Reset23/the-stack-v2-blamed2 · Datasets at Hugging Face

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/flaskr/blog.py

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luisfdresch/flask-tutorial

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refs/heads/main

2023-01-12T13:10:40.568332

2020-11-06T21:06:14

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from flask import Blueprint, flash, g, redirect, render_template, request, url_for from werkzeug.exceptions import abort from flaskr.auth import login_required from flaskr.db import get_db bp = Blueprint('blog', __name__) @bp.route('/') def index(): db = get_db() posts = db.execute( 'SELECT p.id, title, body, created, author_id, username' ' FROM post p JOIN user u ON p.author_id = u.id' ' ORDER BY created DESC' ).fetchall() return render_template('blog/index.html', posts=posts) @bp.route('/create', methods=('GET', 'POST')) @login_required def create(): if request.method == 'POST': title = request.form['title'] body = request.form['body'] error = None if not title: error = 'Title is required' if error is not None: flash(error) else: db = get_db() db.execute( 'INSERT INTO post (title, body, author_id)' ' VALUES (?, ?, ?)', (title, body, g.user['id']) ) db.commit() return redirect(url_for('blog.index')) return render_template('blog/create.html') def get_post(id, check_author=True): post = get_db().execute( 'SELECT p.id, title, body, created, author_id, username' ' FROM post p JOIN user u ON p.author_id = u.id' ' WHERE p.id = ?', (id,) ).fetchone() if post is None: abort(404, "Post {0} doesn't exist.".format(id)) if check_author and post['author_id'] != g.user['id']: abort(403) return post @bp.route('/<int:id>/update', methods=('GET', 'POST')) @login_required def update(id): post = get_post(id) if request.method == 'POST': title = request.form['title'] body = request.form['body'] error = None if not title: error = 'Title is required' if error is not None: flash(error) else: db = get_db() db.execute( 'UPDATE post SET title = ?, body = ?' ' WHERE id = ?', (title, body, id) ) db.commit() return redirect(url_for('blog.index')) return render_template('blog/update.html', post=post) @bp.route('/<int:id>/delete', methods=('POST',)) @login_required def delete(id): get_post(id) db = get_db() db.execute('DELETE FROM post WHERE id = ?', (id,)) db.commit() return redirect(url_for('blog.index'))

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66801762+luisfdresch@users.noreply.github.com

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/lesson10/basic/warehouse.py

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lvshaokang/python

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class WarehouseManageSys: def __init__(self): self.item_detail = {"老坛酸菜": 5, "红烧牛肉": 4, "酸辣粉": 6, "拉面": 7, "老干妈": 10, "乌江": 2, "王中王": 2, "蒜肠": 12, "淀粉肠": 8} def get_item_list(self, item_type): pm_list = ["老坛酸菜", "红烧牛肉", "酸辣粉", "拉面"] zc_list = ["老干妈", "乌江"] xc_list = ["王中王", "蒜肠", "淀粉肠"] if item_type == "pm": return pm_list elif item_type == "zc": return zc_list elif item_type == "xc": return xc_list

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lvshaokang@hotmail.com

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/object_ref_object.py

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lamontu/starter

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# -*- coding: utf-8 -*- class from_obj(object): def __init__(self, to_obj): self.to_obj = to_obj print('b = [1, 2, 3]') b = [1, 2, 3] print('a = from_obj(b)') a = from_obj(b) print('id(b) >>>>') print(hex(id(b))) print() print('id(a) >>>>') print(hex(id(a))) print() print('id(a.to_obj) >>>>') print(hex(id(a.to_obj)))

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lamontyu@163.com

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/tests/incident/test_resolve.py

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pklauke/pycamunda

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# -*- coding: utf-8 -*- import unittest.mock import pytest import pycamunda.incident from tests.mock import raise_requests_exception_mock, not_ok_response_mock def test_resolve_params(engine_url): resolve_incident = pycamunda.incident.Resolve(url=engine_url, id_='anId') assert resolve_incident.url == engine_url + '/incident/anId' assert resolve_incident.query_parameters() == {} assert resolve_incident.body_parameters() == {} @unittest.mock.patch('requests.Session.request') def test_resolve_calls_requests(mock, engine_url): resolve_incident = pycamunda.incident.Resolve(url=engine_url, id_='anId') resolve_incident() assert mock.called assert mock.call_args[1]['method'].upper() == 'DELETE' @unittest.mock.patch('requests.Session.request', raise_requests_exception_mock) def test_resolve_raises_pycamunda_exception(engine_url): resolve_incident = pycamunda.incident.Resolve(url=engine_url, id_='anId') with pytest.raises(pycamunda.PyCamundaException): resolve_incident() @unittest.mock.patch('requests.Session.request', not_ok_response_mock) @unittest.mock.patch('pycamunda.base._raise_for_status') def test_resolve_raises_for_status(mock, engine_url): resolve_incident = pycamunda.incident.Resolve(url=engine_url, id_='anId') resolve_incident() assert mock.called @unittest.mock.patch('requests.Session.request', unittest.mock.MagicMock()) def test_resolve_returns_none(engine_url): resolve_incident = pycamunda.incident.Resolve(url=engine_url, id_='anId') result = resolve_incident() assert result is None

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/temp/toy/python/238. Product of Array Except Self.py

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xixihaha1995/CS61B_SP19_SP20

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refs/heads/master

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2020-10-29T04:50:01

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class Solution: def productExceptSelf(self, nums: List[int]) -> List[int]: res, p, q = [1], 1, 1 for i in range(len(nums)-1): p *= nums[i] res.append(p) for i in range(len(nums)-1, 0, -1): q *= nums[i] res[i-1] *= q return res

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wulicheneason@gmail.com

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/main.py

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SupersonicCoder18/THE-MOVIE-API-

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from flask import Flask, jsonify, request import csv from storage import all_movies, liked_movies, not_liked_movies, did_not_watch from Demographic_Filtering import output from Content_Filtering import get_recommendations app = Flask(__name__) @app.route("/get-movie") def get_movie(): movie_data = { "title": all_movies[0][19], "poster_link": all_movies[0][27], "release_date": all_movies[0][13] or "N/A", "duration": all_movies[0][15], "rating": all_movies[0][20], "overview": all_movies[0][9], } return jsonify({ "data": movie_data, "status": "Success!" }) @app.route("/liked-movie", methods = ["POST"]) def liked_movie(): movie = all_movies[0] all_movies = all_movies[1:] liked_movie.append(movie) return jsonify({ "status": "Success" }), 201 @app.route("/unliked-movie", methods = ["POST"]) def unliked_movie(): movie = all_movies[0] all_movies = all_movies[1:] not_liked_movie.append(movie) return jsonify({ "status": "Success" }), 201 @app.route("/did-not-watch-movie", methods = ["POST"]) def did_not_watched_movie(): movie = all_movies[0] all_movies = all_movies[1:] did_not_watch.append(movie) return jsonify({ "status": "Success" }), 201 @app.route("/popular-movies") def popular_movies(): movie_data = [] for movie in output: _d = { "title": movie[0], "poster_link": movie[1], "release_date": movie[2] or "N/A", "duration": movie[3], "rating": movie[4], "overview": movie[5] } movie_data.append(_d) return jsonify({ "data": movie_data, "status": "success" }), 200 @app.route("/recommended-movies") def recommended_movies(): all_recommended = [] for liked_movie in liked_movies: output = get_recommendations(liked_movie[19]) for data in output: all_recommended.append(data) import itertools all_recommended.sort() all_recommended = list(all_recommended for all_recommended,_ in itertools.groupby(all_recommended)) movie_data = [] for recommended in all_recommended: _d = { "title": recommended[0], "poster_link": recommended[1], "release_date": recommended[2] or "N/A", "duration": recommended[3], "rating": recommended[4], "overview": recommended[5] } movie_data.append(_d) return jsonify({ "data": movie_data, "status": "success" }), 200 if __name__ == "__main__": app.run()

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noreply@github.com

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/backend/provider/sendgridservice.py

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2020-03-18T05:14:14.684146

2018-05-30T12:29:55

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import os import logging import sendgrid from set_up import sg_client from sendgrid.helpers.mail import * from backend.provider.provider_exceptions import * logging.basicConfig(level=logging.DEBUG) logger = logging.getLogger(__name__) class SendgridMail(object): SENDGRID_ERROR = { 400: "BAD REQUEST", 401: "UNAUTHORIZED: You do not have authorization to make the request.", 403: "FORBIDDEN", 404: "NOT FOUND : The resource you tried to locate could not be found or does not exist.", 405: "METHOD NOT ALLOWED", 413: "PAYLOAD TOO LARGE: The JSON payload you have included in your request is too large.", 415: "UNSUPPORTED MEDIA TYPE", 429: "TOO MANY REQUESTS: The number of requests you have made exceeds SendGrid’s rate limitations", 500: "SERVER UNAVAILABLE: An error occurred on a SendGrid server.", 503: "SERVICE NOT AVAILABLE: The SendGrid v3 Web API is not available." } def __init__(self): self.client = sg_client def send_mail(self, **kwargs): from_email = Email(kwargs['sender']) to_email = Email(kwargs['recipient']) subject = kwargs['subject'] content = Content("text/plain", kwargs['body']) mail = Mail(from_email, subject, to_email, content) logger.info('Attempt to send an email with sendgrid') try: response = self.client.client.mail.send.post(request_body=mail.get()) except Exception as e: if e.status_code in (400, 403, 404, 405, 413, 415, 429): message = "SendGrid Client Error {}: {}".format(e.status_code, self.SENDGRID_ERROR[e.status_code]) logger.exception(message) raise ClientError(message) elif e.status_code in (401, 500, 503): message = "SendGrid Server Error {}: {}".format(e.status_code, self.SENDGRID_ERROR[e.status_code]) logger.exception(message) raise ProviderServerError(message) if __name__ == "__main__": SendgridMail().send_mail( sender="test@test.com", recipient="test@test.com", subject="test", body="This is a test email." )

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qianyunguo@gmail.com

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/httpy/tags/0.7/tests/TestCaseHttpy.py

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chadwhitacre/public

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"""The idea and code for running a test._server in another thread are from the standard library's test/test_socke._server.py. TODO: This is out of date now that we are using asyncore (via httpy._zope._server). """ import asyncore import os import select import socket import threading import time import unittest from httpy._zope.server.taskthreads import ThreadedTaskDispatcher from httpy._zope.server.tests.asyncerror import AsyncoreErrorHook from httpy.Config import Config from httpy.Request import Request, ZopeRequest from httpy.Server import Server td = ThreadedTaskDispatcher() opts = [ '--mode', 'development' , '--sockfam', 'AF_INET' , '--root', 'root' , '--address', ':65370' , '--verbosity', '99' #, '--apps', '/' discover automatically ] class TestCaseHttpy(unittest.TestCase, AsyncoreErrorHook): # unittest.TestCase hooks # ======================= want_config = False def setUp(self): self.scrubenv() # [re]build a temporary website tree in ./root self.removeTestSite() self.buildTestSite() if self.server: self.startServer() if self.want_config: self.config = Config() def tearDown(self): if self.server: self.stopServer() self.removeTestSite() self.restoreenv() # server support # ============== server = False # Override to True if your subclass needs a server def startServer(self): if len(asyncore.socket_map) != 1: # Let sockets die off. # TODO tests should be more careful to clear the socket map. asyncore.poll(0.1) self.orig_map_size = len(asyncore.socket_map) #self.hook_asyncore_error() config = Config(opts) self._server = Server(config, threads=4) self._server.accept_connections() self.port = self._server.socket.getsockname()[1] self.run_loop = 1 self.counter = 0 self.thread_started = threading.Event() self.thread = threading.Thread(target=self.loop) self.thread.setDaemon(True) self.thread.start() self.thread_started.wait(10.0) self.assert_(self.thread_started.isSet()) def stopServer(self): self.run_loop = 0 self.thread.join() td.shutdown() self._server.close() # Make sure all sockets get closed by asyncore normally. timeout = time.time() + 5 while 1: if len(asyncore.socket_map) == self.orig_map_size: # Clean! break if time.time() >= timeout: self.fail('Leaked a socket: %s' % `asyncore.socket_map`) asyncore.poll(0.1) #self.unhook_asyncore_error() def loop(self): self.thread_started.set() while self.run_loop: self.counter = self.counter + 1 asyncore.poll(0.1) # environment # =========== def scrubenv(self): save = {} for opt in Config.options: envvar = 'HTTPY_%s' % opt.upper() if os.environ.has_key(envvar): save[envvar] = os.environ[envvar] del os.environ[envvar] self.env = save def restoreenv(self): for k, v in self.env.items(): os.environ[k] = v self.env = {} # test site # ========= # testsite is a list of strings and tuples. If a string, it is interpreted # as a path to a directory that should be created. If a tuple, the first # element is a path to a file, the second is the contents of the file. # We do it this way to ease cross-platform testing. # # siteroot is the filesystem path under which to create the test site. siteroot = 'root' testsite = [] def buildTestSite(self): """Build the site described in self.testsite """ os.mkdir(self.siteroot) for item in self.testsite: if isinstance(item, basestring): path = self.convert_path(item.lstrip('/')) path = os.sep.join([self.siteroot, path]) os.mkdir(path) elif isinstance(item, tuple): filepath, contents = item path = self.convert_path(filepath.lstrip('/')) path = os.sep.join([self.siteroot, path]) file(path, 'w').write(contents) def removeTestSite(self): if os.path.isfile('httpy.conf'): os.remove('httpy.conf') if not os.path.isdir(self.siteroot): return for root, dirs, files in os.walk(self.siteroot, topdown=False): for name in dirs: os.rmdir(os.path.join(root, name)) for name in files: os.remove(os.path.join(root, name)) os.rmdir(self.siteroot) def convert_path(self, path): """Given a Unix path, convert it for the current platform. """ return os.sep.join(path.split('/')) def convert_paths(self, paths): """Given a tuple of Unix paths, convert them for the current platform. """ return tuple([self.convert_path(p) for p in paths]) # utils # ===== @staticmethod def neuter_traceback(tb): """Given a traceback, return just the system-independent lines. """ tb_list = tb.split(os.linesep) if not tb_list[-1]: tb_list = tb_list[:-1] neutered = [] for i in range(0,len(tb_list),2): neutered.append(tb_list[i]) neutered.append(tb_list[-1]) return os.linesep.join(neutered) @staticmethod def dict2tuple(d): return tuple(sorted(d.iteritems())) @staticmethod def make_request(uri, headers=None, Zope=False): if headers is None: headers = {} request = ZopeRequest() request.received("GET %s HTTP/1.1\r\n" % uri) for header in headers.items(): request.received("%s: %s\r\n" % header) request.received('\r\n') if Zope: return request else: return Request(request)

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chad@zetaweb.com

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/Spiders/youku/parsers/parse_detail_list_page.py

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wangtaihong/mov

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refs/heads/master

2020-03-19T20:02:52.626127

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# coding:utf-8 import re import sys reload(sys) sys.setdefaultencoding('utf8') from lxml import etree def url_format(url): """ //v.youku.com/v_show/id_XMzA5NTA1ODg2MA==.html?s=bc2a0ca1a64b11e6b9bb http://v.youku.com/v_show/id_XMzA5NTA1ODg2MA==.html """ url = re.sub('http:', '', url) return "http:" + re.sub('(\.html.*)', '.html', url) def parse_detail(r, url): try: page = etree.HTML(r) except Exception as e: return False sss = re.sub(u'\\n', '', r) data = dict() stars = [] # title_show = re.search(u'class="p-thumb"><a title="([^"]+?)" href="([^"]+?)" target=',sss) # v-show: v-show可能没有的 # v_show = re.search(u'class="p-thumb"><a title="([^" href]+?)" href="([^" ]+?)" target=',sss) v_show = page.xpath( u'//div[@class="p-post"]/div[@class="yk-pack p-list"]/div[@class="p-thumb"]/a') if len(v_show) > 0: data['v_show'] = url_format(v_show[0].get("href")) # 海报: # thumb = re.search(u'^(?=.*(http\://\w+\d+\.\w+\.com/(\w*\d*)+)").*$',sss).group(1) thumb = page.xpath( u'//div[@class="p-post"]/div[@class="yk-pack p-list"]/div[@class="p-thumb"]/img') if len(thumb) > 0: data['thumb'] = [{"url": url_format(thumb[0].get( "src")), "title":thumb[0].get("alt"), "width":200, "height":300}] data['title'] = thumb[0].get("alt") # category: # category = page.xpath('//div[@class="p-base"]/ul/li[@class="p-row p-title"]')[0].find('a') category = page.xpath( '//div[@class="p-base"]/ul/li[@class="p-row p-title"]/a') if len(category) > 0: data['category'] = category[0].text # category_url = category.get('href') # 年份:可能没有 year = page.xpath( '//div[@class="p-base"]/ul/li[@class="p-row p-title"]/span[@class="sub-title"]') if len(year) > 0: data['year'] = year[0].text # 别名:可能没有 alias = page.xpath('//div[@class="p-base"]/ul/li[@class="p-alias"]') if len(alias) > 0: data['alias'] = alias[0].get("title") # 上映:可能没有 published_at = re.search(u'>上映：</label>(\w+-\d+-\d+)*</span>', sss) if published_at != None: data['published_at'] = published_at.group(1) # 优酷上映：可能没有 yk_published_at = re.search(u'>优酷上映：</label>(\w+-\d+-\d+)*</span>', sss) if yk_published_at != None: data['yk_published_at'] = yk_published_at.group(1) # 优酷评分：可能没有 youku_score = page.xpath( '//div[@class="p-base"]/ul/li[@class="p-score"]/span[@class="star-num"]') if len(youku_score) > 0: data['youku_score'] = youku_score[0].text # 豆瓣评分:可能没有 douban_score = re.search(u'<span class="db-bignum">(\d+\.\d*)</span>', sss) if douban_score != None: data['douban_score'] = douban_score.group(1) # 豆瓣评价数量，可能没有 douban_cm_num = re.search(u'<span class="db-cm-num">(\d*)评价</span>', sss) if douban_cm_num != None: data['douban_cm_num'] = douban_cm_num.group(1) # 主演:可能没有 actors = page.xpath('//div[@class="p-base"]/ul/li[@class="p-performer"]') if len(actors) > 0: data['actors'] = actors[0].get('title') data['actor_list'] = [] for x in page.xpath('//div[@class="p-base"]/ul/li[@class="p-performer"]/a'): print(x) data['actor_list'].append({"name":x.text,"youkuid":re.search(u"//list\.youku\.com/star/show/(.*)\.html",etree.tostring(x)).group(1)}) # 集数 renew = page.xpath( '//div[@class="p-base"]/ul/li[@class="p-row p-renew"]') if len(renew) > 0: data['renew'] = renew[0].text # 主演连接:可能没有 actors_a = page.xpath( '//div[@class="p-base"]/ul/li[@class="p-performer"]/a') if len(actors_a) > 1: for x in actors_a: # actor_url = url_format(x.get('href')) actor_name = x.text stars.append(url_format(x.get('href'))) # rd.sadd(config.yk_star_task, url_format(x.get('href'))) # 明星采集队列,redis set特性去重 # //list.youku.com/star/show/uid_UODY0MjQ=.html # 导演:循环出来 # directed = page.xpath('//div[@class="p-base"]/ul/li[@class="p-performer"]')[0].getnext().findall('a') directed = page.xpath( u'//div[@class="p-base"]/ul/li[contains(text(),"导演：")]/a') data['director_list'] = [] if len(directed) > 0: data['directors'] = '' for x in directed: # star_url = url_format(x.get("href")) data['directors'] = data['directors'] + '|' + x.text stars.append(url_format(x.get('href'))) data['director_list'].append({"name":x.text,"youkuid":re.search(u"//list\.youku\.com/star/show/(.*)\.html",etree.tostring(x)).group(1)}) # rd.sadd(config.yk_star_task, url_format(x.get("href"))) # 明星采集队列,redis set特性去重 # 地区，可能没有 area = re.search( u'>地区：<a href="//list\.youku\.com/category/show/([^\.html]+?)\.html" target="_blank">([^</a></li>]+?)</a>', sss) if area != None: data['area'] = area.group(2) # 类型:循环出来 types = page.xpath( u'//div[@class="p-base"]/ul/li[contains(text(),"类型")]/a') if len(types) > 0: data['types'] = '' for x in types: data['types'] = data['types'] + ',' + x.text # 总播放数:可能为none plays_num = re.search(u'<li>总播放数：([^</li>]+?)</li>', sss) if plays_num != None: data['plays_num'] = plays_num.group(1) # 评论数量:可能为none youku_comments_num = re.search(u'<li>评论：([^</li>]+?)</li>', sss) if youku_comments_num: data['youku_comments_num'] = youku_comments_num.group(1) # 顶:可以空 ding = re.search(u'<li>顶：([^</li>]+?)</li>', sss) if ding: data['ding'] = ding.group(1) # 简介: try: page.xpath( u'//div[@class="p-base"]/ul/li[@class="p-row p-intro"]/span[@class="intro-more hide"]')[0] except Exception as e: print("parse_detail_list_page:", url, str(e), r) #update_session(proxy) return False # sys.exit("die") summary = page.xpath( u'//div[@class="p-base"]/ul/li[@class="p-row p-intro"]/span[@class="intro-more hide"]')[0] if summary != None: data['summary'] = summary.text # 适合年龄，可能为空 age = re.search(u'>适用年龄：([^</li>]+?)</li>', sss) if age: data['age'] = age.group(1) peiyin = page.xpath( u'//div[@class="p-base"]/ul/li[contains(text(),"声优：")]/a') if len(peiyin) > 0: data['peiyin'] = '' data['peiyin_list'] = [] for x in peiyin: data['peiyin'] = data['peiyin'] + '|' + x.text stars.append(url_format(x.get('href'))) # data['peiyin_list'].append({"name":x.text,"youkuid":re.search(u"show/(.*)\.html",etree.tostring(x)).group(1)}) data['peiyin_list'].append({"name":x.text,"youkuid":re.search(u"//list\.youku\.com/star/show/(.*)\.html",etree.tostring(x)).group(1)}) # 综艺节目有 presenters = page.xpath( u'//div[@class="p-base"]/ul/li[contains(text(),"主持人：")]/a') if len(presenters) > 0: data['presenters'] = "" for x in presenters: data['presenters'] = data['presenters'] + '|' + x.text stars.append(url_format(x.get('href'))) # rd.sadd(config.yk_star_task, url_format(x.get("href"))) # 明星采集队列,redis set特性去重 return {"data": data, "stars": stars}

[ "wangtaihong8@163.com" ]

wangtaihong8@163.com

b549437484d60e16f3abc854f97caa01baff0c64

cfdaf1675a6a6a3c21c163ea48556a82d1f761f7

/Actividades/AF04/ventana_principal.py

591a0cbb2d104c65690f5adbec995595b09c185e

[]

no_license

catalinamusalem/Catalina

8114568486f2e6e8b73def164274064de6790bbb

e508ccb622e03e543c1a7da6b2c1d4636325b92b

refs/heads/master

2022-11-28T14:42:55.037042

2020-07-05T22:06:01

286,140,628

0

null

UTF-8

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false

5,460

py

import os import sys from random import choice from PyQt5.QtWidgets import QLabel, QWidget, QLineEdit, \ QHBoxLayout, QVBoxLayout, QPushButton from PyQt5.QtCore import Qt, pyqtSignal from PyQt5.QtGui import QPixmap from PyQt5.QtWidgets import QApplication class VentanaPrincipal(QWidget): # Aquí debes crear una señal que usaras para enviar la jugada al back-end senal_enviar_jugada = pyqtSignal(dict) def __init__(self, *args): super().__init__(*args) self.crear_pantalla() def crear_pantalla(self): # Aquí deben crear la ventana vacia. self.setWindowTitle("DCCuent") # Es decir, agregar y crear labels respectivos a datos del juego, pero sin contenido nombre = "" vict = "" derrot = "" self.rutai="" self.rutar="" self.rutaa="" self.pixeles_i= "" self.pixeles_r= "" self.pixeles_a= "" self.nombre_usuario= QLabel(nombre,self) self.victorias =QLabel(vict,self) self.derrotas = QLabel(derrot,self) self.infanteria = QLabel("Q", self) self.rango=QLabel("W",self) self.artilleria=QLabel("E",self) self.logo_i = QLabel(self) self.logo_r = QLabel(self) self.logo_a = QLabel(self) pix_i=QPixmap(self.rutai) pix_r=QPixmap(self.rutar) pix_a=QPixmap(self.rutaa) self.logo_i.setPixmap(pix_i) self.logo_r.setPixmap(pix_r) self.logo_a.setPixmap(pix_a) vlayout1 = QVBoxLayout() vlayout1.addWidget(self.nombre_usuario) vlayout1.addWidget(self.infanteria) vlayout1.addWidget(self.logo_i) vlayout2 = QVBoxLayout() vlayout2.addWidget(self.victorias) vlayout2.addWidget(self.rango) vlayout2.addWidget(self.logo_r) vlayout3 = QVBoxLayout() vlayout3.addWidget(self.derrotas) vlayout3.addWidget(self.artilleria) vlayout3.addWidget(self.logo_a) mainlayout = QHBoxLayout() mainlayout.addLayout(vlayout1) mainlayout.addLayout(vlayout2) mainlayout.addLayout(vlayout3) self.setLayout(mainlayout) # Si usas layout recuerda agregar los labels al layout y finalmente setear el layout def actualizar(self, datos): # Esta es la funcion que se encarga de actualizar el contenido de la ventana y abrirla # Recibe las nuevas cartas y la puntuación actual en un diccionario nombre = datos["usuario"] vict = datos["victorias"] derrot = datos["derrotas"] self.pixeles_i= datos["infanteria"] self.pixeles_r= datos["rango"] self.pixeles_a= datos["artilleria"] self.rutai=datos["infanteria"]["ruta"] self.rutar=datos["rango"]["ruta"] self.rutaa=datos["artilleria"]["ruta"] # Al final, se muestra la ventana. self.show() def keyPressEvent(self, evento): # Aquí debes capturar la techa apretara, # y enviar la carta que es elegida if evento.text() == "q": data= self.pixeles_i self.senal_enviar_jugada.emit(data) if evento.text() == "w": data= self.pixeles_r self.senal_enviar_jugada.emit(data) if evento.text() == "e": data= self.pixeles_a self.senal_enviar_jugada.emit(data) class VentanaCombate(QWidget): # Esta señal es para volver a la VentanaPrincipal con los datos actualizados senal_regresar = pyqtSignal(dict) # Esta señal envia a la ventana final con el resultado del juego senal_abrir_ventana_final = pyqtSignal(str) def __init__(self, *args): super().__init__(*args) self.crear_pantalla() def crear_pantalla(self): self.setWindowTitle("DCCuent") self.vbox = QVBoxLayout() self.layout_principal = QHBoxLayout() self.label_carta_usuario = QLabel() self.label_victoria = QLabel() self.label_carta_enemiga = QLabel() self.boton_regresar = QPushButton("Regresar") self.layout_principal.addWidget(self.label_carta_usuario) self.layout_principal.addWidget(self.label_victoria) self.layout_principal.addWidget(self.label_carta_enemiga) self.boton_regresar.clicked.connect(self.regresar) self.vbox.addLayout(self.layout_principal) self.vbox.addWidget(self.boton_regresar) self.setLayout(self.vbox) def mostrar_resultado_ronda(self, datos): self.datos = datos mensaje = datos["mensaje"] carta_enemiga = datos["enemigo"] carta_jugador = datos["jugador"] self.label_carta_usuario.setPixmap(QPixmap(carta_jugador["ruta"]).scaled(238,452)) self.label_carta_enemiga.setPixmap(QPixmap(carta_enemiga["ruta"]).scaled(238,452)) self.label_victoria.setText(mensaje) self.show() def regresar(self): resultado = self.datos["resultado"] if resultado == "victoria" or resultado == "derrota": self.senal_abrir_ventana_final.emit(resultado) else: self.senal_regresar.emit(self.datos) self.hide() if __name__ == "__main__": def hook(type, value, traceback): print(type) print(traceback) sys.__excepthook__ = hook a = QApplication(sys.argv) ventana_principal = VentanaPrincipal() ventana_principal.show() sys.exit(a.exec())

[ "catalina.musalem@uc.cl" ]

catalina.musalem@uc.cl

ae3c07417196b04210dbed26d9b1fba5aac5f9ec

07ec5a0b3ba5e70a9e0fb65172ea6b13ef4115b8

/lib/python3.6/site-packages/numpy/core/tests/test_regression.py

39a92211635a6dcc5cd242241cf5f18f0e08b70e

[]

no_license

cronos91/ML-exercise

39c5cd7f94bb90c57450f9a85d40c2f014900ea4

3b7afeeb6a7c87384049a9b87cac1fe4c294e415

refs/heads/master

2021-05-09T22:02:55.131977

2017-12-14T13:50:44

118,736,043

0

null

2018-01-24T08:30:23

2018-01-24T08:30:22

null

UTF-8

Python

false

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py

version https://git-lfs.github.com/spec/v1 oid sha256:2d5a65e7c1da1e87651cabd3481c0012ad15f784275aad1259a1312faf19cfc2 size 81211

[ "seokinj@jangseog-in-ui-MacBook-Pro.local" ]

seokinj@jangseog-in-ui-MacBook-Pro.local

b1363d2eeea65f67da9c4da23778667e39565849

ee4152e9b5eafa7afafe05de04391a9a3606eea3

/client/API/AddRecord.py

431bc9058aefc1020df12034d650ed008e3998a5

[]

no_license

adibl/password_saver

3a06c8c04905d82f01fc14b41b646a6578af2b70

2ea73781db92ce750f91039251f2c06e929da7bb

refs/heads/master

2020-04-09T23:51:34.804870

2019-06-16T10:13:42

160,665,348

0

null

UTF-8

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false

1,675

py

""" name: date: description """ import base64 import json import requests import os from .connection import Request class Passwords(object): FILE_NAME = 'token.txt' @classmethod def handle(cls, url, username, password): return cls.POST(url, username, password) @classmethod def GET(cls): auto = cls.read_jwt() if auto is None: return {'general': 401} responce = conn = Request().get_conn().get(Request.URI + '/passwords', headers={'Authorization': 'Bearer {0}'.format(auto)}) if responce.status_code == 200: return json.loads(responce.text) else: return {'general': responce.status_code} @classmethod def POST(cls, url, username, password): auto = cls.read_jwt() if auto is None: return {'general': 401} print base64.urlsafe_b64encode(url) encode_url = base64.urlsafe_b64encode(url) responce = conn = Request().get_conn().post(Request.URI + '/passwords', headers={'Authorization': 'Bearer {0}'.format(auto)} , json={'username': username, 'password': password, 'program_id': encode_url}) if responce.status_code == 200: return True elif responce.status_code == 442: return json.loads(responce.text) else: return {'general': 'general error'} @classmethod def read_jwt(cls): if os.path.isfile(cls.FILE_NAME): with open(cls.FILE_NAME, 'rb')as handel: jwt = handel.read() return jwt else: return None

[ "bleyer23@gmail.com" ]

bleyer23@gmail.com

1b498a36f1e5cddb3c338c90afdb44c34630961f

794543da14ede49acde50acfac76681e87f31673

/src/training_scripts/sprp_onmt_copy_512/validate.py

58e8a364d3f0da808802f433ecd18845a2bb7706

[]

no_license

roeeaharoni/sprp-acl2018

0f404dd27e5ea09f427df920e3d47b0d45d6c5d7

2d215999cd72cc0f59d7a6733e1b1f1d7ea54777

refs/heads/master

2020-03-07T23:33:59.874847

2019-02-15T10:06:01

127,784,457

16

5

null

UTF-8

Python

false

1,835

py

from src import evaluate import os def main(): model_name = 'sprp_onmt_copy_512' base_path = '/home/nlp/aharonr6' moses_path = base_path + '/git/mosesdecoder' test_dirs_path_prefix = base_path + '/git/Split-and-Rephrase/evaluation-directories/validation/' # the file containing the ids of the test sentences test_sent_ids_path = base_path + '/git/Split-and-Rephrase/benchmark/complex-sents/validation.id' # a directory that will hold single sentence files for the hypotheses test_hypothesis_sents_dir = base_path + '/git/phrasing/models/{}/validation_complex_output_sents/'.format(model_name) if not os.path.exists(test_hypothesis_sents_dir): os.mkdir(test_hypothesis_sents_dir) test_target = base_path + '/git/phrasing/models/{}/validation.complex.unique.output'.format(model_name) print 'starting multi-ref evaluation...' avg_bleu, avg_tokens_per_sent, avg_simple_sents_per_complex = evaluate.evaluate_avg_concat_bleu(moses_path, test_sent_ids_path, test_hypothesis_sents_dir, test_target, test_dirs_path_prefix, splitter='. ') print 'avg BLEU:{} avg tokens/sent: {} avg split: {}'.format(avg_bleu, avg_tokens_per_sent, avg_simple_sents_per_complex) return if __name__ == '__main__': main()

[ "roee.aharoni@gmail.com" ]

roee.aharoni@gmail.com

bce22db2adda5234a705ff0d1fb719565b3bddd8

9692a20a1e7a224a72785e4495f31421639b9f3b

/frex/pipeline_stages/filters/candidate_filterer.py

2d79e3b31e1ec3776b5978e1f52488af2826dfdb

[]

no_license

solashirai/FREx

6b0cb040930761a0e269f4591d7dde36e3f636d1

36ad09a0cb0020661ee990c7800bafd110e2ec04

refs/heads/master

2023-08-14T08:49:49.270281

2021-09-29T14:58:23

291,760,109

0

null

2021-09-24T22:41:19

2020-08-31T15:57:47

Python

UTF-8

Python

false

2,535

py

from abc import abstractmethod from typing import Generator, Optional, Any from frex.models import Explanation, Candidate from frex.pipeline_stages import PipelineStage class CandidateFilterer(PipelineStage): """ CandidateFilterer is a PipelineStage that determines whether input candidates should be removed from consideration or continue on through the FREx Pipeline. A new CandidateFilterer class can be minimally defined by creating a new subclass of CandidateFilterer and defining the filter() function. """ def __init__( self, *, filter_explanation: Explanation, filter_score: float = 0, **kwargs ): """ :param filter_explanation: The explanation to add to the Candidate if it passes the filter function. :param filter_score: The score to apply to the candidate if it passes the filter. This is 0 by default. """ self.filter_explanation = filter_explanation self.filter_score = filter_score @abstractmethod def filter(self, *, candidate: Candidate) -> bool: """ A filter to determine whether or not the current candidate is suitable to move on through the Pipeline. This function should return True when the candidate should be removed and False when it should continue on. :param candidate: A domain-specific candidate to filter :return: True if the candidate should be removed, False if it should be kept and passed on to later stages. """ pass def __call__( self, *, candidates: Generator[Candidate, None, None], context: Any ) -> Generator[Candidate, None, None]: """ For each of candidate being yielded by the Generator, apply a filtering function to decide whether or not to yield the candidate forward to the next PipelineStage. :param candidates: A Generator yielding candidates. In the setup of a FREx Pipeline, this is typically another PipelineStage that is yielding candidates into the next stage. :param context: The current context being used to execute the Pipeline. :return: A Generator, yielding updated Candidate objects that have not been caught by this stage's filtering function. """ for candidate in candidates: if not self.filter(candidate=candidate): candidate.applied_explanations.append(self.filter_explanation) candidate.applied_scores.append(self.filter_score) yield candidate

[ "solashakashirai@gmail.com" ]

solashakashirai@gmail.com

3c0d2f6529512fe74b919bbd685a3ca9f69943c6

00c56919bc5919b2f728b3d631ad4b2d2fdb14fa

/missingvalues/Student/missingvalues_student.py

29efce54c92d59c33e70bcedcbc0eb810628f351

[]

no_license

Tcintra/Missing-Values-and-Feature-Engineering

b108299176826a1124af52bd0102edcc11ed362b

f0b751253ce921b3e22d9310413a204517dfa212

refs/heads/master

2020-06-12T15:15:36.480988

2019-07-11T23:28:36

null

0

null

UTF-8

Python

false

743

py

""" Author : Thomas Cintra and Yun Zhang Class : CS 181R Date : 2019 June 20 Description : Credit Score analysis Name : Homework 3 """ # seaborn module import seaborn as sns # python modules import os # numpy module import numpy as np # pandas module import pandas as pd # matplotlib module import matplotlib.pyplot as plt from matplotlib import colors as mcolors # import scikit learn module from sklearn.impute import SimpleImputer from sklearn.model_selection import train_test_split from sklearn import metrics from sklearn.tree import DecisionTreeClassifier from sklearn.dummy import DummyClassifier from sklearn.preprocessing import LabelEncoder path = os.path.join("..", "Data") def main(): print()

