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

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# coding=utf-8 import time from to_log import to_log from QRCodeOfNetworkConfig import wifi_mode from dmSupport import get_device_attribute from configFile import data_for_networkTest, open_picture from honorRouter import Configuration rc = Configuration() to_log('SSID长度32/密码长度63网络配置测试\n') if rc.wc(name='123a'*8, pwd='12'*30 + 'abc', secure=2): # 生成SSID长度32/密码长度63网络配置二维码 wifi_mode(name='123a'*8, pwd='12'*30 + 'abc', pr='usb', dh='dhcp') # 配网时间 time.sleep(15) # 获取系统当前时间 nowTimestamp = time.strftime('%Y-%m-%d %H-%M-%S', time.localtime(time.time())) # 获取设备属性 da = get_device_attribute(data_for_networkTest.get('deviceNo')) # 修正时间 correction_time = nowTimestamp[:-4] + str(int(nowTimestamp[-4]) + 1) if da.get('time', 'failed')[:-3] == nowTimestamp[:-3] or da.get('time', 'failed')[:-3] == correction_time: if da.get('persist.net.type') == 'wifi' and da.get('persist.net.dhcp') == 'true': to_log('SSID长度32/密码长度63网络配置测试Pass\n') to_log('配网方式：'+da.get('persist.net.type', '')) to_log('DHCP：' + da.get('persist.net.dhcp', '')) to_log('IP：' + da.get('sys.net.ip', '')) to_log('MAC：' + da.get('system.net.wifi.mac', '') + '\n') else: to_log('请检查断言参数\n') # 打开设备信息码 open_picture('deviceInfoCode.png') else: to_log('SSID长度32/密码长度63网络配置测试Failed\n') rc.finished()

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#!/usr/bin/env python # -*- coding: utf-8 -*- import os import reda basepath = os.path.dirname(__file__) + os.sep def test_load_mat(): sip = reda.SIP() sip.import_sip04(basepath + 'Data/sip_dataA.mat') def test_load_csv(): sip2 = reda.SIP() sip2.import_sip04(basepath + 'Data/sip_dataA.csv')

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import sys sys.stdin = open("2529_input.txt", "r") """ 10개의 숫자 중에서 k 개를 순열로 가져와 부등호를 사이사이 넣어봐 중간에 가지치기 해주면서 쭉 돌아야 """ import itertools def sol(k, data): nums = list(range(10)) min_num, max_num = 10 ** (k + 1), 0 perms = itertools.permutations(nums, k + 1) for p in perms: if p == (1, 0, 2, 3, 4, 5, 6, 7, 9, 8): a = 1 for i in range(k): if data[i] == '>' and p[i] < p[i + 1]: break elif data[i] == '<' and p[i] > p[i + 1]: break # > < < < > > > < < else: str_num = '' for pp in p: str_num += str(pp) if int(str_num) < min_num: min_num = int(str_num) str_min = str_num if int(str_num) > max_num: max_num = int(str_num) str_max = max_num print(str_max) print(str_min) T = 2 for tc in range(T): k = int(input()) data = list(map(str, input().split())) sol(k, data)

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# Generated by Django 2.2.1 on 2019-05-01 20:36 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('submission', '0038_auto_20190429_0750'), ] operations = [ migrations.AddField( model_name='submission', name='created', field=models.DateTimeField(auto_now_add=True, null=True), ), ]

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class Solution: def avoidFlood(self, rains: List[int]) -> List[int]: """Hash table. """ n = len(rains) res = [1] * n f = {} s = [] for i, r in enumerate(rains): if r > 0: if r in f: idx = bisect.bisect_left(s, f[r]) if idx == len(s): return [] else: res[s[idx]] = r s.pop(idx) f[r] = i res[i] = -1 else: s.append(i) return res

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import ast def parse_math(expression): """ A function I got off stackoverflow that enables python to parse user input as a mathematical expression. probably a huge security risk. but it enables the user to enter missing characterization values during runtime. :param expression: :return: """ try: tree = ast.parse(expression, mode='eval') except SyntaxError: return # not a Python expression if not all(isinstance(node, (ast.Expression, ast.UnaryOp, ast.unaryop, ast.BinOp, ast.operator, ast.Num)) for node in ast.walk(tree)): return # not a mathematical expression (numbers and operators) return eval(compile(tree, filename='', mode='eval'))

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#calss header class _PERMUTATION(): def __init__(self,): self.name = "PERMUTATION" self.definitions = [u'any of the various ways in which a set of things can be ordered: ', u'one of several different forms: '] self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.specie = 'nouns' def run(self, obj1 = [], obj2 = []): return self.jsondata

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import os from parse_arguments import get_parsed_arguments from classifier.sccnn_classifier import SccnnClassifier from classifier.subpackages import NetworkOptions #########comment the below two lines if its running on a cpu environment############### os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"] = "0" #########comment the below two lines if its running on a cpu environment############### ################################################################################################ #exp_dir-> checkpoint_path #data_dir-> cws_path #result_dir-> classification result_path #detection_dir-> detection_path #tissue_segment_dir-> tissue_segmentation_result_path if available( this parameter is optional) ################################################################################################ args = get_parsed_arguments() opts = NetworkOptions.NetworkOptions(exp_dir=args.exp_dir, num_examples_per_epoch_train=1, num_examples_per_epoch_valid=1, image_height=51, image_width=51, in_feat_dim=3, in_label_dim=1, num_of_classes=4, batch_size=100, data_dir=args.data_dir, results_dir=args.results_dir, detection_results_path=args.detection_results_path, tissue_segment_dir=args.tissue_segment_dir, preprocessed_dir=None, current_epoch_num=0, file_name_pattern=args.file_name_pattern, pre_process=False, color_code_file='HE_Fib_Lym_Tum_Others.csv') opts.results_dir = (os.path.join(opts.results_dir, '2020ENS_TA_DUKE_HE_TEST')) if not os.path.isdir(opts.results_dir): os.makedirs(opts.results_dir) if not os.path.isdir(os.path.join(opts.results_dir, 'mat')): os.makedirs(os.path.join(opts.results_dir, 'mat')) if not os.path.isdir(os.path.join(opts.results_dir, 'annotated_images')): os.makedirs(os.path.join(opts.results_dir, 'annotated_images')) if not os.path.isdir(os.path.join(opts.results_dir, 'csv')): os.makedirs(os.path.join(opts.results_dir, 'csv')) Network = SccnnClassifier(batch_size=opts.batch_size, image_height=opts.image_height, image_width=opts.image_width, in_feat_dim=opts.in_feat_dim, in_label_dim=opts.in_label_dim, num_of_classes=opts.num_of_classes) #print(opts) Network.generate_output(opts=opts)

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# -*- coding: utf-8 -*- # (c) Copyright 2019 Sensirion AG, Switzerland from __future__ import absolute_import, division, print_function from sensirion_shdlc_driver.serial_frame_builder import \ ShdlcSerialMisoFrameBuilder from sensirion_shdlc_driver.errors import ShdlcResponseError import pytest def test_initial_data_empty(): """ Test if the initial value and type of the "data" property is correct. """ builder = ShdlcSerialMisoFrameBuilder() assert type(builder.data) is bytearray assert len(builder.data) == 0 def test_initial_start_received_false(): """ Test if the initial value and type of the "start_received" property is correct. """ builder = ShdlcSerialMisoFrameBuilder() assert type(builder.start_received) is bool assert builder.start_received is False def test_add_data_appends(): """ Test if the "add_data()" method appends the passed data to the object. """ builder = ShdlcSerialMisoFrameBuilder() builder.add_data(b"\x00\x01\x02") assert builder.data == b"\x00\x01\x02" builder.add_data(b"\x03\x04\x05") assert builder.data == b"\x00\x01\x02\x03\x04\x05" builder.add_data(b"\xfd\xfe\xff") assert builder.data == b"\x00\x01\x02\x03\x04\x05\xfd\xfe\xff" def test_add_data_raises_if_max_length_reached(): """ Test if the "add_data()" method raises an ShdlcResponseError if no valid frame is contained and the maximum frame length is reached. """ builder = ShdlcSerialMisoFrameBuilder() builder.add_data(b"\x00" * 500) with pytest.raises(ShdlcResponseError): builder.add_data(b"\x00" * 23) def test_add_data(): """ Test if return type and value of the "add_data()" method is correct. """ builder = ShdlcSerialMisoFrameBuilder() assert type(builder.add_data(b"")) is bool assert builder.add_data(b"") is False assert builder.add_data(b"\x00\x01\x02") is False # some rubbish assert builder.add_data(b"\x7e\x00\x00") is False # frame START assert builder.add_data(b"\x00\x00\x7e") is True # frame STOP assert builder.add_data(b"\x00\x01\x02") is True # some rubbish def test_initial_start_received(): """ Test if the return value of the "start_received" property is correct after adding data with "add_data()". """ builder = ShdlcSerialMisoFrameBuilder() builder.add_data(b"\x00\x01\x02") # some rubbish assert builder.start_received is False builder.add_data(b"\x7e\x00\x00") # frame START assert builder.start_received is True builder.add_data(b"\x00\x00\x7e") # frame STOP assert builder.start_received is True builder.add_data(b"\x00\x01\x02") # some rubbish assert builder.start_received is True @pytest.mark.parametrize("raw,exp_addr,exp_cmd,exp_state,exp_data", [ pytest.param(b"\x7e\x00\x00\x00\x00\xff\x7e", 0x00, 0x00, 0x00, b"", id="all_zeros_nodata"), pytest.param(b"\x7e\x00\x00\x00\xff" + b"\x00" * 255 + b"\x00\x7e", 0x00, 0x00, 0x00, b"\x00" * 255, id="all_zeros_withdata"), pytest.param(b"\x7e\xff\xff\xff\xff" + b"\xff" * 255 + b"\x02\x7e", 0xFF, 0xFF, 0xFF, b"\xff" * 255, id="all_0xFF_withdata"), pytest.param(b"\x7e\x7d\x5e\x7d\x5d\x7d\x31\x03\x12\x7d\x33\x14\xb7\x7e", 0x7e, 0x7d, 0x11, b"\x12\x13\x14", id="byte_stuffing_in_address_command_state_and_data"), pytest.param(b"\x7e\x00\x01\x00\xff" + b"\x7d\x5e" * 255 + b"\x7d\x5d\x7e", 0x00, 0x01, 0x00, b"\x7e" * 255, id="byte_stuffing_in_data_and_checksum"), ]) def test_interpret_data_valid(raw, exp_addr, exp_cmd, exp_state, exp_data): """ Test if return type and value of the "interpret_data()" method is correct. """ builder = ShdlcSerialMisoFrameBuilder() assert builder.add_data(raw) is True recv_addr, recv_cmd, recv_state, recv_data = builder.interpret_data() assert type(recv_addr) is int assert type(recv_cmd) is int assert type(recv_state) is int assert type(recv_data) is bytes assert recv_addr == exp_addr assert recv_cmd == exp_cmd assert recv_state == exp_state assert recv_data == exp_data @pytest.mark.parametrize("raw", [ pytest.param(b"\x7e\x7e", id="empty"), pytest.param(b"\x7e\x00\x00\x00\xff\x7e", id="too_short"), pytest.param(b"\x7e\x00\x00\x00\xff" + b"\x00" * 256 + b"\x00\x7e", id="too_long"), pytest.param(b"\x7e\x00\x00\x00\x01\xfe\x7e", id="too_less_data"), pytest.param(b"\x7e\x00\x00\x00\x00\x00\xff\x7e", id="too_much_data"), pytest.param(b"\x7e\x00\x00\x00\x00\xfe\x7e", id="nodata_wrong_checksum"), pytest.param(b"\x7e\xff\xff\xff\xff" + b"\xff" * 255 + b"\x00\x7e", id="all_0xFF_wrong_checksum"), ]) def test_interpret_data_invalid(raw): """ Test if "interpret_data()" raises an ShdlcResponseError on invalid data. """ builder = ShdlcSerialMisoFrameBuilder() assert builder.add_data(raw) is True with pytest.raises(ShdlcResponseError): builder.interpret_data()

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""" WSGI config for The_Watch project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_SETTINGS_MODULE", "The_Watch.settings") application = get_wsgi_application()

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class Solution: def mySqrt(self, x: int) -> int: """ 从 0 到 n 肯定不行，可以优化为到 n/2 1 只计算一次，依然超时，只好用二分的了 2 一定要注意验算 0 和 1 注意 while 和条件的变化如果是 low <= high，那么后面 low=mid 要 +1，high=mid 要 -1 最后退出循环时，high 比 low 小 1，返回 high 3 二分 4 位运算，从高到低求值 https://leetcode.com/problems/sqrtx/discuss/25048/Share-my-O(log-n)-Solution-using-bit-manipulation >>> Solution().mySqrt(1060472158) 32564 """ answer = 0 bit = 1 << 15 # 假设是32位 int 所以从 16 位开始 while bit > 0: answer |= bit # 将这一位设为 1 if answer * answer > x: # 说明加上这一位的 1 就大了，说明不能加，恢复 answer ^= bit # bit 只有最高位为 1，异或将 answer 这一位置为 0 bit >>= 1 return answer if __name__ == '__main__': import doctest doctest.testmod(verbose=True)

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#!/usr/bin/env python # -*- coding: utf-8 -*- import random from django.test import TestCase from django.core.exceptions import ValidationError from disposable_email_checker import validators from disposable_email_checker.emails import email_domain_loader class TestDisposableEmailValidator(TestCase): def setUp(self): self.disposable_email = "fake.mcfakerston@{domain}".format( domain=random.choice(email_domain_loader()) ) self.not_a_disposable_email = "sergey.brin@google.com" def test_validator(self): self.assertRaises(ValidationError, validators.validate_disposable_email, self.disposable_email) validators.validate_disposable_email(self.not_a_disposable_email)

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# # @lc app=leetcode.cn id=1154 lang=python3 # # [1154] 一年中的第几天 # # @lc code=start class Solution: def dayOfYear(self, data: str) -> int: year = int(data[0:4]) month = int(data[5:7]) day = int(data[8:]) dic = [31,28,31,30,31,30,31,31,30,31,30,31] if year%400==0 or year%4==0 and year%100!=0: dic[1]=29 return sum(dic[:month-1])+day # @lc code=end

[ "438854233@qq.com" ]

438854233@qq.com

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/剑指offer/No20_表示数值的字符串.py

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fank-cd/books_exercise_code

cb81ee8ec8167a5f5e3bfc58d3c1d6d931ca9286

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refs/heads/master

2021-07-11T01:15:11.980179

2020-06-29T04:01:53

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# 面试题20：表示数值的字符串 # 题目：请实现一个函数用来判断字符串是否表示数值（包括整数和小数）。 # 例如，字符串"+100"、"5e2"、"-123"、"3.1416"、及"-1E-16"都表示 # 数值，但"12E"、"1a3.14"、"1.2.3"、"+-5"及"12e+5.4"都不是。 # # 读不懂题意，留下代码，暂时空着 def is_numeric(string): if not isinstance(string, str): return False index = 0 result, index = scan_integer(string, index) if index < len(string) and string[index] == '.': index += 1 has_float, index = scan_unsigned_integer(string, index) result = result or has_float if index < len(string) and string[index] in ('e', 'E'): index += 1 has_exp, index = scan_integer(string, index) result = result and has_exp return result and index == len(string) def scan_integer(string, index): if index < len(string) and string[index] in ('-', '+'): index += 1 return scan_unsigned_integer(string, index) def scan_unsigned_integer(string, index): old_index = index while index < len(string) and string[index] in '0123456789': index += 1 return (old_index != index), index if __name__ == "__main__": print(is_numeric("+100")) print(is_numeric("5e2")) print(is_numeric("-200")) print(is_numeric("3.1415926")) print(is_numeric("1.34e-2")) print(is_numeric("1.34e"))

[ "2464512446@qq.com" ]

2464512446@qq.com

35c16b5dd609e24fbc243144ddcb65eef3a54569

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/server/config.py

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permissive

Nukesor/spacesurvival

dcbb8f0441c23367cd4c32beb260e336d8de06a7

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refs/heads/master

2021-01-19T09:27:03.809556

2017-12-04T13:03:17

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2017-02-15T21:54:37

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"""Various configs for different environments.""" from datetime import timedelta class BaseConfig: """Base config.""" DEBUG = False SECRET_KEY = 'lolololol' SQLALCHEMY_TRACK_MODIFICATIONS = False SQLALCHEMY_DATABASE_URI = 'postgres://localhost/browsergame' AUTH_TOKEN_TIMEOUT = timedelta(days=365) MAIL_PORT = 465 MAIL_USE_SSL = True MAIL_USERNAME = 'username' MAIL_PASSWORD = 'password' PASSLIB_SCHEMES = ["argon2"] SECURITY_CONFIRMABLE = True SECURITY_TRACKABLE = True MODULE_FILE_PATH = "server/data/module_data.json" RESEARCH_FILE_PATH = "server/data/research_data.json" CORS_ALLOW_ORIGIN = '' CORS_ALLOW_METHODS = '' CORS_ALLOW_HEADERS = '' class DevConfig(BaseConfig): """Develop config.""" DEBUG = True SQLALCHEMY_DATABASE_URI = 'postgres://localhost/browsergame-dev' class TestConfig(BaseConfig): """Testing config.""" SQLALCHEMY_DATABASE_URI = 'postgres://localhost/browsergame-test' class ProdConfig(BaseConfig): """Production config.""" SQLALCHEMY_DATABASE_URI = 'postgres://localhost/browsergame' AUTH_TOKEN_TIMEOUT = 30 * 12 * 30 * 24 * 3600 configs = { 'develop': DevConfig, 'testing': TestConfig, 'production': ProdConfig, }

