of the shareSubscription. """ __args__ = dict() __args__['accountName'] = account_name __args__['dataSetMappingName'] = data_set_mapping_name __args__['resourceGroupName'] = resource_group_name __args__['shareSubscriptionName'] = share_subscription_name if opts is None: opts = pulumi.InvokeOptions() if opts.version is None: opts.version = _utilities.get_version() __ret__ = pulumi.runtime.invoke('azure-nextgen:datashare/v20181101preview:getDataSetMapping', __args__, opts=opts, typ=GetDataSetMappingResult).value return AwaitableGetDataSetMappingResult( kind=__ret__.kind, name=__ret__.name, type=__ret__.type)

[ "public@paulstack.co.uk" ]

public@paulstack.co.uk

73d70662fc18497745cf16fbd499aecf914b036e

9d68e4c8e210b4a25483887a5d10850bdbe0b712

/234.py

a75de8a7e1be722cd15b406f231464b698469669

[]

no_license

kliner/leetcode

588f26e8d9a977ef8c581ba89165c9a1360187ac

4145d415dabb2e5e8195817b517e5a28e2bf216f

refs/heads/master

2020-12-24T16:15:31.060680

2016-02-25T15:38:29

33,992,348

0

null

UTF-8

Python

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897

py

# Definition for singly-linked list. class ListNode(object): def __init__(self, x): self.val = x self.next = None class Solution(object): def isPalindrome(self, head): """ :type head: ListNode :rtype: bool """ cur = head newHead = None while cur != None: tmp = ListNode(cur.val) tmp.next = newHead newHead = tmp cur = cur.next cur = head while cur != None: if cur.val != newHead.val: return False cur = cur.next newHead = newHead.next return True if __name__ == '__main__': test = Solution() n = ListNode(1) print test.isPalindrome(n) n.next = ListNode(6) print test.isPalindrome(n) n.next.next = ListNode(1) print test.isPalindrome(n)

[ "kliner@live.cn" ]

kliner@live.cn

23c24ca31a1dd9dc5822143c5c8eced6558c253d

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/components/lib/filter_mongo.py

7d4dc3319f0fc6826bdc77ea942293ad90c15671

[]

no_license

zmilan/plutonium

71568594f3048cc2d325f50be1cb09b7966c5c89

1df584ec481f7f9e51c54b2dfaa327cdcc7c23bc

refs/heads/master

2021-01-01T19:33:01.089534

2015-10-30T20:27:38

null

0

null

UTF-8

Python

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filters = {} def filter(collection): def helper1(func): def helper2(**kw): ret = func(**kw) #ret.update({'__collection__': collection}) return ret filters[func.__name__] = helper2 return helper2 return helper1 class Filter(object): def __init__(self, item=None, **kw): if item: self.stop = item.pop('__stop__', None) self.raw_filter = item.copy() self.name = item.pop('__filter__') self.full_name = str([self.name] + sorted(self.raw_filter.items())) self.key = item.pop('__key__', None) self.limit = item.pop('__limit__', None) self.collection = item.pop('__collection__') self.skip = item.pop('__skip__', 0) self.filter = filters[self.name](**item) else: item = kw self.stop = item.pop('stop', None) self.raw_filter = item.copy() self.name = item.pop('filter') self.full_name = str([self.name] + sorted(self.raw_filter.items())) self.key = item.pop('key', None) self.limit = item.pop('limit', None) self.collection = item.pop('collection') self.skip = item.pop('skip', 0) self.filter = filters[self.name](**item) def pass_filter(self, model): print('model en pass_filter', model) if '__deleted__' in model.keys(): return False for key, value in self.filter.items(): if key == '__collection__': continue v = model.get(key) if v is None: return False if type(value) == int or type(value) == str: if v != value: return False else: for op, val in value.items(): if op == '$gt': if v <= val: return False elif op == '$lt': if v >= val: return False elif op == '$gte': if v < val: return False elif op == '$lte': if v > val: return False return True def _pass_filter(filter, model): print('model en pass_filter', model) if '__deleted__' in model.keys(): return False for key, value in filter.items(): if key == '__collection__': continue v = model.get(key) if v is None: return False if type(value) == int or type(value) == str: if v != value: return False else: for op, val in value.items(): if op == '$gt': if v <= val: return False elif op == '$lt': if v >= val: return False elif op == '$gte': if v < val: return False elif op == '$lte': if v > val: return False return True