[ "noreply@github.com" ]

noreply@github.com

861bd0f912326d66adf883ca271ce7af6319eb44

21906e3edd0cebc04a43f198fce4946c4cf3cf4f

/main_opencv.py

842ea1a4595658042f44649009e93cde77649e9a

[]

no_license

chincherpa/slit_scan_image

f675a070b56b9f7b5f26d2d6fb53d11e827f721a

f5868d43296467f72ea33754a33f21640d75b1bf

refs/heads/master

2020-06-29T21:57:47.557903

2019-08-05T10:56:15

200,635,139

0

null

UTF-8

Python

false

900

py

import os import sys import numpy as np import cv2 this_path = os.path.dirname(os.path.realpath(__file__)) filename = 'big_buck_bunny_720p_5mb.mp4' path_to_file = os.path.join(this_path, filename) output_filename = os.path.splitext(os.path.basename(path_to_file))[0] + '.png' clip = cv2.VideoCapture(path_to_file) first_frame = clip.read() height, width, dpth = first_frame[1].shape slitwidth = 1 slitpoint = width // 2 # np.zeros is how we generate an empty ndarray img = np.zeros((height, 1, dpth), dtype='uint8') while True: frame = clip.read() if frame[0] is False: break frame = np.array(frame[1]) slit = frame[:,slitpoint:slitpoint+slitwidth,:] img = np.hstack((img, slit)) cv2.imshow("Frames", img) key = cv2.waitKey(1) & 0xFF if key == ord("q"): break output = cv2.imwrite(os.path.join(this_path, output_filename), img) clip.release()

[ "accounts@mail.de" ]

accounts@mail.de

30dfff8bcb7876a52d6a99c2cd8349866f1eb587

9da79476a3002a4af98cc76effdabdbec9613adf

/Extended_Methods/Heuristic_2/GLOBAL_VAR.py

3bb5558e36235af3c35eb3a14bab112ea60dec5a

[ "CC-BY-4.0" ]

permissive

heyuan7676/ts_eQTLs

1cb0517dbe1faac616fef6e5ebc87ffb6d47899a

62b04f5477183f5c0cb60f21264b3147fd8bd82a

refs/heads/master

2021-07-15T13:23:20.491904

2020-10-09T16:03:53

211,209,498

20

2

null

UTF-8

Python

false

3,354

py

import os import sys import numpy as np import pandas as pd import pdb r2 = '1' FDR = 0.05 fmDir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/FL/coph' ll_dir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/LL' prefix = 'v8_cbset_95_allPairs_filteredGenes.ciseQTL_results.complete_filteredSNPs.LDblocks_%s' % str(r2) LDprefix = '_LD1' #FMfn = 'SparseMF_coph_%s_topPair_K30_a11_l110' % prefix.replace(r2, '0.2') #FMfn = 'SparseMF_coph_%s_topPair_K25_a125_l15000' % prefix #LMfn= '%s%s_Loadings_beta_BH_corrected_alpha%s' % (FMfn, LDprefix, str(FDR)) #LMfn = '%s%s_Loadings_projection' % (FMfn, LDprefix) FMfn = 'Thresholding_Refined' if 1: FOLDS = 100 PROP = 0.5 PVALUE = 0.001 N1 = 5 LMfn = 'ts_closeToTop_FOLDS%d_PROP%s_PVALUE%s_N1%d' % (FOLDS, str(PROP), str(PVALUE), N1) bg_cluster_id = 0 inputdatadir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/datasets/cbset_datasets/input_pairs' inputdir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/datasets/cbset_datasets/input_pairs_fitModel' inputdatafn = 'v8_cbset_95_allPairs_filteredGenes.ciseQTL_results.complete.tss_distance.txt' pairdir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/downstream/pairSets' #pairdir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/downstream/pairSets_0907' allSNPfeaturedir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/datasets/annotations/allPairs' SNPfeaturedir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/datasets/annotations/cbset_pairs' datasetName = 'v8_cbset_95_allPairs_filteredGenes.ciseQTL_results.complete.SNP_loc' activeSNPdir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/downstream/SNP/SNPset_active' sigSNPfeaturedir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/downstream/SNP/SNPset_features' activeSNPfeaturedir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/downstream/SNP/SNPset_active_features' active_proportion = 0.0 gsea_dir = '/work-zfs/abattle4/heyuan/tissue_spec_eQTL_v8/downstream/enrichmentTest/GSEA/' gsea_file_used = 'c5.bp.v6.2.symbols.gmt.txt' def get_tis_groups(): tissue_groups = [[x for x in tissues if 'Adipose' in x], ['Adrenal_Gland'], [x for x in tissues if 'Artery' in x], [x for x in tissues if 'Brain' in x], ['Cells_EBV-transformed_lymphocytes'], ['Cells_Cultured_fibroblasts'], [x for x in tissues if 'Colon' in x], [x for x in tissues if 'Esophagus' in x], [x for x in tissues if 'Heart' in x], ['Kidney_Cortex'], ['Liver'], ['Lung'], ['Minor_Salivary_Gland'], ['Muscle_Skeletal'], ['Nerve_Tibial'], ['Ovary'], ['Pancreas'], ['Pituitary'], ['Prostate'], [x for x in tissues if 'Skin' in x], ['Small_Intestine_Terminal_Ileum'], ['Spleen'], ['Stomach'], ['Testis'], ['Thyroid'], ['Uterus'], ['Vagina'], ['Whole_Blood']] return tissue_groups tissues = pd.read_csv('tissues.txt', sep='\t', header=None) tissues = np.array(tissues[0]) Comp_tissues = get_tis_groups()

[ "yuanhe777tt@hotmail.com" ]

yuanhe777tt@hotmail.com

3931ee5baf8bc1af8cebd1dfcacdfcb03668a43e

6cf909646199c6aa4e7a32a2f804c750013b4d2d

/property crriter.py

7343516c2d36acb6d67f5eb1d26bb246d3fe478a

[]

no_license

LJ0401/pizzapy

3613dbba44e243fcb52672ee15389d07e4f7a7f5

21f76af524a822a841a7ab7ee385263ce4ad49b0

refs/heads/master

2021-01-22T21:37:22.828565

2017-04-13T14:21:28

85,444,138

0

null

UTF-8

Python

false

765

py

#Property Critter #演示属性 class Critter(object): """A virtual pet""" def _init_(self, name): print("A new critter has been born!") self._name = name @property def name(self): return self._name #访问属性 def talk(self): print("\nHi, I'm", self.name) #程序主体 crit = Critter("Poochie") crit.talk() #为小动物改个名字 print("\nAttempting to change my critter's name to Randoph...") crit.name = "Randoph" print("My critter's name is:", end=" ") print(crit.name) #将名字改成空格符 print("\nAttempting to change my critter's name to the empty string.") crit.name ="" print("My critter's name is:", end=" ") print(crit.name) input("\n\nPress the enter key to exit.")

[ "1351507858@qq.com" ]

1351507858@qq.com

3da95531c372cce9a2250fcbe7c834b331cfe810

22f4146b560571bfc646b7f0b500a4540f0db936

/Exercises/hand.py

3849da666c9b6fa084d014601ac091b1b7fdd5e7

[]

no_license

xFluke/MITx-6.00.1x

86f3801593ce0dadfd468b039731b70c9e23a660

a973bddeae9312a936f5989bb124728b044f34a6

refs/heads/master

2020-03-28T16:36:08.046350

2018-09-13T23:56:34

148,711,552

0

null

UTF-8

Python

false

3,136

py

import random class Hand(object): def __init__(self, n): ''' Initialize a Hand. n: integer, the size of the hand. ''' assert type(n) == int self.HAND_SIZE = n self.VOWELS = 'aeiou' self.CONSONANTS = 'bcdfghjklmnpqrstvwxyz' # Deal a new hand self.dealNewHand() def dealNewHand(self): ''' Deals a new hand, and sets the hand attribute to the new hand. ''' # Set self.hand to a new, empty dictionary self.hand = {} # Build the hand numVowels = self.HAND_SIZE // 3 for i in range(numVowels): x = self.VOWELS[random.randrange(0,len(self.VOWELS))] self.hand[x] = self.hand.get(x, 0) + 1 for i in range(numVowels, self.HAND_SIZE): x = self.CONSONANTS[random.randrange(0,len(self.CONSONANTS))] self.hand[x] = self.hand.get(x, 0) + 1 def setDummyHand(self, handString): ''' Allows you to set a dummy hand. Useful for testing your implementation. handString: A string of letters you wish to be in the hand. Length of this string must be equal to self.HAND_SIZE. This method converts sets the hand attribute to a dictionary containing the letters of handString. ''' assert len(handString) == self.HAND_SIZE, "Length of handString ({0}) must equal length of HAND_SIZE ({1})".format(len(handString), self.HAND_SIZE) self.hand = {} for char in handString: self.hand[char] = self.hand.get(char, 0) + 1 def calculateLen(self): ''' Calculate the length of the hand. ''' ans = 0 for k in self.hand: ans += self.hand[k] return ans def __str__(self): ''' Display a string representation of the hand. ''' output = '' hand_keys = sorted(self.hand.keys()) for letter in hand_keys: for j in range(self.hand[letter]): output += letter return output def update(self, word): """ Does not assume that self.hand has all the letters in word. Updates the hand: if self.hand does have all the letters to make the word, modifies self.hand by using up the letters in the given word. Returns True if the word was able to be made with the letter in the hand; False otherwise. word: string returns: Boolean (if the word was or was not made) """ copy_Hand = self.hand.copy() for letter in word: if letter in copy_Hand: copy_Hand[letter] = copy_Hand.get(letter) - 1 if copy_Hand[letter] < 0: del copy_Hand[letter] else: return False self.hand = copy_Hand return True myHand = Hand(7) print(myHand) print(myHand.calculateLen()) myHand.setDummyHand('aazzmsp') print(myHand) print(myHand.calculateLen()) myHand.update('za') print(myHand)

[ "noreply@github.com" ]

noreply@github.com

a3048e66ffb33cc2d58ad1fbd2181763d17a7bc4

37e95a54c78b2cad61a8977833c3b69a9d757a5c

/Excepciones4.py

73dba6ebeb5910b26a297d8e9511abc603c9b74b

[]

no_license

solrac205/curso_python

b8ab869440887523a0be56fc9b5ab4f53921ac98

c372dde614918a66e323da0ce16184f7d84c3a1e

refs/heads/master

2023-02-06T01:43:13.612237

2020-12-31T03:25:09

325,693,852

0

null

UTF-8

Python

false

1,989

py

print("******************************************************") print("Curso No. 23 Excepciones" ) print("******************************************************") def divide(): try: op1=(float(input("Ingrese el primer valor a operar: "))) op2=(float(input("Ingrese el segundo valor a operar: "))) print("La división es: " + str(op1/op2)) except ValueError: print("El valor introducido es erróneo") except ZeroDivisionError: print("No se puede dividir entre 0!") print("Cálculo finalizado...") def divide2(): try: op1=(float(input("Ingrese el primer valor a operar: "))) op2=(float(input("Ingrese el segundo valor a operar: "))) print("La división es: " + str(op1/op2)) except ValueError: print("El valor introducido es erróneo") except ZeroDivisionError: print("No se puede dividir entre 0!") #la instruccion finally se ejecuta #siempre aun asi se haya capturado una excepción. finally: print("Cálculo finalizado...") #si un try no tiene la captura de error except y si finally el finally se ejecutara #pero luego el programa cae pues se exterioriza el error detectado anteriormente. def divide3(): try: op1=(float(input("Ingrese el primer valor a operar: "))) op2=(float(input("Ingrese el segundo valor a operar: "))) print("La división es: " + str(op1/op2)) except: print("se registro un error") print("Cálculo finalizado...") def EvaluaEdad(edad): if edad<0: raise ZeroDivisionError("No se permiten edades negativas...") if edad <20: return "Eres muy Joven" elif edad < 40: return "Eres Joven" elif edad < 65: return "Eres maduro" elif edad < 100: return "Cuidate..." import math def CalculaRaiz(num1): if num1 < 0: raise ValueError("Error en valor, este no puede ser negativo") else: return math.sqrt(num1) op1=(int(input("introduce un número: "))) try: print(CalculaRaiz(op1)) except ValueError as ErrorDeNumeroNegativo: print(ErrorDeNumeroNegativo) print("finalizo programa")

[ "carlos_205ram@hotmail.com" ]

carlos_205ram@hotmail.com

e074302c25447ad18fcf0611616ce9b72342db7e

276c023c6c051611724eca97595511d422152f4b

/tests/test_server.py

22863dfb74ece7697161d765f8d914eaec4cdb39

[ "MIT" ]

permissive

perrinjerome/cmake-language-server

2aa1a03ee2a4b1df8acdee953da1fb7b3270c36d

66af586b2aa4da1a21b54e566f81d250acb0a848

refs/heads/master

2020-12-07T08:15:00.568358

2020-01-03T17:17:26

null

0

null

UTF-8

Python

false

4,732

py

from concurrent import futures from pathlib import Path from typing import Optional from pygls.features import (COMPLETION, FORMATTING, HOVER, INITIALIZE, TEXT_DOCUMENT_DID_OPEN) from pygls.server import LanguageServer from pygls.types import (CompletionContext, CompletionParams, CompletionTriggerKind, DidOpenTextDocumentParams, DocumentFormattingParams, FormattingOptions, InitializeParams, Position, TextDocumentIdentifier, TextDocumentItem, TextDocumentPositionParams) CALL_TIMEOUT = 2 def _init(client: LanguageServer, root: Path): retry = 3 while retry > 0: try: client.lsp.send_request( INITIALIZE, InitializeParams( process_id=1234, root_uri=root.as_uri(), capabilities=None)).result(timeout=CALL_TIMEOUT) except futures.TimeoutError: retry -= 1 else: break def _open(client: LanguageServer, path: Path, text: Optional[str] = None): if text is None: with open(path) as fp: text = fp.read() client.lsp.notify( TEXT_DOCUMENT_DID_OPEN, DidOpenTextDocumentParams( TextDocumentItem(path.as_uri(), 'cmake', 1, text))) def test_initialize(client_server, datadir): client, server = client_server assert server._api is None _init(client, datadir) assert server._api is not None def test_completions_invoked(client_server, datadir): client, server = client_server _init(client, datadir) path = datadir / 'CMakeLists.txt' _open(client, path, 'projec') response = client.lsp.send_request( COMPLETION, CompletionParams(TextDocumentIdentifier(path.as_uri()), Position( 0, 6), CompletionContext( CompletionTriggerKind.Invoked))).result(timeout=CALL_TIMEOUT) item = next(filter(lambda x: x.label == 'project', response.items), None) assert item is not None assert '<PROJECT-NAME>' in item.documentation def test_completions_triggercharacter_variable(client_server, datadir): client, server = client_server _init(client, datadir) path = datadir / 'CMakeLists.txt' _open(client, path, '${') response = client.lsp.send_request( COMPLETION, CompletionParams( TextDocumentIdentifier(path.as_uri()), Position(0, 2), CompletionContext(CompletionTriggerKind.TriggerCharacter, '{'))).result(timeout=CALL_TIMEOUT) assert 'PROJECT_VERSION' in [x.label for x in response.items] def test_completions_triggercharacter_module(client_server, datadir): client, server = client_server _init(client, datadir) path = datadir / 'CMakeLists.txt' _open(client, path, 'include(') response = client.lsp.send_request( COMPLETION, CompletionParams( TextDocumentIdentifier(path.as_uri()), Position(0, 8), CompletionContext(CompletionTriggerKind.TriggerCharacter, '('))).result(timeout=CALL_TIMEOUT) assert 'GoogleTest' in [x.label for x in response.items] def test_completions_triggercharacter_package(client_server, datadir): client, server = client_server _init(client, datadir) path = datadir / 'CMakeLists.txt' _open(client, path, 'find_package(') response = client.lsp.send_request( COMPLETION, CompletionParams( TextDocumentIdentifier(path.as_uri()), Position(0, 13), CompletionContext(CompletionTriggerKind.TriggerCharacter, '('))).result(timeout=CALL_TIMEOUT) assert 'Boost' in [x.label for x in response.items] def test_formatting(client_server, datadir): client, server = client_server _init(client, datadir) path = datadir / 'CMakeLists.txt' _open(client, path, 'a ( b c ) ') response = client.lsp.send_request( FORMATTING, DocumentFormattingParams(TextDocumentIdentifier(path.as_uri()), FormattingOptions( 2, True))).result(timeout=CALL_TIMEOUT) assert response[0].newText == 'a(b c)\n' def test_hover(client_server, datadir): client, server = client_server _init(client, datadir) path = datadir / 'CMakeLists.txt' _open(client, path, 'project()') response = client.lsp.send_request( HOVER, TextDocumentPositionParams(TextDocumentIdentifier(path.as_uri()), Position())).result(timeout=CALL_TIMEOUT) assert '<PROJECT-NAME>' in response.contents.value

[ "regen100@users.noreply.github.com" ]

regen100@users.noreply.github.com

e827ef9de12fa0211e6677aa82084594cd16d444

6b76819d395bb76591fc12e9de83161b37d61672

/woot/apps/expt/management/commands/step02_zmod.py

f30ef4f4d650e4b9e4688253eed2cfb7feb067a9

[]

no_license

NicholasPiano/img

8426530512ee80a4ed746874c4219b1de56acbfd

3a91c65c3c9680ba7ed7c94308a721dd0cff9ad5

refs/heads/master

2020-05-18T15:48:50.566974

2015-07-16T00:01:17

38,632,176

0

null

UTF-8

Python

false

1,707

py

# expt.command: step03_zmod # django from django.core.management.base import BaseCommand, CommandError # local from apps.img.models import Composite from apps.expt.util import * # util from optparse import make_option spacer = ' ' * 20 ### Command class Command(BaseCommand): option_list = BaseCommand.option_list + ( make_option('--expt', # option that will appear in cmd action='store', # no idea dest='expt', # refer to this in options variable default='050714-test', # some default help='Name of the experiment to import' # who cares ), make_option('--series', # option that will appear in cmd action='store', # no idea dest='series', # refer to this in options variable default='13', # some default help='Name of the series' # who cares ), ) args = '' help = '' def handle(self, *args, **options): ''' 1. What does this script do? > Make images that can be recognized by CellProfiler by multiplying smoothed GFP with the flattened Brightfield 2. What data structures are input? > Channel 3. What data structures are output? > Channel 4. Is this stage repeated/one-time? > One-time Steps: 1. Select composite 2. Call pmod mod on composite 3. Run ''' # 1. select composite composite = Composite.objects.get(experiment__name=options['expt'], series__name=options['series']) # 2. Call pmod mod mod = composite.mods.create(id_token=generate_id_token('img', 'Mod'), algorithm='mod_zmod') # 3. Run mod print('step02 | processing mod_zmod...', end='\r') mod.run() print('step02 | processing mod_zmod... done.{}'.format(spacer))

[ "nicholas.d.piano@gmail.com" ]

nicholas.d.piano@gmail.com

25efd543c95c0f31ed446fd5997a5882b21497e1

b992ccd52327348af6d647b078ce43a356be5ff4

/ScrapyTest/ScrapyTest/pipelines.py

3ea8bba409b53ba8500899bad694824cfe4d854e

[]

no_license

moritzwilksch/ScrapyProjects

b22ddd259484bf3604bba64eb64df00f2fb2443e

a29a07b760defd398a44048cb92e0d4b7f623d9c

refs/heads/main

2023-01-12T17:01:54.746172

2020-11-22T13:55:12

315,046,775

0

null

UTF-8

Python

false

911

py

# Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html # useful for handling different item types with a single interface from itemadapter import ItemAdapter from scrapy.exporters import JsonItemExporter import re class ScrapytestPipeline: def open_spider(self, spider): self.file = open("exportdata.json", 'w+b') self.exporter = JsonItemExporter(self.file) self.exporter.start_exporting() def close_spider(self, spider): self.exporter.finish_exporting() self.file.close() def process_item(self, item, spider): # dirty_preis = item['preis'] # match = re.match(r'\d+\.\d+', dirty_preis) # item['preis'] = match.group().replace(".", "") if match else "0" self.exporter.export_item(item) return item

[ "moritzwilksch@gmail.com" ]

moritzwilksch@gmail.com

41b8a35c5311c10f292a99c2ef0c63c9c5713fa9

0a5aeb6d170e14fc53d07c0523d1b995db1fd341

/Lab 7/file sequential.py

2f54749f2e24d636a6a30e96c47e57cb0177c025

[]

no_license

iweyy/WIA2004-Operating-Systems

f664f8b9a32654de7ab1887131410dd69475edca

3106393626ee05171637404cee68fc4e8c2acee2

refs/heads/main

2023-08-08T14:26:11.961866

2021-06-01T15:55:43

null

0

null

UTF-8

Python

false

1,478

py

maximum = 50 files = [0]*maximum repeat = 1 while repeat == 1: start = int(input (f"Enter the starting block of the files (0-{maximum-1}): ")) while start<0 or start>=maximum: if start>=maximum: print ("Exceed maximum number of file") if start<0: print ("Cannot be a negative number") start = int(input ("Enter the starting block of the files: ")) length = int(input ("Enter the length of the files: ")) while length<0 or length+start>maximum: if length+start>maximum: print ("Exceed maximum number of file") if length<0: print ("Cannot be less of equal; to 0") length = int(input ("Enter the length of the files: ")) count = 0 for i in range (length): if files[start+i] == 0: count += 1 if count == length: for i in range (length): files[start+i] = 1 print (f"files[{start+i}] = 1") print("The file is allocated to the disk") else: print("The file is not allocated to the disk") repeat = 3 while repeat == 3: ans = input("Do you want to enter more files? (Yes/No): ") if (ans.lower() == "yes"): repeat = 1 elif (ans.lower() == "no"): repeat = 0 else: print("Invalid answer.") repeat = 3 print("Files Allocated are :") for i in range (maximum): print (f"files[{i}] = {files[i]}")

[ "megathilmi49@gmail.com" ]

megathilmi49@gmail.com

d393bbe033abd2b8272cc0170156ef42703866a4

12342d6bf6635bf2bfc734f3a8e9bcb40e8782ce

/day5_2017.py

5b129fa811622a09731c9bd23ae465913e23c384

[]

no_license

ngocmtu/adventofcode

6d06d008eae4b07b303dcf814a2e2ba42d599909

cde11d15284faa0433e3a62fc69fca7c9b93aaba

refs/heads/master

2020-03-23T08:01:23.707800

2018-07-24T18:49:00

141,303,967

0

null

UTF-8

Python

false

630

py

# s = [int(line) for line in open('input.txt','r').readlines()] # s= [0,3,0,1,-3] def solve_part1(s): new_pos = 0 cur_pos = 0 count = 0 while True: if new_pos >= len(s) or new_pos < 0: return count else: count += 1 cur_pos = new_pos step = s[cur_pos] new_pos = cur_pos + step s[cur_pos] += 1 def solve_part2(s): new_pos = 0 cur_pos = 0 count = 0 while True: if new_pos >= len(s) or new_pos < 0: return count else: count += 1 cur_pos = new_pos step = s[cur_pos] new_pos = cur_pos + step s[cur_pos] += 1 if s[cur_pos] <3 else -1 print(str(solve_part1(s))) print(str(solve_part2(s)))

[ "noreply@github.com" ]

noreply@github.com

16bf0ef9ec53acb6b4376b1146bb236b50565626

fddad101c7be2fcbc05131081e708f31948c002f

/329. Longest Increasing Path in a Matrix/answer_bfs.py

a9141a61f5be8c4c3d3ff273a059e79b03652077

[]

no_license

LennyDuan/AlgorithmPython

a10c9278c676829ab5a284a618f6352414888061

523c11e8a5728168c4978c5a332e7e9bc4533ef7

refs/heads/master

2021-07-16T12:31:08.284846

2021-03-28T20:31:28

244,040,362

0

null

UTF-8

Python

false

935

py

def longestIncreasingPath(self, matrix) -> int: if not matrix: return 0 res = 0 visited = set() rows, cols = len(matrix), len(matrix[0]) directions = ((0, 1), (0, -1), (1, 0), (-1, 0)) def traverse(i, j, visited): if (i, j) in visited: return 0 res = 1 for direction in directions: next_i, next_j = i + direction[0], j + direction[1] direction_count = 0 if 0 <= next_i < rows and 0 <= next_j < cols: if matrix[next_i][next_j] > matrix[i][j]: direction_count = 1 + traverse(next_i, next_j, visited) res = max(res, direction_count) return res for row in range(rows): for col in range(cols): res = max(traverse(row, col, visited), res) return res nums = [ [3, 4, 5], [3, 2, 6], [2, 2, 1] ] print(longestIncreasingPath(None, nums))

[ "hod8@aber.ac.uk" ]

hod8@aber.ac.uk

abe3042622f37a3eb01601fb6fef3fa398f676a7

6438528fd3b380b1f5dcb94f4ccb18dc9add06e2

/py/size.py

fa1f0756b62d1a4ec6dbc5ac640d3b20c49d444f

[]

no_license

JanStoeckmann/point_cloud_denoising

df4b6ce61095bbcd2a7c48485debef946654dacf

2da1a93b30d83541f8388df3cf609809bcb49fb5

refs/heads/main

2023-02-07T14:22:20.094419

2020-12-21T14:38:18

322,682,380

1

0

null

UTF-8

Python

false

723

py

#! /usr/bin/python import sys import numpy as np import os def load_pcd(input): file1 = open(input, 'r') Lines = file1.readlines() cloud = [] for line in Lines: if (line[0].isnumeric()) or (line[0] == "-"): point = (line[0:-1]).split(" ", 2) cloud.append([float(point[0]), float(point[1]), float(point[2])]) return cloud def cloud_size(input): file1 = open(input, 'r') Lines = file1.readlines() cloud = [] for line in Lines: if (line[0].isnumeric()) or (line[0] == "-"): point = (line[0:-1]).split(" ", 2) cloud.append([float(point[0]), float(point[1]), float(point[2])]) cloud = load_pcd(input) return len(cloud)

[ "jansto@web.de" ]

jansto@web.de

0588bf589dc53ee0422f074a5ff5c91ed6377dba

d8e0d76faf67f5f466aa72b5515b1e84f30f2750

/resources/spotipy/util.py

1ca2a057fd7fc8906f4f1923abdf7c1202422a46

[]

no_license

NicolasHaeffner/spotimark

edf23a1a1ce7256dc8c5e2b6e73e3ad5c4f54441

cea4067f4aca0f78e1c996e5a72bbe3ae5eae66d

refs/heads/master

2021-05-13T16:41:10.508334

2018-01-09T10:07:05

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0

null

UTF-8

Python

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2,981

py

# shows a user's playlists (need to be authenticated via oauth) from __future__ import print_function from . import oauth2 import webbrowser from http.server import BaseHTTPRequestHandler, HTTPServer from urllib.parse import urlparse as urlparse import threading from time import sleep class TokenHandler(BaseHTTPRequestHandler): global path path = False def do_GET(self): global path print("Just received a GET request") self.send_response(200) self.send_header("Content-type", "text/html") self.end_headers() self.wfile.write(b'You may close the browser now!') path = self.path # parsed_path = urlparse(self.path) # print('=====================================') # print(parsed_path) # try: # params = dict([p.split('=') for p in parsed_path[4].split('&')]) # except: # params = {} return def log_request(self, code=None, size=None): pass def log_message(self, format, *args): print('Message') def prompt_for_user_token(username, cachepath=None, scope=None, client_id=None, client_secret=None, ip=None, port=None): # redirect_uri = 'http://localhost:12345/' redirect_uri = 'http://' + ip + ':' + port + '/' # print('The redirect uri is: ' + redirect_uri) scope = 'user-read-playback-state user-modify-playback-state playlist-read-private playlist-read-collaborative playlist-modify-public playlist-modify-private user-follow-modify user-follow-read user-library-read user-library-modify user-read-private user-read-email user-read-birthdate user-top-read' if not cachepath: cachepath = ".cache-" + username # request the token sp_oauth = oauth2.SpotifyOAuth(client_id, client_secret, redirect_uri, scope=scope, cache_path=cachepath + '/' + username + '.cache') # try to get a valid token for this user, from the cache, # if not in the cache, the create a new (this will send # the user to a web page where they can authorize this app) token_info = sp_oauth.get_cached_token() if not token_info: server = HTTPServer((ip, int(port)), TokenHandler) t = threading.Thread(target=server.handle_request) t.deamon = True t.start() auth_url = sp_oauth.get_authorize_url() if ip == 'localhost': webbrowser.open(auth_url) print("Opened %s in your browser" % auth_url) else: print("Please navigate here: %s" % auth_url) while not path: print('ConnectControl: wait for token') sleep(1) response = 'http://' + ip + ':' + port + path code = sp_oauth.parse_response_code(response) token_info = sp_oauth.get_access_token(code) # Auth'ed API request if token_info: return token_info['access_token'] else: return None

[ "nicolas.haeffner@me.com" ]

nicolas.haeffner@me.com

6651590162295a4127549a42719282d946ad2af4

a679c7624dd97779858bb7695b9e113bde09b6c6

/Python/Medium/firstNonRepeatedChar.py

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[]

no_license

lgminh/Challenges

8f2fe24bae97a0343a6ccfa20ffcfa95b92469e7

1da5c2b7b49f36f2e8d8786ed54834e9af34086c

refs/heads/master

2021-10-29T01:34:40.692029

2019-04-25T09:10:41

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from string import ascii_lowercase def firstNonRepeatedChar(s): x = {} for i in ascii_lowercase: x[i] = [] for idx, c in enumerate(s): x[c].append(idx) for k,v in x.items(): if len(v) != 1: del x[k] print min(x.values()) for k,v in x.items(): if min(x.values())[0] == v[0]: return k if __name__ == '__main__': print firstNonRepeatedChar('sdadsaasuwqf')

[ "minhlg@ahamove.com" ]

minhlg@ahamove.com

6d8269da5291ae9167422229e4273a6016767dd4

843bb82a466376ca0a74a6e28bffa8bf43df72b8

/covid_tracker/users/migrations/0001_initial.py

a6439db3963e263f35577e52584547014c08f095

[]

no_license

heyswatisrivastava/covid_tracker

a27210db400a83a466d21258fa6e4c062ac46c1f

843efed94d1df47d19a00f7d1fb7d3e40086c9a6

refs/heads/main

2023-05-10T12:04:57.788635

2021-06-28T11:11:34

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py

# Generated by Django 3.2.4 on 2021-06-27 06:38 from django.db import migrations, models import django.db.models.deletion import django_mysql.models import phonenumber_field.modelfields class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='User', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('mobile_number', phonenumber_field.modelfields.PhoneNumberField(max_length=128, region=None)), ('pincode', models.IntegerField()), ], options={ 'db_table': 'users', }, ), migrations.CreateModel( name='UserSymptom', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('symptoms', django_mysql.models.ListCharField(models.CharField(max_length=255), max_length=255, size=None)), ('travel_hostory', models.BooleanField(default=False)), ('covid_contact', models.BooleanField(default=False)), ('covid_risk', models.IntegerField(default=5)), ('user_id', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='users.user')), ], options={ 'db_table': 'user_symptoms', }, ), ]

[ "swatisrivastava162@gmail.com" ]

swatisrivastava162@gmail.com

238056c98f81b88787366589bde5eb878cd01528

a93af8744c2a7c6fd0b8e353c9a6a6af563376e1

/venv/exporter.py

6ad74bd3e42333b0d0897cbb1b5b72ddd6c93337

[]

no_license

ohjiwoo123/Python-JobScrapper

9189cba701cac1d7ee52932ed2e2cde2f81f7d63

e2591233b0c9c1473ce7682b41b6959b20944965

refs/heads/main

2023-06-02T22:06:20.385638

2021-06-20T13:23:05

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0

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UTF-8

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py

import csv def save_to_file(jobs): file = open("jobs.csv",mode ="w") writer = csv.writer(file) writer.writerow(["title","company","location","link"]) for job in jobs: writer.writerow(list(job.values())) return

[ "ohjiwoo123@naver.com" ]

ohjiwoo123@naver.com

7e4604149921d96cee1e6d69a3b590c27c1da8f1

fb5fe577eaf98073ebe458ee51b3ef288e956353

/week5/9.py

ab76ec63b57426393f2e57bfd99d4a6eb4908de2

[]

no_license

askarakshabayev/PP2_2021

f41b9703411602877c037f4a2099eb29f262125c

366793190ae7e6461e659697bfbefed28ae5e26e

refs/heads/master

2023-04-09T11:59:32.046566

2021-04-17T07:51:40

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3

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UTF-8

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false

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py

import os import shutil # dir_path = "/Users/askar/Documents/KBTU/PP2/week5/test1/test2/test3" # os.makedirs(dir_path) # src = "/Users/askar/Documents/KBTU/PP2/week5/test1/test2/test3/input.txt" # dst = "/Users/askar/Documents/KBTU/PP2/week5/test1/test2/test3/input_1.txt" # os.rename(src, dst) src = "/Users/askar/Documents/KBTU/PP2/week5/test1/test2/test_3" dst = "/Users/askar/Documents/KBTU/PP2/week5/test1/test2/test_33" # shutil.move(src, dst) # shutil.copytree(src, dst) # shutil.rmtree(src) print(os.listdir(dst))

[ "askar.akshabayev@gmail.com" ]

askar.akshabayev@gmail.com

bb085c931ea83f30ef777b2ca2a79f3eddced1d0

1953ad2d8cc8a36e29d3d48e5458aeb69bf17bdd

/[9372]패션왕 신해빈.py

8d1c75cf0e13cc09638262f1edfb0beec15e5d53

[]

no_license

wookkl/backjoon-problemsolving

8b75ac4575ffdc15615bc5672f1d5358ac3016a4

fbe7e051c7513f52b2ac26472dfc34955013549d

refs/heads/master

2023-04-10T22:33:49.614340

2021-04-25T00:50:47

219,535,847

0

null

UTF-8

Python

false

242

py

for _ in range(int(input())): items = [input().split() for i in range(int(input()))] d = {k: 0 for _, k in items} res = 1 for v, k in items: d[k] += 1 for v in d.values(): res *= (v + 1) print(res - 1)

[ "wjddnr315@gmail.com" ]

wjddnr315@gmail.com

1515e9a592a06f8c05dc0dec9c9fd9eb17031857

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/tests/test_filerecorder.py

988a9258575b12423828e9d590bc5d36d8a43e80

[ "BSD-3-Clause" ]

permissive

openxc/openxc-python

5cc9a3b6ddf9ce7ecf6bca3163c306c0d5f4fbd9

5341180fea6c364027dedc9bc4c8027b2831325f

refs/heads/master

2022-05-12T22:26:54.176224

2021-08-11T14:35:16

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91

33

BSD-3-Clause

2022-03-24T11:23:19

2012-11-02T15:20:10

Python

UTF-8

Python

false

162

py

import unittest from openxc.sinks import FileRecorderSink class FileRecorderSinkTest(unittest.TestCase): def test_create(self): FileRecorderSink()

[ "chris.peplin@rhubarbtech.com" ]

chris.peplin@rhubarbtech.com

8268a59d42801e2ee2cd8a1c58941a45940bc16a

f6a3de837ac401c464ada6d980b084425ef45791

/alexa-iot/device-broker.py

df6cfdf87a18510e1d4b32847420767a3692e0d9

[]

no_license

johanlu4st/python-alexa-skills

4f9a0bf39c0d94cac9ef3318b9e094f2da275560

e71f5d4e1f49469dd9321fafbc166d2e65509ef8

refs/heads/master

2020-09-14T09:54:49.013271

2018-05-11T11:22:34

null

0

null

UTF-8

Python

false

1,067

py

from flask import Flask, render_template from flask_mqtt import Mqtt from pymongo import MongoClient import datetime app = Flask(__name__) client = MongoClient('mongodb://pyiot:password123456@ds133166.mlab.com:33166/pyiot-stackup') db = client['pyiot-stackup'] app = Flask(__name__) app.config['MQTT_BROKER_URL'] = 'm12.cloudmqtt.com' app.config['MQTT_BROKER_PORT'] = 13743 app.config['MQTT_USERNAME'] = 'kqcqutsu' app.config['MQTT_PASSWORD'] = 'MP86zXZ6Zkds' app.config['MQTT_REFRESH_TIME'] = 1.0 # refresh time in seconds mqtt = Mqtt(app) mqtt.subscribe('room/temp') @mqtt.on_message() def handle_mqtt_message(client, userdata, message): data = dict( topic=message.topic, payload=message.payload.decode() ) print(data['topic']) print(data['payload']) tempValue = { "value" : data['payload'], "modified-date" : datetime.datetime.utcnow() } temp = db.temperature temperValue_id = temp.insert_one(tempValue).inserted_id if __name__ == '__main__': app.run(host='0.0.0.0', port=5050, debug=False)

