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

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/train.py

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ducthangqd1998/Deeplabv3plus-Tensorflow

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refs/heads/master

2021-01-04T18:36:53.905049

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#coding=utf-8 from __future__ import print_function from __future__ import division from __future__ import absolute_import import tensorflow as tf import numpy as np import os import cv2 import datetime slim = tf.contrib.slim import deeplab_model import input_data import utils.utils as Utils flags = tf.app.flags FLAGS = flags.FLAGS # For dataset BATCH_SIZE_OS_16 = 8 BATCH_SIZE_OS_8 = 2 CROP_HEIGHT = input_data.HEIGHT CROP_WIDTH = input_data.WIDTH CHANNELS = 3 CLASSES = deeplab_model.CLASSES _IGNORE_LABEL = input_data._IGNORE_LABEL PRETRAINED_MODEL_PATH = deeplab_model.PRETRAINED_MODEL_PATH # For training steps SAMPLES_AUG = 10582 SAMEPLES_train = 1464 EPOCHES = 42 MAX_STEPS_FAST = (SAMPLES_AUG) // BATCH_SIZE_OS_16 * EPOCHES MAX_STEPS_SLOW = (SAMEPLES_train) // BATCH_SIZE_OS_8 * EPOCHES SAVE_CHECKPOINT_STEPS = 5000 SAVE_SUMMARY_STEPS = 1000 PRINT_STEPS = 200 # For training config _POWER = 0.9 _WEIGHT_DECAY = 1e-4 initial_lr_fast = 7e-3 end_lr_fast = 1e-5 decay_steps_fast = 50000 initial_lr_slow = 1e-5 end_lr_slow = 1e-6 decay_steps_slow = 30000 flags.DEFINE_integer('output_stride', 16, 'output stride used in the resnet model') if FLAGS.output_stride == 16: MAX_STEPS = MAX_STEPS_FAST initial_lr = initial_lr_fast end_lr = end_lr_fast decay_steps = decay_steps_fast BATCH_SIZE = BATCH_SIZE_OS_16 train_data = input_data.read_train_data() val_data = input_data.read_val_data() elif FLAGS.output_stride == 8: MAX_STEPS = MAX_STEPS_SLOW initial_lr = initial_lr_slow end_lr = end_lr_slow decay_steps = decay_steps_slow BATCH_SIZE = BATCH_SIZE_OS_8 train_data = input_data.read_train_raw_data() val_data = input_data.read_val_data() # for saved path saved_ckpt_path = './checkpoint/' saved_summary_train_path = './summary/train/' saved_summary_test_path = './summary/test/' def cal_loss(logits, y, loss_weight=1.0): ''' raw_prediction = tf.reshape(logits, [-1, CLASSES]) raw_gt = tf.reshape(y, [-1]) indices = tf.squeeze(tf.where(tf.less_equal(raw_gt, CLASSES - 1)), 1) gt = tf.cast(tf.gather(raw_gt, indices), tf.int32) prediction = tf.gather(raw_prediction, indices) # Pixel-wise softmax loss. loss = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=prediction, labels=gt) ''' y = tf.reshape(y, shape=[-1]) not_ignore_mask = tf.to_float(tf.not_equal(y, _IGNORE_LABEL)) * loss_weight one_hot_labels = tf.one_hot( y, CLASSES, on_value=1.0, off_value=0.0) logits = tf.reshape(logits, shape=[-1, CLASSES]) loss = tf.losses.softmax_cross_entropy(onehot_labels=one_hot_labels, logits=logits, weights=not_ignore_mask) return tf.reduce_mean(loss) with tf.name_scope('input'): x = tf.placeholder(dtype=tf.float32, shape=[None, CROP_HEIGHT, CROP_WIDTH, CHANNELS], name='x_input') y = tf.placeholder(dtype=tf.int32, shape=[None, CROP_HEIGHT, CROP_WIDTH], name='ground_truth') logits = deeplab_model.deeplab_v3_plus(x, is_training=True, output_stride=FLAGS.output_stride, pre_trained_model=PRETRAINED_MODEL_PATH) #logits = deeplab_model.deeplabv3_plus_model_fn(x) with tf.name_scope('regularization'): train_var_list = [v for v in tf.trainable_variables() if 'beta' not in v.name and 'gamma' not in v.name] # Add weight decay to the loss. with tf.variable_scope("total_loss"): l2_loss = _WEIGHT_DECAY * tf.add_n( [tf.nn.l2_loss(v) for v in train_var_list]) with tf.name_scope('loss'): loss = cal_loss(logits, y) tf.summary.scalar('loss', loss) loss_all = loss + l2_loss tf.summary.scalar('loss_all', loss_all) with tf.name_scope('learning_rate'): global_step = tf.Variable(0, trainable=False) lr = tf.train.polynomial_decay( learning_rate=initial_lr, global_step=global_step, decay_steps=decay_steps, end_learning_rate=end_lr, power=_POWER, cycle=False, name=None ) tf.summary.scalar('learning_rate', lr) with tf.name_scope("opt"): update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) with tf.control_dependencies(update_ops): optimizer = tf.train.MomentumOptimizer(learning_rate=lr, momentum=0.9).minimize(loss_all, var_list=train_var_list, global_step=global_step) with tf.name_scope("mIoU"): predictions = tf.argmax(logits, axis=-1, name='predictions') train_mIoU = tf.Variable(0, dtype=tf.float32, trainable=False) tf.summary.scalar('train_mIoU', train_mIoU) test_mIoU = tf.Variable(0, dtype=tf.float32, trainable=False) tf.summary.scalar('test_mIoU',test_mIoU) merged = tf.summary.merge_all() with tf.Session() as sess: sess.run(tf.local_variables_initializer()) sess.run(tf.global_variables_initializer()) saver = tf.train.Saver() # if os.path.exists(saved_ckpt_path): ckpt = tf.train.get_checkpoint_state(saved_ckpt_path) if ckpt and ckpt.model_checkpoint_path: saver.restore(sess, ckpt.model_checkpoint_path) sess.run(tf.assign(global_step, 0)) print("Model restored...") # saver.restore(sess, './checkpoint/deeplabv3plus.model-30000') train_summary_writer = tf.summary.FileWriter(saved_summary_train_path, sess.graph) test_summary_writer = tf.summary.FileWriter(saved_summary_test_path, sess.graph) for i in range(0, MAX_STEPS + 1): image_batch_0, image_batch, anno_batch, filename = train_data.next_batch(BATCH_SIZE, is_training=True) image_batch_val_0, image_batch_val, anno_batch_val, filename_val = val_data.next_batch(BATCH_SIZE, is_training=True) _ = sess.run(optimizer, feed_dict={x: image_batch, y: anno_batch}) if i % SAVE_SUMMARY_STEPS == 0: train_summary = sess.run(merged, feed_dict={x: image_batch, y: anno_batch}) train_summary_writer.add_summary(train_summary, i) test_summary = sess.run(merged, feed_dict={x: image_batch_val, y: anno_batch_val}) test_summary_writer.add_summary(test_summary, i) if i % PRINT_STEPS == 0: train_loss_val_all = sess.run(loss_all, feed_dict={x: image_batch, y: anno_batch}) print(datetime.datetime.now().strftime("%Y.%m.%d-%H:%M:%S"), " | Step: %d, | Train loss all: %f" % (i, train_loss_val_all)) if i % SAVE_SUMMARY_STEPS == 0: learning_rate = sess.run(lr) pred_train, train_loss_val_all, train_loss_val = sess.run([predictions, loss_all, loss], feed_dict={x: image_batch, y: anno_batch}) pred_test, test_loss_val_all, test_loss_val = sess.run([predictions, loss_all, loss], feed_dict={x: image_batch_val, y: anno_batch_val}) train_mIoU_val, train_IoU_val = Utils.cal_batch_mIoU(pred_train, anno_batch, CLASSES) test_mIoU_val, test_IoU_val = Utils.cal_batch_mIoU(pred_test, anno_batch_val, CLASSES) sess.run(tf.assign(train_mIoU, train_mIoU_val)) sess.run(tf.assign(test_mIoU, test_mIoU_val)) print('------------------------------') print(datetime.datetime.now().strftime("%Y.%m.%d-%H:%M:%S"), " | Step: %d, | Lr: %f, | train loss all: %f, | train loss: %f, | train mIoU: %f, | test loss all: %f, | test loss: %f, | test mIoU: %f" % ( i, learning_rate, train_loss_val_all, train_loss_val, train_mIoU_val, test_loss_val_all, test_loss_val, test_mIoU_val)) print('------------------------------') print(train_IoU_val) print(test_IoU_val) print('------------------------------') #prediction = tf.argmax(logits, axis=-1, name='predictions') if i % SAVE_CHECKPOINT_STEPS == 0: if not os.path.exists('images'): os.mkdir('images') for j in range(BATCH_SIZE): cv2.imwrite('images/%d_%s_train_img.png' %(i, filename[j].split('.')[0]), image_batch[j]) cv2.imwrite('images/%d_%s_train_anno.png' %(i, filename[j].split('.')[0]), Utils.color_gray(anno_batch[j])) cv2.imwrite('images/%d_%s_train_pred.png' %(i, filename[j].split('.')[0]), Utils.color_gray(pred_train[j])) cv2.imwrite('images/%d_%s_test_img.png' %(i, filename_val[j].split('.')[0]), image_batch_val[j]) cv2.imwrite('images/%d_%s_test_anno.png' %(i, filename_val[j].split('.')[0]), Utils.color_gray(anno_batch_val[j])) cv2.imwrite('images/%d_%s_test_pred.png' %(i, filename_val[j].split('.')[0]), Utils.color_gray(pred_test[j])) if i % SAVE_CHECKPOINT_STEPS == 0: saver.save(sess, os.path.join(saved_ckpt_path, 'deeplabv3plus.model'), global_step=i) if __name__ == '__main__': tf.app.run()

[ "zhulf0804@gmail.com" ]

zhulf0804@gmail.com

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/query_api.py

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import sys import os import datetime import json import wget def main(): if len(sys.argv) != 2: print 'Usage: query_api outfilename' exit(1) logfilename = 'templog.txt' call = 'http://api.nytimes.com/svc/search/v2/articlesearch.json?sort=newest&fq=source%3A%22The+New+York+Times%22+AND+document_type%3A%22article%22&api-key=8cbd506758608f03f71e955c07315a98%3A4%3A69419709' wget.download(call,out=logfilename) json_file = open(logfilename) json_data = json.load(json_file) json_file.close() os.remove(logfilename) outfile = open(sys.argv[1], 'a') if len(json_data['response']['docs']) == 0: outfile.write( '{0}: No documents received!\n'.format(datetime.datetime.now()) ) else: article = json_data['response']['docs'][0] outfile.write( '{2}: The most recent article published on NYTimes.com is "{1}", publication date {0}\n<br>\n'.format(article['pub_date'], article['headline']['main'], datetime.datetime.now()) ) outfile.close() if __name__ == '__main__': main()

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dvasavda/Tech-Interview-Preparation

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def binarySearchSortedArray(nums, s): """ Args: {List<int>} nums {int} s Returns: {boolean} Whether s is in nums. """ # Write your code here. beginning = 0 end = len(nums) - 1 found = False while beginning <= end and not found: mid = (beginning + end) // 2 if nums[mid] == s: found = True else: if s <= nums[mid]: end = mid - 1 if s >= nums[mid]: beginning = mid + 1 return found

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/surveil/tests/api/controllers/v2/auth/test_auth.py

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titilambert/surveil

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# Copyright 2015 - Savoir-Faire Linux inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import json from surveil.tests.api import functionalTest class TestAuthController(functionalTest.FunctionalTest): def test_auth_login(self): auth = { "auth": { "tenantName": "demo", "passwordCredentials": { "username": "demo", "password": "secretsecret" } } } response = self.post_json('/v2/auth/tokens', params=auth) expected = { "access": { "token": { "issued_at": "2014-01-30T15:30:58.819584", "expires": "2014-01-31T15:30:58Z", "id": "aaaaa-bbbbb-ccccc-dddd", "tenant": { "enabled": True, "description": "Hey!", "name": "demo", "id": "fc394f2ab2df4114bde39905f800dc57" } } } } self.assertEqual(json.loads(response.body.decode()), expected)

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alexandre.viau@savoirfairelinux.com

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/my_flask/app/web/book.py

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cekong/learnit

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2019-08-29T06:46:48

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'''''' ''' 把视图函数从主文件分离出来用蓝图注册视图函数 https://coding.imooc.com/lesson/194.html#mid=12773 线程隔离 https://coding.imooc.com/lesson/194.html#mid=12630 使用模板 https://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000/0014320129740415df73bf8f81e478982bf4d5c8aa3817a000 ''' from app.spider.my_flask_test_2_book import yushubook from app.libs.my_flask_test_2_help import is_key_or_isbn from flask import jsonify, request, render_template,flash from flask_login import current_user from . import web from app.forms.book import searchform from app.view_models.book import BookViewModel,BookCollection import json from app.models.gift import Gift from app.models.wish import Wish from app.view_models.trade import TradeInfo from app.models.base import db from app.models.book import Book '''------------------''' ''' q :普通关键字（书名或者isbn） isbn号 isbn13(13个0到9的数字组成) isbn10 10个0到9的数字组成含有一些‘-’ page页码通过http://127.0.0.1:5000/book/search?q=关键字&page=页码访问 ''' @web.route("/book/search") def search(): form=searchform(request.args) #验证参数 books=BookCollection() if form.validate(): q=form.q.data.strip() page=form.page.data # 用来判断q是关键字还是isbn key_or_isbn = is_key_or_isbn(q) yushu_book = yushubook() if key_or_isbn == 'isbn': yushu_book.search_by_isbn(q) else: yushu_book.search_by_keyword(q,page) books.fill(yushu_book,q) # return json.dumps(books,default=lambda o:o.__dict__) # return json.dumps(books),200,{'content-type':'application/json'} # return jsonify(books) # 作用和上句相同 # return 返回的是字符串格式，而result是json即dict格式，需要序列化 else: # return jsonify({'msg':'参数校验失败'}) flash('参数校验失败') return jsonify(form.errors) #显示具体错误信息 return render_template('search_result.html', books=books) '''------------------''' '''------------------''' ''' 通过http://127.0.0.1:5000/book/search/关键字/页码访问 ''' # @web.route("/book/search/<q>/<page>") # def search(q,page):#视图函数 # ... '''------------------''' @web.route('/book/<isbn>/detail') def book_detail(isbn): has_in_gifts = False has_in_wishes = False # 取书籍详情数据 yushu_book = yushubook() yushu_book.search_by_isbn(isbn) book = BookViewModel(yushu_book.first) # MVC 模型-视图-控制器 if current_user.is_authenticated: if Gift.query.filter_by(uid=current_user.id, isbn=isbn, launched=False).first(): has_in_gifts = True if Wish.query.filter_by(uid=current_user.id, isbn=isbn, launched=False).first(): has_in_wishes = True trade_gifts = Gift.query.filter_by(isbn=isbn, launched=False).all() trade_wishes = Wish.query.filter_by(isbn=isbn, launched=False).all() trade_wishes_model = TradeInfo(trade_wishes) trade_gifts_model = TradeInfo(trade_gifts) return render_template('book_detail.html', book=book, wishes=trade_wishes_model, gifts=trade_gifts_model, has_in_wishes=has_in_wishes, has_in_gifts=has_in_gifts) '''使用send_static_file下载''' # @web.route('/download') # def download(): # if user: # send_static_file # pass '''request也是线程隔离的''' @web.route('/test_xiancheng') def test_xiancheng(): from flask import request #使用了线程隔离 from app.libs.none_local import n #未使用线程隔离 print(n.v) n.v=4 #未实现线程隔离 print('------------------') print(getattr(request,'v',None)) setattr(request,'v',3) #实现了线程隔离 print('------------------') return '' '''模板 Flask默认支持的模板是jinja2''' @web.route('/my_flask_register_login') def test(): r={ 'name':'a', 'action':'hello a' } r1={ 'name':'b', 'action':'hello b' } #模板 html return render_template('test.html',data=r,data1=r1) '''模板使用基础模板layout.html+test1.html''' @web.route('/test1') def test1(): r={ 'name':'a', 'action':'hello a' } r1={ 'name':'b', 'action':'hello b' } flash('怎么那么美',category='error') flash('就是那么美',category='warning') return render_template('test1.html',data=r,data1=r1)

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#!/usr/bin/env python """ Script used to install files keeping track of the files that have been installed, so that at the next installation the file removed from the source directory will also be removed from the destination directory. The script provide also the "uninstall" functionality to remove all and only the files that it installed for the package. Command line: install.py [-x exclusion1 [-x exclusion2 ...]] [-l logfile] source1 [source2 ...] dest install.py -u [-l logfile] [dest1 ...] @author: Marco Clemencic <marco.clemencic@cern.ch> """ # Needed to for the local copy of the function os.walk, introduced in Python 2.3 # It must be removed when the support for Python 2.2 is dropped # should be at the first line to please Python 2.5 _version = "$Id: install.py,v 1.15 2008/10/28 17:24:39 marcocle Exp $" def main(): try: # optparse is available only since Python 2.3 from optparse import OptionParser parser = OptionParser() parser.add_option("-x","--exclude",action="append", metavar="PATTERN", default = [], dest="exclusions", help="which files/directories to avoid to install") parser.add_option("-l","--log",action="store", dest="logfile", default="install.log", help="where to store the informations about installed files [default: %default]") parser.add_option("-d","--destname",action="store", dest="destname", default=None, help="name to use when installing the source into the destination directory [default: source name]") parser.add_option("-u","--uninstall",action="store_true", dest="uninstall", default=False, help="do uninstall") parser.add_option("-s","--symlink",action="store_true", dest="symlink", default=False, help="create symlinks instead of copy") #parser.add_option("-p","--permission",action="store", # metavar="PERM", # dest="permission", # help="modify the permission of the destination file (see 'man chown'). Unix only.") (opts,args) = parser.parse_args() except ImportError: # Old style option parsing # It must be removed when the support for Python 2.2 is dropped from getopt import getopt, GetoptError from sys import argv,exit class _DummyParserClass: def __init__(self): self.usage = "usage: install.py [options]" self.help = """options: -h, --help show this help message and exit -x PATTERN, --exclude=PATTERN which files/directories to avoid to install -l LOGFILE, --log=LOGFILE where to store the informations about installed files [default: install.log] -d DESTNAME, --destname=DESTNAME name to use when installing the source into the destination directory [default: source name] -u, --uninstall do uninstall -s, --symlink create symlinks instead of copy""" def error(self,msg=None): print(self.usage + "\n") if not msg: msg = self.help print(msg) exit(1) parser = _DummyParserClass() try: optlist, args = getopt(argv[1:],"hx:l:d:us", ["help","exclude","log","destname","uninstall","symlink"]) except GetoptError: # print help information and exit: parser.error() # Dummy option class class _DummyOptionsClass: def __init__(self): # defaults self.exclusions = [] self.uninstall = False self.logfile = "install.log" self.destname = None self.symlink = False opts = _DummyOptionsClass() for opt,val in optlist: if opt in [ "-h", "--help" ]: parser.error() elif opt in [ "-x", "--exclude" ]: opts.exclusions.append(val) elif opt in [ "-l", "--log" ]: opts.logfile = val elif opt in [ "-d", "--destname" ]: opts.destname = val elif opt in [ "-u", "--uninstall" ]: opts.uninstall = True elif opt in [ "-s", "--symlink" ]: opts.symlink = True # options consistency check from pickle import dump,load from os.path import realpath if opts.uninstall: if opts.exclusions: parser.error("Exclusion list does not make sense for uninstall") opts.destination = args try: log = load(open(opts.logfile,"rb")) except: log = LogFile() uninstall(log,opts.destination,realpath(dirname(opts.logfile))) if log: dump(log,open(opts.logfile,"wb")) else: from os import remove try: remove(opts.logfile) except OSError as x: if x.errno != 2 : raise else : # install mode if len(args) < 2: parser.error("Specify at least one source and (only) one destination") opts.destination = args[-1] opts.sources = args[:-1] try: log = load(open(opts.logfile,"rb")) except: log = LogFile() if opts.symlink : if len(opts.sources) != 1: parser.error("no more that 2 args with --symlink") opts.destination, opts.destname = split(opts.destination) install(opts.sources,opts.destination, log,opts.exclusions,opts.destname, opts.symlink, realpath(dirname(opts.logfile))) dump(log,open(opts.logfile,"wb")) from os import makedirs, listdir, rmdir from os.path import exists, isdir, getmtime, split, join, realpath, dirname try: from os import walk except ImportError: def walk(top, topdown=True, onerror=None): """Copied from Python 2.3 os.py (see original file for copyright) This function has been introduced in Python 2.3, and this copy should be removed once the support for Python 2.2 is dropped. """ from os.path import join, isdir, islink # We may not have read permission for top, in which case we can't # get a list of the files the directory contains. os.path.walk # always suppressed the exception then, rather than blow up for a # minor reason when (say) a thousand readable directories are still # left to visit. That logic is copied here. try: # Note that listdir and error are globals in this module due # to earlier import-*. names = listdir(top) except error as err: if onerror is not None: onerror(err) return dirs, nondirs = [], [] for name in names: if isdir(join(top, name)): dirs.append(name) else: nondirs.append(name) if topdown: yield top, dirs, nondirs for name in dirs: path = join(top, name) if not islink(path): for x in walk(path, topdown, onerror): yield x if not topdown: yield top, dirs, nondirs class LogFile: """ Class to incapsulate the logfile functionalities. """ def __init__(self): self._installed_files = {} def get_dest(self,source): try: return self._installed_files[source] except KeyError: return None def set_dest(self,source,dest): self._installed_files[source] = dest def get_sources(self): return list(self._installed_files.keys()) def remove(self,source): try: del self._installed_files[source] except KeyError: pass def __len__(self): return self._installed_files.__len__() def filename_match(name,patterns,default=False): """ Check if the name is matched by any of the patterns in exclusions. """ from fnmatch import fnmatch for x in patterns: if fnmatch(name,x): return True return default def expand_source_dir(source, destination, exclusions = [], destname = None, logdir = realpath(".")): """ Generate the list of copies. """ expansion = {} src_path,src_name = split(source) if destname: to_replace = source replacement = join(destination,destname) else: to_replace = src_path replacement = destination for dirname, dirs, files in walk(source): if to_replace: dest_path=dirname.replace(to_replace,replacement) else: dest_path=join(destination,dirname) # remove excluded dirs from the list dirs[:] = [ d for d in dirs if not filename_match(d,exclusions) ] # loop over files for f in files: if filename_match(f,exclusions): continue key = getRelativePath(dest_path, join(dirname,f)) value = getRelativePath(logdir, join(dest_path,f)) expansion[key] = value return expansion def remove(file, logdir): from os import remove from os.path import normpath, splitext, exists file = normpath(join(logdir, file)) try: print("Remove '%s'"%file) remove(file) # For python files, remove the compiled versions too if splitext(file)[-1] == ".py": for c in ['c', 'o']: if exists(file + c): print("Remove '%s'" % (file+c)) remove(file+c) file_path = split(file)[0] while file_path and (len(listdir(file_path)) == 0): print("Remove empty dir '%s'"%file_path) rmdir(file_path) file_path = split(file_path)[0] except OSError as x: # ignore file-not-found errors if x.errno in [2, 13] : print("Previous removal ignored") else: raise def getCommonPath(dirname, filename): from os import sep from os.path import splitdrive # if the 2 components are on different drives (windows) if splitdrive(dirname)[0] != splitdrive(filename)[0]: return None dirl = dirname.split(sep) filel = filename.split(sep) commpth = [] for d, f in zip(dirl, filel): if d == f : commpth.append(d) else : break commpth = sep.join(commpth) if not commpth: commpth = sep elif commpth[-1] != sep: commpth += sep return commpth def getRelativePath(dirname, filename): """ calculate the relative path of filename with regards to dirname """ import os.path # Translate the filename to the realpath of the parent directory + basename filepath,basename = os.path.split(filename) filename = os.path.join(os.path.realpath(filepath),basename) # Get the absolute pathof the destination directory dirname = os.path.realpath(dirname) commonpath = getCommonPath(dirname, filename) # for windows if the 2 components are on different drives if not commonpath: return filename relname = filename[len(commonpath):] reldir = dirname[len(commonpath):] if reldir: relname = (os.path.pardir+os.path.sep)*len(reldir.split(os.path.sep)) \ + relname return relname def update(src,dest,old_dest = None, syml = False, logdir = realpath(".")): from shutil import copy2 from sys import platform from os.path import normpath if platform != "win32": from os import symlink realdest = normpath(join(logdir, dest)) dest_path = split(realdest)[0] realsrc = normpath(join(dest_path,src)) if (not exists(realdest)) or (getmtime(realsrc) > getmtime(realdest)): if not isdir(dest_path): print("Create dir '%s'"%(dest_path)) makedirs(dest_path) # the destination file is missing or older than the source if syml and platform != "win32" : if exists(realdest): remove(realdest,logdir) print("Create Link to '%s' in '%s'"%(src,dest_path)) symlink(src,realdest) else: print("Copy '%s' -> '%s'"%(src,realdest)) copy2(realsrc,realdest) # do the copy (cp -p src dest) #if old_dest != dest: # the file was installed somewhere else # # remove the old destination # if old_dest is not None: # remove(old_dest,logdir) def install(sources, destination, logfile, exclusions = [], destname = None, syml = False, logdir = realpath(".")): """ Copy sources to destination keeping track of what has been done in logfile. The destination must be a directory and sources are copied into it. If exclusions is not empty, the files matching one of its elements are not copied. """ for s in sources: src_path, src_name = split(s) if not exists(s): continue # silently ignore missing sources elif not isdir(s): # copy the file, without logging (?) if destname is None: dest = join(destination,src_name) else: dest = join(destination,destname) src = getRelativePath(destination,s) dest = getRelativePath(logdir,dest) old_dest = logfile.get_dest(src) update(src,dest,old_dest,syml,logdir) logfile.set_dest(src,dest) # update log else: # for directories # expand the content of the directory as a dictionary # mapping sources to destinations to_do = expand_source_dir(s,destination,exclusions,destname, logdir) src = getRelativePath(destination,s) last_done = logfile.get_dest(src) if last_done is None: last_done = {} for k in to_do: try: old_dest = last_done[k] del last_done[k] except KeyError: old_dest = None update(k,to_do[k],old_dest,syml,logdir) # remove files that were copied but are not anymore in the list for old_dest in list(last_done.values()): remove(old_dest,logdir) logfile.set_dest(src,to_do) # update log def uninstall(logfile, destinations = [], logdir=realpath(".")): """ Remove copied files using logfile to know what to remove. If destinations is not empty, only the files/directories specified are removed. """ for s in logfile.get_sources(): dest = logfile.get_dest(s) if type(dest) is str: if filename_match(dest,destinations,default=True): remove(dest, logdir) logfile.remove(s) else: for subs in list(dest.keys()): subdest = dest[subs] if filename_match(subdest,destinations,default=True): remove(subdest,logdir) del dest[subs] if not dest: logfile.remove(s) if __name__ == "__main__": main()

[ "zoujh@ihep.ac.cn" ]

zoujh@ihep.ac.cn

c4c3253a6b07f19944021bbecf697a2cb8e6faec

168f705d7283ca060fbcbbd93cf58ff71d001aff

/2/Arbitrage/test_american.py

4c7fbfa9eb8039cbdcc5da107e7d3dda593b5e3f

[]

no_license

jaceiverson/assign2

cc403271d64844b3476140e19f6d6d62acd76c8f

2576fd6d822dd9c8806ce0a63cb656328ed1b428

refs/heads/master

2020-08-26T19:24:52.054175

2019-12-09T20:33:33

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py

from payoffs import VanillaOption, call_payoff, put_payoff, american_binomial spot = 41.0 strike = 40.0 rate = 0.08 vol = 0.30 div = 0.0 expiry = 1.0 steps = 3 the_call = VanillaOption(strike, expiry, call_payoff) price = american_binomial(the_call, spot, rate, vol, div, steps) price2 = european_binomial(the_call, spot, rate, vol, div, steps) print(f"The Call Option Price is: {price : 0.3f}")

[ "jaceiverson@Jaces-MacBook-Pro.local" ]

jaceiverson@Jaces-MacBook-Pro.local

0013b1e16967cbeac62eae6ea8f98578c863e5bb

f1cc96e94ca7b39e37a2def3a144b8737e402c6b

/dingtalk_sdk_gmdzy2010/base_request.py

d57ef4f6f136ecb02db1bcfb2008c9b9cdf17b5b

[ "BSD-2-Clause" ]

permissive

gmdzy2010/dingtalk_sdk_gmdzy2010

f3d6fe70d457166d796fef53d86a7f24c32bf25d

f8c9fb130977993daf38137f37edfa3ee3eb4b66

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2022-12-23T01:18:54.563214

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import logging import os import requests class BaseRequest(object): """The base request for dingtalk""" logs_path = os.path.dirname(os.path.abspath(__file__)) request_url = None request_methods_valid = [ "get", "post", "put", "delete", "head", "options", "patch" ] def __init__(self, **kwargs): self.kwargs = kwargs self.logger = self.set_logger() self.response = None self.json_response = None self.call_status = False self._request_method = "get" def set_logger(self): """Method to build the base logging system. By default, logging level is set to INFO.""" logger = logging.getLogger(__name__) logger.setLevel(level=logging.INFO) logger_file = os.path.join(self.logs_path, 'dingtalk_sdk.logs') logger_handler = logging.FileHandler(logger_file) logger_handler.setLevel(logging.INFO) logger_formatter = logging.Formatter( '[%(asctime)s | %(name)s | %(levelname)s] %(message)s' ) logger_handler.setFormatter(logger_formatter) logger.addHandler(logger_handler) return logger @property def request_method(self): """Mostly, the get method is used to request wanted json data, as a result, the property of request_method is set to get by default.""" return self._request_method @request_method.setter def request_method(self, method_str): request_method_lower = method_str.lower() if request_method_lower in self.request_methods_valid: self._request_method = request_method_lower else: raise ValueError( "%s is not a valid HTTP request method, please choose one" "of %s to perform a normal http request, correct it now." "" % (method_str, ",".join(self.request_methods_valid)) ) def get_response(self): """Get the original response of requests""" request = getattr(requests, self.request_method, None) if request is None and self._request_method is None: raise ValueError("A effective http request method must be set") if self.request_url is None: raise ValueError( "Fatal error occurred, the class property \"request_url\" is" "set to None, reset it with an effective url of dingtalk api." ) response = request(self.request_url, **self.kwargs) self.response = response return response def get_json_response(self): """This method aims at catching the exception of ValueError, detail: http://docs.python-requests.org/zh_CN/latest/user/quickstart.html#json """ self.json_response = self.get_response().json() if self.json_response is not None: error_code = self.json_response.get("errcode", None) self.call_status = True if error_code == 0 else False return self.json_response def get_call_status(self): """The global status of api calling.""" return self.call_status

[ "noreply@github.com" ]

gmdzy2010.noreply@github.com

45aaca22b2d1ee117fe7f1cc3ed059e91eb08b11

c9dc59c06d67eaffd59e924886ae8d33a7c22c18

/monitor.py

27fd4acfd5accd8b11f0a18e72614225244e3954

[]

no_license

arvind181998ad/AWS-RESOURCE-MONITOR

0659e49e9c954cddbb9cd9ef128d2c1dbc688916

600a369271ba4e35dea79e245f31401d8fa89735

refs/heads/master

2021-05-10T08:00:00.721156

2018-01-25T06:52:00

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py

#import statements import argparse import boto3 import os import sys from pathlib import Path #regionsCode regions=['us-east-1','us-east-2','us-west-1','us-west-2','eu-west-1','eu-west-2','eu-west-3', 'ca-central-1','eu-central-1','ap-northeast-1','ap-northeast-2','ap-southeast-1', 'ap-southeast-2','ap-south-1','sa-east-1']; #regionsName regionsName=['US East\n(N. Virginia)','US East (Ohio)','US West \n(N.California)','US West (Oregon)','EU (Ireland)','EU (London)','EU (Paris)', 'Canada (Central)','EU (Frankfurt)','Asia Pacific\n(Tokyo)','Asia Pacific\n(Seoul)','Asia Pacific\n(Singapore)', 'Asia Pacific\n(Sydney)','Asia Pacific\n(Mumbai)','South America\n(São Paulo)']; total=0; #userName=os.getenv('username'); home=Path.home(); #methods def StatusInstances(input): #instances state (running,stopped,terminated) try: count=0; zone=connect.describe_availability_zones(); for zones in zone['AvailabilityZones']: zname=zones["ZoneName"] getStaIns=connects.instances.filter(Filters=[ { 'Name':'instance-state-name', 'Values':[input] }, { 'Name':'availability-zone', 'Values':[zname] } ] ); for staIns in getStaIns: print(regionsName[i]+"\t"+zname+"\t"+staIns.instance_type+"\t\t"+staIns.id+"\t"+staIns.public_ip_address+"\t\t\t"+staIns.key_name); count=count+1; if count >=1: print("\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t"+str(count)+" "+input); total=count; except: print(""); def filterByTag(getNum): #filter by tags zone=connect.describe_availability_zones(); for zones in zone['AvailabilityZones']: zname=zones["ZoneName"] getStaIns=connects.instances.filter(Filters=[ { 'Name':'instance-state-name', 'Values':['running','stopped','terminated'] }, { 'Name':'availability-zone', 'Values':[zname] } ] ); if getNum == 0: #all [tagged and untagged] for ins in getStaIns: if ins.tags: print(regionsName[i]+"\t"+zname+"\t"+ins.instance_type+"\t\t"+ins.id+"\t"+ins.public_ip_address+"\t\t\t"+ins.key_name+"\t\tTAGGED"); else: print("\n\n"+regionsName[i]+"\t"+zname+"\t"+ins.instance_type+"\t\t"+ins.id+"\t"+ins.public_ip_address+"\t\t\t"+ins.key_name+"\t\tUNTAGGED"); if getNum == 1: #tagged for ins in getStaIns: if ins.tags: print("\n\n"+regionsName[i]+"\t"+zname+"\t"+ins.instance_type+"\t\t"+ins.id+"\t"+ins.public_ip_address); for tag in ins.tags: print("\t\t\t\t\t\t\t\t\t\t\t\t\t\t"+tag['Key']+"\t\t\t"+tag['Value']); if getNum == 2: #untagged for ins in getStaIns: if not ins.tags: print("\n\n"+regionsName[i]+"\t"+zname+"\t"+ins.instance_type+"\t\t"+ins.id+"\t"+ins.public_ip_address); def configure(): #creating configuration files path=str(home)+"\\.aws\\"; accessKey=input("Enter the AWS ACCESS KEY ID:"); secretKey=input("Enter the AWS SECRET ACCESS KEY:"); if not os.path.exists(path): os.mkdir(path); createFile=open(path+"credentials","wb+"); send="[default]\naws_access_key_id = "+accessKey+"\naws_secret_access_key = "+secretKey+""; createFile.write(send.encode()); backupFile=open(path+".bak","wb+"); backupFile.write(send.encode()); print("\nConfig file updated.\n"); def checkConfig(): #checking for configuration files access=0; path=str(home)+"\\.aws\\"; if not os.path.exists(path): access=access+1; return access; def createProfile(): #create new profile profilename=input("PROFILE NAME: "); accessKey=input("AWS ACCESS KEY ID: "); secretKey=input("AWS SECRET ACCESS KEY: "); path=str(home)+"\\.ResourceMonitor\\"; if not os.path.exists(path): os.mkdir(path); createProfile=open(path+profilename,"wb+"); send="[default]\naws_access_key_id = "+accessKey+"\naws_secret_access_key = "+secretKey+""; createProfile.write(send.encode()); print("\nProfile created successfully.\n"); def restore(): #restoring the backup file path=str(home)+"\\.aws\\"; backupFile=open(path+".bak","r"); createFile=open(path+"credentials","wb+"); default=backupFile.read(); createFile.write(default.encode()); def profile(paths): #change profile path=str(home)+"\\.aws\\"; if not os.path.exists(path): os.mkdir(path); openFile=open(str(home)+"\\.ResourceMonitor\\"+paths,"r"); fileText=openFile.read(); sendFile=open(path+"credentials","wb+"); sendText=sendFile.write(fileText.encode()); print("\nprofile changed.\n"); def deleteProfile(profileName): #delete profile os.remove(str(home)+"\\.ResourceMonitor\\"+profileName); print("\nProfile deleted successfully"); #argument parser parser=argparse.ArgumentParser(description="Resource Monitor - AWS EC2",formatter_class=argparse.RawTextHelpFormatter); parser.add_argument("options",help="instance state [ running | stopped | terminated | all ] \ntags [ tagged | untagged | tags ]\nconfiguration [ configure | createprofile | deleteprofile ]" "\n\n[instance state]\n\nrunning = display all running instances\nstopped = display all stopped instances\nterminated = display all terminated instances" "\nall = diplay all instances" "\n\n[tags]\n\ntagged = display all tagged instances\nuntagged = display all untagged instances\ntags = display all tagged and untagged instances\n\n[Configuration]\n\nconfigure = configure authentication keys\ncreateprofile = create new profile" "\ndeleteprofile = delete the created profile\n\n[ Config file location : C:\\Users\\..\\.ResourceMonitor ]"); parser.add_argument("--region",help="Regions"); parser.add_argument("--profile",help="Profile Name"); get=checkConfig(); args=parser.parse_args(); if args.options=="configure": #configure authentication keys configure(); elif args.options=="createprofile": #create new profile createProfile(); elif args.options=="deleteprofile": #delete profile profileName=input("PROFILE NAME: "); deleteProfile(profileName); elif not get==0: #checking config files print("No config file detected. type > monitor configure"); sys.exit(); #action for arguments if args.options=="running": #running if args.profile: profile(args.profile); if args.region: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY PAIR NAME\t\tTOTAL\n"); connects=boto3.resource('ec2',args.region); connect=boto3.client('ec2',args.region); i=regions.index(args.region); StatusInstances("running"); else: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY PAIR NAME\t\tTOTAL\n"); for i in range(0,10): connects=boto3.resource('ec2',regions[i]); connect=boto3.client('ec2',regions[i]); StatusInstances("running"); if args.options=="stopped": #stopped if args.profile: profile(args.profile); if args.region: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY PAIR NAME\t\tTOTAL\n"); connects=boto3.resource('ec2',args.region); connect=boto3.client('ec2',args.region); i=regions.index(args.region); StatusInstances("stopped"); else: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY PAIR NAME\t\tTOTAL\n"); for i in range(0,10): connects=boto3.resource('ec2',regions[i]); connect=boto3.client('ec2',regions[i]); StatusInstances("stopped"); if args.options=="terminated": #terminated if args.profile: profile(args.profile); if args.region: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY PAIR NAME\t\tTOTAL\n"); connects=boto3.resource('ec2',args.region); connect=boto3.client('ec2',args.region); i=regions.index(args.region); StatusInstances("terminated"); else: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY PAIR NAME\t\tTOTAL\n"); for i in range(0,10): connects=boto3.resource('ec2',regions[i]); connect=boto3.client('ec2',regions[i]); StatusInstances("terminated"); if args.options=="all": #all [running,stopped,terminated] if args.profile: profile(args.profile); if args.region: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY PAIR NAME\t\tTOTAL\n"); connects=boto3.resource('ec2',args.region); connect=boto3.client('ec2',args.region); i=regions.index(args.region); StatusInstances("running"); StatusInstances("stopped"); StatusInstances("terminated"); else: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY PAIR NAME\t\tTOTAL\n"); for i in range(0,10): connects=boto3.resource('ec2',regions[i]); connect=boto3.client('ec2',regions[i]); StatusInstances("running"); StatusInstances("stopped"); StatusInstances("terminated"); if args.options=="tagged": #tagged if args.profile: profile(args.profile); if args.region: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY NAME\t\tKEY VALUE\n"); i=regions.index(args.region); connects=boto3.resource('ec2',args.region); connect=boto3.client('ec2',args.region); filterByTag(1); else: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY NAME\t\tKEY VALUE\n"); for i in range(0,10): connects=boto3.resource('ec2',regions[i]); connect=boto3.client('ec2',regions[i]); filterByTag(1); if args.options=="untagged": #untagged if args.profile: profile(args.profile); if args.region: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY NAME\t\tKEY VALUE\n"); i=regions.index(args.region); connects=boto3.resource('ec2',args.region); connect=boto3.client('ec2',args.region); filterByTag(2); else: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY NAME\t\tKEY VALUE\n"); for i in range(0,10): connects=boto3.resource('ec2',regions[i]); connect=boto3.client('ec2',regions[i]); filterByTag(2); if args.options=="tags": #tags[tagged and untagged] if args.profile: profile(args.profile); if args.region: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY NAME\t\tKEY VALUE\n"); i=regions.index(args.region); connects=boto3.resource('ec2',args.region); connect=boto3.client('ec2',args.region); filterByTag(0); else: print("\nREGION\t\tZONE\t\tINSTANCE TYPE\t\tINSTANCE ID\t\tPUBLIC IP ADDRESS\t\tKEY NAME\t\tKEY VALUE\n"); for i in range(0,10): connects=boto3.resource('ec2',regions[i]); connect=boto3.client('ec2',regions[i]); filterByTag(0); restore();