[ "miguel.alarcos@gmail.com" ]

miguel.alarcos@gmail.com

b1494fd9fd38995cfefa98dab60e75f584231fd0

ff81a9d7880f1b85a1dc19d5eba5ac72d7179c86

/pychron/labbook/tasks/actions.py

4c142ac4a827f87beb652a7d47c0fe7d622d8d58

[ "Apache-2.0" ]

permissive

UManPychron/pychron

2fb7e479a9f492423c0f458c70102c499e1062c4

b84c9fd70072f9cbda30abe2c471e64fe3dd75d8

refs/heads/develop

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2020-01-29T19:02:20

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2015-05-23T00:10:05

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# =============================================================================== # Copyright 2014 Jake Ross # # 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. # =============================================================================== # ============= enthought library imports ======================= from __future__ import absolute_import from pyface.tasks.action.task_action import TaskAction # ============= standard library imports ======================== # ============= local library imports ========================== from pychron.envisage.resources import icon class AddNoteAction(TaskAction): name = 'Add Note' method = 'add_note' image = icon('note-add') class SaveNoteAction(TaskAction): name = 'Save Note' method = 'save_note' image = icon('document-save') class AddFolderAction(TaskAction): name = 'Add Folder' method = 'add_folder' image = icon('folder-new') class PushAction(TaskAction): name = 'Push' method = 'push' image = icon('arrow_up') class PullAction(TaskAction): name = 'Pull' method = 'pull' image = icon('arrow_down') class NewLabelAction(TaskAction): name = 'New Label' method = 'new_label' image = icon('add') # ============= EOF =============================================

[ "jirhiker@gmail.com" ]

jirhiker@gmail.com

4e097a35fdfa9814cae2d318dd92445c9608917c

e4719910564b923cae492cf5f1ccd8590a6cda05

/app/preprocessings/livedoor.py

5c1ad0e4a7b1050a9188bf821ec836b056c22e4b

[]

no_license

ninnin-engineer/natural-language-classifier

4f4b8865fa8a0cb453ae96ba7db76a0565795979

2ca0d8799b7a0ec60e86c83017eb696cf5874625

refs/heads/master

2021-08-16T17:33:24.208039

2017-11-20T05:59:15

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UTF-8

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py

import glob import os import numpy as np import pandas as pd BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) LIVEDOOR_DIR = os.path.join(BASE_DIR, 'data', 'livedoor') def load_df(): category = { 'dokujo-tsushin': 1, 'it-life-hack':2, 'kaden-channel': 3, 'livedoor-homme': 4, 'movie-enter': 5, 'peachy': 6, 'smax': 7, 'sports-watch': 8, 'topic-news':9 } docs = [] labels = [] for c_name, c_id in category.items(): files = glob.glob(LIVEDOOR_DIR + "/text/{c_name}/{c_name}*.txt".format(c_name=c_name)) text = '' for file in files: with open(file, 'r') as f: lines = f.read().splitlines() url = lines[0] datetime = lines[1] subject = lines[2] body = "\n".join(lines[3:]) text = subject + "\n" + body docs.append(text) labels.append(c_id) df = pd.DataFrame(data = { 'docs': docs, 'labels': labels }) np.random.seed(0) return df.reindex(np.random.permutation(df.index))

[ "afujiwara2012@gmail.com" ]

afujiwara2012@gmail.com

75dc191ffa958cad0e57397c2cd8e0d23936a5ed

7c1e597df32844e1c2a5b1b83456813b2f5d5abb

/does_it_live_v0.10.py

30b233eee70804315894039da9225cbf8c734ae0

[]