[ "bunnyppl@gmail.com" ]

bunnyppl@gmail.com

2dd2ab1673c7b063eaa173cb49cb2e9ec01c412c

5aa3e81a9b7b251ee510208aab5f6a000c8d9e67

/Selenium/21 Comment(未完成).py

4223aeb1e7f17659ff81a1494ec9171ae95d40f6

[]

no_license

PhenomK/Project

d99aae43d837863e86a8aee56eb92ec08c632f2b

7a5a1481ff29023c0a2d5cbcac24d1d7ccf9c684

refs/heads/master

2021-09-05T01:31:08.874681

2018-01-23T12:38:10

104,861,165

0

null

UTF-8

Python

false

1,613

py

import time from selenium.webdriver.common.action_chains import ActionChains from selenium import webdriver #登陆 driver = webdriver.Chrome() driver.get("http://172.16.29.37:8080/user/login") #测试网址 elem1 = driver.find_element_by_id("user_slug") elem1.send_keys("chrome") #用户名 elem2 = driver.find_element_by_id("pwd") elem2.send_keys("123456") #密码 button = driver.find_element_by_id("submit_button") button.click() time.sleep(2) #跳转个人文件 elem3 = driver.find_element_by_link_text("个人文件") elem3.click() time.sleep(1) driver.refresh() #新建评论文档 time.sleep(1) above = driver.find_element_by_id("addfile") #新建 ActionChains(driver).move_to_element(above).perform() time.sleep(1) elem4 = driver.find_element_by_class_name("addword") #新建文档 elem4.click() time.sleep(1) ActionChains(driver).move_by_offset(xoffset=400,yoffset=400).perform() elem5 = driver.find_element_by_class_name("box") elem5.send_keys("评论测试文档") elem6 = driver.find_element_by_css_selector(".sure") elem6.click() time.sleep(2) #评论 elem7 = driver.find_element_by_xpath("a//[@class='display-name' and @title='评论测试文档.docx'/../../../..]").find_element_by_class_name("item-checkbox") elem7.click() time.sleep(1) elem8 = driver.find_element_by_id("review_contBox") elem8.click() time.sleep(1) elem9 = driver.find_element_by_class_name("review_text") elem9.send_keys("评论测试") elem10 = driver.find_element_by_id("review_message_submit") elem10.click()

[ "Ghope.plus@gmail.com" ]

Ghope.plus@gmail.com

c7fa88552bf8e2d09b066cfbefe9f1deb2738348

b4b5b755eb767c8b8224df7d05f94ab49e9eae1d

/lib/model/test.py

635fdbb590850b0c96dd8f9556abb5e419b7d099

[ "MIT" ]

permissive

107618024/Windows-Faster-RCNN-TensorFlow

8aa18d96df569251eeebec7c877bc2904e590035

95e73edffd0c0a556a2de8b832db53509d3db1f9

refs/heads/master

2020-06-22T19:00:17.663216

2019-07-09T17:06:49

null

0

null

UTF-8

Python

false

6,246

py

# -------------------------------------------------------- # Tensorflow Faster R-CNN # Licensed under The MIT License [see LICENSE for details] # Written by Xinlei Chen # -------------------------------------------------------- from __future__ import absolute_import from __future__ import division from __future__ import print_function import cv2 import numpy as np try: import cPickle as pickle except ImportError: import pickle import os import math from utils.timer import Timer from utils.blob import im_list_to_blob from model.config import cfg, get_output_dir from model.bbox_transform import clip_boxes, bbox_transform_inv from model.nms_wrapper import nms def _get_image_blob(im): """Converts an image into a network input. Arguments: im (ndarray): a color image in BGR order Returns: blob (ndarray): a data blob holding an image pyramid im_scale_factors (list): list of image scales (relative to im) used in the image pyramid """ im_orig = im.astype(np.float32, copy=True) im_orig -= cfg.PIXEL_MEANS im_shape = im_orig.shape im_size_min = np.min(im_shape[0:2]) im_size_max = np.max(im_shape[0:2]) processed_ims = [] im_scale_factors = [] for target_size in cfg.TEST.SCALES: im_scale = float(target_size) / float(im_size_min) # Prevent the biggest axis from being more than MAX_SIZE if np.round(im_scale * im_size_max) > cfg.TEST.MAX_SIZE: im_scale = float(cfg.TEST.MAX_SIZE) / float(im_size_max) im = cv2.resize(im_orig, None, None, fx=im_scale, fy=im_scale, interpolation=cv2.INTER_LINEAR) im_scale_factors.append(im_scale) processed_ims.append(im) # Create a blob to hold the input images blob = im_list_to_blob(processed_ims) return blob, np.array(im_scale_factors) def _get_blobs(im): """Convert an image and RoIs within that image into network inputs.""" blobs = {} blobs['data'], im_scale_factors = _get_image_blob(im) return blobs, im_scale_factors def _clip_boxes(boxes, im_shape): """Clip boxes to image boundaries.""" # x1 >= 0 boxes[:, 0::4] = np.maximum(boxes[:, 0::4], 0) # y1 >= 0 boxes[:, 1::4] = np.maximum(boxes[:, 1::4], 0) # x2 < im_shape[1] boxes[:, 2::4] = np.minimum(boxes[:, 2::4], im_shape[1] - 1) # y2 < im_shape[0] boxes[:, 3::4] = np.minimum(boxes[:, 3::4], im_shape[0] - 1) return boxes def _rescale_boxes(boxes, inds, scales): """Rescale boxes according to image rescaling.""" for i in range(boxes.shape[0]): boxes[i,:] = boxes[i,:] / scales[int(inds[i])] return boxes def im_detect(sess, net, im): blobs, im_scales = _get_blobs(im) assert len(im_scales) == 1, "Only single-image batch implemented" im_blob = blobs['data'] blobs['im_info'] = np.array([im_blob.shape[1], im_blob.shape[2], im_scales[0]], dtype=np.float32) _, scores, bbox_pred, rois = net.test_image(sess, blobs['data'], blobs['im_info']) boxes = rois[:, 1:5] / im_scales[0] scores = np.reshape(scores, [scores.shape[0], -1]) bbox_pred = np.reshape(bbox_pred, [bbox_pred.shape[0], -1]) if cfg.TEST.BBOX_REG: # Apply bounding-box regression deltas box_deltas = bbox_pred pred_boxes = bbox_transform_inv(boxes, box_deltas) pred_boxes = _clip_boxes(pred_boxes, im.shape) else: # Simply repeat the boxes, once for each class pred_boxes = np.tile(boxes, (1, scores.shape[1])) return scores, pred_boxes def apply_nms(all_boxes, thresh): """Apply non-maximum suppression to all predicted boxes output by the test_net method. """ num_classes = len(all_boxes) num_images = len(all_boxes[0]) nms_boxes = [[[] for _ in range(num_images)] for _ in range(num_classes)] for cls_ind in range(num_classes): for im_ind in range(num_images): dets = all_boxes[cls_ind][im_ind] if dets == []: continue x1 = dets[:, 0] y1 = dets[:, 1] x2 = dets[:, 2] y2 = dets[:, 3] scores = dets[:, 4] inds = np.where((x2 > x1) & (y2 > y1))[0] dets = dets[inds,:] if dets == []: continue keep = nms(dets, thresh) if len(keep) == 0: continue nms_boxes[cls_ind][im_ind] = dets[keep, :].copy() return nms_boxes def test_net(sess, net, imdb, weights_filename, max_per_image=100, thresh=0.3): np.random.seed(cfg.RNG_SEED) """Test a Fast R-CNN network on an image database.""" num_images = len(imdb.image_index) # all detections are collected into: # all_boxes[cls][image] = N x 5 array of detections in # (x1, y1, x2, y2, score) all_boxes = [[[] for _ in range(num_images)] for _ in range(imdb.num_classes)] output_dir = get_output_dir(imdb, weights_filename) # timers _t = {'im_detect' : Timer(), 'misc' : Timer()} for i in range(num_images): im = cv2.imread(imdb.image_path_at(i)) _t['im_detect'].tic() scores, boxes = im_detect(sess, net, im) _t['im_detect'].toc() _t['misc'].tic() # skip j = 0, because it's the background class for j in range(1, imdb.num_classes): inds = np.where(scores[:, j] > thresh)[0] cls_scores = scores[inds, j] cls_boxes = boxes[inds, j*4:(j+1)*4] cls_dets = np.hstack((cls_boxes, cls_scores[:, np.newaxis])) \ .astype(np.float32, copy=False) keep = nms(cls_dets, cfg.TEST.NMS) cls_dets = cls_dets[keep, :] all_boxes[j][i] = cls_dets # Limit to max_per_image detections *over all classes* if max_per_image > 0: image_scores = np.hstack([all_boxes[j][i][:, -1] for j in range(1, imdb.num_classes)]) if len(image_scores) > max_per_image: image_thresh = np.sort(image_scores)[-max_per_image] for j in range(1, imdb.num_classes): keep = np.where(all_boxes[j][i][:, -1] >= image_thresh)[0] all_boxes[j][i] = all_boxes[j][i][keep, :] _t['misc'].toc() print('im_detect: {:d}/{:d} {:.3f}s {:.3f}s' \ .format(i + 1, num_images, _t['im_detect'].average_time, _t['misc'].average_time)) det_file = os.path.join(output_dir, 'detections.pkl') with open(det_file, 'wb') as f: pickle.dump(all_boxes, f, pickle.HIGHEST_PROTOCOL) print('Evaluating detections') imdb.evaluate_detections(all_boxes, output_dir)

[ "32533059+gwspotex@users.noreply.github.com" ]

32533059+gwspotex@users.noreply.github.com

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/ABC051/c.py

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[]

no_license

pekopekojun/atcoder

28e3ad4e8a0741e31fbfa4ff6d6a29b964ef67c8

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refs/heads/master

2023-03-04T00:44:15.742378

2021-02-12T14:53:06

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sx, sy, tx, ty = map(int, input().split()) dx = tx-sx dy = ty-sy print("U"*dy + "R"*dx, end="") print("D"*dy + "L"*dx, end="") print("L" + "U"*(dy+1) + "R"*(dx+1) + "D", end="") print("R" + "D"*(dy+1) + "L"*(dx+1) + "U", end="")

[ "jun805@gmail.com" ]

jun805@gmail.com

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/freebot/modules/life.py

a9be7d70ec8a94577154af42daee6c072e0a2c1b

[ "LicenseRef-scancode-public-domain" ]

permissive

vashadow/Kopachris

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fa791f00df9b5e332b82cd39f9ceb704579218b9

refs/heads/master

2023-09-04T10:30:10.761319

2021-09-26T03:23:31

null

0

null

UTF-8

Python

false

854

py

import re ## Description stored in db.bot_modules description = "The answer" ## Prefix stored in db.bot_modules ## Each module should have its own prefix for bot_vars entries prefix = "42_" ## Event type handled by this module event_type = "PRIVMSG" ## Additional global vars #H_HTTP = {'User-Agent': 'Mozilla/5.0 (X11; U; Linux i686) Gecko/20071127 Firefox/2.0.0.11'} #G_URL = 'http://www.google.com/search?q={}&btnI' def init(db): pass def remove(db): pass def run(bot, event, db): m = event.message.lower() regex = re.compile('[!"#$%&\'()*+,./:;<=>?@\\^_`{|}~-]') mr = regex.sub('', m).split() ms = set(mr) q = {'what', 'the', 'life', 'universe', 'everything'} q2 = {'meaning', 'question', 'answer'} if q < ms and len(ms.intersection(q2)) == 1: bot.bot_reply(event, "Everyone knows it's 42, duh!")

[ "chris@WS01-Chris.kopachris.net" ]

chris@WS01-Chris.kopachris.net

11e357c42da450eb40840e5bb31b4c09f2f26c89

edb9121984ef9d6647ea7462c1401bdc6b9451e7

/grid_modules/__init__.py

1712334588c3eebf6859a51bae6265f6929e4b86

[]

no_license

yang0110/controllable_agent

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# from grid_modules.common import MDP

[ "ahmed.touati90@gmail.com" ]

ahmed.touati90@gmail.com

8679eb15e7abddc2ffc51114e648c08423ab7ebd

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/QDS_Test/case/dbwytest.py

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[]

no_license

jiangyg/ZWFproject

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aa35bc59566d92721f23d2dd00b0febd268ac2dd

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# coding=utf-8 import time import logging from selenium.webdriver import ActionChains from utils.mytestcase import MyTestCase from utils.logincookie import DengLuPage from utils.random import unicode from utils.screenshort import get_screenshort class DbWyTest(MyTestCase): """担保无忧测试集""" def test_dbwy(self): """担保无忧测试""" # logging.basicConfig(filename='../LOG/' + __name__ + '.log', # format='[%(asctime)s-%(filename)s-%(levelname)s: %(message)s]', level=logging.DEBUG, # filemode='a', datefmt='%Y-%m-%d%I:%M:%S %p') dl = DengLuPage(self.driver) # 官方推荐有find_element(By.*(""))代替find_element_by_*("") # self.driver.find_element_by_id() # self.driver.find_element() dl.login() time.sleep(2) ActionChains(self.driver).move_to_element(self.driver.find_element_by_css_selector( "body > div.section-banner > div.public-navbar > div > div > h3 > span")).perform() time.sleep(2) ActionChains(self.driver).move_to_element(self.driver.find_element_by_css_selector( "body > div.section-banner > div.public-navbar > div > div > div > ul:nth-child(1) > li:nth-child(1) > h3 > a")).perform() ActionChains(self.driver).release() self.driver.find_element_by_css_selector( "body > div.section-banner > div.public-navbar > div > div > div > ul:nth-child(1) > li:nth-child(1) > div > dl:nth-child(3) > dd > a:nth-child(2)").click() # 获取打开的多个窗口句柄 windows = self.driver.window_handles # 切换到当前最新打开的窗口 self.driver.switch_to.window(windows[-1]) time.sleep(2) self.driver.set_window_size(1920, 1080) time.sleep(3) self.assertIn("商标担保注册|商标注册费用|商标申请流程-权大师", self.driver.title) print(self.driver.title) # abwy注册 self.driver.find_element_by_css_selector( "body > div.section-product.width1200 > dl > dd > div.cont-serviceItems > table > tbody > tr > td.td-cont > ul > li:nth-child(2)").click() for a in self.driver.find_elements_by_css_selector("#total-price"): print("费用总计:"+a.text) aa=a.text self.driver.find_element_by_css_selector( "body > div.section-product.width1200 > dl > dd > div.cont-btnBuy > a.btn.btn-next.buynow").click() self.driver.find_element_by_name("ownerContactPerson").send_keys("{}".format(unicode())) self.driver.find_element_by_name("ownerContactPhone").send_keys("15624992498") self.driver.find_element_by_name("contactMail").send_keys("145647@qq.com") self.driver.find_element_by_css_selector("#remark").send_keys(time.strftime("%Y-%m-%d_%H-%M-%S") + "测试订单") get_screenshort(self.driver, "test_dbwy.png") for i in self.driver.find_elements_by_css_selector("body > div.myOrder-wrap > div.section-myorder.orderinfo-wrap.width1200 > div:nth-child(6) > div.last-pay.personal-last-pay > ul > li.row-sense > em > i"): print("总价:"+i.text) ii=i.text self.assertIn(aa,ii) print("价格一致") self.driver.find_element_by_css_selector( "body > div.myOrder-wrap > div.section-myorder.orderinfo-wrap.width1200 > div:nth-child(6) > div.btns > a.btn-next.submitOrder").click() for o in self.driver.find_elements_by_class_name("payable"): print("订单提交成功，应付金额:"+o.text) oo=o.text self.assertIn(oo,ii) print("测试通过") self.driver.find_element_by_css_selector("#alisubmit").click()

[ "34021500@qq.com" ]

34021500@qq.com

ba3c5206735c47b78b510cda18d0093d61793a4f

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/Program/FunctionList.py

a3c63b08a3e4b2af213ea65bd5f0989db3e1c811

[]

no_license

R-second/PyAlgorithmProblem

7ba72b152b9f1356c448fb292aea5380c86e8b84

32ba15b9d9459731ee6dc5553bbaa756114c5323

refs/heads/master

2020-05-20T00:01:16.972241

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# FunctionList.py import tkinter import PrimeFactor import Fibonacci import Gcd import MaxMin import Sort import Calendar class FunctionList: # functionListにアルゴリズムの名称を設定 functionList = ["素数判定", "フィボナッチ数列の出力", "最大公約数出力", "最大値判定", "ソート", "万年カレンダー"] @classmethod def functionMain(cls, num): # subWindowを作成 application2 = tkinter.Tk() application2.title("subWindow") # 引数numに応じてインスタンスの生成を変更 if num == 0: subWindow = PrimeFactor.PrimeFactor(application2) elif num == 1: subWindow = Fibonacci.Fibonacci(application2) elif num == 2: subWindow = Gcd.Gcd(application2) elif num == 3: subWindow = MaxMin.MaxMin(application2) elif num == 4: subWindow = Sort.Sort(application2) else: subWindow = Calendar.Calendar(application2) application2.protocol("WM_DELETE_WINDOW", subWindow.quit) application2.mainloop()

[ "R-second@yamadarigatsu-no-MacBook-Air.local" ]

R-second@yamadarigatsu-no-MacBook-Air.local

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/06 - Extração de Informação/main.py

dc5c5590d20b141da3d483c024cb6e566218a3fb

[]

no_license

odvieira/db201901

0725136b819b0515185bbb90511fb8a2ea07123f

c42a7971c5add37265fdb3a1192f3a4d821d9835

refs/heads/master

2020-05-14T11:17:47.500534

2019-05-16T02:14:18

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#!/usr/bin/env python3 from psycopg2 import extras, connect from os import system from bs4 import BeautifulSoup import requests, xml.etree.cElementTree as ET import urllib.request, json, wikipedia if __name__ == "__main__": credentials = "dbname='1901EquipePGDR' user='1901EquipePGDR' host='200.134.10.32' password='793953'" with connect(credentials) as connection: with connection.cursor(cursor_factory=extras.DictCursor) as cur: # HEADER PARA PESQUISA EM INGLES headers = {"Accept-Language": "en-US, en;q=0.5"} query_artistas = 'SELECT * FROM ArtistasMusicais' cur.execute(query_artistas) # ORGANIZANDO ARTISTAS EM LISTA lista_artistas = [] for artista_musical in cur.fetchall(): if(artista_musical[0].isdigit()): continue lista_artistas.append(artista_musical[0]) counter = 1 total = len(lista_artistas) # CRIANDO XML E ITERANDO ARTISTAS xml_art = ET.Element("ArtistasMusicais") for nome_artista in lista_artistas: print('REALIZANDO BUSCA '+str(counter)+'/'+str(total)+' (ARTISTA): ' + nome_artista) url = requests.get("https://en.wikipedia.org/wiki/"+nome_artista,headers=headers) data = url.text soup = BeautifulSoup(data,"lxml") info_box_wiki = soup.findAll("table", {"class": "infobox"}) if len(info_box_wiki) < 1: continue # NOME ARTISTA/GRUPO nome_banda = info_box_wiki[0].find("th").find(text=True) itunes_link = '' url_alt = "https://itunes.apple.com/search?term="+nome_banda.replace(' ','+')+"&entity=musicArtist" try: with urllib.request.urlopen(url_alt) as asd: data = json.loads(asd.read().decode()) itunes_link = data['results'][0]['artistLinkUrl'] except: itunes_link = '' origem = '' generos = '' for text in info_box_wiki[0].findAll("tr"): if len(text.findAll("td")) < 1: continue # CIDADE/PAIS DE ORIGEM if 'Origin' in str(text): cell_origin = text.findAll("td") for cell in cell_origin[0].contents: try: origem += cell.find(text=True) except: origem += cell # GENEROS MUSICAIS if 'Genres' in str(text): cell_genres = text.findAll("td") for cell in cell_genres[0].findAll("a"): if '[' and ']' in str(cell): continue try: generos += cell.find(text=True)+',' except: generos += cell+',' generos = generos[:-1] system('clear') counter+=1 ET.SubElement(xml_art, "Artista", uri=nome_artista,nome=nome_banda, origem=origem,generos=generos,link_itunes=itunes_link) tree = ET.ElementTree(xml_art) tree.write("music.xml") # FIM MUSICAS # INICIO FILMES query_filmes = 'SELECT * FROM Filme' cur.execute(query_filmes) # ORGANIZANDO FILMES EM LISTA lista_filmes = [] for filme in cur.fetchall(): if(filme[0].isdigit()): continue lista_filmes.append(filme[0]) # CRIANDO XML E ITERANDO FILMES xml_mov = ET.Element("Filmes") counter = 1 total = len(lista_filmes) for id_filme in lista_filmes: print('REALIZANDO BUSCA '+str(counter)+'/'+str(total)+' (FILME): ' + id_filme) # REQUEST IMDB url = requests.get('https://www.imdb.com/title/'+id_filme,headers=headers) data = url.text soup = BeautifulSoup(data,"lxml") info_imdb = soup.findAll("div", {"class": "title_wrapper"}) # NOME DO FILME nome = info_imdb[0].findAll("h1") nome = nome[0].find(text=True) #################################### try: wiki_page = wikipedia.search(nome)[0] resumo_filme = wikipedia.page(title=wiki_page).summary resumo_filme = resumo_filme.replace('\n',' ') except: resumo_filme = '' #################################### # GENEROS E LANCAMENTO gen_lan = info_imdb[0].findAll("a") lista_generos = [] for link in gen_lan: if "genres" in str(link): lista_generos.append(link.find(text=True)) elif 'releaseinfo' in str(link): data_lancamento = link.find(text=True) # DIRETOR(ES) info_diretor = soup.findAll("div", {"class": "credit_summary_item"}) link_diretor = info_diretor[0].findAll("a") lista_diretores = [] for link in link_diretor: if "name" in str(link): lista_diretores.append(link.find(text=True)) genero = '' for x in lista_generos: genero = x+',' genero = genero[:-1] diretor = '' for x in lista_diretores: diretor = x+',' diretor = diretor[:-1] data_lancamento = data_lancamento.replace('(Brazil)','') system('clear') counter+=1 ET.SubElement(xml_mov, "Filme", uri=id_filme,nome=nome,resumo=resumo_filme, diretor=diretor,generos=genero,data_lancamento=data_lancamento) tree = ET.ElementTree(xml_mov) tree.write("movie.xml")

[ "rpasserino75@gmail.com" ]

rpasserino75@gmail.com

72228f507a4ac8d98397a992ca802e652f3d5c8f

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/src/catalog/serializers.py

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[ "LicenseRef-scancode-unknown-license-reference", "Apache-2.0" ]

permissive

litedesk/litedesk-webserver-provision

95bc75f61532c5f1c7cb21fb5372ff288999689e

1576b9d3e5e2e64d1136d276767c2710cfb1938f

refs/heads/master

2021-05-15T01:35:31.984067

2020-08-18T10:55:20

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#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 2014, Deutsche Telekom AG - Laboratories (T-Labs) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from rest_framework import serializers import models class OfferSerializer(serializers.ModelSerializer): url = serializers.HyperlinkedIdentityField(view_name='offer-detail') class Meta: model = models.Offer fields = ('url', 'name', 'currency', 'price', 'setup_price', 'status') read_only_fields = ('name', 'asset', 'currency', )

[ "raphael@lullis.net" ]

raphael@lullis.net

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/wp2/merra_scripts/01_netCDF_extraction/merra902Combine/21-tideGauge.py

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[]

no_license

moinabyssinia/modeling-global-storm-surges

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refs/heads/master

2023-06-09T00:40:39.319465

2021-06-25T21:00:44

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# -*- coding: utf-8 -*- """ Created on Tue Jun 17 11:28:00 2020 -------------------------------------------- Load predictors for each TG and combine them -------------------------------------------- @author: Michael Tadesse """ import os import pandas as pd #define directories # dir_name = 'F:\\01_erainterim\\01_eraint_predictors\\eraint_D3' dir_in = "/lustre/fs0/home/mtadesse/merraLocalized" dir_out = "/lustre/fs0/home/mtadesse/merraAllCombined" def combine(): os.chdir(dir_in) #get names tg_list_name = os.listdir() x = 21 y = 22 for tg in range(x, y): os.chdir(dir_in) tg_name = tg_list_name[tg] print(tg_name, '\n') #looping through each TG folder os.chdir(tg_name) #check for empty folders if len(os.listdir()) == 0: continue #defining the path for each predictor where = os.getcwd() csv_path = {'slp' : os.path.join(where, 'slp.csv'),\ "wnd_u": os.path.join(where, 'wnd_u.csv'),\ 'wnd_v' : os.path.join(where, 'wnd_v.csv')} first = True for pr in csv_path.keys(): print(tg_name, ' ', pr) #read predictor pred = pd.read_csv(csv_path[pr]) #remove unwanted columns pred.drop(['Unnamed: 0'], axis = 1, inplace=True) #sort based on date as merra files are scrambled pred.sort_values(by = 'date', inplace=True) #give predictor columns a name pred_col = list(pred.columns) for pp in range(len(pred_col)): if pred_col[pp] == 'date': continue pred_col[pp] = pr + str(pred_col[pp]) pred.columns = pred_col #merge all predictors if first: pred_combined = pred first = False else: pred_combined = pd.merge(pred_combined, pred, on = 'date') #saving pred_combined os.chdir(dir_out) tg_name = str(tg)+"_"+tg_name; pred_combined.to_csv('.'.join([tg_name, 'csv'])) os.chdir(dir_in) print('\n') #run script combine()

[ "michaelg.tadesse@gmail.com" ]

michaelg.tadesse@gmail.com

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/Project2A/wrapper.py

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justkk/Penn-Computer-Vision

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2023-02-13T10:55:50.812795

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from morph_tri import * from click_correspondences import * import imageio sourceImage = np.array(Image.open("cat.jpeg")) destImage = np.array(Image.open("tiger.png")) #sourceImage = np.array(Image.open("leo.jpg")) #destImage = np.array(Image.open("sachin.png")) sourcePoints, destinationPoints = click_correspondences(sourceImage, destImage) ## #ex1 ''' sourcePoints = np.array([[ 73.34256952 , 8.7195157 ], [107.2168735, 27.77381168], [136.85688947, 16.12951969], [164.37976145, 35.18381568], [209.89835742, 21.95166569], [194.01977743, 70.11669165], [188.72691743, 103.99099562], [162.79190345, 133.1017256 ], [126.27116948, 143.68744559], [ 91.33829351, 133.1017256 ], [ 70.69613953, 99.22742163], [ 68.57899553, 64.29454565], [ 97.16043951, 80.17312564], [116.74402149, 83.87812764], [115.15616349, 100.28599363], [ 96.63115351, 99.22742163], [144.26689347, 87.05384364], [160.67475945, 88.11241563], [162.26261745, 100.81527962], [144.26689347, 103.99099562], [118.33187949, 119.34028961], [132.62260148, 119.34028961], [ 0. , 0. ], [256. , 256. ], [256. , 0. ], [ 0. , 256. ]] ) destinationPoints = np.array([[ 47.7227213, 9.2488017 ], [ 95.35846126, 36.77167368], [137.70134123, 35.71310168], [194.33494318, 48.41596567], [232.97282115, 27.24452568], [204.39137717, 80.17312564], [222.38710116, 119.86957561], [210.21352317, 175.97389156], [116.00061524, 228.90249152], [ 41.3712893 , 191.32318555], [ 22.84627932, 139.98244359], [ 40.8420033 , 84.40741364], [ 80.00916727, 96.58099163], [103.29775126, 97.11027763], [ 95.88774726, 121.98671961], [ 76.83345128, 111.93028562], [156.75563721, 100.28599363], [178.98564919, 104.52028162], [176.8685052 , 118.28171761], [158.34349521, 121.45743361], [ 99.59274926, 165.38817157], [138.23062723, 168.56388757], [ 0. , 0. ], [256. , 256. ], [256. , 0. ], [ 0. , 256. ]]) ''' ''' sourcePoints = np.array ([[120.22083907, 178.34197527], [123.39655507, 122.23765931], [144.56799505, 53.43047937], [194.32087901, 19.55617539], [252.54233896, 7.9118834 ], [308.64665492, 23.79046339], [348.87239089, 39.66904338], [392.27384285, 108.47622332], [393.33241485, 188.92769526], [140.33370705, 276.78917119], [161.50514704, 327.60062715], [195.37945101 ,365.70921912], [252.54233896, 397.46637909], [306.52951092, 374.17779511], [349.93096289, 333.95205914], [375.33669087, 274.67202719], [119.16226707, 229.15343123], [383.80526686, 231.27057523], [154.09514304, 211.15770724], [197.49659501, 181.51769127], [239.83947497, 209.04056324], [272.65520695, 211.15770724], [318.17380291, 183.63483526], [354.16525088, 214.33342324], [172.09086703, 231.27057523], [209.140887 , 242.91486722], [292.76807493 ,236.56343522], [324.52523491, 240.79772322], [219.72660699, 265.1448792 ], [199.61373901, 289.49203518], [191.14516301 ,319.13205116], [293.82664693, 267.2620232 ], [317.11523091, 286.31631918], [322.40809091, 319.13205116], [215.49231899 ,315.95633516], [259.95234296 ,308.54633116], [295.94379093, 317.01490716], [255.71805496, 342.42063514], [ 0. , 0. ], [512. , 512. ], [512. , 0. ], [ 0. , 512. ]]) destinationPoints = np.array([[111.32402259, 227.03628723], [ 98.6211586, 141.2919553 ], [121.90974258, 75.66049135], [171.66262654 , 17.4390314 ], [249.99695448 , 2.61902341], [328.33128241 , 17.4390314 ], [379.14273837 , 60.84048336], [411.95847035 ,127.53051931], [407.72418235 ,220.68485523], [138.84689456, 364.65064712], [164.25262254, 404.87638309], [207.65407451, 438.75068706], [270.10982246, 458.86355504], [336.79985841, 435.57497106], [374.90845038, 397.46637909], [395.02131836, 351.94778313], [ 97.5625866 , 301.13632717], [410.89989835, 288.43346318], [153.66690255, 247.14915521], [204.47835851, 214.33342324], [258.46553047, 248.20772721], [291.28126244, 250.32487121], [330.44842641, 210.09913524], [370.67416238, 240.79772322], [182.24834653, 274.67202719], [225.64979849, 276.78917119], [313.51127442, 276.78917119], [354.79558239, 271.49631119], [218.2397945 , 328.65919915], [200.24407052, 361.47493112], [194.95121052, 390.0563751 ], [328.33128241, 327.60062715], [349.5027224 , 342.42063514], [354.79558239, 362.53350312], [229.88408649, 376.29493911], [275.40268246, 367.82636312], [323.03842242, 371.00207911], [282.81268645, 398.52495109], [ 0. , 0. ], [512. , 512. ], [512. , 0. ], [ 0. , 512. ]]) ''' print(sourcePoints) print(destinationPoints) w = np.arange(0, 1.1, 0.1) morphed_set = morph_tri(sourceImage, destImage, sourcePoints, destinationPoints, w, w) res_list = [] k = 0 while k < morphed_set.shape[0]: res_list.append(morphed_set[k, :, :, :]) k += 1 imageio.mimsave('./morph_1.gif', res_list)

[ "nikhilt@nikhils-MacBook-Pro.local" ]

nikhilt@nikhils-MacBook-Pro.local

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/src/optimize_nn.py

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pgniewko/Protein-Secondary-Structure-Prediction

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refs/heads/master

2018-09-08T00:28:08.313884

2018-06-04T21:30:55

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#! /usr/bin/env python # BioE 134, Fall 2017 # Author: Pawel Gniewek (pawel.gniewek@berkeley.edu) # License: BSD # # Point to an input file (../data/db/aa_w5_a3.dat), and sec.str. classes file (../data/db/ss_a3.dat) # Usage: ./optimize_clf.py ../data/db/aa_w5_a3.dat ../data/db/ss_a3.dat from __future__ import print_function import sys import numpy as np from sklearn.neural_network import MLPClassifier from sklearn.model_selection import train_test_split from sklearn.model_selection import GridSearchCV from sklearn.metrics import classification_report from sklearn.model_selection import cross_val_score from utils import svd_pca, cross_decomp if __name__ == "__main__": # Read the data X = np.loadtxt(sys.argv[1]) Y = np.loadtxt(sys.argv[2]) # X = cross_decomp(X, Y, 12) X = svd_pca(X, 50) clf = MLPClassifier(activation='logistic',solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(25,11,3)) scores = cross_val_score(clf, X, Y, cv=5, scoring='accuracy') print("Accuracy: %0.2f (+/- %0.2f) [ %s ]" % (scores.mean(), scores.std(), "MLPClassifier: CV=5")) # Set the parameters by cross-validation parameters = [ {'activation':['logistic','relu','tanh'],\ 'solver':['lbfgs','sgd','adam'], \ 'learning_rate':['constant','adaptive'],\ 'hidden_layer_sizes':[(100,),(50,50),(50,25,3),(25,11,5)] } ] # Split the dataset in two equal parts X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.5, random_state=0) scores = ['precision', 'recall'] for score in scores: print("# Tuning hyper-parameters for %s" % score) print() clf = GridSearchCV( MLPClassifier() , parameters,\ cv=2, scoring='%s_macro' % score) clf.fit(X_train, y_train) print("Best parameters set found on development set:") print() print(clf.best_params_) print() print("Grid scores on development set:") print() means = clf.cv_results_['mean_test_score'] stds = clf.cv_results_['std_test_score'] for mean, std, params in zip(means, stds, clf.cv_results_['params']): print("%0.3f (+/-%0.03f) for %r" % (mean, std * 2, params)) print() print("Detailed classification report:") print() print("The model is trained on the full development set.") print("The scores are computed on the full evaluation set.") print() y_true, y_pred = y_test, clf.predict(X_test) print(classification_report(y_true, y_pred)) print()

[ "gniewko.pablo@gmail.com" ]

gniewko.pablo@gmail.com

9d503b337aa4b2aae5d968b8480f250c62f28706

4ac006cf216a2aac21dfdbf66db51b195066676f

/Proj5/tracking_sp16/bustersAgents.py

3482936d7e35ce0949627de786d0accfea16849a

[]

no_license

Snedakerwalker1/cs188

af98c3549ee0dede3bc546f265f97966c65ac5cc

9b7662b03a0be57e1702d454472990ec0b4036fa

refs/heads/master

2020-06-12T02:44:06.673108

2019-07-23T19:21:17

194,171,860

0

null

UTF-8

Python

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6,441

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# bustersAgents.py # ---------------- # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information: The Pacman AI projects were developed at UC Berkeley. # The core projects and autograders were primarily created by John DeNero # (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu). # Student side autograding was added by Brad Miller, Nick Hay, and # Pieter Abbeel (pabbeel@cs.berkeley.edu). import util from game import Agent from game import Directions from keyboardAgents import KeyboardAgent import inference import busters class NullGraphics: "Placeholder for graphics" def initialize(self, state, isBlue = False): pass def update(self, state): pass def pause(self): pass def draw(self, state): pass def updateDistributions(self, dist): pass def finish(self): pass class KeyboardInference(inference.InferenceModule): """ Basic inference module for use with the keyboard. """ def initializeUniformly(self, gameState): "Begin with a uniform distribution over ghost positions." self.beliefs = util.Counter() for p in self.legalPositions: self.beliefs[p] = 1.0 self.beliefs.normalize() def observeUpdate(self, observation, gameState): noisyDistance = observation pacmanPosition = gameState.getPacmanPosition() allPossible = util.Counter() for p in self.legalPositions: trueDistance = util.manhattanDistance(p, pacmanPosition) if noisyDistance != None and \ busters.getObservationProbability(noisyDistance, trueDistance) > 0: allPossible[p] = 1.0 allPossible.normalize() self.beliefs = allPossible def elapseTime(self, gameState): pass def getBeliefDistribution(self): return self.beliefs class BustersAgent: "An agent that tracks and displays its beliefs about ghost positions." def __init__( self, index = 0, inference = "ExactInference", ghostAgents = None, observeEnable = True, elapseTimeEnable = True): inferenceType = util.lookup(inference, globals()) self.inferenceModules = [inferenceType(a) for a in ghostAgents] self.observeEnable = observeEnable self.elapseTimeEnable = elapseTimeEnable def registerInitialState(self, gameState): "Initializes beliefs and inference modules" import __main__ self.display = __main__._display for inference in self.inferenceModules: inference.initialize(gameState) self.ghostBeliefs = [inf.getBeliefDistribution() for inf in self.inferenceModules] self.firstMove = True def observationFunction(self, gameState): "Removes the ghost states from the gameState" agents = gameState.data.agentStates gameState.data.agentStates = [agents[0]] + [None for i in range(1, len(agents))] return gameState def getAction(self, gameState): "Updates beliefs, then chooses an action based on updated beliefs." for index, inf in enumerate(self.inferenceModules): if not self.firstMove and self.elapseTimeEnable: inf.elapseTime(gameState) self.firstMove = False if self.observeEnable: inf.observe(gameState) self.ghostBeliefs[index] = inf.getBeliefDistribution() self.display.updateDistributions(self.ghostBeliefs) return self.chooseAction(gameState) def chooseAction(self, gameState): "By default, a BustersAgent just stops. This should be overridden." return Directions.STOP class BustersKeyboardAgent(BustersAgent, KeyboardAgent): "An agent controlled by the keyboard that displays beliefs about ghost positions." def __init__(self, index = 0, inference = "KeyboardInference", ghostAgents = None): KeyboardAgent.__init__(self, index) BustersAgent.__init__(self, index, inference, ghostAgents) def getAction(self, gameState): return BustersAgent.getAction(self, gameState) def chooseAction(self, gameState): return KeyboardAgent.getAction(self, gameState) from distanceCalculator import Distancer from game import Actions from game import Directions class GreedyBustersAgent(BustersAgent): "An agent that charges the closest ghost." def registerInitialState(self, gameState): "Pre-computes the distance between every two points." BustersAgent.registerInitialState(self, gameState) self.distancer = Distancer(gameState.data.layout, False) def chooseAction(self, gameState): """ First computes the most likely position of each ghost that has not yet been captured, then chooses an action that brings Pacman closest to the closest ghost (according to mazeDistance!). """ pacmanPosition = gameState.getPacmanPosition() legal = [a for a in gameState.getLegalPacmanActions()] livingGhosts = gameState.getLivingGhosts() livingGhostPositionDistributions = \ [beliefs for i, beliefs in enumerate(self.ghostBeliefs) if livingGhosts[i+1]] "*** YOUR CODE HERE ***" "first lets find the most likely position of each of the remaining ghosts." ghostpositions = [] #print livingGhostPositionDistributions for distribution in livingGhostPositionDistributions: pos = (0.0,0.0) value = -float('inf') for spot, prob in distribution.iteritems(): if prob >= value: value = prob pos = spot #print probposition ghostpositions.append(pos) #print ghostpositions "now use these positions to find the action that brings packman toward the closest ghost" actionPair = (float('inf'), Directions.STOP) for ghostPos in ghostpositions: newactionPair = min((self.distancer.getDistance(ghostPos, Actions.getSuccessor(pacmanPosition,a)), a) for a in legal) actionPair = min(actionPair, newactionPair) return actionPair[1]