[ "arne@twobeer.de" ]

arne@twobeer.de

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/ucs/base/univention-updater/conffiles/15_ucs-online-version.py

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[]

no_license

m-narayan/smart

92f42bf90d7d2b24f61915fac8abab70dd8282bc

1a6765deafd8679079b64dcc35f91933d37cf2dd

refs/heads/master

2016-08-05T17:29:30.847382

2013-01-04T04:50:26

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# Copyright (C) 2011-2012 Univention GmbH # # http://www.univention.de/ # # All rights reserved. # # The source code of this program is made available # under the terms of the GNU Affero General Public License version 3 # (GNU AGPL V3) as published by the Free Software Foundation. # # Binary versions of this program provided by Univention to you as # well as other copyrighted, protected or trademarked materials like # Logos, graphics, fonts, specific documentations and configurations, # cryptographic keys etc. are subject to a license agreement between # you and Univention and not subject to the GNU AGPL V3. # # In the case you use this program under the terms of the GNU AGPL V3, # the program is provided in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License for more details. # # You should have received a copy of the GNU Affero General Public # License with the Debian GNU/Linux or Univention distribution in file # /usr/share/common-licenses/AGPL-3; if not, see # <http://www.gnu.org/licenses/>. import os, shutil FILE_NAME='/etc/apt/sources.list.d/15_ucs-online-version.list' def preinst(baseConfig, changes): if os.path.exists('%s.old' % FILE_NAME): os.remove('%s.old' % FILE_NAME) if os.path.exists(FILE_NAME): shutil.copyfile('%s' % FILE_NAME, '%s.old' % FILE_NAME) def postinst(baseConfig, changes): if os.path.exists(FILE_NAME): res=open(FILE_NAME, 'r').readlines() if len(res) <= 1: os.remove(FILE_NAME) if os.path.exists('%s.old' % FILE_NAME): shutil.copyfile('%s.old' % FILE_NAME, '%s' % FILE_NAME) if os.path.exists('%s.old' % FILE_NAME): os.remove('%s.old' % FILE_NAME) pass

[ "kartik@debian.org" ]

kartik@debian.org

ac1f4677532bd69943d43bfac731b473a9f32705

41e2cf24f0ff3a11a98bb00e03c598dde35452c4

/project/migrations/0009_googleapisetup.py

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[]

no_license

anushamokashi/mob

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37bc0eb033bc23d37e9d4fb9bb8b2b456553ff7f

refs/heads/master

2020-04-24T08:36:56.008212

2019-02-21T09:09:04

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# -*- coding: utf-8 -*- # Generated by Django 1.11.13 on 2018-08-31 10:27 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion import django_extensions.db.fields class Migration(migrations.Migration): dependencies = [ ('project', '0008_project_table_append_by_underscore'), ] operations = [ migrations.CreateModel( name='GoogleAPISetup', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', django_extensions.db.fields.CreationDateTimeField(auto_now_add=True, verbose_name='created')), ('modified', django_extensions.db.fields.ModificationDateTimeField(auto_now=True, verbose_name='modified')), ('apikey', models.CharField(blank=True, max_length=200, null=True)), ('clientid', models.CharField(blank=True, max_length=200, null=True)), ('project_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='project.Project')), ], options={ 'ordering': ('-modified', '-created'), 'abstract': False, 'get_latest_by': 'modified', }, ), ]

[ "anusha.mokashi@gmail.com" ]

anusha.mokashi@gmail.com

ad02f8785f62b23517182467691e772ea5ff368c

981fbe20320ce16e5746c3d492545fbd30bcef02

/screen_cap/http_screen_cap.py

1e3c46dd41dba62f9d329daa7ebf9789613794af

[]

no_license

jinjin123/zabbix-api

f73e32c3433356c19df623066d457f5d7e0709e6

471116d0dcd5074b1047d4065c87e7f32c9aa9ff

refs/heads/master

2021-01-25T06:45:16.371094

2017-07-26T12:23:39

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#!/usr/bin/env python # -*- coding: utf-8 -*- # task argument to get the mapping grapth #hostid and graphid its need , 每个host的id都不一样，从hostid 往下级拿graphid hostid=xx&graphid=xx& import json, traceback import datetime import cookielib, urllib2,urllib import time class ZabbixGraph(): def __init__(self,url="http://172.16.102.128:81/index.php",name="admin",password="zabbix"): self.url=url self.name=name self.passwd=password #初始化的时候生成cookies cookiejar = cookielib.CookieJar() urlOpener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cookiejar)) values = {"name":self.name,'password':self.passwd,'autologin':1,"enter":'Sign in'} data = urllib.urlencode(values) request = urllib2.Request(url, data) try: urlOpener.open(request,timeout=10) self.urlOpener=urlOpener except urllib2.HTTPError, e: print e def GetGraph(self,url="http://172.16.102.128:81/chart2.php",values={'width': 800, 'height': 200, 'hostid': '', 'graphid': '', 'stime': time.strftime('%Y%m%d%H%M%S', time.localtime(time.time())), 'period': 3600},image_dir="/home/azureuser"): data=urllib.urlencode(values) request = urllib2.Request(url,data) url = self.urlOpener.open(request) image = url.read() imagename="%s/%s_%s_%s.jpg" % (image_dir, values["hostid"], values["graphid"], values["stime"]) #imagename="%s/%s_%s.jpg" % (image_dir, values["graphid"], values["stime"]) f=open(imagename,'wb') f.write(image) return '1' if __name__ == "__main__": #hostid = ['10107','10108','10109','10110','10111','10112'] hostid = ['10107','10108'] #graphidm = ['594','566','566','594','601','608'] graphidm = ['594','566'] graphidd = ['624','643'] #graphidd = ['624','643','','','','',''] graph = ZabbixGraph() stime = time.strftime('%Y%m%d%H%M%S', time.localtime(time.time())) values = {'width': 800, 'height': 200, 'hostid': '10107', 'graphid': '594', 'stime': stime, 'period': 300} graph.GetGraph("http://172.16.102.128:81/chart2.php",values,"/root/screen") #for h in hostid: # for m in graphidm: # values = {'width': 800, 'height': 200, 'hostid': h, 'graphid': m, 'stime': stime, 'period': 300} # graph.GetGraph("http://172.16.102.128:81/chart2.php",values,"/root/screen") #for d in graphidd: # values = {'width': 800, 'height': 200, 'hostid': h, 'graphid': d, 'stime': stime, 'period': 300} # graph.GetGraph("http://172.16.102.128:81/chart2.php",values,"/root/screen")

[ "1293813551@qq.com" ]

1293813551@qq.com

bf42f669890aa2afb5de8d642415984eadf63771

60a6ba6e5f3faca2b1e17c1e90917efc3cfc561a

/aoc2018/day7/day7_part2.py

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[ "MIT" ]

permissive

GetPastTheMonkey/advent-of-code

f462f5e2b72d913e39484446ce92a043d455091c

7a5ee30dbafaf8ef6f9bf9936e484efd024aa308

refs/heads/master

2023-01-14T09:45:00.553575

2022-12-25T10:59:19

2022-12-25T13:00:44

160,684,715

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from os.path import join, dirname, realpath from re import match # Specify number of workers worker_count = 5 workers = [{ "task": None, "remaining": 0 } for _ in range(worker_count)] # Load file tasks = dict() for i in range(ord("A"), ord("Z")+1): tasks[chr(i)] = dict() tasks[chr(i)]["requirements"] = [] tasks[chr(i)]["duration"] = 60 + (i - 64) # 60 + position of character in alphabet -> A = 60+1, B = 60+2, ... tasks[chr(i)]["has_worker"] = False with open(join(dirname(realpath(__file__)), "input.txt")) as f: for line in f: m = match("^Step (?P<req>[A-Z]) must be finished before step (?P<step>[A-Z]) can begin\.$", line) step = m.group("step") reqs = m.group("req") tasks[step]["requirements"].append(reqs) def find_empty_tasks(req): empty_list = [] for key, data in req.items(): if not data["requirements"] and not data["has_worker"]: empty_list.append(key) empty_list.sort() return empty_list def distribute_work(req, w): empty_tasks = find_empty_tasks(req) if empty_tasks: print("[ITERATION {}] - Tasks with empty requirements: {}".format(iterations, empty_tasks)) for worker in w: # If the worker is idle and there is still an empty task, then work on it if worker["task"] is None and len(empty_tasks) > 0: t = empty_tasks.pop(0) worker["task"] = t worker["remaining"] = req[t]["duration"] req[t]["has_worker"] = True return req, w def do_work(w): for worker in w: if worker["task"] is not None: worker["remaining"] -= 1 def remove_finished_tasks(req, w): removed_tasks = [] # Loop through workers and remove finished tasks for worker in w: if worker["task"] is not None and worker["remaining"] == 0: # Remove task from req dict print("[ITERATION {}] - Finished task {}".format(iterations, worker["task"])) req.pop(worker["task"]) removed_tasks.append(worker["task"]) worker["task"] = None # Create new task dict new_tasks = dict() for key, value in req.items(): new_tasks[key] = { "requirements": [], "duration": value["duration"], "has_worker": value["has_worker"] } for r in value["requirements"]: if r not in removed_tasks: new_tasks[key]["requirements"].append(r) return new_tasks, w iterations = 0 while tasks: tasks, workers = distribute_work(tasks, workers) do_work(workers) iterations += 1 tasks, workers = remove_finished_tasks(tasks, workers) print("Finished after {} iterations (with {} workers)".format(iterations, worker_count))

[ "sven.gruebel@gmx.ch" ]

sven.gruebel@gmx.ch

f5d4cf6f485d762c5643ead19f6f44edcc5d2d96

0485a490f466bd1d02eaae96d277888781208c0e

/tests/single_instruction_translation_validation/mcsema/register-variants/movb_r8_rh/Output/test-z3.py

e85a3ad441dea371dd1ab92ebdf22d518b6ae522

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

permissive

Mthandazo42/validating-binary-decompilation

c0e2d54cd79e609bfa35802975bddfa52e646fad

c0fcd6f099e38195dcbbac9e8c13a825865c5cb5

refs/heads/master

2022-11-11T13:18:13.033044

2020-06-25T05:49:01

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null

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py

############################################# ######## Auto Generated Proof Scripts ####### ############################################# import z3 import sys status=True test_name="UnK" if(len(sys.argv) > 1): test_name = sys.argv[1] def solve(msg, lvar, xvar, s): global status s.set("timeout", 60000) res = s.check() if(z3.unknown == res): print(test_name + "::" + msg + "::unk") status = "Unknown" if(z3.sat == res): if("UNDEF" in xvar.sexpr()): print(test_name + "::" + msg + "::undef-sat") else: m = s.model() print(test_name + "::" + msg + "::sat") print("\n") print("query", s) print("\n") print("model", m) print("\n") print("xvar =", m.evaluate(xvar)) print("lvar =", m.evaluate(lvar)) print("\n") status = False ############################## ## X86 specific variables #### ############################## ### GPRs VX_RAX = z3.BitVec('VX_RAX',64) VX_RBX = z3.BitVec('VX_RBX',64) VX_RCX = z3.BitVec('VX_RCX',64) VX_RDX = z3.BitVec('VX_RDX',64) VX_RSI = z3.BitVec('VX_RSI',64) VX_RDI = z3.BitVec('VX_RDI',64) ### Flags VX_CF = z3.BitVec('VX_CF',1) VX_PF = z3.BitVec('VX_PF',1) VX_ZF = z3.BitVec('VX_ZF',1) VX_SF = z3.BitVec('VX_SF',1) VX_AF = z3.BitVec('VX_AF',1) VX_OF = z3.BitVec('VX_OF',1) ### YMM Registers VX_YMM1 = z3.BitVec('VX_YMM1', 256) VX_YMM2 = z3.BitVec('VX_YMM2', 256) ## Undef VX_UNDEF_1 = z3.BitVec('VX_UNDEF_1', 1) VX_UNDEF_BOOL = z3.Bool('VX_UNDEF_BOOL') ############################## ## X86 specific variables #### ############################## ### GPRs VL_RAX = z3.BitVec('VL_RAX',64) VL_RBX = z3.BitVec('VL_RBX',64) VL_RCX = z3.BitVec('VL_RCX',64) VL_RDX = z3.BitVec('VL_RDX',64) VL_RSI = z3.BitVec('VL_RSI',64) VL_RDI = z3.BitVec('VL_RDI',64) ### Flags VL_CF = z3.BitVec('VL_CF',8) VL_PF = z3.BitVec('VL_PF',8) VL_ZF = z3.BitVec('VL_ZF',8) VL_SF = z3.BitVec('VL_SF',8) VL_AF = z3.BitVec('VL_AF',8) VL_OF = z3.BitVec('VL_OF',8) ### YMM Registers VL_YMM1_0 = z3.BitVec('VL_YMM1_0', 64) VL_YMM1_1 = z3.BitVec('VL_YMM1_1', 64) VL_YMM1_2 = z3.BitVec('VL_YMM1_2', 64) VL_YMM1_3 = z3.BitVec('VL_YMM1_3', 64) VL_YMM2_0 = z3.BitVec('VL_YMM2_0', 64) VL_YMM2_1 = z3.BitVec('VL_YMM2_1', 64) VL_YMM2_2 = z3.BitVec('VL_YMM2_2', 64) VL_YMM2_3 = z3.BitVec('VL_YMM2_3', 64) ############################## ## Proof variables ########### ############################## V_R = z3.BitVec('V_R',64) V_F = z3.BitVec('V_F',1) V_Y = z3.BitVec('V_Y',256) ## Solver instance s = z3.Solver() ############################## ## Default constraints ####### ############################## ### GPRs s.add(VX_RAX == VL_RAX) s.add(VX_RBX == VL_RBX) s.add(VX_RCX == VL_RCX) s.add(VX_RDX == VL_RDX) s.add(VX_RDI == VL_RDI) s.add(VX_RSI == VL_RSI) ### Flags s.add(z3.Or(VL_CF == 0, VL_CF == 1)) s.add(z3.Or(VL_ZF == 0, VL_ZF == 1)) s.add(z3.Or(VL_PF == 0, VL_PF == 1)) s.add(z3.Or(VL_SF == 0, VL_SF == 1)) s.add(z3.Or(VL_AF == 0, VL_AF == 1)) s.add(z3.Or(VL_OF == 0, VL_OF == 1)) s.add(z3.Extract(0,0, VL_CF) == VX_CF) s.add(z3.Extract(0,0, VL_SF) == VX_SF) s.add(z3.Extract(0,0, VL_ZF) == VX_ZF) s.add(z3.Extract(0,0, VL_PF) == VX_PF) s.add(z3.Extract(0,0, VL_AF) == VX_AF) s.add(z3.Extract(0,0, VL_OF) == VX_OF) ### Ymms s.add(z3.Concat(VL_YMM1_3, VL_YMM1_2, VL_YMM1_1, VL_YMM1_0) == VX_YMM1) s.add(z3.Concat(VL_YMM2_3, VL_YMM2_2, VL_YMM2_1, VL_YMM2_0) == VX_YMM2) ## =******= AF =******= s.push() lvar = (V_F == z3.Extract(0, 0, z3.Extract(7, 0, VL_AF))) xvar = (V_F == VX_AF) s.add(lvar != xvar) solve("AF", lvar, xvar, s) s.pop() ## =******= CF =******= s.push() lvar = (V_F == z3.Extract(0, 0, z3.Extract(7, 0, VL_CF))) xvar = (V_F == VX_CF) s.add(lvar != xvar) solve("CF", lvar, xvar, s) s.pop() ## =******= OF =******= s.push() lvar = (V_F == z3.Extract(0, 0, z3.Extract(7, 0, VL_OF))) xvar = (V_F == VX_OF) s.add(lvar != xvar) solve("OF", lvar, xvar, s) s.pop() ## =******= PF =******= s.push() lvar = (V_F == z3.Extract(0, 0, z3.Extract(7, 0, VL_PF))) xvar = (V_F == VX_PF) s.add(lvar != xvar) solve("PF", lvar, xvar, s) s.pop() ## =******= RAX =******= s.push() lvar = (V_R == z3.Concat(z3.Extract(63, 56, VL_RAX), z3.Extract(55, 48, VL_RAX), z3.Extract(47, 40, VL_RAX), z3.Extract(39, 32, VL_RAX), z3.Extract(31, 24, VL_RAX), z3.Extract(23, 16, VL_RAX), z3.Extract(15, 8, VL_RAX), z3.Extract(7, 0, VL_RAX))) xvar = (V_R == VX_RAX) s.add(lvar != xvar) solve("RAX", lvar, xvar, s) s.pop() ## =******= RBX =******= s.push() lvar = (V_R == z3.Concat(z3.Extract(63, 56, VL_RBX), z3.Extract(55, 48, VL_RBX), z3.Extract(47, 40, VL_RBX), z3.Extract(39, 32, VL_RBX), z3.Extract(31, 24, VL_RBX), z3.Extract(23, 16, VL_RBX), z3.Extract(15, 8, VL_RBX), z3.Extract(7, 0, (z3.Concat(z3.BitVecVal(0, 56), z3.Extract(15, 8, VL_RAX)) & z3.BitVecVal(256 - 1, 64))))) xvar = (V_R == z3.Concat(z3.Extract(63, 8, VX_RBX), z3.Extract(15, 8, VX_RAX))) s.add(lvar != xvar) solve("RBX", lvar, xvar, s) s.pop() ## =******= RCX =******= s.push() lvar = (V_R == z3.Concat(z3.Extract(63, 56, VL_RCX), z3.Extract(55, 48, VL_RCX), z3.Extract(47, 40, VL_RCX), z3.Extract(39, 32, VL_RCX), z3.Extract(31, 24, VL_RCX), z3.Extract(23, 16, VL_RCX), z3.Extract(15, 8, VL_RCX), z3.Extract(7, 0, VL_RCX))) xvar = (V_R == VX_RCX) s.add(lvar != xvar) solve("RCX", lvar, xvar, s) s.pop() ## =******= RDX =******= s.push() lvar = (V_R == z3.Concat(z3.Extract(63, 56, VL_RDX), z3.Extract(55, 48, VL_RDX), z3.Extract(47, 40, VL_RDX), z3.Extract(39, 32, VL_RDX), z3.Extract(31, 24, VL_RDX), z3.Extract(23, 16, VL_RDX), z3.Extract(15, 8, VL_RDX), z3.Extract(7, 0, VL_RDX))) xvar = (V_R == VX_RDX) s.add(lvar != xvar) solve("RDX", lvar, xvar, s) s.pop() ## =******= SF =******= s.push() lvar = (V_F == z3.Extract(0, 0, z3.Extract(7, 0, VL_SF))) xvar = (V_F == VX_SF) s.add(lvar != xvar) solve("SF", lvar, xvar, s) s.pop() ## =******= ZF =******= s.push() lvar = (V_F == z3.Extract(0, 0, z3.Extract(7, 0, VL_ZF))) xvar = (V_F == VX_ZF) s.add(lvar != xvar) solve("ZF", lvar, xvar, s) s.pop() if(status == True): print('[6;30;42m' + 'Test-Pass: ' + '[0m' + test_name) else: if(status == False): print('[0;30;41m' + 'Test-Fail: ' + '[0m' + test_name) else: print('[6;30;47m' + 'Test-Unk: ' + '[0m' + test_name)