[ "arvindkec18@gmail.com" ]

arvindkec18@gmail.com

c4f6f2ac9cf581a356a86df581ca76f783be41d4

cae30a18b2329ed1c3113b48dbe5095096e7d297

/sample/app/settings.py

905864248f2ccd8e175e82812b67645348153001

[ "BSD-2-Clause", "BSD-3-Clause" ]

permissive

hdknr/djpress

a477c0d8996ee378d27db055361778a5e018daa1

9f482d87f2e1f40938dac313bf4c7c3c61ed812f

refs/heads/master

2020-12-10T21:03:28.982405

2017-05-31T12:27:02

40,709,249

0

null

UTF-8

Python

false

3,258

py

""" Django settings for app project. Generated by 'django-admin startproject' using Django 1.8.3. For more information on this file, see https://docs.djangoproject.com/en/1.8/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.8/ref/settings/ """ # Build paths inside the project like this: os.path.join(BASE_DIR, ...) import os BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/1.8/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '(qdtn4=ec!2+orr86226&m3@-i@lnx+n*4o**u9xjz8k9l8c1(' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = ( 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ) MIDDLEWARE_CLASSES = ( 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.auth.middleware.SessionAuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'django.middleware.security.SecurityMiddleware', ) ROOT_URLCONF = 'app.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'app.wsgi.application' # Database # https://docs.djangoproject.com/en/1.8/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Internationalization # https://docs.djangoproject.com/en/1.8/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/1.8/howto/static-files/ STATIC_URL = '/static/' #### LANGUAGE_CODE = 'ja' TIME_ZONE = 'Asia/Tokyo' INSTALLED_APPS += ( 'djpress', ) STATIC_ROOT = os.path.join(BASE_DIR, 'assets/') STATIC_URL = '/assets/' try: from local_settings import configure configure(globals()) except: pass try: from app import logs LOGGING = logs.LOGGING except: pass try: from app.databases import DatabaseRouter DATABASES.update(DatabaseRouter.confs()) DATABASE_ROUTERS = [DatabaseRouter.router()] except: pass DJPRESS_KEY = 'this is the secret.' MIDDLEWARE_CLASSES += ( 'djpress.middleware.Middleware', 'app.middleware.SettingsMiddleware', )

[ "gmail@hdknr.com" ]

gmail@hdknr.com

1e998c835edcbb4c3b2f76f6cc444af4a37474dd

ef5b59fe56c3a0b68578b58580f769e3e5713c3a

/scripts/gen_index.py

46438ccadb4feee62cca3c4b1ddfd10072e58db8

[]

no_license

noahsug/space

7472f270d6005dc2ee9db0d5f085deaaa7609c1c

abe68e06708eb05d19c1fb2e365258ebc323c8ce

refs/heads/master

2020-12-24T15:58:25.345015

2015-10-22T21:57:54

25,186,464

1

0

null

UTF-8

Python

false

2,697

py

import fnmatch import os.path import re excluded_files = [ 'di/*', 'util/*' ] impl_files = [] test_impl_files = [] for root, dirnames, filenames in os.walk('app/js'): for filename in filenames: path = os.path.join(root, filename)[len('app/js/'):] should_add = True; for excluded_file in excluded_files: if fnmatch.fnmatch(path, excluded_file): should_add = False; break if not should_add: continue impl_files.append('<script src="js/%s"></script>' % (path)) test_impl_files.append('<script src="../app/js/%s"></script>' % (path)) test_files = [] for root, dirnames, filenames in os.walk('test/js'): for filename in filenames: path = os.path.join(root, filename)[len('test/'):] test_files.append('<script src="%s"></script>' % (path)) mock_files = [] for root, dirnames, filenames in os.walk('test/mock'): for filename in filenames: if not fnmatch.fnmatch(filename, 'mock_manager.js'): path = os.path.join(root, filename)[len('test/'):] mock_files.append('<script src="%s"></script>' % (path)) ## Write index.html index_file = open('app/index.html', 'r') index_html = index_file.read(); index_file.close(); impl_files_pattern = re.compile('/di\.js.*?' + '(<script.*</script>)' + '.*?<body', re.M | re.S) match = re.search(impl_files_pattern, index_html); index_html = index_html.replace(match.group(1), '\n '.join(impl_files)); index_file = open('app/index.html', 'w') index_file.write(index_html); index_file.close(); ## Write test_runner.html test_file = open('test/test_runner.html', 'r') test_html = test_file.read(); test_file.close(); # test impl files test_impl_files_pattern = re.compile('/di\.js.*?' + '(<script.*</script>)' + '.*', re.M | re.S) match = re.search(test_impl_files_pattern, test_html); test_html = test_html.replace(match.group(1), '\n '.join(test_impl_files)); # mock files mock_files_pattern = re.compile('/mock_manager\.js.*?' + '(<script.*</script>)' + '.*', re.M | re.S) match = re.search(mock_files_pattern, test_html); test_html = test_html.replace(match.group(1), '\n '.join(mock_files)); # test files test_files_pattern = re.compile('\"test_environment\.js.*?' + '(<script.*</script>)', re.M | re.S) match = re.search(test_files_pattern, test_html); test_html = test_html.replace(match.group(1), '\n '.join(test_files)); test_file = open('test/test_runner.html', 'w') test_file.write(test_html); test_file.close();

[ "sugarman@google.com" ]

sugarman@google.com

3fb3276f5ca2daccf98e9e4f20943e8700298d82

f81b8a10249df65e7e242717a53913432716c3b5

/testinvenio/records/permissions.py

6657d874bd74d9099fc88c4fd4b3ff22aef0e44f

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

permissive

Alzpeta/testinvenio

68f14d2b90e9a7524a1e72051098ec2af2a93e07

210e4b6ce6b1edcb2ce9ded1bc683745e7eb421a

refs/heads/master

2023-01-04T13:18:52.704975

2020-11-02T17:51:35

300,592,582

0

null

UTF-8

Python

false

411

py

# -*- coding: utf-8 -*- # # Copyright (C) 2020 alzp. # # testInvenio is free software; you can redistribute it and/or modify it # under the terms of the MIT License; see LICENSE file for more details. """Permissions for testInvenio.""" from invenio_access import Permission, any_user def files_permission_factory(obj, action=None): """Permissions factory for buckets.""" return Permission(any_user)

[ "alzbeta.pokorna@cesnet.cz" ]

alzbeta.pokorna@cesnet.cz

25950a0c8324fe9133c09093b521017005ebb5e3

49663f8e687b6df7f8662a7c5d2d56099c73234b

/crawl/company.py

514bf0d3d63042c52548bf8283b440e2a5b74b6d

[]

no_license

mohammadyousuf/crawler

afb91f19b9c3ce4b59876886841ad33b4baa6654

92c5ea30a24e31b4401b811336fac80cf5e20c85

refs/heads/master

2020-12-31T01:23:01.416204

2016-06-14T11:32:27

65,561,917

0

null

2016-08-12T15:05:46

2016-08-12T15:05:45

null

UTF-8

Python

false

186

py

import requests url='http://www.crowdfunder.com/browse/deals&template=false' data={ 'entity_only':'true', 'page':2 } html_post=requests.post(url,data=data) #再用正则来解析

[ "zouxuan0626@gmail.com" ]

zouxuan0626@gmail.com

a09507c7b2dec29ed37933703d1aa4d4a44e9713

cc774d03112e39e0a6233317e24734c216fa9156

/index.py

d2e34ce85710f3d57dd98be96d35422ad9d189eb

[]

no_license

PinkyJangir/list

d38a4e6b52d5012706778d7f58d29b991d8db2d7

7ae5527afffd557040d9d335f115d7e68389bffd

refs/heads/main

2023-08-23T17:07:16.976942

2021-11-05T17:05:34

419,428,289

0

null

UTF-8

Python

false

134

py

num=[4,6,8,3,9,2,10,22,35,] i=0 sum=0 while i<len(num): pos=num.index(num[i]) if pos%2==0: sum+=num[i] i+=1 print(pos) print(sum)

[ "noreply@github.com" ]

PinkyJangir.noreply@github.com

ceaab22f98a359b5e28ae89ceb85a659c9b128cc

24ae9cbef6534da4f43f897c1f03251e47676412

/blog/migrations/0001_initial.py

e963207b8ca0a7249ec1544e77ba3b3e829b348b

[]

no_license

kermit71/my-first-blog

f726381c907ba8bfca53507edd379049aa9aa80d

4088d35444bf591720a216cbe1831c9d6c2c6e5b

refs/heads/master

2020-08-27T06:28:58.768371

2019-10-28T06:47:47

217,270,361

0

null

UTF-8

Python

false

986

py

# Generated by Django 2.2.6 on 2019-10-24 09:49 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Post', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=200)), ('text', models.TextField()), ('created_date', models.DateTimeField(default=django.utils.timezone.now)), ('published_date', models.DateTimeField(blank=True, null=True)), ('author', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), ]

[ "katsushi@gmail.com" ]

katsushi@gmail.com

9a0d948f397408058c143ca7451ef115e421dacc

9d48fcc536cf53ae5b37028012b43b2fe07f0e8a

/backend/projects/models.py

52b01b7eef3dfa65b71ae4ccc37085d69eb605b0

[]

no_license

gda2048/Collections

51ac348ebf93583bce109b75d3f3511255ee5e59

6e00f54e512e4e16945f87b5f70df3d12e80f844

refs/heads/master

2022-12-11T06:24:29.612513

2020-01-10T06:33:52

223,648,250

1

0

null

2022-12-08T06:59:38

2019-11-23T20:24:22

Python

UTF-8

Python

false

2,863

py

from django.core.exceptions import ValidationError from django.db import models from django.db.models.signals import post_save from django.dispatch import receiver from django.utils import timezone from profiles.models import Team, User class Backlog(models.Model): team = models.OneToOneField(Team, on_delete=models.CASCADE, primary_key=True, related_name='backlog') def __str__(self): return self.team.name class Meta: db_table = 'backlogs' verbose_name = 'Backlog' verbose_name_plural = 'Backlogs' @receiver(post_save, sender=Team) def create_favorites(sender, instance, created, **kwargs): if created: Backlog.objects.create(team=instance) class Collection(models.Model): team = models.ForeignKey(Team, on_delete=models.CASCADE, related_name='collections') name = models.CharField(max_length=255) description = models.CharField(max_length=1023, blank=True, default='') date_created = models.DateTimeField(default=timezone.now) def __str__(self): return f'{self.team.name}:{self.name}' class Meta: db_table = 'collections' verbose_name = 'Collection' verbose_name_plural = 'Collections' ordering = ['-date_created'] class List(models.Model): name = models.CharField(max_length=255) collection = models.ForeignKey(Collection, on_delete=models.CASCADE, related_name='lists') date_created = models.DateTimeField(default=timezone.now) def __str__(self): return self.name class Meta: db_table = 'lists' verbose_name = 'List' verbose_name_plural = 'Lists' ordering = ['-date_created'] class Item(models.Model): name = models.CharField(max_length=255) description = models.CharField(max_length=1023, blank=True, default='') start_date = models.DateTimeField('Date created', default=timezone.now) last_change = models.DateTimeField('Last change date', auto_now=True) end_date = models.DateTimeField('Deadline date', default=timezone.now, null=True) units = models.PositiveIntegerField('Number of units', default=0) assigned_user = models.ForeignKey(User, on_delete=models.CASCADE, related_name='assigned_items', null=True) creator = models.ForeignKey(User, on_delete=models.CASCADE, related_name='created_items') backlog = models.ForeignKey(Backlog, on_delete=models.CASCADE, related_name='items') list = models.ForeignKey(List, on_delete=models.CASCADE, related_name='items', null=True) def __str__(self): return self.name def clean(self): if self.list and self.list.collection.team != self.backlog.team: raise ValidationError('Items can be added only from the team backlog') class Meta: db_table = 'items' verbose_name = 'Item' verbose_name_plural = 'Items'

[ "goncharovdma@gmail.com" ]

goncharovdma@gmail.com

933b91b45f6fecffc5ae724e69228611d5645c2a

8a2188817aa77badb3f2b1effdf51687da437a55

/Biblioteca/Biblioteca/apps/estudiantes/views.py

5fff51dae47b855fb4b0fbb56e9abe08590b3d7f

[]

no_license

juanjavierlimachi/Biblioteca

9e3d41b130ed77e72424c35e6e62832704ee5858

7b839220e9b2ea67c965b722d94467acadb37aae

refs/heads/master

2016-09-09T22:19:56.334965

2015-07-17T03:26:47

39,229,848

0

null

UTF-8

Python

false

1,177

py

from django.shortcuts import render, render_to_response from django.views.generic import CreateView,TemplateView,ListView from django.http import HttpResponseRedirect from django.template import RequestContext from .formularios import * from Biblioteca.apps.libro.models import Libro # Create your views here. def Reservrlibros(request,id): id_libro=id if request.method=='POST': form=reservaForm(request.POST) if form.is_valid(): estu=Estudiante() estu.nombre=request.POST['nombre'] estu.establecimiento=request.POST['establecimiento'] estu.ci=request.POST['ci'] estu.Libro_id=id_libro estu.save() return HttpResponseRedirect('/reservaExitosa/') else: form=reservaForm() return render_to_response('libros/reservas.html',{'form':form},context_instance=RequestContext(request)) def MostrarReservas(request): reservas=Estudiante.objects.all() libros=Libro.objects.all() return render_to_response('estudiantes/MostrarReservas.html',{'reservas':reservas,'libros':libros},context_instance=RequestContext(request)) class ConsultaLibros(ListView): template_name='estudiantes/ConsultaLibros.html' model = Libro context_object_name = 'libros'

[ "juan@hotmail.com" ]

juan@hotmail.com

9fa22717f26d1ef4a14e25f2e2d3c08434fd32a0

1af1f89eb9a178b95d1ba023b209b7538fb151f0

/Algorithms/139. Word Break.py

577d67934255597ccca105fd503a93467072e38f

[]

no_license

0xtinyuk/LeetCode

77d690161cc52738e63a4c4b6595a6012fa5c21e

08bc96a0fc2b672282cda348c833c02218c356f1

refs/heads/master

2023-02-21T16:58:39.881908

2021-01-25T08:00:13

292,037,842

0

null

UTF-8

Python

false

369

py

class Solution: def wordBreak(self, s: str, wordDict: List[str]) -> bool: f=[False]*(len(s)+1) f[0]=True for i in range(len(s)): if f[i]: for word in wordDict: l=len(word) if (i+l<=len(s)) and (word==s[i:i+l]): f[i+l]=True return f[len(s)]

[ "xliu301@uottawa.ca" ]

xliu301@uottawa.ca

9fd1fc7708f649c1fe1972ea6d7e4f1dda742923

9de33c12dc876c0f5acf766aee49689e3ab76a97

/281a.py

52a292b2dac442531f89662aec87ec43b3aa6098

[]

no_license

PinkFromTheFuture/codeforces

91061d8a35e995566e752d290bc264505eee3bc8

bf512e92f985467281fd7a36be9ca9197ec37b3c

refs/heads/master

2022-05-27T06:54:40.546999

2018-09-26T05:05:50

null

0

null

UTF-8

Python

false

542

py

# http://codeforces.com/problemset/problem/281/A # Capitalization is writing a word with its first letter as a capital letter. # Input # A single line contains a non-empty word. This word consists of lowercase and uppercase English letters. The length of the word will not exceed 10^3. word = input() # Your task is to capitalize the given word. # Note, that during capitalization all the letters except the first one remains unchanged. word = word[0].upper() + word[1:] # Output # Output the given word after capitalization. print(word)

[ "eduardoxfurtado@gmail.com" ]

eduardoxfurtado@gmail.com

4150bb6a4a34ce887a39ed8abcde93662b505e47

262635145ffd34696c42dec3970b0523a2081f8b

/simple-cipher/simple_cipher.py

c4b5e4f6063b7d729adba5168e5e4c8f5b23bf54

[ "MIT" ]

permissive

amalshehu/exercism-python

9ff347ab9dde7338d01ccc94edbe0aa538f14a03

eb469246504fb22463e036a989dc9b44e0a83410

refs/heads/master

2020-04-17T17:28:02.482703

2016-10-25T17:51:54

66,532,839

5

0

null

UTF-8

Python

false

1,712

py

# File: simple_cipher.py # Purpose: Implement a simple shift cipher like Caesar and a more secure substitution cipher # Programmer: Amal Shehu # Course: Exercism # Date: Monday 26 September 2016, 02:00 AM import random from string import ascii_lowercase letters = ascii_lowercase class Cipher(): """Generate a key for Cipher if not provided.""" def __init__(self, key=None): if not key: key = ''.join(random.SystemRandom().choice(ascii_lowercase) for _ in range(150)) elif not key.isalpha() or not key.islower(): raise ValueError('Invalid key') self.key = key def encode(self, text): key = self.key while len(key) < len(text): key += self.key cipher = "" for i in range(len(text)): letter = text.lower()[i] if letter in letters: cipher += letters[(letters.index(letter)+letters.index(key[i])) % 26] return cipher def decode(self, ciph): key = self.key while len(key) < len(ciph): key += self.key txt = "" for i in range(len(ciph)): letter = ciph.lower()[i] if letter in letters: txt += letters[(letters.index(letter)-letters.index(key[i])) % 26] return txt class Caesar(): def encode(self, text): return ''.join([letters[(letters.index(letter)+3) % 26] \ for letter in text.lower() if letter in letters]) def decode(self, ciph): return ''.join([letters[(letters.index(letter)-3) % 26] \ for letter in ciph.lower() if letter in letters])

[ "amalshehu@gmail.com" ]

amalshehu@gmail.com

0f527b4f593714362ae575fb6b0d141dc375912e

55a411a77f23fd827cfbf86524dc2317b67a0097

/File2.py

1a75839138907e68ddb3bb5a0384db80ad48a34b

[]

no_license

imradhetiwari/python

83896d79f7d47fa767b09f22719fbf5111877c02

b302082bf076d9d1e610c2b38371c22fc8c7d562

refs/heads/master

2022-04-25T02:43:51.054655

2020-04-26T04:43:59

258,942,096

0

null

UTF-8

Python

false

162

py

import File1 print("File2 __name__ = %s" %__name__) if __name__ == "__main__": print("File2 is being run directly") else: print("File2 is being imported")

[ "radhetiwari001@gmail.com" ]

radhetiwari001@gmail.com

eedec90b012beec34fb98a45089fbfea5ae876f5

c8270ad3297129247451b06102c85b88b8aacc89

/Hangman- Angel Vasquez.py

fa56ee644d5df979f9f48f40007660dc0401cbc3

[]

no_license

AngelVasquez20/CSE

99a73d1d8e0c53c8dc63a49fced0bf37f29fafc9

db2c67a935f21bcd47cfd60a25cf6620ec3008c8

refs/heads/master

2020-04-02T07:50:58.341218

2019-05-23T21:26:33

154,217,556

0

null

UTF-8

Python

false

1,123

py

import random import string guess = 8 pun = list(string.punctuation) alphabet = list(string.ascii_letters) words = ["Apple", "Word", "Backpack", "Pencil", "Legs", "Mouse", "Dog", "Cat", "Myth", "Shoe", "I love dogs!"] random = random.choice(words) random_word = list(random) letters_guessed = [] win = False for i in range(len(random)): if random[i] in alphabet: random_word.pop(i) random_word.insert(i, "_") if random[i] in pun: random_word.insert(i, "!") print(' '.join(random_word)) while guess > 0 and not win: guess1 = input("Guess a letter: ") print(guess) letters_guessed.append(guess1.lower()) for i in range(len(random)): if random[i].lower() in letters_guessed: random_word.pop(i) random_word.insert(i, random[i]) if guess1.lower() not in random_word and guess1.upper() not in random_word: guess -= 1 print("".join(random_word)) if "_" not in random_word: win = True print("Well done winner you have guessed the word.")

[ "42391751+AngelVasquez20@users.noreply.github.com" ]

42391751+AngelVasquez20@users.noreply.github.com

98ed281e779a38d3a97dcf894060c68eaf321f8c

09e57dd1374713f06b70d7b37a580130d9bbab0d

/benchmark/startQiskit_QC1095.py

ba9aa4a123022af05dc1e50f899c06c927cc5564

[ "BSD-3-Clause" ]

permissive

UCLA-SEAL/QDiff

ad53650034897abb5941e74539e3aee8edb600ab

d968cbc47fe926b7f88b4adf10490f1edd6f8819

refs/heads/main

2023-08-05T04:52:24.961998

2021-09-19T02:56:16

405,159,939

2

0

null

UTF-8

Python

false

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py

# qubit number=5 # total number=54 import cirq import qiskit from qiskit import IBMQ from qiskit.providers.ibmq import least_busy from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister from qiskit import BasicAer, execute, transpile from pprint import pprint from qiskit.test.mock import FakeVigo from math import log2,floor, sqrt, pi import numpy as np import networkx as nx def build_oracle(n: int, f) -> QuantumCircuit: # implement the oracle O_f^\pm # NOTE: use U1 gate (P gate) with \lambda = 180 ==> CZ gate # or multi_control_Z_gate (issue #127) controls = QuantumRegister(n, "ofc") oracle = QuantumCircuit(controls, name="Zf") for i in range(2 ** n): rep = np.binary_repr(i, n) if f(rep) == "1": for j in range(n): if rep[j] == "0": oracle.x(controls[j]) # oracle.h(controls[n]) if n >= 2: oracle.mcu1(pi, controls[1:], controls[0]) for j in range(n): if rep[j] == "0": oracle.x(controls[j]) # oracle.barrier() return oracle def make_circuit(n:int,f) -> QuantumCircuit: # circuit begin input_qubit = QuantumRegister(n,"qc") classical = ClassicalRegister(n, "qm") prog = QuantumCircuit(input_qubit, classical) prog.h(input_qubit[0]) # number=3 prog.h(input_qubit[1]) # number=4 prog.h(input_qubit[2]) # number=5 prog.h(input_qubit[1]) # number=29 prog.cz(input_qubit[3],input_qubit[1]) # number=30 prog.h(input_qubit[1]) # number=31 prog.h(input_qubit[3]) # number=6 prog.h(input_qubit[4]) # number=21 Zf = build_oracle(n, f) repeat = floor(sqrt(2 ** n) * pi / 4) for i in range(repeat): prog.append(Zf.to_gate(), [input_qubit[i] for i in range(n)]) prog.h(input_qubit[0]) # number=1 prog.h(input_qubit[1]) # number=2 prog.h(input_qubit[2]) # number=7 prog.h(input_qubit[3]) # number=8 prog.h(input_qubit[0]) # number=38 prog.cz(input_qubit[1],input_qubit[0]) # number=39 prog.h(input_qubit[0]) # number=40 prog.h(input_qubit[0]) # number=51 prog.cz(input_qubit[1],input_qubit[0]) # number=52 prog.h(input_qubit[0]) # number=53 prog.cx(input_qubit[1],input_qubit[0]) # number=48 prog.x(input_qubit[0]) # number=49 prog.cx(input_qubit[1],input_qubit[0]) # number=50 prog.cx(input_qubit[1],input_qubit[0]) # number=47 prog.h(input_qubit[4]) # number=41 prog.cx(input_qubit[1],input_qubit[0]) # number=37 prog.x(input_qubit[1]) # number=10 prog.h(input_qubit[2]) # number=25 prog.cz(input_qubit[0],input_qubit[2]) # number=26 prog.h(input_qubit[2]) # number=27 prog.x(input_qubit[2]) # number=23 prog.cx(input_qubit[0],input_qubit[2]) # number=24 prog.cx(input_qubit[0],input_qubit[3]) # number=32 prog.x(input_qubit[3]) # number=33 prog.h(input_qubit[3]) # number=42 prog.cz(input_qubit[0],input_qubit[3]) # number=43 prog.h(input_qubit[3]) # number=44 if n>=2: prog.mcu1(pi,input_qubit[1:],input_qubit[0]) prog.x(input_qubit[0]) # number=13 prog.x(input_qubit[1]) # number=14 prog.x(input_qubit[2]) # number=15 prog.x(input_qubit[3]) # number=16 prog.h(input_qubit[0]) # number=17 prog.h(input_qubit[1]) # number=18 prog.h(input_qubit[2]) # number=19 prog.h(input_qubit[3]) # number=20 # circuit end for i in range(n): prog.measure(input_qubit[i], classical[i]) return prog if __name__ == '__main__': key = "00000" f = lambda rep: str(int(rep == key)) prog = make_circuit(5,f) IBMQ.load_account() provider = IBMQ.get_provider(hub='ibm-q') provider.backends() backend = least_busy(provider.backends(filters=lambda x: x.configuration().n_qubits >= 2 and not x.configuration().simulator and x.status().operational == True)) sample_shot =7924 info = execute(prog, backend=backend, shots=sample_shot).result().get_counts() backend = FakeVigo() circuit1 = transpile(prog,backend,optimization_level=2) writefile = open("../data/startQiskit_QC1095.csv","w") print(info,file=writefile) print("results end", file=writefile) print(circuit1.depth(),file=writefile) print(circuit1,file=writefile) writefile.close()

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""" WSGI config for webAdminClient project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/1.10/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_SETTINGS_MODULE", "webAdminClient.settings") application = get_wsgi_application()

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import json import requests from rich import print as rprint requests.packages.urllib3.disable_warnings() def get_token(): token_url = "https://10.10.20.65/api/fdm/v5/fdm/token" headers = {"Accept": "application/json", "Content-Type": "application/json"} payload = {"grant_type": "password", "username": "admin", "password": "Cisco1234"} token_response = requests.post( token_url, headers=headers, data=json.dumps(payload), verify=False ) token_response.raise_for_status() if token_response.status_code == 200: rprint("Token Received...\n") token = token_response.json()["access_token"] return token def create_network(token): network_url = "https://10.10.20.65/api/fdm/v5/object/networks" headers = { "Accept": "application/json", "Content-Type": "application/json", "Authorization": f"Bearer {token}", } payload = { "name": "CBTN1", "description": "NUGGETS", "subType": "NETWORK", "value": "99.88.77.0/24", "dnsResolution": "IPV4_ONLY", "type": "networkobject", } create_response = requests.post( network_url, headers=headers, data=json.dumps(payload), verify=False ) create_response.raise_for_status() if create_response.status_code == 200: rprint("[green]SUCCESS[/green]: New Object Created") rprint(create_response.text) if __name__ == "__main__": token = get_token() create_network(token=token)

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Card = collections.namedtuple('Card', ['rank', 'suit']) class Poker(MutableSequence): # 扑克牌的相关定义 ranks = [str(n) for n in range(2, 11)] + list('JQKA') suits = 'spades hearts diamonds clubs'.split() # 黑桃，红桃，方块，梅花 suit_values = dict(spades=3, hearts=2, diamonds=1, clubs=0)#黑桃最大，红桃次之，方块再次之，梅花最小 def __init__(self): self._cards = [Card(rank, suit) for rank in self.ranks for suit in self.suits] def __len__(self): return len(self._cards) def __getitem__(self, position): # 仅仅实现了__getitem__方法，该对象就变成可迭代的 return self._cards[position] def __setitem__(self, position, value): self._cards[position] = value def __delitem__(self, position): del self._cards[position] def insert(self, position, value): self._cards[position] = value Own_Poker = collections.namedtuple('Own_Poker', ['id', 'rank', 'suit', 'score']) class Player(): ''' 牌型　　豹子：三张同样大小的牌。　　顺金：花色相同的三张连牌。　　金花：三张花色相同的牌。　顺子：三张花色不全相同的连牌。　　对子：三张牌中有两张同样大小的牌。　　单张：除以上牌型的牌。 ''' def __init__(self, id, poker): self.id = id self.poker = poker #一副扑克牌 self.pokers = [] #玩家手中的牌 self.type = 0 # 每个人初始都假定为三张毫无关系的牌，也就是扑克牌赢法中的“单张” def set_card_score(self, card): ''' 按照点数判定扑克牌的大小 :param card:扑克牌卡片 :return:扑克牌点数大小 ''' rank_value = Poker.ranks.index(card.rank) suit_values = Poker.suit_values return rank_value * len(suit_values) + suit_values[card.suit] def sort_card_index(self, rank_index_list): ''' 通过值减下标的方式分组,如果三个值连续则被分配到同一个g中比如说ll=[3,4,5,7,8]，分组时，enumerate(ll)=[(0,3),(1,4),(2,5),(3,7),(4,8)],fun函数值减下标，结果一样的，就归为一组在本程序中，如果是三张连续的扑克牌，则应该是同一个g中，此时返回为Ture，否则为False :param rank_index_list: :return: ''' fun = lambda x: x[1] - x[0] for k, g in groupby(enumerate(rank_index_list), fun): # 返回一个产生按照fun进行分组后的值集合的迭代器. if len([v for i, v in g]) == 3: return True return False def judge_type(self): ''' 玩家随机发完三张牌后，根据扑克牌玩法进行区分，对手中的牌进行判别属于哪种类型 :return: ''' suit_list = [] rank_list = [] score_list = [] for poker in self.pokers: suit_list.append(poker.suit) rank_list.append(poker.rank) score_list.append(poker.score) rank_index_list = [] # 扑克牌卡片在Poker中rank中的index for rank in rank_list: index = self.poker.ranks.index(rank) rank_index_list.append(index) if len(set(rank_list)) == 1: self.type = 5 # 豹子 elif len(set(suit_list)) == 1: if self.sort_card_index(rank_index_list): self.type = 4 # 顺金 else: self.type = 3 # 金花 elif self.sort_card_index(rank_index_list): self.type = 2 # 顺子 elif len(set(rank_list)) == 2: self.type = 1 # 对子 def play(self): self.judge_type() class Winner(): def __init__(self, player1, player2): self.player1 = player1 self.player2 = player2 def get_max_card(self, player): ''' 筛选出三张牌中最大的牌，这里返回的是在ranks中的index :param player: :return: ''' ranks = Poker.ranks rank_index_list = [] # 扑克牌卡片在Poker中rank中的index for poker in player.pokers: index = ranks.index(poker.rank) rank_index_list.append(index) return max(rank_index_list) def get_card_suit(self, player): ''' 返回扑克牌花色大小 :param player: :return: ''' suit_values = Poker.suit_values suit = player.pokers[0].suit return suit_values[suit] def get_card_value(self, player): ''' 当牌型是对子的时候，经过匹配找出是对子的牌和单个的牌，这里返回的是牌的index，便于比较大小 :param player: :return: ''' ranks = Poker.ranks rank_index_dict = {} # 扑克牌卡片在Poker中rank中的index repeat_rank_value = 0 # 成对的两张扑克牌的大小 single_rank_value = 0 # 单个的扑克牌的大小 for poker in player.pokers: index = ranks.index(poker.rank) if index in rank_index_dict: rank_index_dict[index] += 1 else: rank_index_dict[index] = 1 rank_index_dict = sorted(rank_index_dict.items(), key=lambda d: d[1], reverse=True) n = 0 for key in rank_index_dict: if n == 0: repeat_rank_value = key else: single_rank_value = key n += 1 return repeat_rank_value, single_rank_value def get_player_score(self, player): ''' 当牌型为单牌时，计算手中的牌相加后的值大小 :param player: :return: ''' ranks = Poker.ranks score = 0 for poker in player.pokers: index = ranks.index(poker.rank) # 扑克牌卡片在Poker中rank中的index score += index return score def get_winner(self): player1, player2 = self.player1, self.player2 # 先比较玩家手中的牌型，大的胜出,玩牌的规则暂时不涉及到牌色，如有修改可以在此基础上调整 # 豹子> 顺金 > 金花 > 顺子 > 对子 > 单张 if player1.type > player2.type: return player1 elif player1.type < player2.type: return player2 else: # 当玩家双方手中的牌型一致时，根据赢法一一判断 if player1.type == 5 or player1.type == 4 or player1.type == 2: # 豹子、顺金、顺子规则说明：按照比点 if self.get_max_card(player1) > self.get_max_card(player2): return player1 else: return player2 elif player1.type == 1: # 对子规则说明：先比较相同两张的值的大小，谁大谁胜出；如果对子相同，再比较单个 repeat_rank_value1, single_rank_value1 = self.get_card_value(player1) repeat_rank_value2, single_rank_value2 = self.get_card_value(player1) if repeat_rank_value1 > repeat_rank_value2: return player1 elif repeat_rank_value1 < repeat_rank_value2: return player2 else: if single_rank_value1 > single_rank_value2: return player1 elif single_rank_value1 < single_rank_value2: return player2 else: return None # 平局，大家手上的牌一样大 else: # 单牌，金花规则：比较所有牌的点数大小，不区分牌色 if self.get_player_score(player1) > self.get_player_score(player2): return player1 elif self.get_player_score(player1) < self.get_player_score(player2): return player2 else: return None def compare_card(card1, card2): ''' 比较两种扑克牌是否相同 :param card1: :param card2: :return: 相同返回为True，否则为False ''' if card1.rank == card2.rank and card1.suit == card2.suit: return True return False def dutch_official_work(poker, player1, player2): ''' 发牌人（荷官）给两位玩家轮替发牌，发出去的牌都需要从这副扑克牌中剔除出去 :param poker: 那一副扑克牌 :param player1:玩家1 :param player2:玩家2 :return:整理后的扑克牌 ''' def distribute_card(player): card = choice(poker) # 发牌 player.pokers.append(Own_Poker(player.id, card.rank, card.suit, player.set_card_score(card))) for i in range(len(poker)): if compare_card(card, poker[i]): poker.__delitem__(i) break shuffle(poker) # 洗牌 for k in range(3): distribute_card(player1) distribute_card(player2) return poker

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bopopescu/newGitTest

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from __future__ import absolute_import, division, print_function from .server import Server, to_tree, from_tree, api from .client import ExprClient, Client