[ "wsnedaker@berkeley.edu" ]

wsnedaker@berkeley.edu

18f607375d344ca11cc2a0c33fc9166c84602bde

58f314bc2df12c3c3b1ce7eacd5baaf60193008b

/tests/song_test.py

de5dcf007fcd024d43318168e73a2645656fb53c

[]

no_license

portypy/Caraoke_bar_w2

e75fe57d357fe6bebf5b9b6372cbf0e6ec357796

3010052e1c371b345be31c7ce72ffdb48fc47658

refs/heads/main

2023-01-13T13:33:17.367773

2020-11-28T23:41:31

null

0

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UTF-8

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py

import unittest from src.song import Song class TestSong(unittest.TestCase): def setUp(self): self.song_1 = Song("Gotta Go", "Agnostic Front", 3.2) self.song_2 = Song("On My Radio", "Selecter", 3.52) self.song_3 = Song("Divorce a I'ltalienne", "Mungo's Hifi", 3.46) def test_song_has_title(self): self.assertEqual("Gotta Go", self.song_1.title) def test_song_has_artist_name(self): self.assertEqual("Agnostic Front", self.song_1.artist) def test_song_has_duration(self): self.assertEqual(True,isinstance(self.song_2.duration,float))

[ "macdorphoto@yahoo.com" ]

macdorphoto@yahoo.com

5edaa1b154eb40102fe6ec6a4a37b893c4eab07f

f0d713996eb095bcdc701f3fab0a8110b8541cbb

/hv572GaPtbqwhJpTb_2.py

8e0bb6a39e996aa650ed4adf5f67abcc31d4539a

[]

no_license

daniel-reich/turbo-robot

feda6c0523bb83ab8954b6d06302bfec5b16ebdf

a7a25c63097674c0a81675eed7e6b763785f1c41

refs/heads/main

2023-03-26T01:55:14.210264

2021-03-23T16:08:01

350,773,815

0

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py

""" In this challenge, you must think about words as elastics. What happens when do you tend an elastic applying a constant traction force at both ends? Every part (or letter, in this case) of the elastic will expand, with the minimum expansion at the ends, and the maximum expansion in the center. If the word has an odd length, the effective central character of the word will be the pivot that splits the word into two halves. "ABC" -> Left = "A" | Center = "B" | Right = "C" If the word has an even length, you will consider two parts of equal length, with the last character of the left half and the first character of the right half being the center. "ABCD" -> Left = "AB" | Right = "CD" You will represent the expansion of a letter repeating it as many times as its numeric position (so counting the indexes from/to 1, and not from 0 as usual) in its half, with a crescent order in the left half and a decrescent order in the right half. Word = "ANNA" Left = "AN" Right = "NA" Left = "A" * 1 + "N" * 2 = "ANN" Right = "N" * 2 + "A" * 1 = "NNA" Word = Left + Right = "ANNNNA" If the word has an odd length, the pivot (the central character) will be the peak (as to say, the highest value) that delimits the two halves of the word. Word = "KAYAK" Left = "K" * 1 + "A" * 2 = "KAA" Pivot = "Y" * 3 = "YYY" Right = "A" * 2 + "K" * 1 = "AAK" Word = Left + Pivot + Right = "KAAYYYAAK" Given a `word`, implement a function that returns the elasticized version of the word as a string. ### Examples elasticize("ANNA") ➞ "ANNNNA" elasticize("KAYAK") ➞ "KAAYYYAAK" elasticize("X") ➞ "X" ### Notes * For words with less than three characters, the function must return the same word (no traction appliable). * Remember, into the left part characters are counted from 1 to the end, and, in reverse order until 1 is reached, into the right. """ def elasticize(word): def is_even(n): return n%2==0 def first_half(word, n): l8rs = {} for num in range(n): l8rs[num] = word[num] * (num+1) return l8rs def last_half(word, n): l8rs = {} y = 1 while len(word) - y > n-1: l8rs[y] = word[len(word)-y]*y y += 1 return l8rs def combine(fh, lh): lst = [] for key in sorted(list(fh.keys())): lst.append(fh[key]) for key in reversed(sorted(list(lh.keys()))): lst.append(lh[key]) return lst if len(word) < 3: return word if is_even(len(word)) == False: x = 0 y = 1 while x != len(word) - y: x += 1 y += 1 middle = x else: middle = int(len(word)/2) fh = first_half(word, middle) lh = last_half(word, middle) combined = combine(fh, lh) return ''.join(combined)

[ "daniel.reich@danielreichs-MacBook-Pro.local" ]

daniel.reich@danielreichs-MacBook-Pro.local

c100093dfec1709874cac7a3d2d395b9a4d1626c

b5bc88b6fc90a9910387ae32e4152859eae57116

/src/lib/trains/base_trainer.py

bcedf49fb5c5b7a1a918dc83bbaac8e7261c850c

[ "MIT" ]

permissive

Frankhe303/GGNet

f0344f005bbb9cfa869d62980751df8ad9789ba4

5fd113711960200929b979724f2d9b5647b4719e

refs/heads/main

2023-04-13T23:53:07.135492

2021-04-16T01:38:54

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from __future__ import absolute_import from __future__ import division from __future__ import print_function import time import torch from progress.bar import Bar from models.data_parallel import DataParallel from utils.utils import AverageMeter class ModleWithLoss(torch.nn.Module): def __init__(self, model, loss,opt): super(ModleWithLoss, self).__init__() self.model = model self.loss = loss self.opt = opt def forward(self, batch): outputs = self.model(batch['input']) loss, loss_stats = self.loss(outputs, batch) return outputs[-1], loss, loss_stats class BaseTrainer(object): def __init__( self, opt, model, optimizer=None): self.opt = opt self.optimizer = optimizer self.loss_stats, self.loss = self._get_losses(opt) self.model_with_loss = ModleWithLoss(model, self.loss, self.opt) def set_device(self, gpus, chunk_sizes, device): if len(gpus) > 1: self.model_with_loss = DataParallel( self.model_with_loss, device_ids=gpus, chunk_sizes=chunk_sizes).to(device) else: self.model_with_loss = self.model_with_loss.to(device) for state in self.optimizer.state.values(): for k, v in state.items(): if isinstance(v, torch.Tensor): state[k] = v.to(device=device, non_blocking=True) def run_epoch(self, phase, epoch, data_loader): model_with_loss = self.model_with_loss if phase == 'train': model_with_loss.train() else: if len(self.opt.gpus) > 1: model_with_loss = self.model_with_loss.module model_with_loss.eval() torch.cuda.empty_cache() opt = self.opt results = {} data_time, batch_time = AverageMeter(), AverageMeter() avg_loss_stats = {l: AverageMeter() for l in self.loss_stats} num_iters = len(data_loader) if opt.num_iters < 0 else opt.num_iters bar = Bar('{}/{}'.format(opt.task, opt.exp_id), max=num_iters) end = time.time() for iter_id, batch in enumerate(data_loader): if iter_id >= num_iters: break data_time.update(time.time() - end) for k in batch: if k != 'meta': batch[k] = batch[k].to(device=opt.device, non_blocking=True) output, loss, loss_stats = model_with_loss(batch) loss = loss.mean() if phase == 'train': self.optimizer.zero_grad() loss.backward() for key, value in model_with_loss.named_parameters(): if value.grad is None: print(key) assert False elif (value.grad == 0).all(): print(key, "none") self.optimizer.step() batch_time.update(time.time() - end) end = time.time() Bar.suffix = '{phase}: [{0}][{1}/{2}]|Tot: {total:} |ETA: {eta:} '.format( epoch, iter_id, num_iters, phase=phase, total=bar.elapsed_td, eta=bar.eta_td) for l in avg_loss_stats: avg_loss_stats[l].update( loss_stats[l].mean().item(), batch['input'].size(0)) Bar.suffix = Bar.suffix + '|{} {:.4f} '.format(l, avg_loss_stats[l].avg) if not opt.hide_data_time: Bar.suffix = Bar.suffix + '|Data {dt.val:.3f}s({dt.avg:.3f}s) ' \ '|Net {bt.avg:.3f}s'.format(dt=data_time, bt=batch_time) if opt.print_iter > 0: if iter_id % opt.print_iter == 0: print('{}/{}| {}'.format(opt.task, opt.exp_id, Bar.suffix)) else: bar.next() if opt.test: self.save_result(output, batch, results) del output, loss, loss_stats bar.finish() ret = {k: v.avg for k, v in avg_loss_stats.items()} ret['time'] = bar.elapsed_td.total_seconds() / 60. return ret, results def save_result(self, output, batch, results): raise NotImplementedError def _get_losses(self, opt): raise NotImplementedError def val(self, epoch, data_loader): return self.run_epoch('val', epoch, data_loader) def train(self, epoch, data_loader): return self.run_epoch('train', epoch, data_loader)

[ "973162258@qq.com" ]

973162258@qq.com

7d39d82e21a62f66317e371a926cb296d6850163

687684850a677f9cfd40077d036a9e25abb6ed51

/pms/core/migrations/0001_initial.py

4261d4b42f9d61542c04c42383f3c42fb9323791

[]

no_license

PhoenixCSCD/pms_backend

0f0889a70f58c477d5dc2ee8feec2c0d348e6276

bbf08354a0cc7d98f63408be460ae0522dedf96e

refs/heads/production

2022-12-11T01:08:41.065726

2020-07-23T10:25:01

244,187,846

0

1

null

2022-12-08T10:57:17

2020-03-01T16:56:03

Python

UTF-8

Python

false

3,114

py

# Generated by Django 3.0.8 on 2020-07-18 10:37 from django.db import migrations, models import uuid class Migration(migrations.Migration): initial = True dependencies = [ ('auth', '0011_update_proxy_permissions'), ] operations = [ migrations.CreateModel( name='Allergy', fields=[ ('id', models.UUIDField(default=uuid.uuid4, primary_key=True, serialize=False)), ('name', models.CharField(max_length=100)), ], ), migrations.CreateModel( name='Branch', fields=[ ('id', models.UUIDField(default=uuid.uuid4, primary_key=True, serialize=False)), ('name', models.CharField(max_length=100)), ], ), migrations.CreateModel( name='Drug', fields=[ ('id', models.UUIDField(default=uuid.uuid4, primary_key=True, serialize=False)), ('name', models.CharField(max_length=250)), ('selling_price', models.DecimalField(decimal_places=2, max_digits=19)), ('cost_price_per_pack', models.DecimalField(decimal_places=2, max_digits=19)), ('quantity_per_pack', models.IntegerField(default=1)), ], ), migrations.CreateModel( name='User', fields=[ ('password', models.CharField(max_length=128, verbose_name='password')), ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')), ('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')), ('id', models.UUIDField(default=uuid.uuid4, primary_key=True, serialize=False)), ('email', models.CharField(max_length=50, unique=True)), ('first_name', models.CharField(max_length=50)), ('last_name', models.CharField(max_length=50)), ('gender', models.CharField(choices=[('M', 'Male'), ('F', 'Female')], max_length=1)), ('date_of_birth', models.DateField()), ('phone_number', models.CharField(max_length=100)), ('is_staff', models.BooleanField(default=False)), ('avatar', models.URLField(null=True)), ('branches', models.ManyToManyField(related_name='users', to='core.Branch')), ('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.Group', verbose_name='groups')), ('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.Permission', verbose_name='user permissions')), ], options={ 'abstract': False, }, ), ]

[ "developer.akabojohnkennedy@gmail.com" ]

developer.akabojohnkennedy@gmail.com

4f0706689cac0ecb6adf7fe4ca0138f3f97c9ef1

7a77660d3205640c049cd2802954faaa819ce5b3

/Visualize.py

e329f25aede26bc2afcd8f91e1d8ea46ddc593b3

[]

no_license

jagan-hazard/Convolutional-Neural-Network

b197c2e0277751a874a2bf00f752e5cd0e0faf31

7fb24b9a8578a69cbfa52f1a3cb896532265669b

refs/heads/master

2020-03-20T08:04:24.625616

2018-06-14T04:00:20

137,298,241

0

null

UTF-8

Python

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6,490

py

from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers import Conv2D, MaxPooling2D from keras.layers import Activation, Dropout, Flatten, Dense from keras import backend as K from keras.models import model_from_json import numpy as np from keras.utils.np_utils import to_categorical from keras.utils import plot_model import matplotlib.pyplot as plt import math import cv2 import os # dimensions of our images. img_width, img_height = 150, 150 train_data_dir = '/home/jagan/Desktop/visualize/data/train' validation_data_dir = '/home/jagan/Desktop/visualize/data/validation' nb_train_samples = 3000 nb_validation_samples = 600 epochs = 1 batch_size = 150 if K.image_data_format() == 'channels_first': input_shape = (3, img_width, img_height) else: input_shape = (img_width, img_height, 3) model = Sequential() model.add(Conv2D(32, (3, 3), input_shape=input_shape)) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(64, (3, 3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(128, (3, 3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(256, (3, 3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Flatten()) model.add(Dense(256)) model.add(Activation('relu')) model.add(Dropout(0.5)) model.add(Dense(1)) model.add(Activation('sigmoid')) model.compile(loss='binary_crossentropy', optimizer='rmsprop', metrics=['accuracy']) # this is the augmentation configuration we will use for training train_datagen = ImageDataGenerator( rescale=1. / 255, shear_range=0.2, zoom_range=0.2 ) # this is the augmentation configuration we will use for testing: # only rescaling test_datagen = ImageDataGenerator(rescale=1. / 255) train_generator = train_datagen.flow_from_directory( train_data_dir, target_size=(img_width, img_height), batch_size=batch_size, class_mode='binary') validation_generator = test_datagen.flow_from_directory( validation_data_dir, target_size=(img_width, img_height), batch_size=batch_size, class_mode='binary') history=model.fit_generator( train_generator, epochs=epochs, steps_per_epoch=nb_train_samples // batch_size, validation_data=validation_generator, validation_steps=nb_validation_samples // batch_size) #history = model.fit(epochs, batch_size) # serialize model to JSON model_json = model.to_json() with open("model.json", "w") as json_file: json_file.write(model_json) model.save_weights('iter_20_16_cnn32_64_128_fc256.h5') print("Saved model to disk") #plot_model(model, to_file='model.png') #print(history.history.keys()) # summarize history for accuracy plt.plot(history.history['acc']) plt.plot(history.history['val_acc']) plt.title('model accuracy') plt.ylabel('accuracy') plt.xlabel('epoch') plt.legend(['train', 'test'], loc='upper right') plt.show() # summarize history for loss plt.plot(history.history['loss']) plt.plot(history.history['val_loss']) plt.title('model loss') plt.ylabel('loss') plt.xlabel('epoch') plt.legend(['train', 'test'], loc='upper right') plt.show() # summarize history for accuracy x=history.history['acc'] y=history.history['val_acc'] #plt.plot(history.history['acc']) #plt.plot(history.history['val_acc']) plt.plot(x,'bs',y,'g^') plt.title('model accuracy') plt.ylabel('accuracy') plt.xlabel('epoch') plt.legend(['train', 'test'], loc='upper right') plt.show() # summarize history for loss a=history.history['loss'] b=history.history['val_loss'] #plt.plot(history.history['loss']) #plt.plot(history.history['val_loss']) plt.plot(a,'bs',b,'g^') plt.title('model loss') plt.ylabel('loss') plt.xlabel('epoch') plt.legend(['train', 'test'], loc='upper right') plt.show() # Training with callbacks model.summary() model.get_config() model.layers[0].get_config() model.layers[0].input_shape model.layers[0].output_shape model.layers[0].get_weights() np.shape(model.layers[0].get_weights()[0]) model.layers[0].trainable #hist = model.fit(X_train, y_train, batch_size=16, nb_epoch=num_epoch, verbose=1, validation_data=(X_test, y_test),callbacks=callbacks_list) test_image = cv2.imread('/home/jagan/Desktop/1.jpg') #provide the image we want to visualize at each layer #test_image=cv2.cvtColor(test_image, cv2.COLOR_BGR2GRAY) test_image=cv2.resize(test_image,(150,150)) test_image = np.array(test_image) test_image = test_image.astype('float32') test_image /= 255 print (test_image.shape) test_image= np.expand_dims(test_image, axis=0) #test_image=np.rollaxis(test_image,2,0) print (test_image.shape) # Predicting the test image print((model.predict(test_image))) print(model.predict_classes(test_image)) def get_featuremaps(model, layer_idx, test_image): get_activations = K.function([model.layers[0].input, K.learning_phase()],[model.layers[layer_idx].output,]) activations = get_activations([test_image,0]) return activations layer_num= #Enter the layer number (Zero Indexing) filter_num= ##Enter the filter number (Zero Indexing) activations = get_featuremaps(model, int(layer_num),test_image) print (np.shape(activations)) feature_maps = activations[0][0] print (np.shape(feature_maps)) #For all the filters fig=plt.figure(figsize=(30,30)) plt.imshow(feature_maps[:,:,filter_num])#,cmap='gray' plt.savefig("feature_maps:{}".format(layer_num)) #plt.savefig("featurmemaps-layer-{}".format(layer_num) + "-filternum-{}".format(filter_num)+'.jpg') num_of_featuremaps=feature_maps.shape[2] fig=plt.figure(figsize=(30,30)) plt.title("featuremaps-layer-{}".format(layer_num)) subplot_num=int(np.ceil(np.sqrt(num_of_featuremaps))) c=int(num_of_featuremaps) print (c) for i in range(c): ax = fig.add_subplot(subplot_num, subplot_num, i+1) #ax.imshow(output_image[0,:,:,i],interpolation='nearest' ) #to see the first filter ax.imshow(feature_maps[:,:,i])#,cmap='gray' plt.xticks([]) plt.yticks([]) plt.tight_layout() plt.show() fig.savefig("featuremaps-layer-{}".format(layer_num) + '.jpg')

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noreply@github.com

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/Scatterplot Matrix.py

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BsRam07/Data-Visualization---Python

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import numpy as np import matplotlib.pyplot as plt import pandas as pd import scipy.stats as stats import seaborn as sns sns.set() df = sns.load_dataset("iris") sns.pairplot(df, hue="species", size=2.5) plt.show()

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noreply@github.com

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stevery/coco

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#-*- encoding:utf8 -*- import subprocess import re from time import sleep while True: arp_r = subprocess.check_output(["arp","-a"], stderr=subprocess.STDOUT, shell=True) my_arp = {} a = arp_r.split('\r\n\r\n') for i in a: tmp_list = i.strip().split('\r\n') if re.search("\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}", tmp_list[0]): tmp_interface = re.search("\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}", tmp_list[0]).group() my_arp[tmp_interface] = {} for j in tmp_list[2:]: try: tmp_body = j.strip().split() if tmp_body[1] in my_arp[tmp_interface]: print 'arp spoofing found {}:{}'.format(tmp_body[0],tmp_body[1]) print my_arp[tmp_interface][tmp_body[1]] else: my_arp[tmp_interface].update({tmp_body[1]:tmp_body[0]}) except: pass sleep(30)

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triptokyw@gmail.com

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/vente.py

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aniskchaou/PRODUCTION-ERP-MODULE

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# -*- coding: utf-8 -*- import sys import openerp from openerp import models, fields, api, _ from openerp import tools from datetime import date from datetime import datetime from openerp.tools.safe_eval import safe_eval as eval from openerp.tools import DEFAULT_SERVER_DATE_FORMAT import re import base64 from openerp.exceptions import except_orm, Warning, RedirectWarning #---------------------------------------------------------- # taux_tva #---------------------------------------------------------- class taux_tva(models.Model): _name = 'taux.tva' _rec_name = 'taux_tva' client_ids = fields.One2many('vente.client', 'taux_tva_id', 'Clients') taux_tva = fields.Float('Taux TVA', required=True) default = fields.Boolean('Défaut') @api.model def create(self, values): if values['default'] == True: obj_ids = self.search([('default', '=', True)]) if len(obj_ids) > 0: raise Warning(_('Erreur!'), _('Il faut un seul valeur par défaut')) #taux_tva doit etre unique taux_tva_count = self.search_count([('taux_tva', '=', values['taux_tva'])]) if taux_tva_count > 0: raise Warning(_('Erreur!'), _('( %s ) : Cette valeur existe déja')% (values['taux_tva'])) obj_id = super(taux_tva, self).create(values) return obj_id @api.multi def write(self, values): if values.get("default", False) == True: obj_ids = self.search([('default', '=', True)]) if len(obj_ids) > 0: raise Warning(_('Erreur!'), _('Il faut un seul valeur par défaut')) #taux_tva doit etre unique if values.get("taux_tva", False) != False and values.get("taux_tva", False) != self.taux_tva: taux_tva_count = self.search_count([('taux_tva', '=', values.get("taux_tva", False))]) if taux_tva_count > 0: raise Warning(_('Erreur!'), _('( %s ) : Cette valeur existe déja')% (values.get("taux_tva", False))) obj_id = super(taux_tva, self).write(values) return obj_id #---------------------------------------------------------- # article_commande_rel #---------------------------------------------------------- class article_commande_rel(models.Model): @api.one @api.depends('commande_id', 'article_id') def _get_quantite_livre(self): for rec in self: qte = 0 bl_ids = self.env['bon.livraison'].search([('commande_id', '=', rec.commande_id.id), ('article_id', '=', rec.article_id.id)]) for bl in bl_ids: qte += bl.quantite self.quantite_livre = qte @api.one @api.depends('commande_id', 'article_id') def _get_quantite_reserve(self): for rec in self: qte = 0 br_ids = self.env['bon.reservation'].search([('commande_id', '=', rec.commande_id.id), ('article_id', '=', rec.article_id.id)]) for br in br_ids: qte += br.quantite self.quantite_reserve = qte @api.one @api.depends('quantite', 'quantite_livre') def _get_progress(self): if self.quantite > 0 and self.quantite_livre > 0: self.progress = self.quantite_livre / self.quantite * 100 else: self.progress = 0 _name = "article.commande.rel" article_id = fields.Many2one('production.article', 'Article', ondelete='cascade', required=True) commande_id = fields.Many2one('production.commande', 'Commande', ondelete='cascade', required=True) quantite = fields.Float('Quantité', required=True) unite = fields.Selection([('u','U'), ('kg','Kg'), ('m2','m²'), ('m','m')], related='article_id.unite', readonly=True, string='Unite') date_limit = fields.Date('Date limite', required=True) quantite_livre = fields.Float(compute='_get_quantite_livre', string='Qte_Livré') quantite_reserve = fields.Float(compute='_get_quantite_reserve', string='Qte_Rés') progress = fields.Float(compute='_get_progress', string='Progression') stock_non_reserve = fields.Float(string='Stk_Non_Rés', related='article_id.stock_non_reserve') @api.multi def creer_of(self): #pour creer un of il faut que la commande en etat demarre if self.commande_id.state != 'nonplanifie': raise Warning(_('Erreur!'), _('OF est dejà Planifié')) return { 'name': _("Ordre fabrication"), 'type': 'ir.actions.act_window', 'view_type': 'form', 'view_mode': 'form', 'res_model': 'production.ordre.fabrication', 'view_id': False, 'context': { 'default_commande_id': self.commande_id.id, 'default_article_sortant': self.article_id.id, 'default_quantite': self.quantite, 'default_date_fin': self.date_limit, 'default_line_commande_id': self.id, 'default_famille_id':self.article_id.famille_id.id, 'default_quantite':self.quantite }, } @api.multi def creer_bon_reservation(self): #pour creer un bon réservation il faut que la commande en etat demarre if self.commande_id.state == 'planifie': raise Warning(_('Erreur!'), _('La commande n\'est pas encore démarré')) return { 'name': _("Bon de réservation"), 'type': 'ir.actions.act_window', 'view_type': 'form', 'view_mode': 'form', 'res_model': 'bon.reservation', 'view_id': False, 'context': { 'default_client_id': self.commande_id.client_id.id, 'default_commande_id': self.commande_id.id, 'default_article_id': self.article_id.id, 'default_quantite_commande': self.quantite }, } @api.multi def creer_bon_livraison(self): #pour creer un bon livraison il faut que la commande en etat demarre if self.commande_id.state == 'planifie': raise Warning(_('Erreur!'), _('La commande n\'est pas encore démarré')) return { 'name': _("Bon de livraison"), 'type': 'ir.actions.act_window', 'view_type': 'form', 'view_mode': 'form', 'res_model': 'bon.livraison', 'view_id': False, 'context': { 'default_client_id': self.commande_id.client_id.id, 'default_commande_id': self.commande_id.id, 'default_article_id': self.article_id.id, 'default_quantite_commande': self.quantite }, } #---------------------------------------------------------- # production_commande #---------------------------------------------------------- class production_commande(models.Model): @api.one @api.depends('state') def _check_color(self): for rec in self: color = 0 color_value = self.env['color.status'].search([('state', '=', rec.state)], limit=1).color if color_value: color = color_value self.member_color = color #button workflow Démarrer @api.one def action_demarrer_commande(self): if self.article_commande_ids: self.write({'state': 'demarre'}) else: raise Warning(_('Erreur!'), _('Cette commande (%s) ne contient aucun article')% (self.num_commande)) @api.one def action_confirmer_commande(self): self.write({'state': 'nonplanifie'}) #button workflow Terminer @api.one def action_terminer_commande(self): self.write({'state': 'termine'}) _name = 'production.commande' _rec_name = 'num_commande' member_color = fields.Integer(compute='_check_color', string='Color') of_ids = fields.One2many('production.ordre.fabrication', 'commande_id', 'Ordres de fabrication') num_commande = fields.Char('Num commande', required=True) client_id = fields.Many2one('vente.client', 'Client', required=True, ondelete='cascade') date_creation = fields.Date('Date création', required=True, default= lambda *a:datetime.now().strftime('%Y-%m-%d')) date_limit_cmd = fields.Date('Date limite', required=True) article_commande_ids = fields.One2many('article.commande.rel', 'commande_id', 'Articles') state = fields.Selection([('nonconfirme','Non Confirmé'),('nonplanifie','Non Planifié'),('planifie','Planifié'), ('demarre','Demarré'), ('termine','Terminé')], 'Etat', readonly=True, default='nonconfirme') bon_livraison_ids = fields.One2many('bon.livraison', 'commande_id', 'Bons de livraiosn') bon_reservation_ids = fields.One2many('bon.reservation', 'commande_id', 'Bons de réservation') @api.model def create(self, values): #test num_commande doit etre unique if self.env['production.commande'].search_count([('num_commande', '=', values['num_commande'])]) > 0: raise Warning(_('Erreur!'), _('Numéro commande existe déjà [ %s ].')% (values['num_commande'])) # test date_creation <= date_limit_cmd if values['date_creation'] > values['date_limit_cmd']: raise Warning(_('Erreur!'), _('Il faut que : Date création <= Date limite')) obj_id = super(production_commande, self).create(values) #test si les lignes articles sont distinct ids = [] for obj in self.browse(obj_id.id): for line in obj.article_commande_ids: if line.article_id.id in ids: raise Warning(_('Erreur!'), _("Même article ajouté plusieurs fois : %s") % line.article_id.code_article) ids.append(line.article_id.id) #récupérer les lignes de commande article_lines = self.env['article.commande.rel'].search([('commande_id', '=', obj_id.id)]) for l in article_lines: #test date_creation <= date_limit (article) <= date_limit_cmd if l.date_limit > values['date_limit_cmd'] or l.date_limit < values['date_creation']: raise Warning(_('Erreur!'), _('Les dates des lignes articles doivent êtres dans [ %s , %s].\n %s qui est séléctionnée')% (values['date_creation'], values['date_limit_cmd'], l.date_limit)) #vérifier quantité if float(l.quantite) <= 0: raise Warning(_('Erreur!'), _('La quantité doit être supérieur à zero')) return obj_id @api.multi def creer_of(self): return { 'name': _("Ordre fabrication"), 'type': 'ir.actions.act_window', 'view_type': 'form', 'view_mode': 'form', 'res_model': 'production.ordre.fabrication', 'view_id': False, 'context': { 'default_commande_id': self.id, }, } @api.multi def write(self, values): obj_id=super(production_commande,self).write(values) for obj in self: #test num_commande doit etre unique self.env.cr.execute('select * from production_commande where num_commande = %s',(obj.num_commande,)) lines = self.env.cr.dictfetchall() if len(lines) > 1: raise Warning(_('Erreur!'), _('Numéro commande existe déjà [ %s ].')% (obj.num_commande)) # test date_creation <= date_limit_cmd if obj.date_creation > obj.date_limit_cmd: raise Warning(_('Erreur!'), _('Il faut que : Date création <= Date limite')) #test si les lignes articles sont distinct ids = [] for line in obj.article_commande_ids: if line.article_id.id in ids: raise Warning(_('Erreur!'), _("Même article ajouté plusieurs fois : %s") % line.article_id.code_article) ids.append(line.article_id.id) #récupérer les lignes de commande article_lines = self.env['article.commande.rel'].search([('commande_id', '=', obj.id)]) for l in article_lines: #test date_creation <= date_limit (article) <= date_limit_cmd if l.date_limit > obj.date_limit_cmd or l.date_limit < obj.date_creation: raise Warning(_('Erreur!'), _('Les dates des lignes articles doivent êtres dans [ %s , %s].\n %s qui est séléctionnée')% (obj.date_creation, obj.date_limit_cmd, l.date_limit)) #vérifier commande if float(l.quantite) <= 0: raise Warning(_('Erreur!'), _('La quantité doit être supérieur à zero')) return obj_id #---------------------------------------------------------- # bon_reservation #---------------------------------------------------------- class bon_reservation(models.Model): @api.one @api.depends('commande_id', 'article_id') def _get_quantite_commande(self): qte = 0 if self.commande_id and self.article_id: self.quantite_commande = self.env['article.commande.rel'].search([('article_id', '=', self.article_id.id), ('commande_id', '=', self.commande_id.id)], limit=1).quantite @api.one @api.depends('commande_id', 'article_id') def _get_quantite_livre(self): qte = 0 if self.commande_id and self.article_id: bon_livraison_ids = self.env['bon.livraison'].search([('commande_id', '=', self.commande_id.id), ('article_id', '=', self.article_id.id)]) for bl in bon_livraison_ids: qte += bl.quantite self.quantite_livre = qte @api.one @api.depends('commande_id', 'article_id') def _get_quantite_reserve(self): qte = 0 if self.commande_id and self.article_id: bon_reservation_ids = self.env['bon.reservation'].search([('commande_id', '=', self.commande_id.id), ('article_id', '=', self.article_id.id)]) for br in bon_reservation_ids: qte += br.quantite self.quantite_reserve = qte @api.one @api.depends('quantite_commande', 'quantite_reserve') def _get_progress_reserve_commande(self): if self.quantite_commande > 0 and self.quantite_reserve > 0: self.progress_reserve_commande = self.quantite_reserve / self.quantite_commande * 100 else: self.progress_reserve_commande = 0 _name = 'bon.reservation' code_bon = fields.Char('Code bon :', readonly=True) date_bon = fields.Date('Date bon', required=True, default= lambda *a:datetime.now().strftime('%Y-%m-%d')) client_id = fields.Many2one('vente.client', 'Code client', ondelete='cascade', required=True, domain=[('id', 'in', [])]) commande_id = fields.Many2one('production.commande', 'Code commande', ondelete='cascade', required=True, domain="[('state', '=', 'demarre')]" ) article_id = fields.Many2one('production.article', 'Code article', ondelete='cascade', required=True) quantite = fields.Float('Quantité ', required=True) #ajouter qte satisfaite= remarque = fields.Text('Remarque') quantite_commande = fields.Float(compute='_get_quantite_commande', string='Quantité commandé') quantite_livre = fields.Float(compute='_get_quantite_livre', string='Quantité livré') quantite_reserve = fields.Float(compute='_get_quantite_reserve', string='Quantité réservé') stock_disponible = fields.Float('Stock disponible', related='article_id.stock_disponible') stock_non_reserve = fields.Float('Stock non réservé', related='article_id.stock_non_reserve') unite = fields.Selection([('u','U'), ('kg','Kg'), ('m2','m²'), ('m','m')], related='article_id.unite', readonly=True, string='Unite') progress_reserve_commande = fields.Float(compute='_get_progress_reserve_commande', string='Progression quantité réservé') @api.model def fields_view_get(self, view_id=None, view_type=False, toolbar=False, submenu=False): res = super(bon_reservation, self).fields_view_get(view_id=view_id, view_type=view_type, toolbar=toolbar, submenu=submenu) for field in res['fields']: if field == 'article_id': res['fields'][field]['domain'] = [('id','in', [])] return res @api.model def create(self, values): #test si quantite <= 0 on genere exception if values['quantite'] <= 0: raise Warning(_('Erreur!'), _('La quantité doit étre supérieur strictement à zero ( %s )')% (values['quantite'])) #test si quantite à réservé > stock_non_réservé ==> exception article_obj = self.env['production.article'].browse(values['article_id']) if values['quantite'] > article_obj.stock_non_reserve: raise Warning(_('Erreur!'), _('La quantité à réservé est supérieur à la quantité stock disponible')) #Trouver quantité commandé values['quantite_commande'] = self.env['article.commande.rel'].search([('article_id', '=', values['article_id']), ('commande_id', '=', values['commande_id'])], limit=1).quantite #Calcul quantite réservé bon_reservation_ids = self.env['bon.reservation'].search([('commande_id', '=', values['commande_id']), ('article_id', '=', values['article_id'])]) qte_reserve = 0 for b in bon_reservation_ids: qte_reserve += b.quantite #test si quantite réservé > quantite commandé ==> exception qte_reserve_total = qte_reserve + values['quantite'] if qte_reserve_total > values['quantite_commande']: raise Warning(_('Erreur!'), _('La quantité à réservé est supérieur à la quantité demandé :\n \ (qantite_à_réservé : %s / quantite_demandé : %s)')% (qte_reserve_total, values['quantite_commande'])) #augmenter le stock_reserve article_obj.stock_reserve += values['quantite'] #generer code sequence "code_bon" values['code_bon'] = self.env['ir.sequence'].get('bon.reservation') new_id = super(bon_reservation, self).create(values) return new_id @api.multi def write(self, values): nouv_article = values.get('article_id', None) nouv_quantite = values.get('quantite', None) ancien_article_obj = self.env['production.article'].browse(self.article_id.id) if nouv_article: nouv_article_obj = self.env['production.article'].browse(nouv_article) #si il y a une nouvelle quantité if nouv_quantite: #test si quantite <= 0 on genere exception if nouv_quantite <= 0: raise Warning(_('Erreur!'), _('La quantité doit étre supérieur strictement à zero ( %s )')% (nouv_quantite)) #test si quantite à réservé > stock_non_réservé ==> exception if nouv_quantite > nouv_article_obj.stock_non_reserve: raise Warning(_('Erreur!'), _('La quantité à réservé est supérieur à la quantité stock disponible')) #modifier le stock ancien_article_obj.stock_reserve -= self.quantite nouv_article_obj.stock_reserve += nouv_quantite else:#meme quantite #test si quantite à réservé > stock_non_réservé ==> exception if self.quantite > nouv_article_obj.stock_non_reserve: raise Warning(_('Erreur!'), _('La quantité à réservé est supérieur à la quantité stock disponible')) #modifier le stock ancien_article_obj.stock_reserve -= self.quantite nouv_article_obj.stock_reserve += self.quantite else: if nouv_quantite: #test si quantite <= 0 on genere exception if nouv_quantite <= 0: raise Warning(_('Erreur!'), _('La quantité doit étre supérieur strictement à zero ( %s )')% (nouv_quantite)) #test si quantite à réservé > stock_non_réservé ==> exception if (nouv_quantite - self.quantite) > ancien_article_obj.stock_non_reserve: raise Warning(_('Erreur!'), _('La quantité à réservé est supérieur à la quantité stock disponible')) #modifier le stock ancien_article_obj.stock_reserve += nouv_quantite - self.quantite obj_id=super(bon_reservation, self).write(values) return obj_id @api.multi def unlink(self): for rec in self: article_obj = self.env['production.article'].browse(rec.article_id.id) article_obj.stock_reserve -= rec.quantite return super(bon_reservation, self).unlink() @api.onchange('commande_id') def onchange_commande_id(self): res = {} ids = [] default_commande = self._context.get('default_commande_id', False) default_article = self._context.get('default_article_id', False) if self.commande_id: if default_article == False: self.article_id = [] if default_commande: if self.commande_id.id != default_commande: self.article_id = [] #filter sur le champ article_id selon commande_id séléctionné for ligne in self.commande_id.article_commande_ids: ids.append(ligne.article_id.id) #select client_id selon commande_id séléctionné self.client_id = self.commande_id.client_id else:#si commande_id vide self.article_id = [] res['domain'] = {'article_id': [('id', 'in', ids)]} return res #---------------------------------------------------------- # bon_livraison #---------------------------------------------------------- class bon_livraison(models.Model): @api.one @api.depends('commande_id', 'article_id') def _get_quantite_commande(self): qte = 0 if self.commande_id and self.article_id: self.quantite_commande = self.env['article.commande.rel'].search([('article_id', '=', self.article_id.id), ('commande_id', '=', self.commande_id.id)], limit=1).quantite @api.one @api.depends('commande_id', 'article_id') def _get_quantite_livre(self): qte = 0 if self.commande_id and self.article_id: bon_livraison_ids = self.env['bon.livraison'].search([('commande_id', '=', self.commande_id.id), ('article_id', '=', self.article_id.id)]) qte = 0 for bl in bon_livraison_ids: qte += bl.quantite self.quantite_livre = qte @api.one @api.depends('commande_id', 'article_id') def _get_quantite_reserve(self): qte = 0 if self.commande_id and self.article_id: bon_reservation_ids = self.env['bon.reservation'].search([('commande_id', '=', self.commande_id.id), ('article_id', '=', self.article_id.id)]) qte = 0 for br in bon_reservation_ids: qte += br.quantite self.quantite_reserve = qte @api.one @api.depends('quantite_commande', 'quantite_livre') def _get_progress_livre_commande(self): if self.quantite_commande > 0 and self.quantite_livre > 0: self.progress_livre_commande = self.quantite_livre / self.quantite_commande * 100 else: self.progress_livre_commande = 0 @api.one @api.depends('quantite_commande', 'quantite_reserve') def _get_progress_reserve_commande(self): if self.quantite_commande > 0 and self.quantite_reserve > 0: self.progress_reserve_commande = self.quantite_reserve / self.quantite_commande * 100 else: self.progress_reserve_commande = 0 _name = 'bon.livraison' code_bon = fields.Char('Code bon :', readonly=True) date_bon = fields.Date('Date bon', required=True, default= lambda *a:datetime.now().strftime('%Y-%m-%d')) client_id = fields.Many2one('vente.client', 'Code client', ondelete='cascade', required=True, domain=[('id', 'in', [])]) commande_id = fields.Many2one('production.commande', 'Code commande', ondelete='cascade', required=True, domain="[('state', '=', 'demarre')]" ) article_id = fields.Many2one('production.article', 'Code article', ondelete='cascade', required=True) quantite = fields.Float('Quantité', required=True) quantite_commande = fields.Float(compute='_get_quantite_commande', string='Quantité commandé') quantite_commande2 = fields.Float('Quantité commandé', related='quantite_commande') quantite_livre = fields.Float(compute='_get_quantite_livre', string='Quantité livré') quantite_reserve = fields.Float(compute='_get_quantite_reserve', string='Quantité réservé') stock_disponible = fields.Float('Stock disponible', related='article_id.stock_disponible') stock_non_reserve = fields.Float('Stock non réservé', related='article_id.stock_non_reserve') unite = fields.Selection([('u','U'), ('kg','Kg'), ('m2','m²'), ('m','m')], related='article_id.unite', readonly=True, string='Unite') progress_reserve_commande = fields.Float(compute='_get_progress_reserve_commande', string='Progression quantité réservé') progress_livre_commande = fields.Float(compute='_get_progress_livre_commande', string='Progression quantité livré') @api.model def fields_view_get(self, view_id=None, view_type=False, toolbar=False, submenu=False): res = super(bon_livraison, self).fields_view_get(view_id=view_id, view_type=view_type, toolbar=toolbar, submenu=submenu) for field in res['fields']: if field == 'article_id': res['fields'][field]['domain'] = [('id','in', [])] return res @api.model def create(self, values): #test si quantite <= 0 on genere exception if values['quantite'] <= 0: raise Warning(_('Erreur!'), _('La quantité doit étre supérieur strictement à zero ( %s )')% (values['quantite'])) #Calcul quantite réservé bon_reservation_ids = self.env['bon.reservation'].search([('commande_id', '=', values['commande_id']), ('article_id', '=', values['article_id'])]) qte_res = 0 for b in bon_reservation_ids: qte_res += b.quantite #test si aucun quantite réservé if qte_res == 0: raise Warning(_('Erreur!'), _('Aucun quantité réservé dans le stock')) #Calcul quantite livré bon_livraison_ids = self.env['bon.livraison'].search([('commande_id', '=', values['commande_id']), ('article_id', '=', values['article_id'])]) qte_livre = 0 for b in bon_livraison_ids: qte_livre += b.quantite #test si quantite livre > quantite reserve ==> exception qte_livre_total = qte_livre + values['quantite'] if qte_livre_total > qte_res: raise Warning(_('Erreur!'), _('La quantité à livrer est supérieur à la quantité réservé:\n \ (quantite_à_livré : %s / quantite_réservé : %s)')% (qte_livre_total, qte_res)) #generer code sequence "code_bon" values['code_bon'] = self.env['ir.sequence'].get('bon.livraison') # stock_reel -= qte # stock_reserve -= qte article_obj = self.env['production.article'].browse(values['article_id']) if article_obj: article_obj.stock_reel -= values['quantite'] article_obj.stock_reserve -= values['quantite'] #test stock minimale article_obj.verifier_stock() new_id = super(bon_livraison, self).create(values) return new_id @api.multi def write(self, values): commande = values.get('commande_id', None) if commande == None: commande = self.commande_id.id nouv_article = values.get('article_id', None) nouv_quantite = values.get('quantite', None) ancien_article_obj = self.env['production.article'].browse(self.article_id.id) if nouv_article: #Calcul quantite réservé bon_reservation_ids = self.env['bon.reservation'].search([('commande_id', '=', commande), ('article_id', '=', nouv_article)]) qte_res = 0 for b in bon_reservation_ids: qte_res += b.quantite #Calcul quantite livré bon_livraison_ids = self.env['bon.livraison'].search([('commande_id', '=', commande), ('article_id', '=', nouv_article)]) qte_livre = 0 for b in bon_livraison_ids: qte_livre += b.quantite nouv_article_obj = self.env['production.article'].browse(nouv_article) #si il y a une nouvelle quantité if nouv_quantite: #test si quantite <= 0 on genere exception if nouv_quantite <= 0: raise Warning(_('Erreur!'), _('La quantité doit étre supérieur strictement à zero ( %s )')% (nouv_quantite)) #test si quantite livre > quantite reserve ==> exception qte_livre_total = qte_livre + nouv_quantite if qte_livre_total > qte_res: raise Warning(_('Erreur!'), _('La quantité à livrer est supérieur à la quantité réservé:\n \ (quantite_à_livré : %s / quantite_réservé : %s)')% (qte_livre_total, qte_res)) #modifier le stock ancien_article_obj.stock_reel += self.quantite ancien_article_obj.stock_reserve += self.quantite nouv_article_obj.stock_reel -= nouv_quantite nouv_article_obj.stock_reserve -= nouv_quantite else:#meme quantite #test si quantite livre > quantite reserve ==> exception qte_livre_total = qte_livre + self.quantite if qte_livre_total > qte_res: raise Warning(_('Erreur!'), _('La quantité à livrer est supérieur à la quantité réservé:\n \ (quantite_à_livré : %s / quantite_réservé : %s)')% (qte_livre_total, qte_res)) #modifier le stock ancien_article_obj.stock_reel += self.quantite ancien_article_obj.stock_reserve += self.quantite nouv_article_obj.stock_reel -= self.quantite nouv_article_obj.stock_reserve -= self.quantite else: if nouv_quantite: #test si quantite <= 0 on genere exception if nouv_quantite <= 0: raise Warning(_('Erreur!'), _('La quantité doit étre supérieur strictement à zero ( %s )')% (nouv_quantite)) #Calcul quantite réservé bon_reservation_ids = self.env['bon.reservation'].search([('commande_id', '=', commande), ('article_id', '=', self.article_id.id)]) qte_res = 0 for b in bon_reservation_ids: qte_res += b.quantite #Calcul quantite livré bon_livraison_ids = self.env['bon.livraison'].search([('commande_id', '=', commande), ('article_id', '=', self.article_id.id)]) qte_livre = 0 for b in bon_livraison_ids: qte_livre += b.quantite #test si quantite livre > quantite reserve ==> exception if nouv_quantite > self.quantite: qte_livre_total = qte_livre + nouv_quantite - self.quantite if qte_livre_total > qte_res: raise Warning(_('Erreur!'), _('La quantité à livrer est supérieur à la quantité réservé:\n \ (quantite_à_livré : %s / quantite_réservé : %s)')% (qte_livre_total, qte_res)) #modifier le stock ancien_article_obj.stock_reel += self.quantite - nouv_quantite ancien_article_obj.stock_reserve += self.quantite - nouv_quantite obj_id=super(bon_livraison,self).write(values) return obj_id @api.multi def unlink(self): for rec in self: article_obj = self.env['production.article'].browse(rec.article_id.id) article_obj.stock_reel += rec.quantite article_obj.stock_reserve += rec.quantite return super(bon_livraison, self).unlink() @api.onchange('commande_id') def onchange_commande_id(self): res = {} ids = [] default_commande = self._context.get('default_commande_id', False) default_article = self._context.get('default_article_id', False) if self.commande_id: if default_article == False: self.article_id = [] if default_commande: if self.commande_id.id != default_commande: self.article_id = [] #filter sur le champ article_id selon commande_id séléctionné for ligne in self.commande_id.article_commande_ids: ids.append(ligne.article_id.id) #select client_id selon commande_id séléctionné self.client_id = self.commande_id.client_id else:#si commande_id vide self.article_id = [] res['domain'] = {'article_id': [('id', 'in', ids)]} return res