[ "sdasgup3@illinois.edu" ]

sdasgup3@illinois.edu

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/Atividade 02 - semana 04/questão4_semana4_atividade02_runcodes.py

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SirLeonardoFerreira/Atividades-ifpi

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2023-01-05T04:03:30.774277

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def signo(dia, mes): if (21 <= dia <= 31 and mes == 3) or (1 <= dia <= 19 and mes == 4): return 'Áries' elif (20 <= dia <= 30 and mes == 4) or (1 <= dia <= 20 and mes == 5): return 'Touro' elif (21 <= dia <= 31 and mes == 5) or (1 <= dia <= 21 and mes == 6): return 'Gêmeos' elif (22 <= dia <= 30 and mes == 6) or (1 <= dia <= 22 and mes == 7): return 'Câncer' elif (23 <= dia <= 31 and mes == 7) or (1 <= dia <= 22 and mes == 8): return 'Leão' elif (23 <= dia <= 31 and mes == 8) or (1 <= dia <= 22 and mes == 9): return 'Virgem' elif (23 <= dia <= 30 and mes == 9) or (1 <= dia <= 22 and mes == 10): return 'Libra' elif (23 <= dia <= 31 and mes == 10) or (1 <= dia <= 21 and mes == 11): return 'Escorpião' elif (22 <= dia <= 30 and mes == 11) or (1 <= dia <= 21 and mes == 12): return 'Sagitário' elif (22 <= dia <= 31 and mes == 12) or (1 <= dia <= 19 and mes == 1): return 'Capricórnio' elif (20 <= dia <= 31 and mes == 1) or (1 <= dia <= 18 and mes == 2): return 'Aquário' elif (19 <= dia <= 29 and mes == 2) or (1 <= dia <= 20 and mes == 3): return 'Peixes' def main(): dia_nascimento = int(input()) mes_nascimento = int(input()) mensagem_signo = signo(dia_nascimento, mes_nascimento) print(f'{mensagem_signo}') if __name__=='__main__': main()

[ "lleoalves02@gmail.com" ]

lleoalves02@gmail.com

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/力扣习题/118杨辉三角/pascalstriangle.py

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refs/heads/master

2022-12-25T19:55:51.323740

2020-10-09T04:24:11

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class Solution: ''' 非递归算法 ''' def generate(self, numRows: int) -> [[]]: res = [] if numRows == 1: res.append([1]) elif numRows > 1: # res.append([1]) for k in range(0, numRows): item = [] for i in range(0, k + 1): if i == 0 or i == k: item.append(1) else: item.append(res[-1][i - 1] + res[-1][i]) res.append(item[:]) item.clear() return res s = Solution() print(s.generate(5)) class Solution2: ''' 递归算法 ''' def generate(self, numRows: int) -> [[]]: if numRows == 0: return [] elif numRows == 1: return [[1]] else: item = [] res = self.generate(numRows - 1) item.append(1) for i in range(1, numRows - 1): item.append(res[-1][i - 1] + res[-1][i]) item.append(1) res.append(item) return res class Solution3: ''' 满脑子骚操作 ''' def generate(self, numRows: int) -> [[]]: res = [ [1], [1,1], [1,2,1], [1,3,3,1], [1,4,6,4,1], [1,5,10,10,5,1], [1,6,15,20,15,6,1], [1,7,21,35,35,21,7,1], [1,8,28,56,70,56,28,8,1], [1,9,36,84,126,126,84,36,9,1], [1,10,45,120,210,252,210,120,45,10,1], [1,11,55,165,330,462,462,330,165,55,11,1], [1,12,66,220,495,792,924,792,495,220,66,12,1], [1,13,78,286,715,1287,1716,1716,1287,715,286,78,13,1], [1,14,91,364,1001,2002,3003,3432,3003,2002,1001,364,91,14,1], [1,15,105,455,1365,3003,5005,6435,6435,5005,3003,1365,455,105,15,1], [1,16,120,560,1820,4368,8008,11440,12870,11440,8008,4368,1820,560,120,16,1], [1,17,136,680,2380,6188,12376,19448,24310,24310,19448,12376,6188,2380,680,136,17,1], [1,18,153,816,3060,8568,18564,31824,43758,48620,43758,31824,18564,8568,3060,816,153,18,1], [1,19,171,969,3876,11628,27132,50388,75582,92378,92378,75582,50388,27132,11628,3876,969,171,19,1], [1,20,190,1140,4845,15504,38760,77520,125970,167960,184756,167960,125970,77520,38760,15504,4845,1140,190,20,1], [1,21,210,1330,5985,20349,54264,116280,203490,293930,352716,352716,293930,203490,116280,54264,20349,5985,1330,210,21,1], [1,22,231,1540,7315,26334,74613,170544,319770,497420,646646,705432,646646,497420,319770,170544,74613,26334,7315,1540,231,22,1], [1,23,253,1771,8855,33649,100947,245157,490314,817190,1144066,1352078,1352078,1144066,817190,490314,245157,100947,33649,8855,1771,253,23,1], [1,24,276,2024,10626,42504,134596,346104,735471,1307504,1961256,2496144,2704156,2496144,1961256,1307504,735471,346104,134596,42504,10626,2024,276,24,1], [1,25,300,2300,12650,53130,177100,480700,1081575,2042975,3268760,4457400,5200300,5200300,4457400,3268760,2042975,1081575,480700,177100,53130,12650,2300,300,25,1], [1,26,325,2600,14950,65780,230230,657800,1562275,3124550,5311735,7726160,9657700,10400600,9657700,7726160,5311735,3124550,1562275,657800,230230,65780,14950,2600,325,26,1], [1,27,351,2925,17550,80730,296010,888030,2220075,4686825,8436285,13037895,17383860,20058300,20058300,17383860,13037895,8436285,4686825,2220075,888030,296010,80730,17550,2925,351,27,1], [1,28,378,3276,20475,98280,376740,1184040,3108105,6906900,13123110,21474180,30421755,37442160,40116600,37442160,30421755,21474180,13123110,6906900,3108105,1184040,376740,98280,20475,3276,378,28,1], [1,29,406,3654,23751,118755,475020,1560780,4292145,10015005,20030010,34597290,51895935,67863915,77558760,77558760,67863915,51895935,34597290,20030010,10015005,4292145,1560780,475020,118755,23751,3654,406,29,1] ] return res[0:numRows]

[ "ab2defg145@gmail.com" ]

ab2defg145@gmail.com

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/1299_Replace_Elements_with_Greatest_Element_on_Right_Side/solution.py

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benjaminhuanghuang/ben-leetcode

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2022-12-10T02:30:06.744566

2022-11-27T04:06:52

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''' 1299. Replace Elements with Greatest Element on Right Side Level: Easy https://leetcode.com/problems/replace-elements-with-greatest-element-on-right-side ''' ''' Solution: ''' class Solution: def replaceElements(self, arr: List[int]) -> List[int]:

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bhuang@rms.com

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/Live 10.1.18/ATOM/channel_strip.py

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[]

no_license

notelba/midi-remote-scripts

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2020-10-04T00:00:12

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# uncompyle6 version 3.7.4 # Python bytecode 2.7 (62211) # Decompiled from: Python 3.8.5 (default, Aug 12 2020, 00:00:00) # [GCC 10.2.1 20200723 (Red Hat 10.2.1-1)] # Embedded file name: c:\Jenkins\live\output\Live\win_64_static\Release\python-bundle\MIDI Remote Scripts\ATOM\channel_strip.py # Compiled at: 2020-05-05 13:23:28 from __future__ import absolute_import, print_function, unicode_literals from ableton.v2.base import liveobj_valid from ableton.v2.control_surface.components import ChannelStripComponent as ChannelStripComponentBase class ChannelStripComponent(ChannelStripComponentBase): empty_color = b'Mixer.EmptyTrack' def _update_select_button(self): if liveobj_valid(self._track) and self.song.view.selected_track == self._track: self.select_button.color = b'Mixer.Selected' else: self.select_button.color = b'DefaultButton.Off' # okay decompiling /home/deniz/data/projects/midiremote/Live 10.1.18/ATOM/channel_strip.pyc

[ "notelba@example.com" ]

notelba@example.com

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/build/geometry-hydro-devel/tf/catkin_generated/pkg.installspace.context.pc.py

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no_license

prathyusha-shine/abhiyan1.0

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refs/heads/master

2020-12-31T01:23:32.911145

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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/sudha/catkin_ws/install/include".split(';') if "/home/sudha/catkin_ws/install/include" != "" else [] PROJECT_CATKIN_DEPENDS = "geometry_msgs;message_filters;message_runtime;roscpp;sensor_msgs;std_msgs;tf2_ros;rosconsole".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "-ltf".split(';') if "-ltf" != "" else [] PROJECT_NAME = "tf" PROJECT_SPACE_DIR = "/home/sudha/catkin_ws/install" PROJECT_VERSION = "1.10.8"

[ "sudha@sudha.(none)" ]

sudha@sudha.(none)

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/test/test_all_fault_handlers.py

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farisachugthai/dynamic_ipython

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refs/heads/master

2022-11-05T11:48:48.344585

2021-08-28T04:25:05

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MIT

2022-10-25T10:16:39

2019-04-01T04:35:37

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#!/usr/bin/env python3 import os import shutil import tempfile import unittest from os.path import abspath, realpath, isfile, exists import pytest from IPython.testing.globalipapp import get_ipython from default_profile.startup.all_fault_handlers import tempdir, in_tempdir, in_dir def remove_tmpdir(dir): try: shutil.rmtree(dir) except (NotADirectoryError, FileNotFoundError, OSError): pass except PermissionError: raise @pytest.fixture def cwd(): return os.path.abspath(os.path.curdir) class FixturesTest(unittest.TestCase): def setUp(self): # unittest's version of the tmpdir fixture self.tmpdir = tempfile.mkdtemp() self.addCleanup(remove_tmpdir, self.tmpdir) # def test_rehashx_does_not_raise(self): # are you allowed to do this? # would something like this work # with self.assertRaises(None): # Wait this isn't a context manager??? hold the fuck up. # with not self.assertRaises(Exception): # get_ipython().run_line_magic('rehashx') def test_tempdir(): with tempdir() as tmpdir: fname = os.path.join(tmpdir, 'example_file.txt') with open(fname, 'wt') as fobj: fobj.write('a string\\n') assert not exists(tmpdir) def test_in_tempdir(cwd): with in_tempdir() as tmpdir: with open('test.txt', 'wt') as f: f.write('some text') assert isfile('test.txt') assert isfile(os.path.join(tmpdir, 'test.txt')) assert not exists(tmpdir) def test_given_directory(cwd): # Test InGivenDirectory with in_dir(cwd) as tmpdir: assert tmpdir == abspath(cwd) with in_dir(cwd) as tmpdir: assert tmpdir == cwd if __name__ == "__main__": unittest.main()

[ "farischugthai@gmail.com" ]

farischugthai@gmail.com

aba1fe1222e36f72353fd0c6c5a21047cc2cedee

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/Python_codes/p03212/s618244450.py

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[]

no_license

Aasthaengg/IBMdataset

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refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

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py

N = input() L=len(N) from itertools import product check_num=[3,5,7] check=[] for l in range(1,L+1): for p in product(range(3),repeat=l): c='' for p_ in p: c+=str(check_num[p_]) if len(set(c))==3 and int(c)<=int(N): check.append(int(c)) print(len(check))

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

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/marqeta/response_models/digital_wallet_token_hash.py

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[ "MIT" ]

permissive

andyw8/marqeta-python

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refs/heads/master

2020-05-20T14:25:39.398668

2019-04-01T23:53:55

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from datetime import datetime, date import json class DigitalWalletTokenHash(object): def __init__(self, json_response): self.json_response = json_response def __str__(self): return json.dumps(self.json_response, default=self.json_serial) @staticmethod def json_serial(o): if isinstance(o, datetime) or isinstance(o, date): return o.__str__() @property def token(self): return self.json_response.get('token', None) def __repr__(self): return '<Marqeta.response_models.digital_wallet_token_hash.DigitalWalletTokenHash>' + self.__str__()

[ "amaratkere@marqeta.com" ]

amaratkere@marqeta.com

c167c5819bfa452fa8fdba057ff142fbdbde00fe

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/090_logging/examples/nuke/34-python_in_production-logging_to_a_qt_widget/logger.py

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[]

no_license

syurskyi/Python_Topics

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refs/heads/master

2023-06-08T19:29:16.214395

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import logging import sys class Logger(object): LOGGER_NAME = "Zurbrigg" FORMAT_DEFAULT = "[%(name)s][%(levelname)s] %(message)s" LEVEL_DEFAULT = logging.DEBUG PROPAGATE_DEFAULT = True _logger_obj = None @classmethod def logger_obj(cls): if not cls._logger_obj: if cls.logger_exists(): cls._logger_obj = logging.getLogger(cls.LOGGER_NAME) else: cls._logger_obj = logging.getLogger(cls.LOGGER_NAME) cls._logger_obj.setLevel(cls.LEVEL_DEFAULT) cls._logger_obj.propagate = cls.PROPAGATE_DEFAULT fmt = logging.Formatter(cls.FORMAT_DEFAULT) stream_handler = logging.StreamHandler(sys.stderr) stream_handler.setFormatter(fmt) cls._logger_obj.addHandler(stream_handler) return cls._logger_obj @classmethod def logger_exists(cls): return cls.LOGGER_NAME in logging.Logger.manager.loggerDict.keys() @classmethod def set_level(cls, level): lg = cls.logger_obj() lg.setLevel(level) @classmethod def set_propagate(cls, propagate): lg = cls.logger_obj() lg.propagate = propagate @classmethod def debug(cls, msg, *args, **kwargs): lg = cls.logger_obj() lg.debug(msg, *args, **kwargs) @classmethod def info(cls, msg, *args, **kwargs): lg = cls.logger_obj() lg.info(msg, *args, **kwargs) @classmethod def warning(cls, msg, *args, **kwargs): lg = cls.logger_obj() lg.warning(msg, *args, **kwargs) @classmethod def error(cls, msg, *args, **kwargs): lg = cls.logger_obj() lg.error(msg, *args, **kwargs) @classmethod def critical(cls, msg, *args, **kwargs): lg = cls.logger_obj() lg.critical(msg, *args, **kwargs) @classmethod def log(cls, level, msg, *args, **kwargs): lg = cls.logger_obj() lg.log(level, msg, *args, **kwargs) @classmethod def exception(cls, msg, *args, **kwargs): lg = cls.logger_obj() lg.exception(msg, *args, **kwargs) @classmethod def write_to_file(cls, path, level=logging.WARNING): file_handler = logging.FileHandler(path) file_handler.setLevel(level) fmt = logging.Formatter("[%(asctime)s][%(levelname)s] %(message)s") file_handler.setFormatter(fmt) lg = cls.logger_obj() lg.addHandler(file_handler) if __name__ == "__main__": Logger.set_propagate(False) Logger.debug("debug message") Logger.info("info message") Logger.warning("warning message") Logger.error("error message") Logger.critical("critical message")