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#!/usr/bin/python3 # -*- coding: utf-8 -*- # # 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. # # Copyright (C) 2017, Kai Raphahn <kai.raphahn@laburec.de> # import unittest import easyb.command import easyb.message from easyb.definitions import Direction, Length, Priority __all__ = [ "TestMessage" ] # noinspection DuplicatedCode class TestMessage(unittest.TestCase): """Testing class for message coding and decoding module.""" def setUp(self): """set up test. """ return def tearDown(self): """tear down test. """ return def test_message_1(self): message = easyb.message.Message() self.assertNotEqual(message, None) self.assertIs(message.address, 0) self.assertIs(message.code, 0) self.assertEqual(message.priority, Priority.NoPriority) self.assertEqual(message.length, Length.Byte3) self.assertEqual(message.direction, Direction.FromMaster) self.assertEqual(message.param, []) self.assertIsNone(message.stream) return def test_message_2(self): message = easyb.message.Message(address=1, code=1, priority=Priority.Priority, length=Length.Byte6, direction=Direction.FromSlave, param=[1, 0]) self.assertNotEqual(message, None) self.assertIs(message.address, 1) self.assertIs(message.code, 1) self.assertEqual(message.priority, Priority.Priority) self.assertEqual(message.length, Length.Byte6) self.assertEqual(message.direction, Direction.FromSlave) self.assertEqual(message.param, [1, 0]) self.assertIsNone(message.stream) return def test_command_1(self): message = easyb.message.Message() command = easyb.command.Command(name="Test", address=1, code=1, length=Length.Byte6, param=[2, 0]) message.command(command) self.assertNotEqual(message, None) self.assertIs(message.address, 1) self.assertIs(message.code, 1) self.assertEqual(message.priority, Priority.NoPriority) self.assertEqual(message.length, Length.Byte6) self.assertEqual(message.direction, Direction.FromMaster) self.assertEqual(message.param, [2, 0]) self.assertIsNone(message.stream) return def test_encode_1(self): message = easyb.message.Message(address=1, code=15, priority=Priority.NoPriority, length=Length.Byte6, direction=Direction.FromMaster, param=[202, 0]) send = bytes([0xfe, 0xf2, 0xed, 0x35, 0x00, 0x47]) check = message.encode() stream = message.stream self.assertTrue(check) self.assertEqual(stream.bytes, send) return def test_encode_2(self): message = easyb.message.Message(address=1, code=15, priority=Priority.NoPriority, length=Length.Byte3, direction=Direction.FromMaster) send = bytes([0xfe, 0xf0, 0xe3]) check = message.encode() stream = message.stream self.assertTrue(check) self.assertEqual(stream.bytes, send) return def test_encode_3(self): message = easyb.message.Message(address=1, code=15, priority=Priority.NoPriority, length=Length.Byte6, direction=Direction.FromMaster, param=[202, 0, 0]) check = message.encode() self.assertFalse(check) return def test_encode_4(self): message = easyb.message.Message(address=1, code=15, priority=Priority.NoPriority, length=Length.Byte6, direction=Direction.FromMaster, param=[202, 0, 0, 0]) check = message.encode() self.assertFalse(check) return def test_encode_5(self): message = easyb.message.Message(address=1, code=15, priority=Priority.NoPriority, length=Length.Byte9, direction=Direction.FromMaster, param=[202, 0, 1, 0]) send = bytes([254, 244, 255, 53, 0, 71, 254, 0, 61]) check = message.encode() self.assertTrue(check) self.assertEqual(message.stream.bytes, send) return def test_encode_6(self): message = easyb.message.Message(address=1, code=15, priority=Priority.NoPriority, length=Length.Byte9, direction=Direction.FromMaster, param=[202, 0, 1, 0, 0, 0]) check = message.encode() self.assertFalse(check) return def test_encode_7(self): message = easyb.message.Message(address=1, code=15, priority=Priority.NoPriority, length=Length.Variable, direction=Direction.FromMaster, param=[202, 0, 1, 0, 0, 0]) check = message.encode() self.assertTrue(check) return def test_decode_1(self): header = [0xfe, 0xf5, 0xf8] message = easyb.message.Message() check = message.decode(bytes(header)) message.info("TEST") self.assertTrue(check) self.assertEqual(message.address, 1) self.assertEqual(message.code, 15) self.assertEqual(message.priority, Priority.NoPriority) self.assertEqual(message.length, Length.Byte9) self.assertEqual(message.direction, Direction.FromSlave) return def test_decode_2(self): header = [0xfe, 0xf5, 0xfc] message = easyb.message.Message() check = message.decode(bytes(header)) self.assertFalse(check) return def test_decode_3(self): header = [0xfe, 0xf5] message = easyb.message.Message() check = message.decode(bytes(header)) self.assertFalse(check) return

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import os.path import torch from torch import nn import yaml from .model import Transformer def load_config(save_dir): with open(os.path.join(save_dir, "config.yaml")) as fh: return yaml.unsafe_load(fh) def load_snapshot(model: nn.Module, save_dir: str): state = torch.load(os.path.join(save_dir, "model.pt"), map_location="cpu") model.load_state_dict(state) def load_model(save_dir, device="cpu"): config = load_config(save_dir) model = Transformer(config, device=device) load_snapshot(model, save_dir) return model def save_model(model: Transformer, save_dir: str): os.makedirs(save_dir, exist_ok=True) torch.save( model.state_dict(), os.path.join(save_dir, "model.pt"), ) with open(os.path.join(save_dir, "config.yaml"), "w") as fh: yaml.dump(model.cfg, fh)

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sreesh-mallya/django-channels-demo

6a1492c2ffe3a8f37782ced19562c629fa65ee8f

8a3ac7d3e04ecd8c5053009f760d84e3b9415882

refs/heads/master

2021-01-23T22:16:04.353634

2017-09-19T03:44:00

102,924,295

2

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import os import channels.asgi os.environ.setdefault("DJANGO_SETTINGS_MODULE", "django_channels.settings") channel_layer = channels.asgi.get_channel_layer()

[ "sreeshsmallya@gmail.com" ]

sreeshsmallya@gmail.com

74dab3259df5726216ab245a698f4ad633b56a07

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/text_mining_code.py

b963126d00a9467c1f36f95a44e716da2f1bd9a2

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no_license

jamiecayley/ALS

32c4e20f0ee9cd7bc04c0a7870dd20b8ad98a175

20a00595adb952eb4ccf74a221cee376d4028900

refs/heads/master

2021-05-27T12:39:25.868830

2014-08-27T02:19:03

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import gzip class TextMinning: def __init__(self, fileName): self.fileName = fileName def read_gz_file_in_chunks(self, chunk_size=1024): '''Lazy function to read a gz file piece by piece Default chunck size: 1K.''' while True: data = file_object.read(chunk_size) if not data: break yield data def create_subsetted_version(self): f = gzip.open(fileName, 'wb') for piece in read_gz_file_in_chunks(f): process_data(piece) fieldnames = ['entrez_id', 'word', 'average_count'] def main(): fileName = "/Users/mtchavez/Downloads/gene_word_matrix_2011.gz" tm = TextMinning(fileName) tm.read_gz_file_in_chunks() tm.create_subsetted_version()

[ "materechm@gmail.com" ]

materechm@gmail.com

1db31bea4b6b755733c4f518e1ca07de05251809

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/django_pro2/wsgi.py

e01dcc3e7ee630f93446db8208db692fa99bfd24

[]

no_license

yadukrishnan369/cybersquare

553280825d0852dd72879b135bc33fc5efcbcd77

356b7e6f430cc813f47c8f94a7e9bfc346cfdc30

refs/heads/master

2023-08-22T11:16:09.047228

2021-10-01T04:04:02

411,560,738

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""" WSGI config for django_pro2 project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.2/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'django_pro2.settings') application = get_wsgi_application()

[ "yadukrish9656@gmail.com" ]

yadukrish9656@gmail.com

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/project/settings.py

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[]

no_license

ravikaran1/civilmain

5180e88b845aa8ede9ee0b3322dbc6e7e7bfa12b

9994e1a62ebe8d30b3561f6ff811ff3b8fc4fa08

refs/heads/master

2023-06-02T00:57:03.882666

2021-06-10T03:06:54

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""" Django settings for project project. Generated by 'django-admin startproject' using Django 3.1.5. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib import Path from django.contrib.messages import constants as messages import os # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'fwg0mp5t-foh^sv%-rh*&4mai)$d2ch$@vp@7v1#1ihm!*=4mt' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] 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 = 'project.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ['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 = 'project.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': BASE_DIR / 'db.sqlite3', } } # Password validation # https://docs.djangoproject.com/en/3.1/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/3.1/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/3.1/howto/static-files/ STATIC_URL = '/static/' MESSAGE_TAGS = { messages.ERROR:'danger', } STATICFILES_DIRS=[ os.path.join(BASE_DIR,'static') ]

[ "ravi5sandhu775@gmail.com" ]

ravi5sandhu775@gmail.com

1665a7e801e38198331918e02cc942dbca6af308

edc399cbe15f6b0c8dff622e2e2445f1913615e4

/train/cnn.py

91b8359226b0493097f9808a574836ab7ead58e8

[]

no_license

mannysinghh11/Colorify

1e9e488df5f14cf94fb8adb0b4b64f3e180c95b1

936ce5538c1a36366e1bddfe2936b078146a4b2a

refs/heads/master

2020-09-15T05:38:57.935914

2019-11-22T22:58:03

223,359,227

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from keras.models import Sequential from keras.layers import Conv2D, UpSampling2D, InputLayer, Conv2DTranspose from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img from skimage.color import rgb2lab, lab2rgb, rgb2gray, xyz2lab from keras.layers import Dense, Dropout, Flatten, Activation, BatchNormalization, regularizers from keras.datasets import cifar10 #to find out more about the dataset from skimage.io import imsave from skimage.transform import rescale, resize from scipy import ndimage, misc from sklearn.model_selection import train_test_split import numpy as np import os import re class CNNModel(object): def __init__(self): self.training_images = [] self.model = self.compile_model() self.traindir2 = "/trainingdata/" # Her we load images from our training images director, sort the files and load those images into an array def set_images(self): # Get images images = os.listdir(self.traindir2) images.sort(key=lambda var: [int(x) if x.isdigit() else x for x in re.findall(r'[^0-9]|[0-9]+', var)]) filelen = len(images)-1 print(len(images)-1) print("This is the length") # Split up training image from dataset self.training_images = images[:filelen] # Here we perform the training by taking all the images, coverting them into an numpyarray representation and loading # those into an array. # Here we also convert image from rgb to lab colorspace def train(self): xSpace = [] ySpace = [] for image in self.training_images: if(".JPEG" in image): train_image = img_to_array(load_img(self.traindir2+image)) train_image = train_image / 255 # We divide by 255 to normalize the representation so its from 0-1 instead of 0-255 xSpace.append(rgb2lab(train_image)[:, :, 0]) # this gives us the L Channel ySpace.append((rgb2lab(train_image)[:, :, 1:]) / 128) # We divide by 128 since ab are represented in -128 - 128 xSpace = np.array(xSpace, dtype=float) ySpace = np.array(ySpace, dtype=float) xSpace = xSpace.reshape(len(xSpace), 64, 64, 1) # Here we reshape our array so it will fit into our model ySpace = ySpace.reshape(len(ySpace), 64, 64, 2) # Train Model. This is the function we use to perform training. # the variable 'history' is used for getting metrics into floydhub history = self.model.fit(x=xSpace, y=ySpace, validation_split=.1, batch_size=1000, epochs=100, verbose=1) def initialModel(self): # building model using keras - Floyd Model model = Sequential() model.add(InputLayer(input_shape=(64, 64, 1))) model.add(Conv2D(64, (3, 3), activation='relu', padding='same')) model.add(Conv2D(64, (3, 3), activation='relu', padding='same', strides=2)) model.add(Conv2D(128, (3, 3), activation='relu', padding='same')) model.add(Conv2D(128, (3, 3), activation='relu', padding='same', strides=2)) model.add(Conv2D(256, (3, 3), activation='relu', padding='same')) model.add(Conv2D(256, (3, 3), activation='relu', padding='same', strides=2)) model.add(Conv2D(512, (3, 3), activation='relu', padding='same')) model.add(Conv2D(256, (3, 3), activation='relu', padding='same')) model.add(Conv2D(128, (3, 3), activation='relu', padding='same')) model.add(UpSampling2D((2, 2))) model.add(Conv2D(64, (3, 3), activation='relu', padding='same')) model.add(UpSampling2D((2, 2))) model.add(Conv2D(32, (3, 3), activation='relu', padding='same')) model.add(Conv2D(2, (3, 3), activation='relu', padding='same')) model.add(UpSampling2D((2, 2))) # Finish model model.compile(optimizer='rmsprop', loss='mse', metrics=["accuracy"]) print("Created model!") return model def compile_model(self): # building model using keras - Floyd Model model = Sequential() model.add(InputLayer(input_shape=(64, 64, 1))) model.add(Conv2D(64, (3, 3), activation='relu', padding='same')) model.add(Conv2D(64, (3, 3), activation='relu', padding='same', strides=2)) model.add(Conv2D(128, (3, 3), activation='relu', padding='same')) model.add(Conv2D(128, (3, 3), activation='relu', padding='same', strides=2)) model.add(Conv2D(256, (3, 3), activation='relu', padding='same')) model.add(Conv2D(256, (3, 3), activation='relu', padding='same', strides=2)) model.add(Conv2D(512, (3, 3), activation='relu', padding='same')) model.add(Conv2D(256, (3, 3), activation='relu', padding='same')) model.add(Conv2D(128, (3, 3), activation='relu', padding='same')) model.add(UpSampling2D((2, 2))) model.add(Conv2D(64, (3, 3), activation='relu', padding='same')) model.add(UpSampling2D((2, 2))) model.add(Conv2D(32, (3, 3), activation='relu', padding='same')) model.add(Conv2D(2, (3, 3), activation='tanh', padding='same')) model.add(UpSampling2D((2, 2))) # Finish model model.compile(optimizer='rmsprop', loss='mse', metrics=["accuracy"]) print("Created model!") return model def ann_model(self): X = [] Y = [] for image in os.listdir(dir): if '.jpg' in image: train_image = img_to_array(load_img(dir + image)) # train_image = scipy.misc.imresize(train_image, (64, 64)) train_image = train_image / 255 X.append(rgb2lab(train_image)[:, :, 0]) Y.append((rgb2lab(train_image)[:, :, 1:]) / 128) X = np.array(X, dtype=float) # this converts it into a huge vector Y = np.array(Y, dtype=float) X = X.reshape(len(X), 255, 255, 1) Y = Y.reshape(len(Y), 255, 255, 2) dimData_input = np.prod(X.shape[1:]) dimData_output = np.prod(Y.shape[1:]) X = X.reshape(X.shape[0], dimData_input) Y = Y.reshape(Y.shape[0], dimData_output) train_images, test_images, train_labels, test_labels = train_test_split(X, Y, test_size = 0.20) model2 = Sequential() model2.add(Dense(1024, activation='relu', input_shape=(input,))) # model4.add(Dense(1024, activation='relu')) # model4.add(Dense(1024, activation='relu')) model2.add(Dense(8192, activation='tanh')) model2.add(Dense(8192, activation='tanh')) model2.summary() def save_model(self): # Save model to disk model_json = self.model.to_json() with open("model.json", "w") as json_file: json_file.write(model_json) self.model.save_weights("model.h5") print("Saved model to disk") ac = CNNModel() ac.set_images() ac.train() ac.save_model()

[ "manpreetdot11@gmail.com" ]

manpreetdot11@gmail.com

379486d00f0e987e17171fdb512a37eede8de8be

2b485c67c723151f73ec96da9f6337a0c9857dae

/easy/q844 backspaceStrCmp.py

14e5a37a7c60bca57bec20299809afd8391389f6

[]

no_license

Anupya/leetcode

c7792e6ac61b655491a1c734f9167281356471d3

cb45e66a41e0c6a8583bb9c4bf846b470ef4bc0f

refs/heads/master

2022-10-10T14:01:22.189414

2022-09-07T21:36:24

151,865,310

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Python

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py

# Given two strings s and t, return true if they are equal when both are typed into empty text editors. '#' means a backspace character. # Note that after backspacing an empty text, the text will continue empty. class Solution: def backspaceCompare(self, s: str, t: str) -> bool: # preprocess s newS = "" for x in s: if x == '#' and len(newS): newS = newS[:-1] if x != '#': newS += x # preprocess t newT = "" for x in t: if x == '#' and len(newT): newT = newT[:-1] if x != '#': newT += x return newS == newT

[ "anupya@hotmail.ca" ]

anupya@hotmail.ca

7b0b6659a3a83edf47364333170527adf0b1588a

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/FaceDetectCamerav3Multiface.py

9632b2a5f904e20776ea76d183b6c6c93be543b9

[]

no_license

pedroZenone/FaceDetection

06eaec9e491359f70bc0f5c0fc740beb53b78b69

56fb2e0ba9e9d97d222365f20402c4d45c843aab

refs/heads/master

2020-04-14T00:10:48.220111

2018-12-29T17:09:13

163,526,709

0

null

UTF-8

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py

# -*- coding: utf-8 -*- """ Created on Tue May 22 14:44:59 2018 @author: pedzenon """ import cv2 from imutils.video import FPS from google.cloud import vision from google.cloud.vision import types import numpy as np from queue import Queue from threading import Thread import operator import pandas as pd # incializo la varible de comunicacion del tread con el main sentiment = pd.DataFrame([['NoSentiment',0,0,0]],columns=['sentiment','x','y','dist']) def main(): # fps.stop() # print(fps.fps()) cam = cv2.VideoCapture(0) window = [] FPSxseg = 12 client = vision.ImageAnnotatorClient() q = Queue() # cola de comunicacion thread - main q.put("Finish") # inicializacion global sentiment face_img = {'NoSentiment':cv2.imread("noSentiment.png",-1), 'anger': cv2.imread("anger.png",-1) , 'joy': cv2.imread("joy.png",-1) , 'surprise': cv2.imread("surprise.png",-1) , 'sorrow':cv2.imread("sorrow.png",-1)} # fps = FPS().start() while True: ret_val, img = cam.read() img = cv2.flip(img, 1) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') faces = face_cascade.detectMultiScale(gray, 1.3, 5) # voy cargando aparicion de caras if (len(faces) >= 1): window.append(1) else: window.append(0) # Cada 2 segundos para testear si hay presencia de cara if(len(window) == FPSxseg*2 + 1): if(sum(window) > 0.75*FPSxseg): image = types.Image(content= np.array(cv2.imencode('.jpg', img)[1]).tobytes()) # Start thread if not started before if(q.empty() == False): if(q.get() == "Finish"): in_thread = {'client':client,'image':image,'queue':q} t = Thread(target=GoogleCall, args=(in_thread,)) t.start() else: sentiment['sentiment'] = 'NoSentiment' window.clear() # por cada cara que detecta opencv matcheo la cara de google con la de opencv for (x_cv,y_cv,w,h) in faces: x_cv = np.float64(x_cv) y_cv = np.float64(y_cv) sentiment['dist'] = 0 sentiment['dist'] = np.power(sentiment.x - x_cv,2) + np.power(sentiment.y - y_cv,2) senti = sentiment.iloc[sentiment['dist'].idxmin(),].sentiment face_add(face_img[senti],img,np.int32(x_cv),np.int32(y_cv),w,h) cv2.imshow('my webcam', img) if cv2.waitKey(1) == 27: break # esc to quit # fps.update() cv2.destroyAllWindows() # ============================================================================= # @fn: face_add # @s_img: foto del emoji # @l_img: foto sobre la que hay que pegar la imagen # @x,y: coordenadas donde esta la cara de la persona # @w,h: dimensiones de la cara # @brief: agrega a la imagen base la foto del emoji # ============================================================================= def face_add(s_img,l_img,x,y,w,h): rec_dim = max([h,w]) dim = (rec_dim,rec_dim) s_img = cv2.resize(s_img, dim, interpolation = cv2.INTER_AREA) x_offset= x y_offset= y y1, y2 = y_offset, y_offset + s_img.shape[0] x1, x2 = x_offset, x_offset + s_img.shape[1] alpha_s = s_img[:, :, 3] / 255.0 alpha_l = 1.0 - alpha_s for c in range(0, 3): l_img[y1:y2, x1:x2, c] = (alpha_s * s_img[:, :, c] + alpha_l * l_img[y1:y2, x1:x2, c]) # ============================================================================= # @fn: GoogleCall # @in_param: diccionario con client de google, imagen para proceesar, queue de comunicacion con thread # @brief: Hace una llamada a la API de google y carga en la variable global sentiment el sentimeiento que la API entrego # ============================================================================= def GoogleCall(in_param): print('Google Call!') client = in_param['client'] image = in_param['image'] queue = in_param['queue'] response = client.face_detection(image=image) faces_ = response.face_annotations global sentiment sentiment = sentiment_vote(faces_) # cargo la variable global con el resultado queue.put("Finish") # aviso al main que el thread termino! # ============================================================================= # @fn: sentiment_vote # @faces: json de google # @brief: entrega el sentimiento resultante que envio google junto con la posicion del ojo izquierdo para traquear caras # @out: entrego una lista con sentimiento+posicion del ojo # ============================================================================= def sentiment_vote(faces): sentiment = [] likelihood_name = (0, 0, 1, 2,3, 4) google_vision = {} for face in faces: aux = {} google_vision['anger'] = likelihood_name[face.anger_likelihood] google_vision['joy'] = likelihood_name[face.joy_likelihood] google_vision['surprise'] = likelihood_name[face.surprise_likelihood] google_vision['sorrow'] = likelihood_name[face.sorrow_likelihood] face.landmarks[0].position.x aux['y'] = face.landmarks[0].position.y aux['x'] = face.landmarks[0].position.x sentiment_aux = max(google_vision.items(), key=operator.itemgetter(1))[0] if(google_vision[sentiment_aux] >= 2): # likely or very_likely aux['sentiment'] = sentiment_aux else: aux['sentiment'] = 'NoSentiment' sentiment.append(aux) return pd.DataFrame(sentiment) # devuelvo un dataframe con el sentimiento y ubicacion ############################################################################## if __name__ == '__main__': main()

[ "noreply@github.com" ]

pedroZenone.noreply@github.com

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/Ejercicios.py/Ahorcados.py

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[]

no_license

felipegarciab9601/Ejercicios.py

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b6db8bde34f246e78883c7a97ee26f529f70ac71

refs/heads/master

2022-04-24T13:20:37.146167

2020-04-22T16:12:02

257,684,264

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null

UTF-8

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py

import random IMAGES = [''' +---+ | | | | | | =========''', ''' +---+ | | O | | | | =========''', ''' +---+ | | O | | | | | =========''', ''' +---+ | | O | /| | | | =========''', ''' +---+ | | O | /|\ | | | =========''', ''' +---+ | | O | /|\ | | | | =========''', ''' +---+ | | O | /|\ | | | / | =========''', ''' +---+ | | O | /|\ | | | / \ | =========''', ''' '''] WORDS = [ 'lavadora', 'secadora', 'sofa', 'gobierno', 'diputado', 'democracia', 'computadora', 'teclado' ] def random_word(): idx = random.randint(0, len(WORDS) - 1) return WORDS[idx] def display_board(hidden_word, tries): print(IMAGES[tries]) print('') print(hidden_word) print('--- * --- * --- * --- * --- * --- ') def run(): word = random_word() hidden_word = ['-'] * len(word) tries = 0 while True: display_board(hidden_word, tries) current_letter = str(rinput('Escoge una letra: ')) letter_indexes = [] for idx in range(len(word)): if word[idx] == current_letter: letter_indexes.append(idx) if len(letter_indexes) == 0: tries += 1 if tries == 7: display_board(hidden_word, tries) print('') print('¡Perdiste! La palabra correcta era {}'.format(word)) break else: for idx in letter_indexes: hidden_word[idx] = current_letter letter_indexes = [] try: hidden_word.index('-') except ValueError: print('') print('¡Felicidades! Ganaste. La palabra es: {}'.format(word)) break if __name__ == '__main__': print('B I E N V E N I D O S A A H O R C A D O S') run()

[ "felipegarcia9631@hotmail.com" ]

felipegarcia9631@hotmail.com

85af1d64e52abeaebaed17dddf17a473c39de16f

cb59b3eac9c01ee126077b3d20c474b89fd479ee

/Argishti/Question.py

8d5b7a9f383428db6e5bedcd642b32c679f110a8

[]

no_license

Levon187/ufar-python

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82c934c7cc017ecac457a339f9ac8ca4d9658431

refs/heads/master

2023-04-15T10:56:32.778755

2021-04-21T10:28:14

335,051,877

0

null

2021-02-08T06:56:22

2021-02-01T18:53:27

Python

UTF-8

Python

false

120

py

class Question: def __init__(self, question, answer): self.question = question self.answer = answer

[ "tigranyan.argishti@gmail.com" ]

tigranyan.argishti@gmail.com

3708487f4168be67105fc290391be7c47ce0d308

6706c2dc2291a1530d14df2647aa79f787caeb49

/Assignment_3/Code7.py

0907b9eefc161512508cc6b2062893bbcb1145bf

[]

no_license

Tanishksingh/cyber_security

f31ecb7b25ed2099f92f614b9664c652d17c5cb7

cfade3623f921be3905f2df636409998dba71ec5

refs/heads/master

2023-01-22T22:12:07.339996

2020-12-04T05:01:59

293,023,371

0

null

UTF-8

Python

false

359

py

def summer_69(l): sum=0 len=l.__len__() if len == 0: return 0 for i in l: if i!=6: sum=sum+i else: break for i in range(len): if l[i]==9: break for j in range(i+1,len): sum=sum+l[j] return sum l=[2,1,6,9,11] print(summer_69(l))

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Tanishksingh.noreply@github.com

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inyukwo1/LUTFinder

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import os import sys import random sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__)))) from utils.QuadraticFunction import QuadraticFunction from utils.LinearFunction import get_linearfunction_from_two_point from random_lut_generate.LUT1D import LUT1D def random_0_to_1(): val = random.uniform(0., 1.) # below loop makes curve more dynamically while(0.2 < val and val < 0.8): val = random.uniform(0., 1.) return val def make_fixed_hists(floats): hists = [] for i in range(len(floats)): float = floats[i] point_pair = (1. / (len(floats) - 1) * i, float) hists.append(point_pair) return hists def make_random_hists(hist_num): hists = [] for i in range(hist_num): random_float = random_0_to_1() point_pair = (1. / (hist_num - 1) * i, random_float) hists.append(point_pair) return hists def make_linear_functions_from_hists(hists): linear_funcs = [] for i in range(len(hists) - 1): linear_func = get_linearfunction_from_two_point(hists[i], hists[i + 1]) x_range = (hists[i][0], hists[i+1][0]) linear_funcs.append((x_range, linear_func)) return linear_funcs def integrate_linear_funcs(linear_funcs): integrated_funcs = [] start_y = 0 for x_range, linear_func in linear_funcs: integrated = linear_func.get_integrate() start_point = (x_range[0], start_y) integrated.vertical_move(start_point) integrated_funcs.append((x_range, integrated)) start_y = integrated.calc(x_range[1]) end_y = start_y return integrated_funcs, end_y class LUT1DRandomHist(LUT1D): def __init__(self, hist_num): LUT1D.__init__(self) for channel in ['r', 'g', 'b']: self._init_color_map(channel, hist_num) def _init_color_map(self, channel, hist_num): hists = make_random_hists(hist_num) linear_funcs = make_linear_functions_from_hists(hists) integrated_funcs, end_y = integrate_linear_funcs(linear_funcs) for x_range, integrated_func in integrated_funcs: denormalized_start_x = int(x_range[0] * 256) denormalized_end_x = int(x_range[1] * 256) for x in range(denormalized_start_x, denormalized_end_x): y = integrated_func.calc(x / 256.) normalized_y = y * 256. / end_y self.color_map[channel].append(normalized_y) assert len(self.color_map[channel]) == 256 if __name__ == "__main__": lut = LUT1DRandomHist(5) lut.plot()

[ "ihna@voyagerx.com" ]

ihna@voyagerx.com

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#!/Users/yotio/yochio/python/huffman/bin/python # $Id: rst2s5.py 4564 2006-05-21 20:44:42Z wiemann $ # Author: Chris Liechti <cliechti@gmx.net> # Copyright: This module has been placed in the public domain. """ A minimal front end to the Docutils Publisher, producing HTML slides using the S5 template system. """ try: import locale locale.setlocale(locale.LC_ALL, '') except: pass from docutils.core import publish_cmdline, default_description description = ('Generates S5 (X)HTML slideshow documents from standalone ' 'reStructuredText sources. ' + default_description) publish_cmdline(writer_name='s5', description=description)

[ "mm9.movement.trb@gmail.com" ]

mm9.movement.trb@gmail.com

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whoyao/python-drawing-exercise

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import os import time import pandas as pd import matplotlib.pyplot as plt import matplotlib.patches as patches from io import StringIO from mpl_toolkits.mplot3d import Axes3D import numpy as np cm = plt.get_cmap('rainbow') read_path = "/tmp/cost_fifo.pipe" def draw_cost_image(data): df = pd.read_csv(StringIO(data.decode('utf-8')), delimiter=";", header=None) df = df.dropna() df_collision = df[np.abs(df[3]) > 0.5] sc = plt.scatter(df[0], df[1], c=df[2], vmin=min(df[2]), vmax=max(df[2]), cmap=cm) print(df_collision) sc2 = plt.scatter(df_collision[0], df_collision[1], c='k', marker='^', s=50) plt.colorbar(sc) plt.xlabel("dis") plt.ylabel("vel") plt.draw() plt.pause(0.0001) plt.clf() def show_cost(): try: os.mkfifo(read_path) except OSError as e: print("Pipe error:", e) rf = os.open(read_path, os.O_RDONLY) plt.ion() while True: # try: data = os.read(rf, 4096) if len(data) == 0: print("No data!") else: # print(data) draw_cost_image(data) time.sleep(0.2) show_cost()

[ "qsct9501@126.com" ]

qsct9501@126.com

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zhangqi19880501/CorrelatedEmbeddings

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# -*- coding: utf-8 -*- """" Convoutional NN script for MNIST based on Tensorflow Tutorial. Author: fdcalmon@us.ibm.com """ import tensorflow as tf import pickle import gzip import numpy as np import scipy as sp import time import pandas as pd # from util import load_data from models_mv import * # Initialize the input of F and G nets X = tf.placeholder(tf.float32, shape=[None, 784], name='X1') Y = tf.placeholder(tf.float32, shape=[None, 784], name='X2') with open ('noisy_mnist', 'rb') as f1: n_mnist = pickle.load(f1) with open ('noisy_rotate_mnist', 'rb') as f2: nr_mnist = pickle.load(f2) train_x = n_mnist[0][0] train_y = nr_mnist[0][0] test_x = n_mnist[2][0] test_y = nr_mnist[2][0] train_labels = n_mnist[0][1].reshape((len(n_mnist[0][1]), 1)) test_labels = n_mnist[2][1].reshape((len(n_mnist[2][1]), 1)) def train(var_name, mb_size, n_steps, d): # mnist = input_data.read_data_sets('MNIST_data', one_hot=True) # Construct networks F_Net = F_net(X, d) G_Net= G_net(Y, d) # Loss functions F_loss, _ = F_loss_svd(G_Net, F_Net, mb_size) G_loss = F_loss # Gradient-based solver learning_rate = 0.01 F_solver = tf.train.AdagradOptimizer(learning_rate).minimize(F_loss) G_solver = tf.train.AdagradOptimizer(learning_rate).minimize(G_loss) # run model sess = tf.Session() sess.run(tf.global_variables_initializer()) # saver = tf.train.Saver() file = open('Data/'+var_name+'_log.txt','w') file.write('Iter\t sec/iter \t total sec\n') t0 = time.time() for it in range(n_steps): randidx = np.random.randint(len(train_x), size=mb_size) X_mb = train_x[randidx] Y_mb = train_y[randidx] _, F_loss_curr = sess.run([F_solver, F_loss], feed_dict={X: X_mb, Y: Y_mb}) _, G_loss_curr = sess.run([G_solver, G_loss], feed_dict={X: X_mb, Y: Y_mb}) if (it+1)%1000 == 0: t1 =time.time() total_time = t1-t0 time_per_iter = total_time/(it+1) file.write('{:.0f}\t {:.5f} \t {:.5f}\n'.format(it+1,time_per_iter,total_time)) file.flush() # evaluate on train set print('Reconstruct the results') F_output_train = sess.run(F_Net, feed_dict={X: train_x}) G_output_train = sess.run(G_Net, feed_dict={Y: train_y}) # A, a, B, b = normalizeFG(F_output_train, G_output_train) # wF_train, wG_train = normalization(F_output_train, G_output_train, A, B, a, b) # trueCorr_train, corrG_train, newCorr_train, Anorm_train, Bnorm_train, wF_train, wG_train = computeMetrics(F_output_train, G_output_train) # mnist_train_labels = np.zeros((len(F_output_train), 1)) # for k in range(len(F_output_train)): # mnist_train_labels[k] = list(mnist.train.labels[k]).index(1) # print(F_output_train.shape) # print(G_output_train.shape) # print(len(train_labels)) df_data_train = pd.DataFrame(np.hstack((F_output_train, G_output_train, train_labels))) df_data_train.to_csv('Data_FG_new/'+var_name+'_train.csv') # evaluate on train set F_output_test = sess.run(F_Net, feed_dict={X: test_x}) G_output_test = sess.run(G_Net, feed_dict={Y: test_y}) # wF_test, wG_test = normalization(F_output_test, G_output_test, A, B, a, b) # trueCorr_test, corrG_test, newCorr_test, Anorm_test, Bnorm_test, wF_test, wG_test = computeMetrics(F_output_test, G_output_test) # mnist_test_labels = np.zeros((len(F_output_test), 1)) # for k in range(len(F_output_test)): # mnist_test_labels[k] = list(mnist.test.labels[k]).index(1) df_data_test = pd.DataFrame(np.hstack((F_output_test, G_output_test, test_labels))) df_data_test.to_csv('Data_FG_new/'+var_name+'_test.csv') # save_path = saver.save(sess, var_name+'.ckpt') file.close() sess.close() ## creates and saves tensorflow models for each of the digits if __name__ == '__main__': var_name = 'MNIST_FG_mv' d_list = [40] for i in range(len(d_list)): print(i) train(var_name+str(d_list[i]), 2048, 50000, d_list[i])

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zhangqi19880501.noreply@github.com