[ "kchaouanis26@gmail.com" ]

kchaouanis26@gmail.com

424a153fb67403733012e88be8f95f8f6783f4bc

4872375eeb0b2a45c0d3046bbfb5cd2d202b2295

/quiz.py

e89862b18df06fdbf7fe361b76ea3a36a1613f18

[ "MIT" ]

permissive

ash018/discordQuizBot

ee3aae7171220f39bd9a0bb057c2fa5eab017dd5

b00441553bbbeeab2c4da0264eeed8480a33c3a1

refs/heads/master

2020-04-13T09:00:18.410702

2018-12-25T17:05:28

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# -*- coding: utf-8 -*- """ Quiz / Question classes for quizbot. @author: drkatnz """ import asyncio import random import re import os #todo: probably need to remove punctuation from answers class Quiz: def __init__(self, client, win_limit=10, hint_time=30): #initialises the quiz self.__running = False self.current_question = None self._win_limit = win_limit self._hint_time = hint_time self._questions = [] self._asked = [] self.scores = {} self._client = client self._quiz_channel = None self._cancel_callback = True #load in some questions datafiles = os.listdir('quizdata') for df in datafiles: filepath = 'quizdata' + os.path.sep + df self._load_questions(filepath) print('Loaded: ' + filepath) print('Quiz data loading complete.\n') def _load_questions(self, question_file): # loads in the questions for the quiz with open(question_file, encoding='utf-8',errors='replace') as qfile: lines = qfile.readlines() question = None category = None answer = None regex = None position = 0 while position < len(lines): if lines[position].strip().startswith('#'): #skip position += 1 continue if lines[position].strip() == '': #blank line #add question if question is not None and answer is not None: q = Question(question=question, answer=answer, category=category, regex=regex) self._questions.append(q) #reset everything question = None category = None answer = None regex = None position += 1 continue if lines[position].strip().lower().startswith('category'): category = lines[position].strip()[lines[position].find(':') + 1:].strip() elif lines[position].strip().lower().startswith('question'): question = lines[position].strip()[lines[position].find(':') + 1:].strip() elif lines[position].strip().lower().startswith('answer'): answer = lines[position].strip()[lines[position].find(':') + 1:].strip() elif lines[position].strip().lower().startswith('regexp'): regex = lines[position].strip()[lines[position].find(':') + 1:].strip() #else ignore position += 1 def started(self): #finds out whether a quiz is running return self.__running def question_in_progress(self): #finds out whether a question is currently in progress return self.__current_question is not None async def _hint(self, hint_question, hint_number): #offers a hint to the user if self.__running and self.current_question is not None: await asyncio.sleep(self._hint_time) if (self.current_question == hint_question and self._cancel_callback == False): if (hint_number >= 5): await self.next_question(self._channel) hint = self.current_question.get_hint(hint_number) await self._client.send_message(self._channel, 'Hint {}: {}'.format(hint_number, hint), tts=True) if hint_number < 5: await self._hint(hint_question, hint_number + 1) async def start(self, channel): #starts the quiz in the given channel. if self.__running: #don't start again await self._client.send_message(channel, 'Quiz already started in channel {}, you can stop it with !stop or !halt'.format(self._channel.name), tts=True) else: await self.reset() self._channel = channel await self._client.send_message(self._channel, '@here Quiz starting in 10 seconds...', tts=True) await asyncio.sleep(10) self.__running = True await self.ask_question() async def reset(self): if self.__running: #stop await self.stop() #reset the scores self.current_question = None self._cancel_callback = True self.__running = False self._questions.append(self._asked) self._asked = [] self.scores = {} async def stop(self): #stops the quiz from running if self.__running: #print results #stop quiz await self._client.send_message(self._channel, 'Quiz stopping.', tts=True) if(self.current_question is not None): await self._client.send_message(self._channel, 'The answer to the current question is: {}'.format(self.current_question.get_answer()), tts=True) await self.print_scores() self.current_question = None self._cancel_callback = True self.__running = False else: await self._client.send_message(self._channel, 'No quiz running, start one with !ask or !quiz', tts=True) async def ask_question(self): #asks a question in the quiz if self.__running: #grab a random question qpos = random.randint(0,len(self._questions) - 1) self.current_question = self._questions[qpos] self._questions.remove(self.current_question) self._asked.append(self.current_question) await self._client.send_message(self._channel, 'Question {}: {}'.format(len(self._asked), self.current_question.ask_question()), tts=True) self._cancel_callback = False await self._hint(self.current_question, 1) async def next_question(self, channel): #moves to the next question if self.__running: if channel == self._channel: await self._client.send_message(self._channel, 'Moving onto next question. The answer I was looking for was: {}'.format(self.current_question.get_answer()), tts=True) self.current_question = None self._cancel_callback = True await self.ask_question() async def answer_question(self, message): #checks the answer to a question if self.__running and self.current_question is not None: if message.channel != self._channel: pass if self.current_question.answer_correct(message.content): #record success self._cancel_callback = True if message.author.name in self.scores: self.scores[message.author.name] += 1 else: self.scores[message.author.name] = 1 await self._client.send_message(self._channel, 'Well done, {}, the correct answer was: {}'.format(message.author.name, self.current_question.get_answer()), tts=True) self.current_question = None #check win if self.scores[message.author.name] == self._win_limit: await self.print_scores() await self._client.send_message(self._channel, '{} has won! Congratulations.'.format(message.author.name), tts=True) self._questions.append(self._asked) self._asked = [] self.__running = False #print totals? elif len(self._asked) % 5 == 0: await self.print_scores() await self.ask_question() async def print_scores(self): #prints out a table of scores. if self.__running: await self._client.send_message(self._channel,'Current quiz results:', tts=True) else: await self._client.send_message(self._channel,'Most recent quiz results:', tts=True) highest = 0 for name in self.scores: await self._client.send_message(self._channel,'{}:\t{}'.format(name,self.scores[name]), tts=True) if self.scores[name] > highest: highest = self.scores[name] if len(self.scores) == 0: await self._client.send_message(self._channel,'No results to display.', tts=True) leaders = [] for name in self.scores: if self.scores[name] == highest: leaders.append(name) if len(leaders) > 0: if len(leaders) == 1: await self._client.send_message(self._channel,'Current leader: {}'.format(leaders[0]), tts=True) else: await self._client.send_message(self._channel,'Print leaders: {}'.format(leaders), tts=True) class Question: # A question in a quiz def __init__(self, question, answer, category=None, author=None, regex=None): self.question = question self.answer = answer self.author = author self.regex = regex self.category = category self._hints = 0 def ask_question(self): # gets a pretty formatted version of the question. question_text = '' if self.category is not None: question_text+='({}) '.format(self.category) else: question_text+='(General) ' if self.author is not None: question_text+='Posed by {}. '.format(self.author) question_text += self.question return question_text def answer_correct(self, answer): #checks if an answer is correct or not. #should check regex if self.regex is not None: match = re.fullmatch(self.regex.strip(),answer.strip()) return match is not None #else just string match return answer.lower().strip() == self.answer.lower().strip() def get_hint(self, hint_number): # gets a formatted hint for the question hint = [] for i in range(len(self.answer)): if i % 5 < hint_number: hint = hint + list(self.answer[i]) else: if self.answer[i] == ' ': hint += ' ' else: hint += '-' return ''.join(hint) def get_answer(self): # gets the expected answer return self.answer

[ "sadatakash018@gmail.com" ]

sadatakash018@gmail.com

1c37e0a39fb706b42f03597283cf1a50dd03b413

f9888153e33dc29324d868ca7f1f0ec14b6b4bd4

/aireal/roof/view_results.py

e0d9c783b3c96475a711cee90d1d2ea8e98a11d0

[]

no_license

gsvigruha/images

a029a51bf7bbcc5384ddb34c26e52eaf98261e04

6aac3deca36b09049f9f403ba438fdb7a98ee92e

refs/heads/master

2021-07-21T06:34:57.383519

2020-05-25T01:32:20

173,651,473

0

null

2020-05-25T01:32:21

2019-03-04T01:18:23

Python

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Python

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3,163

py

import matplotlib.pyplot as plt import numpy as np import matplotlib.image as mpimg from matplotlib.pyplot import figure import tensorflow as tf from images.aireal.roof.image_loader import LABELS, TRAIN, BATCH_SIZE def feature_iter_1(test_file_list, model_file): sess = tf.Session('', tf.Graph()) with sess.graph.as_default(): train_images=[] model = tf.keras.models.load_model(model_file) for filename in test_file_list: rgb_image = tf.read_file(TRAIN + filename + ".jpg") rgb_image_decoded = tf.image.decode_jpeg(rgb_image, channels=3) rgb_image_decoded = tf.to_float(rgb_image_decoded) / 255.0 cir_fn = tf.strings.regex_replace(filename, '2005050310033_78642723578549', '2005050310034_78642723578549_CIR') cir_image = tf.read_file(TRAIN + cir_fn + ".jpg") cir_image_decoded = tf.image.decode_jpeg(cir_image, channels=3) cir_image_decoded = tf.to_float(cir_image_decoded) / 255.0 train_image_decoded = tf.concat([rgb_image_decoded, cir_image_decoded], axis=2) input_tf = sess.run(tf.stack([train_image_decoded], axis=0)) train_images.append(model.predict(input_tf)) sess.close() return np.squeeze(np.stack(train_images, axis=0)) def feature_iter_2(test_file_list, model_file, output_dirs): sess = tf.Session('', tf.Graph()) with sess.graph.as_default(): train_images=[] model = tf.keras.models.load_model(model_file) for filename in test_file_list: rgb_image = tf.read_file(TRAIN + filename + ".jpg") rgb_image_decoded = tf.image.decode_jpeg(rgb_image, channels=3) rgb_image_decoded = tf.to_float(rgb_image_decoded) / 255.0 cir_fn = tf.strings.regex_replace(filename, '2005050310033_78642723578549', '2005050310034_78642723578549_CIR') cir_image = tf.read_file(TRAIN + cir_fn + ".jpg") cir_image_decoded = tf.image.decode_jpeg(cir_image, channels=3) cir_image_decoded = tf.to_float(cir_image_decoded) / 255.0 feature_tensors = [rgb_image_decoded, cir_image_decoded] for output_dir in output_dirs: prev_image = tf.read_file(TRAIN + output_dir + filename + "_roof_output.png") prev_image_decoded = tf.image.decode_jpeg(prev_image, channels=1) prev_image_decoded = tf.to_float(prev_image_decoded) / 255.0 feature_tensors.append(prev_image_decoded) train_image_decoded = tf.concat(feature_tensors, axis=2) input_tf = sess.run(tf.stack([train_image_decoded], axis=0)) train_images.append(model.predict(input_tf)) sess.close() return np.squeeze(np.stack(train_images, axis=0)) def show(test_file_list, y): f = figure(num=None, figsize=(16, 32), dpi=80, facecolor='w', edgecolor='k') N = len(test_file_list) for i in range(0, N): name = test_file_list[i] print(name) f.add_subplot(N,3,i*3+1) plt.imshow(np.squeeze(y[i]), cmap='gray', vmin=0, vmax=1) img=mpimg.imread('/home/gsvigruha/aireal/Classification/'+name+'.jpg') f.add_subplot(N,3,i*3+2) plt.imshow(img) img_s=mpimg.imread('/home/gsvigruha/aireal/Classification/'+name+'_shapes.png') f.add_subplot(N,3,i*3+3) plt.imshow(img_s) plt.show()

[ "noreply@github.com" ]

noreply@github.com

fce8102b6fabca507bec27dbceb55dbf1eaf4c0c

87e80e3e91dbb23b857b8fd44427bb03e3a0be29

/API/decision.py

38eb0adc8f8a33d738917e1901d6ca2c0503017e

[ "Unlicense" ]

permissive

ClementRoyer/TwitchAFK-API

fc68da62bd6393d155a4ff6523f886636db0aec5

92164d776930bd6c8e371a5d2b8ef7fe07b76ea9

refs/heads/master

2023-01-22T09:00:07.838758

2020-12-07T22:01:59

318,622,586

0

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import time def betStrategy(driver, bet): output = { "choice": "", "amount": 0 } output['choice'] = "A" if bet.coteA > bet.coteB else "B" # Take the most advantageous odds output['amount'] = min(round(int("".join(bet.amount.split())) * 0.05), 250000) # Caped to 250 000, bet 5% of the balance return output

[ "clement.royer@epitech.eu" ]

clement.royer@epitech.eu

f382e321982d7046239348d2a2c1037f961777ea

012d619f174805e5aef31d3a51e5954542e5f270

/Dj030101/Dj030101/urls.py

81417811b7d92bc96bd871880e68821a0346eb75

[]

no_license

thunderdrum/self-service-supermarket

8174a591bb91f5e67b86a51af56784b458788cf1

6e98511e37f09547f7f625626abd11fdedc41ab9

refs/heads/master

2022-04-01T21:43:21.988989

2020-01-23T03:05:57

null

0

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""" Dj030101 URL Configuration The 'urlpatterns' list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.1/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path from shop import views as shop_views urlpatterns = [ path('admin/', admin.site.urls), path('', shop_views.index, name='index'), path('login/', shop_views.login, name='login'), path('cashier/', shop_views.cashier, name='cashier'), path('cashier/add_product/', shop_views.add_product, name="add_product"), path('cashier/delete_product/', shop_views.delete_product, name="delete_product"), path('cashier/get_return/', shop_views.get_return_money, name="get_return"), path('cashier/cancel/', shop_views.cashier_cancel, name="cashier_cancel"), path('cashier/submit/', shop_views.cashier_submit, name="cashier_submit"), path('main/', shop_views.main, name='main'), path('main/sales_query/', shop_views.sales_query, name='sales_query'), path('main/salesdetail_query/', shop_views.salesdetail_query, name='salesdetail_query'), ]

[ "noreply@github.com" ]

noreply@github.com

d26c162667d757caa31ccc5aa285f4f67e0e43f7

597e9361ba5508e1252a595791c7739ab7b7bf6d

/venv/Scripts/pip-script.py

550cd4c7602fded3c3fff7c55bfebf6c8340020c

[]

no_license

Shivani-781/Sorting_Algorithms_Python_Implementation

ec1d2598322665f94a059a3ac8bc2074db814a56

ddaa2b47b6ed7fe9e65e259d47fa3a73d5f255ad

refs/heads/master

2022-12-06T14:41:42.282435

2020-08-29T18:58:34

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py

#!"C:\Users\Shivani Chauhan\PycharmProjects\Sorting_Algorithms_Python_Implementation\venv\Scripts\python.exe" # EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip' __requires__ = 'pip==19.0.3' 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('pip==19.0.3', 'console_scripts', 'pip')() )

[ "shivanichauhan781@gmail.com" ]

shivanichauhan781@gmail.com

78a5d26431e1c5228b1257e275fe51fbf8ab3863

09f49c5dae6a3abe0e8fc15437539f93dd3844fc

/common/vp_mail/publish_notes.py

a457bebf4a684419b1e93db8b223bf0679e9116b

[]

no_license

JAZimmermann/samples

aeacfdc8281862c299ec950a2621e57dadc3110a

969c90d764f1df266aeea7c47cac02ef93a3d43d

refs/heads/master

2021-01-11T08:07:21.672933

2016-09-22T05:03:57

68,860,690

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3,507

py

# # Copyright (c) [2014] John Zimmermann # # $URL$ # $Date: 2014-09-04$ # $Revision: 1.0$ # $Author: johnz $ # class PublishNotes(object): ''' main class for gathering publish notes from user by providing a prompt dialog based on what application they are in, ie. maya or mobu ''' def __init__(self): ''' initialize instance ''' self._win_title = "Publish Notes" self._win_msg = "Enter publish notes / updates." self._application = None self.notes = None # attempt to determine current application self._determine_application() def _determine_application(self): ''' attempt to determine what is current application before proceeding to get notes input from user ''' if not self._check_for_maya() and not self._check_for_mobu(): raise ImportError("Unable to ascertain / import current " + "application as Maya or MotionBuilder. " + "Make sure application is correct.") if self._application.lower() == "maya": self._get_maya_notes() if self._application.lower() == "mobu": self._get_mobu_notes() def _check_for_maya(self): ''' try to determine if current application is maya related ''' found = False try: import maya.cmds as mc self._application = mc.about(query=True, application=True) found = True except: pass return found def _check_for_mobu(self): ''' try to determine if current application is motionbuilder related ''' found = False try: import re from pyfbsdk import FBSystem mobu_patt = re.compile("motionbuilder", re.IGNORECASE) if mobu_patt.search(FBSystem().ApplicationPath): self._application = "mobu" found = True except: pass return found def _get_maya_notes(self): ''' prompt for and retrieve publish notes from user in maya ''' import maya.cmds as mc confirm = mc.promptDialog( title=self._win_title, messageAlign="center", message=self._win_msg, button=["OK", "Cancel"], defaultButton="OK", cancelButton="Cancel", dismissString="Cancel" ) if confirm == "OK": self.notes = mc.promptDialog(query=True, text=True) def _get_mobu_notes(self): ''' prompt for and retrieve publish notes from user in maya ''' from pyfbsdk import FBMessageBoxGetUserValue, FBPopupInputType cancelBtn = 0 confirm, notes = FBMessageBoxGetUserValue(self._win_title, self._win_msg, "", FBPopupInputType.kFBPopupString, "Ok", "Cancel", None, 1, cancelBtn) print confirm, notes if confirm == 1: self.notes = notes

[ "john.zimm.zimmermann@gmail.com" ]

john.zimm.zimmermann@gmail.com

327169a1cb6be4099ccb7f13fab70dfa92f4742e

7deda84f7a280f5a0ee69b98c6a6e7a2225dab24

/Receptionist/migrations/0027_package_manage_reception.py

45248c462110a952feffbb09a7008787a2c97129

[]

no_license

Cornex-Inc/Coffee

476e30f29412373fb847b2d518331e6c6b9fdbbf

fcd86f20152e2b0905f223ff0e40b1881db634cf

refs/heads/master

2023-01-13T01:56:52.755527

2020-06-08T02:59:18

240,187,025

0

null

2023-01-05T23:58:52

2020-02-13T05:47:41

Python

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Python

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549

py

# Generated by Django 2.1.15 on 2020-05-19 15:34 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('Receptionist', '0026_package_manage_grouping'), ] operations = [ migrations.AddField( model_name='package_manage', name='reception', field=models.ForeignKey(default=0, on_delete=django.db.models.deletion.DO_NOTHING, to='Receptionist.Reception'), preserve_default=False, ), ]

[ "khm4321@naver.com" ]

khm4321@naver.com

36dc2128246ab9955f721cf3b4751c1493ded948

17c90beebbe2551255eacd009e0033f738d265f0

/python/02-Linux_loop_update/full-app-bootload.py

ac2b7454de4b926c7dc551cdd65f9435cda9c36a

[]

no_license

xiangliangliang/python

533e766da1551f37695b44df8bbbddd807ede63c

8519c53582ddb82ec106d96b2a47e61258498825

refs/heads/master

2020-04-17T20:41:27.536570

2019-02-12T07:45:49

166,916,742

0

null

UTF-8

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py

''' 为确保程序运行，请执行以下操作 1. 使Linux的串口放在第一个tab 2. 使升级设备处于第二个tab 3. 使电源串口处于第三个tab ''' # $language = "python" # $interface = "1.0" import re import time import datetime import string import random filename = re.sub(r'[^0-9]', '_', str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")), 0) file_path = crt.Dialog.FileOpenDialog(title='Please select a text file', defaultFilename=filename+'_log.log',filter = 'Log Files (*.log)|*.log') def main(): upgrade_SW = ['app_16.bin','app_17.bin','app_18.bin','app_19.bin','app_20.bin','app_22.bin','app_23.bin','app_24.bin','app_25.bin','app_26.bin'] upgrade_FULL_SW = ['app_full_16.bin','app_full_17.bin','app_full_18.bin','app_full_19.bin','app_full_20.bin','app_full_22.bin','app_full_23.bin','app_full_24.bin','app_full_25.bin','app_full_26.bin'] upgrade_boot=['boot_8M.bin','boot_8M.bin'] check_version = ['00.01.24','00.01.24','00.01.24','00.01.24','00.01.24','00.01.24','00.01.24','00.01.24','00.01.24'] #check_version = ['00.01.16','00.01.17','00.01.18','00.01.19','00.01.20','00.01.21','00.01.22','00.01.23','00.01.24'] crt.Screen.Synchronous = False i=0 boot_count=0 while 1: initialTab = crt.GetScriptTab() tab_1 = crt.GetTab(1) tab_1.Activate() tab_1.Screen.Send('\r\n') #tab_1.Screen.Send("./sample_upgrade "+sw+ '\r\n') # --------------改改改 if (boot_count%2) == 0: tab_1.Screen.Send("boot_8M.bin" + '\r\n') # 升级8M BootLoader boot_count = boot_count +1 filep = open(file_path, 'a+') filep.write(str(i)+' '+str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))+' '+check_version[i]+' PASS'+'\r\n') i = i+1 else: tab_1.Screen.Send("boot_4M.bin" + '\r\n') filep = open(file_path, 'a+') filep.write(str(i)+' '+str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))+' '+check_version[i]+' PASS'+'\r\n') i = i+1 time.sleep(4) tab_3 = crt.GetTab(3) tab_3.Activate() time.sleep(2) tab_3.Screen.Send('\r\n') tab_3.Screen.Send('\r\n') on = str.upper('out')+'1' off = str.upper('out')+'0' tab_3.Screen.Send(off +'\r\n\r') time.sleep(5) tab_3.Screen.Send(on +'\r\n\r') for i in range(8) : #-----------随机升级app8次 #升级app tab_1 = crt.GetTab(1) tab_1.Activate() tab_1.Screen.Send('\r\n') time.sleep(2) #tab_1.Screen.Send("./sample_upgrade "+sw+ '\r\n') # --------------改改改 a = random.randint(0,10) tab_1.Screen.Send(upgrade_SW[a]+ '\r\n') # --------------升级app time.sleep(2) # --------------改改改 #重启平台，直流源的串口必须放在第三个tab tab_3 = crt.GetTab(3) tab_3.Activate() time.sleep(2) tab_3.Screen.Send('\r\n') tab_3.Screen.Send('\r\n') on = str.upper('out')+'1' off = str.upper('out')+'0' tab_3.Screen.Send(off +'\r\n\r') time.sleep(5) tab_3.Screen.Send(on +'\r\n\r') #打开C201-D串口，串口必须放在第二个 tab_2 = crt.GetTab(2) tab_2.Activate() time.sleep(5) tab_2.Screen.Send('\r\n') tab_2.Screen.Send('getVersion'+'\r\n') version_result = tab_2.Screen.WaitForString('command_getVersion',5) if version_result == 1: current_sw = tab_2.Screen.ReadString('CPU0').strip() current_sw = current_sw[:8] #crt.Dialog.MessageBox(current_sw) time.sleep(2) #crt.Dialog.MessageBox(check_version) else: crt.Dialog.MessageBox("版本升级失败，请终止升级","session",32|3) time.sleep(1) break return WEnd if (current_sw == check_version[a]): filep = open(file_path, 'a+') filep.write(str(i)+' '+str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))+' '+check_version[i]+' PASS'+'\r\n') i = i+1 else: filep = open(file_path, 'a+') filep.write(str(i)+' '+str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))+' '+check_version[i]+' Fail'+'\r\n') i = i+1 crt.Dialog.MessageBox("版本升级失败，请终止升级","session",32|3) time.sleep(1) break return WEnd tab_1 = crt.GetTab(1) tab_1.Activate() tab_1.Screen.Send('\r\n') #tab_1.Screen.Send("./sample_upgrade "+sw+ '\r\n') # --------------改改改 tab_1.Screen.Send("app_25.bin" + '\r\n') # 升级app_25.bin time.sleep(2) # ------改改改 tab_3 = crt.GetTab(3) tab_3.Activate() time.sleep(2) tab_3.Screen.Send('\r\n') tab_3.Screen.Send('\r\n') on = str.upper('out')+'1' off = str.upper('out')+'0' tab_3.Screen.Send(off +'\r\n\r') time.sleep(5) tab_3.Screen.Send(on +'\r\n\r') tab_2 = crt.GetTab(2) tab_2.Activate() time.sleep(5) tab_2.Screen.Send('\r\n') tab_2.Screen.Send('getVersion'+'\r\n') version_result = tab_2.Screen.WaitForString('command_getVersion',5) if version_result == 1: current_sw = tab_2.Screen.ReadString('CPU0').strip() current_sw = current_sw[:8] #crt.Dialog.MessageBox(current_sw) time.sleep(2) #crt.Dialog.MessageBox(check_version) else: crt.Dialog.MessageBox("版本升级失败，请终止升级","session",32|3) time.sleep(1) break return WEnd if (current_sw == '00.01.25'): filep = open(file_path, 'a+') filep.write(str(i)+' '+str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))+' '+'00.01.25 app'+' PASS'+'\r\n') i = i+1 else: filep = open(file_path, 'a+') filep.write(str(i)+' '+str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))+' '+'00.01.25 app'+' Fail'+'\r\n') i = i+1 crt.Dialog.MessageBox("版本升级失败，请终止升级","session",32|3) time.sleep(1) break return tab_1 = crt.GetTab(1) tab_1.Activate() tab_1.Screen.Send('\r\n') #tab_1.Screen.Send("./sample_upgrade "+sw+ '\r\n') # --------------改改改 ij=random.randint(0.10) tab_1.Screen.Send(upgrade_FULL_SW[ij] + '\r\n') # 升级随机一个full image.bin time.sleep(2) # --------------改改改 tab_3 = crt.GetTab(3) tab_3.Activate() time.sleep(2) tab_3.Screen.Send('\r\n') tab_3.Screen.Send('\r\n') on = str.upper('out')+'1' off = str.upper('out')+'0' tab_3.Screen.Send(off +'\r\n\r') time.sleep(5) tab_3.Screen.Send(on +'\r\n\r') tab_2 = crt.GetTab(2) tab_2.Activate() time.sleep(5) tab_2.Screen.Send('\r\n') tab_2.Screen.Send('getVersion'+'\r\n') version_result = tab_2.Screen.WaitForString('command_getVersion',5) if version_result == 1: current_sw = tab_2.Screen.ReadString('CPU0').strip() current_sw = current_sw[:8] #crt.Dialog.MessageBox(current_sw) time.sleep(2) #crt.Dialog.MessageBox(check_version) else: crt.Dialog.MessageBox("版本升级失败，请终止升级","session",32|3) time.sleep(1) break return WEnd if (current_sw == check_version[ij]): filep = open(file_path, 'a+') filep.write(str(i)+' '+str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))+' '+check_version[ij]+' PASS'+'\r\n') i = i+1 else: filep = open(file_path, 'a+') filep.write(str(i)+' '+str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))+' '+check_version[ij]+' Fail'+'\r\n') i = i+1 crt.Dialog.MessageBox("版本升级失败，请终止升级","session",32|3) time.sleep(1) break return main()