[ "sergejyurskyj@yahoo.com" ]

sergejyurskyj@yahoo.com

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/bitmovin/resources/models/manifests/dash/audio_adaptation_set.py

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[ "Unlicense" ]

permissive

bitmovin/bitmovin-python

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refs/heads/master

2023-07-11T02:40:59.277881

2020-01-28T14:49:15

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Unlicense

2019-12-17T13:59:51

2016-11-04T15:01:56

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from .abstract_adaptation_set import AbstractAdaptationSet class AudioAdaptationSet(AbstractAdaptationSet): def __init__(self, lang, id_=None, custom_data=None): super().__init__(id_=id_, custom_data=custom_data) self.lang = lang @classmethod def parse_from_json_object(cls, json_object): adaptation_set = AbstractAdaptationSet.parse_from_json_object(json_object=json_object) id_ = adaptation_set.id custom_data = adaptation_set.customData lang = json_object['lang'] audio_adaptation_set = AudioAdaptationSet(id_=id_, custom_data=custom_data, lang=lang) return audio_adaptation_set

[ "dominic.miglar@netunix.at" ]

dominic.miglar@netunix.at

3712937801b4655d2f06e615f42f6119be1d0be2

d9e5f868392cc846a14577e2578332dd389766a5

/ex13.py

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[]

no_license

quanlidavid/Learn_Python_the_Hard_Way

8d8d9c9906d1e6b0de1a1dae78fbf4fd150c466c

bc591552efbeb2db588c831bf5280cbe21e11246

refs/heads/master

2021-05-16T11:18:13.171264

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UTF-8

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from sys import argv script, frist, second, third = argv print("The script is called:", script) print("Your first variable is:", frist) print("Your second variable is:", second) print("Your third variable is:", third) list1=['aa','bb'] a,b=list1 print(a,b)

[ "quanlidavid@gmail.com" ]

quanlidavid@gmail.com

e27cf93f24bc53f6f16fd551ed429b1aca98d4d2

480bee2fee71fa5f91fcece256918795adfb3eda

/detector/model.py

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[]

no_license

favyen/skyquery

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refs/heads/master

2023-08-22T17:48:08.697538

2021-09-27T02:14:52

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import numpy import tensorflow as tf import os import os.path import random import math import time from PIL import Image BATCH_SIZE = 4 KERNEL_SIZE = 3 class Model: def _conv_layer(self, name, input_var, stride, in_channels, out_channels, options = {}): activation = options.get('activation', 'relu') dropout = options.get('dropout', None) padding = options.get('padding', 'SAME') batchnorm = options.get('batchnorm', False) transpose = options.get('transpose', False) with tf.variable_scope(name) as scope: if not transpose: filter_shape = [KERNEL_SIZE, KERNEL_SIZE, in_channels, out_channels] else: filter_shape = [KERNEL_SIZE, KERNEL_SIZE, out_channels, in_channels] kernel = tf.get_variable( 'weights', shape=filter_shape, initializer=tf.truncated_normal_initializer(stddev=math.sqrt(2.0 / KERNEL_SIZE / KERNEL_SIZE / in_channels)), dtype=tf.float32 ) biases = tf.get_variable( 'biases', shape=[out_channels], initializer=tf.constant_initializer(0.0), dtype=tf.float32 ) if not transpose: output = tf.nn.bias_add( tf.nn.conv2d( input_var, kernel, [1, stride, stride, 1], padding=padding ), biases ) else: batch = tf.shape(input_var)[0] side = tf.shape(input_var)[1] output = tf.nn.bias_add( tf.nn.conv2d_transpose( input_var, kernel, [batch, side * stride, side * stride, out_channels], [1, stride, stride, 1], padding=padding ), biases ) if batchnorm: output = tf.contrib.layers.batch_norm(output, center=True, scale=True, is_training=self.is_training, decay=0.99) if dropout is not None: output = tf.nn.dropout(output, keep_prob=1-dropout) if activation == 'relu': return tf.nn.relu(output, name=scope.name) elif activation == 'sigmoid': return tf.nn.sigmoid(output, name=scope.name) elif activation == 'none': return output else: raise Exception('invalid activation {} specified'.format(activation)) def _fc_layer(self, name, input_var, input_size, output_size, options = {}): activation = options.get('activation', 'relu') dropout = options.get('dropout', None) batchnorm = options.get('batchnorm', False) with tf.variable_scope(name) as scope: weights = tf.get_variable( 'weights', shape=[input_size, output_size], initializer=tf.truncated_normal_initializer(stddev=math.sqrt(2.0 / input_size)), dtype=tf.float32 ) biases = tf.get_variable( 'biases', shape=[output_size], initializer=tf.constant_initializer(0.0), dtype=tf.float32 ) output = tf.matmul(input_var, weights) + biases if batchnorm: output = tf.contrib.layers.batch_norm(output, center=True, scale=True, is_training=self.is_training, decay=0.99) if dropout is not None: output = tf.nn.dropout(output, keep_prob=1-dropout) if activation == 'relu': return tf.nn.relu(output, name=scope.name) elif activation == 'sigmoid': return tf.nn.sigmoid(output, name=scope.name) elif activation == 'none': return output else: raise Exception('invalid activation {} specified'.format(activation)) def __init__(self, bn=False, size=(512, 512), input_channels=6): tf.reset_default_graph() self.is_training = tf.placeholder(tf.bool) self.inputs = tf.placeholder(tf.uint8, [None, size[0], size[1], input_channels]) self.float_inputs = tf.cast(self.inputs, tf.float32)/255.0# + tf.random.normal(tf.shape(self.inputs), stddev=0.04)*tf.cast(self.is_training, tf.float32) self.targets = tf.placeholder(tf.float32, [None, size[0]/4, size[1]/4]) self.masks = tf.placeholder(tf.float32, [None, size[0]/4, size[1]/4]) self.learning_rate = tf.placeholder(tf.float32) # layers self.layer1 = self._conv_layer('layer1', self.float_inputs, 2, input_channels, 32, {'batchnorm': False}) # -> 256x256x32 self.layer2 = self._conv_layer('layer2', self.layer1, 2, 32, 64, {'batchnorm': bn}) # -> 128x128x64 self.layer3 = self._conv_layer('layer3', self.layer2, 2, 64, 64, {'batchnorm': bn}) # -> 64x64x64 self.layer4 = self._conv_layer('layer4', self.layer3, 2, 64, 64, {'batchnorm': bn}) # -> 32x32x64 self.layer5 = self._conv_layer('layer5', self.layer4, 1, 64, 64, {'batchnorm': bn}) # -> 32x32x64 self.layer6 = self._conv_layer('layer6', self.layer5, 2, 64, 64, {'batchnorm': bn, 'transpose': True}) # -> 64x64x64 self.layer7 = self._conv_layer('layer7', self.layer6, 2, 64, 64, {'batchnorm': bn, 'transpose': True}) # -> 128x128x64 #self.layer7 = tf.concat([self.layer2, tf.image.resize(self.layer5, [128, 128], method=tf.image.ResizeMethod.NEAREST_NEIGHBOR)], axis=3) self.pre_outputs = self._conv_layer('pre_outputs', self.layer7, 1, 64, 1, {'activation': 'none', 'batchnorm': False})[:, :, :, 0] # -> 128x128x1 self.outputs = tf.nn.sigmoid(self.pre_outputs) self.loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(labels=self.targets, logits=self.pre_outputs) * self.masks) with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)): self.optimizer = tf.train.AdamOptimizer(learning_rate=self.learning_rate).minimize(self.loss) self.init_op = tf.initialize_all_variables() self.saver = tf.train.Saver(max_to_keep=None)

[ "fbastani@perennate.com" ]

fbastani@perennate.com

fe6aa27d544a7bc06532e7cb5bfad0801c9b1eba

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/docs/examples/pool.py

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permissive

AraHaan/aioredis

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19be499015a8cf32580e937cbfd711fd48489eca

refs/heads/master

2023-03-17T03:16:46.281210

2022-02-22T14:33:33

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0

MIT

2023-03-07T15:57:29

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import asyncio import aioredis async def main(): redis = aioredis.from_url("redis://localhost", max_connections=10) await redis.execute_command("set", "my-key", "value") val = await redis.execute_command("get", "my-key") print("raw value:", val) async def main_pool(): pool = aioredis.ConnectionPool.from_url("redis://localhost", max_connections=10) redis = aioredis.Redis(connection_pool=pool) await redis.execute_command("set", "my-key", "value") val = await redis.execute_command("get", "my-key") print("raw value:", val) if __name__ == "__main__": asyncio.run(main()) asyncio.run(main_pool())

[ "sean_stewart@me.com" ]

sean_stewart@me.com

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/data/zh50w/zh50w_process.py

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zhongerqiandan/OpenDialog

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refs/heads/master

2023-01-22T09:07:54.385604

2020-12-04T02:00:17

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MIT

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import csv import random from tqdm import tqdm import ipdb import sys import pickle sys.path.append('..') from utils import read_stop_words from collections import Counter from gensim.summarization import bm25 from elasticsearch import Elasticsearch ''' TODO 1. adding the reesponses into elasticsearch for q-r match ''' class ESUtils: def __init__(self, index_name, create_index=False): self.es = Elasticsearch() self.index = index_name if create_index: mapping = { 'properties': { 'context': { 'type': 'text', 'analyzer': 'ik_max_word', 'search_analyzer': 'ik_max_word' } } } if self.es.indices.exists(index=self.index): self.es.indices.delete(index=self.index) rest = self.es.indices.create(index=self.index) print(rest) rest = self.es.indices.put_mapping(body=mapping, index=self.index) print(rest) def insert_pairs(self, pairs): count = self.es.count(index=self.index)['count'] print(f'[!] begin of the idx: {count}') for i, qa in enumerate(tqdm(pairs)): data = { 'context': qa[0], 'response': qa[1] } self.es.index(index=self.index, body=data) print(f'[!] insert data over, whole size: {self.es.count(index=self.index)["count"]}') class ESChat: def __init__(self, index_name): self.es = Elasticsearch() self.index = index_name def search(self, query, samples=10): dsl = { 'query': { 'match': { 'context': query } } } hits = self.es.search(index=self.index, body=dsl, size=samples)['hits']['hits'] rest = [] for h in hits: rest.append({'score': h['_score'], 'context': h['_source']['context'], 'response': h['_source']['response'] }) return rest def chat(self): sentence = input('You are speaking: ').strip() while sentence: if sentence == 'exit': break rest = self.search(sentence) for idx, i in enumerate(rest): print(f'ESChat({idx}/{len(rest)}): {i["response"]}') sentence = input('You are speaking: ').strip() def read_file(path): with open(path) as f: data = f.read() dialogs = data.split('\n\n') dialogs = [dialog.split('\n') for dialog in dialogs if dialog.strip()] random.shuffle(dialogs) return dialogs def write_file(dialogs, mode='train', samples=10): chatbot = ESChat('retrieval_chatbot') with open(f'{mode}.csv', 'w') as f: f = csv.writer(f) f.writerow(['Context', 'Response'] + [f'Retrieval_{i+1}' for i in range(samples)]) # f.writerow(['Context', 'Response']) error_counter = 0 responses = [i[1] for i in dialogs] for dialog in tqdm(dialogs): rest = [i['response'] for i in chatbot.search(dialog[0], samples=samples+1)] if dialog[1] in rest: rest.remove(dialog[1]) dialog = list(dialog) + rest if len(dialog) != samples + 2: error_counter += 1 dialog.extend(random.sample(responses, samples+3-len(dialog))) # assert len(dialog) == samples + 2, f'{len(dialog)} retrieval utterances are obtained' f.writerow(dialog[:samples+2]) print(f'[!] finish writing the file {mode}.csv, error counter: {error_counter}') def process_data(dialogs, samples=10, max_len=10, max_utter_len=50): data = [] for dialog in tqdm(dialogs): # dialog = [' '.join(list(jieba.cut(i))) for i in dialog] context, response = dialog[-(max_len+1):-1], dialog[-1] context = [i[-max_utter_len:] for i in context] context = ' <eou> '.join(context) data.append((context, response)) return data def retrieval_model(): chatbot = ESChat('retrieval_chatbot') print(f'[!] load retrieval model from ElasticSearch, default 10 replys.') return chatbot if __name__ == "__main__": import sys if sys.argv[1] == 'process': data = read_file('train.txt') whole_size = len(data) train_size = (0, int(0.95 * whole_size)) dev_size = (train_size[1], train_size[1] + int(0.025 * whole_size)) test_size = (dev_size[1], whole_size) print(f'data size: train({train_size[1]-train_size[0]}); dev({dev_size[1]-dev_size[0]}); test({test_size[1]-test_size[0]})') train_data = data[train_size[0]:train_size[1]] dev_data = data[dev_size[0]:dev_size[1]] test_data = data[test_size[0]:test_size[1]] train_data = process_data(train_data) dev_data = process_data(dev_data) test_data = process_data(test_data) # write file write_file(train_data, mode='train') write_file(dev_data, mode='dev') write_file(test_data, mode='test') else: # test elasticsearch # data = read_file('zh50w/train.txt') # pairs = [(' . '.join(i[:-1]), i[-1]) for i in data] # ut = ESUtils('retrieval_chatbot', create_index=True) # ut.insert_pairs(pairs) chatbot = ESChat('retrieval_chatbot') chatbot.chat()

[ "18811371908@163.com" ]

18811371908@163.com

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/django_states/main/migrations/0006_auto__add_field_statecapital_state__chg_field_statecapital_latitude__c.py

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[]

no_license

Bofahda/states

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refs/heads/master

2020-12-24T16:58:56.789855

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# -*- coding: utf-8 -*- from south.utils import datetime_utils as datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding field 'StateCapital.state' db.add_column(u'main_statecapital', 'state', self.gf('django.db.models.fields.related.OneToOneField')(to=orm['main.State'], unique=True, null=True), keep_default=False) # Changing field 'StateCapital.latitude' db.alter_column(u'main_statecapital', 'latitude', self.gf('django.db.models.fields.FloatField')(null=True)) # Changing field 'StateCapital.longitude' db.alter_column(u'main_statecapital', 'longitude', self.gf('django.db.models.fields.FloatField')(null=True)) # Changing field 'StateCapital.population' db.alter_column(u'main_statecapital', 'population', self.gf('django.db.models.fields.IntegerField')(null=True)) def backwards(self, orm): # Deleting field 'StateCapital.state' db.delete_column(u'main_statecapital', 'state_id') # Changing field 'StateCapital.latitude' db.alter_column(u'main_statecapital', 'latitude', self.gf('django.db.models.fields.FloatField')(default=1)) # Changing field 'StateCapital.longitude' db.alter_column(u'main_statecapital', 'longitude', self.gf('django.db.models.fields.FloatField')(default=1)) # Changing field 'StateCapital.population' db.alter_column(u'main_statecapital', 'population', self.gf('django.db.models.fields.IntegerField')(default=1)) models = { u'main.state': { 'Meta': {'object_name': 'State'}, 'abbreviation': ('django.db.models.fields.CharField', [], {'max_length': '2'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}) }, u'main.statecapital': { 'Meta': {'object_name': 'StateCapital'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'latitude': ('django.db.models.fields.FloatField', [], {'null': 'True'}), 'longitude': ('django.db.models.fields.FloatField', [], {'null': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'}), 'population': ('django.db.models.fields.IntegerField', [], {'null': 'True'}), 'state': ('django.db.models.fields.related.OneToOneField', [], {'to': u"orm['main.State']", 'unique': 'True', 'null': 'True'}) } } complete_apps = ['main']

[ "user@Users-MacBook-Air.local" ]

user@Users-MacBook-Air.local

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/accounts/signals.py

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[ "MIT" ]

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fagrimacs/fagrimacs_production

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refs/heads/master

2022-12-23T22:08:27.768479

2020-09-24T10:10:35

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MIT

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2020-09-14T05:44:21

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from django.db.models.signals import pre_save from django.dispatch import receiver from .models import UserProfile @receiver(pre_save, sender=UserProfile) def delete_prev_profile_pic(sender, instance, **kwargs): if instance.pk: try: prev_profile = UserProfile.objects.get( pk=instance.pk).profile_pic except UserProfile.DoesNotExist: return else: new_profile = instance.profile_pic if prev_profile and prev_profile.url != new_profile.url: if prev_profile != 'profile_pics/user.png': prev_profile.delete(save=False)

[ "zendainnocent@gmail.com" ]

zendainnocent@gmail.com

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/Day01-15/code/Day07/dict2.py