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/python/cloneobj.py

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velppa/oracle-scripts

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ee22c9158bf1dd0524e0f6d2c80e74292c7895d1

refs/heads/master

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#!/usr/bin/env python # -*- coding: utf-8 -*- """ cloneobj.py A module for clone objects from one Oracle Database to another. history: 0.1.0 (2013-08-01): Initial version 0.1.1 (2013-08-01): + Added ability to create object if it doesn't exists on target DB 0.1.2 (2013-08-02): + Added 'select' attribute to Cloner class which used as select statement if set. If not set then usual SELECT * FROM is used. + Cloner logs total number of inserted rows instead number of insert rows on current step ~ str() replaced to {!s} in string formatting 0.1.3 (2013-08-12): ~ Added parameter names to format strings + Passwords are now hidden in __repr__ + Added `insert` function to Cloner.clone to provide regular insert if bulk insert fails with TypeError 0.1.4 (2013-08-12): ~ Minor format strings improvements 0.2.0 (2013-08-14): + Added Cloner.columns and Cloner.where attributes + INSERT in Cloner is now column-aware of cursor it takes to insert -- ability to insert into some columns 0.2.1 (2013-11-25): ~ Changes in module header, follow PEP-257 + Added logging instead of print 0.2.2 (2014-02-11): ~ Python3 compatibility 0.3 (2014-02-19): ~ Fixed bug with TypeError + Connection now connects on execute if not active """ import re import datetime import logging import cx_Oracle __version__ = '0.3' __author__ = 'Pavel Popov' __email__ = 'pavelpopov@outlook.com' __date__ = '2014-02-19' __license__ = 'GPLv3' logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) def setup_logger(): FORMAT = '' formatter = logging.Formatter(fmt=FORMAT) stream_handler = logging.StreamHandler() stream_handler.setFormatter(formatter) logger.addHandler(stream_handler) setup_logger() class Connection: """Provides connection to Oracle DB and corresponding methods.""" def __init__(self, connection_string): cs = connection_string self.__connection_string = cs self.connection_string = '{user}@{db}'.format(user=cs[0:cs.index('/')], db=cs[cs.rindex('@') + 1:]) self.conn = None self.cursor = None self.active = False def __repr__(self): return "{status} connection to '{conn}'".format(status=self.status(), conn=self.connection_string) def connect(self): """Establishes connection.""" if not self.active: self.conn = cx_Oracle.connect(self.__connection_string) self.cursor = self.conn.cursor() self.active = True def close(self): """Closes connection.""" if self.active: self.cursor.close() self.conn.close() self.active = False def status(self): return 'Active' if self.active else 'Not active' def commit(self): """Commits transaction on connection level.""" self.conn.commit() # todo: add logger instead of print print('Commit complete.') def object_exists(self, obj): q = """SELECT 1 FROM all_objects WHERE owner = upper(:owner) AND object_name = upper(:name) AND object_type = upper(:type) """ params = {'owner': obj.owner, 'name': obj.name, 'type': obj.type} self.cursor.execute(q, params) return len(self.cursor.fetchall()) == 1 def ddl(self, obj): q = """SELECT dbms_metadata.get_ddl(upper(:type), upper(:name), upper(:owner)) FROM dual""" params = {'owner': obj.owner, 'name': obj.name, 'type': obj.type} self.execute(q, params) return self.cursor.fetchone()[0].read() def ddl_target(self, ddl, from_obj, to_obj): # removing schema name from DDL ddl = ddl.replace(' {type} "{owner}"."{name}"'.format(type=from_obj.type, owner=from_obj.owner.upper(), name=from_obj.name.upper()), ' {type} "{name}"'.format(type=to_obj.type, name=to_obj.name.upper())) # remapping tablespace r = re.compile('TABLESPACE ".*"') tablespace = to_obj.opts['tablespace'] ddl = r.sub('TABLESPACE "{name}"'.format(name=tablespace) if tablespace is not None else '', ddl) return ddl def log(self, query, params=None): if params is None: print("ISSUING '{query}' ON '{db}'".format(query=query, db=self.connection_string)) else: print("ISSUING '{query}' WITH PARAMS {params!s} ON '{db}'".format(query=query, params=params, db=self.connection_string)) def execute(self, query, params=None, print_output=False): """ Execute statement at the connection. If connection is not active tries to connect first. Arguments: query -- statement to be executed params -- dictionary with bind variables print_output -- boolean flag to print output to stdout """ if not self.active: self.connect() if isinstance(params, dict): self.log(query, params) self.cursor.execute(query, params) else: self.log(query) self.cursor.execute(query) if print_output: for row in self.cursor: # todo: tab-separated print instead of built-one print(row) class DBObject: """Describe Oracle Database object""" def __init__(self, name=None, owner=None, type='TABLE', opts=None): # todo: maybe combine owner and object_name together? self.owner = owner.lower() if owner is not None else None self.name = name.lower() if name is not None else None self.type = type self.opts = {'tablespace': None, 'truncate': False, 'create_if_not_exists': False} if isinstance(opts, dict): self.opts.update(opts) def __repr__(self): return '{type} {owner}.{name}'.format(type=self.type.lower(), owner=self.owner, name=self.name) class Cloner: """Copies content of one object to another""" BULK_ROWS = 25000 # BULK_ROWS = 100000 def __init__(self, from_db, from_obj, to_db, to_obj): self.from_db = from_db self.to_db = to_db self.from_obj = from_obj self.to_obj = to_obj self.select = None self.columns = None self.where = None if not (self.from_obj.type == 'TABLE' and self.to_obj.type == 'TABLE'): raise Exception('Currently only tables are supported') if self.from_obj.name is None: raise Exception('Specify object name for source object') if self.to_obj.name is None: self.to_obj.name = self.from_obj.name if (self.from_db.connection_string == self.to_db.connection_string and self.from_obj.name == self.to_obj.name and self.from_obj.owner == self.to_obj.owner and self.from_obj.type == self.to_obj.type): raise Exception('Objects are equal') def connect(self): self.from_db.connect() self.set_owner(self.from_obj, self.from_db) self.to_db.connect() self.set_owner(self.to_obj, self.to_db) def close(self): """Close connections to Databases""" self.from_db.close() self.to_db.close() @staticmethod def set_owner(obj, conn): if obj.owner is None: conn.execute('SELECT LOWER(user) FROM dual') obj.owner = conn.cursor.fetchone()[0] def clone(self): """Clone object from_obj to to_obj""" # todo: measure time spent on transfer self.connect() if not self.to_db.object_exists(self.to_obj): if self.to_obj.opts['create_if_not_exists']: self.from_obj.opts['tablespace'] = self.to_obj.opts['tablespace'] from_ddl = self.from_db.ddl(self.from_obj) to_ddl = self.to_db.ddl_target(from_ddl, self.from_obj, self.to_obj) # todo: create target objects on cursor basis instead of object basis self.to_db.execute(to_ddl) else: raise Exception('First, create {obj} at {db}'.format(obj=self.to_obj, db=self.to_db.connection_string)) if self.select is None: where = '1=1' if self.where is None else self.where columns = '*' if self.columns is None else self.columns self.select = '''SELECT {columns} FROM {owner}.{name} WHERE 1=1 AND {where} '''.format(owner=self.from_obj.owner, name=self.from_obj.name, columns=columns, where=where) if self.to_obj.opts['truncate'] and self.to_obj.type == 'TABLE': self.to_db.execute('TRUNCATE TABLE {owner}.{name}'.format(owner=self.to_obj.owner, name=self.to_obj.name)) self.from_db.execute(self.select) desc = self.from_db.cursor.description columns = ', '.join([x[0] for x in desc]).lower() placeholders = ', '.join([':{!s}'.format(x) for x in range(len(desc))]) insert = 'INSERT INTO {owner}.{table}({columns}) VALUES({placeholders})' insert = insert.format(owner=self.to_obj.owner, table=self.to_obj.name, columns=columns, placeholders=placeholders) self.to_db.log(insert) self.to_db.cursor.prepare(insert) def insert(rows): rowcount = 0 for row in rows: try: self.to_db.cursor.execute(None, row) except TypeError as e: print('TypeError on row occurred: {}'.format(e)) print(row) rowcount += 1 return rowcount def bulk_insert(rows, total_rows=0): if rows: try: self.to_db.cursor.executemany(None, rows) rowcount = self.to_db.cursor.rowcount except TypeError as e: print('TypeError occurred: {}'.format(e)) print('Trying to insert row-by-row') rowcount = insert(rows) print('{time}: {x} rows processed'.format(time=datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), x=total_rows + rowcount)) return rowcount else: print('Empty set - nothing to insert') return 0 total_rows = 0 i = 0 rows = [] for row in self.from_db.cursor: i += 1 rows.append(row) if i == Cloner.BULK_ROWS: total_rows += bulk_insert(rows, total_rows) i = 0 rows = [] bulk_insert(rows, total_rows) self.to_db.commit() def __repr__(self): return 'Cloner from {from_obj} at {from_db} to '\ '{to_obj} at {to_db}'.format(from_obj=self.from_obj, from_db=self.from_db.connection_string, to_obj=self.to_obj, to_db=self.to_db.connection_string) def example(): # todo: accept command line params from_db = Connection('user/pass@qwer') from_obj = DBObject(owner='SCHEME', name='SOME_TABLE') to_db = Connection('user2/pass2@qwer2') to_obj = DBObject(name='SOME_TABLE2', opts={'truncate': True, 'create_if_not_exists': False}) cloner = Cloner(from_db=from_db, from_obj=from_obj, to_db=to_db, to_obj=to_obj) cloner.select = """SELECT table_name , owner FROM all_tables p WHERE 1=1 AND rownum < 20""" cloner.connect() print(cloner) cloner.clone() cloner.close() if __name__ == '__main__': example()

[ "schmooser@gmail.com" ]

schmooser@gmail.com

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javed2214/Product-Hunt

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#!/usr/bin/env python import os import sys if __name__ == '__main__': os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'Product_Hunt.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv)

[ "javed.ansari4122@gmail.com" ]

javed.ansari4122@gmail.com

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/developer/src/developer/__init__.py

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[]

no_license

jimhansson/tellstick-server

bb4bcf2c249956855af5031a923c508ea734bbde

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refs/heads/master

2021-01-19T03:42:21.653259

2017-03-02T15:28:32

null

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# -*- coding: utf-8 -*- from Developer import Developer

[ "micke.prag@telldus.se" ]

micke.prag@telldus.se

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no_license

slonoed/bearded

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refs/heads/master

2021-01-20T23:47:31.226165

2013-06-09T10:59:11

null

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null

UTF-8

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py

# -*- coding: utf-8 -*- from bearded.tools.cl import CommandLineTool class NmapTool(CommandLineTool): pass

[ "m0sth8@gmail.com" ]

m0sth8@gmail.com

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/flask/models/shift_index.py

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no_license

nicolaseschneider/Revel_Take_Home

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from datetime import datetime from db import db from marshmallow import Schema class ShiftIndex(db.Model): id = db.Column(db.Integer, primary_key=True) shift_id = db.Column(db.Integer, db.ForeignKey('shift.id')) next_vehicle_id = db.Column(db.Integer, db.ForeignKey('vehicle.id'), nullable=True) created_at = db.Column(db.DateTime, default=datetime.now) updated_at = db.Column(db.DateTime, default=datetime.now, onupdate=datetime.now) class ShiftIndexSchema(Schema): class Meta: model = ShiftIndex fields = ('id','shift_id', 'next_vehicle_id', 'created_at', 'updated_at')

[ "nicolas.e.schneider@vanderbilt.edu" ]

nicolas.e.schneider@vanderbilt.edu

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/blog/migrations/0001_initial.py

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todo-2mari5/my-second-djangogirls

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# Generated by Django 2.2.2 on 2019-06-20 05:18 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Post', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=200)), ('text', models.TextField()), ('created_date', models.DateTimeField(default=django.utils.timezone.now)), ('published_date', models.DateTimeField(blank=True, null=True)), ('author', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), ]

[ "ha1ma2chi3@yahoo.co.jp" ]

ha1ma2chi3@yahoo.co.jp

d06917809a1c413d98e8f20232aac174f4a82c3b

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/web/web/middlewares/auth.py

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[]

no_license

jackfrued/xpc

47ffb9b0059933589c71716e75f99f255758c140

92160b05cf4d877aa435a426cef883347b002671

refs/heads/master

2020-03-28T20:23:04.961050

2018-07-06T09:44:25

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2018-09-17T03:33:07

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from django.http import HttpResponseRedirect from django.conf import settings from web.models import Composer from web.helpers.composer import md5_pwd need_login = ['/'] class AuthMiddleware(object): def __init__(self, get_response): self.get_response = get_response # One-time configuration and initialization. def __call__(self, request): # Code to be executed for each request before # the view (and later middleware) are called. if request.path in need_login: cid = request.COOKIES.get('cid') token = request.COOKIES.get('token') if not cid or md5_pwd(cid, settings.SECRET_KEY) != token: return HttpResponseRedirect('/login/') request.composer = Composer.get(cid=cid) response = self.get_response(request) # Code to be executed for each request/response after # the view is called. return response

[ "guye999@gmail.com" ]

guye999@gmail.com

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[]

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JawshyJ/Coding_Practice

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refs/heads/master

2023-02-19T10:18:04.818542

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[ "37465112+JawshyJ@users.noreply.github.com" ]

37465112+JawshyJ@users.noreply.github.com

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/utils.py

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RahulSundar/DL-ROM-Meth

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refs/heads/master

2023-03-10T04:38:56.950448

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""" Stefania Fresca, MOX Laboratory, Politecnico di Milano February 2019 """ import os os.environ['TF_CPP_MIN_LOG_LEVEL']='2' import numpy as np import scipy.io as sio import h5py def read_data(mat): data = sio.loadmat(mat) S = data['S'].squeeze() S = np.transpose(S) return S def read_large_data(mat): file = h5py.File(mat, 'r') S = file['S'][:] return S def read_params(mat): params = sio.loadmat(mat) params = params['I'].squeeze() return params def max_min(S_train, n_train): S_max = np.max(np.max(S_train[:n_train], axis = 1), axis = 0) S_min = np.min(np.min(S_train[:n_train], axis = 1), axis = 0) return S_max, S_min def scaling(S, S_max, S_min): S[ : ] = (S - S_min)/(S_max - S_min) def inverse_scaling(S, S_max, S_min): S[ : ] = (S_max - S_min) * S + S_min def zero_pad(S, n): paddings = np.zeros((S.shape[0], n)) S = np.hstack((S, paddings)) return S def safe_mkdir(path): try: os.mkdir(path) except OSError: pass

[ "stefania.fresca@polimi.it" ]

stefania.fresca@polimi.it

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/guildwars2/database.py

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permissive

greaka/GW2Bot

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refs/heads/master

2020-03-07T04:39:25.338173

2018-06-22T14:06:49

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2018-03-29T09:58:26

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import asyncio import collections import re import time import discord from discord.ext import commands from discord.ext.commands.cooldowns import BucketType from pymongo.errors import BulkWriteError from .exceptions import APIKeyError class DatabaseMixin: @commands.command() @commands.cooldown(1, 5, BucketType.user) async def skillinfo(self, ctx, *, skill): """Information about a given skill""" user = ctx.author skill_sanitized = re.escape(skill) search = re.compile(skill_sanitized + ".*", re.IGNORECASE) cursor = self.db.skills.find({"name": search}) number = await cursor.count() if not number: await ctx.send( "Your search gave me no results, sorry. Check for typos.") return if number > 20: await ctx.send( "Your search gave me {} results. Please be more specific". format(number)) return items = [] msg = "Which one of these interests you? Type it's number```" async for item in cursor: items.append(item) if number != 1: for c, m in enumerate(items): msg += "\n{}: {}".format(c, m["name"]) msg += "```" message = await ctx.send(msg) def check(m): return m.channel == ctx.channel and m.author == user try: answer = await self.bot.wait_for( "message", timeout=120, check=check) except asyncio.TimeoutError: message.edit(content="No response in time") return None try: num = int(answer.content) choice = items[num] except: await message.edit(content="That's not a number in the list") return None try: await answer.delete() except: pass else: message = await ctx.send("Searching far and wide...") choice = items[0] data = await self.skill_embed(choice) try: await message.edit(content=None, embed=data) except discord.HTTPException: await ctx.send("Need permission to embed links") async def skill_embed(self, skill): # Very inconsistent endpoint, playing it safe description = None if "description" in skill: description = skill["description"] url = "https://wiki.guildwars2.com/wiki/" + skill["name"].replace( ' ', '_') async with self.session.head(url) as r: if not r.status == 200: url = None data = discord.Embed( title=skill["name"], description=description, url=url) if "icon" in skill: data.set_thumbnail(url=skill["icon"]) if "professions" in skill: if skill["professions"]: professions = skill["professions"] if len(professions) != 1: data.add_field( name="Professions", value=", ".join(professions)) elif len(professions) == 9: data.add_field(name="Professions", value="All") else: data.add_field( name="Profession", value=", ".join(professions)) if "facts" in skill: for fact in skill["facts"]: try: if fact["type"] == "Recharge": data.add_field(name="Cooldown", value=fact["value"]) if fact["type"] == "Distance" or fact["type"] == "Number": data.add_field(name=fact["text"], value=fact["value"]) if fact["type"] == "ComboField": data.add_field( name=fact["text"], value=fact["field_type"]) except: pass return data @commands.group() @commands.is_owner() async def database(self, ctx): """Commands related to DB management""" if ctx.invoked_subcommand is None: await self.bot.send_cmd_help(ctx) return @database.command(name="create") async def db_create(self, ctx): """Create a new database """ await self.rebuild_database() @database.command(name="statistics") async def db_stats(self, ctx): """Some statistics """ cursor = self.bot.database.get_users_cursor({ "key": { "$ne": None } }, self) result = await cursor.count() await ctx.send("{} registered users".format(result)) cursor_updates = self.bot.database.get_guilds_cursor({ "updates.on": True }) cursor_daily = self.bot.database.get_guilds_cursor({"daily.on": True}) cursor_news = self.bot.database.get_guilds_cursor({"news.on": True}) result_updates = await cursor_updates.count() result_daily = await cursor_daily.count() result_news = await cursor_news.count() await ctx.send("{} guilds for update notifs\n{} guilds for daily " "notifs\n{} guilds for news " "feed".format(result_updates, result_daily, result_news)) async def get_title(self, title_id): try: results = await self.db.titles.find_one({"_id": title_id}) title = results["name"] except: return "" return title async def get_world_name(self, wid): try: doc = await self.db.worlds.find_one({"_id": wid}) name = doc["name"] except: name = None return name async def get_world_id(self, world): world = re.escape(world) world = "^" + world + "$" search = re.compile(world, re.IGNORECASE) if world is None: return None doc = await self.db.worlds.find_one({"name": search}) if not doc: return None return doc["_id"] async def fetch_statname(self, item): statset = await self.db.itemstats.find_one({"_id": item}) try: name = statset["name"] except: name = "" return name async def fetch_item(self, item): return await self.db.items.find_one({"_id": item}) async def fetch_key(self, user, scopes=None): doc = await self.bot.database.get_user(user, self) if not doc or "key" not in doc or not doc["key"]: raise APIKeyError( "No API key associated with {.mention}. " "Add your key using `$key add` command. If you don't know " "how, the command includes a tutorial.".format(user)) if scopes: missing = [] for scope in scopes: if scope not in doc["key"]["permissions"]: missing.append(scope) if missing: missing = ", ".join(missing) raise APIKeyError( "{.mention}, your API key is missing the following " "permissions to use this command: `{}`\nConsider adding " "a new key with those permissions " "checked".format(user, missing)) return doc["key"] async def cache_dailies(self): try: results = await self.call_api("achievements/daily") await self.cache_endpoint("achievements") except: return try: doc = {} for category, dailies in results.items(): daily_list = [] for daily in dailies: if not daily["level"]["max"] == 80: continue daily_doc = await self.db.achievements.find_one({ "_id": daily["id"] }) if not daily_doc: continue name = daily_doc["name"] if category == "fractals": if name.startswith( "Daily Tier" ) and not name.startswith("Daily Tier 4"): continue daily_list.append(name) doc[category] = sorted(daily_list) doc["psna"] = [self.get_psna()] doc["psna_later"] = [self.get_psna(offset_days=1)] await self.bot.database.set_cog_config(self, {"cache.dailies": doc}) except Exception as e: self.log.exception("Exception caching dailies: ", exc_info=e) async def cache_raids(self): raids = [] raids_index = await self.call_api("raids") for raid in raids_index: raids.append(await self.call_api("raids/" + raid)) await self.bot.database.set_cog_config(self, {"cache.raids": raids}) async def get_raids(self): config = await self.bot.database.get_cog_config(self) return config["cache"].get("raids") async def cache_endpoint(self, endpoint, all_at_once=False): async def bulk_write(item_group): bulk = self.db[endpoint].initialize_unordered_bulk_op() for item in itemgroup: item["_id"] = item.pop("id") bulk.find({"_id": item["_id"]}).upsert().replace_one(item) try: await bulk.execute() except BulkWriteError as e: self.log.exception( "BWE while caching {}".format(endpoint), exc_info=e) items = await self.call_api(endpoint) if not all_at_once: counter = 0 total = len(items) while True: percentage = (counter / total) * 100 print("Progress: {0:.1f}%".format(percentage)) ids = ",".join(str(x) for x in items[counter:counter + 200]) if not ids: print("{} done".format(endpoint)) break itemgroup = await self.call_api("{}?ids={}".format( endpoint, ids)) await bulk_write(itemgroup) counter += 200 else: itemgroup = await self.call_api("{}?ids=all".format(endpoint)) await bulk_write(itemgroup) async def rebuild_database(self): start = time.time() self.bot.available = False await self.bot.change_presence( activity=discord.Game(name="Rebuilding API cache"), status=discord.Status.dnd) endpoints = [["items"], ["achievements"], ["itemstats", True], [ "titles", True ], ["recipes"], ["skins"], ["currencies", True], ["skills", True], ["specializations", True], ["traits", True], ["worlds", True]] for e in endpoints: try: await self.cache_endpoint(*e) except: msg = "Caching {} failed".format(e) self.log.warn(msg) owner = self.bot.get_user(self.bot.owner_id) await owner.send(msg) await self.db.items.create_index("name") await self.db.achievements.create_index("name") await self.db.titles.create_index("name") await self.db.recipes.create_index("output_item_id") await self.db.skins.create_index("name") await self.db.currencies.create_index("name") await self.db.skills.create_index("name") await self.db.worlds.create_index("name") await self.cache_raids() end = time.time() self.bot.available = True print("Done") self.log.info( "Database done! Time elapsed: {} seconds".format(end - start)) async def itemname_to_id(self, destination, item, user, *, flags=[], filters={}, database="items", group_duplicates=False): # TODO cleanup def consolidate_duplicates(items): unique_items = collections.OrderedDict() for item in items: item_tuple = item["name"], item["rarity"] if item_tuple not in unique_items: unique_items[item_tuple] = [] unique_items[item_tuple].append(item["_id"]) unique_list = [] for k, v in unique_items.items(): unique_list.append({"name": k[0], "rarity": k[1], "ids": v}) return unique_list def check(m): if isinstance(destination, (discord.abc.User, discord.abc.PrivateChannel)): chan = isinstance(m.channel, discord.abc.PrivateChannel) else: chan = m.channel == destination.channel return m.author == user and chan item_sanitized = re.escape(item) search = re.compile(item_sanitized + ".*", re.IGNORECASE) cursor = self.db[database].find({ "name": search, "flags": { "$nin": flags }, **filters }) number = await cursor.count() if not number: await destination.send( "Your search gave me no results, sorry. Check for " "typos.\nAlways use singular forms, e.g. Legendary Insight") return None if number > 25: await destination.send("Your search gave me {} item results. " "Try exact match " "search? `Y/N`".format(number)) try: answer = await self.bot.wait_for( "message", timeout=120, check=check) except asyncio.TimeoutError: return None if answer.content.lower() != "y": return exact_match = "^" + item_sanitized + "$" search = re.compile(exact_match, re.IGNORECASE) cursor = self.db[database].find({ "name": search, "flags": { "$nin": flags }, **filters }) number = await cursor.count() if not number: await destination.send( "Your search gave me no results, sorry. Check for " "typos.\nAlways use singular forms, e.g. Legendary Insight" ) return None if number > 25: await destination.send( "Your search gave me {} item results. " "Please be more specific".format(number)) return None items = [] async for item in cursor: items.append(item) items.sort(key=lambda i: i["name"]) longest = len(max([item["name"] for item in items], key=len)) msg = [ "Which one of these interests you? Simply type it's number " "into the chat now:```ml", "INDEX NAME {}RARITY".format( " " * (longest)), "-----|------{}|-------".format( "-" * (longest)) ] if group_duplicates: distinct_items = consolidate_duplicates(items) else: for item in items: item["ids"] = [item["_id"]] distinct_items = items if number != 1: for c, m in enumerate(distinct_items, 1): msg.append(" {} {}| {} {}| {}".format( c, " " * (2 - len(str(c))), m["name"].upper(), " " * (4 + longest - len(m["name"])), m["rarity"])) msg.append("```") message = await destination.send("\n".join(msg)) try: answer = await self.bot.wait_for( "message", timeout=120, check=check) except asyncio.TimeoutError: await message.edit(content="No response in time") return None try: num = int(answer.content) - 1 choice = distinct_items[num] except: await message.edit(content="That's not a number in the list") return None try: await message.delete() await answer.delete() except: pass else: choice = distinct_items[0] for item in items: if item["_id"] in choice["ids"]: if item["type"] == "UpgradeComponent": choice["is_upgrade"] = True return choice

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

Maselkov@users.noreply.github.com

669188eac36b8293c12dd5899a45b26c2a0b8884

0377ead8058df100bd415cadc152d6f95688f925

/system/urls.py

af5771d26a0d26a9e841234d2372de005415e7ca

[]

no_license

laojiuh/DjangoMall

b676112528e8167fdb48153606d68caa298ffdac

778ed847bee6f5ad36efbbff6cbf18839ad38138

refs/heads/master

2022-12-10T18:13:14.950126

2020-09-14T08:01:08

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from django.conf.urls import url, include from system import views urlpatterns = [ # 新闻列表 url(r'^news/$', views.news_list, name='news_list'), # 新闻详情 url(r'^news/(?P<pk>\d+)/$', views.news_detail, name='news_detail'), # 验证码 url(r'^verify/code/$', views.verify_code, name='verify_code'), ]

[ "huangzeb@kean.edu" ]

huangzeb@kean.edu

c823246cc4de9cfcf3137a03ec96fe34984eb630

d25d6368011a6a41e4346330e500d2a93d87981e

/tests/simpletest_camsreg.py

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[ "MIT" ]

permissive

andreas-h/mss-chem

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refs/heads/master

2021-01-19T09:24:34.736706

2017-07-13T15:21:23

2017-07-13T15:23:35

82,105,628

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null

UTF-8

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import datetime import os.path import unittest import urllib from msschem.models import CAMSRegDriver from msschem.download import CAMSRegDownload import msschem_settings class TestCAMSRegDriver(unittest.TestCase): def setUp(self): self.driver = msschem_settings.register_datasources['CAMSReg_ENSEMBLE'] yesterday = datetime.date.today() - datetime.timedelta(0) self.fcinit = datetime.datetime(yesterday.year, yesterday.month, yesterday.day) def test_get_nt(self): dr = self.driver init = datetime.datetime(2017, 2, 15, 0, 0) start = datetime.datetime(2017, 2, 15, 0, 0) end = datetime.datetime(2017, 2, 15, 1, 0) self.assertEqual(dr.get_nt(init, start, end), 25) start = datetime.datetime(2017, 2, 15, 0, 0) end = datetime.datetime(2017, 2, 16, 0, 0) self.assertEqual(dr.get_nt(init, start, end), 25) start = datetime.datetime(2017, 2, 15, 0, 0) end = datetime.datetime(2017, 2, 16, 1, 0) self.assertEqual(dr.get_nt(init, start, end), 49) start = datetime.datetime(2017, 2, 16, 0, 0) end = datetime.datetime(2017, 2, 17, 0, 0) self.assertEqual(dr.get_nt(init, start, end), 49) start = datetime.datetime(2017, 2, 16, 1, 0) end = datetime.datetime(2017, 2, 17, 0, 0) self.assertEqual(dr.get_nt(init, start, end), 24) start = datetime.datetime(2017, 2, 15, 3, 0) end = datetime.datetime(2017, 2, 18, 7, 0) self.assertEqual(dr.get_nt(init, start, end), 97) #@unittest.skip('This takes too long ...') #def test_postprocess(self): # dr = self.driver # dr.postprocess('NO2', # datetime.datetime(2017, 3, 31), # ['/home2/hilboll/tmp/msschem/cams_regional/0H24H.nc', # '/home2/hilboll/tmp/msschem/cams_regional/25H48H.nc', # '/home2/hilboll/tmp/msschem/cams_regional/49H72H.nc', # '/home2/hilboll/tmp/msschem/cams_regional/73H96H.nc', # ]) #def test_download(self): # self.filenames_tmp = self.driver.download('NO2', self.fcinit) def test_get(self): self.driver.get('NO2', self.fcinit) #class TestCAMSRegDownload(unittest.TestCase): # # def setUp(self): # self.driver = msschem_settings.register_datasources['CAMSReg_ENSEMBLE'] # # def test_download(self): # yesterday = datetime.date.today() - datetime.timedelta(1) # fcinit = datetime.datetime(yesterday.year, yesterday.month, yesterday.day) # fcstart = fcinit # fcend = fcstart + datetime.timedelta(4) # dl = self.driver.dldriver # dl.get('NO2', fcinit, fcstart, fcend, 'blatest1.nc') ## def get(self, species, fcinit, fcstart, fcend, fn_out): if __name__ == '__main__': unittest.main()

[ "hilboll@uni-bremen.de" ]

hilboll@uni-bremen.de

1943786d90c3e350147505fb37ab3c28ffdba700

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/sara/main.py

39216c24749b3ece7c2bb96f0e6e2f63d498b4b3

[]

no_license

kwarwp/ida

8d5fb4e893e6958cafbe8a91bcb75167634ff391

6f8d783e0fd750d164c676d1c20024e891b8be5b

refs/heads/master

2022-09-13T14:57:35.198924

2022-09-06T13:38:24

129,903,511

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null

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# ida.sara.main.py from _spy.vitollino.main import Cena, Elemento, Texto, STYLE from _spy.vitollino.main import INVENTARIO as inv STYLE["width"]=900 PANTANO = "https://1.bp.blogspot.com/-jALpqBrfBW4/VvvS6bpUnVI/AAAAAAAAATo/sd2gRUbk3tc-rdp8iPeEXCgz6LSQGjGzQ/s1600/Swamp%2BHouse.jpg" ALICE = "https://3.bp.blogspot.com/-o7Y78sYGkjY/V6O1G7WysSI/AAAAAAAAMO8/IG0Q7cJKKcYA70fLNINSaLG02t9fQT52QCLcB/s1600/ALICE%2B%25283%2529.png" TARZAN = "https://vignette.wikia.nocookie.net/vsbattles/images/6/68/Tarzan.png/revision/latest?cb=20170117061234" YODA = "https://vignette.wikia.nocookie.net/disney/images/9/95/Master_Yoda.png/revision/latest?cb=20161024220430&path-prefix=pt-br" AVENIDA = "https://3.bp.blogspot.com/-L6J4CqwyXWY/W2XD_sCVqhI/AAAAAAAA1Ck/dGexwCTuNsA3YCrC8vaQTb9lsY7dHDdugCLcBGAs/s1600/Ciclovia%2BAmaral%2BPeixoto%2B2.png" def criarcenas(): pantano =Cena(img=PANTANO) avenida =Cena(img=AVENIDA) pantano.direita = avenida avenida.esquerda=pantano alice =Elemento(img= ALICE, tit="Alice", style=dict(left=150, top=150, width=60,height=200)) alice.entra(pantano) falaalice = Texto(pantano, " Em uma noite enluarada, Dona ALICE saiu para dar uma volta. Porém, durante o passeio, se perdeu no caminho e não enxergava nada a sua frente além de um pantamo assutador.Pensando em como sair daquela enrrascada, a pequena Alice não teve outra opção do que rezar, quando de repente...") alice.vai=falaalice.vai tarzan =Elemento(img= TARZAN, tit="Tarzan", style=dict(left=150, top=150, width=60,height=200)) tarzan.entra(pantano) falatarzan = Texto(pantano, "-Oooo oooo ooooo ooooo!!!!- Eis que surge o Tarzan, que indignou-se pela hora que a menina andava pela rua. -Que cê tá fazendo aqui? Tá tarde!") tarzan.vai=falatarzan.vai pantano.vai() criarcenas()

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#!/root/git/django-oscar/oscar/bin/python # -*- coding: utf-8 -*- import re import sys from tox._quickstart import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())

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misweyu2007@gmail.com

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marqui5/py

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#!/usr/bin/env python # -*- coding:utf-8 -*- """ pip install pillow pip install baidu-aip pip install tkinter """ import PIL import time import base64 import tkinter as tk from PIL import Image from PIL import ImageTk from aip import AipFace from tkinter.filedialog import askopenfilename # 配置百度aip参数 APP_ID = '15768642' API_KEY = 'xhiiGmGPRCRj10XIqVlVeCky' SECRET_KEY = 'ZDMMAO7StwTKzW8BspVQxvoGtdgSW4yI' a_face = AipFace(APP_ID, API_KEY, SECRET_KEY) image_type = 'BASE64' options = {'face_field': 'age,gender,beauty'} def get_file_content(file_path): """获取文件内容""" with open(file_path, 'rb') as fr: content = base64.b64encode(fr.read()) return content.decode('utf8') def face_score(file_path): """脸部识别分数""" result = a_face.detect(get_file_content(file_path), image_type, options) print(result) age = result['result']['face_list'][0]['age'] beauty = result['result']['face_list'][0]['beauty'] gender = result['result']['face_list'][0]['gender']['type'] return age, beauty, gender class ScoreSystem(): """打分系统类""" root = tk.Tk() # 修改程序框的大小 root.geometry('800x500') # 添加程序框标题 root.title('女神/男神颜值打分系统') # 修改背景色 canvas = tk.Canvas(root, width=800, # 指定Canvas组件的宽度 height=500, # 指定Canvas组件的高度 bg='#E6E6FA') # 指定Canvas组件的背景色 canvas.pack() def start_interface(self): """主运行函数""" self.title() self.time_component() # 打开本地文件 tk.Button(self.root, text='打开文件', command=self.show_original_pic).place(x=50, y=150) # 进行颜值评分 tk.Button(self.root, text='运行程序', command=self.open_files2).place(x=50, y=230) # 显示帮助文档 tk.Button(self.root, text='帮助文档', command=self.show_help).place(x=50, y=310) # 退出系统 tk.Button(self.root, text='退出软件', command=self.quit).place(x=50, y=390) # 显示图框标题 tk.Label(self.root, text='原图', font=10).place(x=380, y=120) # 修改图片大小 self.label_img_original = tk.Label(self.root) # 设置显示图框背景 self.cv_orinial = tk.Canvas(self.root, bg='white', width=270, height=270) # 设置显示图框边框 self.cv_orinial.create_rectangle(8, 8, 260, 260, width=1, outline='red') # 设置位置 self.cv_orinial.place(x=265, y=150) # 显示图片位置 self.label_img_original.place(x=265, y=150) # 设置评分标签 tk.Label(self.root, text='性别', font=10).place(x=680, y=150) self.text1 = tk.Text(self.root, width=10, height=2) tk.Label(self.root, text='年龄', font=10).place(x=680, y=250) self.text2 = tk.Text(self.root, width=10, height=2) tk.Label(self.root, text='评分', font=10).place(x=680, y=350) self.text3 = tk.Text(self.root, width=10, height=2) # 填装文字 self.text1.place(x=680, y=175) self.text2.place(x=680, y=285) self.text3.place(x=680, y=385) # 开启循环 self.root.mainloop() def show_original_pic(self): """放入文件""" self.path_ = askopenfilename(title='选择文件') # 处理文件 img = Image.open(fr'{self.path_}') img = img.resize((270, 270), PIL.Image.ANTIALIAS) # 调整图片大小至270*270 # 生成tkinter图片对象 img_png_original = ImageTk.PhotoImage(img) # 设置图片对象 self.label_img_original.config(image=img_png_original) self.label_img_original.image = img_png_original self.cv_orinial.create_image(5, 5, anchor='nw', image=img_png_original) def open_files2(self): # 获取百度API接口获得的年龄、分数、性别 age, score, gender = face_score(self.path_) # 清楚text文本框内容并进行插入 self.text1.delete(1.0, tk.END) self.text1.tag_config('red', foreground='RED') self.text1.insert(tk.END, gender, 'red') self.text2.delete(1.0, tk.END) self.text2.tag_config('red', foreground='RED') self.text2.insert(tk.END, age, 'red') self.text3.delete(1.0, tk.END) self.text3.tag_config('red', foreground='RED') self.text3.insert(tk.END, score, 'red') def show_help(self): """显示帮助""" pass def quit(self): """退出""" self.root.quit() def get_time(self, lb): """获取时间""" time_str = time.strftime("%Y-%m-%d %H:%M:%S") # 获取当前的时间并转化为字符串 lb.configure(text=time_str) # 重新设置标签文本 self.root.after(1000, self.get_time, lb) # 每隔1s调用函数 get_time自身获取时间 def time_component(self): """时间组件""" lb = tk.Label(self.root, text='', fg='blue', font=("黑体", 15)) lb.place(relx=0.75, rely=0.90) self.get_time(lb) def title(self): """标题设计""" lb = tk.Label(self.root, text='女神/男神颜值打分系统', bg='#6495ED', fg='lightpink', font=('华文新魏', 32), width=20, height=2, # relief=tk.SUNKEN ) lb.place(x=200, y=10) score_system = ScoreSystem() score_system.start_interface()

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marquisv587@gmail.com

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richardruancw/StarcraftElite

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import tensorflow as tf class config(): # env specific evaluate = False # output config output_path = "../results/policy_gradient/" model_output = output_path + "model.weights/" log_path = output_path + "log.txt" plot_output = output_path + "Policy_gradient.png" summary_freq = 1 save_freq = 5 # model and training config mode = "MC" # value can be "TD" or "MC" num_batches = 100 # number of batches trained on batch_size = 100 # number of steps used to compute each policy update, default is 1000 max_ep_len = 100 # maximum episode length eval_batch_size = batch_size rand_begin = 0.2 rand_end = 0 rand_steps = num_batches learning_rate = 3e-2 gamma = 0.98 # the discount factor use_baseline = True normalize_advantage = True history_mul = 1 restore = False # since we start new episodes for each batch assert max_ep_len <= batch_size assert rand_steps <= num_batches

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vinyao1994@gmail.com

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/gcloud/google-cloud-sdk/lib/googlecloudsdk/third_party/apis/cloudscheduler/v1beta1/cloudscheduler_v1beta1_messages.py