[ "284604666@qq.com" ]

284604666@qq.com

a734b3373cd26121facac575215b185ffb3f1f82

caa70852a42cc70ef81573539da1f3efedc9d0e5

/venv/bin/easy_install

94a82250d36e04e5e6e7dafdd4e3c20e0b4119cd

[]

no_license

nejelnejel/bubble_sort_2

62aa4977f606ae2d6055c4cad9853393d415c93a

7fa37e55aa1ce7dd9b422688ad6a3b2b87283ed3

refs/heads/master

2020-11-26T12:01:03.276878

2019-12-19T14:38:08

229,065,696

0

null

UTF-8

Python

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437

#!/home/rent/PycharmProjects/sphinx/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')() )

[ "nejelnejel@gmail.com" ]

nejelnejel@gmail.com

845f77bc8d39737647f4a55d183df4f8f7afdbf3

43aeee48c1f6fc468a43f9bb0d4edae8ee0dbee1

/LPTW-SRC/例3_21.py

8430bd36f542e524ac1f1798a936dc9eba351ed6

[]

no_license

wiky2/mytestproject

f694cf71dd3031e4597086f3bc90d246c4b26298

e7b79df6304476d76e87f9e8a262f304b30ca312

refs/heads/master

2021-09-07T20:54:19.569970

2018-02-28T23:39:00

100,296,844

2

1

null

UTF-8

Python

false

1,333

py

#这个循环用来保证必须输入大于2的整数作为评委人数 while True: try: n = int(input('请输入评委人数：')) if n <= 2: print('评委人数太少,必须多于2个人。') else: #如果输入大于2的整数，就结束循环 break except: Pass #用来保存所有评委的打分 scores = [] for i in range(n): #这个while循环用来保证用户必须输入0到100之间的数字 while True: try: score = input('请输入第{0}个评委的分数：'.format(i+1)) #把字符串转换为实数 score = float(score) #用来保证输入的数字在0到100之间 assert 0<=score<=100 scores.append(score) #如果数据合法，跳出while循环，继续输入下一个评委的得分 break except: print('分数错误') #计算并删除最高分与最低分 highest = max(scores) lowest = min(scores) scores.remove(highest) scores.remove(lowest) #计算平均分，保留2位小数 finalScore = round(sum(scores)/len(scores), 2) formatter = '去掉一个最高分{0}\n去掉一个最低分{1}\n最后得分{2}' print(formatter.format(highest, lowest, finalScore))

[ "jerry_136510@aliyun.com" ]

jerry_136510@aliyun.com

729ab8bbd28235101a138824f2811f233210925f

a4f6e1caef32ddfd45fdf5475fbec24020e8be19

/KNN from scratch for mushroom dataset.py

4451375f94947ed573902870c40da4a363849fcd

[]

no_license

rishabkr/KNN-classifier-from-scratch-for-Mushroom-Dataset

1c4ef8740ad63f7c5c8b0a7774478d15de654c6a

3fe49a331ac45346c719ff8ca433838fe3605b66

refs/heads/master

2020-12-29T16:11:21.315946

2020-02-06T10:41:59

238,664,774

0

null

UTF-8

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py

import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns from pprint import pprint import random import math from collections import Counter class KNNClassifier: def __init__(self): pass def train_test_split(self, dataframe,test_size): dataframe_size=len(dataframe) if isinstance(test_size,float):#if test size is passed as a proportion test_size=round(test_size*dataframe_size) #pick random samples from the data for train test split indexes=dataframe.index.tolist() test_indices=random.sample(population=indexes,k=test_size) #now putting the values of train and test data into the respective df's test_dataframe=dataframe.loc[test_indices] cropped_dataframe=dataframe.drop(test_indices) train_dataframe=cropped_dataframe return train_dataframe,test_dataframe def minkowski(self,test_value,p): if(p==2): distance=np.sum((self.train_values - test_value)**2,axis=1) return distance elif(p==1): distance=np.sum(abs(self.train_values - test_value),axis=1) return distance def KNeighbors(self, k, test_value,p=2): neighbors=[] train_length=self.train_values.shape[0] if(p==2): distance=self.minkowski(test_value,p=2) elif(p==1): distance=self.minkowski(test_value,p=1) k_neighbors=np.argsort(distance) k_neighbors=k_neighbors[:k] return k_neighbors def find_majority(self, k_index): ans = Counter(self.train_labels[k_index]).most_common() return ans[0][0] def train(self, train_path): df=pd.read_csv(train_path,header=None) letters={"a":int(ord('a')),"b":int(ord('b')),"c":int(ord('c')),"d":int(ord('d')),"e":int(ord('e')),"f":int(ord('f')),"g":int(ord('g')),"h":int(ord('h')) ,"i":int(ord('i')),"j":int(ord('j')),"k":int(ord('k')),"l":int(ord('l')),"m":int(ord('m')),"n":int(ord('n')),"o":int(ord('o')),"p":int(ord('p')),"q":int(ord('q')),"r":int(ord('r')) ,"s":int(ord('s')),"t":int(ord('t')),"u":int(ord('u')),"v":int(ord('v')),"w":int(ord('w')),"x":int(ord('x')),"y":int(ord('y')),"z":int(ord('z'))} for column in df.columns: df[column]=df[column].replace(to_replace ="?",value =df[column].mode()[0]) for column in df.columns: df[column]=df[column].replace(to_replace=letters) df = df.apply(pd.to_numeric) train_df,val_df=self.train_test_split(df,0.3) train_digits=train_df.to_numpy() train_digits=np.array(train_digits) val_digits=val_df.to_numpy() val_digits=np.array(val_digits) self.train_values=train_digits[:,1:] self.train_labels=train_digits[:,0] self.val_values=val_digits[:,1:] self.val_labels=val_digits[:,0] def predict(self, test_path): df_test=pd.read_csv(test_path,header=None) letters={"a":int(ord('a')),"b":int(ord('b')),"c":int(ord('c')),"d":int(ord('d')),"e":int(ord('e')),"f":int(ord('f')),"g":int(ord('g')),"h":int(ord('h')) ,"i":int(ord('i')),"j":int(ord('j')),"k":int(ord('k')),"l":int(ord('l')),"m":int(ord('m')),"n":int(ord('n')),"o":int(ord('o')),"p":int(ord('p')),"q":int(ord('q')),"r":int(ord('r')) ,"s":int(ord('s')),"t":int(ord('t')),"u":int(ord('u')),"v":int(ord('v')),"w":int(ord('w')),"x":int(ord('x')),"y":int(ord('y')),"z":int(ord('z'))} for column in df_test.columns: df_test[column]=df_test[column].replace(to_replace ="?",value =df_test[column].mode()[0]) for column in df_test.columns: df_test[column]=df_test[column].replace(to_replace=letters) test_vals=df_test.to_numpy() test_vals=np.array(test_vals) prediction=[] length=test_vals.shape[0] for i in range(length): k_index=self.KNeighbors(5,test_vals[i]) result=self.find_majority(k_index) prediction.append(result) if i % 10 == 0: #print(chr(result)) predictions=[] for i in range(0,len(prediction)): predictions.append(chr(prediction[i])) return predictions if __name__ == '__main__': knn = KNNClassifier() knn.train("train.csv") preds = knn.predict("test.csv") print("Done Testing") df_labels=pd.read_csv("test_labels.csv", header=None) label_vals=df_labels.iloc[:, 0].to_numpy() label_vals=np.array(label_vals) #print(preds.shape) #print(label_vals.shape) preds=np.array(preds) acc = np.sum(preds == label_vals)/preds.shape[0] print(acc) # df_test_labels=pd.read_csv("test_labels.csv",header=None) # # In[254]: # for column in df_test_labels.columns: # df_test_labels[column]=df_test_labels[column].replace(to_replace=letters) # # In[255]: # test_vals=df_test.to_numpy() # test_vals=np.array(test_vals) # label_vals=df_test_labels.to_numpy() # label_vals=np.array(label_vals) # # In[256]: # def KNeighbors(k,train_values,train_labels,test_value): # neighbors=[] # train_length=train_values.shape[0] # distance=np.sum((train_values - test_value)**2,axis=1) # k_neighbors=np.argsort(distance) # k_neighbors=k_neighbors[:k] # return k_neighbors # # In[257]: # def find_majority(k_index,train_labels): # from collections import Counter # ans = Counter(train_labels[k_index]).most_common() # return ans[0][0] # # In[258]: # predictions=[] # length=test_vals.shape[0] # for i in range(length): # k_index=KNeighbors(6,train_values,train_labels,test_vals[i]) # result=find_majority(k_index,train_labels) # predictions.append(result) # predictions # # In[ ]: # # In[259]: # cnt=0 # for i in range(0,length): # if(predictions[i]==label_vals[i]): # cnt+=1 # print(cnt/label_vals.shape[0]) # # In[260]: # from sklearn.neighbors import KNeighborsClassifier # classifier=KNeighborsClassifier(n_neighbors=6,metric='minkowski',p=2) # classifier.fit(train_values,train_labels) # # In[261]: # y_pred=classifier.predict(test_vals) # # In[262]: # cnt=0 # for i in range(0,length): # if(y_pred[i]==label_vals[i]): # cnt+=1 # print(cnt/label_vals.shape[0]) # # In[281]: # from sklearn.metrics import confusion_matrix # y_pred=y_pred.reshape(1000,1)

[ "noreply@github.com" ]

noreply@github.com

864bc49ad51f2d4f534f07456b571d961588a63d

766ada1da22829e7a0e56dfe56139d75c68c0d1d

/traffic_simulation.py

bd62b43bc09c26954ef9decc567c516c894cdf98

[]

no_license

grizax/traffic-simulation

5f31341490058eaefe5b5db636f4deeadb220381

425ef24fed0164ee61037cd9d3b207cb208d00bf

refs/heads/master

2021-01-18T03:31:40.834686

2015-02-02T13:40:02

30,035,613

0

null

2015-01-29T18:52:01

null

UTF-8

Python

false

1,836

py

"""TO DO: Still needs a lot of work with matplotlib, stats, reporting, and ipython notebook""" import numpy as np import matplotlib.pyplot as plt from traffic.simulation import Simulation from traffic.road import Road from traffic.car import Car def multiple_simulations(num_simulations=100): output_car_speeds = np.array([]).reshape(0, 30) output_tracks = np.array(np.zeros((1, 1000))) for _ in range(num_simulations): track_results, car_speeds = one_simulation() output_car_speeds = np.vstack([output_car_speeds, [car_speeds]]) output_tracks = np.append(output_tracks, track_results, axis=0) output_tracks = np.delete(output_tracks, 0, 0) return output_tracks, output_car_speeds def one_simulation(time=60): car_list = car_factory() sim = Simulation() for _ in range(time): output = loop(car_list, sim) car_speeds = [car.speed for car in car_list] return output, car_speeds def loop(cars, simulation): the_road = Road() simulation.driving_rules(cars) simulation.car_collision(cars) simulation.drive_cars(the_road, cars) simulation.accelerate_cars(cars) return the_road.track def car_factory(car_fleet=30): car_list = [] counter = 33 for car in range(car_fleet): car = Car() car.location += counter car_list.append(car) counter += 33 return car_list def reporting(): track_results, speed = multiple_simulations() speed_mean = Simulation.metric_conversion(np.mean(speed)) speed_std = Simulation.metric_conversion(np.std(speed)) rec_speed = speed_mean + speed_std plotting(track_results) return rec_speed def plotting(track_results): x = track_results plt.imshow(x, cmap="binary_r", interpolation="gaussian") plt.show() reporting()

[ "ndbfoster@gmail.com" ]

ndbfoster@gmail.com

7bdb37872ffc8f66ece48618e51d91c6e015762c

d8e9a2dfedaace3b96a7a4c3d105c06950b52e3a

/profesores/admin.py

6a0b853bfda8230e3084aa45aac60fe562f2d11b

[]

no_license

HeribertoLara/DjangoTareaSem4

a55ee33427407564588a7933fd80ea1f2661859d

c3c0c50f8cf81c352603f803a727c2d201e90bd2

refs/heads/master

2023-01-20T03:28:14.173094

2020-12-02T05:05:10

315,838,590

0

null

UTF-8

Python

false

131

py

from django.contrib import admin from profesores.models import Profesor # Register your models here. admin.site.register(Profesor)

[ "ing.quimico.heriberto.lara@gmil.com" ]

ing.quimico.heriberto.lara@gmil.com

8c9c989a540b08b69f3d5efe25cb428555c4f3ac

f756d72da9a7a8b05399d7982ad83ab71170e3ce

/test_scraping.py

04dcbb7f21c523a5a0aa983b920849402b7cdba3

[]

no_license

polmuz/GoGetWeb

c0fddda946d3950fc606af3b1bd0148f88589723

36a369c648e61c953437a2d7ee1a8017d7bb5636

refs/heads/master

2021-01-15T15:25:54.672987

2016-08-22T21:22:45

63,362,626

1

0

null

UTF-8

Python

false

1,971

py

# -*- coding: utf-8 -*- import unittest from unittest.mock import patch, MagicMock from scraping import get_webpage_content, extract_xpaths, Not200Exception class TestGetWebpageContent(unittest.TestCase): @patch('scraping.requests.get') def test_base(self, requests_get_mock): expected_content = b'<h1>Chuck Norris</h1>' requests_get_mock.return_value = MagicMock( content=expected_content, status_code=200 ) content = get_webpage_content("http://test.url") self.assertEqual(expected_content, content) @patch('scraping.requests.get') def test_status_not_ok(self, requests_get_mock): requests_get_mock.return_value = MagicMock( content=b'Not Found', status_code=404 ) with self.assertRaises(Not200Exception): content = get_webpage_content("http://test.url") @patch('scraping.requests.get') def test_requests_exception(self, requests_get_mock): requests_get_mock.side_effect = Exception("Requests Exception!") with self.assertRaises(Exception): content = get_webpage_content("http://test.url") class TestExtractXpath(unittest.TestCase): def test_base(self): content = """ <html> <body> <h1>Title!</h1> <p>Bla</p> </body> </html> """ xpaths = { "title": "//h1" } extracted = extract_xpaths(content, xpaths) self.assertEqual(extracted, {"title": "Title!"}) def test_multiple_elements(self): content = """ <html> <body> <h1>Title!</h1> <p>Bla</p> <p>Ble</p> </body> </html> """ xpaths = { "description": "//p" } extracted = extract_xpaths(content, xpaths) self.assertEqual(extracted, {"description": "Bla\nBle"})

[ "pablomouzo@gmail.com" ]

pablomouzo@gmail.com

d50c94eacde9d6b5811b845d34524432308590f4

b7d4bd854e0052c6f7ee8b8a42fa1145de76a61f

/src/7_3/7_3_test.py

89c48b13edd8b0a319c02587782f62dc7ed53ce0

[]

no_license

WeslyG/labs

b22f61512293a2e00545b7ee02df1bf4a62961f1

976c06a3b2e10082638ae6b0cf55b8400fe2d4ab

refs/heads/master

2022-12-25T21:16:24.604494

2020-10-01T12:32:15

297,427,991

0

null

UTF-8

Python

false

207

py

#!/usr/bin/python3 # -*- coding: utf-8 -*- from s7_3 import number_is_even def test_s7_3(): assert number_is_even(7) is False assert number_is_even(6) is True assert number_is_even(0) is True

[ "weslyg22@gmail.com" ]

weslyg22@gmail.com

8046f0cbdb65b170b5dabaff186ad81fb6a24843

f3a73a2db52b9ec1b052d5f8de362991a19af1ba

/singletone_decorator.py

031b40a63e1ebe570022ea0cac4e4b52af249363

[]

no_license

mikaevnikita/python

ffc9fe9a295f3291379482d08f72bac8fd3d98c1

ddd7a4f51ad1d1433b41c7e58db2227f41d19400

refs/heads/master

2021-09-02T02:27:26.029084

2017-12-29T18:39:40

115,745,598

0

null

UTF-8

Python

false

327

py

import functools def singleton(cls): instance = None @functools.wraps(cls) def inner(*args,**kwargs): nonlocal instance if instance is None: instance = cls(*args,**kwargs) return instance return inner @singleton class Noop: pass a=Noop() b=Noop() print(id(a),id(b))

[ "n.v.mikaev@gmail.com" ]

n.v.mikaev@gmail.com

2b4c7736ef6d059602290437ae4a47765822bc7a

c247035975b8ca12eff9cfe8bac7c57402d1e728

/Unit10/T10.7.py

f0b0092787214e70119d976390273dd4cd573d7e

[]

no_license

xlxwalex/pythonew

cf896707a72cbb7fa44c8fa9e504e400628e3ddd

ff3601641f695ce01888518b970eccc457b4a238

refs/heads/master

2021-01-22T21:48:47.038598

2017-03-21T15:53:47

2017-03-21T15:54:22

85,477,387

9

3

null

UTF-8

Python

false

443

py

#10.7 import requests import bs4 import time def baiduclock(): tim=0 agent={'User-agent':'Mozilla/5.0'} timer=time.clock() while time.clock() - timer <= 30: print(time.clock() - timer) httpbaidu=requests.get('http://www.baidu.com',headers=agent) if httpbaidu.status_code == 200: tim+=1 else: print("30s内爬虫访问了百度{}次".format(tim)) baiduclock()

[ "xlxw@xlxw.org" ]

xlxw@xlxw.org

3d0f58b74138d3d783dd0a71510afd2354a9ac4e

243eddaee6dff4551da9c10f725d8828e13840ac

/get_premium/apps.py

d24dcc77204cd467ed804330c4f12a0a7f693080

[ "MIT" ]

permissive

BarunBlog/Link_People

46b0c2c141ae042b481893aee869977755790dc8

1ffd07bc5b31a715133c99efbbb478efe18d632b

refs/heads/master

2023-01-24T04:54:13.545951

2020-12-03T05:56:33

304,888,418

0

null

UTF-8

Python

false

96

py

from django.apps import AppConfig class GetPremiumConfig(AppConfig): name = 'get_premium'

[ "bhattacharjeebarun25@gmail.com" ]

bhattacharjeebarun25@gmail.com

ee4433ee5b0534fc569bbd443da946bf6e41e51e

93857d07c3391a1a10843bc67bb0b7ae93edca97

/Mysql_CodeGen.py

92e33cfa3392dc71a9dcf7d6ed9db329f2df3c01

[]

no_license

xumingxsh/Mysql_CodeGen

dffd3ff59f9b35c616fd85ab6296134333eb7293

4d43ad50cd994df2ba478a0695cda690460381b6

refs/heads/master

2021-01-10T01:20:43.885279

2016-02-28T12:47:52

52,719,962

3

1

null

UTF-8

Python

false

15,731

py

# 徐敏荣 # 2014-04-18 # 整理，重新编写 # 该代码主要实现从MySQL中读取数据库表结构，并自动生成某些有规律的代码 import MySQLdb from StringIO import StringIO from string import Template #表结构 class TableInfo: # 构造函数 def __init__(self): self.table_Name = "" # 数据表英文名称 self.table_Comment = "" # 数据表中文名称或相关注释 self.nameLower = "" # 所属用户 # 扩展表结构 class TableEx: def __init__(self): self.base = None # 表结构 self.columns = [] # 表的列集合 self.keys = [] # 表的主键集合 # 列结构 class ColumnInfo: # 构造函数 def __init__(self): self.table_Name = "" # 所属表名称 self.column_Name = "" # 列名称 self.data_Type = "" # 数据类型 self.column_Default = "" # 默认值 self.is_Nullable = "" # 是否允许为空 self.column_Comment = "" # 列中文名称或注释 self.charLen = None # 是否允许为空 self.len = None # 数据长度 self.isKey = 0 # 是否主键 self.extra = "" # 是否是自增字段 self.precision=None # 双精度 self.scale=None # # 表结构的SQL辅助类，主要用于生成SQL语句 class TableExForSQL: def __init__(self, tb): self.tb = tb # 使用的表 # 打印表结构信息 def show(self): print '%s\t%s' % (self.tb.base.table_Name, self.tb.base.table_Comment) print "---------------------------------------" for i in self.tb.columns: nullStr = "\t not null " if i.is_Nullable.lower() != 'no': nullStr = "" print '%s\t%s%s\t%s\t%s' % (i.column_Name, i.data_Type,self.getColumnLen(i),nullStr, i.column_Comment) # 打印列结构信息 # i-列结构 def columnSQL(self, column): nullStr = "\t not null " # 是否允许为空 if column.is_Nullable.lower() != 'no': nullStr = " " defStr = "\t default " # 默认值 if column.column_Default == '' or\ column.column_Default == None or \ column.column_Default == '0000-00-00 00:00:00': defStr = "" else: defStr += " " + column.column_Default + " " comStr = "" # 注释信息 if column.column_Comment != '' and column.column_Comment != None: comStr = "\t comment '" + column.column_Comment + "'" autoCreat = "" # 是否是自增字段 if column.extra == "auto_increment": autoCreat = "\t auto_increment " return '\t' + column.column_Name + '\t' + column.data_Type + self.getColumnLen(column) + nullStr + autoCreat + defStr + comStr # 数据库表创建语句 def createSQL(self): print "/*%s\t%s*/" % (self.tb.base.table_Name, self.tb.base.table_Comment) # 注释信息 print "create table %s\n(" % self.tb.base.table_Name # 打印列语句 for column in self.tb.columns: print self.columnSQL(column) + ',' # 打印主键语句 key = '' for i in self.tb.keys: if key != '': key += ',' key += i.column_Name key = '\tprimary key (' + key + ')' print key + "\n);\n" # 打印注释信息 if self.tb.base.table_Comment != '' and self.tb.base.table_Comment != None: print "alter table %s comment '%s';" % (self.tb.base.table_Name, self.tb.base.table_Comment) # 表移除SQL def dropSQL(self): print "drop table if exists %s;" % (self.tb.base.table_Name) # 单条记录查询 def getSQL(self): cls = "" for i in self.tb.columns: if cls != "\t": cls += "\n\t," cls += i.column_Name.lower() print "\tSelect " + cls + " From " + self.tb.base.table_Name # 添加列 def addColumns(self): for i in self.tb.columns: print "alter table %s add %d " % (self.tb.base.table_Name, self.column(i)) # 获得列长度 def getColumnLen(self, i): if i.data_Type == "decimal"\ or i.data_Type == "double" \ or i.data_Type == "float": if i.scale is None: return "(%d)"%(i.precision) else: return "(%d,%d)"%(i.precision, i.scale) if i.data_Type == "text": return '' if i.charLen != None and i.charLen != "": return '(%d)'%i.charLen return '' # 获得列数据类型 def getParamType_Java_MyBatis(self, i): if i.data_Type == "int"\ or i.data_Type == "decimal"\ or i.data_Type == "double" \ or i.data_Type == "smallint" \ or i.data_Type == "tinyint" \ or i.data_Type == "float": return "NUMERIC" if i.data_Type == "timestamp": return "TIME" return "VARCHAR" # 添加记录SQL(适用于mybatis) def insertSQL_Java_MyBatis(self): params = "" values = "" for i in self.tb.columns: if i.extra == "auto_increment" or\ i.column_Comment == "CURRENT_TIMESTAMP comment": continue if params != "": params += "\t, " else: params += "\t" params += i.column_Name.lower() + "\n" if values != "": values += "\t, " else: values += "\t" t = Template('#{${name},jdbcType=${type}}\n') values += t.substitute(name=i.column_Name.lower(), type=self.getParamType_Java_MyBatis(i)) print "\tInsert Into %s(\n%s\t) Values (\n%s\t)" % (self.tb.base.table_Name,params,values) # 编辑记录SQL(适用于mybatis) def updateSQL_Java_MyBatis(self): params = "" for i in self.tb.columns: if i.extra == "auto_increment" or i.column_Comment == "CURRENT_TIMESTAMP comment": continue if params != "": params += "\t, " else: params += "\t" t = Template('${name} = #{${name},jdbcType=${type}}\n') params += t.substitute(name=i.column_Name.lower(), type=self.getParamType_Java_MyBatis(i)) values = "" for i in self.tb.keys: if values != "": values += "\t, " else: values += "\t" t = Template('${name} = #{${name},jdbcType=${type}}\n') values += t.substitute(name=i.column_Name.lower(), type=self.getParamType(i)) print "\tUpdate %s SET \n%s\t Where %s " % (self.tb.base.table_Name, params, values) TableExForSQL.insertSQL = insertSQL_Java_MyBatis TableExForSQL.updateSQL = updateSQL_Java_MyBatis TableExForSQL.getParamType_Java_MyBatis = getParamType_Java_MyBatis class TableExForMapper: def __init__(self, tb): self.tb = tb self.sql = TableExForSQL(tb) def insert(self): print '<insert id="add" parameterType="' + self.tb.base.table_Name.capitalize() + 'PO">' self.sql.insertSQL() print '</insert>' def update(self): print '<update id="update" parameterType="' + self.tb.base.table_Name.capitalize() + 'PO">' self.sql.updateSQL() print '</update>' def selectList(self): print '<select id="getList" parameterType="' + self.tb.base.table_Name.capitalize() + \ 'QO" resultType="' + self.tb.base.table_Name.capitalize() + 'VO">' self.sql.getSQL() print "\t LIMIT #{recordStart, jdbcType=NUMERIC},#{rows, jdbcType=NUMERIC}" print '</select>' class TableExForJava: def __init__(self, tb): self.tb = tb def createPO(self): propertys = "" for i in self.tb.columns: typ = "String" if i.data_Type == "int": typ = "int" if i.data_Type == "timestamp": typ = "Date" if i.column_Comment != '' and i.column_Comment != None: print "\t/**" print "\t*" + i.column_Comment print "\t*/" print "\tprivate " + typ + " " + i.column_Name.lower() + ";" t = Template("\tpublic ${type} get ${nameU}() {\n" "\t\treturn this.${name};\n"\ "\t}\n\n"\ "\tpublic void set ${nameU}(${type} ${name}) {\n"\ "\t\tthis.${name} = ${name};\n"\ "\t}\n\n") #propertys += "\tpublic " + typ + " get" + i.column_Name.lower().capitalize() + "() {\n" #propertys += "\t\treturn this." + i.column_Name.lower() + ";\n" #propertys += "\t}\n\n" #propertys += "\tpublic void set" + i.column_Name.lower().capitalize() + "(" + typ + " " + i.column_Name.lower() + " ) {\n" #propertys += "\t\tthis." + i.column_Name.lower() + " = " + i.column_Name.lower() + ";\n" #propertys += "\t}\n\n" propertys = t.ssubstitute(type=typ, nameU=i.column_Name.lower().capitalize(), name=i.column_Name.lower()) print "" if i.data_Type != "timestamp": continue print "\tprivate String " + i.column_Name.lower() + "Str;" propertys += "\tpublic String get" + i.column_Name.lower().capitalize() + "Str() {\n" propertys += "\t\treturn TypeCommon.ConvertToString(this." + i.column_Name.lower() + ");\n" propertys += "\t}\n\n" print propertys def dataGridColums(self): for i in self.tb.columns: comment = i.column_Name if i.column_Comment != '' and i.column_Comment != None: comment = i.column_Comment print '\t\t <th field="' + i.column_Name.lower() + '" width="100px">' + comment + '</th>' class DBGencode: def __init__(self, host, port, db, user, pwd): self.host = host self.port = port self.user = user self.pwd = pwd self.db = db self.con = MySQLdb.connect(host=self.host,port=self.port,\ db='information_schema',user=self.user,passwd=self.pwd,\ charset="gbk") cur = self.con.cursor() cur.execute("select table_Name, table_Comment from tables where TABLE_SCHEMA='" + self.db + "'") self.tables=[] self.tableExs=[] self.columns=[] for i in cur.fetchall(): t = TableInfo() t.table_Name = i[0] t.nameLower = t.table_Name.lower() arr = i[1].split(";") if len(arr) > 1: t.table_Comment = arr[0] else: t.table_Comment = "" self.tables.append(t) cur.execute("select Table_Name, Column_Name," \ + "Data_Type,Column_Default,Is_Nullable,Column_Comment,"\ "CHARACTER_MAXIMUM_LENGTH, COLUMN_KEY, extra,NUMERIC_PRECISION,NUMERIC_SCALE from COLUMNS where TABLE_SCHEMA='"\ + self.db + "' ") for i in cur.fetchall(): c = ColumnInfo() c.table_Name = i[0] c.column_Name = i[1] c.data_Type = i[2] c.column_Default = i[3] c.is_Nullable = i[4] c.column_Comment = i[5] c.charLen = i[6] if i[7] == 'PRI': c.isKey = 1 c.extra = i[8] c.precision = i[9] c.scale = i[10] self.columns.append(c) for i in self.tables: tb = TableEx() tb.base = i for it in self.columns: if it.table_Name.lower() != i.table_Name.lower(): continue tb.columns.append(it) if it.isKey == 1: tb.keys.append(it) self.tableExs.append(tb) def showTables(self): for i in self.tables: #print str(i) print '%s\t%s' % (i.table_Name, i.table_Comment) #print i.table_Comment def showColumns(self): for i in self.columns: print '%s\t%s\t%s' % (i.column_Name, i.data_Type,i.column_Comment) def getTable(self, name): nameLw = name.lower() for i in self.tableExs: if i.base.nameLower == nameLw: return i return None def showTable(self, name): tb = self.getTable(name) if tb == None: print u"没有查找到数据库表：" + name return sql = TableExForSQL(tb) sql.show() def showDataBase(self): for i in self.tableExs: sql = TableExForSQL(i) sql.show() print "" print "" def showCreateSQLs(self): for i in self.tableExs: sql = TableExForSQL(i) sql.createSQL() print "" print "" def dropSQLs(self): for i in self.tableExs: sql = TableExForSQL(i) sql.dropSQL() def insertSQLs(self): for i in self.tableExs: sql = TableExForSQL(i) print "" print "" sql.insertSQL() def updateSQLs(self): for i in self.tableExs: sql = TableExForSQL(i) print "" print "" sql.updateSQL() def sqls(self): for i in self.tableExs: sql = TableExForSQL(i) print "" print i.base.table_Name print "----------------------------" print u"添加语句" sql.insertSQL() print "" print u"更新语句" sql.updateSQL() print "" print u"查询语句" sql.getSQL() print "" print u"添加列" sql.addColumns() def insertXMLs(self): for i in self.tableExs: mapper = TableExForMapper(i) print "" print "" mapper.insert() def updateXMLs(self): for i in self.tableExs: mapper = TableExForMapper(i) print "" print "" mapper.update() def XMLs(self): for i in self.tableExs: mapper = TableExForMapper(i) print "" print i.base.table_Name print "----------------------------" print u"添加语句" mapper.insert() print "" print u"更新语句" mapper.update() print "" print u"查询语句" mapper.selectList() def javas(self): for i in self.tableExs: jv = TableExForJava(i) print "" print i.base.table_Name print "----------------------------" print u"PO属性" jv.createPO() print "" print u"列表列" jv.dataGridColums() def createSQLs(self): for i in seinsertSQLslf.tableExs: sql = TableExForSQL(i) mylookup = TemplateLookup(directories=['docs'],\ module_directory='tmp/mako_modules', collection_size=500, output_encoding='utf-8', encoding_errors='replace') mytemplate = mylookup.get_template('createSQL.sql') print mytemplate.render(table=i, tb=i.base, sql=sql) code=DBGencode("127.0.0.1", 3306, "ivsm", "root", "root") code.insertSQLs() code.showCreateSQLs()

[ "xumingxsh21@126.com" ]

xumingxsh21@126.com

b8992e4670a1ea151e7a9491438ccf75e9e869fb

accf5e4bb9b0d0b0fe2a1ef900fcb9c726f664ba

/Network/MixAttNet.py

c142ac0ad2bf20b933716f7501d4068ada17799e

[]

no_license

pdedumast/FetalCPSeg

43eab35dc3379e69818fa9e203f83442e4a4e8c6

713dc1b88ed42e4e5cdbc5b876449660e533cccb

refs/heads/master

2022-11-19T20:47:29.161663

2020-07-28T09:43:23

null

0

null

UTF-8

Python

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6,306

py

import torch from torch import nn from torch.nn import functional as F def convolution_block(in_chan, out_chan, ksize=3, pad=1, stride=1, bias=False): """ Convolution Block Convolution + Normalization + NonLinear """ return nn.Sequential( nn.Conv3d(in_chan, out_chan, kernel_size=ksize, padding=pad, stride=stride, bias=bias), nn.BatchNorm3d(out_chan), nn.PReLU() ) def up_sample3d(x, t, mode="trilinear"): """ 3D Up Sampling """ return F.interpolate(x, t.size()[2:], mode=mode, align_corners=False) class ResStage(nn.Module): """ 3D Res stage """ def __init__(self, in_chan, out_chan, stride=1): super(ResStage, self).__init__() self.conv1 = convolution_block(in_chan, out_chan, stride=stride) self.conv2 = nn.Sequential( nn.Conv3d(out_chan, out_chan, kernel_size=3, padding=1), nn.BatchNorm3d(out_chan) ) self.non_linear = nn.PReLU() self.down_sample = nn.Sequential( nn.Conv3d(in_chan, out_chan, kernel_size=1, stride=stride, bias=False), nn.BatchNorm3d(out_chan)) def forward(self, x): out = self.conv2(self.conv1(x)) shortcut = self.down_sample(x) out = self.non_linear(out + shortcut) return out def down_stage(in_chan, out_chan): return nn.Sequential( nn.Conv3d(in_chan, out_chan, kernel_size=1, bias=False), nn.BatchNorm3d(out_chan), nn.PReLU() ) class MixBlock(nn.Module): def __init__(self, in_chan, out_chan): super(MixBlock, self).__init__() self.conv1 = nn.Conv3d(in_chan, out_chan // 4, 3, padding=1, bias=False) self.conv3 = nn.Conv3d(in_chan, out_chan // 4, 5, padding=2, bias=False) self.conv5 = nn.Conv3d(in_chan, out_chan // 4, 7, padding=3, bias=False) self.conv7 = nn.Conv3d(in_chan, out_chan // 4, 9, padding=4, bias=False) self.bn1 = nn.BatchNorm3d(out_chan // 4) self.bn3 = nn.BatchNorm3d(out_chan // 4) self.bn5 = nn.BatchNorm3d(out_chan // 4) self.bn7 = nn.BatchNorm3d(out_chan // 4) self.nonlinear = nn.PReLU() def forward(self, x): k1 = self.bn1(self.conv1(x)) k3 = self.bn3(self.conv3(x)) k5 = self.bn5(self.conv5(x)) k7 = self.bn7(self.conv7(x)) return self.nonlinear(torch.cat((k1, k3, k5, k7), dim=1)) class Attention(nn.Module): def __init__(self, in_chan, out_chan): super(Attention, self).__init__() self.mix1 = MixBlock(in_chan, out_chan) self.conv1 = nn.Conv3d(out_chan, out_chan, kernel_size=1) self.mix2 = MixBlock(out_chan, out_chan) self.conv2 = nn.Conv3d(out_chan, out_chan, kernel_size=1) self.norm1 = nn.BatchNorm3d(out_chan) self.norm2 = nn.BatchNorm3d(out_chan) self.relu = nn.PReLU() def forward(self, x): shortcut = x mix1 = self.conv1(self.mix1(x)) mix2 = self.mix2(mix1) att_map = F.sigmoid(self.conv2(mix2)) out = self.norm1(x*att_map) + self.norm2(shortcut) return self.relu(out), att_map def out_stage(in_chan, out_chan): return nn.Sequential( nn.Conv3d(in_chan, out_chan, kernel_size=3, padding=1), nn.BatchNorm3d(out_chan), nn.PReLU(), nn.Conv3d(out_chan, 1, kernel_size=1) ) class MixAttNet(nn.Module): def __init__(self): super(MixAttNet, self).__init__() self.init_block = convolution_block(1, 16) self.enc1 = ResStage(16, 16, 1) self.enc2 = ResStage(16, 32, 2) self.enc3 = ResStage(32, 64, 2) self.enc4 = ResStage(64, 128, 2) self.enc5 = ResStage(128, 128, 2) self.dec4 = ResStage(128+128, 64) self.dec3 = ResStage(64+64, 32) self.dec2 = ResStage(32+32, 16) self.dec1 = ResStage(16+16, 16) self.down4 = down_stage(64, 16) self.down3 = down_stage(32, 16) self.down2 = down_stage(16, 16) self.down1 = down_stage(16, 16) self.mix1 = Attention(16, 16) self.mix2 = Attention(16, 16) self.mix3 = Attention(16, 16) self.mix4 = Attention(16, 16) self.mix_out1 = nn.Conv3d(16, 1, kernel_size=1) self.mix_out2 = nn.Conv3d(16, 1, kernel_size=1) self.mix_out3 = nn.Conv3d(16, 1, kernel_size=1) self.mix_out4 = nn.Conv3d(16, 1, kernel_size=1) self.down_out1 = nn.Conv3d(16, 1, kernel_size=1) self.down_out2 = nn.Conv3d(16, 1, kernel_size=1) self.down_out3 = nn.Conv3d(16, 1, kernel_size=1) self.down_out4 = nn.Conv3d(16, 1, kernel_size=1) self.out = out_stage(16*4, 64) def forward(self, x): x = self.init_block(x) enc1 = self.enc1(x) enc2 = self.enc2(enc1) enc3 = self.enc3(enc2) enc4 = self.enc4(enc3) enc5 = self.enc5(enc4) dec4 = self.dec4( torch.cat((enc4, up_sample3d(enc5, enc4)), dim=1)) dec3 = self.dec3( torch.cat((enc3, up_sample3d(dec4, enc3)), dim=1)) dec2 = self.dec2( torch.cat((enc2, up_sample3d(dec3, enc2)), dim=1)) dec1 = self.dec1( torch.cat((enc1, up_sample3d(dec2, enc1)), dim=1)) down1 = up_sample3d(self.down1(dec1), x) down4 = up_sample3d(self.down4(dec4), x) down3 = up_sample3d(self.down3(dec3), x) down2 = up_sample3d(self.down2(dec2), x) down_out1 = self.down_out1(down1) down_out2 = self.down_out2(down2) down_out3 = self.down_out3(down3) down_out4 = self.down_out4(down4) mix1, att1 = self.mix1(down1) mix2, att2 = self.mix2(down2) mix3, att3 = self.mix3(down3) mix4, att4 = self.mix4(down4) mix_out1 = self.mix_out1(mix1) mix_out2 = self.mix_out2(mix2) mix_out3 = self.mix_out3(mix3) mix_out4 = self.mix_out4(mix4) out = self.out(torch.cat((mix1, mix2, mix3, mix4), dim=1)) if self.training: return out, mix_out1, mix_out2, mix_out3, mix_out4, down_out1, down_out2, down_out3, down_out4 else: return torch.sigmoid(out) if __name__ == '__main__': net = MixAttNet().cuda() torch.save(net.state_dict(), "MixAttNet.pth.gz")