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[]

no_license

Focavn/Python-100-Days

c7586ecf7ae3f1fd42f024558bb998be23ee9df8

d8de6307aeff9fe31fd752bd7725b9cc3fbc084b

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""" 字典的常用操作 Version: 0.1 Author: 骆昊 Date: 2018-03-06 """ def main(): stu = {'name': '骆昊', 'age': 38, 'gender': True} print(stu) print(stu.keys()) print(stu.values()) print(stu.items()) for elem in stu.items(): print(elem) print(elem[0], elem[1]) if 'age' in stu: stu['age'] = 20 print(stu) stu.setdefault('score', 60) print(stu) stu.setdefault('score', 100) print(stu) stu['score'] = 100 print(stu) if __name__ == '__main__': main()

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- import socket import urllib.request import logging import json #import base64 import binascii import sys import time # A UDP server # Set up a UDP server UDPSock = socket.socket(socket.AF_INET,socket.SOCK_DGRAM) # Listen on port 21567 # (to all IP addresses on this system) listen_addr = ("",8080) UDPSock.bind(listen_addr) debugPrint = False urlHeadString = "http://data.sunplusit.com/Api/DoorRFIDInfo?code=83E4621643F7B2E148257244000655E3&rfid=" #----------------------------------------- #logging記錄 logger = logging.getLogger('msg') hdlr = logging.FileHandler('/home/chtseng/rfidDoor/msg.log') formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s') hdlr.setFormatter(formatter) logger.addHandler(hdlr) logger.setLevel(logging.INFO) def is_json(myjson): try: json_object = json.loads(myjson) except ValueError: return False return True while True: data,addr = UDPSock.recvfrom(1024) #tmpTAGS, tmpTIMES = scanTAGS(binascii.b2a_hex(data).decode('ascii')) readHEX = binascii.b2a_hex(data).decode('ascii') logger.info('Received rfid:' + readHEX) if(debugPrint==True): print (readHEX) try: webReply = urllib.request.urlopen(urlHeadString + readHEX).read() webReply = webReply.decode('utf-8').rstrip() logger.info('webReply: {}'.format(webReply)) if(debugPrint==True): print('webReply: {}'.format(webReply)) print(urlHeadString + readHEX) print("webReply:" + webReply) # listTAGs = webReply.split("") except Exception: print("Unexpected error:", sys.exc_info()[0]) logger.info('Unexpected error:' + str(sys.exc_info()[0])) webReply = "[]" pass if(is_json(webReply)==True): jsonReply = json.loads(webReply) if(debugPrint==True): print (jsonReply) #time.sleep(1)

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def hey(phrase): phrase = phrase.strip() if len(phrase) == 0: return 'Fine. Be that way!' elif phrase.isupper(): return 'Whoa, chill out!' elif phrase.endswith('?') : return 'Sure.' else: return 'Whatever.'

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# Copyright (c) 2016-2017 Renata Hodovan, Akos Kiss. # # Licensed under the BSD 3-Clause License # <LICENSE.rst or https://opensource.org/licenses/BSD-3-Clause>. # This file may not be copied, modified, or distributed except # according to those terms. import inspect import os from fuzzinator.listener import EventListener class TuiListener(EventListener): def __init__(self, pipe, events, lock): for fn, _ in inspect.getmembers(EventListener, predicate=inspect.isfunction): setattr(self, fn, self.Trampoline(name=fn, pipe=pipe, events=events, lock=lock)) class Trampoline(object): def __init__(self, name, pipe, events, lock): self.name = name self.pipe = pipe self.events = events self.lock = lock def __call__(self, **kwargs): with self.lock: try: self.events.put_nowait({'fn': self.name, 'kwargs': kwargs}) os.write(self.pipe, b'x') except: pass

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from django import forms from django import forms from .models import OrderItem class AddCartForm(forms.ModelForm): class Meta: model = OrderItem fields = ['quantity']

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# Directory Traversal import os USER = os.getlogin() USED_PATH = '/home/rzlatkov/Softuni/Advanced/File_Handling/' # first level traverse only ROOT_PATH = './' # traverse everything REPORT_PATH_WINDOWS = f'C:\\Users\\{USER}\\Desktop\\report.txt' # for Win users REPORT_PATH_LINUX = f'/home/{USER}/Desktop/report.txt' # I am coding on a Linux (Manjaro) def traverse(path): dictionary_of_files = {} path = os.walk(path) for _,_, files in path: for f in files: extension = f[f.index('.'):] if not extension in dictionary_of_files: dictionary_of_files[extension] = [] dictionary_of_files[extension].append(f) return dictionary_of_files def sort_extensions(dictionary_of_files): return dict(sorted(dictionary_of_files.items(), key=lambda x: x[0])) def sort_filenames(dictionary_list_values): return sorted(dictionary_list_values, key=lambda x: x) def write_to_report(result, report_path): with open(report_path, 'w') as writer: for ext, fnames in result.items(): writer.write(ext + '\n') sorted_fnames = sort_filenames(fnames) for f in sorted_fnames: writer.write(f"- - - {f}\n") files = traverse(USED_PATH) sorted_ext = sort_extensions(files) write_to_report(sorted_ext, REPORT_PATH_LINUX)

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/website/members/management/commands/generate_member_invoices.py

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import datetime import os from django.conf import settings from django.core.mail import EmailMessage from django.core.management.base import BaseCommand from django.db.models import Max from members import logic from members.models import Quota, Person, Payment, Member, PaymentStrategy from . import _afip, _gdrive INVOICES_FROM = '2018-08-01 00:00+03' GMTminus3 = datetime.timezone(datetime.timedelta(hours=-3)) # mail stuff MAIL_SUBJECT = "Factura por pago de cuota(s) a la Asociación Civil Python Argentina" MAIL_TEXT = """\ Hola! Adjunta va la factura por el pago hecho en fecha {payment_date:%Y-%m-%d}. ¡Gracias! Saludos, -- . Lalita . Asociación Civil Python Argentina http://ac.python.org.ar/ (claro, este mail es automático, soy une bot, pero contestá el mail sin problemas que le va a llegar al humane correspondiente) """ PDF_MIMETYPE = 'application/pdf' def _send_mail(payment_date, recipient, attach_path): text = MAIL_TEXT.format(payment_date=payment_date) mail = EmailMessage(MAIL_SUBJECT, text, settings.EMAIL_FROM, [recipient]) filename = os.path.basename(attach_path) with open(attach_path, "rb") as fh: attach_content = fh.read() mail.attach(filename, attach_content, PDF_MIMETYPE) mail.send() class Command(BaseCommand): help = "Generate the missing invoices" def add_arguments(self, parser): parser.add_argument('--limit', type=int, nargs='?', default=1) parser.add_argument( '--invoice-date', type=str, nargs='?', help="Invoice date (%Y-%m-%d), forces limit=1") def handle(self, *args, **options): limit = options['limit'] invoice_date = options['invoice_date'] if invoice_date is None: invoice_date = datetime.date.today() else: invoice_date = datetime.datetime.strptime(invoice_date, "%Y-%m-%d").date() limit = 1 print("Forcing invoice date to {} (also limit=1)".format(invoice_date)) records = [] # check AFIP _afip.verify_service() # get the greatest invoice number used (once, will keep updated later) _max_invoice_number_query = Payment.objects.aggregate(Max('invoice_number')) max_invoice_number = _max_invoice_number_query['invoice_number__max'] print("Found max invoice number {}".format(max_invoice_number)) # get payments after we started automatically that still have no invoice generated payments_per_invoice = {} persons_per_invoice = {} payments = ( Payment.objects.filter(timestamp__gte=INVOICES_FROM, invoice_ok=False) .exclude(strategy__platform=PaymentStrategy.CREDIT) .order_by('timestamp', 'pk').all() ) print("Found {} payments to process".format(len(payments))) if len(payments) > limit: payments = payments[:limit] print(" truncating to {}".format(limit)) for payment in payments: print("Generating invoice for payment", payment) record = { 'invoice_date': invoice_date, } records.append(record) # get the related member (if None, or multiple, still not supported!) _members = Member.objects.filter(patron=payment.strategy.patron).all() assert len(_members) == 1, "multiple or no members for the patron is not supported" member = _members[0] # only process payments for normal members (benefactor members get invoices done # by hand) person = member.entity if isinstance(person, Person): print(" person found", person) else: print(" IGNORING payment, member {} is not a person: {}".format(member, person)) continue # if payment still doesn't have a number, add one to latest and save; # in any case, use it if not payment.invoice_number: max_invoice_number += 1 payment.invoice_number = max_invoice_number payment.invoice_spoint = settings.AFIP['selling_point'] payment.save() print(" using new invoice number", payment.invoice_number) else: print(" using already stored invoice number", payment.invoice_number) assert payment.invoice_spoint == settings.AFIP['selling_point'] payments_per_invoice[payment.invoice_number] = payment record['invoice'] = payment.invoice_number # we bill one item, for the whole amount: "3 quotas for $300", instead of billing # 3 x "1 quota for $100", which would be problematic if the paid amount is # not exactly 300 record['amount'] = payment.amount record['quantity'] = 1 # get all billing data from the person persons_per_invoice[payment.invoice_number] = person record['dni'] = person.document_number record['fullname'] = person.full_name record['address'] = person.street_address record['city'] = person.city record['zip_code'] = person.zip_code record['province'] = person.province tstamp_argentina = payment.timestamp.astimezone(GMTminus3) record['payment_comment'] = "Pago via {} ({:%Y-%m-%d %H:%M})".format( payment.strategy.platform_name, tstamp_argentina) # get quotas for the payment; we don't show the period in the description # as there's a specific field for that quotas = list(Quota.objects.filter(payment=payment).order_by('year', 'month').all()) assert quotas if len(quotas) == 1: description = "1 cuota social" else: description = "{} cuotas sociales".format(len(quotas)) record['description'] = description from_quota = quotas[0] from_day = datetime.date(from_quota.year, from_quota.month, 1) to_quota = quotas[-1] ny, nm = logic.increment_year_month(to_quota.year, to_quota.month) to_day = datetime.date(ny, nm, 1) - datetime.timedelta(days=1) record['service_date_from'] = from_day.strftime("%Y%m%d") record['service_date_to'] = to_day.strftime("%Y%m%d") print(" found {} quota(s) ({} - {})".format( len(quotas), record['service_date_from'], record['service_date_to'])) try: results = _afip.generate_invoices(records) except Exception: print("PROBLEMS generating invoices with records", records) raise # save the results for the generated ok invoices and send the proper mails for invoice_number, result in sorted(results.items()): print("Post-processing invoice {} at {}".format( invoice_number, result.get('pdf_path'))) if not result['invoice_ok']: print(" WARNING: invoice NOT authorized ok") continue payment = payments_per_invoice[invoice_number] payment.invoice_ok = True payment.save() # upload the invoice to google drive _gdrive.upload_invoice(result['pdf_path'], invoice_date) print(" uploaded to gdrive OK") # send the invoice by mail person = persons_per_invoice[invoice_number] _send_mail(payment.timestamp, person.email, result['pdf_path']) print(" sent by mail OK") # invoice uploaded to gdrive and sent ok, don't need it here anymore os.remove(result['pdf_path'])

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#!/usr/bin/env python import json import six from csvkit import CSVKitWriter def parse_object(obj, path=''): """ Recursively parse JSON objects and a dictionary of paths/keys and values. Inspired by JSONPipe (https://github.com/dvxhouse/jsonpipe). """ if isinstance(obj, dict): iterator = obj.iteritems() elif isinstance(obj, (list, tuple)): iterator = enumerate(obj) else: return { path.strip('/'): obj } d = {} for key, value in iterator: key = six.text_type(key) d.update(parse_object(value, path + key + '/')) return d def json2csv(f, key=None, **kwargs): """ Convert a JSON document into CSV format. The top-level element of the input must be a list or a dictionary. If it is a dictionary, a key must be provided which is an item of the dictionary which contains a list. """ document = f.read() js = json.loads(document) if isinstance(js, dict): if not key: raise TypeError('When converting a JSON document with a top-level dictionary element, a key must be specified.') js = js[key] if not isinstance(js, list): raise TypeError('Only JSON documents with a top-level list element are able to be converted (or a top-level dictionary if specifying a key).') field_set = set() flat = [] for obj in js: flat.append(parse_object(obj)) for obj in flat: field_set.update(obj.keys()) fields = sorted(list(field_set)) o = six.StringIO() writer = CSVKitWriter(o) writer.writerow(fields) for i in flat: row = [] for field in fields: if field in i: row.append(i[field]) else: row.append(None) writer.writerow(row) output = o.getvalue() o.close() return output

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import pytest from txweb.util.basic import sanitize_render_output from twisted.web.server import NOT_DONE_YET from twisted.internet.defer import Deferred def test_full_suite_coverage(): assert sanitize_render_output("Foo") == b"Foo" assert sanitize_render_output(b"Foo") == b"Foo" with pytest.raises(RuntimeError): assert sanitize_render_output(("Foo",)) assert sanitize_render_output(NOT_DONE_YET) == NOT_DONE_YET d = Deferred() assert sanitize_render_output(d) == NOT_DONE_YET assert sanitize_render_output(123) == b"123"

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from sys import stdin,stdout st=lambda:list(stdin.readline().strip()) li=lambda:list(map(int,stdin.readline().split())) mp=lambda:map(int,stdin.readline().split()) inp=lambda:int(stdin.readline()) pr=lambda n: stdout.write(str(n)+"\n") mod=1000000007 def solve(): n=inp() print((n+1)%2) for _ in range(1): solve()

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from ..utils import Object class GetWebAppUrl(Object): """ Returns an HTTPS URL of a Web App to open after keyboardButtonTypeWebApp button is pressed Attributes: ID (:obj:`str`): ``GetWebAppUrl`` Args: bot_user_id (:obj:`int`): Identifier of the target bot url (:obj:`str`): The URL from the keyboardButtonTypeWebApp button theme (:class:`telegram.api.types.themeParameters`): Preferred Web App theme; pass null to use the default theme Returns: HttpUrl Raises: :class:`telegram.Error` """ ID = "getWebAppUrl" def __init__(self, bot_user_id, url, theme, extra=None, **kwargs): self.extra = extra self.bot_user_id = bot_user_id # int self.url = url # str self.theme = theme # ThemeParameters @staticmethod def read(q: dict, *args) -> "GetWebAppUrl": bot_user_id = q.get('bot_user_id') url = q.get('url') theme = Object.read(q.get('theme')) return GetWebAppUrl(bot_user_id, url, theme)

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from os.path import abspath, join from xml.etree import cElementTree as et from django.core.files import File from django.core.management import BaseCommand from groups.models import Group from reader.models import Chapter, Page, Series def _get_element(tables, name): return list(filter( lambda t: t.attrib['name'].endswith(name), tables )) def _get_column(table, name): text = table.find('column[@name="%s"]' % name).text return text if text is not None else '' def _sort_children(tables, name): return sorted(tables, key=lambda p: _get_column(p, name)) class Command(BaseCommand): help = 'Imports data from FoolSlide2.' def add_arguments(self, parser): parser.add_argument( 'root', type=str, help='The path to the root directory of the FS2 installation.' ) parser.add_argument( 'data', type=str, help="The path to FS2's exported data (in XML format)." ) def handle(self, *args, **options): root = abspath(options['root']) data = abspath(options['data']) tables = et.parse(data).findall('database/table') content = join(root, 'content', 'comics') directories = {'series': [], 'chapters': []} elements = { 'series': _get_element(tables, 'comics'), 'chapters': _get_element(tables, 'chapters'), 'pages': _get_element(tables, 'pages'), 'groups': _get_element(tables, 'teams') } all_groups = [] for g in elements['groups']: group = Group( id=_get_column(g, 'id'), name=_get_column(g, 'name'), website=_get_column(g, 'url'), twitter=_get_column(g, 'twitter'), irc=_get_column(g, 'irc') ) all_groups.append(group) Group.objects.bulk_create(all_groups) all_series = [] for s in elements['series']: slug = _get_column(s, 'stub') series = Series( id=_get_column(s, 'id'), slug=slug, title=_get_column(s, 'name'), description=_get_column(s, 'description'), ) thumb = _get_column(s, 'thumbnail') series_dir = join(content, '%s_%s' % ( slug, _get_column(s, 'uniqid') )) cover = join(series_dir, 'thumb_%s' % thumb) with open(cover, 'rb') as f: series.cover.save(thumb, File(f), save=False) all_series.append(series) directories['series'].append( (_get_column(s, 'id'), series_dir) ) Series.objects.bulk_create(all_series) all_chapters = [] chapter_groups = [] groups_through = Chapter.groups.through for c in elements['chapters']: cid = _get_column(c, 'id') sid = _get_column(c, 'comic_id') number = float('%s.%s' % ( _get_column(c, 'chapter') or '0', _get_column(c, 'subchapter') or '0' )) volume = int(_get_column(c, 'volume') or '0') chapter = Chapter( id=cid, series_id=sid, title=_get_column(c, 'name'), volume=volume, number=number ) gid = _get_column(c, 'team_id') if gid: chapter_groups.append( groups_through(chapter_id=cid, group_id=gid) ) _dir = next(d[1] for d in directories['series'] if d[0] == sid) directories['chapters'].append(( cid, join(_dir, '%s_%s' % ( _get_column(c, 'stub'), _get_column(c, 'uniqid') )) )) all_chapters.append(chapter) Chapter.objects.bulk_create(all_chapters) groups_through.objects.bulk_create(chapter_groups) all_pages = [] page_numbers = {} for p in _sort_children(elements['pages'], 'filename'): pid = _get_column(p, 'id') cid = _get_column(p, 'chapter_id') page_numbers[cid] = page_numbers.get(cid, 0) + 1 page = Page(id=pid, chapter_id=cid, number=page_numbers[cid]) _dir = next(d[1] for d in directories['chapters'] if d[0] == cid) fname = _get_column(p, 'filename') with open(join(_dir, fname), 'rb') as f: page.image.save(fname, File(f), save=False) all_pages.append(page) Page.objects.bulk_create(all_pages)