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bopopescu/JobSniperRails

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"""Generated message classes for cloudscheduler version v1beta1. Creates and manages jobs run on a regular recurring schedule. """ # NOTE: This file is autogenerated and should not be edited by hand. from apitools.base.protorpclite import messages as _messages from apitools.base.py import encoding from apitools.base.py import extra_types package = 'cloudscheduler' class AppEngineHttpTarget(_messages.Message): r"""App Engine target. The job will be pushed to a job handler by means of an HTTP request via an http_method such as HTTP POST, HTTP GET, etc. The job is acknowledged by means of an HTTP response code in the range [200 - 299]. Error 503 is considered an App Engine system error instead of an application error. Requests returning error 503 will be retried regardless of retry configuration and not counted against retry counts. Any other response code, or a failure to receive a response before the deadline, constitutes a failed attempt. Enums: HttpMethodValueValuesEnum: The HTTP method to use for the request. PATCH and OPTIONS are not permitted. Messages: HeadersValue: HTTP request headers. This map contains the header field names and values. Headers can be set when the job is created. Cloud Scheduler sets some headers to default values: * `User-Agent`: By default, this header is `"AppEngine-Google; (+http://code.google.com/appengine)"`. This header can be modified, but Cloud Scheduler will append `"AppEngine-Google; (+http://code.google.com/appengine)"` to the modified `User-Agent`. * `X-CloudScheduler`: This header will be set to true. If the job has an body, Cloud Scheduler sets the following headers: * `Content-Type`: By default, the `Content-Type` header is set to `"application/octet- stream"`. The default can be overridden by explictly setting `Content- Type` to a particular media type when the job is created. For example, `Content-Type` can be set to `"application/json"`. * `Content- Length`: This is computed by Cloud Scheduler. This value is output only. It cannot be changed. The headers below are output only. They cannot be set or overridden: * `X-Google-*`: For Google internal use only. * `X-AppEngine-*`: For Google internal use only. In addition, some App Engine headers, which contain job-specific information, are also be sent to the job handler. Fields: appEngineRouting: App Engine Routing setting for the job. body: Body. HTTP request body. A request body is allowed only if the HTTP method is POST or PUT. It will result in invalid argument error to set a body on a job with an incompatible HttpMethod. headers: HTTP request headers. This map contains the header field names and values. Headers can be set when the job is created. Cloud Scheduler sets some headers to default values: * `User-Agent`: By default, this header is `"AppEngine-Google; (+http://code.google.com/appengine)"`. This header can be modified, but Cloud Scheduler will append `"AppEngine-Google; (+http://code.google.com/appengine)"` to the modified `User-Agent`. * `X-CloudScheduler`: This header will be set to true. If the job has an body, Cloud Scheduler sets the following headers: * `Content-Type`: By default, the `Content-Type` header is set to `"application/octet-stream"`. The default can be overridden by explictly setting `Content-Type` to a particular media type when the job is created. For example, `Content-Type` can be set to `"application/json"`. * `Content-Length`: This is computed by Cloud Scheduler. This value is output only. It cannot be changed. The headers below are output only. They cannot be set or overridden: * `X-Google-*`: For Google internal use only. * `X-AppEngine-*`: For Google internal use only. In addition, some App Engine headers, which contain job-specific information, are also be sent to the job handler. httpMethod: The HTTP method to use for the request. PATCH and OPTIONS are not permitted. relativeUri: The relative URI. The relative URL must begin with "/" and must be a valid HTTP relative URL. It can contain a path, query string arguments, and `#` fragments. If the relative URL is empty, then the root path "/" will be used. No spaces are allowed, and the maximum length allowed is 2083 characters. """ class HttpMethodValueValuesEnum(_messages.Enum): r"""The HTTP method to use for the request. PATCH and OPTIONS are not permitted. Values: HTTP_METHOD_UNSPECIFIED: HTTP method unspecified. Defaults to POST. POST: HTTP POST GET: HTTP GET HEAD: HTTP HEAD PUT: HTTP PUT DELETE: HTTP DELETE PATCH: HTTP PATCH OPTIONS: HTTP OPTIONS """ HTTP_METHOD_UNSPECIFIED = 0 POST = 1 GET = 2 HEAD = 3 PUT = 4 DELETE = 5 PATCH = 6 OPTIONS = 7 @encoding.MapUnrecognizedFields('additionalProperties') class HeadersValue(_messages.Message): r"""HTTP request headers. This map contains the header field names and values. Headers can be set when the job is created. Cloud Scheduler sets some headers to default values: * `User-Agent`: By default, this header is `"AppEngine-Google; (+http://code.google.com/appengine)"`. This header can be modified, but Cloud Scheduler will append `"AppEngine- Google; (+http://code.google.com/appengine)"` to the modified `User- Agent`. * `X-CloudScheduler`: This header will be set to true. If the job has an body, Cloud Scheduler sets the following headers: * `Content- Type`: By default, the `Content-Type` header is set to `"application /octet-stream"`. The default can be overridden by explictly setting `Content-Type` to a particular media type when the job is created. For example, `Content-Type` can be set to `"application/json"`. * `Content- Length`: This is computed by Cloud Scheduler. This value is output only. It cannot be changed. The headers below are output only. They cannot be set or overridden: * `X-Google-*`: For Google internal use only. * `X-AppEngine-*`: For Google internal use only. In addition, some App Engine headers, which contain job-specific information, are also be sent to the job handler. Messages: AdditionalProperty: An additional property for a HeadersValue object. Fields: additionalProperties: Additional properties of type HeadersValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a HeadersValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) appEngineRouting = _messages.MessageField('AppEngineRouting', 1) body = _messages.BytesField(2) headers = _messages.MessageField('HeadersValue', 3) httpMethod = _messages.EnumField('HttpMethodValueValuesEnum', 4) relativeUri = _messages.StringField(5) class AppEngineRouting(_messages.Message): r"""App Engine Routing. For more information about services, versions, and instances see [An Overview of App Engine](https://cloud.google.com/appengine/docs/python/an-overview-of-app- engine), [Microservices Architecture on Google App Engine](https://cloud.google.com/appengine/docs/python/microservices-on-app- engine), [App Engine Standard request routing](https://cloud.google.com/appengine/docs/standard/python/how- requests-are-routed), and [App Engine Flex request routing](https://cloud.google.com/appengine/docs/flexible/python/how- requests-are-routed). Fields: host: Output only. The host that the job is sent to. For more information about how App Engine requests are routed, see [here](https://cloud.google.com/appengine/docs/standard/python/how- requests-are-routed). The host is constructed as: * `host = [application_domain_name]`</br> `| [service] + '.' + [application_domain_name]`</br> `| [version] + '.' + [application_domain_name]`</br> `| [version_dot_service]+ '.' + [application_domain_name]`</br> `| [instance] + '.' + [application_domain_name]`</br> `| [instance_dot_service] + '.' + [application_domain_name]`</br> `| [instance_dot_version] + '.' + [application_domain_name]`</br> `| [instance_dot_version_dot_service] + '.' + [application_domain_name]` * `application_domain_name` = The domain name of the app, for example <app-id>.appspot.com, which is associated with the job's project ID. * `service =` service * `version =` version * `version_dot_service =` version `+ '.' +` service * `instance =` instance * `instance_dot_service =` instance `+ '.' +` service * `instance_dot_version =` instance `+ '.' +` version * `instance_dot_version_dot_service =` instance `+ '.' +` version `+ '.' +` service If service is empty, then the job will be sent to the service which is the default service when the job is attempted. If version is empty, then the job will be sent to the version which is the default version when the job is attempted. If instance is empty, then the job will be sent to an instance which is available when the job is attempted. If service, version, or instance is invalid, then the job will be sent to the default version of the default service when the job is attempted. instance: App instance. By default, the job is sent to an instance which is available when the job is attempted. Requests can only be sent to a specific instance if [manual scaling is used in App Engine Standard](https://cloud.google.com/appengine/docs/python/an-overview-of- app-engine?hl=en_US#scaling_types_and_instance_classes). App Engine Flex does not support instances. For more information, see [App Engine Standard request routing](https://cloud.google.com/appengine/docs/standard/python/how- requests-are-routed) and [App Engine Flex request routing](https://cloud.google.com/appengine/docs/flexible/python/how- requests-are-routed). service: App service. By default, the job is sent to the service which is the default service when the job is attempted. version: App version. By default, the job is sent to the version which is the default version when the job is attempted. """ host = _messages.StringField(1) instance = _messages.StringField(2) service = _messages.StringField(3) version = _messages.StringField(4) class CloudschedulerProjectsLocationsGetRequest(_messages.Message): r"""A CloudschedulerProjectsLocationsGetRequest object. Fields: name: Resource name for the location. """ name = _messages.StringField(1, required=True) class CloudschedulerProjectsLocationsJobsCreateRequest(_messages.Message): r"""A CloudschedulerProjectsLocationsJobsCreateRequest object. Fields: job: A Job resource to be passed as the request body. parent: Required. The location name. For example: `projects/PROJECT_ID/locations/LOCATION_ID`. """ job = _messages.MessageField('Job', 1) parent = _messages.StringField(2, required=True) class CloudschedulerProjectsLocationsJobsDeleteRequest(_messages.Message): r"""A CloudschedulerProjectsLocationsJobsDeleteRequest object. Fields: name: Required. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID`. """ name = _messages.StringField(1, required=True) class CloudschedulerProjectsLocationsJobsGetRequest(_messages.Message): r"""A CloudschedulerProjectsLocationsJobsGetRequest object. Fields: name: Required. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID`. """ name = _messages.StringField(1, required=True) class CloudschedulerProjectsLocationsJobsListRequest(_messages.Message): r"""A CloudschedulerProjectsLocationsJobsListRequest object. Fields: pageSize: Requested page size. The maximum page size is 500. If unspecified, the page size will be the maximum. Fewer jobs than requested might be returned, even if more jobs exist; use next_page_token to determine if more jobs exist. pageToken: A token identifying a page of results the server will return. To request the first page results, page_token must be empty. To request the next page of results, page_token must be the value of next_page_token returned from the previous call to ListJobs. It is an error to switch the value of filter or order_by while iterating through pages. parent: Required. The location name. For example: `projects/PROJECT_ID/locations/LOCATION_ID`. """ pageSize = _messages.IntegerField(1, variant=_messages.Variant.INT32) pageToken = _messages.StringField(2) parent = _messages.StringField(3, required=True) class CloudschedulerProjectsLocationsJobsPatchRequest(_messages.Message): r"""A CloudschedulerProjectsLocationsJobsPatchRequest object. Fields: job: A Job resource to be passed as the request body. name: Optionally caller-specified in CreateJob, after which it becomes output only. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID`. * `PROJECT_ID` can contain letters ([A-Za-z]), numbers ([0-9]), hyphens (-), colons (:), or periods (.). For more information, see [Identifying projects](https://cloud.google.com/resource-manager/docs/creating- managing-projects#identifying_projects) * `LOCATION_ID` is the canonical ID for the job's location. The list of available locations can be obtained by calling ListLocations. For more information, see https://cloud.google.com/about/locations/. * `JOB_ID` can contain only letters ([A-Za-z]), numbers ([0-9]), hyphens (-), or underscores (_). The maximum length is 500 characters. updateMask: A mask used to specify which fields of the job are being updated. """ job = _messages.MessageField('Job', 1) name = _messages.StringField(2, required=True) updateMask = _messages.StringField(3) class CloudschedulerProjectsLocationsJobsPauseRequest(_messages.Message): r"""A CloudschedulerProjectsLocationsJobsPauseRequest object. Fields: name: Required. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID`. pauseJobRequest: A PauseJobRequest resource to be passed as the request body. """ name = _messages.StringField(1, required=True) pauseJobRequest = _messages.MessageField('PauseJobRequest', 2) class CloudschedulerProjectsLocationsJobsResumeRequest(_messages.Message): r"""A CloudschedulerProjectsLocationsJobsResumeRequest object. Fields: name: Required. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID`. resumeJobRequest: A ResumeJobRequest resource to be passed as the request body. """ name = _messages.StringField(1, required=True) resumeJobRequest = _messages.MessageField('ResumeJobRequest', 2) class CloudschedulerProjectsLocationsJobsRunRequest(_messages.Message): r"""A CloudschedulerProjectsLocationsJobsRunRequest object. Fields: name: Required. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID`. runJobRequest: A RunJobRequest resource to be passed as the request body. """ name = _messages.StringField(1, required=True) runJobRequest = _messages.MessageField('RunJobRequest', 2) class CloudschedulerProjectsLocationsListRequest(_messages.Message): r"""A CloudschedulerProjectsLocationsListRequest object. Fields: filter: The standard list filter. name: The resource that owns the locations collection, if applicable. pageSize: The standard list page size. pageToken: The standard list page token. """ filter = _messages.StringField(1) name = _messages.StringField(2, required=True) pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32) pageToken = _messages.StringField(4) class Empty(_messages.Message): r"""A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`. """ class HttpTarget(_messages.Message): r"""Http target. The job will be pushed to the job handler by means of an HTTP request via an http_method such as HTTP POST, HTTP GET, etc. The job is acknowledged by means of an HTTP response code in the range [200 - 299]. A failure to receive a response constitutes a failed execution. For a redirected request, the response returned by the redirected request is considered. Enums: HttpMethodValueValuesEnum: Which HTTP method to use for the request. Messages: HeadersValue: The user can specify HTTP request headers to send with the job's HTTP request. This map contains the header field names and values. Repeated headers are not supported, but a header value can contain commas. These headers represent a subset of the headers that will accompany the job's HTTP request. Some HTTP request headers will be ignored or replaced. A partial list of headers that will be ignored or replaced is below: - Host: This will be computed by Cloud Scheduler and derived from uri. * `Content-Length`: This will be computed by Cloud Scheduler. * `User-Agent`: This will be set to `"Google-Cloud- Scheduler"`. * `X-Google-*`: Google internal use only. * `X-AppEngine-*`: Google internal use only. The total size of headers must be less than 80KB. Fields: body: HTTP request body. A request body is allowed only if the HTTP method is POST, PUT, or PATCH. It is an error to set body on a job with an incompatible HttpMethod. headers: The user can specify HTTP request headers to send with the job's HTTP request. This map contains the header field names and values. Repeated headers are not supported, but a header value can contain commas. These headers represent a subset of the headers that will accompany the job's HTTP request. Some HTTP request headers will be ignored or replaced. A partial list of headers that will be ignored or replaced is below: - Host: This will be computed by Cloud Scheduler and derived from uri. * `Content-Length`: This will be computed by Cloud Scheduler. * `User-Agent`: This will be set to `"Google-Cloud- Scheduler"`. * `X-Google-*`: Google internal use only. * `X-AppEngine-*`: Google internal use only. The total size of headers must be less than 80KB. httpMethod: Which HTTP method to use for the request. oauthToken: If specified, an [OAuth token](https://developers.google.com/identity/protocols/OAuth2) will be generated and attached as an `Authorization` header in the HTTP request. This type of authorization should generally only be used when calling Google APIs hosted on *.googleapis.com. oidcToken: If specified, an [OIDC](https://developers.google.com/identity/protocols/OpenIDConnect) token will be generated and attached as an `Authorization` header in the HTTP request. This type of authorization can be used for many scenarios, including calling Cloud Run, or endpoints where you intend to validate the token yourself. uri: Required. The full URI path that the request will be sent to. This string must begin with either "http://" or "https://". Some examples of valid values for uri are: `http://acme.com` and `https://acme.com/sales:8080`. Cloud Scheduler will encode some characters for safety and compatibility. The maximum allowed URL length is 2083 characters after encoding. """ class HttpMethodValueValuesEnum(_messages.Enum): r"""Which HTTP method to use for the request. Values: HTTP_METHOD_UNSPECIFIED: HTTP method unspecified. Defaults to POST. POST: HTTP POST GET: HTTP GET HEAD: HTTP HEAD PUT: HTTP PUT DELETE: HTTP DELETE PATCH: HTTP PATCH OPTIONS: HTTP OPTIONS """ HTTP_METHOD_UNSPECIFIED = 0 POST = 1 GET = 2 HEAD = 3 PUT = 4 DELETE = 5 PATCH = 6 OPTIONS = 7 @encoding.MapUnrecognizedFields('additionalProperties') class HeadersValue(_messages.Message): r"""The user can specify HTTP request headers to send with the job's HTTP request. This map contains the header field names and values. Repeated headers are not supported, but a header value can contain commas. These headers represent a subset of the headers that will accompany the job's HTTP request. Some HTTP request headers will be ignored or replaced. A partial list of headers that will be ignored or replaced is below: - Host: This will be computed by Cloud Scheduler and derived from uri. * `Content- Length`: This will be computed by Cloud Scheduler. * `User-Agent`: This will be set to `"Google-Cloud-Scheduler"`. * `X-Google-*`: Google internal use only. * `X-AppEngine-*`: Google internal use only. The total size of headers must be less than 80KB. Messages: AdditionalProperty: An additional property for a HeadersValue object. Fields: additionalProperties: Additional properties of type HeadersValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a HeadersValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) body = _messages.BytesField(1) headers = _messages.MessageField('HeadersValue', 2) httpMethod = _messages.EnumField('HttpMethodValueValuesEnum', 3) oauthToken = _messages.MessageField('OAuthToken', 4) oidcToken = _messages.MessageField('OidcToken', 5) uri = _messages.StringField(6) class Job(_messages.Message): r"""Configuration for a job. The maximum allowed size for a job is 100KB. Enums: StateValueValuesEnum: Output only. State of the job. Fields: appEngineHttpTarget: App Engine HTTP target. attemptDeadline: The deadline for job attempts. If the request handler does not respond by this deadline then the request is cancelled and the attempt is marked as a `DEADLINE_EXCEEDED` failure. The failed attempt can be viewed in execution logs. Cloud Scheduler will retry the job according to the RetryConfig. The allowed duration for this deadline is: * For HTTP targets, between 15 seconds and 30 minutes. * For App Engine HTTP targets, between 15 seconds and 24 hours. * For PubSub targets, this field is ignored. description: Optionally caller-specified in CreateJob or UpdateJob. A human-readable description for the job. This string must not contain more than 500 characters. httpTarget: HTTP target. lastAttemptTime: Output only. The time the last job attempt started. name: Optionally caller-specified in CreateJob, after which it becomes output only. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID`. * `PROJECT_ID` can contain letters ([A-Za-z]), numbers ([0-9]), hyphens (-), colons (:), or periods (.). For more information, see [Identifying projects](https://cloud.google.com/resource-manager/docs/creating- managing-projects#identifying_projects) * `LOCATION_ID` is the canonical ID for the job's location. The list of available locations can be obtained by calling ListLocations. For more information, see https://cloud.google.com/about/locations/. * `JOB_ID` can contain only letters ([A-Za-z]), numbers ([0-9]), hyphens (-), or underscores (_). The maximum length is 500 characters. pubsubTarget: Pub/Sub target. retryConfig: Settings that determine the retry behavior. schedule: Required, except when used with UpdateJob. Describes the schedule on which the job will be executed. The schedule can be either of the following types: * [Crontab](http://en.wikipedia.org/wiki/Cron#Overview) * English-like [schedule](https://cloud.google.com/scheduler/docs/configuring/cron-job- schedules) As a general rule, execution `n + 1` of a job will not begin until execution `n` has finished. Cloud Scheduler will never allow two simultaneously outstanding executions. For example, this implies that if the `n+1`th execution is scheduled to run at 16:00 but the `n`th execution takes until 16:15, the `n+1`th execution will not start until `16:15`. A scheduled start time will be delayed if the previous execution has not ended when its scheduled time occurs. If retry_count > 0 and a job attempt fails, the job will be tried a total of retry_count times, with exponential backoff, until the next scheduled start time. scheduleTime: Output only. The next time the job is scheduled. Note that this may be a retry of a previously failed attempt or the next execution time according to the schedule. state: Output only. State of the job. status: Output only. The response from the target for the last attempted execution. timeZone: Specifies the time zone to be used in interpreting schedule. The value of this field must be a time zone name from the [tz database](http://en.wikipedia.org/wiki/Tz_database). Note that some time zones include a provision for daylight savings time. The rules for daylight saving time are determined by the chosen tz. For UTC use the string "utc". If a time zone is not specified, the default will be in UTC (also known as GMT). userUpdateTime: Output only. The creation time of the job. """ class StateValueValuesEnum(_messages.Enum): r"""Output only. State of the job. Values: STATE_UNSPECIFIED: Unspecified state. ENABLED: The job is executing normally. PAUSED: The job is paused by the user. It will not execute. A user can intentionally pause the job using PauseJobRequest. DISABLED: The job is disabled by the system due to error. The user cannot directly set a job to be disabled. UPDATE_FAILED: The job state resulting from a failed CloudScheduler.UpdateJob operation. To recover a job from this state, retry CloudScheduler.UpdateJob until a successful response is received. """ STATE_UNSPECIFIED = 0 ENABLED = 1 PAUSED = 2 DISABLED = 3 UPDATE_FAILED = 4 appEngineHttpTarget = _messages.MessageField('AppEngineHttpTarget', 1) attemptDeadline = _messages.StringField(2) description = _messages.StringField(3) httpTarget = _messages.MessageField('HttpTarget', 4) lastAttemptTime = _messages.StringField(5) name = _messages.StringField(6) pubsubTarget = _messages.MessageField('PubsubTarget', 7) retryConfig = _messages.MessageField('RetryConfig', 8) schedule = _messages.StringField(9) scheduleTime = _messages.StringField(10) state = _messages.EnumField('StateValueValuesEnum', 11) status = _messages.MessageField('Status', 12) timeZone = _messages.StringField(13) userUpdateTime = _messages.StringField(14) class ListJobsResponse(_messages.Message): r"""Response message for listing jobs using ListJobs. Fields: jobs: The list of jobs. nextPageToken: A token to retrieve next page of results. Pass this value in the page_token field in the subsequent call to ListJobs to retrieve the next page of results. If this is empty it indicates that there are no more results through which to paginate. The page token is valid for only 2 hours. """ jobs = _messages.MessageField('Job', 1, repeated=True) nextPageToken = _messages.StringField(2) class ListLocationsResponse(_messages.Message): r"""The response message for Locations.ListLocations. Fields: locations: A list of locations that matches the specified filter in the request. nextPageToken: The standard List next-page token. """ locations = _messages.MessageField('Location', 1, repeated=True) nextPageToken = _messages.StringField(2) class Location(_messages.Message): r"""A resource that represents Google Cloud Platform location. Messages: LabelsValue: Cross-service attributes for the location. For example {"cloud.googleapis.com/region": "us-east1"} MetadataValue: Service-specific metadata. For example the available capacity at the given location. Fields: displayName: The friendly name for this location, typically a nearby city name. For example, "Tokyo". labels: Cross-service attributes for the location. For example {"cloud.googleapis.com/region": "us-east1"} locationId: The canonical id for this location. For example: `"us-east1"`. metadata: Service-specific metadata. For example the available capacity at the given location. name: Resource name for the location, which may vary between implementations. For example: `"projects/example-project/locations/us- east1"` """ @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Cross-service attributes for the location. For example {"cloud.googleapis.com/region": "us-east1"} Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) @encoding.MapUnrecognizedFields('additionalProperties') class MetadataValue(_messages.Message): r"""Service-specific metadata. For example the available capacity at the given location. Messages: AdditionalProperty: An additional property for a MetadataValue object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a MetadataValue object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) displayName = _messages.StringField(1) labels = _messages.MessageField('LabelsValue', 2) locationId = _messages.StringField(3) metadata = _messages.MessageField('MetadataValue', 4) name = _messages.StringField(5) class OAuthToken(_messages.Message): r"""Contains information needed for generating an [OAuth token](https://developers.google.com/identity/protocols/OAuth2). This type of authorization should generally only be used when calling Google APIs hosted on *.googleapis.com. Fields: scope: OAuth scope to be used for generating OAuth access token. If not specified, "https://www.googleapis.com/auth/cloud-platform" will be used. serviceAccountEmail: [Service account email](https://cloud.google.com/iam/docs/service-accounts) to be used for generating OAuth token. The service account must be within the same project as the job. The caller must have iam.serviceAccounts.actAs permission for the service account. """ scope = _messages.StringField(1) serviceAccountEmail = _messages.StringField(2) class OidcToken(_messages.Message): r"""Contains information needed for generating an [OpenID Connect token](https://developers.google.com/identity/protocols/OpenIDConnect). This type of authorization can be used for many scenarios, including calling Cloud Run, or endpoints where you intend to validate the token yourself. Fields: audience: Audience to be used when generating OIDC token. If not specified, the URI specified in target will be used. serviceAccountEmail: [Service account email](https://cloud.google.com/iam/docs/service-accounts) to be used for generating OIDC token. The service account must be within the same project as the job. The caller must have iam.serviceAccounts.actAs permission for the service account. """ audience = _messages.StringField(1) serviceAccountEmail = _messages.StringField(2) class PauseJobRequest(_messages.Message): r"""Request message for PauseJob.""" class PubsubMessage(_messages.Message): r"""A message that is published by publishers and consumed by subscribers. The message must contain either a non-empty data field or at least one attribute. Note that client libraries represent this object differently depending on the language. See the corresponding <a href="https://cloud.google.com/pubsub/docs/reference/libraries">client library documentation</a> for more information. See <a href="https://cloud.google.com/pubsub/quotas">Quotas and limits</a> for more information about message limits. Messages: AttributesValue: Optional attributes for this message. Fields: attributes: Optional attributes for this message. data: The message data field. If this field is empty, the message must contain at least one attribute. messageId: ID of this message, assigned by the server when the message is published. Guaranteed to be unique within the topic. This value may be read by a subscriber that receives a `PubsubMessage` via a `Pull` call or a push delivery. It must not be populated by the publisher in a `Publish` call. publishTime: The time at which the message was published, populated by the server when it receives the `Publish` call. It must not be populated by the publisher in a `Publish` call. """ @encoding.MapUnrecognizedFields('additionalProperties') class AttributesValue(_messages.Message): r"""Optional attributes for this message. Messages: AdditionalProperty: An additional property for a AttributesValue object. Fields: additionalProperties: Additional properties of type AttributesValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a AttributesValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) attributes = _messages.MessageField('AttributesValue', 1) data = _messages.BytesField(2) messageId = _messages.StringField(3) publishTime = _messages.StringField(4) class PubsubTarget(_messages.Message): r"""Pub/Sub target. The job will be delivered by publishing a message to the given Pub/Sub topic. Messages: AttributesValue: Attributes for PubsubMessage. Pubsub message must contain either non-empty data, or at least one attribute. Fields: attributes: Attributes for PubsubMessage. Pubsub message must contain either non-empty data, or at least one attribute. data: The message payload for PubsubMessage. Pubsub message must contain either non-empty data, or at least one attribute. topicName: Required. The name of the Cloud Pub/Sub topic to which messages will be published when a job is delivered. The topic name must be in the same format as required by PubSub's [PublishRequest.name](https://cloud. google.com/pubsub/docs/reference/rpc/google.pubsub.v1#publishrequest), for example `projects/PROJECT_ID/topics/TOPIC_ID`. The topic must be in the same project as the Cloud Scheduler job. """ @encoding.MapUnrecognizedFields('additionalProperties') class AttributesValue(_messages.Message): r"""Attributes for PubsubMessage. Pubsub message must contain either non- empty data, or at least one attribute. Messages: AdditionalProperty: An additional property for a AttributesValue object. Fields: additionalProperties: Additional properties of type AttributesValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a AttributesValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) attributes = _messages.MessageField('AttributesValue', 1) data = _messages.BytesField(2) topicName = _messages.StringField(3) class ResumeJobRequest(_messages.Message): r"""Request message for ResumeJob.""" class RetryConfig(_messages.Message): r"""Settings that determine the retry behavior. By default, if a job does not complete successfully (meaning that an acknowledgement is not received from the handler, then it will be retried with exponential backoff according to the settings in RetryConfig. Fields: maxBackoffDuration: The maximum amount of time to wait before retrying a job after it fails. The default value of this field is 1 hour. maxDoublings: The time between retries will double `max_doublings` times. A job's retry interval starts at min_backoff_duration, then doubles `max_doublings` times, then increases linearly, and finally retries retries at intervals of max_backoff_duration up to retry_count times. For example, if min_backoff_duration is 10s, max_backoff_duration is 300s, and `max_doublings` is 3, then the a job will first be retried in 10s. The retry interval will double three times, and then increase linearly by 2^3 * 10s. Finally, the job will retry at intervals of max_backoff_duration until the job has been attempted retry_count times. Thus, the requests will retry at 10s, 20s, 40s, 80s, 160s, 240s, 300s, 300s, .... The default value of this field is 5. maxRetryDuration: The time limit for retrying a failed job, measured from time when an execution was first attempted. If specified with retry_count, the job will be retried until both limits are reached. The default value for max_retry_duration is zero, which means retry duration is unlimited. minBackoffDuration: The minimum amount of time to wait before retrying a job after it fails. The default value of this field is 5 seconds. retryCount: The number of attempts that the system will make to run a job using the exponential backoff procedure described by max_doublings. The default value of retry_count is zero. If retry_count is zero, a job attempt will *not* be retried if it fails. Instead the Cloud Scheduler system will wait for the next scheduled execution time. If retry_count is set to a non-zero number then Cloud Scheduler will retry failed attempts, using exponential backoff, retry_count times, or until the next scheduled execution time, whichever comes first. Values greater than 5 and negative values are not allowed. """ maxBackoffDuration = _messages.StringField(1) maxDoublings = _messages.IntegerField(2, variant=_messages.Variant.INT32) maxRetryDuration = _messages.StringField(3) minBackoffDuration = _messages.StringField(4) retryCount = _messages.IntegerField(5, variant=_messages.Variant.INT32) class RunJobRequest(_messages.Message): r"""Request message for forcing a job to run now using RunJob.""" class StandardQueryParameters(_messages.Message): r"""Query parameters accepted by all methods. Enums: FXgafvValueValuesEnum: V1 error format. AltValueValuesEnum: Data format for response. Fields: f__xgafv: V1 error format. access_token: OAuth access token. alt: Data format for response. callback: JSONP fields: Selector specifying which fields to include in a partial response. key: API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token. oauth_token: OAuth 2.0 token for the current user. prettyPrint: Returns response with indentations and line breaks. quotaUser: Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. trace: A tracing token of the form "token:<tokenid>" to include in api requests. uploadType: Legacy upload protocol for media (e.g. "media", "multipart"). upload_protocol: Upload protocol for media (e.g. "raw", "multipart"). """ class AltValueValuesEnum(_messages.Enum): r"""Data format for response. Values: json: Responses with Content-Type of application/json media: Media download with context-dependent Content-Type proto: Responses with Content-Type of application/x-protobuf """ json = 0 media = 1 proto = 2 class FXgafvValueValuesEnum(_messages.Enum): r"""V1 error format. Values: _1: v1 error format _2: v2 error format """ _1 = 0 _2 = 1 f__xgafv = _messages.EnumField('FXgafvValueValuesEnum', 1) access_token = _messages.StringField(2) alt = _messages.EnumField('AltValueValuesEnum', 3, default=u'json') callback = _messages.StringField(4) fields = _messages.StringField(5) key = _messages.StringField(6) oauth_token = _messages.StringField(7) prettyPrint = _messages.BooleanField(8, default=True) quotaUser = _messages.StringField(9) trace = _messages.StringField(10) uploadType = _messages.StringField(11) upload_protocol = _messages.StringField(12) class Status(_messages.Message): r"""The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). Messages: DetailsValueListEntry: A DetailsValueListEntry object. Fields: code: The status code, which should be an enum value of google.rpc.Code. details: A list of messages that carry the error details. There is a common set of message types for APIs to use. message: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. """ @encoding.MapUnrecognizedFields('additionalProperties') class DetailsValueListEntry(_messages.Message): r"""A DetailsValueListEntry object. Messages: AdditionalProperty: An additional property for a DetailsValueListEntry object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a DetailsValueListEntry object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) code = _messages.IntegerField(1, variant=_messages.Variant.INT32) details = _messages.MessageField('DetailsValueListEntry', 2, repeated=True) message = _messages.StringField(3) encoding.AddCustomJsonFieldMapping( StandardQueryParameters, 'f__xgafv', '$.xgafv') encoding.AddCustomJsonEnumMapping( StandardQueryParameters.FXgafvValueValuesEnum, '_1', '1') encoding.AddCustomJsonEnumMapping( StandardQueryParameters.FXgafvValueValuesEnum, '_2', '2')

[ "luizfper@gmail.com" ]

luizfper@gmail.com

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/handywsgi/context/request.py

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haxwithaxe/handywsgi

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import cgi import urllib class Request: """ Encapsulation of the data in the request to the server. Attributes: environment (dict): os.envron wsgi (WSGIData): PEP-3333 wsgi environ netloc (str): Server name (and port for nonstandard ports). url (str): The full request URL (cleaned up). content (object): CONTENT_* CGI variables. http (object): HTTP_* CGI variables. query (object): QUERY_* CGI variables. client (object): CLIENT_* CGI variables. script (object): SCRIPT_*, PATH_*, and REQUEST_* CGI variables. server (object): SERVER_* CGI variables. """ def __init__(self, environment): self.environment = environment.copy() self.wsgi = WSGIData(environment.copy()) self._get_request_parts(environment.copy()) if self.server.port not in (None, '', 80, 443): self.netloc = '{}:{}'.format(self.server.name, self.server.port) else: self.netloc = self.server.name self.url = urllib.parse.urlunparse( (self.wsgi.url_scheme, self.netloc, self.query.path, self.query.param, '', '') ) def _get_request_parts(self, environment): """ Build up the object model of the incoming data. """ class Content: length = environment.get('CONTENT_LENGTH') mime = environment.get('CONTENT_TYPE') self.content = Content() class HTTP: accept = environment.get('HTTP_ACCEPT') accept_encoding = environment.get('HTTP_ACCEPT_ENCODING') accept_language = environment.get('HTTP_ACCEPT_LANGUAGE') cache_control = environment.get('HTTP_CACHE_CONTROL') connection = environment.get('HTTP_CONNECTION') hostname = environment.get('HTTP_HOST') user_agent = environment.get('HTTP_USER_AGENT') self.http = HTTP() class Query: path = environment.get('PATH_INFO') param = environment.get('QUERY_STRING') method = environment.get('REQUEST_METHOD') if param: full_path = '{}?{}'.format(path, param) else: full_path = path _params = cgi.FieldStorage(fp=environment['wsgi.input'], environ=environment.copy()) params = {p: _params.getvalue(p) for p in _params.keys()} self.query = Query() class Client: address = environment.get('REMOTE_ADDR') hostname = environment.get('REMOTE_HOST') self.client = Client() class Script: name = environment.get('SCRIPT_NAME') pwd = environment.get('PWD') gateway_interface = environment.get('GATEWAY_INTERFACE') self.script = Script() class Server: name = environment.get('SERVER_NAME') port = environment.get('SERVER_PORT') protocol = environment.get('SERVER_PROTOCOL') software = environment.get('SERVER_SOFTWARE') shlvl = environment.get('SHLVL') self.server = Server() class WSGIData: """ A model of the "wsgi.*" fields in the request data. """ def __init__(self, environment): self.errors = environment.get('wsgi.errors') # <_io.TextIOWrapper name='<stderr>' mode='w' encoding='UTF-8'>, self.file_wrapper = environment.get('wsgi.file_wrapper') # <class 'wsgiref.util.FileWrapper'> self.input_file = environment.get('wsgi.input') # <_io.BufferedReader name=5> self.post_data = cgi.FieldStorage(fp=environment.get('wsgi.input'), environ=environment, keep_blank_values=True) self.multiprocess = environment.get('wsgi.multiprocess') self.multithread = environment.get('wsgi.multithread') self.run_once = environment.get('wsgi.run_once') self.url_scheme = environment.get('wsgi.url_scheme') self.version = environment.get('wsgi.version')

[ "me@haxwithaxe.net" ]

me@haxwithaxe.net

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/UBTAutotest_Linebus_Platform_0708/BusProject/Linebus_Platform_API/common/read_datas.py

cbffee2328c880f180f203e74579637ff94bf245

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no_license

Smallblackincontrast/linebus_auto

88a433a91b6fd8e93c5c61d5ce7738af18f8afa5

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refs/heads/main

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# -*- coding:utf-8 -*- # @Time :2019/4/8 10:07 # @Author :Tester_Liang # @Email :649626809@qq.com # @File :read_datas.py # @software :PyCharm from openpyxl import load_workbook from BusProject.Linebus_Platform_API.common.MyLog import MyLogs import os class ReadDatas: def __init__(self, filename): self.log = MyLogs() if not os.path.exists(filename): self.log.error("找不到文件") else: self.filename = filename def read_datas(self, sheetname): try: wb = load_workbook(self.filename) except Exception as e: self.log.error("打开文件异常{}".format(e)) else: if sheetname not in wb.sheetnames: self.log.error("找不到表单") else: sheet = wb[sheetname] test_name = [] for column in range(1, sheet.max_column): test_name.append(sheet.cell(1, column).value) testdata = [] for i in range(2, sheet.max_row + 1): testdict = {} for j in range(1, 9): testdict[test_name[j - 1]] = sheet.cell(i, j).value testdata.append(testdict) return testdata def write_back(self, sheetname, row, result, passed): try: wb = load_workbook(self.filename) except Exception as e: self.log.error("打开文件异常{}".format(e)) else: if sheetname not in wb.sheetnames: self.log.error("找不到文件") else: sheet = wb[sheetname] sheet.cell(row, 9).value = result sheet.cell(row, 10).value = passed wb.save(self.filename)