no_license

alexisdacquay/does_it_live

6c835ceeab787962cd3048f821dee139c96ce1c6

241b00c9bcfd399b1cb8e11ee6e64588048101b9

refs/heads/master

2022-07-08T00:52:54.043402

2022-06-15T20:08:44

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#!/usr/bin/env python # # Version 1.0 2018-08-08 # Written by: # Alexis Dacquay import argparse import time import os import signal import subprocess import socket import sys import signal import re import platform #import syslog #import sys #import datetime #from ctypes import cdll, byref, create_string_buffer def trace( *msg ): if args.debug: if len(msg) > 1: # If 2 strings were passed for trace print out print ( '{:20} {}'.format( msg[ 0 ], msg[ 1 ] ) ) else: # If only 1 message was passed to print print ( msg[0] ) def parseArgs(): parser = argparse.ArgumentParser( description='Checks whether a destination \ is alive' ) parser.add_argument( '-x', '--debug', action='store_true', help='activates debug output' ) parser.add_argument( '-i', '--interval', type=int, default=5, help='Interval of polls. Default is 5' ) parser.add_argument( '-t', '--timeout', type=int, default=5, help='Amount of seconds to wait for a response' ) parser.add_argument( '-m', '--mode', default='icmp', help='detection mode: ICMP, DNS or SSH. \ Default is ICMP' ) parser.add_argument( '-s', '--source', help='source IP address to reach' ) parser.add_argument( '-d', '--dns', help='IP address of the DNS name-server, to be used in\ conjunction with the DNS mode and a FQDN' ) parser.add_argument( 'host', nargs='+', help='FQDN or IP address of the destination(s) to \ check' ) args = parser.parse_args() return args def checkOS( ) os = platform.system() if os == 'Linux': # On EOS Linux kernel timeout is in second and IP source as "Interface" timeUnit = 1000 sourceSetting = '-I' if os == 'Darwin': # On MACOS timeout is in msec and IP source as "Source" timeUnit = 1000 sourceSetting = '-S' def checkSocket( ip, port, timeout ): s = socket.socket( socket.AF_INET, socket.SOCK_STREAM ) s.settimeout( timeout ) try: s.connect( ( ip, port ) ) trace( "{} - Port {} is reachable".format( ip, port ) ) test_success = True except socket.error as e: trace( "Error on connect: {}".format( e )) test_success = False s.settimeout( None ) #fileobj = s.makefile( 'rb', 0 ) s.close() return( test_success ) class checkICMP: def __init__( self, host ): self.host = host def getLatency( self, output ): # Must get an output first, check with isAlive() outputLines = output.split('\n') lastNonEmpty = [ i for i in outputLines if i ][ -1 ] trace( 'Ping result:', lastNonEmpty) timingData = lastNonEmpty.split( '=' )[1] timingStats = timingData.split( '/' ) #pingMin = float( timingStats[ 0 ] ) pingAvg = float( timingStats[ 1 ] ) #pingMax = float( timingStats[ 2 ] ) return pingAvg def isAlive( self ): result = '' pythonVersion = sys.version_info[ 0 ] trace( 'Python version:', pythonVersion ) src_exists = True if args.source else False command = [ 'ping' ] + \ [ '-c 1' ] + \ [ '-t ' + str( args.timeout ) ] + \ [ '-S ' + str( args.source ) ] * src_exists + \ [ self.host ] trace( 'The command is:', str( command ) ) # Python 2 compatibility if sys.version_info[ 0 ] < 3: # !!!!!!!!!! To Do: harmonise ping command across v2 and v3 versions proc = subprocess.Popen( [ 'ping', '-n', '-c 1', '-W 1', self.host ], \ stdout = subprocess.PIPE, stderr = subprocess.PIPE ) returncode = proc.wait() if returncode == 0: rawOutput = proc.communicate() output = rawOutput[0].decode( 'ascii' ) trace( 'The latency is:', self.getLatency( output ) ) result = True else: error = 'The ICMP check did not succeed' trace( 'Error:', error ) result = False # Python 3 if sys.version_info[ 0 ] >= 3: proc = subprocess.run( command, capture_output = True ) if proc.returncode == 0: output = proc.stdout.decode( 'ascii' ) trace( 'The latency is:', self.getLatency( output ) ) result = True else: # if proc.returncode != 0 it means an error occured error = proc.stderr.decode( 'ascii' ) trace( 'Error:', error ) result = False return result def main(): global args # Signal handling used to quit by Ctrl+C without tracekack signal.signal( signal.SIGINT, lambda sig_number, current_stack_frame: sys.exit( 0 ) ) args = parseArgs() trace( 'Args are:', args ) global timeUnit, sourceSetting checkOS() check = checkICMP( args.host[ 0 ] ) while True: if check.isAlive(): print( "Target is alive" ) time.sleep( 5 ) if __name__ == '__main__': main()

[ "adacquay@gmail.com" ]

adacquay@gmail.com