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from flask import Flask from flask.ext.restful import reqparse, abort, Api, Resource from utils import get_controllers app = Flask(__name__) api = Api(app) def get_controller_by_id(controller_id): try: return controllers[controller_id] except IndexError: abort(404, message="Controller {} doesn't exist".format(controller_id)) class ControllerListResource(Resource): def get(self): return [controller.state_as_dict() for controller in controllers] class ControllerResource(Resource): def get(self, controller_id): controller = get_controller_by_id(controller_id) return controller.state_as_dict() api.add_resource(ControllerListResource, '/controllers') api.add_resource(ControllerResource, '/controllers/<int:controller_id>') if __name__ == '__main__': controllers = get_controllers(read_only=True) app.run(debug=True, use_reloader=False) for controller in controllers: controller.terminate()

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aliostad+github@gmail.com

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2021-01-19T12:33:54.964379

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from xai.brain.wordbase.verbs._fast import _FAST #calss header class _FASTING(_FAST, ): def __init__(self,): _FAST.__init__(self) self.name = "FASTING" self.specie = 'verbs' self.basic = "fast" self.jsondata = {}

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

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/source/sims-2/boltz-bgk/s5/plot-sol.py

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ammarhakim/ammar-simjournal

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2023-06-08T08:18:11.722779

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import gkedata import gkedgbasis from pylab import * import pylab import tables import math import numpy import pylab import numpy from matplotlib import rcParams import matplotlib.pyplot as plt # customization for figure rcParams['lines.linewidth'] = 2 rcParams['font.size'] = 18 rcParams['xtick.major.size'] = 8 # default is 4 rcParams['xtick.major.width'] = 3 # default is 0.5 rcParams['ytick.major.size'] = 8 # default is 4 rcParams['ytick.major.width'] = 3 # default is 0.5 rcParams['figure.facecolor'] = 'white' #rcParams['figure.subplot.bottom'] = 0.125 #rcParams['figure.subplot.right'] = 0.85 # keep labels/ticks of colobar in figure rcParams['image.interpolation'] = 'none' rcParams['image.origin'] = 'lower' rcParams['contour.negative_linestyle'] = 'solid' rcParams['savefig.bbox'] = 'tight' # Math/LaTex fonts: # http://matplotlib.org/users/mathtext.html # http://matplotlib.org/users/usetex.html # Example: xlabel(r'$t \cdot l / V_{A,bc}$') rcParams['mathtext.default'] = 'regular' # match the font used for regular text def IE(n, nu, E): return 0.5*(E-nu**2/n) # density plot d = gkedata.GkeData("../s5/s5-bgk-boltz_numDensity_5.h5") dg1 = gkedgbasis.GkeDgLobatto1DPolyOrder2Basis(d) Xc, n2 = dg1.project(0) d = gkedata.GkeData("../s6/s6-bgk-boltz_numDensity_5.h5") dg1 = gkedgbasis.GkeDgLobatto1DPolyOrder2Basis(d) Xc, n3 = dg1.project(0) nEul = loadtxt("../m2/m2-euler-shock-exact-density.txt") figure(1) plot(Xc, n2, '-r', label='Kn=1/100') plot(Xc, n3, '-b', label='Kn=1/1000') plot(nEul[:,0], nEul[:,1], 'k--') xlabel('X') ylabel('Density') legend(loc='best') savefig('jets-density-cmp.png', dpi=200) # momentum plot d = gkedata.GkeData("../s5/s5-bgk-boltz_momentum_5.h5") dg1 = gkedgbasis.GkeDgLobatto1DPolyOrder2Basis(d) Xc, nu2 = dg1.project(0) d = gkedata.GkeData("../s6/s6-bgk-boltz_momentum_5.h5") dg1 = gkedgbasis.GkeDgLobatto1DPolyOrder2Basis(d) Xc, nu3 = dg1.project(0) uEul = loadtxt("../m2/m2-euler-shock-exact-velocity.txt") figure(2) plot(Xc, nu2/n2, '-r', label='Kn=1/100') plot(Xc, nu3/n3, '-b', label='Kn=1/1000') plot(uEul[:,0], uEul[:,1], 'k--') xlabel('X') ylabel('Velocity') legend(loc='best') savefig('jets-velocity-cmp.png', dpi=200) # internal energy plot d = gkedata.GkeData("../s5/s5-bgk-boltz_ptclEnergy_5.h5") dg1 = gkedgbasis.GkeDgLobatto1DPolyOrder2Basis(d) Xc, E2 = dg1.project(0) d = gkedata.GkeData("../s6/s6-bgk-boltz_ptclEnergy_5.h5") dg1 = gkedgbasis.GkeDgLobatto1DPolyOrder2Basis(d) Xc, E3 = dg1.project(0) pEul = loadtxt("../m2/m2-euler-shock-exact-pressure.txt") figure(3) plot(Xc, IE(n2, nu2, E2), '-r', label='Kn=1/100') plot(Xc, IE(n3, nu3, E3), '-b', label='Kn=1/1000') plot(pEul[:,0], pEul[:,1]/(3-1), 'k--') xlabel('X') ylabel('Particle Energy') legend(loc='best') savefig('jets-ptclInternalEnergy-cmp.png', dpi=200) figure(4) plot(Xc, 0.5*E2, '-r', label='Kn=1/100') plot(Xc, 0.5*E3, '-b', label='Kn=1/1000') plot(pEul[:,0], 0.5*nEul[:,1]*uEul[:,1]**2+pEul[:,1]/(3-1), 'k--') xlabel('X') ylabel('Particle Energy') legend(loc='best') savefig('jets-ptclEnergy-cmp.png', dpi=200) show()

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# -*- coding: utf-8 -*- # # Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available. # Copyright (C) 2017-2019 THL A29 Limited, a Tencent company. All rights reserved. # Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://opensource.org/licenses/MIT # # 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. # # Generated by Django 1.11.5 on 2018-05-14 10:05 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('cluster', '0010_auto_20180224_2058'), ] operations = [ migrations.AlterField( model_name='clusterinstalllog', name='oper_type', field=models.CharField(choices=[('initialize', '集群初始化'), ('reinstall', '集群重新初始化'), ('initial_check', '前置检查'), ('removing', '删除集群'), ('so_initial', 'SO 机器初始化')], default='initialize', max_length=16), ), migrations.AlterField( model_name='nodeupdatelog', name='oper_type', field=models.CharField(choices=[('initialize', '节点初始化'), ('reinstall', '节点重新初始化'), ('removing', '节点移除'), ('initial_check', '前置检查'), ('so_initial', 'SO 机器初始化')], default='initialize', max_length=16), ), ]

[ "gejun.coolfriend@gmail.com" ]

gejun.coolfriend@gmail.com

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2022-12-08T02:54:31.000267

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class _Singleton(type): """ A metaclass that creates a Singleton base class when called. """ _instances = {} def __call__(cls, *args, **kwargs): if cls not in cls._instances: cls._instances[cls] = super(_Singleton, cls).__call__(*args, **kwargs) return cls._instances[cls] class BaseSingleton(_Singleton('SingletonMeta', (object,), {})): pass

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import random print("------------------------------") print(" M&M guessing game!") print("------------------------------") print("Guess the number of M&Ms and you get lunch on the house!") print() mm_count = random.randint(1, 100) attempt_limit = 5 attempts = 0 while attempts < attempt_limit: guess_text = input("How many M&Ms are in the jar? ") guess = int(guess_text) attempts += 1 if mm_count == guess: print(f"You got a free lunch! It was {guess}.") break elif guess < mm_count: print("Sorry, that's too LOW!") else: print("That's too HIGH!") print(f"Bye, you're done in {attempts}!")

[ "mikeckennedy@gmail.com" ]

mikeckennedy@gmail.com

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/test_word_break.py

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2023-01-01T00:57:45.294204

2020-10-13T21:01:18

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import unittest from typing import List, Set from data_word_break import s_2, wordDict_2 class Solution: def wordBreak(self, s: str, wordDict: List[str]) -> bool: if not wordDict: return [] set_words = set(wordDict) dp = [False]*(len(s)+1) dp[0] = True for i in range(1, len(s)+1): for j in range(0, i): if dp[j] is True and s[j:i] in set_words: dp[i] = True break return dp[-1] class TestFindWords(unittest.TestCase): def setUp(self): self.sol = Solution() def testWordBreak_1(self): s = "leetcode" word_dict = ["leet", "code"] segmented = self.sol.wordBreak(s, word_dict) self.assertTrue(segmented) def testWordBreak_2(self): s = "applepenapple" word_dict = ["apple", "pen"] segmented = self.sol.wordBreak(s, word_dict) self.assertTrue(segmented) def testWordBreak_3(self): s = "catsandog" word_dict = ["cats", "dog", "sand", "and", "cat"] segmented = self.sol.wordBreak(s, word_dict) self.assertFalse(segmented) def testWordBreak_4(self): s = "goalspecial" word_dict = ["go", "goal", "goals", "special"] segmented = self.sol.wordBreak(s, word_dict) self.assertTrue(segmented) def testWordBreak_5(self): s = s_2 word_dict = wordDict_2 segmented = self.sol.wordBreak(s, word_dict) self.assertFalse(segmented) if __name__ == "__main__": unittest.main()

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brigitteunger@users.noreply.github.com

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2019-09-30T11:14:13

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# coding: utf-8 """ Memsource REST API Welcome to Memsource's API documentation. To view our legacy APIs please [visit our documentation](https://wiki.memsource.com/wiki/Memsource_API) and for more information about our new APIs, [visit our blog](https://www.memsource.com/blog/2017/10/24/introducing-rest-apis-qa-with-the-memsource-api-team/). If you have any questions, please contact [Memsource Support](<mailto:support@memsource.com>). # noqa: E501 OpenAPI spec version: Latest Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six from memsource_cli.models.abstract_project_dto_v2 import AbstractProjectDtoV2 # noqa: F401,E501 from memsource_cli.models.domain_reference import DomainReference # noqa: F401,E501 from memsource_cli.models.reference_file_reference import ReferenceFileReference # noqa: F401,E501 from memsource_cli.models.sub_domain_reference import SubDomainReference # noqa: F401,E501 from memsource_cli.models.user_reference import UserReference # noqa: F401,E501 class LinguistV2(AbstractProjectDtoV2): """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 = { } attribute_map = { } def __init__(self): # noqa: E501 """LinguistV2 - a model defined in Swagger""" # noqa: E501 self.discriminator = None 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(LinguistV2, 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, LinguistV2): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

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ddobokki/coding-test-practice

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#https://programmers.co.kr/learn/courses/30/lessons/1844 from collections import deque def solution(maps): answer = 0 dx = [1, -1, 0, 0] # 순서대로 동, 서, 남, 북 dy = [0, 0, 1, -1] visit = [[-1] * len(maps[0]) for _ in range(len(maps))] # 거리 측정 및, 방문을 확인하는 visit 배열 visit[0][0] = 1 # visit이 -1이면 아직 방문을 안했다는 뜻, 탐색이 끝나고도 도달 못하면 -1을 리턴해야하므로 -1로 초기화 q = deque([(0, 0)]) # 0,0에서 시작 while q: x, y = q.popleft() # q에서 현재 좌표를 꺼낸다. for i in range(4): nx, ny = x + dx[i], y + dy[i] # 순서대로 동서남북의 좌표 if (0 <= nx < len(maps[0])) and (0 <= ny < len(maps)): # 각 루프마다 동서남북으로 갈수 있는 곳인지 확인 if (maps[ny][nx] == 1) and (visit[ny][nx] == -1): # 갈수 있는 조건 -> 맵 밖이 아니고, visit하지 않았으며 맵이 1이어야 한다. visit[ny][nx] = visit[y][x] + 1 # 현재 visit이 거리이므로 다음칸은 visit에 1을 더한값이 이동한 거리 q.append((nx, ny)) # 다음 좌표를 q에 삽입 return visit[-1][-1] #map = [[1, 0, 1, 1, 1], [1, 0, 1, 0, 1], [1, 0, 1, 1, 1], [1, 1, 1, 0, 1], [0, 0, 0, 0, 1]] #print(solution(map))

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/GuessNum.py

ee225ea9d692c0e4fc54bd50da1e7441a632581c

[]

no_license

heheddff/python2018

357d51bee7ea39f6a1df82101fb49c1568250e24

77a240dd155f679fffe33b62df57f689a8c85082

refs/heads/master

2020-03-27T23:13:38.789249

2018-12-08T14:55:21

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#GuessNum import random as rd target = rd.randint(1,1000) count = 0 while True: try: guess = eval(input("请输入一个猜测的整数(1至1000)：")) except: print('输入有误，请重试，此次不计入猜测次数！') continue count +=1 if guess > target: print("猜大了") elif guess < target: print("猜小了") else: print("猜对了") break print("此论猜测的次数是：{}".format(count))

[ "qq2003qq@126.com" ]

qq2003qq@126.com

811c54e32c59559195243cf283c1baeaf6bea67e

41ede4fd3bfba1bff0166bca7aee80dcf21434c6

/ayhanyalcinsoy/Desktop/xfce/addon/thunar-archive-plugin/actions.py

105c7d47862ca22da89c73e94b0087b806747df5

[]

no_license

pisilinux/playground

a7db4b42559a21cc72fd4c8649e0231ab6a3eb3c

e4e12fff8a847ba210befc8db7e2af8556c3adf7

refs/heads/master

2022-08-12T23:03:27.609506

2022-08-11T18:28:19

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2022-08-11T18:28:20

2013-02-26T09:37:11

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UTF-8

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683

py

#!/usr/bin/python # -*- coding: utf-8 -*- # # Licensed under the GNU General Public License, version 3. # See the file http://www.gnu.org/copyleft/gpl.txt. from pisi.actionsapi import autotools from pisi.actionsapi import get from pisi.actionsapi import pisitools from pisi.actionsapi import shelltools def setup(): shelltools.export("LDFLAGS", "%s -lgtk-x11-2.0 -lthunarx-2" % get.LDFLAGS()) autotools.configure("--disable-static \ --disable-dependency-tracking") def build(): autotools.make() def install(): autotools.rawInstall("DESTDIR=%s" % get.installDIR()) pisitools.dodoc("AUTHORS", "ChangeLog", "COPYING", "NEWS", "README")

[ "ayhanyalcinsoy@gmail.com" ]

ayhanyalcinsoy@gmail.com

e98d8dcea92717dc00bba19ef5d887b8d521e12e

ba949e02c0f4a7ea0395a80bdc31ed3e5f5fcd54

/problems/dp/Solution115.py

aec8a435c4f15acf75a0391afcaed2b0f9481f66

[ "MIT" ]

permissive

akaliutau/cs-problems-python

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9b1bd8e3932be62135a38a77f955ded9a766b654

refs/heads/master

2023-05-11T22:19:06.711001

2021-06-04T11:14:42

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py

""" Given two strings s and t, return the number of distinct subsequences of s which equals t. A string's subsequence is a new string formed from the original string by deleting some (can be none) of the characters without disturbing the relative positions of the remaining characters. (i.e., "ACE" is a subsequence of "ABCDE" while "AEC" is not). It's guaranteed the answer fits on a 32-bit signed integer. Example 1: Input: s = "rabbbit", t = "rabbit" Output: 3 Explanation: As shown below, there are 3 ways you can generate "rabbit" from S. ____ __ rabbbit __ ____ rabbbit ___ ___ rabbbit IDEA: lets t=ra, s=ram if we have a sequence [ra] number of distinct subsequences, layer by layer: i=0, t="", [""] ["r"] ["ra"] ["ram"] \ i=1, t="r", [""]<-["r"]<-["r"]<- ["r"] i=2, t="ra", [""]<-["r"]<-["r"]<- ["r"] where \ = use data from previous iteration, like this ["", r, a, ra] = [{"",r} + {"",r} * a] <- = copy prev result-set ["", r, a, ra] --> ["", r, a, ra] """ class Solution115: pass