[ "ruanzhe666@163.com" ]

ruanzhe666@163.com

8b791177c20c6544035723587cac13679ca5be30

4331b28f22a2efb12d462ae2a8270a9f666b0df1

/.history/dvdstore/webapp/views_20190913160121.py

76f1fffb46dcfc898dc3c617d665465394a1c248

[]

no_license

ZiyaadLakay/csc312.group.project

ba772a905e0841b17478eae7e14e43d8b078a95d

9cdd9068b5e24980c59a53595a5d513c2e738a5e

refs/heads/master

2020-07-26T23:30:22.542450

2019-09-16T11:46:41

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Python

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from django.shortcuts import render from .models import DVD, Transaction, Customer from django.core.paginator import EmptyPage,PageNotAnInteger, Paginator from django.db.models import Q from django.contrib.auth.models import User, auth from django.shortcuts import render, redirect from django.contrib import messages from django.core.files.storage import FileSystemStorage from django.contrib.auth.decorators import login_required, permission_required from .form import DocumentForm #This is the homepage for the User def home(request): dvds = DVD.objects.all() #imports dvds from database query = request.GET.get("query") gen = request.GET.get("gen") if query: dvds = DVD.objects.filter(Q(Title__icontains=query))#Search Function according to name elif gen: dvds = DVD.objects.filter(Q(genre__icontains=gen))#Search Function according to name paginator = Paginator(dvds, 3) # Show 3 dvds per page page = request.GET.get('page') dvds = paginator.get_page(page) genre = {'Action', 'Comedy', 'Drama', 'Family', 'Romance'} return render(request, 'home.html', {'dvds':dvds}, {'genre':genre}) #renders the page #This is the page for clerks @login_required def clerk(request): dvds = DVD.objects.all() #imports dvds from database trans = Transaction.objects.all() #imports dvds from database users = User.objects.all() #imports dvds from database customer = Customer.objects.all() #imports dvds from database query = request.GET.get("query") if query: dvds = DVD.objects.filter(Q(Title__icontains=query)) #Search Function according to name paginator = Paginator(dvds, 6) # Show 3 dvds per page page = request.GET.get('page') dvds = paginator.get_page(page) form=DocumentForm() context_dict = { 'dvds':dvds ,'form': form, 'trans':trans, 'users':users, 'customer':customer} return render(request, 'clerk.html',context_dict) @login_required def userstbl(request): dvds = DVD.objects.all() #imports dvds from database trans = Transaction.objects.all() #imports dvds from database users = User.objects.all() #imports dvds from database customer = Customer.objects.all() #imports dvds from database query = request.GET.get("query") if query: users = User.objects.filter(Q(username__icontains=query)) #Search Function according to name paginator = Paginator(dvds, 6) # Show 3 dvds per page page = request.GET.get('page') dvds = paginator.get_page(page) form=DocumentForm() context_dict = { 'dvds':dvds ,'form': form, 'trans':trans, 'users':users, 'customer':customer} return render(request, 'userstbl.html',context_dict) @login_required def transactions(request): dvds = DVD.objects.all() #imports dvds from database trans = Transaction.objects.all() #imports dvds from database users = User.objects.all() #imports dvds from database customer = Customer.objects.all() #imports dvds from database query = request.GET.get("query") if query: trans = Transaction.objects.filter(Q(TransactionNumber__icontains=query)) #Search Function according to name paginator = Paginator(dvds, 6) # Show 3 dvds per page page = request.GET.get('page') dvds = paginator.get_page(page) form=DocumentForm() context_dict = { 'dvds':dvds ,'form': form, 'trans':trans, 'users':users, 'customer':customer} return render(request, 'transactions.html',context_dict) def register2(request): if request.method == 'POST': first_name= request.POST['first_name'] last_name= request.POST['last_name'] username= request.POST['username'] email= request.POST['email'] password1= first_name[0]+last_name if User.objects.filter(username=username).exists(): messages.info(request, 'Username Taken') return redirect('clerk') elif User.objects.filter(email=email).exists(): messages.info(request, 'Email Taken') user = Transaction.objects.create_user(username=username, password=password1, email=email, first_name=first_name, last_name=last_name) user.save() messages.info(request, 'User Created') return redirect('/clerk') def model_form_upload(request): if request.method == 'POST': form = DocumentForm(request.POST, request.FILES) if form.is_valid(): form.save() return redirect('/clerk') def booking(request): username= request.POST['username'] dvdID= request.POST['dvdID'] DVD.objects.filter(id=dvdID).update(BookingPickup=username) return redirect('home') def checkout(request): dvdID= request.POST['dvdID'] numOfDays=request.POST['numDaysBooked'] dvdPrice=request.POST['dvdPrice'] bill=numOfDays*dvdPrice DVD.objects.filter(id=dvdID).update(NumDaysBooked=numOfDays,InStock=False) #users_ID #TransactionNumber #RentDate #DueDate #MovieTitle #Payment_Method #Amount trans = User.objects.create_user(users_ID=, TransactionNumber=, RentDate=, DueDate=, MovieTitle=, Payment_Method=,Amount=) trans.save() return render(request, 'clerk.html',{'bill':bill}) def checkoutProceed(request): dvdID= request.POST['dvdID'] numOfDays=request.POST['numDaysBooked'] DVD.objects.filter(id=dvdID).update(NumDaysBooked=numOfDays,InStock=False) return redirect('/clerk') def checkin(request): dvdID= request.POST['dvdID'] DVD.objects.filter(id=dvdID).update(BookingPickup='None',InStock=True,NumDaysBooked=0) return redirect('home')

[ "uzairjoneswolf@gmail.com" ]

uzairjoneswolf@gmail.com

b32100a480b61370780b3e6aa401b2b07809dc8b

0ac4c32a29cfee6ffe18a85304bb8d61a774d9d0

/ShowTweetData.py

8159c415c0fac1661ebe8752c656795683b03e82

[]

no_license

neondude/TweetInfoExtractor

32d1c4d95874ef97dd9d4850076c72ab66ee4334

c15cf0f8ac904a71dd94b32144b66a52e3bf7837

refs/heads/master

2021-01-10T07:05:09.009297

2016-03-08T01:57:57

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py

#!/usr/bin/env python import sys import rfc822 import time import json from sqlite3 import connect from urllib import urlopen, urlencode from tweetconnect import * from auth_and_Secret import TweetOuth c = None tweet_id = None def load_tweets(**kwargs): args = dict(trim_user=1) args.update(**kwargs) url = 'https://api.twitter.com/1.1/statuses/show.json?' + urlencode(args) user_timeline = TweetOuth.tweet_req(url) tweet=json.loads(user_timeline) if type(tweet) == dict and tweet.has_key(u'errors'): raise Exception(tweet[u'errors']) print "text: ",tweet[u'text'] print "hashtags: " for twit in range(len(tweet['entities']['hashtags'])): print tweet['entities']['hashtags'][twit][u'text'] print "references: " for twit in range(len(tweet['entities']['user_mentions'])): print tweet['entities']['user_mentions'][twit][u'screen_name'] print "Favorite Count: ", tweet['favorite_count'] print "Retweet Count: ", tweet['retweet_count'] def print_help(args): print >>sys.stderr, ''' Usage: %s <tweet_id> show data of tweet ''' % args[0] def main(*args): global c, tweet_id if len(args) != 2: print_help(args) else: tweet_id=args[1] load_tweets(id=tweet_id) if __name__ == '__main__': main(*sys.argv)

[ "siddharth.nagrajann@gmail.com" ]

siddharth.nagrajann@gmail.com

9859269d8fba660b528d9985ec913e031aa96775

ab3d5ea4bf0e48914ed14fcf16e5b1d752f199ba

/pcg_libraries/src/pcg_gazebo/parsers/sdf/stiffness.py

e542a13796da4c2fcd0890a4bfb85285f9bbdecf

[ "Apache-2.0", "LicenseRef-scancode-unknown-license-reference", "CC0-1.0", "MIT", "BSD-3-Clause", "LicenseRef-scancode-public-domain" ]

permissive

boschresearch/pcg_gazebo_pkgs

5f1004d0de874d4d1abc4eb695777013027158b2

1c112d01847ca4f8da61ce9b273e13d13bc7eb73

refs/heads/master

2020-06-11T06:28:36.228431

2020-02-07T13:05:28

193,876,180

44

3

NOASSERTION

2020-02-07T12:00:55

2019-06-26T09:45:05

Python

UTF-8

Python

false

970

py

# Copyright (c) 2019 - The Procedural Generation for Gazebo authors # For information on the respective copyright owner see the NOTICE file # # 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 ..types import XMLScalar class Stiffness(XMLScalar): _NAME = 'stiffness' _TYPE = 'sdf' def __init__(self, default=1e8): XMLScalar.__init__(self, default) def _set_value(self, value): assert value > 0 XMLScalar._set_value(self, value)

[ "Musa.Marcusso@de.bosch.com" ]

Musa.Marcusso@de.bosch.com

9d06d08ee4d60841884a62b2cda2fcf89dfc02d6

a4a8bbec98320a09ecaf33e26278bbc228aa5efc

/timer_start.py

d8b8d5e5b74bad30f8ddf4f526128b809d515618

[]

no_license

ird87/biosynthesis-timer

f78990fb3729d0c8622fee2dc35339d12978dedf

7d98b7532547c56f4fff8f3ab1f6f36eb9fa31a5

refs/heads/master

2020-12-20T13:09:12.429825

2020-01-24T21:17:01

236,086,131

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null

UTF-8

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py

#! /usr/bin/env python # -*- coding: utf-8 -*- import PyQt5 from PyQt5.QtCore import Qt from PyQt5.QtWidgets import QWidget, QDesktopWidget, QApplication from timer import Ui_wBiosynthesisTimer import sys from conf import Configure from process import TimerMode, ValveStatus, Process class TimerWindow(PyQt5.QtWidgets.QMainWindow): progressbar_change = PyQt5.QtCore.pyqtSignal(int) progressbar_set = PyQt5.QtCore.pyqtSignal(int) valve_status_set = PyQt5.QtCore.pyqtSignal(ValveStatus) time_change = PyQt5.QtCore.pyqtSignal(str) def __init__(self): super(TimerWindow, self).__init__() self.ui = Ui_wBiosynthesisTimer() self.ui.setupUi(self) self.setFixedSize(360, 260) self.center() self.setWindowFlags( Qt.Window | Qt.CustomizeWindowHint | Qt.WindowTitleHint | Qt.WindowCloseButtonHint | Qt.WindowStaysOnTopHint | Qt.WindowMinimizeButtonHint ) self.conf=Configure() try: from gpio import GPIO self.test_environment = False except (ImportError, RuntimeError): from gpio_test import GPIO self.test_environment = True print('TestModeON') self.gpio=GPIO([self.conf.port]) self.process=Process(self) self.mode=TimerMode.ManualMode self.status=ValveStatus.ValveOpen # По-умолчанию скрываем группу с автоматическим режимом управления self.ui.gbManualMode.setVisible(False) self.ui.lblManualTimer.setVisible(False) # Назначим команды кнопкам self.ui.btnAutoStart.clicked.connect(self.auto_mode_start) self.ui.btnAutoStop.clicked.connect(self.auto_mode_stop) self.ui.btnManualStart.clicked.connect(self.manual_mode_start) self.ui.btnManualStop.clicked.connect(self.manual_mode_stop) self.ui.cmbCurrentMode.currentIndexChanged.connect(self.current_mode_changed) self.progressbar_change.connect(self.change_progressbar, PyQt5.QtCore.Qt.QueuedConnection) self.progressbar_set.connect(self.set_progressbar, PyQt5.QtCore.Qt.QueuedConnection) self.valve_status_set.connect(self.set_status, PyQt5.QtCore.Qt.QueuedConnection) self.time_change.connect(self.change_time, PyQt5.QtCore.Qt.QueuedConnection) def center(self): # geometry of the main window qr = self.frameGeometry() # center point of screen cp = QDesktopWidget().availableGeometry().center() # move rectangle's center point to screen's center point qr.moveCenter(cp) # top left of rectangle becomes top left of window centering it self.move(qr.topLeft()) def current_mode_changed(self): # Включаем ручной режим: выключаем автоматический / меняем видимую группу в ui / Устанавливаем режим if self.ui.cmbCurrentMode.currentIndex()==0: self.auto_mode_stop() self.ui.gbAutoMode.setVisible(False) self.ui.gbManualMode.setVisible(True) self.set_mode(TimerMode.ManualMode) # Включаем автоматический режим: выключаем ручной / меняем видимую группу в ui / Устанавливаем режим if self.ui.cmbCurrentMode.currentIndex()==1: self.manual_mode_stop() self.ui.gbAutoMode.setVisible(True) self.ui.gbManualMode.setVisible(False) self.set_mode(TimerMode.AutoMode) def auto_mode_start(self): self.process.start() def auto_mode_stop(self): self.process.process_break() def manual_mode_start(self): self.set_status(ValveStatus.ValveClose) self.gpio.port_on(self.conf.port) def manual_mode_stop(self): self.set_status(ValveStatus.ValveOpen) self.gpio.port_off(self.conf.port) def set_mode(self, mode): self.mode=mode self.set_status(ValveStatus.ValveOpen) def set_status(self, status): self.status=status if self.status == ValveStatus.ValveOpen: self.ui.txtCurrentStatus.setText('клапан открыт') if self.status == ValveStatus.ValveClose: self.ui.txtCurrentStatus.setText('клапан закрыт') def set_progressbar(self, maximum): self.ui.pbrProgressBar.setValue(0) self.ui.pbrProgressBar.setMaximum(maximum) def change_time(self, t): self.ui.lblTimer.setText(t) def change_progressbar(self, t): if self.ui.pbrProgressBar.value() < self.ui.pbrProgressBar.maximum(): self.ui.pbrProgressBar.setValue(self.ui.pbrProgressBar.value() + t) def closeEvent(self, event): self.set_status(ValveStatus.ValveOpen) self.gpio.port_off(self.conf.port) def main(): app = PyQt5.QtWidgets.QApplication(sys.argv) # Новый экземпляр QApplication window = TimerWindow() # Создаём объект класса Main window.show() # Показываем окно app.exec_() if __name__ == '__main__': # Если мы запускаем файл напрямую, а не импортируем main() # то запускаем функцию main()

[ "ird87.post.ru@gmail.com" ]

ird87.post.ru@gmail.com

437eaf6e18296f938461bc6c976833dfc6d431ab

6c72880df5cd3b105d0e2a9024d67ad7f0000bf9

/day5.py

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[]

no_license

cheesepuff90/code-kata

6d2f5b6de2989ee74054afab42d4a99dca6a90ce

df49df041ba0741ebafbb4b59f6797afec1c7c69

refs/heads/main

2023-08-14T19:29:36.788791

2021-10-06T01:57:53

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def get_prefix(strs): ans = '' if len(strs) == 0: return '' strs = sorted(strs) for idx,i in enumerate(strs[0]): if i == strs[-1][idx]: ans += i else: break return ans # strs은 단어가 담긴 배열입니다. # 공통된 시작 단어(prefix)를 반환해주세요. # 예를 들어 # strs = ['start', 'stair', 'step'] # return은 'st' # strs = ['start', 'wework', 'today'] # return은 ''

[ "kimdh1004yo@gmail.com" ]

kimdh1004yo@gmail.com

21cbfa5ebdcf652d23f9830273248d00894b0745

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/devel/lib/python2.7/dist-packages/service_demo/srv/__init__.py

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[]

no_license

A201124253/c_s_u

56adfab067edb179201faa858377c11baa19a59b

fc104e267eeee90e23c98ce3bac25143a9c3d5e7

refs/heads/master

2020-03-24T17:14:08.360088

2018-07-30T13:45:24

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null

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104

py

/home/fapsros/c_s_u/devel/.private/service_demo/lib/python2.7/dist-packages/service_demo/srv/__init__.py

[ "jimmy-lee_93.06@hotmail.com" ]

jimmy-lee_93.06@hotmail.com

20fa02a294482db1f1dcaa6f11277daf40316d68

ecd31d9ab634d6150a8f96b09e4b716e0273d8e6

/server/models/city_model.py

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[]

no_license

mtyiska/move-rate-recommeder

409debd0aeb995b275934772f831fe83945d2b32

4cc8e715f5c25372fb4a935d92c4f0532103b6c0

refs/heads/master

2020-03-09T00:50:31.041340

2018-04-07T05:19:33

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from db import db class CityModel(db.Model): __tablename__ = 'cities' id =db.Column(db.Integer, primary_key=True) cityname = db.Column(db.String(80)) rating = db.Column(db.Integer) user_id = db.Column(db.Integer, db.ForeignKey('users.id')) image = db.Column(db.String(80)) # user_id = db.Column(db.Integer) user = db.relationship('UserModel') def __init__(self, cityname, rating, user_id, image): self.cityname = cityname self.rating = rating self.user_id = user_id self.image = image def json(self): return {'city_id':self.id,'cityname': self.cityname, 'rating': self.rating, 'user_id': self.user_id, 'image':self.image} @classmethod def find_by_name(cls, cityname): return cls.query.filter_by(cityname=cityname).first() @classmethod def find_by_id(cls, _id): return cls.query.filter_by(id=_id).first() def save_to_db(self): db.session.add(self) db.session.commit() def delete_from_db(self): db.session.delete(self) db.session.commit()

[ "mtyiska@gmail.com" ]

mtyiska@gmail.com

152f5094d355552012d8c6c65694e2647845bc90

1556527f9077813490366d1fef284bc0ae1e02ba

/sdk/lusid/models/corporate_action_source.py

802af594affa766e4ab9e78cd627b1fcc7d80526

[ "MIT" ]

permissive

timbarrass/lusid-sdk-python-preview

a04ce8887c7001bd7ddf099027ab94c97d8fa400

9a54e98bf748d87469aa7c797607550fe65ba6ba

refs/heads/master

2020-08-03T20:02:37.282370

2019-09-30T10:51:19

null

0

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# coding: utf-8 """ LUSID API # Introduction This page documents the [LUSID APIs](https://api.lusid.com/swagger), which allows authorised clients to query and update their data within the LUSID platform. SDKs to interact with the LUSID APIs are available in the following languages : * [C#](https://github.com/finbourne/lusid-sdk-csharp) * [Java](https://github.com/finbourne/lusid-sdk-java) * [JavaScript](https://github.com/finbourne/lusid-sdk-js) * [Python](https://github.com/finbourne/lusid-sdk-python) # Data Model The LUSID API has a relatively lightweight but extremely powerful data model. One of the goals of LUSID was not to enforce on clients a single rigid data model but rather to provide a flexible foundation onto which clients can streamline their data. One of the primary tools to extend the data model is through using properties. Properties can be associated with amongst others: - * Transactions * Instruments * Portfolios The LUSID data model is exposed through the LUSID APIs. The APIs provide access to both business objects and the meta data used to configure the systems behaviours. The key business entities are: - * **Portfolios** A portfolio is the primary container for transactions and holdings. * **Derived Portfolios** Derived portfolios allow portfolios to be created based on other portfolios, by overriding or overlaying specific items * **Holdings** A holding is a position account for a instrument within a portfolio. Holdings can only be adjusted via transactions. * **Transactions** A Transaction is a source of transactions used to manipulate holdings. * **Corporate Actions** A corporate action is a market event which occurs to a instrument, for example a stock split * **Instruments** A instrument represents a currency, tradable instrument or OTC contract that is attached to a transaction and a holding. * **Properties** Several entities allow additional user defined properties to be associated with them. For example, a Portfolio manager may be associated with a portfolio Meta data includes: - * **Transaction Types** Transactions are booked with a specific transaction type. The types are client defined and are used to map the Transaction to a series of movements which update the portfolio holdings. * **Properties Types** Types of user defined properties used within the system. This section describes the data model that LUSID exposes via the APIs. ## Scope All data in LUSID is segregated at the client level. Entities in LUSID are identifiable by a unique code. Every entity lives within a logical data partition known as a Scope. Scope is an identity namespace allowing two entities with the same unique code to co-exist within individual address spaces. For example, prices for equities from different vendors may be uploaded into different scopes such as `client/vendor1` and `client/vendor2`. A portfolio may then be valued using either of the price sources by referencing the appropriate scope. LUSID Clients cannot access scopes of other clients. ## Schema A detailed description of the entities used by the API and parameters for endpoints which take a JSON document can be retrieved via the `schema` endpoint. ## Instruments LUSID has its own built-in instrument master which you can use to master your own instrument universe. Every instrument must be created with one or more unique market identifiers, such as [FIGI](https://openfigi.com/). For any non-listed instruments (eg OTCs), you can upload an instrument against a custom ID of your choosing. In addition, LUSID will allocate each instrument a unique 'LUSID instrument identifier'. The LUSID instrument identifier is what is used when uploading transactions, holdings, prices, etc. The API exposes an `instrument/lookup` endpoint which can be used to lookup these LUSID identifiers using their market identifiers. Cash can be referenced using the ISO currency code prefixed with \"`CCY_`\" e.g. `CCY_GBP` ## Instrument Prices (Analytics) Instrument prices are stored in LUSID's Analytics Store | Field|Type|Description | | ---|---|--- | | InstrumentUid|string|Unique instrument identifier | | Value|decimal|Value of the analytic, eg price | | Denomination|string|Underlying unit of the analytic, eg currency, EPS etc. | ## Instrument Data Instrument data can be uploaded to the system using the [Instrument Properties](#tag/InstrumentProperties) endpoint. | Field|Type|Description | | ---|---|--- | | Key|propertykey|The key of the property. This takes the format {domain}/{scope}/{code} e.g. 'Instrument/system/Name' or 'Transaction/strategy/quantsignal'. | | Value|string|The value of the property. | | EffectiveFrom|datetimeoffset|The effective datetime from which the property is valid. | ## Portfolios Portfolios are the top-level entity containers within LUSID, containing transactions, corporate actions and holdings. The transactions build up the portfolio holdings on which valuations, analytics profit & loss and risk can be calculated. Properties can be associated with Portfolios to add in additional model data. Portfolio properties can be changed over time as well. For example, to allow a Portfolio Manager to be linked with a Portfolio. Additionally, portfolios can be securitised and held by other portfolios, allowing LUSID to perform \"drill-through\" into underlying fund holdings ### Reference Portfolios Reference portfolios are portfolios that contain only weights, as opposed to transactions, and are designed to represent entities such as indices. ### Derived Portfolios LUSID also allows for a portfolio to be composed of another portfolio via derived portfolios. A derived portfolio can contain its own transactions and also inherits any transactions from its parent portfolio. Any changes made to the parent portfolio are automatically reflected in derived portfolio. Derived portfolios in conjunction with scopes are a powerful construct. For example, to do pre-trade what-if analysis, a derived portfolio could be created a new namespace linked to the underlying live (parent) portfolio. Analysis can then be undertaken on the derived portfolio without affecting the live portfolio. ### Portfolio Groups Portfolio groups allow the construction of a hierarchy from portfolios and groups. Portfolio operations on the group are executed on an aggregated set of portfolios in the hierarchy. For example: * Global Portfolios _(group)_ * APAC _(group)_ * Hong Kong _(portfolio)_ * Japan _(portfolio)_ * Europe _(group)_ * France _(portfolio)_ * Germany _(portfolio)_ * UK _(portfolio)_ In this example **Global Portfolios** is a group that consists of an aggregate of **Hong Kong**, **Japan**, **France**, **Germany** and **UK** portfolios. ### Movements Engine The Movements engine sits on top of the immutable event store and is used to manage the relationship between input trading actions and their associated portfolio holdings. The movements engine reads in the following entity types:- * Posting Transactions * Applying Corporate Actions * Holding Adjustments These are converted to one or more movements and used by the movements engine to calculate holdings. At the same time it also calculates running balances, and realised P&L. The outputs from the movements engine are holdings and transactions. ## Transactions A transaction represents an economic activity against a Portfolio. Transactions are processed according to a configuration. This will tell the LUSID engine how to interpret the transaction and correctly update the holdings. LUSID comes with a set of transaction types you can use out of the box, or you can configure your own set(s) of transactions. For more details see the [LUSID Getting Started Guide for transaction configuration.](https://support.lusid.com/configuring-transaction-types) | Field|Type|Description | | ---|---|--- | | TransactionId|string|The unique identifier for the transaction. | | Type|string|The type of the transaction e.g. 'Buy', 'Sell'. The transaction type should have been pre-configured via the System Configuration API endpoint. If it hasn't been pre-configured the transaction will still be updated or inserted however you will be unable to generate the resultant holdings for the portfolio that contains this transaction as LUSID does not know how to process it. | | InstrumentIdentifiers|map|A set of instrument identifiers to use to resolve the transaction to a unique instrument. | | TransactionDate|dateorcutlabel|The date of the transaction. | | SettlementDate|dateorcutlabel|The settlement date of the transaction. | | Units|decimal|The number of units transacted in the associated instrument. | | TransactionPrice|transactionprice|The price for each unit of the transacted instrument in the transaction currency. | | TotalConsideration|currencyandamount|The total value of the transaction in the settlement currency. | | ExchangeRate|decimal|The exchange rate between the transaction and settlement currency. For example if the transaction currency is in USD and the settlement currency is in GBP this this the USD/GBP rate. | | TransactionCurrency|currency|The transaction currency. | | Properties|map|Set of unique transaction properties and associated values to store with the transaction. Each property must be from the 'Transaction' domain. | | CounterpartyId|string|The identifier for the counterparty of the transaction. | | Source|string|The source of the transaction. This is used to look up the appropriate transaction group set in the transaction type configuration. | From these fields, the following values can be calculated * **Transaction value in Transaction currency**: TotalConsideration / ExchangeRate * **Transaction value in Portfolio currency**: Transaction value in Transaction currency * TradeToPortfolioRate ### Example Transactions #### A Common Purchase Example Three example transactions are shown in the table below. They represent a purchase of USD denominated IBM shares within a Sterling denominated portfolio. * The first two transactions are for separate buy and fx trades * Buying 500 IBM shares for $71,480.00 * A foreign exchange conversion to fund the IBM purchase. (Buy $71,480.00 for £54,846.60) * The third transaction is an alternate version of the above trades. Buying 500 IBM shares and settling directly in Sterling. | Column | Buy Trade | Fx Trade | Buy Trade with foreign Settlement | | ----- | ----- | ----- | ----- | | TransactionId | FBN00001 | FBN00002 | FBN00003 | | Type | Buy | FxBuy | Buy | | InstrumentIdentifiers | { \"figi\", \"BBG000BLNNH6\" } | { \"CCY\", \"CCY_USD\" } | { \"figi\", \"BBG000BLNNH6\" } | | TransactionDate | 2018-08-02 | 2018-08-02 | 2018-08-02 | | SettlementDate | 2018-08-06 | 2018-08-06 | 2018-08-06 | | Units | 500 | 71480 | 500 | | TransactionPrice | 142.96 | 1 | 142.96 | | TradeCurrency | USD | USD | USD | | ExchangeRate | 1 | 0.7673 | 0.7673 | | TotalConsideration.Amount | 71480.00 | 54846.60 | 54846.60 | | TotalConsideration.Currency | USD | GBP | GBP | | Trade/default/TradeToPortfolioRate&ast; | 0.7673 | 0.7673 | 0.7673 | [&ast; This is a property field] #### A Forward FX Example LUSID has a flexible transaction modelling system, and there are a number of different ways of modelling forward fx trades. The default LUSID transaction types are FwdFxBuy and FwdFxSell. Other types and behaviours can be configured as required. Using these transaction types, the holdings query will report two forward positions. One in each currency. Since an FX trade is an exchange of one currency for another, the following two 6 month forward transactions are equivalent: | Column | Forward 'Sell' Trade | Forward 'Buy' Trade | | ----- | ----- | ----- | | TransactionId | FBN00004 | FBN00005 | | Type | FwdFxSell | FwdFxBuy | | InstrumentIdentifiers | { \"CCY\", \"CCY_GBP\" } | { \"CCY\", \"CCY_USD\" } | | TransactionDate | 2018-08-02 | 2018-08-02 | | SettlementDate | 2019-02-06 | 2019-02-06 | | Units | 10000.00 | 13142.00 | | TransactionPrice |1 | 1 | | TradeCurrency | GBP | USD | | ExchangeRate | 1.3142 | 0.760919 | | TotalConsideration.Amount | 13142.00 | 10000.00 | | TotalConsideration.Currency | USD | GBP | | Trade/default/TradeToPortfolioRate | 1.0 | 0.760919 | ## Holdings A holding represents a position in a instrument or cash on a given date. | Field|Type|Description | | ---|---|--- | | InstrumentUid|string|The unqiue Lusid Instrument Id (LUID) of the instrument that the holding is in. | | SubHoldingKeys|map|The sub-holding properties which identify the holding. Each property will be from the 'Transaction' domain. These are configured when a transaction portfolio is created. | | Properties|map|The properties which have been requested to be decorated onto the holding. These will be from the 'Instrument' or 'Holding' domain. | | HoldingType|string|The type of the holding e.g. Position, Balance, CashCommitment, Receivable, ForwardFX etc. | | Units|decimal|The total number of units of the holding. | | SettledUnits|decimal|The total number of settled units of the holding. | | Cost|currencyandamount|The total cost of the holding in the transaction currency. | | CostPortfolioCcy|currencyandamount|The total cost of the holding in the portfolio currency. | | Transaction|transaction|The transaction associated with an unsettled holding. | ## Corporate Actions Corporate actions are represented within LUSID in terms of a set of instrument-specific 'transitions'. These transitions are used to specify the participants of the corporate action, and the effect that the corporate action will have on holdings in those participants. ### Corporate Action | Field|Type|Description | | ---|---|--- | | CorporateActionCode|code|The unique identifier of this corporate action | | Description|string| | | AnnouncementDate|datetimeoffset|The announcement date of the corporate action | | ExDate|datetimeoffset|The ex date of the corporate action | | RecordDate|datetimeoffset|The record date of the corporate action | | PaymentDate|datetimeoffset|The payment date of the corporate action | | Transitions|corporateactiontransition[]|The transitions that result from this corporate action | ### Transition | Field|Type|Description | | ---|---|--- | | InputTransition|corporateactiontransitioncomponent|Indicating the basis of the corporate action - which security and how many units | | OutputTransitions|corporateactiontransitioncomponent[]|What will be generated relative to the input transition | ### Example Corporate Action Transitions #### A Dividend Action Transition In this example, for each share of IBM, 0.20 units (or 20 pence) of GBP are generated. | Column | Input Transition | Output Transition | | ----- | ----- | ----- | | Instrument Identifiers | { \"figi\" : \"BBG000BLNNH6\" } | { \"ccy\" : \"CCY_GBP\" } | | Units Factor | 1 | 0.20 | | Cost Factor | 1 | 0 | #### A Split Action Transition In this example, for each share of IBM, we end up with 2 units (2 shares) of IBM, with total value unchanged. | Column | Input Transition | Output Transition | | ----- | ----- | ----- | | Instrument Identifiers | { \"figi\" : \"BBG000BLNNH6\" } | { \"figi\" : \"BBG000BLNNH6\" } | | Units Factor | 1 | 2 | | Cost Factor | 1 | 1 | #### A Spinoff Action Transition In this example, for each share of IBM, we end up with 1 unit (1 share) of IBM and 3 units (3 shares) of Celestica, with 85% of the value remaining on the IBM share, and 5% in each Celestica share (15% total). | Column | Input Transition | Output Transition 1 | Output Transition 2 | | ----- | ----- | ----- | ----- | | Instrument Identifiers | { \"figi\" : \"BBG000BLNNH6\" } | { \"figi\" : \"BBG000BLNNH6\" } | { \"figi\" : \"BBG000HBGRF3\" } | | Units Factor | 1 | 1 | 3 | | Cost Factor | 1 | 0.85 | 0.15 | ## Property Properties are key-value pairs that can be applied to any entity within a domain (where a domain is `trade`, `portfolio`, `security` etc). Properties must be defined before use with a `PropertyDefinition` and can then subsequently be added to entities. # Schemas The following headers are returned on all responses from LUSID | Name | Purpose | | --- | --- | | lusid-meta-duration | Duration of the request | | lusid-meta-success | Whether or not LUSID considered the request to be successful | | lusid-meta-requestId | The unique identifier for the request | | lusid-schema-url | Url of the schema for the data being returned | | lusid-property-schema-url | Url of the schema for any properties | # Error Codes | Code|Name|Description | | ---|---|--- | | <a name=\"102\">102</a>|VersionNotFound| | | <a name=\"104\">104</a>|InstrumentNotFound| | | <a name=\"105\">105</a>|PropertyNotFound| | | <a name=\"106\">106</a>|PortfolioRecursionDepth| | | <a name=\"108\">108</a>|GroupNotFound| | | <a name=\"109\">109</a>|PortfolioNotFound| | | <a name=\"110\">110</a>|PropertySchemaNotFound| | | <a name=\"111\">111</a>|PortfolioAncestryNotFound| | | <a name=\"112\">112</a>|PortfolioWithIdAlreadyExists| | | <a name=\"113\">113</a>|OrphanedPortfolio| | | <a name=\"119\">119</a>|MissingBaseClaims| | | <a name=\"121\">121</a>|PropertyNotDefined| | | <a name=\"122\">122</a>|CannotDeleteSystemProperty| | | <a name=\"123\">123</a>|CannotModifyImmutablePropertyField| | | <a name=\"124\">124</a>|PropertyAlreadyExists| | | <a name=\"125\">125</a>|InvalidPropertyLifeTime| | | <a name=\"127\">127</a>|CannotModifyDefaultDataType| | | <a name=\"128\">128</a>|GroupAlreadyExists| | | <a name=\"129\">129</a>|NoSuchDataType| | | <a name=\"132\">132</a>|ValidationError| | | <a name=\"133\">133</a>|LoopDetectedInGroupHierarchy| | | <a name=\"135\">135</a>|SubGroupAlreadyExists| | | <a name=\"138\">138</a>|PriceSourceNotFound| | | <a name=\"139\">139</a>|AnalyticStoreNotFound| | | <a name=\"141\">141</a>|AnalyticStoreAlreadyExists| | | <a name=\"143\">143</a>|ClientInstrumentAlreadyExists| | | <a name=\"144\">144</a>|DuplicateInParameterSet| | | <a name=\"147\">147</a>|ResultsNotFound| | | <a name=\"148\">148</a>|OrderFieldNotInResultSet| | | <a name=\"149\">149</a>|OperationFailed| | | <a name=\"150\">150</a>|ElasticSearchError| | | <a name=\"151\">151</a>|InvalidParameterValue| | | <a name=\"153\">153</a>|CommandProcessingFailure| | | <a name=\"154\">154</a>|EntityStateConstructionFailure| | | <a name=\"155\">155</a>|EntityTimelineDoesNotExist| | | <a name=\"156\">156</a>|EventPublishFailure| | | <a name=\"157\">157</a>|InvalidRequestFailure| | | <a name=\"158\">158</a>|EventPublishUnknown| | | <a name=\"159\">159</a>|EventQueryFailure| | | <a name=\"160\">160</a>|BlobDidNotExistFailure| | | <a name=\"162\">162</a>|SubSystemRequestFailure| | | <a name=\"163\">163</a>|SubSystemConfigurationFailure| | | <a name=\"165\">165</a>|FailedToDelete| | | <a name=\"166\">166</a>|UpsertClientInstrumentFailure| | | <a name=\"167\">167</a>|IllegalAsAtInterval| | | <a name=\"168\">168</a>|IllegalBitemporalQuery| | | <a name=\"169\">169</a>|InvalidAlternateId| | | <a name=\"170\">170</a>|CannotAddSourcePortfolioPropertyExplicitly| | | <a name=\"171\">171</a>|EntityAlreadyExistsInGroup| | | <a name=\"173\">173</a>|EntityWithIdAlreadyExists| | | <a name=\"174\">174</a>|DerivedPortfolioDetailsDoNotExist| | | <a name=\"176\">176</a>|PortfolioWithNameAlreadyExists| | | <a name=\"177\">177</a>|InvalidTransactions| | | <a name=\"178\">178</a>|ReferencePortfolioNotFound| | | <a name=\"179\">179</a>|DuplicateIdFailure| | | <a name=\"180\">180</a>|CommandRetrievalFailure| | | <a name=\"181\">181</a>|DataFilterApplicationFailure| | | <a name=\"182\">182</a>|SearchFailed| | | <a name=\"183\">183</a>|MovementsEngineConfigurationKeyFailure| | | <a name=\"184\">184</a>|FxRateSourceNotFound| | | <a name=\"185\">185</a>|AccrualSourceNotFound| | | <a name=\"186\">186</a>|AccessDenied| | | <a name=\"187\">187</a>|InvalidIdentityToken| | | <a name=\"188\">188</a>|InvalidRequestHeaders| | | <a name=\"189\">189</a>|PriceNotFound| | | <a name=\"190\">190</a>|InvalidSubHoldingKeysProvided| | | <a name=\"191\">191</a>|DuplicateSubHoldingKeysProvided| | | <a name=\"192\">192</a>|CutDefinitionNotFound| | | <a name=\"193\">193</a>|CutDefinitionInvalid| | | <a name=\"194\">194</a>|TimeVariantPropertyDeletionDateUnspecified| | | <a name=\"195\">195</a>|PerpetualPropertyDeletionDateSpecified| | | <a name=\"196\">196</a>|TimeVariantPropertyUpsertDateUnspecified| | | <a name=\"197\">197</a>|PerpetualPropertyUpsertDateSpecified| | | <a name=\"200\">200</a>|InvalidUnitForDataType| | | <a name=\"201\">201</a>|InvalidTypeForDataType| | | <a name=\"202\">202</a>|InvalidValueForDataType| | | <a name=\"203\">203</a>|UnitNotDefinedForDataType| | | <a name=\"204\">204</a>|UnitsNotSupportedOnDataType| | | <a name=\"205\">205</a>|CannotSpecifyUnitsOnDataType| | | <a name=\"206\">206</a>|UnitSchemaInconsistentWithDataType| | | <a name=\"207\">207</a>|UnitDefinitionNotSpecified| | | <a name=\"208\">208</a>|DuplicateUnitDefinitionsSpecified| | | <a name=\"209\">209</a>|InvalidUnitsDefinition| | | <a name=\"210\">210</a>|InvalidInstrumentIdentifierUnit| | | <a name=\"211\">211</a>|HoldingsAdjustmentDoesNotExist| | | <a name=\"212\">212</a>|CouldNotBuildExcelUrl| | | <a name=\"213\">213</a>|CouldNotGetExcelVersion| | | <a name=\"214\">214</a>|InstrumentByCodeNotFound| | | <a name=\"215\">215</a>|EntitySchemaDoesNotExist| | | <a name=\"216\">216</a>|FeatureNotSupportedOnPortfolioType| | | <a name=\"217\">217</a>|QuoteNotFoundFailure| | | <a name=\"218\">218</a>|InvalidQuoteIdentifierFailure| | | <a name=\"219\">219</a>|InvalidInstrumentDefinition| | | <a name=\"221\">221</a>|InstrumentUpsertFailure| | | <a name=\"222\">222</a>|ReferencePortfolioRequestNotSupported| | | <a name=\"223\">223</a>|TransactionPortfolioRequestNotSupported| | | <a name=\"224\">224</a>|InvalidPropertyValueAssignment| | | <a name=\"230\">230</a>|TransactionTypeNotFound| | | <a name=\"231\">231</a>|TransactionTypeDuplication| | | <a name=\"232\">232</a>|PortfolioDoesNotExistAtGivenDate| | | <a name=\"233\">233</a>|QueryParserFailure| | | <a name=\"234\">234</a>|DuplicateConstituentFailure| | | <a name=\"235\">235</a>|UnresolvedInstrumentConstituentFailure| | | <a name=\"236\">236</a>|UnresolvedInstrumentInTransitionFailure| | | <a name=\"300\">300</a>|MissingRecipeFailure| | | <a name=\"301\">301</a>|DependenciesFailure| | | <a name=\"304\">304</a>|PortfolioPreprocessFailure| | | <a name=\"310\">310</a>|ValuationEngineFailure| | | <a name=\"311\">311</a>|TaskFactoryFailure| | | <a name=\"312\">312</a>|TaskEvaluationFailure| | | <a name=\"350\">350</a>|InstrumentFailure| | | <a name=\"351\">351</a>|CashFlowsFailure| | | <a name=\"360\">360</a>|AggregationFailure| | | <a name=\"370\">370</a>|ResultRetrievalFailure| | | <a name=\"371\">371</a>|ResultProcessingFailure| | | <a name=\"371\">371</a>|ResultProcessingFailure| | | <a name=\"372\">372</a>|VendorResultProcessingFailure| | | <a name=\"373\">373</a>|VendorResultMappingFailure| | | <a name=\"374\">374</a>|VendorLibraryUnauthorisedFailure| | | <a name=\"390\">390</a>|AttemptToUpsertDuplicateQuotes| | | <a name=\"391\">391</a>|CorporateActionSourceDoesNotExist| | | <a name=\"392\">392</a>|CorporateActionSourceAlreadyExists| | | <a name=\"393\">393</a>|InstrumentIdentifierAlreadyInUse| | | <a name=\"394\">394</a>|PropertiesNotFound| | | <a name=\"395\">395</a>|BatchOperationAborted| | | <a name=\"400\">400</a>|InvalidIso4217CurrencyCodeFailure| | | <a name=\"410\">410</a>|IndexDoesNotExist| | | <a name=\"411\">411</a>|SortFieldDoesNotExist| | | <a name=\"413\">413</a>|NegativePaginationParameters| | | <a name=\"414\">414</a>|InvalidSearchSyntax| | | <a name=\"-10\">-10</a>|ServerConfigurationError| | | <a name=\"-1\">-1</a>|Unknown error| | # noqa: E501 The version of the OpenAPI document: 0.10.739 Contact: info@finbourne.com Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six class CorporateActionSource(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ openapi_types = { 'href': 'str', 'id': 'ResourceId', 'version': 'Version', 'display_name': 'str', 'description': 'str', 'links': 'list[Link]' } attribute_map = { 'href': 'href', 'id': 'id', 'version': 'version', 'display_name': 'displayName', 'description': 'description', 'links': 'links' } def __init__(self, href=None, id=None, version=None, display_name=None, description=None, links=None): # noqa: E501 """CorporateActionSource - a model defined in OpenAPI""" # noqa: E501 self._href = None self._id = None self._version = None self._display_name = None self._description = None self._links = None self.discriminator = None if href is not None: self.href = href self.id = id self.version = version if display_name is not None: self.display_name = display_name if description is not None: self.description = description if links is not None: self.links = links @property def href(self): """Gets the href of this CorporateActionSource. # noqa: E501 :return: The href of this CorporateActionSource. # noqa: E501 :rtype: str """ return self._href @href.setter def href(self, href): """Sets the href of this CorporateActionSource. :param href: The href of this CorporateActionSource. # noqa: E501 :type: str """ self._href = href @property def id(self): """Gets the id of this CorporateActionSource. # noqa: E501 :return: The id of this CorporateActionSource. # noqa: E501 :rtype: ResourceId """ return self._id @id.setter def id(self, id): """Sets the id of this CorporateActionSource. :param id: The id of this CorporateActionSource. # noqa: E501 :type: ResourceId """ if id is None: raise ValueError("Invalid value for `id`, must not be `None`") # noqa: E501 self._id = id @property def version(self): """Gets the version of this CorporateActionSource. # noqa: E501 :return: The version of this CorporateActionSource. # noqa: E501 :rtype: Version """ return self._version @version.setter def version(self, version): """Sets the version of this CorporateActionSource. :param version: The version of this CorporateActionSource. # noqa: E501 :type: Version """ if version is None: raise ValueError("Invalid value for `version`, must not be `None`") # noqa: E501 self._version = version @property def display_name(self): """Gets the display_name of this CorporateActionSource. # noqa: E501 :return: The display_name of this CorporateActionSource. # noqa: E501 :rtype: str """ return self._display_name @display_name.setter def display_name(self, display_name): """Sets the display_name of this CorporateActionSource. :param display_name: The display_name of this CorporateActionSource. # noqa: E501 :type: str """ self._display_name = display_name @property def description(self): """Gets the description of this CorporateActionSource. # noqa: E501 :return: The description of this CorporateActionSource. # noqa: E501 :rtype: str """ return self._description @description.setter def description(self, description): """Sets the description of this CorporateActionSource. :param description: The description of this CorporateActionSource. # noqa: E501 :type: str """ self._description = description @property def links(self): """Gets the links of this CorporateActionSource. # noqa: E501 :return: The links of this CorporateActionSource. # noqa: E501 :rtype: list[Link] """ return self._links @links.setter def links(self, links): """Sets the links of this CorporateActionSource. :param links: The links of this CorporateActionSource. # noqa: E501 :type: list[Link] """ self._links = links def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, CorporateActionSource): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