[ "noreply@github.com" ]

noreply@github.com

2e6274aeecb4abc551445e441ed62ced40c33285

6ae058253aeff9ee9d4a166bab1c6898fb2fa042

/hackerrank/artificial-intelligence/document-classification/document-classification.py

d58f437f054a7f3600a34b2252cff4f05a152261

[ "MIT" ]

permissive

gnuaha7/programming-problems

054136b840a8323ca6d5c20e579dc63e19543138

3ed43b306c19718f00bf77ed191e7a3f2ba8da57

refs/heads/master

2021-01-11T02:56:34.788550

2016-09-04T19:38:53

70,878,741

0

null

2016-10-14T06:00:42

null

UTF-8

Python

false

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py

# https://www.hackerrank.com/challenges/document-classification import sys import numpy as np from sklearn.pipeline import Pipeline from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.linear_model import SGDClassifier from sklearn.cross_validation import cross_val_score def load_corpus(f, has_classes=True): num_docs = int(f.readline()) corpus = ([], []) for i in range(num_docs): line = f.readline() if has_classes: i = line.find(' ') class_ = int(line[:i]) doc = line[i+1:] corpus[1].append(class_) else: doc = line corpus[0].append(doc) return corpus def train_classifier(corpus): model = Pipeline([ ('tfidf', TfidfVectorizer(stop_words='english')), ('classifier', SGDClassifier(loss='log', penalty='none', n_iter=100)), ]) # scores = cross_val_score(model, corpus[0], corpus[1], cv=10, n_jobs=-1) # print('CV score:', np.mean(scores)) model.fit(corpus[0], corpus[1]) return model if __name__ == '__main__': np.random.seed(sum(map(ord, 'document-classification'))) with open('trainingdata.txt') as f: training_data = load_corpus(f, has_classes=True) classifier = train_classifier(training_data) test_data = load_corpus(sys.stdin, has_classes=False) classes = classifier.predict(test_data[0]) print('\n'.join(str(class_) for class_ in classes))

[ "yasserglez@gmail.com" ]

yasserglez@gmail.com

c7e4005fc61db2b565fdd6d8e80b1c661ea470d3

94bd08e95ae0c31973f500a7bab3aa5378f7ec7b

/snippets/migrations/0003_auto_20190429_0033.py

8228906cde11f126db33ecf58304050ad10be0a8

[]

no_license

freddiemo/django_rest_framework_3_sample

eec2f3315e9c79ca3af6aa39423337606eb3aca8

ca299957f8a7e666c31d71be74028e18392f65dc

refs/heads/master

2020-05-17T03:14:45.963863

2019-04-29T17:23:27

183,473,375

0

null

UTF-8

Python

false

378

py

# Generated by Django 2.2 on 2019-04-29 00:33 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('snippets', '0002_auto_20190429_0026'), ] operations = [ migrations.AlterField( model_name='snippet', name='highlighted', field=models.TextField(), ), ]

[ "freddiejmo@gmail.com" ]

freddiejmo@gmail.com

afa9a1d0944e4af29df98932dd9113870175e138

3ac0a169aa2a123e164f7434281bc9dd6373d341

/singleNumber.py

4a7b92101b0350685936c92368994f2cf80679bc

[]

no_license

sfeng77/myleetcode

02a028b5ca5a0354e99b8fb758883902a768f410

a2841fdb624548fdc6ef430e23ca46f3300e0558

refs/heads/master

2021-01-23T02:06:37.569936

2017-04-21T20:31:06

85,967,955

1

0

null

UTF-8

Python

false

208

py

class Solution(object): def singleNumber(self, nums): """ :type nums: List[int] :rtype: int """ s = 0 for v in nums: s = s ^ v return s

[ "sfeng77@gmail.com" ]

sfeng77@gmail.com

d8756586064d46abf0b01f2f255a4408170c98ca

9e988c0dfbea15cd23a3de860cb0c88c3dcdbd97

/sdBs/AllRun/galex_j19485-4225/sdB_GALEX_J19485-4225_lc.py

ad5e79f01dd4bec1f067eebd2a8c3dee9507a2f5

[]

no_license

tboudreaux/SummerSTScICode

73b2e5839b10c0bf733808f4316d34be91c5a3bd

4dd1ffbb09e0a599257d21872f9d62b5420028b0

refs/heads/master

2021-01-20T18:07:44.723496

2016-08-08T16:49:53

65,221,159

0

null

UTF-8

Python

false

359

py

from gPhoton.gAperture import gAperture def main(): gAperture(band="NUV", skypos=[297.137792,-42.429325], stepsz=30., csvfile="/data2/fleming/GPHOTON_OUTPU/LIGHTCURVES/sdBs/sdB_GALEX_J19485-4225 /sdB_GALEX_J19485-4225_lc.csv", maxgap=1000., overwrite=True, radius=0.00555556, annulus=[0.005972227,0.0103888972], verbose=3) if __name__ == "__main__": main()

[ "thomas@boudreauxmail.com" ]

thomas@boudreauxmail.com

36ff37b0f61328d72dfe6e5c252ff5a249ce364e

4c3d19edd4e7e6325fd131134a28f5e0e78e1221

/accounts/user/registration.py

510bfe1fe853619048311613240ddecd78d0acf9

[]

no_license

carpancan/producthunt

1e8e6e0793e24d049a5a95f84341fe0d977bbc79

ee51d0d6bf26f34dd4849c26603e9d0c43e45c54

refs/heads/master

2023-05-03T23:52:16.889611

2022-02-10T10:49:13

234,498,693

0

null

2023-04-21T20:44:59

2020-01-17T07:51:30

HTML

UTF-8

Python

false

1,560

py

from django.contrib.auth.models import User from .exceptions import CustomExceptions class Register: __new_user_dto = None def create_user(self, new_user_dto): self.__initialize(new_user_dto) self.__check_if_user_exists() return self.__persist_user() def __initialize(self, new_user_dto): self.__new_user_dto = new_user_dto def __check_if_user_exists(self): try: User.objects.get(username=self.__new_user_dto.get_username()) raise CustomExceptions.UserExistsException('User already in use') except User.DoesNotExist as exception: return False def __persist_user(self): return User.objects.create_user( username=self.__new_user_dto.get_username(), password=self.__new_user_dto.get_password() ) class NewUserDto: __register_data = None def __init__(self, request): self.__initialize(request) def __initialize(self, request): self.__register_data = self.__prepare_register_data(request) def __prepare_register_data(self, request): data = {} for item, value in request.items(): if 'csrfmiddlewaretoken' in item: continue data[item] = value return data def get_username(self): return self.__register_data.get('username') def get_password(self): return self.__register_data.get('password') def get_password_confirm(self): return self.__register_data.get('password_confirm')

[ "carlos.paniagua@sngular.team" ]

carlos.paniagua@sngular.team

ecc65f736adcdf7ef2646a8f02c86e70de9ca226

1528b9eff25b03adf3c24229d08555aeaea5ac2b

/Client/Libraries/__init__.py

eb5d1888bc5f5b22e95fdccb22debe6f4fd1fcf0

[]

no_license

Erez-Atir/Kahoot

b0cb40c0fefa86af6668a00be48807314955aa05

7fe5ba5df7e1ce0a7d10a6e84049b94043e2d42b

refs/heads/master

2021-08-17T02:13:32.473433

2020-05-24T19:39:58

184,925,432

0

2

null

UTF-8

Python

false

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IP = None my_socket = None import os import sys sys.path.insert(0, os.getcwd()+'/files') sys.dont_write_bytecode = True import ServerDitection import socket import pygame import textbox import subprocess RED = (204, 0, 0) WHITE = (255, 255, 255) BLACK = (0, 0, 0) GREEN = (0, 153, 0) BLUE = (53, 119, 252) PURPLE = (176, 71, 246) GREY = (85, 77, 77) ORANGE = (255, 181, 30) def resfix(x=None, y=None): """ :param x: the x coordinate or a Pygame image. If sent None means only y need a conversion :param y: the y coordinate. can be not sent for only x conversion. :return: The new coordinates on the new screen with the same proportions. Tuple for (x,y). int for only one number. """ global WIDTH, HEIGHT if x is not None: if type(x) == type(42): if y is not None: return int(x/1500.*WIDTH), int(y/800.*HEIGHT) return int(x/1500.*WIDTH) else: sizee = x.get_rect().size return if y is not None: return int(y/800.*HEIGHT) return None if True: IP = ServerDitection.server_scout() if IP: my_socket = socket.socket() my_socket.connect((IP, 23)) else: screen = pygame.display.set_mode((1500, 800)) WIDTH, HEIGHT = pygame.display.Info().current_w, pygame.display.Info().current_h pygame.display.set_caption("Kaboot") screen.fill(PURPLE) a = textbox.OutputBox(screen=screen, text="No Game\nRunning!", size=resfix(650, 750), place=resfix(825, 0), color=None, border_width=0, border_color=None, text_color=RED, font="files\\montserrat\\Montserrat-Black.otf") b = textbox.OutputBox(screen=screen, text="Ask your teacher to run a game and then try again", size=resfix(650, 750), place=resfix(825, 0), color=None, border_width=0, border_color=None, text_color=BLACK, font="files\\montserrat\\Montserrat-Black.otf") c = textbox.OutputBox(screen=screen, text=" EXIT ", size=resfix(310, 100), place=resfix((825+(825+650))/2-310/2, 600), color=WHITE, border_width=0, border_color=BLACK, text_color=BLACK, font="files\\montserrat\\Montserrat-Black.otf") img = pygame.transform.scale(pygame.image.load("files\\sadog.jpg"), (int(WIDTH*1.066), HEIGHT)) finish = False while not finish: mouse = pygame.mouse.get_pos() for event in pygame.event.get(): if event.type == pygame.QUIT:#user presses the X exit() if event.type == pygame.KEYDOWN: # If pressed key is ESC quit program if event.key == pygame.K_ESCAPE: exit() if resfix((825+(825+650))/2-310/2+310) > mouse[0] > resfix((825+(825+650))/2-310/2) and resfix(None, 600+100) > mouse[1] > resfix(None, 600): c.border_width = 5 if pygame.mouse.get_pressed()[0]: sys.exit() else: c.border_width = 0 screen.blit(img, (0, 0)) a.draw() b.draw() c.draw() pygame.display.flip()

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# coding=utf-8 # Copyright 2021 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Common utility functions.""" import collections from absl import logging import numpy as np from rl_metrics_aaai2021 import bisimulation from rl_metrics_aaai2021 import d_delta from rl_metrics_aaai2021 import d_delta_star from rl_metrics_aaai2021 import discrete_bisimulation from rl_metrics_aaai2021 import discrete_lax_bisimulation from rl_metrics_aaai2021 import lax_bisimulation MetricData = collections.namedtuple('metric_data', ['constructor', 'label']) MDPStats = collections.namedtuple( 'MDPStats', ['time', 'num_iterations', 'min_gap', 'avg_gap', 'max_gap']) # Dictionary mapping metric name to constructor and LaTeX label. METRICS = { 'bisimulation': MetricData(bisimulation.Bisimulation, r'$d^{\sim}$'), 'discrete_bisimulation': MetricData(discrete_bisimulation.DiscreteBisimulation, r'$e^{\sim}$'), 'lax_bisimulation': MetricData(lax_bisimulation.LaxBisimulation, r'$d^{\sim_{lax}}$'), 'discrete_lax_bisimulation': MetricData(discrete_lax_bisimulation.DiscreteLaxBisimulation, r'$e^{\sim_{lax}}$'), 'd_delta_1': MetricData(d_delta.DDelta1, r'$d_{\Delta1}$'), 'd_delta_5': MetricData(d_delta.DDelta5, r'$d_{\Delta5}$'), 'd_delta_10': MetricData(d_delta.DDelta10, r'$d_{\Delta10}$'), 'd_delta_15': MetricData(d_delta.DDelta15, r'$d_{\Delta15}$'), 'd_delta_20': MetricData(d_delta.DDelta20, r'$d_{\Delta20}$'), 'd_delta_50': MetricData(d_delta.DDelta50, r'$d_{\Delta50}$'), 'd_delta_100': MetricData(d_delta.DDelta100, r'$d_{\Delta100}$'), 'd_delta_500': MetricData(d_delta.DDelta500, r'$d_{\Delta500}$'), 'd_delta_1000': MetricData(d_delta.DDelta1000, r'$d_{\Delta1000}$'), 'd_delta_5000': MetricData(d_delta.DDelta5000, r'$d_{\Delta5000}$'), 'd_Delta_star': MetricData(d_delta_star.DDeltaStar, r'$d_{\Delta^*}$'), } def value_iteration(env, tolerance, verbose=False): """Run value iteration on env. Args: env: a MiniGrid environment, including the MDPWrapper. tolerance: float, error tolerance used to exit loop. verbose: bool, whether to print verbose messages. Returns: Numpy array with V* and Q*. """ values = np.zeros(env.num_states) q_values = np.zeros((env.num_states, env.num_actions)) error = tolerance * 2 i = 0 while error > tolerance: new_values = np.copy(values) for s in range(env.num_states): for a in range(env.num_actions): q_values[s, a] = ( env.rewards[s, a] + env.gamma * np.matmul(env.transition_probs[s, a, :], values)) new_values[s] = np.max(q_values[s, :]) error = np.max(abs(new_values - values)) values = new_values i += 1 if i % 1000 == 0 and verbose: logging.info('Error after %d iterations: %f', i, error) if verbose: logging.info('Found V* in %d iterations', i) logging.info(values) return values, q_values def q_value_iteration(env, tolerance): """Run q value iteration on env. Args: env: a MiniGrid environment, including the MDPWrapper. tolerance: float, error tolerance used to exit loop. Returns: Numpy array with V* and Q*. """ q_values = np.zeros((env.num_states, env.num_actions)) error = tolerance * 2 i = 0 while error > tolerance: for s in range(env.num_states): for a in range(env.num_actions): old_q_values = np.copy(q_values[s, a]) q_values[s, a] = ( env.rewards[s, a] + env.gamma * np.matmul(env.transition_probs[s, a, :], np.max(q_values, axis=1))) error = np.max(abs(old_q_values - q_values[s, a])) i += 1 return q_values def policy_iteration(env, tolerance, verbose=False): """Run policy iteration on env. Args: env: a MiniGrid environment, including the MDPWrapper. tolerance: float, evaluation stops when the value function change is less than the tolerance. verbose: bool, whether to print verbose messages. Returns: Numpy array with V* """ values = np.zeros(env.num_states) # Random policy policy = np.ones((env.num_states, env.num_actions)) / env.num_actions policy_stable = False i = 0 while not policy_stable: # Policy evaluation while True: delta = 0. for s in range(env.num_states): v = np.sum(env.rewards[s, :] * policy[s, :] + env.gamma * policy[s, :] * np.matmul(env.transition_probs[s, :, :], values)) delta = max(delta, abs(v - values[s])) values[s] = v if delta < tolerance: break # Policy improvement policy_stable = True for s in range(env.num_states): old = policy[s].copy() g = np.zeros(env.num_actions, dtype=float) for a in range(env.num_actions): g[a] = ( env.rewards[s, a] + env.gamma * np.matmul(env.transition_probs[s, a, :], values)) greed_actions = np.argwhere(g == np.amax(g)) for a in range(env.num_actions): if a in greed_actions: policy[s, a] = 1 / len(greed_actions) else: policy[s, a] = 0 if not np.array_equal(policy[s], old): policy_stable = False i += 1 if i % 1000 == 0 and verbose: logging.info('Error after %d iterations: %f', i, delta) if verbose: logging.info('Found V* in %d iterations', i) logging.info(values) return values def q_policy_iteration(env, tolerance, verbose=False): """Run policy iteration on env. Args: env: a MiniGrid environment, including the MDPWrapper. tolerance: float, evaluation stops when the value function change is less than the tolerance. verbose: bool, whether to print verbose messages. Returns: Numpy array with V* """ q_values = np.zeros((env.num_states, env.num_actions)) # Random policy policy = np.ones((env.num_states, env.num_actions)) / env.num_actions policy_stable = False i = 0 while not policy_stable: # Policy evaluation while True: delta = 0. for s in range(env.num_states): v = env.rewards[s, :] + env.gamma * np.matmul( env.transition_probs[s, :, :], np.sum(q_values * policy, axis=1)) delta = max(delta, np.max(abs(v- q_values[s]))) q_values[s] = v if delta < tolerance: break # Policy improvement policy_stable = True for s in range(env.num_states): old = policy[s].copy() greedy_actions = np.argwhere(q_values[s] == np.amax(q_values[s])) for a in range(env.num_actions): if a in greedy_actions: policy[s, a] = 1 / len(greedy_actions) else: policy[s, a] = 0 if not np.array_equal(policy[s], old): policy_stable = False i += 1 if i % 1000 == 0 and verbose: logging.info('Error after %d iterations: %f', i, delta) if verbose: logging.info('Found V* in %d iterations', i) logging.info(q_values) return q_values

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copybara-worker@google.com

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freekode1ko/DataScienceJourney

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2020-04-20T22:27:24.910331

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import os import pandas as pd import numpy as np from lib.util import timeit, Config from lib.read import read_df from lib.preprocess import preprocess from lib.model import train, predict, validate from typing import Optional class AutoML: def __init__(self, model_dir: str): os.makedirs(model_dir, exist_ok=True) self.config = Config(model_dir) def train(self, train_csv: str, mode: str): self.config["task"] = "train" self.config["mode"] = mode self.config.tmp_dir = self.config.model_dir + "/tmp" os.makedirs(self.config.tmp_dir, exist_ok=True) df = read_df(train_csv, self.config) preprocess(df, self.config) y = df["target"] X = df.drop("target", axis=1) train(X, y, self.config) def predict(self, test_csv: str, prediction_csv: str) -> (pd.DataFrame, Optional[np.float64]): self.config["task"] = "predict" self.config.tmp_dir = os.path.dirname(prediction_csv) + "/tmp" os.makedirs(self.config.tmp_dir, exist_ok=True) result = { "line_id": [], "prediction": [], } for X in pd.read_csv( test_csv, encoding="utf-8", low_memory=False, dtype=self.config["dtype"], parse_dates=self.config["parse_dates"], chunksize=self.config["nrows"] ): result["line_id"] += list(X["line_id"]) preprocess(X, self.config) result["prediction"] += list(predict(X, self.config)) result = pd.DataFrame(result) result.to_csv(prediction_csv, index=False) target_csv = test_csv.replace("test", "test-target") if os.path.exists(target_csv): score = validate(result, target_csv, self.config["mode"]) else: score = None return result, score @timeit def save(self): self.config.save() @timeit def load(self): self.config.load()

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noreply@github.com

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/CodeWars/GreatestWarrior.py

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[]

no_license

dianayuying/Python

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""" Create a class called Warrior which calculates and keeps track of their level and skills, and ranks them as the warrior they've proven to be. Business Rules: A warrior starts at level 1 and can progress all the way to 100. A warrior starts at rank "Pushover" and can progress all the way to "Greatest". The only acceptable range of rank values is "Pushover", "Novice", "Fighter", "Warrior", "Veteran", "Sage", "Elite", "Conqueror", "Champion", "Master", "Greatest". Warriors will compete in battles. Battles will always accept an enemy level to match against your own. With each battle successfully finished, your warrior's experience is updated based on the enemy's level. The experience earned from the battle is relative to what the warrior's current level is compared to the level of the enemy. A warrior's experience starts from 100. Each time the warrior's experience increases by another 100, the warrior's level rises to the next level. A warrior's experience is cumulative, and does not reset with each rise of level. The only exception is when the warrior reaches level 100, with which the experience stops at 10000 At every 10 levels, your warrior will reach a new rank tier. (ex. levels 1-9 falls within "Pushover" tier, levels 80-89 fall within "Champion" tier, etc.) A warrior cannot progress beyond level 100 and rank "Greatest". Battle Progress Rules & Calculations: If an enemy level does not fall in the range of 1 to 100, the battle cannot happen and should return "Invalid level". Completing a battle against an enemy with the same level as your warrior will be worth 10 experience points. Completing a battle against an enemy who is one level lower than your warrior will be worth 5 experience points. Completing a battle against an enemy who is two levels lower or more than your warrior will give 0 experience points. Completing a battle against an enemy who is one level higher or more than your warrior will accelarate your experience gaining. The greater the difference between levels, the more experinece your warrior will gain. The formula is 20 * diff * diff where diff equals the difference in levels between the enemy and your warrior. However, if your warrior is at least one rank lower than your enemy, and at least 5 levels lower, your warrior cannot fight against an enemy that strong and must instead return "You've been defeated". Every successful battle will also return one of three responses: "Easy fight", "A good fight", "An intense fight". Return "Easy fight" if your warrior is 2 or more levels higher than your enemy's level. Return "A good fight" if your warrior is either 1 level higher or equal to your enemy's level. Return "An intense fight" if your warrior's level is lower than the enemy's level. """ class Warrior(): ranking = {0:"Pushover",1:"Novice",2:"Fighter",3:"Warrior",4:"Veteran", 5:"Sage",6:"Elite",7:"Conqueror", 8:"Champion", 9:"Master", 10:"Greatest"} def __init__(self): self.level = 1 self.rank = "Pushover" self.experience = 100 self.achievements=[] def training(self, desc_list): if desc_list[2]>self.level: return "Not strong enough" else: self.achievements.append(desc_list[0]) if self.experience+desc_list[1]>10000: self.experience=10000 else: self.experience +=desc_list[1] self.level=int(self.experience/100) self.rank=Warrior.ranking[int(self.level/10)] return desc_list[0] def battle(self, n): if n<1 or n>100: return "Invalid level" else: diff = n-self.level if n==self.level: self.experience +=10 elif n==self.level-1: self.experience +=5 elif n>self.level: if n>=self.level+5 and int(n/10)>=int(self.level/10)+1: return "You've been defeated" else: self.experience += 20*((n-self.level)**2) if self.experience>10000: self.experience=10000 self.level=int(self.experience/100) self.rank=Warrior.ranking[int(self.level/10)] if diff<=-2: return "Easy fight" elif diff==-1 or diff==0: return "A good fight" else: return "An intense fight"

[ "diana.yuying@gmail.com" ]

diana.yuying@gmail.com

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abachman/interactive-spaces-1

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# download all data from the 4 MICAVIBE feeds import sys import os import re import time import json import re from io import StringIO if sys.version_info < (3, 0): print("make sure you're using python3 or python version 3.0 or higher") os.exit(1) import urllib.parse import http.client def parse_next_value(instr): if not instr: return None for link in [h.strip() for h in instr.split(';')]: if re.match('rel="next"', link): try: nurl = re.search("<(.+)>", link)[1] return nurl except: print('no URL found in link header', link) return None def download(url, out_file, label): source = urllib.parse.urlparse(url) conn = http.client.HTTPSConnection(source.hostname, source.port) conn.request("GET", url) response = conn.getresponse() body = response.read() body_json = json.loads(body) if len(body_json) > 0: for record in body_json: ts = record['created_epoch'] line = "{},{}\n".format(record['created_epoch'], record['value']) out_file.write(line) print( "< {} {} ending on {} {} ({} total)".format( len(body_json), label, record['id'], record['created_at'], response.getheader('X-Pagination-Total') ) ) return parse_next_value(response.getheader('Link')) return None def get_all_data(url, file_path, label): data = StringIO() next_page = download(url, data, label) while next_page: time.sleep(1) next_page = download(next_page, data, label) with open(file_path, 'w') as out_file: out_file.write(data.getvalue()) data.close() if __name__ == "__main__": # # https://io.adafruit.com/api/v2/mica_ia/feeds/mood/data # https://io.adafruit.com/api/v2/mica_ia/feeds/split-motion/data # https://io.adafruit.com/api/v2/mica_ia/feeds/sound/data # https://io.adafruit.com/api/v2/mica_ia/feeds/sound-2/data # destination = "/var/www/app/shared/data/" collections = ( ("Mood", "https://io.adafruit.com/api/v2/mica_ia/feeds/mood/data", destination + 'mood.csv'), ("Motion", "https://io.adafruit.com/api/v2/mica_ia/feeds/split-motion/data", destination + 'motion.csv'), ("Sound 1", "https://io.adafruit.com/api/v2/mica_ia/feeds/sound/data", destination + 'sound-1.csv'), ("Sound 2", "https://io.adafruit.com/api/v2/mica_ia/feeds/sound-2/data", destination + 'sound-2.csv'), ) for label, url, filepath in collections: print("---------------------------------------------------------") print(time.time(), "getting", url, "into", filepath) print("---------------------------------------------------------") get_all_data(url, filepath, label)

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adam.bachman@gmail.com

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import sys class Fib: def __init__(self, num): self.num = num self.a = 0 self.b = 1 self.result = 0 def __iter__(self): return self def __next__(self): if self.a < self.num: self.result = self.a self.a, self.b = self.b, self.b + self.a return self.result else: raise StopIteration if __name__ == "__main__": x = int(sys.argv[1]) y = Fib(x) results = [] for result in y: results.append(result) print(results)

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from django.db import models from Python import init class Posts(models.Model): User_Email = models.CharField(max_length=init.Email_Len) ArticleTitle = models.CharField(max_length=init.ArticleTitle_Len) Article = models.CharField(max_length=init.Article_Len) Tags = models.CharField(max_length=init.ArticleTags_Len, default='') Deleted = models.BooleanField() Date = models.DateTimeField(auto_now_add=True) def __str__(self): return 'User Email Who Write The Post : ' + str(self.User_Email) class LikesDisLikes(models.Model): User_Email = models.CharField(max_length=110) Post_id = models.CharField(max_length=11) Status = models.BooleanField() Date = models.DateTimeField(auto_now_add=True) def __str__(self): return 'User : ' + str(self.User_Email) + ' Like Or DisLike Post : ' + str(self.Post_id) class Comments(models.Model): Post_id = models.IntegerField() User_Email = models.CharField(max_length=init.Email_Len) Comment = models.CharField(max_length=init.Comment_Len) Date = models.DateTimeField(auto_now_add=True) def __str__(self): return 'User : ' + str(self.User_Email) + ' Comment in Post : ' + str(self.Post_id)

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abdoaslam000@gmail.com

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/todo_app/settings.py

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AhmedMoustafaa/to-do-app

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""" Django settings for todo_app project. Generated by 'django-admin startproject' using Django 3.0.7. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) 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/3.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'j!h1e6_v68(_xfc19mtq49c!-c62g1w^^3un6wqhmc6qv6da96' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ # local apps 'todo.apps.TodoConfig', 'users.apps.UsersConfig', # third parties 'crispy_forms', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'todo_app.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [os.path.join(BASE_DIR, '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 = 'todo_app.wsgi.application' # Database # https://docs.djangoproject.com/en/3.0/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.0/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.0/howto/static-files/ STATIC_URL = '/static/' STATICFILES_DIRS = [os.path.join(BASE_DIR, 'static')] CRISPY_TEMPLATE_PACK = 'bootstrap4' LOGIN_REDIRECT_URL = 'home' LOGOUT_REDIRECT_URL = 'home'

[ "brian.laggy@gmail.com" ]

brian.laggy@gmail.com

22aa0e448f5799c401421eb60b5b4237dab843a8

e655fafdf3a675d917135f333d6fa3d7fb9c59f6

/Exercícios/ex047.py

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Sabrina-AP/python-curso_em_video

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refs/heads/main

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2021-03-23T17:49:44

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#contagem de pares for i in range(1,51): if i%2==0: print(i, end=' ') print('Acabou')

[ "noreply@github.com" ]

noreply@github.com

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/tests/unit/generate/test_context.py

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permissive

STAMP-project/camp

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# # CAMP # # Copyright (C) 2017 -- 2019 SINTEF Digital # All rights reserved. # # This software may be modified and distributed under the terms # of the MIT license. See the LICENSE file for details. # from unittest import TestCase from camp.entities.model import Model, Component, Service, Feature, Variable, Goals from camp.generate import Context from ozepy import start_over class LoadedContextIncludes(TestCase): def setUp(self): start_over() self._context = Context() components = [ Component("c1", provided_services=[Service("S1")], provided_features=[Feature("F1")], variables=[Variable("memory", str, values=["1GB", "2GB"])]) ] self._model = Model(components, Goals(services=[Service("S1")])) self._context.load_metamodel() self._context.load_model(self._model) def test_all_metaclasses(self): for each in self.EXPECTED_CLASSES: self.assertIn(each, self._context) EXPECTED_CLASSES = ["Value", "Variable", "Service", "Feature", "Component", "CInstance"] def test_all_services(self): for each in self._model.services: self.assertIn(each.name, self._context) def test_all_features(self): for each in self._model.features: self.assertIn(each.name, self._context) def test_all_components(self): for each in self._model.components: self.assertIn(each.name, self._context) def test_all_variables_with_qualified_names(self): for each_component in self._model.components: for each_variable in each_component.variables: qualified_name = "_".join([each_component.name, each_variable.name]) self.assertIn(qualified_name, self._context) def test_all_values_slots_with_qualified_names(self): for each_component in self._model.components: for each_variable in each_component.variables: qualified_name = "_".join([each_component.name, "0", each_variable.name]) self.assertIn(qualified_name, self._context)

[ "franck.chauvel@gmail.com" ]

franck.chauvel@gmail.com

7a3484ca24eee71aa63e4e1eb0f4a392f1f4784a

41b4702e359e3352116eeecf2bdf59cb13c71cf2

/contextual_bcq/rand_param_envs/mujoco_py/mjlib.py

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[]