[ "aliaksei.kaliutau@gmail.com" ]

aliaksei.kaliutau@gmail.com

a92309f4c06a45e9fc8a12855d0fbe22d95c8feb

a0c53168a4bdcfb0aa917d6d2c602f0999443a10

/projexui/widgets/xurlwidget.py

40516a9749b83fb4e82b2ccb12a331191a731d1e

[]

no_license

kanooshka/DPS_PIPELINE

8067154c59ca5c8c9c09740969bb6e8537021903

df2fcdecda5bce98e4235ffddde1e99f334562cc

refs/heads/master

2021-05-24T04:32:03.457648

2018-09-07T13:25:11

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3

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2015-01-27T22:26:01

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UTF-8

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py

""" Defines the XUrlWidget class """ # define authorship information __authors__ = ['Eric Hulser'] __author__ = ','.join(__authors__) __credits__ = [] __copyright__ = 'Copyright (c) 2011, Projex Software, LLC' __license__ = 'LGPL' __maintainer__ = 'Projex Software, LLC' __email__ = 'team@projexsoftware.com' import webbrowser from projexui import qt from PyQt4.QtCore import Qt from PyQt4.QtGui import QWidget,\ QHBoxLayout,\ QIcon,\ QToolButton from projexui.widgets.xlineedit import XLineEdit from projexui import resources class XUrlWidget(QWidget): urlChanged = qt.Signal(str) urlEdited = qt.Signal() def __init__( self, parent ): super(XUrlWidget, self).__init__(parent) # define the interface self._urlEdit = XLineEdit(self) self._urlButton = QToolButton(self) self._urlButton.setAutoRaise(True) self._urlButton.setIcon(QIcon(resources.find('img/web.png'))) self._urlButton.setToolTip('Browse Link') self._urlButton.setFocusPolicy(Qt.NoFocus) self._urlEdit.setHint('http://') layout = QHBoxLayout() layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) layout.addWidget(self._urlEdit) layout.addWidget(self._urlButton) self.setLayout(layout) self.setFocusPolicy(Qt.StrongFocus) # create connections self._urlEdit.textChanged.connect(self.urlChanged) self._urlEdit.textEdited.connect(self.urlEdited) self._urlButton.clicked.connect(self.browse) def blockSignals( self, state ): """ Blocks the signals for this widget and its sub-parts. :param state | <bool> """ super(XUrlWidget, self).blockSignals(state) self._urlEdit.blockSignals(state) self._urlButton.blockSignals(state) def browse( self ): """ Brings up a web browser with the address in a Google map. """ webbrowser.open(self.url()) def hint( self ): """ Returns the hint associated with this widget. :return <str> """ return self._urlEdit.hint() def lineEdit( self ): """ Returns the line edit linked with this widget. :return <XLineEdit> """ return self._urlEdit def setFocus(self): """ Sets the focus for this widget on its line edit. """ self._urlEdit.setFocus() @qt.Slot(str) def setHint( self, hint ): """ Sets the hint associated with this widget. :param hint | <str> """ self._urlEdit.setHint(hint) @qt.Slot(str) def setUrl( self, url ): """ Sets the url for this widget to the inputed url. :param url | <str> """ self._urlEdit.setText(str(url)) def url( self ): """ Returns the current url from the edit. :return <str> """ return str(self._urlEdit.text()) x_hint = qt.Property(str, hint, setHint) x_url = qt.Property(str, url, setUrl) __designer_plugins__ = [XUrlWidget]

[ "kanooshka@gmail.com" ]

kanooshka@gmail.com

1401a17efdbfb7b2ff484178a6944d5e373dd1f7

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p03488/s626861342.py

65eae1c60abd7285830f846f3f83e1f7681f124f

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

UTF-8

Python

false

1,207

py

s=input() X,Y=map(int,input().split()) from collections import defaultdict def solve(da,dp,G): for i in range(len(da)): tmp=set() for j in dp: tmp.add(j-da[i]) tmp.add(j+da[i]) dp=tmp if G in dp: return True else: return False """amax=0 for i in a: amax+=abs(i) if amax==0: if G==0: return True else: return False if a[0]==G: return True dp=[[0]*2*amax for _ in range(3)] dp[0][a[0]]=1 for i in range(1,len(a)): p=a[i] for j in range(-amax,amax): dp[i%3][j-p]+=dp[(i-1)%3][j] dp[i%3][j+p]+=dp[(i-1)%3][j] #print(dp) if dp[i%3][G]>=1: return True return False""" """#print(a) dp=set() dp.add(a[0]) dp2=set() for i in range(1,len(a)): for j in dp: dp2.add(j-a[i]) dp2.add(j+a[i]) dp=copy.deepcopy(dp2) #print(dp) if G in dp: return True return False""" d=[len(x) for x in s.split("T")] dx=d[2::2] dy=d[1::2] if solve(dx,{d[0]},X) and solve(dy,{0},Y): print("Yes") else: print("No")

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

e87293f0dbca65cf9e8eb987d30bb7c5e8ed590e

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/finalproduct/testapp/migrations/0003_comments.py

24bc341b3f011285e4bdec6c57d8b347120c9b42

[]

no_license

deepawalekedar319/DjangoProjects

93fe59812593a1e1b8f542c8c5b1642bc95f6da4

1780b703a3022ea17dc188ad98b0f17bb14fa12f

refs/heads/main

2023-09-03T04:48:21.201822

2021-11-08T05:28:00

425,706,071

0

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UTF-8

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false

1,135

py

# -*- coding: utf-8 -*- # Generated by Django 1.11.17 on 2020-10-31 13:23 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('testapp', '0002_auto_20201027_1439'), ] operations = [ migrations.CreateModel( name='Comments', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=32)), ('email', models.EmailField(max_length=254)), ('body', models.TextField()), ('created', models.DateTimeField(auto_now_add=True)), ('updated', models.DateTimeField(auto_now=True)), ('active', models.BooleanField(default=True)), ('post', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='comments', to='testapp.Post')), ], options={ 'ordering': ('-created',), }, ), ]

[ "deepawalekedar319@gmail.com" ]

deepawalekedar319@gmail.com

5631077333222d3476b68d4a173ce9d25f7396be

caf8cbcafd448a301997770165b323438d119f5e

/.history/mercari/mercari_search_20201124184144.py

21031f8d0dc5f3408e41cd1680d9f13d31082892

[ "MIT" ]

permissive

KustomApe/nerdape

03e0691f675f13ce2aefa46ee230111247e90c72

aef6fb2d1f8c364b26d91bf8570b4487a24de69a

refs/heads/main

2023-01-23T10:13:26.584386

2020-11-28T22:29:49

309,897,105

0

null

UTF-8

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false

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py

from selenium import webdriver from selenium.webdriver.support.ui import Select import pandas as pd import re import numpy as np import matplotlib.pyplot as plt import seaborn as sns import PyQt5 import time """[Initial Settings] 初期設定 """ options = webdriver.ChromeOptions() options.add_argument('--headeless') options.add_argument('--disable-gpu') options.add_argument('--lang-ja') browser = webdriver.Chrome(chrome_options=options, executable_path='./chromedriver') """[CSS Selector Settings] CSSセレクターの設定 """ PAGER = "li.pager-next" body > div.default-container > main > div.l-content > ul > li.pager-next.visible-pc > ul > li:nth-child(1) > a word = input("検索したいキーワードを入力してください：") while True: if PAGER: n = 1 res = browser.get("https://www.mercari.com/jp/search/?page="+str(n)+"&keyword="+word) df_main = pd.DataFrame(columns=['在庫有無','タイトル','値段','URL']) df_graf = pd.DataFrame(columns=['SOLD','PRICE']) browser.get(res) item_boxlist = browser.find_elements_by_css_selector(".items-box") for item_box in item_boxlist: try: if len(item_box.find_elements_by_css_selector(".item-sold-out-badge")) > 0: sold = "SOLD" else: sold = "NOT SOLD" sub_title = item_box.find_element_by_class_name("items-box-body") title = sub_title.find_element_by_tag_name("h3").text item_price = item_box.find_element_by_css_selector(".items-box-price") price_text = item_price.text price_text = re.sub(r",", "", price_text).lstrip("¥ ") price_text_int = int(price_text) print(price_text_int) url = item_box.find_element_by_tag_name("a").get_attribute("href") data = pd.Series( [ sold,title,price_text_int,url ], index=df_main.columns ) grdata = pd.Series( [ sold,price_text_int ], index=df_graf.columns ) df_main = df_main.append( data, ignore_index=True ) df_graf = df_graf.append( grdata, ignore_index=True ) except Exception as e: print(e) btn = browser.find_element_by_css_selector(PAGER).get_attribute('href') n += 1 print('next url:{}'.format(btn)) time.sleep(3) browser.get(btn) print('Moving to next page...') else: print('No items anymore...') break print(df_main) sns.stripplot(x='SOLD', y='PRICE', data=df_graf) plt.show() sns.pairplot(df_graf,hue="SOLD") plt.show() print('Writing out to CSV file...') df_main.to_csv("pricedata.csv", encoding="utf_8_sig") print("Done")

[ "kustomape@gmail.com" ]

kustomape@gmail.com

64cfaf128c32f6121b1d5cd6194329ba27f2532b

c0792645c156cb9e20a1aa2b28c565150358bc6e

/apps/inmueble/migrations/0007_auto_20180413_2159.py

67c3d2b9cf04f9cc969b9db636a4659a8eea6221

[]

no_license

clioo/Praver

b22fd92886e0399845adb4366663cae6a7d7853b

523f0d78e0a2039a5bae3e539c93e2c2415a0840

refs/heads/master

2020-03-11T12:38:54.272392

2018-06-28T18:24:21

130,003,043

1

0

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UTF-8

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false

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py

# -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2018-04-14 03:59 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('inmueble', '0006_imagenesinmbueble'), ] operations = [ migrations.AlterField( model_name='inmueble', name='latitud', field=models.CharField(blank=True, max_length=100), ), migrations.AlterField( model_name='inmueble', name='longitud', field=models.CharField(blank=True, max_length=100), ), ]

[ "jesus_acosta1996@hotmail.com" ]

jesus_acosta1996@hotmail.com

9df488729a33c40b7f0a79805a0e490939c392cc

de06c4a1fb02fd23eadfc58c770d87edfd0a6d38

/group_buying/payment/migrations/0002_auto_20200829_0923.py

da6c064bd2bf89bfec813229cb49073801216a4d

[]

no_license

saisantoshchirag/group_buying

c12dc0bf1882cf03d20e6865dd98105a28907f80

1d9fb28f99dfb9b085e43bb5429bde476680ffa7

refs/heads/master

2023-08-15T01:27:56.203321

2020-11-13T11:16:36

267,057,651

0

1

null

2021-09-22T19:21:23

2020-05-26T13:58:14

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py

# Generated by Django 2.1.5 on 2020-08-29 03:53 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('payment', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='orders', name='address', ), migrations.RemoveField( model_name='orders', name='city', ), migrations.RemoveField( model_name='orders', name='email', ), migrations.RemoveField( model_name='orders', name='items_json', ), migrations.RemoveField( model_name='orders', name='name', ), migrations.RemoveField( model_name='orders', name='phone', ), migrations.RemoveField( model_name='orders', name='state', ), migrations.RemoveField( model_name='orders', name='zip_code', ), ]

[ "saisantosh.c17@iiits.in" ]

saisantosh.c17@iiits.in

538215aa0cc6b8084fff013b4fd1dac21131423c

523f8f5febbbfeb6d42183f2bbeebc36f98eadb5

/80_best.py

c500e3032fd796de2b2a3073cdc4baa3dbdbb67f

[]

no_license

saleed/LeetCode

655f82fdfcc3000400f49388e97fc0560f356af0

48b43999fb7e2ed82d922e1f64ac76f8fabe4baa

refs/heads/master

2022-06-15T21:54:56.223204

2022-05-09T14:05:50

209,430,056

2

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false

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class Solution(object): def removeDuplicates(self, nums): """ :type nums: List[int] :rtype: int """ n=0 p=0 pre=float("inf") for i in range(len(nums)): if nums[i]==pre: if n==2: continue else: n+=1 nums[p]=nums[i] p+=1 else: n=1 nums[p]=nums[i] p+=1 pre=nums[i] return p a=Solution() test=[1,1,1,2,2,3] print(a.removeDuplicates(test))

[ "noelsun@mowennaierdeMacBook-Pro.local" ]

noelsun@mowennaierdeMacBook-Pro.local

ce9a504baf33919b24dc53bdf46a87dc45cd164e

fa45fe7eaba7ef7c27ecf95db7c460ca189ce0d4

/everydays/day002/flask_test/hm_07_helloflask.py

c5e844f1d49376ac75384f887e29197ae23fd8cb

[]

no_license

jake20001/Hello

be1a2bb5331f2ad4c1d8f30c6a9a530aff79e605

08217871bb17152eb09e68cd154937ebe5d59d2c

refs/heads/master

2021-07-10T09:48:15.883716

2021-04-23T14:49:03

56,282,358

0

null

UTF-8

Python

false

1,237

py

from datetime import timedelta from flask import Flask, session,jsonify app = Flask(__name__) # 设置应用秘钥会被用于session签名 app.secret_key = 'test' # 设置session过期时间默认31天 print(f'默认过期时间: {app.permanent_session_lifetime}') # 通过赋值一个 timedelta 对象来修改 session 的过期时间 app.permanent_session_lifetime = timedelta(days=0,seconds=20) print(f'测试过期时间: {app.permanent_session_lifetime}') @app.route('/session') def get_session(): # session是一个类字典对象 print(session) return jsonify({key: value for key, value in session.items()}) @app.route('/session/set') def set_session(): # session是一个类字典对象, 对其取值/赋值就可以实现session数据的读写 # 记录session数据 session['username'] = 'zhangsan' session['age'] = 100 return "set session" @app.route('/session/delete') def delete_session(): # 使用 del 来删除 session 的 key，但是要判断 key 是否在 session，如果不判断可能会出现异常 if 'username' in session: del session['username'] return "delete session" if __name__ == '__main__': app.run(host='0.0.0.0', port=5000, debug=True)

[ "jianke.zhang@beantechs.com" ]

jianke.zhang@beantechs.com

c9979f423a456cb880b77c2b8a584ec0c5691070

b007d88e6726452ffa8fe80300614f311ae5b318

/educative.io/coding_patterns/hash_maps/isomorphic_string.py

3f2177702a7f146a99345b2c40f7a05c9cd83761

[]

no_license

jinurajan/Datastructures

ec332b12b8395f42cb769e771da3642f25ba7e7f

647fea5d2c8122468a1c018c6829b1c08717d86a

refs/heads/master

2023-07-06T14:42:55.168795

2023-07-04T13:23:22

76,943,162

0

null

UTF-8

Python

false

1,731

py

""" Given two strings, check whether two strings are isomorphic to each other or not. Two strings are isomorphic if a fixed mapping exists from the characters of one string to the characters of the other string. For example, if there are two instances of the character "a" in the first string, both these instances should be converted to another character (which could also remain the same character if "a" is mapped to itself) in the second string. This converted character should remain the same in both positions of the second string since there is a fixed mapping from the character "a" in the first string to the converted character in the second string. """ def is_isomorphic(string1, string2): # Write your code here # your code will replace this placeholder return statement if len(string1) != len(string2): return False map_1 = {} # str1 to str2 mapping map_2 = {} # str2 to str1 mapping for i in range(len(string1)): char_1 = string1[i] char_2 = string2[i] if char_1 in map_1 and map_1[char_1] != char_2: return False if char_2 in map_2 and map_2[char_2] != char_1: return False map_1[char_1] = char_2 map_2[char_2] = char_1 return True def is_isomorphic(string1, string2): # Write your code here # your code will replace this placeholder return statement if len(string1) != len(string2): return False map_1 = {} # str1 to str2 mapping map_2 = {} # str2 to str1 mapping for char_1, char_2 in zip(string1,string2): if char_1 in map_1 and map_1[char_1] != char_2: return False if char_2 in map_2 and map_2[char_2] != char_1: return False map_1[char_1] = char_2 map_2[char_2] = char_1 return True

[ "jinu.p.r@gmail.com" ]

jinu.p.r@gmail.com

dc4ba9522892d2b29251cd8eab33b73c5fffbcf8

2d2c10ffa7aa5ee35393371e7f8c13b4fab94446

/projects/ai/mrc/haihua/mrc_guwen/loss.py

b36544f5e4359d2393243aba18e0a179e657b745

[]

no_license

faker2081/pikachu2

bec83750a5ff3c7b5a26662000517df0f608c1c1

4f06d47c7bf79eb4e5a22648e088b3296dad3b2d

refs/heads/main

2023-09-02T00:28:41.723277

2021-11-17T11:15:44

null

0

null

UTF-8

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false

1,067

py

#!/usr/bin/env python # -*- coding: utf-8 -*- # ============================================================================== # \file loss.py # \author chenghuige # \date 2021-01-09 17:51:33.472128 # \Description # ============================================================================== from __future__ import absolute_import from __future__ import division from __future__ import print_function import sys import os import tensorflow as tf import melt as mt from .config import * def loss_fn(y_true, y_pred, x, model): pred = y_pred pred = tf.cast(pred, tf.float32) loss_func = tf.keras.losses.BinaryCrossentropy(from_logits=True, reduction=tf.keras.losses.Reduction.NONE) loss = loss_func(y_true, pred) loss = mt.reduce_over(loss) return loss def get_loss(model=None): loss_fn_ = model.get_loss() # loss_fn_ = loss_fn # if not FLAGS.custom_loss: # loss_fn_ = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) # else: # loss_fn_ = model.get_loss() return loss_fn_