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concourse@finbourne.com

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import os import sys import argparse import copy import numpy as np import scipy.special import torch sys.path.append(os.getcwd()) def log_gaussian_pdf(theta, sigma=1, mu=0, ndim=None): if ndim is None: try: ndim = len(theta) except TypeError: assert isinstance(theta, (float, int)), theta ndim = 1 logl = -(np.sum((theta - mu) ** 2) / (2 * sigma ** 2)) logl -= np.log(2 * np.pi * (sigma ** 2)) * ndim / 2.0 return logl class Gaussian(object): def __init__(self, sigma=1.0, nderived=0): self.sigma = sigma self.nderived = nderived def __call__(self, theta): logl = log_gaussian_pdf(theta, sigma=self.sigma, mu=0) return logl, [0.0] * self.nderived class GaussianMix(object): def __init__(self, sep=4, weights=(0.4, 0.3, 0.2, 0.1), sigma=1, nderived=0): assert len(weights) in [2, 3, 4], ('Weights must have 2, 3 or 4 components. Weights=' + str(weights)) assert np.isclose(sum(weights), 1), ('Weights must sum to 1! Weights=' + str(weights)) self.nderived = nderived self.weights = weights self.sigmas = [sigma] * len(weights) positions = [] positions.append(np.asarray([0, sep])) positions.append(np.asarray([0, -sep])) positions.append(np.asarray([sep, 0])) positions.append(np.asarray([-sep, 0])) self.positions = positions[:len(weights)] def __call__(self, theta): thetas = [] for pos in self.positions: thetas.append(copy.deepcopy(theta)) thetas[-1][:2] -= pos logls = [(Gaussian(sigma=self.sigmas[i])(thetas[i])[0] + np.log(self.weights[i])) for i in range(len(self.weights))] logl = scipy.special.logsumexp(logls) return logl, [0.0] * self.nderived def main(args): from nnest import NestedSampler from nnest.distributions import GeneralisedNormal g = GaussianMix() def loglike(z): return np.array([g(x)[0] for x in z]) def transform(x): return 10. * x if args.base_dist == 'gen_normal': base_dist = GeneralisedNormal(torch.zeros(args.x_dim), torch.ones(args.x_dim), torch.tensor(args.beta)) else: base_dist = None sampler = NestedSampler(args.x_dim, loglike, transform=transform, log_dir=args.log_dir, num_live_points=args.num_live_points, hidden_dim=args.hidden_dim, num_layers=args.num_layers, num_blocks=args.num_blocks, num_slow=args.num_slow, use_gpu=args.use_gpu, base_dist=base_dist, scale=args.scale) sampler.run(train_iters=args.train_iters, mcmc_steps=args.mcmc_steps, volume_switch=args.switch, noise=args.noise) if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--x_dim', type=int, default=5, help="Dimensionality") parser.add_argument('--train_iters', type=int, default=2000, help="number of train iters") parser.add_argument("--mcmc_steps", type=int, default=0) parser.add_argument("--num_live_points", type=int, default=1000) parser.add_argument('--switch', type=float, default=-1) parser.add_argument('--hidden_dim', type=int, default=128) parser.add_argument('--num_layers', type=int, default=2) parser.add_argument('--batch_size', type=int, default=100) parser.add_argument('-use_gpu', action='store_true') parser.add_argument('--flow', type=str, default='nvp') parser.add_argument('--num_blocks', type=int, default=5) parser.add_argument('--noise', type=float, default=-1) parser.add_argument("--test_samples", type=int, default=0) parser.add_argument('--run_num', type=str, default='') parser.add_argument('--num_slow', type=int, default=0) parser.add_argument('--log_dir', type=str, default='logs/mog4') parser.add_argument('--base_dist', type=str, default='') parser.add_argument('--scale', type=str, default='constant') parser.add_argument('--beta', type=float, default=8.0) args = parser.parse_args() main(args) print('Expected log Z: %5.4f' % (args.x_dim * np.log(20)))

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2021-10-11T10:49:08.165407

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############################################################################# #Replace with the persons name that you were texting leftName = "Bob" #Replace with your name rightName = "John" #############################################################################

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imran-ice.noreply@github.com

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/portafolios.py

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danilhramon/simulacion-Poryecto2

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from pandas.io.data import DataReader from datetime import datetime import matplotlib.pyplot as plt import numpy as np #"act1 = DataReader("GENTERA.MX", "yahoo", datetime(2015,1,1), datetime(2016,1,1)) #"act1=np.log(act1["Adj Close"]) #"act2 = DataReader("GFNORTEO.MX", "yahoo", datetime(2015,1,1), datetime(2016,1,1)) #"act2=np.log(act2["Adj Close"]) #"act3 = DataReader("GFREGIOO.MX", "yahoo", datetime(2015,1,1), datetime(2016,1,1)) #"act3=np.log(act3["Adj Close"]) #"act4 = DataReader("GRUMAB.MX", "yahoo", datetime(2015,1,1), datetime(2016,1,1)) #"act4=np.log(act4["Adj Close"]) #"act5 = DataReader("GSANBORB-1.MX", "yahoo", datetime(2015,1,1), datetime(2016,1,1)) #"act5=np.log(act5["Adj Close"]) #"activos=act1,act2,act3,act4,act5 #"activos=np.diff(activos,axis=1) #"mean=np.mean(activos,axis=1) #"cov=np.cov(activos) mean=0.0002456,0.00023456 cov=[[0.000032,0.0000158619040471187],[0.0000158619040471187,0.00003145]] def portafolios(mean,cov,numerPorta): #generador de posibles portafolios. entrega las medias y las varianzas de los posibles portafolios #vector de las medias de los activos del portafolio de sus ren ln #matriz de varianzas y covarianzas de los rendimentos ln del portafolio #numero de portafolios que se desea generar numerPorta=10000 Zt=np.random.uniform(size=(numerPorta,2)) l=np.sum(Zt,axis=1) for i in range(1,numerPorta): Zt[i,]=Zt[i,]/l[i] Zt=np.asmatrix(Zt) mean=np.asmatrix(mean) cov=np.asmatrix(cov) portmean=Zt*mean.T portvar=np.diag(np.sqrt(Zt*cov*Zt.T)) x,y=portvar,portmean return(x,y) ll = plt.plot(x,y,'bo') plt.axis([0.0045, .006, 0.00023, .00025]) plt.xlabel('Desviación') plt.ylabel('Rendimiento') plt.title('Nuve de portafolios') plt.show()

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danielhramon@hotmail.com

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hhaoyan/api

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from mp_api.routes.robocrys.query_operators import RoboTextSearchQuery from monty.tempfile import ScratchDir from monty.serialization import loadfn, dumpfn def test_robocrys_search_query(): op = RoboTextSearchQuery() pipeline = [ { "$search": { "index": "description", "regex": { "query": ["cubic", "octahedra"], "path": "description", "allowAnalyzedField": True, }, } }, { "$facet": { "total_doc": [{"$count": "count"}], "results": [ { "$project": { "_id": 0, "task_id": 1, "description": 1, "condensed_structure": 1, "last_updates": 1, "search_score": {"$meta": "searchScore"}, } } ], } }, {"$unwind": "$results"}, {"$unwind": "$total_doc"}, { "$replaceRoot": { "newRoot": { "$mergeObjects": ["$results", {"total_doc": "$total_doc.count"}] } } }, {"$sort": {"search_score": -1}}, {"$skip": 0}, {"$limit": 10}, ] assert op.query(keywords="cubic, octahedra", skip=0, limit=10) == { "pipeline": pipeline } with ScratchDir("."): dumpfn(op, "temp.json") new_op = loadfn("temp.json") assert new_op.query(keywords="cubic, octahedra", skip=0, limit=10) == { "pipeline": pipeline } assert op.post_process([{"total_doc": 10}]) == [{"total_doc": 10}] assert op.meta() == {"total_doc": 10}

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siengsotheara/findmepitch

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from flask import Flask, redirect, url_for, session, request from flask_oauth import OAuth import requests import os import sys SECRET_KEY = 'development key' DEBUG = False FACEBOOK_APP_ID = '159985207843693' FACEBOOK_APP_SECRET = '7b111fdeb43cf6889725a849013d387c' app = Flask(__name__) app.debug = DEBUG app.secret_key = SECRET_KEY oauth = OAuth() facebook = oauth.remote_app('facebook', base_url='https://graph.facebook.com/', request_token_url=None, access_token_url='/oauth/access_token', authorize_url='https://www.facebook.com/dialog/oauth', consumer_key=FACEBOOK_APP_ID, consumer_secret=FACEBOOK_APP_SECRET, request_token_params={'scope': 'email'} ) @app.route('/') def index(): return 'Welcome to FindMePitch' @app.route('/login') def login(): return facebook.authorize(callback=url_for('facebook_authorized', next=request.args.get('next') or request.referrer or None, _external=True)) @app.route('/login/authorized') @facebook.authorized_handler def facebook_authorized(resp): if resp is None: return 'Access denied: reason=%s error=%s' % ( request.args['error_reason'], request.args['error_description'] ) #print (resp['access_token'], '') session['oauth_token'] = (resp['access_token'], '') me = facebook.get('/me?fields=id,name,email') return 'Logged in as id=%s name=%s email=%s redirect=%s' % \ (me.data['id'], me.data['name'], me.data['email'], request.args.get('next')) @facebook.tokengetter def get_facebook_oauth_token(): return session.get('oauth_token') if __name__ == '__main__': port = int(os.environ.get("PORT", 5000)) app.run('0.0.0.0', port=port)

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no_license

iamavailable/uber_rides

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import numpy as np from flask import Flask, request, jsonify, render_template import pickle import math app = Flask(__name__) model = pickle.load(open('taxi.pkl','rb')) @app.route('/') def home(): return render_template('index.html') @app.route('/predict', methods=['POST']) def predict(): int_features = [int(x) for x in request.form.values()] final_features = [np.array(int_features)] prediction = model.predict(final_features) output = round(prediction[0],2) return render_template('index.html', prediction_text = "Number of Weekly Rides Should be {}".format(math.floor(output))) if __name__ == '__main__': app.run(debug=True)

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/Server/db_firestore_admin.py

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dharamk/daas

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refs/heads/master

2022-03-06T01:41:55.875501

2019-10-15T02:06:19

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#!/bin/python3 #!/bin/python3 import firebase_admin from firebase_admin import auth from firebase_admin import credentials from firebase_admin import firestore import db_interface FIRESTORE_DB_TEST_AGENTS_COLLECTION = "testing_agents" FIRESTORE_DB_PRODUCTION_AGENTS_COLLECTION = "production_agents" FIRESTORE_DB_ALL_AGENTS_MAIN_DOC = "all_agents" FIRESTORE_DB_ALL_AGENTS_INFO_DOC = "all_agents_info" FIRESTORE_DB_ALL_AGENTS_SECURITY_DOC = "all_agents_secure_data" FIRESTORE_DB_ONLINE_AGENTS_DOC = "online_agents" FIRESTORE_DB_ONLINE_AGENTS_DATA_COLL = 'data' FIRESTORE_DB_ALL_DEVICES_MAIN_DOC = "devices" DEFAULT_SERVICE_ACCOUNT_JSON_NAME = "db_firebase_admin.json" # Schema of document 'all_agents' # { # "metadata" : { # "count": 500, # "agent_ids":[] # }, # } ALL_AGENTS_MAIN_METADATA_KEY = 'metadata' ALL_AGENTS_MAIN_AGENT_IDS = 'metadata.agent_ids' ALL_AGENTS_MAIN_AGENT_COUNT = 'metadata.count' ALL_AGENTS_SECURITY_SCHEME = 'security_scheme' ALL_AGENTS_SECURITY_PRIV_KEY_ID = 'private_key_id' ALL_AGENTS_SECURITY_PRIV_KEY = 'private_key' ALL_AGENTS_INFO_AGENT_NAME = 'name' ALL_AGENTS_INFO_AGENT_OWNER_ID = 'owner_id' ALL_AGENTS_INFO_AGENT_CREATION_TIMESTAMP = 'created_at' ALL_AGENTS_INFO_AGENT_SHARED_BY_USERS = "is_shared" ONLINE_AGENTS_METADATA_KEY = 'metadata' ONLINE_AGENTS_AGENT_COUNT = 'metadata.count' ONLINE_AGENTS_AGENT_IDS = 'metadata.agent_ids' ONLINE_AGENTS_DATA_AGENT_IP_ADDR = 'ip_address' ONLINE_AGENTS_DATA_AGENT_PORT = 'port' class FirestoreAdminClient(db_interface.AbstractDbClient): def __init__(self, server_obj, root_collection=None, use_test=True): """ initialize and set-up the database client """ self.server = server_obj if root_collection: self.root_collection = root_collection elif not use_test: raise ValueError else: self.root_collection = FIRESTORE_DB_TEST_AGENTS_COLLECTION from pathlib import Path self.admin_creds = credentials.Certificate( str(Path.cwd() / DEFAULT_SERVICE_ACCOUNT_JSON_NAME)) self.admin_app = firebase_admin.initialize_app(self.admin_creds) self.client = firestore.client() self.root_collection_ref = self.client.collection(self.root_collection) self.all_agents = self.root_collection_ref.document( FIRESTORE_DB_ALL_AGENTS_MAIN_DOC) self.online_agents = self.root_collection_ref.document( FIRESTORE_DB_ONLINE_AGENTS_DOC) self.online_agents_data = self.online_agents.collection( FIRESTORE_DB_ONLINE_AGENTS_DATA_COLL) # self.online_agents_data = self.client.collection( # self.root_collection, FIRESTORE_DB_ONLINE_AGENTS_DOC, FIRESTORE_DB_ONLINE_AGENTS_DATA_COLL) self.all_agents_info = self.root_collection_ref.document( FIRESTORE_DB_ALL_AGENTS_INFO_DOC) # self.root_collection_ref.document.document(FIRESTORE_DB_ALL_AGENTS_SECURITY_DOC) self.all_agents_security = self.root_collection_ref.document( FIRESTORE_DB_ALL_AGENTS_SECURITY_DOC) def _is_agent_id_in_use(self, aid): """ Checks if given Agent-id has already been registered(onboarded) with the Server. Args: aid (str): Agent unique id Returns: Boolean : True if the agent-id is already registered with Server else return False """ if not self.all_agents: raise AttributeError if not aid: raise ValueError doc = self.all_agents array_agent_ids = doc.get([ALL_AGENTS_MAIN_AGENT_IDS]).get( ALL_AGENTS_MAIN_AGENT_IDS) if array_agent_ids and aid in array_agent_ids: return True return False def _add_agent_main(self, aid): if not aid or not self.all_agents: raise ValueError doc = self.all_agents t = {} t['count'] = 1 t['agent_ids'] = [aid] snapshot = doc.get().to_dict() if not snapshot: doc.set({ALL_AGENTS_MAIN_METADATA_KEY: t}) else: doc.update({ALL_AGENTS_MAIN_AGENT_COUNT: firestore.Increment(1)}) doc.update( {ALL_AGENTS_MAIN_AGENT_IDS: firestore.ArrayUnion([aid])}) def _add_agent_security(self, aid, security_options=None): if not aid or not self.all_agents_security: raise ValueError doc = self.all_agents_security # TODO: enhance this once we figure out what all schemes we've to use snapshot = doc.get() if not snapshot.to_dict(): doc.set({aid: {ALL_AGENTS_SECURITY_SCHEME: None}}) else: doc.update({aid: {ALL_AGENTS_SECURITY_SCHEME: None}}) def _delete_agent_main(self, aid): if not aid or not self.all_agents: raise ValueError doc = self.all_agents snapshot = doc.get() print(snapshot.to_dict()) if not snapshot.to_dict(): print("agent_main: Document empty. aid:{}".format(aid)) return array_ids = snapshot.get(ALL_AGENTS_MAIN_AGENT_IDS) print(array_ids) if array_ids and aid in array_ids: doc.update({ALL_AGENTS_MAIN_AGENT_COUNT: firestore.Increment(-1)}) doc.update( {ALL_AGENTS_MAIN_AGENT_IDS: firestore.ArrayRemove([aid])}) else: print("Agent-id not found") def _delete_agent_security(self, aid): if not aid or not self.all_agents_security: raise ValueError doc = self.all_agents_security snapshot = doc.get() print(snapshot.to_dict()) if not snapshot.to_dict(): print("agent_security: Document empty. aid:{}".format(aid)) return # agent_security = snapshot. # print(agent_security) doc.update({aid: firestore.DELETE_FIELD}) pass def _add_agent_info(self, aid, name, uid, is_shared=True): if not aid or not name or not uid: raise ValueError coll = self.all_agents_info.collection('data') agent_doc = coll.document(aid) t = {} t[ALL_AGENTS_INFO_AGENT_NAME] = name t[ALL_AGENTS_INFO_AGENT_CREATION_TIMESTAMP] = firestore.SERVER_TIMESTAMP t[ALL_AGENTS_INFO_AGENT_SHARED_BY_USERS] = is_shared t[ALL_AGENTS_INFO_AGENT_OWNER_ID] = uid # this method should reset the full document. # ideally this would be called once by the Server at very beginning. agent_doc.set(t) def _delete_agent_info(self, aid): if not aid: raise ValueError coll = self.all_agents_info.collection('data') agent_doc = coll.document(aid).delete() def _add_agent_connection(self, aid, ip_addr, port): if not aid: raise ValueError pdoc = self.online_agents psnapshot = pdoc.get() if not psnapshot.to_dict(): t = {} t['count'] = 0 t['agent_ids'] = [] print("yes-parent-doc is empty") pdoc.set({ONLINE_AGENTS_METADATA_KEY: t}) else: # do-nothing if a new agent-connection info is received # agent will update the 'connection-status' i.e. its live status # once the agent-service is online. This function is called # very first time the agent is created(and not ONLINE). # so these fields will be udpated in a different flow. pass ag = {} ag[ONLINE_AGENTS_DATA_AGENT_PORT] = port ag[ONLINE_AGENTS_DATA_AGENT_IP_ADDR] = ip_addr child_collection = self.online_agents_data doc = child_collection.document(aid) doc.set(ag) pass def _delete_agent_connection(self, aid): if not aid: raise ValueError parent_doc = self.online_agents p_snapshot = parent_doc.get() if p_snapshot.to_dict(): online_agents = p_snapshot.get(ONLINE_AGENTS_AGENT_IDS) if online_agents and aid in online_agents: parent_doc.update( {ONLINE_AGENTS_AGENT_IDS: firestore.ArrayRemove([aid])}) parent_doc.update( {ONLINE_AGENTS_AGENT_COUNT: firestore.Increment(-1)}) else: # do nothing if there is no live-information about this agent # with server. pass doc = self.online_agents_data.document(aid) snapshot = doc.get() print(snapshot.to_dict()) if not snapshot.to_dict(): # .document(aid) creates the document by default if it does not exist. # if it has been deleted in the past we have inadvertently created it # so just-delete it - i.e. no return from this if-check print("agent_connection: Document empty. aid:{}".format(aid)) self.online_agents_data.document(aid).delete() pass def _get_agent_by_name(self, name_args, owner_id='default'): if not name_args: return None full_name = None if isinstance(name_args, dict): # name_prefix = name_json['prefix'] # name_token = name_json['token'] full_name = name_args['name'] elif isinstance(name_args, str): full_name = name_args coll = self.all_agents_info.collection('data') docs = coll.where('name.name', '==', full_name).where( 'owner_id', '==', owner_id).stream() count = 0 t = None if docs: for doc in docs: if count == 1: # if we ever have two documents(agents) with same full-name # it would be a disaster - so report it. raise ValueError count += 1 # print(doc.get().to_dict()) t = dict() t["aid"] = doc.id return t def _get_agent_by_id(self): pass def _get_agent_by_uri(self, ip_addr, port): """ Gets the list of Agent(s) matching with given ip-address and port. There MUST be only one Agent with a given ip-address and port. If port is null - return all the agents(list of agent-ids) with given ip-address. """ if not ip_addr: raise ValueError coll = self.online_agents_data ip_docs = coll.where('ip_address', '==', ip_addr) if not ip_docs: return None t = None # if port is not given, just fetch a list of all # the agents with this IP-Address if not port: agents_list = list() for doc in ip_docs.stream(): agents_list.append(doc.id) t = dict() t['aid'] = agents_list return t port_docs = ip_docs.where('port', '==', port).stream() count = 0 if port: if port_docs: for doc in port_docs: if count == 1: # if we ever have two agents using same ip-address # and same port then raise an exception. raise ValueError count += 1 t = dict() t["aid"] = [doc.id] return t # Public Methods on Database class def create_new_agent(self, aid, name, owner_id='default', ip_addr=None, port=None): if not name or not aid: raise ValueError if self._is_agent_id_in_use(aid): print("hello- agent is already available") raise ValueError self._add_agent_main(aid) self._add_agent_security(aid) self._add_agent_info(aid, name, owner_id) self._add_agent_connection(aid, ip_addr, port) pass def delete_agent(self, aid): if not aid: raise ValueError self._delete_agent_main(aid) self._delete_agent_security(aid) self._delete_agent_info(aid) self._delete_agent_connection(aid) pass def connect(self): """ connects to Database Server """ pass def disconnect(self): """ disconnects to Database server """ pass def get_agent(self, **kargs): # 'name'=<some-agent-name> # 'aid'=<some-agent-id> # 'ip_address'=<some-ip-address> pass def get_agent_connection_info(self, agent_id): if not agent_id: raise ValueError agent_doc = self.online_agents_data.document(agent_id) snapshot = agent_doc.get(['ip_address', 'port']) return snapshot.to_dict() def has_agent_id(self, aid): return self._is_agent_id_in_use(aid) def has_agent_name(self, agent_name, owner_id='default'): if not agent_name: raise ValueError d = self._get_agent_by_name(agent_name, owner_id) if not d: print("agent by Name not found {}".format(agent_name)) return False return True def has_agent_ip_addr_and_port(self, ip_addr, port): if not ip_addr: raise ValueError d = self._get_agent_by_uri(ip_addr, port) if not d: return False return True def get_agent_by_ipaddr_and_port(self, ip_addr, port): if not ip_addr: raise ValueError d = self._get_agent_by_uri(ip_addr, port) return d def set_agent_ipaddr_port(self, aid, ip_addr, port): if not aid: raise ValueError agent_doc = self.online_agents_data.document(aid) agent_doc.update({ 'ip_address': ip_addr, 'port': port, }) def verify_token(self, token_id, current_user=None): if not token_id or not current_user: raise ValueError try: decoded_token = auth.verify_id_token(token_id, check_revoked=True) uid = decoded_token['uid'] if current_user: if uid is not current_user: raise ValueError('Token does not belong to User') except auth.RevokedIdTokenError: # Token revoked, inform the user to reauthenticate or signOut() # return status and whether it needs to sign-in again return (False, True) except auth.InvalidIdTokenError: # Token is invalid return {False, False} return (True, False) def update_device_status(self, device_id, device_dict=None, detected=False): pass def update_agent(self, agent_id, agent_dict): sub_coll = self.agents.collection(agent_dict["aid"]) doc = sub_coll.document(agent_dict["aid"]).set(agent_dict) pass def update_agent_fields(self, agent_id, **kwargs): if not agent_id: raise ValueError sub_coll = self.agents.collection(agent_id) doc = sub_coll.document(agent_id) for key, value in kwargs.items(): pass def find_agent_by_ip_address(self, ip_address, port): if not ip_address: raise ValueError all_agents = self.agents.collections().where('ip-address', '==', ip_address) pass def test_create_delete_agents(db): db.create_new_agent("12567", "agent-name-12567", "default", "192.168.1.15", 12121) db.create_new_agent("12568", "agent-name-12568", "default", "192.168.1.16", 12122) db.delete_agent("12569") # print(db._get_agent_by_name("agent-name-12568").to_dict()) t = db._get_agent_by_name("agent-name-12568") print("agent-details for id: {} => {}".format("agent-name-12568", t)) t = db._get_agent_by_name("agent-name-12569") print("agent-details for id: {} => {}".format("agent-name-12569", t)) t = db._get_agent_by_name("agent-name-12567") print("agent-details for id: {} => {}".format("agent-name-12567", t)) # db.delete_agent("12567") # db.delete_agent("12568") # db.delete_agent("12568") if __name__ == '__main__': agent_obj = 'dummy' db = FirestoreAdminClient( agent_obj, root_collection="foo_testing") db.create_new_agent( "asdfaksdfkasdf", "agent-name-asdfad12567", "default", "192.168.1.15", 12121) # test_create_delete_agents(db) # db.create_new_agent("12569", "agent-name-12569", "default", "192.168.1.17", 12121) # agent_dict = {"aid": "123456", # "name": "agent-dummy-name-1", "host": "ubuntu"} # gcp_db.update_agent(agent_dict["aid"], agent_dict) # agent_dict = {"aid": "123455", # "name": "agent-dummy-name-2", "host": "ubuntu"} # gcp_db.update_agent(agent_dict["aid"], agent_dict) # agent_dict = {"aid": "123458", # "name": "agent-dummy-name-3", "host": "ubuntu"} # gcp_db.update_agent(agent_dict["aid"], agent_dict)

[ "dharam.kumar.gupta@gmail.com" ]

dharam.kumar.gupta@gmail.com

010bbeb1cf60a81058716701fda29d14b538f0c1

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/controller/users.py

d00ac6fec9ba6b31f83d7faa0a48ad22fb07f7e1

[]

no_license

EmilieM71/Projet-5-startup-Pur-Beurre

dd6ab2267333521a439b1cc8fdd0e9fa64487449

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refs/heads/master

2021-07-19T09:18:35.434100

2019-10-22T10:05:05

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from view.view_home_connect import ViewHomeConnect class User: """ This class is responsible for : - display a hom window with welcome message and ask the user to log in """ def __init__(self): pass @staticmethod def open_home_connect_window(): """This feature allows the home window to be displayed""" # Opening the home connect window view_home_connect = ViewHomeConnect() view_home_connect.window.mainloop() def log_in(self): # ouverture fenetre avec formulaire pour se connecter # rechercher si les identifiants saisie existe pass def create_an_account(self): # ouverture fenetre de creation de compte pass

[ "martelemilie@hotmail.fr" ]

martelemilie@hotmail.fr

6e0e8afd8e60cd83815c5e451171d6fc4ca0eaf1

9edb6c478c1c9769c989276834a9fb6aa32dbea9

/exercise/lesson7-4-prime.py

6ce90ad3701d65fce634105628140e948cfd3098

[]

no_license

dsuz/techacademy-python3

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refs/heads/master

2020-03-23T23:58:16.397310

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# pattern 1: 課題の仕様の条件をそのまま実装するやり方 # ただし、100 までなら問題ないが、このやり方では素数を判定する範囲が大きくなると正しい結果を得られない print('pattern 1') for i in range(2, 101): if i != 2 and i % 2 == 0: continue if i != 3 and i % 3 == 0: continue if i != 5 and i % 5 == 0: continue if i != 7 and i % 7 == 0: continue print(i) # pattern 2: Python の特徴に沿って短く書くやり方。ただし、計算には無駄が多い。 print('pattern 2') for n in range(2, 101): for p in range(2, n): if n % p == 0: break else: print(n) # pattern 3: 奇数のみに対して判定処理を行う # 計算の回数が少なくて済む print('pattern 3') for n in range(1, 101): if n == 2: # 2は自明な素数として処理する print(n) elif n % 2 != 0 and n > 2: # 3以上の奇数に対して素数かどうか判定する odd = 3 # odd は奇数 while odd**2 <= n: if n % odd == 0: break odd += 2 # odd を次の奇数にする else: print(n)

[ "bboydaisuke@gmail.com" ]

bboydaisuke@gmail.com

be5d3eb119948666460f7f37aaa237d499484b27

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/_source/conf.py

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[]

no_license

telnetning/sphinx-notebook

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32de101a4371b5f9dd0ed15a689243cbd70dc26a

refs/heads/master

2020-03-19T11:37:17.951625

2018-06-28T15:15:43

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# -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # # import os # import sys # sys.path.insert(0, os.path.abspath('.')) # -- Project information ----------------------------------------------------- project = 'telnetning\' Notebook' copyright = '2018, telnetning' author = 'telnetning' # The short X.Y version version = '' # The full version, including alpha/beta/rc tags release = '0.1' # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ ] # Add any paths that contain templates here, relative to this directory. templates_path = ['../_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The master toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = 'zh' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path . exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = 'sphinx_rtd_theme' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['../_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'testdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', 'papersize':'a4paper',# The font size ('10pt', '11pt' or '12pt'). 'pointsize':'12pt','classoptions':',oneside','babel':'',#必須 'inputenc':'',#必須 'utf8extra':'',#必須 # Additional stuff for the LaTeX preamble. 'preamble': r""" \usepackage{xeCJK} \usepackage{indentfirst} \setlength{\parindent}{2em} \setCJKmainfont{WenQuanYi Micro Hei} \setCJKmonofont[Scale=0.9]{WenQuanYi Micro Hei Mono} \setCJKfamilyfont{song}{WenQuanYi Micro Hei} \setCJKfamilyfont{sf}{WenQuanYi Micro Hei} \XeTeXlinebreaklocale "zh" \XeTeXlinebreakskip = 0pt plus 1pt """} # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'test.tex', 'test Documentation', 'telnetning', 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'test', 'test Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'test', 'test Documentation', author, 'test', 'One line description of project.', 'Miscellaneous'), ]

[ "telnetning@gmail.com" ]

telnetning@gmail.com

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/test/test_contacts_api.py

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[]

no_license

martinsauve/doli-swagger-client-python

e5f4308b6a38c34c4c0bcc796f6863e983b6d7da

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refs/heads/master

2023-08-14T00:04:02.228383

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py

# coding: utf-8 """ Restler API Explorer Live API Documentation # noqa: E501 OpenAPI spec version: 1 Contact: arul@luracast.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import swagger_client from swagger_client.api.contacts_api import ContactsApi # noqa: E501 from swagger_client.rest import ApiException class TestContactsApi(unittest.TestCase): """ContactsApi unit test stubs""" def setUp(self): self.api = ContactsApi() # noqa: E501 def tearDown(self): pass def test_contacts_add_category(self): """Test case for contacts_add_category Add a category to a contact 🔐 # noqa: E501 """ pass def test_contacts_create_user(self): """Test case for contacts_create_user Create an user account object from contact (external user) 🔐 # noqa: E501 """ pass def test_contacts_remove_category(self): """Test case for contacts_remove_category Remove the link between a category and a contact 🔐 # noqa: E501 """ pass def test_contacts_retrieve_by_email(self): """Test case for contacts_retrieve_by_email Get properties of a contact object by Email 🔐 # noqa: E501 """ pass def test_contacts_retrieve_categories(self): """Test case for contacts_retrieve_categories Get categories for a contact 🔐 # noqa: E501 """ pass def test_create_contacts(self): """Test case for create_contacts Create contact object 🔐 # noqa: E501 """ pass def test_list_contacts(self): """Test case for list_contacts List contacts 🔐 # noqa: E501 """ pass def test_remove_contacts(self): """Test case for remove_contacts Delete contact 🔐 # noqa: E501 """ pass def test_retrieve_contacts(self): """Test case for retrieve_contacts Get properties of a contact object 🔐 # noqa: E501 """ pass def test_update_contacts(self): """Test case for update_contacts Update contact 🔐 # noqa: E501 """ pass if __name__ == '__main__': unittest.main()