no_license

CaralHsi/Multi-Task-Batch-RL

b0aad53291c1713fd2d89fa4fff4a85c98427d4d

69d29164ab7d82ec5e06a929ed3b96462db21853

refs/heads/master

2022-12-22T19:23:45.341092

2020-10-01T00:05:36

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from ctypes import * import os from .util import * from .mjtypes import * from rand_param_envs.mujoco_py import config path_prefix = config.mjpro_path if sys.platform.startswith("darwin"): libfile = os.path.join(path_prefix, "bin/libmujoco131.dylib") elif sys.platform.startswith("linux"): libfile = os.path.join(path_prefix, "bin/libmujoco131.so") elif sys.platform.startswith("win"): libfile = os.path.join(path_prefix, "bin/mujoco131.lib") else: raise RuntimeError("Unrecognized platform %s" % sys.platform) if not os.path.exists(libfile): raise RuntimeError("Missing path: %s. (HINT: you should have unzipped the mjpro131.zip bundle without modification.)" % libfile) mjlib = cdll.LoadLibrary(os.path.abspath(libfile)) mjlib.mj_loadXML.argtypes = [String, String, c_char_p, c_int] mjlib.mj_loadXML.restype = POINTER(MJMODEL) mjlib.mj_saveXML.argtypes = [String, POINTER(MJMODEL), String] mjlib.mj_saveXML.restype = c_int #mjlib.mj_printSchema.argtypes = [String, String, c_int, c_int, c_int] #mjlib.mj_printSchema.restype = c_int mjlib.mj_activate.argtypes = [String] mjlib.mj_activate.restype = c_int mjlib.mj_step.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] mjlib.mj_step.restype = None mjlib.mj_step1.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] mjlib.mj_step1.restype = None mjlib.mj_step2.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] mjlib.mj_step2.restype = None mjlib.mj_forward.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] mjlib.mj_forward.restype = None #mjlib.mj_inverse.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_inverse.restype = None #mjlib.mj_forwardSkip.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), c_int] #mjlib.mj_forwardSkip.restype = None #mjlib.mj_inverseSkip.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), c_int] #mjlib.mj_inverseSkip.restype = None #mjlib.mj_sensor.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_sensor.restype = None #mjlib.mj_energy.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_energy.restype = None #mjlib.mj_defaultSolRefImp.argtypes = [POINTER(c_double), POINTER(c_double)] #mjlib.mj_defaultSolRefImp.restype = None #mjlib.mj_defaultOption.argtypes = [POINTER(mjOption)] #mjlib.mj_defaultOption.restype = None #mjlib.mj_defaultVisual.argtypes = [POINTER(mjVisual)] #mjlib.mj_defaultVisual.restype = None #mjlib.mj_copyModel.argtypes = [POINTER(MJMODEL), POINTER(MJMODEL)] #mjlib.mj_copyModel.restype = POINTER(MJMODEL) #mjlib.mj_saveModel.argtypes = [POINTER(MJMODEL), String, c_int, POINTER(None)] #mjlib.mj_saveModel.restype = None #mjlib.mj_loadModel.argtypes = [String, c_int, POINTER(None)] #mjlib.mj_loadModel.restype = POINTER(MJMODEL) mjlib.mj_deleteModel.argtypes = [POINTER(MJMODEL)] mjlib.mj_deleteModel.restype = None #mjlib.mj_sizeModel.argtypes = [POINTER(MJMODEL)] #mjlib.mj_sizeModel.restype = c_int mjlib.mj_makeData.argtypes = [POINTER(MJMODEL)] mjlib.mj_makeData.restype = POINTER(MJDATA) #mjlib.mj_copyData.argtypes = [POINTER(MJDATA), POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_copyData.restype = POINTER(MJDATA) mjlib.mj_resetData.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] mjlib.mj_resetData.restype = None #mjlib.mj_stackAlloc.argtypes = [POINTER(MJDATA), c_int] #mjlib.mj_stackAlloc.restype = POINTER(c_double) mjlib.mj_deleteData.argtypes = [POINTER(MJDATA)] mjlib.mj_deleteData.restype = None #mjlib.mj_resetCallbacks.argtypes = [] #mjlib.mj_resetCallbacks.restype = None #mjlib.mj_setConst.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), c_int] #mjlib.mj_setConst.restype = None #mjlib.mj_printModel.argtypes = [POINTER(MJMODEL), String] #mjlib.mj_printModel.restype = None #mjlib.mj_printData.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), String] #mjlib.mj_printData.restype = None #mjlib.mju_printMat.argtypes = [POINTER(c_double), c_int, c_int] #mjlib.mju_printMat.restype = None #mjlib.mj_fwdPosition.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_fwdPosition.restype = None #mjlib.mj_fwdVelocity.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_fwdVelocity.restype = None #mjlib.mj_fwdActuation.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_fwdActuation.restype = None #mjlib.mj_fwdAcceleration.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_fwdAcceleration.restype = None #mjlib.mj_fwdConstraint.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_fwdConstraint.restype = None #mjlib.mj_Euler.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_Euler.restype = None #mjlib.mj_RungeKutta.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), c_int] #mjlib.mj_RungeKutta.restype = None #mjlib.mj_invPosition.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_invPosition.restype = None #mjlib.mj_invVelocity.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_invVelocity.restype = None #mjlib.mj_invConstraint.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_invConstraint.restype = None #mjlib.mj_compareFwdInv.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_compareFwdInv.restype = None #mjlib.mj_checkPos.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_checkPos.restype = None #mjlib.mj_checkVel.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_checkVel.restype = None #mjlib.mj_checkAcc.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_checkAcc.restype = None #mjlib.mj_kinematics.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_kinematics.restype = None #mjlib.mj_comPos.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_comPos.restype = None #mjlib.mj_tendon.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_tendon.restype = None #mjlib.mj_transmission.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_transmission.restype = None #mjlib.mj_crb.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_crb.restype = None #mjlib.mj_factorM.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_factorM.restype = None #mjlib.mj_backsubM.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mj_backsubM.restype = None #mjlib.mj_backsubM2.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mj_backsubM2.restype = None #mjlib.mj_comVel.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_comVel.restype = None #mjlib.mj_passive.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_passive.restype = None #mjlib.mj_rne.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), c_int, POINTER(c_double)] #mjlib.mj_rne.restype = None #mjlib.mj_rnePostConstraint.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_rnePostConstraint.restype = None #mjlib.mj_collision.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_collision.restype = None #mjlib.mj_makeConstraint.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_makeConstraint.restype = None #mjlib.mj_projectConstraint.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_projectConstraint.restype = None #mjlib.mj_referenceConstraint.argtypes = [POINTER(MJMODEL), POINTER(MJDATA)] #mjlib.mj_referenceConstraint.restype = None #mjlib.mj_isPyramid.argtypes = [POINTER(MJMODEL)] #mjlib.mj_isPyramid.restype = c_int #mjlib.mj_isSparse.argtypes = [POINTER(MJMODEL)] #mjlib.mj_isSparse.restype = c_int #mjlib.mj_mulJacVec.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double)] #mjlib.mj_mulJacVec.restype = None #mjlib.mj_mulJacTVec.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double)] #mjlib.mj_mulJacTVec.restype = None #mjlib.mj_jac.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mj_jac.restype = None #mjlib.mj_jacBody.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mj_jacBody.restype = None #mjlib.mj_jacBodyCom.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mj_jacBodyCom.restype = None #mjlib.mj_jacGeom.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mj_jacGeom.restype = None #mjlib.mj_jacSite.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mj_jacSite.restype = None #mjlib.mj_jacPointAxis.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mj_jacPointAxis.restype = None mjlib.mj_name2id.argtypes = [POINTER(MJMODEL), c_int, String] # The middle term is a mjtObj (an enum) in C. mjlib.mj_name2id.restype = c_int #mjlib.mj_id2name.argtypes = [POINTER(MJMODEL), mjtObj, c_int] #mjlib. mj_id2name.restype = ReturnString #mjlib.else: #mjlib. mj_id2name.restype = String #mjlib. mj_id2name.errcheck = ReturnString #mjlib.mj_fullM.argtypes = [POINTER(MJMODEL), POINTER(c_double), POINTER(c_double)] #mjlib.mj_fullM.restype = None #mjlib.mj_mulM.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double)] #mjlib.mj_mulM.restype = None #mjlib.mj_applyFT.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int, POINTER(c_double)] #mjlib.mj_applyFT.restype = None #mjlib.mj_objectVelocity.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), c_int, c_int, POINTER(c_double), mjtByte] #mjlib.mj_objectVelocity.restype = None #mjlib.mj_objectAcceleration.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), c_int, c_int, POINTER(c_double), mjtByte] #mjlib.mj_objectAcceleration.restype = None #mjlib.mj_contactForce.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), c_int, POINTER(c_double)] #mjlib.mj_contactForce.restype = None #mjlib.mj_integratePos.argtypes = [POINTER(MJMODEL), POINTER(c_double), POINTER(c_double), c_double] #mjlib.mj_integratePos.restype = None #mjlib.mj_normalizeQuat.argtypes = [POINTER(MJMODEL), POINTER(c_double)] #mjlib.mj_normalizeQuat.restype = None #mjlib.mj_local2Global.argtypes = [POINTER(MJDATA), POINTER(c_double), POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mj_local2Global.restype = None #mjlib.mj_getTotalmass.argtypes = [POINTER(MJMODEL)] #mjlib.mj_getTotalmass.restype = c_double #mjlib.mj_setTotalmass.argtypes = [POINTER(MJMODEL), c_double] #mjlib.mj_setTotalmass.restype = None #mjlib.mj_version.argtypes = [] #mjlib.mj_version.restype = c_double mjlib.mjv_makeObjects.argtypes = [POINTER(MJVOBJECTS), c_int] mjlib.mjv_makeObjects.restype = None mjlib.mjv_freeObjects.argtypes = [POINTER(MJVOBJECTS)] mjlib.mjv_freeObjects.restype = None mjlib.mjv_defaultOption.argtypes = [POINTER(MJVOPTION)] mjlib.mjv_defaultOption.restype = None #mjlib.mjv_defaultCameraPose.argtypes = [POINTER(MJVCAMERAPOSE)] #mjlib.mjv_defaultCameraPose.restype = None mjlib.mjv_defaultCamera.argtypes = [POINTER(MJVCAMERA)] mjlib.mjv_defaultCamera.restype = None mjlib.mjv_setCamera.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(MJVCAMERA)] mjlib.mjv_setCamera.restype = None mjlib.mjv_updateCameraPose.argtypes = [POINTER(MJVCAMERA), c_double] mjlib.mjv_updateCameraPose.restype = None #mjlib.mjv_convert3D.argtypes = [POINTER(c_double), POINTER(c_double), c_double, POINTER(MJVCAMERAPOSE)] #mjlib.mjv_convert3D.restype = None #mjlib.mjv_convert2D.argtypes = [POINTER(c_double), mjtMouse, c_double, c_double, c_double, POINTER(MJVCAMERAPOSE)] #mjlib.mjv_convert2D.restype = None mjlib.mjv_moveCamera.argtypes = [c_int, c_float, c_float, POINTER(MJVCAMERA), c_float, c_float] mjlib.mjv_moveCamera.restype = None #mjlib.mjv_moveObject.argtypes = [mjtMouse, c_float, c_float, POINTER(MJVCAMERAPOSE), c_float, c_float, POINTER(c_double), POINTER(c_double)] #mjlib.mjv_moveObject.restype = None mjlib.mjv_mousePerturb.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), c_int, c_int, POINTER(c_double), POINTER(c_double), POINTER(c_double)] mjlib.mjv_mousePerturb.restype = None #mjlib.mjv_mouseEdit.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), c_int, c_int, POINTER(c_double), POINTER(c_double)] #mjlib.mjv_mouseEdit.restype = None mjlib.mjv_makeGeoms.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(MJVOBJECTS), POINTER(MJVOPTION), c_int, c_int, POINTER(c_double), POINTER(c_double), POINTER(c_double)] mjlib.mjv_makeGeoms.restype = None mjlib.mjv_makeLights.argtypes = [POINTER(MJMODEL), POINTER(MJDATA), POINTER(MJVOBJECTS)] mjlib.mjv_makeLights.restype = None mjlib.mjr_overlay.argtypes = [MJRRECT, c_int, c_int, String, String, POINTER(MJRCONTEXT)] mjlib.mjr_overlay.restype = None #mjlib.mjr_rectangle.argtypes = [c_int, MJRRECT, c_double, c_double, c_double, c_double, c_double, c_double, c_double, c_double] #mjlib.mjr_rectangle.restype = None #mjlib.mjr_finish.argtypes = [] #mjlib.mjr_finish.restype = None #mjlib.mjr_text.argtypes = [String, POINTER(MJRCONTEXT), c_int, c_float, c_float, c_float, c_float, c_float, c_float] #mjlib.mjr_text.restype = None #mjlib.mjr_textback.argtypes = [String, POINTER(MJRCONTEXT), c_float, c_float, c_float, c_float, c_float, c_float] #mjlib.mjr_textback.restype = None #mjlib.mjr_textWidth.argtypes = [String, POINTER(MJRCONTEXT), c_int] #mjlib.mjr_textWidth.restype = c_int mjlib.mjr_defaultOption.argtypes = [POINTER(MJROPTION)] mjlib.mjr_defaultOption.restype = None mjlib.mjr_defaultContext.argtypes = [POINTER(MJRCONTEXT)] mjlib.mjr_defaultContext.restype = None #mjlib.mjr_uploadTexture.argtypes = [POINTER(MJMODEL), POINTER(MJRCONTEXT), c_int] #mjlib.mjr_uploadTexture.restype = None mjlib.mjr_makeContext.argtypes = [POINTER(MJMODEL), POINTER(MJRCONTEXT), c_int] mjlib.mjr_makeContext.restype = None mjlib.mjr_freeContext.argtypes = [POINTER(MJRCONTEXT)] mjlib.mjr_freeContext.restype = None mjlib.mjr_render.argtypes = [c_int, MJRRECT, POINTER(MJVOBJECTS), POINTER(MJROPTION), POINTER(MJVCAMERAPOSE), POINTER(MJRCONTEXT)] mjlib.mjr_render.restype = None #mjlib.mjr_select.argtypes = [MJRRECT, POINTER(MJVOBJECTS), c_int, c_int, POINTER(c_double), POINTER(c_double), POINTER(MJROPTION), POINTER(MJVCAMERAPOSE), POINTER(MJRCONTEXT)] #mjlib.mjr_select.restype = c_int #mjlib.mjr_showOffscreen.argtypes = [c_int, c_int, POINTER(MJRCONTEXT)] #mjlib.mjr_showOffscreen.restype = None #mjlib.mjr_showBuffer.argtypes = [POINTER(c_ubyte), c_int, c_int, c_int, c_int, POINTER(MJRCONTEXT)] #mjlib.mjr_showBuffer.restype = None #mjlib.mjr_getOffscreen.argtypes = [POINTER(c_ubyte), POINTER(c_float), MJRRECT, POINTER(MJRCONTEXT)] #mjlib.mjr_getOffscreen.restype = None #mjlib.mjr_getBackbuffer.argtypes = [POINTER(c_ubyte), POINTER(c_float), MJRRECT, POINTER(MJRCONTEXT)] #mjlib.mjr_getBackbuffer.restype = None #mjlib. #mjlib. #mjlib.mju_error.argtypes = [String] #mjlib.mju_error.restype = None #mjlib.mju_error_i.argtypes = [String, c_int] #mjlib.mju_error_i.restype = None #mjlib.mju_error_s.argtypes = [String, String] #mjlib.mju_error_s.restype = None #mjlib.mju_warning.argtypes = [String] #mjlib.mju_warning.restype = None #mjlib.mju_warning_i.argtypes = [String, c_int] #mjlib.mju_warning_i.restype = None #mjlib.mju_warning_s.argtypes = [String, String] #mjlib.mju_warning_s.restype = None #mjlib.mju_clearHandlers.argtypes = [] #mjlib.mju_clearHandlers.restype = None #mjlib.mju_malloc.argtypes = [c_size_t] #mjlib.mju_malloc.restype = POINTER(None) #mjlib.mju_free.argtypes = [POINTER(None)] #mjlib.mju_free.restype = None #mjlib.mj_warning.argtypes = [POINTER(MJDATA), c_int] #mjlib.mj_warning.restype = None #mjlib.mju_zero3.argtypes = [POINTER(c_double)] #mjlib.mju_zero3.restype = None #mjlib.mju_copy3.argtypes = [POINTER(c_double), POINTER(c_double)] #mjlib.mju_copy3.restype = None #mjlib.mju_scl3.argtypes = [POINTER(c_double), POINTER(c_double), c_double] #mjlib.mju_scl3.restype = None #mjlib.mju_add3.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_add3.restype = None #mjlib.mju_sub3.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_sub3.restype = None #mjlib.mju_addTo3.argtypes = [POINTER(c_double), POINTER(c_double)] #mjlib.mju_addTo3.restype = None #mjlib.mju_addToScl3.argtypes = [POINTER(c_double), POINTER(c_double), c_double] #mjlib.mju_addToScl3.restype = None #mjlib.mju_addScl3.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_double] #mjlib.mju_addScl3.restype = None #mjlib.mju_normalize3.argtypes = [POINTER(c_double)] #mjlib.mju_normalize3.restype = c_double #mjlib.mju_norm3.argtypes = [POINTER(c_double)] #mjlib.mju_norm3.restype = c_double #mjlib.mju_dot3.argtypes = [POINTER(c_double), POINTER(c_double)] #mjlib.mju_dot3.restype = c_double #mjlib.mju_dist3.argtypes = [POINTER(c_double), POINTER(c_double)] #mjlib.mju_dist3.restype = c_double #mjlib.mju_rotVecMat.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_rotVecMat.restype = None #mjlib.mju_rotVecMatT.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_rotVecMatT.restype = None #mjlib.mju_cross.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_cross.restype = None #mjlib.mju_zero.argtypes = [POINTER(c_double), c_int] #mjlib.mju_zero.restype = None #mjlib.mju_copy.argtypes = [POINTER(c_double), POINTER(c_double), c_int] #mjlib.mju_copy.restype = None #mjlib.mju_scl.argtypes = [POINTER(c_double), POINTER(c_double), c_double, c_int] #mjlib.mju_scl.restype = None #mjlib.mju_add.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mju_add.restype = None #mjlib.mju_sub.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mju_sub.restype = None #mjlib.mju_addTo.argtypes = [POINTER(c_double), POINTER(c_double), c_int] #mjlib.mju_addTo.restype = None #mjlib.mju_addToScl.argtypes = [POINTER(c_double), POINTER(c_double), c_double, c_int] #mjlib.mju_addToScl.restype = None #mjlib.mju_addScl.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_double, c_int] #mjlib.mju_addScl.restype = None #mjlib.mju_normalize.argtypes = [POINTER(c_double), c_int] #mjlib.mju_normalize.restype = c_double #mjlib.mju_norm.argtypes = [POINTER(c_double), c_int] #mjlib.mju_norm.restype = c_double #mjlib.mju_dot.argtypes = [POINTER(c_double), POINTER(c_double), c_int] #mjlib.mju_dot.restype = c_double #mjlib.mju_mulMatVec.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int, c_int] #mjlib.mju_mulMatVec.restype = None #mjlib.mju_mulMatTVec.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int, c_int] #mjlib.mju_mulMatTVec.restype = None #mjlib.mju_transpose.argtypes = [POINTER(c_double), POINTER(c_double), c_int, c_int] #mjlib.mju_transpose.restype = None #mjlib.mju_mulMatMat.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int, c_int, c_int] #mjlib.mju_mulMatMat.restype = None #mjlib.mju_mulMatMatT.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int, c_int, c_int] #mjlib.mju_mulMatMatT.restype = None #mjlib.mju_sqrMat.argtypes = [POINTER(c_double), POINTER(c_double), c_int, c_int, POINTER(c_double), c_int] #mjlib.mju_sqrMat.restype = None #mjlib.mju_mulMatTMat.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int, c_int, c_int] #mjlib.mju_mulMatTMat.restype = None #mjlib.mju_transformSpatial.argtypes = [POINTER(c_double), POINTER(c_double), mjtByte, POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_transformSpatial.restype = None #mjlib.mju_rotVecQuat.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_rotVecQuat.restype = None #mjlib.mju_negQuat.argtypes = [POINTER(c_double), POINTER(c_double)] #mjlib.mju_negQuat.restype = None #mjlib.mju_mulQuat.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_mulQuat.restype = None #mjlib.mju_mulQuatAxis.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_mulQuatAxis.restype = None #mjlib.mju_axisAngle2Quat.argtypes = [POINTER(c_double), POINTER(c_double), c_double] #mjlib.mju_axisAngle2Quat.restype = None #mjlib.mju_quat2Vel.argtypes = [POINTER(c_double), POINTER(c_double), c_double] #mjlib.mju_quat2Vel.restype = None #mjlib.mju_quat2Mat.argtypes = [POINTER(c_double), POINTER(c_double)] #mjlib.mju_quat2Mat.restype = None #mjlib.mju_mat2Quat.argtypes = [POINTER(c_double), POINTER(c_double)] #mjlib.mju_mat2Quat.restype = None #mjlib.mju_derivQuat.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_derivQuat.restype = None #mjlib.mju_quatIntegrate.argtypes = [POINTER(c_double), POINTER(c_double), c_double] #mjlib.mju_quatIntegrate.restype = None #mjlib.mju_quatZ2Vec.argtypes = [POINTER(c_double), POINTER(c_double)] #mjlib.mju_quatZ2Vec.restype = None #mjlib.mju_cholFactor.argtypes = [POINTER(c_double), POINTER(c_double), c_int, c_double, c_double, POINTER(c_double)] #mjlib.mju_cholFactor.restype = c_int #mjlib.mju_cholBacksub.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int, c_int, c_int] #mjlib.mju_cholBacksub.restype = None #mjlib.mju_eig3.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), POINTER(c_double)] #mjlib.mju_eig3.restype = c_int #mjlib.mju_muscleFVL.argtypes = [c_double, c_double, c_double, c_double, POINTER(c_double)] #mjlib.mju_muscleFVL.restype = c_double #mjlib.mju_musclePassive.argtypes = [c_double, c_double, c_double, POINTER(c_double)] #mjlib.mju_musclePassive.restype = c_double #mjlib.mju_pneumatic.argtypes = [c_double, c_double, c_double, POINTER(c_double), c_double, c_double, c_double, POINTER(c_double)] #mjlib.mju_pneumatic.restype = c_double #mjlib.mju_encodePyramid.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mju_encodePyramid.restype = None #mjlib.mju_decodePyramid.argtypes = [POINTER(c_double), POINTER(c_double), POINTER(c_double), c_int] #mjlib.mju_decodePyramid.restype = None #mjlib.mju_springDamper.argtypes = [c_double, c_double, c_double, c_double, c_double] #mjlib.mju_springDamper.restype = c_double #mjlib.mju_min.argtypes = [c_double, c_double] #mjlib.mju_min.restype = c_double #mjlib.mju_max.argtypes = [c_double, c_double] #mjlib.mju_max.restype = c_double #mjlib.mju_sign.argtypes = [c_double] #mjlib.mju_sign.restype = c_double #mjlib.mju_round.argtypes = [c_double] #mjlib.mju_round.restype = c_int #mjlib.mju_type2Str.argtypes = [c_int] #mjlib. mju_type2Str.restype = ReturnString #mjlib.else: #mjlib. mju_type2Str.restype = String #mjlib. mju_type2Str.errcheck = ReturnString #mjlib.mju_str2Type.argtypes = [String] #mjlib.mju_str2Type.restype = mjtObj #mjlib.mju_warningText.argtypes = [c_int] #mjlib. mju_warningText.restype = ReturnString #mjlib.else: #mjlib. mju_warningText.restype = String #mjlib. mju_warningText.errcheck = ReturnString #mjlib.mju_isBad.argtypes = [c_double] #mjlib.mju_isBad.restype = c_int #mjlib.mju_isZero.argtypes = [POINTER(c_double), c_int] #mjlib.mju_isZero.restype = c_int

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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from azure.identity import DefaultAzureCredential from azure.mgmt.cosmosdb import CosmosDBManagementClient """ # PREREQUISITES pip install azure-identity pip install azure-mgmt-cosmosdb # USAGE python cosmos_db_sql_container_create_update.py Before run the sample, please set the values of the client ID, tenant ID and client secret of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET. For more info about how to get the value, please see: https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal """ def main(): client = CosmosDBManagementClient( credential=DefaultAzureCredential(), subscription_id="subid", ) response = client.sql_resources.begin_create_update_sql_container( resource_group_name="rg1", account_name="ddb1", database_name="databaseName", container_name="containerName", create_update_sql_container_parameters={ "location": "West US", "properties": { "options": {}, "resource": { "clientEncryptionPolicy": { "includedPaths": [ { "clientEncryptionKeyId": "keyId", "encryptionAlgorithm": "AEAD_AES_256_CBC_HMAC_SHA256", "encryptionType": "Deterministic", "path": "/path", } ], "policyFormatVersion": 2, }, "conflictResolutionPolicy": {"conflictResolutionPath": "/path", "mode": "LastWriterWins"}, "defaultTtl": 100, "id": "containerName", "indexingPolicy": { "automatic": True, "excludedPaths": [], "includedPaths": [ { "indexes": [ {"dataType": "String", "kind": "Range", "precision": -1}, {"dataType": "Number", "kind": "Range", "precision": -1}, ], "path": "/*", } ], "indexingMode": "consistent", }, "partitionKey": {"kind": "Hash", "paths": ["/AccountNumber"]}, "uniqueKeyPolicy": {"uniqueKeys": [{"paths": ["/testPath"]}]}, }, }, "tags": {}, }, ).result() print(response) # x-ms-original-file: specification/cosmos-db/resource-manager/Microsoft.DocumentDB/stable/2023-04-15/examples/CosmosDBSqlContainerCreateUpdate.json if __name__ == "__main__": main()

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import imagehash import pandas as pd import os from PIL import Image from collections import defaultdict from square_crop import square_crop directory_path = '/Users/Ziyu/OneDrive - Clarivate Analytics/Desktop/weekendmaxmara_images/' data_path = '/Users/Ziyu/OneDrive - Clarivate Analytics/Desktop/weekendmaxmara_images/hashes.csv' data_dict = defaultdict(list) for image_name in os.listdir(directory_path): image_path = directory_path + image_name try: with Image.open(image_path) as image: image = square_crop(image) ahash = imagehash.average_hash(image) dhash = imagehash.dhash(image) phash = imagehash.phash(image) whash = imagehash.whash(image) data_dict['image_name'].append(image_name) data_dict['ahash'].append(ahash) data_dict['dhash'].append(dhash) data_dict['phash'].append(phash) data_dict['whash'].append(whash) print('Finished No. %s' % image_name) except Exception: continue data = pd.DataFrame(data_dict) data.to_csv(data_path)

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#!/usr/bin/env python # URL for assignment template # http://www.codeskulptor.org/#examples-blackjack_template.py # URL for completed assignment # http://www.codeskulptor.org/#user38_vITLjG598O_0.py # http://www.codeskulptor.org/#user38_vITLjG598O_1.py # http://www.codeskulptor.org/#user38_vITLjG598O_2.py # http://www.codeskulptor.org/#user38_vITLjG598O_3.py # Copy and paste below the line into CodeSkulptor ''' - Card Class Testing: http://www.codeskulptor.org/#examples-card_template.py - Hand Class Testing: http://www.codeskulptor.org/#examples-hand_template.py - Draw Class Testing: http://www.codeskulptor.org/#examples-deck_template.py ''' #------------------------------------------------------------------------------ ''' Mini-project - Week 06 Blackjack: The Game ''' # Mini-project #6 - Blackjack import simplegui import random DEBUG = False # load card sprite - 936x384 - source: jfitz.com CARD_SIZE = (72, 96) CARD_CENTER = (36, 48) card_images = simplegui.load_image("http://storage.googleapis.com/codeskulptor-assets/cards_jfitz.png") CARD_BACK_SIZE = (72, 96) CARD_BACK_CENTER = (36, 48) card_back = simplegui.load_image("http://storage.googleapis.com/codeskulptor-assets/card_jfitz_back.png") # initialize some useful global variables in_play = False outcome = "" score = 0 # define globals for cards SUITS = ('C', 'S', 'H', 'D') RANKS = ('A', '2', '3', '4', '5', '6', '7', '8', '9', 'T', 'J', 'Q', 'K') VALUES = {'A':1, '2':2, '3':3, '4':4, '5':5, '6':6, '7':7, '8':8, '9':9, 'T':10, 'J':10, 'Q':10, 'K':10} # define card class class Card: def __init__(self, suit, rank): if (suit in SUITS) and (rank in RANKS): self.suit = suit self.rank = rank else: self.suit = None self.rank = None print "Invalid card: ", suit, rank def __str__(self): return self.suit + self.rank def get_suit(self): return self.suit def get_rank(self): return self.rank def draw(self, canvas, pos): card_loc = (CARD_CENTER[0] + CARD_SIZE[0] * RANKS.index(self.rank), CARD_CENTER[1] + CARD_SIZE[1] * SUITS.index(self.suit) ) canvas.draw_image( card_images, card_loc, CARD_SIZE, [pos[0] + CARD_CENTER[0], pos[1] + CARD_CENTER[1]], CARD_SIZE ) # define hand class class Hand: def __init__(self): self.hand = [] self.value = 0 self.ace_in_hand = False def __str__(self): card_string = '' for i in range(len(self.hand)): card_string += ' ' + str(self.hand[i]) return 'Hand contains' + card_string def add_card(self, card): self.hand.append(card) def get_value(self): # count aces as 1, if the hand has an ace, then add 10 to hand value if it doesn't bust self.value = 0 for c in self.hand: # print self.value, c.get_rank(), c.get_suit(), self.ace_in_hand self.value += VALUES[c.get_rank()] if c.get_rank() == 'A': self.ace_in_hand = True if not self.ace_in_hand: return self.value else: if self.value + 10 <= 21: return self.value + 10 else: return self.value def draw(self, canvas, pos): for c in self.hand: c.draw(canvas, pos) pos = [pos[0] + CARD_SIZE[0] + 5, pos[1]] # define deck class class Deck: def __init__(self): self.deck = [Card(s, r) for s in SUITS for r in RANKS] def shuffle(self): # shuffle the deck random.shuffle(self.deck) def deal_card(self): # pull the card from the end of the deck return self.deck.pop(-1) def __str__(self): deck_string = '' for i in range(len(self.deck)): deck_string += ' ' + str(self.deck[i]) return 'Deck contains' + deck_string #define event handlers for buttons def deal(): global outcome, in_play, dealer_hand, player_hand, game_deck, score #if new cards dealt while game in play, player automatically loses if in_play: score -= 1 # always start a new game with a new deck game_deck = Deck() game_deck.shuffle() player_hand = Hand() dealer_hand = Hand() player_hand.add_card(game_deck.deal_card()) dealer_hand.add_card(game_deck.deal_card()) player_hand.add_card(game_deck.deal_card()) dealer_hand.add_card(game_deck.deal_card()) if DEBUG: print 'Dealer', dealer_hand print 'Player', player_hand outcome = 'Hit or Stand?' in_play = True def hit(): global outcome, in_play, score, player_hand # if the hand is in play, hit the player if in_play: player_hand.add_card(game_deck.deal_card()) if player_hand.get_value() > 21: outcome = "Player Busted" in_play = False score -= 1 if DEBUG: print 'Dealer', dealer_hand print 'Player', player_hand print 'Outcome:', outcome print 'Score:', score def stand(): global outcome, in_play, score, player_hand # if hand is in play, repeatedly hit dealer until his hand has value 17 or more while in_play: if dealer_hand.get_value() > 21: outcome = "Dealer Busted" in_play = False score += 1 elif dealer_hand.get_value() >= 17: in_play = False if dealer_hand.get_value() >= player_hand.get_value(): outcome = "Dealer WINS !" score -= 1 elif dealer_hand.get_value() < player_hand.get_value(): outcome = "Player WINS !" score += 1 else: dealer_hand.add_card(game_deck.deal_card()) if DEBUG: print 'Dealer', dealer_hand print 'Player', player_hand print 'Outcome:', outcome print 'Score:', score # draw handler def draw(canvas): canvas.draw_text('BlackJack', [170, 75], 72, 'Black') canvas.draw_text(outcome, [190, 125], 48, 'Red') canvas.draw_text("Dealer's Hand", [170, 175], 32, 'Black') dealer_hand.draw(canvas, [50, 200]) if in_play: canvas.draw_image( card_back, CARD_BACK_CENTER, CARD_BACK_SIZE, [50 + CARD_BACK_CENTER[0], 200 + CARD_BACK_CENTER[1]], CARD_BACK_SIZE ) canvas.draw_text("Player's Hand", [170, 375], 32, 'Black') player_hand.draw(canvas, [50, 400]) if not in_play: canvas.draw_text('New Deal?', [50, 460], 48, 'Green') canvas.draw_text('Score', [400, 550], 32, 'Black') canvas.draw_text(str(score), [425, 590], 48, 'Black') # initialization frame frame = simplegui.create_frame("Blackjack", 600, 600) frame.set_canvas_background("Green") #create buttons and canvas callback frame.add_button("Deal", deal, 200) frame.add_button("Hit", hit, 200) frame.add_button("Stand", stand, 200) frame.set_draw_handler(draw) # get things rolling player_hand = Hand() dealer_hand = Hand() deal() frame.start()

[ "eastman.joseph@gmail.com" ]

eastman.joseph@gmail.com

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import io import os import cv2 from google.cloud import vision def non_ascii(text): return ''.join(i if ord(i)<128 and i.isalnum() else '' for i in text]).strip() os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'apikey.json' # The name of the image file to annotate (Change the line below 'image_path.jpg' ******) path = os.path.join(os.path.dirname(__file__), '3.jpg') # Your image path from current directory client = vision.ImageAnnotatorClient() image = cv2.imread(path) # Encode the frame using CV2 functions success, encoded_image = cv2.imencode('.jpg', image) content2 = encoded_image.tobytes() # OCR Image to text process image_cv2 = vision.types.Image(content=content2) response = client.text_detection(image=image_cv2) texts = response.text_annotations full_text = non_ascii_remove(response.full_text_annotations) print('Full Text:', full_text)

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# AUTOGENERATED BY NBDEV! DO NOT EDIT! __all__ = ["index", "modules", "custom_doc_links", "git_url"] index = {"get_files": "00_core.ipynb", "UnpicklerModule": "00_core.ipynb"} modules = ["core.py"] doc_url = "https://muellerzr.github.io/unpickler/" git_url = "https://github.com/muellerzr/unpickler/tree/master/" def custom_doc_links(name): return None

[ "muellerzr@gmail.com" ]

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/tests/test_parser.py

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hariton27sy/exeparser

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import os import sys import unittest PARENT_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), os.path.pardir) sys.path.append(PARENT_DIR) import core.exefile as x def full_path(path): return os.path.join(PARENT_DIR, path) class TestOnFileQoobExe(unittest.TestCase): path = 'examples/qoob.exe' def setUp(self): self.file = x.ExeFile(full_path(self.path)) def test_rva_to_raw(self): expected = 0x6e00 res = self.file.rva_to_raw(0x13000) self.assertEqual(expected, res[1]) def test_rva_to_raw2(self): expected = 0x6e02 res = self.file.rva_to_raw(0x13002) self.assertEqual(expected, res[1]) def test_resources(self): expected = ('+ root\n| + ICON\n| | + 1\n| + RCDATA\n| | + 2\n| | + 8\n' '| | + 10\n| | + 17\n| | + 18\n| | + 20\n| | + 21\n' '| | + 30\n| | + 101\n| | + 102\n| | + 103\n| | + 104\n' '| + GROUP_ICON\n| | + 1\n| + VERSION\n| | + 1') actual = str(self.file.resources()) self.assertEqual(expected, actual) def test_no_export_table(self): actual = self.file.export_table() self.assertEqual('', str(actual)) def test_relocations(self): actual = self.file.relocations() self.assertIsNone(actual) def test_raw_section_header(self): expected = (b'<\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\xff\xff\xff\xff\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\x00\x00\x00|p@\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\x00\x00\x00') actual = b"".join(self.file.raw_section_data(2)) self.assertEqual(expected, actual) class TestOnFileApp2Exe(unittest.TestCase): path = 'examples/App2.exe' def setUp(self): self.file = x.ExeFile(full_path(self.path)) def test_relocations(self): expected = ('BASE RELOCATIONS:\n 0x2000 RVA 12 SizeOfBlock 2 Count ' 'of relocations\n 0x0006F4 HIGHLOW\n 0x000000 ' 'ABSOULUTE') actual = self.file.relocations() self.assertEqual(expected, str(actual)) def test_import_table(self): expected = { 'originalFirstThunk': 9927, 'timeDateStamp': 0, 'forwarderChain': 0, 'name': "mscoree.dll", 'firstThunk': 8192 } actual = self.file.import_table() self.assertEqual(1, len(actual.table)) for field in expected: self.assertEqual(expected[field], actual.table[0][field]) self.assertEqual(1, len(actual.table[0]['functions'])) def test_resources(self): expected = """+ root\n| + VERSION\n| | + 1\n| + MANIFEST\n| | + 1""" actual = self.file.resources() self.assertEqual(expected, str(actual)) class TestOnFileFirefox2Exe(unittest.TestCase): path = 'examples/firefox2.exe' def setUp(self): self.file = x.ExeFile(full_path(self.path)) def test_data_directory(self): expected = [(b'\x05\x04\x04\x00', b'\xcf\x07\x00\x00'), (b'\xd4\x0b\x04\x00', b'h\x01\x00\x00'), (b'\x00\x80\x04\x00', b'\xb0%\x03\x00'), (b'\x00\x00\x00\x00', b'\x00\x00\x00\x00'), (b'\x00\x80\x07\x00', b' \x1e\x00\x00'), (b'\x00\xb0\x07\x00', b"p'\x00\x00"), (b'j\xfb\x03\x00', b'\x1c\x00\x00\x00'), (b'\x00\x00\x00\x00', b'\x00\x00\x00\x00'), (b'\x00\x00\x00\x00', b'\x00\x00\x00\x00'), (b'\xd4\xcc\x03\x00', b'\x18\x00\x00\x00'), (b'\xb8\xb0\x03\x00', b'\xa0\x00\x00\x00'), (b'\x00\x00\x00\x00', b'\x00\x00\x00\x00'), (b'\x8c\x12\x04\x00', b'P\x05\x00\x00'), (b'\xa4\x00\x04\x00', b'\xe0\x00\x00\x00'), (b'\x00\x00\x00\x00', b'\x00\x00\x00\x00'), (b'\x00\x00\x00\x00', b'\x00\x00\x00\x00')] actual = self.file.optional_header['dataDirectory'] self.assertEqual(16, len(actual)) self.assertEqual(expected, actual) def test_export_table(self): with open(full_path('tests/firefox2_expected/exportTable.txt')) as f: expected = f.read() actual = self.file.export_table() self.assertEqual(expected, str(actual)) def test_dependents(self): expected = { "ADVAPI32.dll", "KERNEL32.dll", "MSVCP140.dll", "VCRUNTIME140.dll", "api-ms-win-crt-convert-l1-1-0.dll", "api-ms-win-crt-environment-l1-1-0.dll", "api-ms-win-crt-filesystem-l1-1-0.dll", "api-ms-win-crt-heap-l1-1-0.dll", "api-ms-win-crt-locale-l1-1-0.dll", "api-ms-win-crt-math-l1-1-0.dll", "api-ms-win-crt-runtime-l1-1-0.dll", "api-ms-win-crt-stdio-l1-1-0.dll", "api-ms-win-crt-string-l1-1-0.dll", "api-ms-win-crt-time-l1-1-0.dll", "api-ms-win-crt-utility-l1-1-0.dll", "mozglue.dll", "ntdll.dll" } actual = self.file.import_table().get_dependencies() self.assertEqual(expected, set(actual)) # That no repeats self.assertEqual(len(set(actual)), len(actual)) def test_get_when_resource_is_png(self): resources = self.file.resources() resource = resources.table.elements[0].elements[11].elements[0] actual = self.file.get_resource(resource) self.assertEqual(b"\x89PNG", actual[:4]) class TestCommonRaises(unittest.TestCase): def test_file_not_found(self): self.assertRaises(FileNotFoundError, lambda: x.ExeFile( full_path('WrongPath/nofile.exe'))) def test_wrong_file_format(self): with self.assertRaises(x.BrokenFileError) as excInfo: x.ExeFile(full_path('index.py')) self.assertIn('Broken file. No "MZ" in begin', str(excInfo.exception)) def test_no_mz_signature(self): with self.assertRaises(x.BrokenFileError) as exc: x.ExeFile(full_path('examples/NoMZSignature.exe')) self.assertIn('Broken file. No "MZ" in begin', str(exc.exception)) def test_no_pe_signature(self): with self.assertRaises(x.BrokenFileError) as exc: x.ExeFile(full_path('examples/NoPESignature.exe')) self.assertIn('Broken File. No "PE\\0\\0" in begin of PEHeader', str(exc.exception)) if __name__ == "__main__": unittest.main()

[ "hariton27sy@gmail.com" ]

hariton27sy@gmail.com

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#!/usr/bin/env python3 import argparse import json from .exporthelpers.export_helper import Json import endoapi def get_json(**params) -> Json: endomondo = endoapi.endomondo.Endomondo(**params) maximum_workouts = None # None means all workouts = endomondo.get_workouts_raw(maximum_workouts) return workouts Token = str def login(email: str) -> Token: print(f"Logging in as {email}") password = input('Your password: ') endomondo = endoapi.endomondo.Endomondo(email=email, password=password) token = endomondo.token print('Your token:') print(token) return token def make_parser(): from .exporthelpers.export_helper import setup_parser, Parser parser = Parser("Tool to export your personal Endomondo data") setup_parser(parser=parser, params=['email', 'token']) # TODO exports -- need help for each param? parser.add_argument('--login', action='store_true', help=''' This will log you in and give you the token (you'll need your password). You only need to do it once, after that just store the token and use it. ''') return parser def main() -> None: # TODO add logger configuration to export_helper? # TODO autodetect logzero? args = make_parser().parse_args() params = args.params dumper = args.dumper if args.login: login(email=params['email']) return j = get_json(**params) js = json.dumps(j, indent=1, ensure_ascii=False) dumper(js) if __name__ == '__main__': main()

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karlicoss@gmail.com

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#calss header class _SYPHON(): def __init__(self,): self.name = "SYPHON" self.definitions = [u'a siphon noun '] self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.specie = 'nouns' def run(self, obj1 = [], obj2 = []): return self.jsondata

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com