[ "martin@billesandco.paris" ]

martin@billesandco.paris

65bfbb32587539be33f925373460965abd890331

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/lab/util.py

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[ "MIT" ]

permissive

Lagikna/QuLab

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refs/heads/master

2020-03-18T19:44:22.785660

2018-12-13T07:26:11

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MIT

2019-12-16T06:10:19

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UTF-8

Python

false

390

py

# -*- coding: utf-8 -*- from qulab.util import (FWHM_of_normal_distribution, Std_of_norm_from_FWHM, WTodBm, dBmToW, get_probility, get_projection_axes, get_threshold_visibility, get_unit_prefix, kurtosis, project_data_into_axes, skew, step_t, step_t_finite, step_t_finite_overshoot, threshold)

[ "xfh1987@gmail.com" ]

xfh1987@gmail.com

0bccfa94dce8e7de2c0cba1832bf7c7f84cb96d7

6228aec0cb85f6ca24ebb746adc5fddedfd11037

/pinhole/common/tests/test_utils.py

b5d2ceb62148b526a99f0f7f00ac4e533c9cb111

[]

no_license

freyes/pinhole

dbadada04f569623de06dd426eb7e27cb15667c5

bb42647e7c20aed37e5288636285beaca9cce0bf

refs/heads/master

2016-09-05T10:42:05.485693

2014-01-20T22:16:13

null

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null

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from __future__ import absolute_import from nose.tools import assert_equal from ..utils import convert class TestConvert(object): def test(self): l = [('CamelCase', 'camel_case'), ('CamelCamelCase', 'camel_camel_case'), ('Camel2Camel2Case', 'camel2_camel2_case'), ('getHTTPResponseCode', 'get_http_response_code'), ('get2HTTPResponseCode', 'get2_http_response_code'), ('HTTPResponseCode', 'http_response_code'), ('HTTPResponseCodeXYZ', 'http_response_code_xyz')] for a, b in l: yield self.check, a, b def check(self, value, expected): assert_equal(convert(value), expected)

[ "freyes@tty.cl" ]

freyes@tty.cl

a6541180d6c98c1e419752242e46052594b5af0a

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/project2/nothotdog/nothotdog/asgi.py

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[]

no_license

jesper-trell/trell-hell

8c0ebf889ebccb4cb0d87d461dc33217d4e521e5

dc3fabeb7e9367ec2f6a4b4d7069f8b29bebac28

refs/heads/master

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""" ASGI config for nothotdog project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.1/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'nothotdog.settings') application = get_asgi_application()

[ "jesper@trell.se" ]

jesper@trell.se

ad69431da5f2601f25b6cd966f3faee816fe0fad

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/experiments/predict.py

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[ "MIT" ]

permissive

TomWattsChem/MTExplainer

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refs/heads/master

2023-06-17T01:29:02.629119

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from __future__ import print_function from rdkit import Chem smiles='B.C1CCOC1.CC(C)(C)C1=CCCc2occc21' def smi_tokenizer(smi): """ Tokenize a SMILES molecule or reaction """ import re pattern = "(\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|$|$|\.|=|#|-|\+|\\\\|\/|:|~|@|\?|>|\*|\$|\%[0-9]{2}|[0-9])" regex = re.compile(pattern) tokens = [token for token in regex.findall(smi)] assert smi == ''.join(tokens) return ' '.join(tokens) m = Chem.MolToSmiles(Chem.MolFromSmiles(smiles)) print(smi_tokenizer(m))

[ "davkovacs97@gmail.com" ]

davkovacs97@gmail.com

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/const.py

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[]

no_license

StarryYJ/optimizer

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refs/heads/master

2023-04-13T16:11:15.237702

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""" CovModel 协方差模型: FACTOR_MODEL_DAILY 日度协方差模型 FACTOR_MODEL_MONTHLY 月度协方差模型 FACTOR_MODEL_QUARTERLY 季度协方差模型 IndustryClassification 行业分类标准: SWS 申万一级 ZX 中信一级 SWS_1 申万一级，对非银金融进一步细分风格因子： beta 贝塔 book_to_price 账面市值比 earnings_yield 盈利率 growth 成长性 leverage 杠杆率 liquidity 流动性 momentum 动量 non_linear_size 非线性市值 residual_volatility 残余波动率 size 市值 """ from enum import Enum class CovModel(Enum): FACTOR_MODEL_DAILY = 'factor_model/daily' FACTOR_MODEL_MONTHLY = 'factor_model/monthly' FACTOR_MODEL_QUARTERLY = 'factor_model/quarterly' class IndustryClassification(Enum): """行业分类标准""" SWS = 'shenwan' # 申万一级 ZX = 'zhongxin' # 中信一级 SWS_1 = 'shenwan_non_bank_financial_breakdown' # 申万一级，对非银金融进一步细分 STYLE_FACTORS = [ 'beta', 'book_to_price', 'earnings_yield', 'growth', 'leverage', 'liquidity', 'momentum', 'non_linear_size', 'residual_volatility', 'size' ]

[ "yjin23@stevens.edu" ]

yjin23@stevens.edu

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/core/migrations/0006_auto_20170506_1307.py

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[]

no_license

Lok-tar-ogar/golden

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refs/heads/master

2021-01-19T12:09:21.227211

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# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2017-05-06 05:07 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0005_contact'), ] operations = [ migrations.RemoveField( model_name='facility', name='content', ), migrations.AddField( model_name='facility', name='madefac', field=models.CharField(max_length=50, null=True, verbose_name='制作厂商'), ), migrations.AddField( model_name='facility', name='num', field=models.CharField(max_length=50, null=True, verbose_name='数量'), ), migrations.AddField( model_name='facility', name='para', field=models.CharField(max_length=100, null=True, verbose_name='参数'), ), migrations.AddField( model_name='facility', name='unit', field=models.CharField(max_length=50, null=True, verbose_name='单位'), ), migrations.AddField( model_name='facility', name='usage', field=models.CharField(max_length=50, null=True, verbose_name='用途'), ), ]

[ "418586403@qq.com" ]

418586403@qq.com

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import dbus.mainloop.glib;dbus.mainloop.glib.DBusGMainLoop(set_as_default=True) from gi.repository import GObject import paho.mqtt.client as mqtt from google.cloud import pubsub from commons import Commons import sqlite3 as lite from network_status import NetworkStatus import NetworkManager import json import requests from threading import Thread import ConfigParser __devices = {} __d_args = ('sender', 'destination', 'interface', 'member', 'path') __d_args = dict([(x + '_keyword', 'd_' + x) for x in __d_args]) TEMP_TOPIC = "smarthomebrew/sensor/temperatura" SERIAL_NUMBER = Commons.getserial() __network_status = NetworkStatus() __db_con = None __db_cur = None __topic = None def on_connect(client, data, rc): client.subscribe([(TEMP_TOPIC, 0)]) def on_message(client, userdata, msg): if __network_status.is_connected(): publish_temp_cloud(msg.payload) else: save_temperature(msg.payload, False) def save_temperature(msg, sent): global __db_con global __db_cur msg_data = msg.split("#") __db_cur.execute('INSERT INTO temperatures (timestamp, temp, sent) VALUES(?, ?, ?)', (msg_data[0], msg_data[1], sent)) __db_con.commit() def publish_temp_cloud(msg): global __topic # Data must be a bytestring cloud_msg = SERIAL_NUMBER + "#" + msg cloud_msg.encode('utf-8') message_id = __topic.publish(cloud_msg) save_temperature(msg, True) print('Message {} published.'.format(message_id)) def device_add_remove(*args, **kwargs): global __d_args global __devices msg = kwargs['d_member'] if msg == "DeviceAdded": # Argument will be the device, which we want to monitor now args[0].connect_to_signal('StateChanged', device_state_change, **__d_args) return if msg == "DeviceRemoved": if args[0].object_path in __devices: del args[0].object_path def device_state_change(*args, **kwargs): global __devices global __network_status msg = kwargs['d_member'] path = kwargs['d_path'] device = NetworkManager.Device(path) newState = NetworkManager.const('device_state', args[0]) try: if device.DeviceType == NetworkManager.NM_DEVICE_TYPE_ETHERNET: connectionType = "Ethernet" elif device.DeviceType == NetworkManager.NM_DEVICE_TYPE_WIFI: connectionType = "Wifi" except: # D-Bus likely doesn't know about the device any longer, # this is typically a removable Wifi stick path = kwargs['d_path'] if path in __devices: connectionType = __devices[path]["type"] if newState == "activated": path = kwargs['d_path'] __devices[path] = {"type": connectionType, "active": True} if connectionType == "Ethernet": __network_status.ethernet = True if connectionType == "Wifi": __network_status.wifi = True send_unsent_batch() else: if connectionType == "Ethernet": __network_status.ethernet = False if connectionType == "Wifi": __network_status.wifi = False def send_unsent_batch(): global __db_con global __db_cur try: __db_con.row_factory = lite.Row __db_cur = __db_con.cursor() rows = __db_cur.execute("SELECT timestamp, temp AS temperature FROM temperatures WHERE sent = 0").fetchall() json_history = json.dumps([dict(ix) for ix in rows]) req = requests.post("<YOUR_FIREBASE_FUNCTIONS_ENDPOINT>/batchTemperatureUpdate", headers={'content-type': 'application/json', 'x-serial': '%s'} % Commons.getserial(), data=json_history) if req.status_code == requests.codes.ok: __db_cur.execute("UPDATE temperatures SET sent = 1 WHERE sent = 0") __db_con.commit() else: print("Erro ao enviar batch") except lite.Error, e: print "Error %s:" % e.args[0] def send_fermentation_settings(): config = ConfigParser.RawConfigParser() try: config.read('fermentation.properties') except ConfigParser.Error: print("Error opening fermentation.properties. Missing?") settings_data = json.dumps({Commons.getserial() : dict(config.items('Settings'))}) req = requests.post("<YOUR_FIREBASE_FUNCTIONS_ENDPOINT>/fermentationData", headers={'content-type': 'application/json'}, data=settings_data) if req.status_code == requests.codes.ok: print "Fermentation settings sent!" else: print("Error sending fermentation data :(") def start_sender(): try: global __network_status global __db_con global __db_cur global __topic global __devices global __network_status ################################################################################################################ # database connection # ################################################################################################################ __db_con = lite.connect('fermentation.db') __db_cur = __db_con.cursor() ################################################################################################################ # Network d-bus communitcation # ################################################################################################################ NetworkManager.NetworkManager.connect_to_signal('DeviceAdded', device_add_remove, **__d_args) NetworkManager.NetworkManager.connect_to_signal('DeviceRemoved', device_add_remove, **__d_args) for dev in NetworkManager.NetworkManager.GetDevices(): print("DEVICE!!") dev.connect_to_signal('StateChanged', device_state_change, **__d_args) __devices[dev.object_path] = {} if dev.DeviceType == NetworkManager.NM_DEVICE_TYPE_ETHERNET and \ NetworkManager.const('device_state', dev.State) == "activated": __devices[dev.object_path]["active"] = True __devices[dev.object_path]["type"] = "Ethernet" __network_status.ethernet = True if dev.DeviceType == NetworkManager.NM_DEVICE_TYPE_WIFI and \ NetworkManager.const('device_state', dev.State) == "activated": __devices[dev.object_path]["active"] = True __devices[dev.object_path]["type"] = "Wifi" __network_status.wifi = True print "Starting network manager thread" thread = Thread(target = start_network_manager_loop) thread.start() ################################################################################################################ # Send fermentation settings # ################################################################################################################ settings_thread = Thread(target=send_fermentation_settings) settings_thread.start() ################################################################################################################ # PubSub Cloud topic setup # ################################################################################################################ print "Starting cloud connection" pubsub_client = pubsub.Client() __topic = pubsub_client.topic('temperature') ################################################################################################################ # Local MQTT server # ################################################################################################################ print "Starting local MQTT connection" client = mqtt.Client(client_id='PUBSUB', protocol=mqtt.MQTTv31) client.on_connect = on_connect client.on_message = on_message client.connect("127.0.0.1", 1883) client.loop_forever() except KeyboardInterrupt: print("Pressed CTRL+C! :(") finally: if __db_con: __db_con.close() def start_network_manager_loop(): print "Starting network manager loop" loop = GObject.MainLoop() loop.run()

[ "netomarin@google.com" ]

netomarin@google.com

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/src/testspislave/test_rpigpioaccess.py

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# MIT License # # Copyright (c) 2017 Arkadiusz Netczuk <dev.arnet@gmail.com> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # import unittest imported_gpio = False try: from spislave.rpigpioaccess import RPiGPIOAccess imported_gpio = True except ImportError: ## ignore error pass #__scriptdir__ = os.path.dirname(os.path.realpath(__file__)) # logging.basicConfig(level=logging.INFO) ## ## Hardware layer -- no need to be tested ## class RPiGPIOAccessTest(unittest.TestCase): def setUp(self): # Called before execution of each testfunction pass def test_instantiate(self): try: RPiGPIOAccess() self.assertTrue( imported_gpio ) except NameError: ## happens when could not import GPIO access module self.assertFalse( imported_gpio ) if __name__ == "__main__": unittest.main()

[ "anetczuk@o2.pl" ]

anetczuk@o2.pl

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/modes/display_mode/menu_top.py

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import cv2 import numpy as np def attach_menu(frame_bg_with_menu, menu_dict, icon_len_side=80): """ Description: Attach menu on the top of frame_bg. To choose some function, just move your hand over the corresponding icon. Params: frame_bg_with_menu: Input from web camera. menu_dict: Icons to be attached on the top of a frame_bg_with_menu, which consists of color panel, thickness regulator, and some icons with other speical usages. icon_len_side: The length of icon side. """ for idx, icon in enumerate(menu_dict): val = menu_dict[icon] frame_bg_with_menu[ :icon_len_side, idx*icon_len_side:(idx+1)*icon_len_side ] = val if isinstance(val, tuple) else cv2.imread(val) return frame_bg_with_menu

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15732115701@163.com

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import unittest from unittest import mock import requests from qe2e.core import AssertContains, AssertEq, Case, Exec, GetUrl, RunState class TestCase(unittest.TestCase): def setUp(self): self.case = Case( name="Login screen", tags=["no-auth"], steps=[ Exec(command="ls -a"), GetUrl( response_name="login_response", url="localhost:8000/login", ), AssertEq( actual="login_response.status_code", expected=200, ), AssertEq( actual="login_response.html.title", expected="Login to continue", ), AssertContains( container="login_response.html.content", content="You really want to login", ), ], ) @mock.patch.object(requests, "get") def test_execute(self, mock_get): mock_get.return_value = mock.Mock( status_code=200, content=""" <html> <title>Login to continue</title> <body> You really want to login </body> </html> """, ) expected_run_state: RunState = { 0: {"success": True}, 1: {"success": True}, 2: {"success": True}, 3: {"success": True}, 4: {"success": True}, "login_response": { "html": { "content": "\n" "\n" "Login to continue\n" "\n" " You really want " "to login\n" " \n" "\n", "title": "Login to continue", }, "status_code": 200, }, } actual_run_result = self.case.evaluate() assert actual_run_result == expected_run_state def test_load(self): json = { "name": "Login screen", "steps": [ { "type": "exec", "command": "ls -a", }, { "type": "get_url", "url": "localhost:8000/login", "response_name": "login_response", }, { "type": "assert_eq", "actual": "login_response.status_code", "expected": 200, }, { "type": "assert_eq", "actual": "login_response.html.title", "expected": "Login to continue", }, { "type": "assert_contains", "container": "login_response.html.content", "content": "You really want to login", }, ], "tags": ["no-auth"], } actual_case = Case.from_dict(json) assert actual_case == self.case

[ "joshmarlow@gmail.com" ]

joshmarlow@gmail.com

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SuphakornHomnan/image_processing_hw1

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for i in range(255): print(chr(i))

[ "kotokikung@gmail.com" ]

kotokikung@gmail.com

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/models/AttrNet.py

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peternara/FashionPredictor-roi-pooling

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import torch import torch.nn as nn import torch.utils.model_zoo as model_zoo import math from config import cfg from layer_utils.Pool import Pooling import numpy as np class AttrNet(nn.Module): def __init__(self, num_classes=88, init_weights=True): super(AttrNet, self).__init__() # self.rois = rois # the first 4 shared conv layers self.conv1 = nn.Sequential( nn.Conv2d(in_channels=3, out_channels=64, kernel_size=3, padding=1), nn.BatchNorm2d(64, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.Conv2d(in_channels=64, out_channels=64, kernel_size=3, padding=1), nn.BatchNorm2d(64, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.MaxPool2d(kernel_size=2, stride=2), ) self.conv2 = nn.Sequential( nn.Conv2d(in_channels=64, out_channels=128, kernel_size=3, padding=1), nn.BatchNorm2d(128, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.Conv2d(in_channels=128, out_channels=128, kernel_size=3, padding=1), nn.BatchNorm2d(128, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.MaxPool2d(kernel_size=2, stride=2), ) self.conv3 = nn.Sequential( nn.Conv2d(in_channels=128, out_channels=256, kernel_size=3, padding=1), nn.BatchNorm2d(256, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.Conv2d(in_channels=256, out_channels=256, kernel_size=3, padding=1), nn.BatchNorm2d(256, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.Conv2d(in_channels=256, out_channels=256, kernel_size=3, padding=1), nn.BatchNorm2d(256, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.MaxPool2d(kernel_size=2, stride=2), ) self.conv4 = nn.Sequential( nn.Conv2d(in_channels=256, out_channels=512, kernel_size=3, padding=1), nn.BatchNorm2d(512, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.Conv2d(in_channels=512, out_channels=512, kernel_size=3, padding=1), nn.BatchNorm2d(512, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.Conv2d(in_channels=512, out_channels=512, kernel_size=3, padding=1), nn.BatchNorm2d(512, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.MaxPool2d(kernel_size=2, stride=2), ) # the first branch-- global image enter the 5th conv layer and fc1 self.conv5 = nn.Sequential( nn.Conv2d(in_channels=512, out_channels=512, kernel_size=3, padding=1), nn.BatchNorm2d(512, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.Conv2d(in_channels=512, out_channels=512, kernel_size=3, padding=1), nn.BatchNorm2d(512, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.Conv2d(in_channels=512, out_channels=512, kernel_size=3, padding=1), nn.BatchNorm2d(512, eps=1e-05, momentum=0.1,affine=True), nn.ReLU(True), nn.MaxPool2d(kernel_size=2, stride=2), ) self.fc1 = nn.Sequential( nn.Linear(512*7*7, 4096), nn.ReLU(True), nn.Dropout(), ) self.fc2 = nn.Sequential( nn.Linear(4096, 4096), nn.ReLU(True), nn.Dropout(), ) self.second_branch_fc1 = nn.Sequential( nn.Linear(512*7*7, 512), #tbd nn.ReLU(True), nn.Dropout(), ) self.second_branch_fc2 = nn.Sequential( nn.Linear(11264, 4096), nn.ReLU(True), nn.Dropout(), ) self.fc3_fine_tune = nn.Linear(8192, cfg.num_classes) # forward model, if single = True, forward a single image # if single = False, forward batch def forward(self, x, u, v): # share first 4 conv layers x = self.conv1(x) # 112 x = self.conv2(x) # 56 x = self.conv3(x) # 28 x = self.conv4(x) # 14 # first branch-- continue to enter 5th conv layer first_branch_conv = self.conv5(x) first_branch_conv = first_branch_conv.view(first_branch_conv.size(0), -1) first_branch_out = self.fc1(first_branch_conv) # 4096D first_branch_out = self.fc2(first_branch_out) # 4096D pool_out = Pooling(x, u,v, self.second_branch_fc1, self.second_branch_fc2,first_branch_out) #4096D # concat the output from the first and the second branch both_branch = torch.cat((first_branch_out, pool_out), 1) # 8192D output = self.fc3_fine_tune(both_branch) # for attribute prediction: return output # for image retrieval: return both_branch #return both_branch return output def initialize_weights(layers): if isinstance(layers, nn.Linear): nn.init.normal(layers.weight, 0, 0.01) nn.init.constant(layers.bias, 0) else: for m in layers: if isinstance(m, nn.Conv2d): nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu') if m.bias is not None: nn.init.constant(m.bias, 0) elif isinstance(m, nn.BatchNorm2d): nn.init.constant(m.weight, 1) nn.init.constant(m.bias, 0) elif isinstance(m, nn.Linear): nn.init.normal(m.weight, 0, 0.01) nn.init.constant(m.bias, 0) def build_network(): pretrained_weights = torch.load(cfg.VGG16_Weights) pretrained_list = list(pretrained_weights.items()) my_model = AttrNet( num_classes=cfg.num_classes) my_model_kvpair = my_model.state_dict() # load ImageNet-trained vgg16_bn weights count = 0 # load all conv layers (conv1- conv5) and fc1 from pretrained ImageNet weights(79 parameters in total) for key, value in my_model_kvpair.items(): if count < 82: # this is for vgg16 pretrained weights my_model_kvpair[key] = pretrained_list[count] count+=1 # initialize fc2,fc3 and second_branch fc initialize_weights(my_model.second_branch_fc1) initialize_weights(my_model.second_branch_fc2) initialize_weights(my_model.fc3_fine_tune) return my_model

[ "zwliu.hust@gmail.com" ]

zwliu.hust@gmail.com

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/nre.py

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[]

no_license

mtfrigo/DL-NLU

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refs/heads/master

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import numpy as np from numpy import zeros import pandas as pd from nltk.tokenize import WhitespaceTokenizer from keras.callbacks import ModelCheckpoint from keras.preprocessing import text, sequence from keras.preprocessing.sequence import pad_sequences from keras.models import Model, Input from keras.layers import LSTM, Embedding, Dense, TimeDistributed, SpatialDropout1D, Bidirectional from sklearn.model_selection import train_test_split import dataset as Dataset from dataset import DataParser, DatasetHandler # set parameters: VOCAB_SIZE = 8000 MAXLEN = 50 BATCH_SIZE = 32 EMBEDDING_DIM = 100 FILTERS = 250 KERNEL_SIZE = 3 HIDDEN_DIM = 100 EPOCHS = 10 VALIDATION_SPLIT = 0.2 def train(X_tr, y_tr): output_dim = 50 word_input = Input(shape=(MAXLEN,)) model = Embedding(input_dim=VOCAB_SIZE, output_dim=output_dim, input_length=MAXLEN)(word_input) model = SpatialDropout1D(0.1)(model) model = Bidirectional(LSTM(units=100, return_sequences=True, recurrent_dropout=0.1))(model) out = TimeDistributed(Dense(len(tags), activation="softmax"))(model) model = Model(word_input, out) model.compile(optimizer="rmsprop", loss="sparse_categorical_crossentropy", metrics=["accuracy"]) checkpointer = ModelCheckpoint(filepath = 'NER_model.h5', verbose = 0, mode = 'auto', save_best_only = True, monitor='val_loss') history = model.fit(X_tr, y_tr.reshape(*y_tr.shape, 1), batch_size=BATCH_SIZE, epochs=EPOCHS, shuffle=True, validation_split=VALIDATION_SPLIT, verbose=1, callbacks=[checkpointer]) return history if __name__ == "__main__": dataset = Dataset.load() handler = DatasetHandler(dataset) getter = DataParser(handler.data, handler.tags, handler.intent_labels) sentences = getter.sentences tags = getter.tags labels = [[s[1] for s in sent] for sent in getter.sentences] sentences = [" ".join([s[0] for s in sent]) for sent in getter.sentences] tokenizer = Dataset.getTokenizer() # --- Vocabulary as dict. Key => word, value => word index print('Found %s unique tokens.' % len(tokenizer.word_index)) sequences = tokenizer.texts_to_sequences(handler.texts) # ---- Transforms each text to a sequence of numbers # INTENTION MODEL NAO USAVA PADDING = POST X = pad_sequences(sequences, maxlen=MAXLEN, padding="post") # --- Pads sequence to same length # ONLY FOR NER MODEL!! # --- Transforms all TAGS to NUMBERS and padds to maxlen y_ner = [[getter.tag2idx[l_i] for l_i in l] for l in labels] y_ner = pad_sequences(maxlen=MAXLEN, sequences=y_ner, value=getter.tag2idx["O"]) # --- Split data into train and test # NER MODEL X_tr, X_te, y_tr, y_te = train_test_split(X, y_ner, test_size=0.2, shuffle=True) train(X_tr, y_tr)

[ "matheus.tfrigo@gmail.com" ]

matheus.tfrigo@gmail.com

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py

import tempfile from django.contrib.auth import get_user_model from PIL import Image from rest_framework.authtoken.models import Token from rest_framework.test import APITestCase from api import models as tienda_models import logging logging.disable(logging.CRITICAL) class TestCaseStock(APITestCase): def setUp(self): self.user = self.setup_user() self.token = Token.objects.create(user=self.user) self.token.save() self.client.defaults['HTTP_AUTHORIZATION'] = 'Token {}'.format( self.token.key) @staticmethod def setup_user(): User = get_user_model() return User.objects.create_user( 'test', email='testuser@test.com', password='test' ) def image(self): super().setUp() self.file = tempfile.NamedTemporaryFile(suffix='.jpg') image = Image.new('RGB', (100, 100)) image.save(self.file.name) return self.file def test_producto(self): ''' Testing Producto Model ''' data = { "nombre": "test", "presentacion": "test", "marca": "test", "fabricante": "test", "foto": self.image(), "descripcion": "test", "nivel_azucar": "test", "nivel_sal": "test", "nivel_grasa": "test", "estado": "test" } producto = self.client.post('/api/producto/', data, format='multipart') data = { "nombre": "test", "presentacion": "test", "marca": "test", "fabricante": "test", "foto": self.image(), "descripcion": "test", "nivel_azucar": "test", "nivel_sal": "test", "nivel_grasa": "test", "estado": "test" } producto = self.client.post('/api/producto/', data, format='multipart') ret = self.client.get('/api/producto/', format='json', HTTP_AUTHORIZATION='Token {}'.format(self.token.key)) self.assertEqual(tienda_models.Producto.objects.all().count(), 2) ret = self.client.get( f'/api/producto/{producto.data["id"]}/', format='json') self.assertEqual(ret.data['id'], 2) ''' Testing Categoria Model ''' data = { "nombre": "test", "descripcion": "test", "icono": self.image(), } categoria = self.client.post( '/api/categoria/', data, format='multipart') ret = self.client.get( f'/api/categoria/{categoria.data["id"]}/', format='json') self.assertEqual(tienda_models.Categoria.objects.all().count(), 1) self.assertEqual(ret.data['id'], 1) data = { "nombre": "test", "descripcion": "test", "icono": self.image(), } categoria = self.client.post( '/api/categoria/', data, format='multipart') ret = self.client.get( f'/api/categoria/{categoria.data["id"]}/', format='json') self.assertEqual(tienda_models.Categoria.objects.all().count(), 2) self.assertEqual(ret.data['id'], 2) ''' Testing SubCategoria Model ''' data = { "nombre": "test", "descripcion": "test", "icono": self.image(), "categoria": categoria.data["id"] } subcategoria = self.client.post( '/api/subcategoria/', data, format='multipart') ret = self.client.get( f'/api/subcategoria/{subcategoria.data["id"]}/', format='json') self.assertEqual(tienda_models.SubCategoria.objects.all().count(), 1) self.assertEqual(ret.data['id'], 1) data = { "nombre": "test", "descripcion": "test", "icono": self.image(), "categoria": categoria.data["id"] } subcategoria = self.client.post( '/api/subcategoria/', data, format='multipart') ret = self.client.get( f'/api/subcategoria/{subcategoria.data["id"]}/', format='json') self.assertEqual(tienda_models.SubCategoria.objects.all().count(), 2) self.assertEqual(ret.data['id'], 2) ''' Testing Tienda Model ''' data = { "id_ciudad": "test", "nombre": "test", "logo": self.image(), } tienda = self.client.post('/api/tienda/', data, format='multipart', HTTP_AUTHORIZATION='Token {}'.format(self.token.key)) ret = self.client.get( f'/api/tienda/{tienda.data["id"]}/', format='json') self.assertEqual(tienda_models.Tienda.objects.all().count(), 1) self.assertEqual(ret.data['id'], 1) data = { "id_ciudad": "test", "nombre": "test", "logo": self.image(), } tienda = self.client.post('/api/tienda/', data, format='multipart', HTTP_AUTHORIZATION='Token {}'.format(self.token.key)) ret = self.client.get( f'/api/tienda/{tienda.data["id"]}/', format='json') self.assertEqual(tienda_models.Tienda.objects.all().count(), 2) self.assertEqual(ret.data['id'], 2) ''' Testing Stock_En_Tienda Model ''' data = [] how_many_elem = 150000 import logging import time for index in range(0, how_many_elem): data.append({ "pvp": 1.0, "tiene_iva": True, "estado": "published", "precio_compra": 1.0, "margen_ganancia": 1.0, "id_tienda": tienda.data["id"], "id_producto": producto.data["id"], "categoria_id": categoria.data["id"] }) tiempo_inicial = time.time() self.client.post( '/api/stock_en_tienda/', data=data, format='json') print(time.time()-tiempo_inicial, ", en enviar el post con 150.000 objetos de Stock_En_Tienda") self.assertEqual( tienda_models.Stock_En_Tienda.objects.all().count(), how_many_elem) ''' Testing Delete ''' ret = self.client.delete( f'/api/stock_en_tienda/{tienda_models.Stock_En_Tienda.objects.all().first().id}/', format='json') self.assertEqual( tienda_models.Stock_En_Tienda.objects.all().count(), how_many_elem-1) ret = self.client.delete( f'/api/subcategoria/{subcategoria.data["id"]}/', format='json') self.assertEqual(tienda_models.SubCategoria.objects.all().count(), 1) tienda_models.SubCategoria.objects.all().delete() ret = self.client.delete( f'/api/categoria/{categoria.data["id"]}/', format='json') self.assertEqual(tienda_models.Categoria.objects.all().count(), 1) ret = self.client.delete( f'/api/producto/{producto.data["id"]}/', format='json') self.assertEqual(tienda_models.Producto.objects.all().count(), 1) ret = self.client.delete( f'/api/tienda/{tienda.data["id"]}/', format='json') self.assertEqual(tienda_models.Tienda.objects.all().count(), 1)

[ "banimontoya@gmail.com" ]

banimontoya@gmail.com

2431e59efa5919189179d9c5146283b232285086

ff4b578ae48434cd656fa8f3a88fe332590ad02f

/buffer.py

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[ "MIT" ]

permissive

abefetterman/rl-testing

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refs/heads/master

2020-03-17T16:55:56.867948

2018-10-15T19:02:07

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import numpy as np import random class ReplayBuffer(object): def __init__(self, len): self.buf = [] self.len = len def __len__(self): return len(self.buf) def add(self, new): if len(self.buf) >= self.len: self.buf.pop(0) self.buf.append(new) def sample(self, count): s = random.sample(self.buf, count) return [x for x in zip(*s)] class PriorityBuffer(object): def __init__(self, len, alpha=1, beta=1): self.buf = [] self.priorities = [] self.priorities_max = 1 self.alpha = alpha self.beta = beta self.len = len def __len__(self): return len(self.buf) def add(self, new): if len(self.buf) >= self.len: self.buf.pop(0) self.priorities.pop(0) self.buf.append(new) self.priorities.append(self.priorities_max) def sample(self, count): buffer_size = len(self.buf) p = np.array(self.priorities) ** self.alpha p = p / np.sum(p) idxs = np.random.choice(buffer_size, count, p=p) p_choice = p[idxs] buf_choice = [self.buf[x] for x in idxs] is_weights = (count * p_choice) ** ( - self.beta) is_weights = is_weights / np.max(is_weights) sample = [x for x in zip(*buf_choice)] return sample + [idxs, is_weights] def update_priorities(self, idxs, td_error): for i,e in zip(idxs,td_error): self.priorities[i] = e self.priorities_max = max(self.priorities)

[ "abe@nomiku.com" ]

abe@nomiku.com

c68931669cfa6c4fe750ddb797f8060f030a8daf

48d79f14fc307022913217b4dd1ea3abbaa01c65

/Stepper_Motor_Control/inverse_kinematics_control.py

21dd46681ff5d0a098fce9c1e96807318c5e77ea

[]

no_license

zmykevin/SPP2_Kevin

506d2e12f456f470b2383bc27cd106d5c3d250ed

6aa11db1d267a2a1f0c1b38c6604bc80fb757b83

refs/heads/master

2020-04-06T03:40:48.392814

2015-12-15T05:19:00

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__author__ = 'kevin' from stepper_motor_setup import * from camera_setup import * from time import sleep import math def Forward_Kinematics(theta_1,theta_2): h = 27 z = 1521 r = 32 assert (theta_2 != 0),"theta_2 cannot equal to 0" X = math.cos(theta_1)*h-math.sin(theta_1)*(z+r*math.cos(-theta_2))/(math.tan(-theta_2))+35 Y = h*math.sin(theta_1)+math.cos(theta_1)*(z+r*math.cos(-theta_2))/math.tan(-theta_2) real_word_coordinate = [X,Y] return real_word_coordinate if __name__ == "__main__": print('The inverse_kinematics_control start') ###################Initialize Motor##################### [Stepper_1,Stepper_2] = stepper_init() #Setup the current position as zero position Stepper_1.setCurrentPosition(0,0) Stepper_2.setCurrentPosition(0,0) #Engage the Stepper Motors Stepper_1.setEngaged(0,True) Stepper_2.setEngaged(0,True) #Setup speed, acceleration, and current setup_limit(Stepper_1,0,120000,1.2,40000)#acceleration,current & velocity setup_limit(Stepper_2,0,240000,0.6,120000) sleep(2) ###################Initialize Camera##################### Flycam = flycamera_init() Flycam.start_capture() #The main program is here try: while(True): angle_1 = float(raw_input("Please enter the angle for motor 1")) angle_2 = float(raw_input("Please enter the angle for motor 2")) theta_1 = (angle_1-2.5)/180.0*math.pi theta_2 = angle_2/180.0*math.pi print theta_1 print theta_2 floor_coord = Forward_Kinematics(theta_1,theta_2) print("X:%f, Y:%f"%(floor_coord[0],floor_coord[1])) step_1 = angel2step(angle_1,1) step_2 = angel2step(angle_2,2) Stepper_1.setTargetPosition(0,step_1) Stepper_2.setTargetPosition(0,step_2) sleep(1) except KeyboardInterrupt: pass ################Terminate camera and Motors##################### Flycam.stop_capture() Flycam.disconnect() try: #Move to the original spot Stepper_1.setTargetPosition(0,0) Stepper_2.setTargetPosition(0,0) sleep(3) #Turn off the engage of the motors Stepper_1.setEngaged(0,False) Stepper_2.setEngaged(0,False) sleep(1) Stepper_1.closePhidget() Stepper_2.closePhidget() except PhidgetException as e: print("Phidget Exception %i: %s" % (e.code, e.details)) print("Exiting....") exit(1) exit(0)

[ "zmykevin@umich.edu" ]

zmykevin@umich.edu

81bfffd21903b2d8852165aa09091831171679bf

62a20685d1044f75efb13de25db97bfac7e05236

/build/icontrol/catkin_generated/pkg.develspace.context.pc.py

ab6a8fe5b2a1f02a87d6bbc10d69c3a559abf643

[]

no_license

Irakli359/obst_avoidance_Irakli

184dc2dfd115b964ab12efae0bd6f723e440a12f

8503c69df885eb34d26733ba21335357db6f7654

refs/heads/master

2020-05-27T02:10:06.707618

2019-05-24T18:22:11

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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else [] PROJECT_CATKIN_DEPENDS = "".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else [] PROJECT_NAME = "icontrol" PROJECT_SPACE_DIR = "/home/irakli/mybot_ws/devel" PROJECT_VERSION = "0.0.0"

[ "ikelb14@freeuni.edu.ge" ]

ikelb14@freeuni.edu.ge

b99388307239664522c8b4196709221a72b6ab45

f14c198ad1b8f6324956e5bcdb4cd910c67eb3e1

/exercises/migrations/0006_exercise_relevant.py

723e7b4f8656890e09a7dc417e0bcff931632395

[ "Unlicense" ]

permissive

rattletat/python-homework-server

8150e9059d43cc24677a632fbac503856a66e971

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refs/heads/master

2022-12-26T02:25:48.455504

2020-10-01T11:08:24

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# Generated by Django 3.0.5 on 2020-05-13 18:07 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('exercises', '0005_auto_20200512_1116'), ] operations = [ migrations.AddField( model_name='exercise', name='relevant', field=models.BooleanField(default=True, verbose_name='Gibt an ob die Aufgabe in die Wertung einfließt.'), ), ]

[ "michael.brauweiler@posteo.de" ]

michael.brauweiler@posteo.de

1d9088244fedb844902f6ec924f6f0df2dbc23d0

4d5f94dc96edc28d550b187fea51a89a8a5ba5f9

/products/admin.py

de0b450bec84d197b28524ba1cb88d9b395a1bbe

[]

no_license

curiousTauseef/Django-e-Commerce

f4c36c416150cef63d614739ae309542c33a8bb6

6221b83966c6a488fdd7c13a443bc58aee4b8d6f

refs/heads/master

2022-09-17T23:49:28.406391

2019-09-18T20:40:32

null

0

null

UTF-8

Python

false

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from django.contrib import admin from .models import Category, Product # Register your models here. @admin.register(Category) class CategoryAdmin(admin.ModelAdmin): list_display = ['name', 'slug'] prepopulated_fields = {'slug': ('name',)} @admin.register(Product) class ProductAdmin(admin.ModelAdmin): list_display = ['name', 'slug', 'price', 'available', 'created', 'updated'] list_filter = ['available', 'created', 'updated'] list_editable = ['price', 'available'] prepopulated_fields = {'slug': ('name',)}

[ "hunter.me33@gmail.com" ]

hunter.me33@gmail.com