[ "chenghuige@gmail.com" ]

chenghuige@gmail.com

b95feeca262a9036432d30423ce62dd23cffdd32

415fcefe59c8d33bc3f8b0784d48a7509ea7d5da

/addanother_example/models.py

f005bc5f0ebd821cc308a8ef2e021933eecd6f68

[]

no_license

asifpy/django-quickstart

6f517699375015584a7d17f112b70b8eeff89762

0ff625915cf169d3fb2f9646d9838260629c1576

refs/heads/master

2021-01-11T11:19:22.446634

2017-05-04T05:28:55

72,719,312

2

1

null

2017-05-04T05:28:56

2016-11-03T07:24:32

Python

UTF-8

Python

false

795

py

from django.db import models class Team(models.Model): name = models.CharField(max_length=20) def __str__(self): return self.name class Player(models.Model): name = models.CharField(max_length=20) current_team = models.ForeignKey( "Team", related_name="current_players", help_text='This demonstrates the wrapper adding an "add" button only' ) future_team = models.ForeignKey( "Team", related_name="future_players", help_text='This demonstrates the wrapper adding both an "add" and an "edit" button' ) previous_teams = models.ManyToManyField( "Team", related_name="ancient_players", help_text="This demonstrates the wrapper on a ManyToMany field" ) def __str__(self): return self.name

[ "saluasif@gmail.com" ]

saluasif@gmail.com

a511646d6604a9c524b484c4ff7546e7ca14116e

bc167f434158921bcf2c678155c5cdfec1c9b0c9

/PI_code/simulator/behaviourGeneration/firstGenScripts_preyHunter/behav457.py

245f22a2fc444ac2254832c1c88ff8828465938b

[]

no_license

s0217391/DifferentProjects

6450efc89c64ecd21b86c705737e89e5c69433a6

7f4da153660817b6cbf72d2e823aa29c0c2f95a9

refs/heads/master

2021-01-17T02:58:46.219240

2015-05-26T22:45:46

34,995,164

0

null

UTF-8

Python

false

1,209

py

#!/usr/bin/python import sys def compute(prey): temp0 = -1 * prey[1] if temp0 != 0: temp1 = temp0 / temp0 else: temp1 = temp0 temp0 = -1 * prey[1] temp1 = temp0 * prey[0] if temp0 != 0: temp2 = temp1 % temp0 else: temp2 = temp0 temp3 = temp1 + prey[1] if temp2 > temp0: if temp3 != 0: temp3 = temp3 % temp3 else: temp3 = temp3 else: if temp2 > temp0: if temp3 != 0: temp3 = prey[0] % temp3 else: temp3 = temp3 else: temp3 = temp3 * prey[0] if temp3 != 0: temp1 = temp1 / temp3 else: temp1 = temp3 if prey[1] > temp3: temp1 = temp2 * temp2 else: temp1 = prey[1] + prey[1] if temp0 != 0: temp1 = prey[1] / temp0 else: temp1 = temp0 temp0 = prey[0] + temp0 temp2 = prey[0] + temp3 temp4 = -1 * prey[1] if temp3 != 0: temp0 = temp1 % temp3 else: temp0 = temp3 temp4 = prey[0] + temp2 temp3 = prey[1] + temp3 temp1 = max(prey[1], temp3) temp2 = temp2 + prey[1] if temp1 > prey[1]: if prey[0] > prey[0]: temp0 = -1 * temp1 else: temp0 = temp1 + prey[0] else: if prey[1] != 0: temp0 = temp0 / prey[1] else: temp0 = prey[1] if temp3 != 0: temp5 = prey[1] / temp3 else: temp5 = temp3 return [prey[1], temp5]

[ "i7674211@bournemouth.ac.uk" ]

i7674211@bournemouth.ac.uk

a5c866848db0a2d103e4eccf93def3588d598874

f20da8440bae10fe73900f787fc7781f23196325

/downsample/downsample_dense.py

ad5654289ac0181edcac53448c9e825628577396

[]

no_license

ramesh720/recipe_zs2017_track2_phoneme

9c5cdb3066a84e5059153b1390802e700c66978e

f8bbd9b8e6ae4f542e52c2582eab1cf166923226

refs/heads/master

2020-04-29T11:07:47.406768

2018-01-13T13:03:46

null

0

null

UTF-8

Python

false

4,364

py

#!/usr/bin/env python """ Perform dense downsampling over indicated segmentation intervals. Author: Herman Kamper Contact: kamperh@gmail.com Date: 2015-2017 """ from datetime import datetime from os import path import argparse import cPickle as pickle import numpy as np import scipy.signal as signal import sys OUTPUT_DIR = "embeddings" #-----------------------------------------------------------------------------# # UTILITY FUNCTIONS # #-----------------------------------------------------------------------------# def check_argv(): """Check the command line arguments.""" parser = argparse.ArgumentParser(description=__doc__.strip().split("\n")[0], add_help=False) parser.add_argument("lang", type=str, choices=["english", "french", "mandarin", "LANG1", "LANG2"]) parser.add_argument("subset", type=str, choices=["train"]) #, "test"]) # parser.add_argument("landmarks", type=str, choices=["gtphone", "unsup_syl"], help="landmarks set") parser.add_argument("landmarks", type=str, choices=["unsup_syl"], help="landmarks set") parser.add_argument( # "feature_type", type=str, help="input feature type", choices=["mfcc", "cae.d_10", "cae.d_13"] "feature_type", type=str, help="input feature type", choices=["mfcc", "okko0"] ) parser.add_argument("--n", type=int, help="number of samples (default: %(default)s)", default=10) parser.add_argument( "--frame_dims", type=int, default=None, help="only keep these number of dimensions" ) parser.add_argument( "--n_landmarks_max", type=int, help="maximum number of landmarks to cross (default: %(default)s)", default=6 ) if len(sys.argv) == 1: parser.print_help() sys.exit(1) return parser.parse_args() def downsample_utterance(features, seglist, n): """ Return the downsampled matrix with each row an embedding for a segment in the seglist. """ embeddings = [] for i, j in seglist: y = features[i:j+1, :].T y_new = signal.resample(y, n, axis=1).flatten("C") embeddings.append(y_new) return np.asarray(embeddings) #-----------------------------------------------------------------------------# # MAIN FUNCTION # #-----------------------------------------------------------------------------# def main(): args = check_argv() if args.feature_type == "mfcc": input_npz_fn = path.join( "..", "features", "mfcc", args.lang + "_" + args.subset, "numpy", "mfcc.cmvn_dd.npz" ) elif args.feature_type == "okko0": input_npz_fn = path.join( "..", "features", "okko0", args.lang + "_" + args.subset, "segments.npz" ) else: assert False print("Reading: " + input_npz_fn) input_npz = np.load(input_npz_fn) d_frame = input_npz[input_npz.keys()[0]].shape[1] print("No. of utterances: " + str(len(input_npz.keys()))) seglist_pickle_fn = path.join( OUTPUT_DIR, args.lang + "_" + args.subset, "seglist." + args.landmarks + ".n_max_" + str(args.n_landmarks_max) + ".pkl" ) print("Reading: " + seglist_pickle_fn) with open(seglist_pickle_fn, "rb") as f: seglist_dict = pickle.load(f) print("No. of utterances: " + str(len(seglist_dict))) print("Frame dimensionality: " + str(d_frame)) if args.frame_dims is not None and args.frame_dims < d_frame: d_frame = args.frame_dims print("Reducing frame dimensionality: " + str(d_frame)) print("No. of samples: " + str(args.n)) print(datetime.now()) print("Downsampling") downsample_dict = {} for i, utt in enumerate(input_npz.keys()): downsample_dict[utt] = downsample_utterance( input_npz[utt][:, :args.frame_dims], seglist_dict[utt], args.n ) print(datetime.now()) output_npz_fn = path.join( OUTPUT_DIR, args.lang + "_" + args.subset, "downsample_dense." + args.feature_type + ".n_" + str(args.n) + ".n_max_" + str(args.n_landmarks_max) + "." + args.landmarks + ".npz" ) print("Writing: " + output_npz_fn) np.savez_compressed(output_npz_fn, **downsample_dict) if __name__ == "__main__": main()

[ "kamperh@gmail.com" ]

kamperh@gmail.com

8425cd0230586cba7d321dc4706f57f721a3c5d4

b246bdb4ae3d845bbf8dee704b8936c32211c0f5

/Figure_1/initial_subtyping/do_tsne.py

fe059a8bd9f38cb0c2f026356b59d034111066fc

[]

no_license

KnottLab/bladder-snSeq

abfd3d77a04250622e6a28d84878e5adcd335d00

2e087dc745046e30c2814ab3e4c295bfa34e6820

refs/heads/master

2023-04-07T13:36:44.794889

2021-12-08T15:37:45

323,445,511

4

1

null

UTF-8

Python

false

2,966

py

#!/usr/bin/env python import numpy as np import argparse from load_data import load_data from MulticoreTSNE import MulticoreTSNE as TSNE try: import cuml CUML_FLAG=True except: print('[DO_TSNE] WARNING failed to import cuML. GPU accelerated TSNE will not be available.') CUML_FLAG=False """ Modules have two modes: standalone from command line and pipelined Both modes accept a preprocessed AnnData object as input. Standalone mode writes back a AnnData with new metadata Pipelined mode returns the AnnData object with new metadata UMAPs with /umap-learn/cuML GPU-accelerated UMAP implementation https://umap-learn.readthedocs.io/en/latest/ https://github.com/lmcinnes/umap """ def do_tsne(adata, ARGS): latent = adata.obsm[ARGS.latent_key] if ARGS.gpu and CUML_FLAG: print('[DO_TSNE] Using cuML GPU-accelerated TSNE') umap_class = cuml.UMAP if ARGS.metric != 'euclidean': print('[DO_TSNE] cuML TSNE requres euclidean distance metric.') emb = cuml.TSNE( perplexity = ARGS.perplexity, learning_rate = ARGS.learning_rate, early_exaggeration = ARGS.early_exaggeration, ).fit_transform(latent) else: print('[DO_TSNE] Using MulticoreTSNE') emb = TSNE( perplexity = ARGS.perplexity, metric = ARGS.metric, verbose = False, n_jobs=ARGS.n_jobs).fit_transform(latent) print(f'[DO_TSNE] placing embedding {emb.shape} in key {ARGS.tsne_key}') adata.obsm[ARGS.tsne_key] = emb print(f'[DO_TSNE] recording tSNE args') adata.uns['tSNE_args'] = ARGS.__dict__ return adata if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('dataset', type=str) parser.add_argument('--latent_key', default='X_scVI_vanilla', type=str, help = 'Key in adata.obsm to use as features for tsne.') parser.add_argument('--tsne_key', default='X_scVI_tsne_vanilla', type=str, help = 'Key in adata.obsm to save tsne embedding.') parser.add_argument('--gpu', action='store_true', help = 'Whether to use GPU-accelerated tsne via RapidsAI \ and the cuML library. ') parser.add_argument('-j', '--n_jobs', default=12, type=int, help = 'Number of jobs for MulticoreTSNE') parser.add_argument('--perplexity', default=20, type=int) parser.add_argument('--learning_rate', default=200., type=float) parser.add_argument('--n_iter', default=1000, type=int) parser.add_argument('--metric', default='euclidean', type=str) parser.add_argument('--early_exaggeration', default=12, type=float) parser.add_argument('--output_adata', default=None, type=str, help = 'Path to save.') ARGS = parser.parse_args() adata = load_data(ARGS.dataset) adata = do_tsne(adata, ARGS) if ARGS.output_adata is not None: print(f'[DO_TSNE] Writing to {ARGS.output_adata}') adata.write(ARGS.output_adata)

[ "ing.nathany@gmail.com" ]

ing.nathany@gmail.com

14e1a228d0680642f41d17ebeaa1552a75c5e0c5

1aa0ddb70fb893a6f958841b0a606cdcac954e18

/settings/forms/batches.py

a1931328efe9b17262c46d238776331d3278fa66

[]

no_license

shitalluitel/LibraryManagementSystem

3042860a70096bf3821299fb10ca35958e680f62

eecd909b272ad7e524a031c9142d22a356141fda

refs/heads/master

2023-02-17T06:42:19.044516

2021-01-10T14:52:18

166,533,846

2

1

null

2023-02-07T22:14:35

2019-01-19T10:22:41

HTML

UTF-8

Python

false

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py

from django import forms from django.forms import ModelMultipleChoiceField from settings.models import Batch, CourseBatch, Course class BatchForm(forms.ModelForm): class Meta: model = Batch fields = ['name', 'code'] widgets = { 'name': forms.TextInput(attrs={'class': 'form-control'}), 'code': forms.TextInput(attrs={'class': 'form-control'}), } labels = { 'name': 'Batch Name', 'code': 'Batch Code', } class CourseBatchCreateForm(forms.Form): course = forms.ModelMultipleChoiceField( queryset=Course.objects.all(), label="Choose courses for this batch." ) def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) # # self.fields['course'] = ModelMultipleChoiceField(queryset=Course.objects.all()) self.fields['course'].widget.attrs['class'] = 'form-control' self.fields['course'].empty_label = "Choose a countries"

[ "ctalluitel@gmail.com" ]

ctalluitel@gmail.com

5f01b00fb146fec0d23c878194633081590499e0

59de7788673ade984b9c9fbc33664a7cbdba67d3

/res/scripts/client/gui/scaleform/framework/entities/abstract/tooltipmgrmeta.py

a6dfedb52bce9035a795727e60fc365f096a4dbc

[]

no_license

webiumsk/WOT-0.9.15-CT

3fa24ab37a6c91b7073034afb2f355efa5b7fe36

fbd194fbaa6bdece51c7a68fc35bbb5257948341

refs/heads/master

2020-12-24T21:27:23.175774

2016-05-01T13:47:44

57,600,180

0

null

WINDOWS-1250

Python

false

1,329

py

# 2016.05.01 15:22:59 Střední Evropa (letní čas) # Embedded file name: scripts/client/gui/Scaleform/framework/entities/abstract/ToolTipMgrMeta.py from gui.Scaleform.framework.entities.BaseDAAPIModule import BaseDAAPIModule class ToolTipMgrMeta(BaseDAAPIModule): """ DO NOT MODIFY! Generated with yaml. __author__ = 'yaml_processor' @extends BaseDAAPIModule null """ def onCreateComplexTooltip(self, tooltipId, stateType): """ :param tooltipId: :param stateType: :return : """ self._printOverrideError('onCreateComplexTooltip') def onCreateTypedTooltip(self, type, args, stateType): """ :param type: :param args: :param stateType: :return : """ self._printOverrideError('onCreateTypedTooltip') def as_showS(self, tooltipData, linkage): """ :param tooltipData: :param linkage: :return : """ if self._isDAAPIInited(): return self.flashObject.as_show(tooltipData, linkage) # okay decompyling c:\Users\PC\wotsources\files\originals\res\scripts\client\gui\scaleform\framework\entities\abstract\tooltipmgrmeta.pyc # decompiled 1 files: 1 okay, 0 failed, 0 verify failed # 2016.05.01 15:22:59 Střední Evropa (letní čas)

[ "info@webium.sk" ]

info@webium.sk

85d95bdfbd59a153f246c62bca01d14bff2342be

8382f4ec907950a8cfc618d3cceb97b0d00ab478

/6kyu/encryptThis.py

98249bc9ece7063bffc8fcf98db0cc716a54aaba

[]

no_license

naistangz/codewars_challenges

80788f3869a4283c89ee2a05f19142b18ba4820c

372bbb6f1668b378183a169206526b52315107a8

refs/heads/master

2023-04-14T11:52:31.412554

2021-04-25T09:39:03

299,615,380

0

null

UTF-8

Python

false

443

py

def encrypt_this(text): words = text.split(" ") res = [] for i in words: new = "" temp = "" for j in range(len(i)): if j == 0: new += str(ord(i[j])) elif j == 1: temp = i[j] new += i[-1] elif j == len(i) - 1: new += temp else: new += i[j] res.append(new) return " ".join(list(filter(None, res)))

[ "a6anaistang@hotmail.co.uk" ]

a6anaistang@hotmail.co.uk

7c8e4675d0711026385f5328533e7c8eeb8fad4d

56db1ccba3f8976b2df6d97c99e5aae7108149a1

/spending/main/admin.py

2c410651c1a51abbb5f05621793ae519229eae80

[]

no_license

peterbe/django-spending

4d60b7a77250fc58eb7a397e388fd22fe73576de

ab2ab1730fbdd999e5ef8d75575795fa3a48d2b9

refs/heads/master

2021-01-10T05:32:00.005607

2013-07-06T05:41:41

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593

py

from django.contrib import admin from spending.main.models import Household, Expense, Category class HouseholdAdmin(admin.ModelAdmin): list_display = ('name', 'no_users') def no_users(self, obj): return obj.users.all().count() no_users.short_description = '# users' class ExpenseAdmin(admin.ModelAdmin): list_display = ('amount', 'date', 'user', 'category') class CategoryAdmin(admin.ModelAdmin): list_display = ('name',) admin.site.register(Household, HouseholdAdmin) admin.site.register(Expense, ExpenseAdmin) admin.site.register(Category, CategoryAdmin)

[ "mail@peterbe.com" ]

mail@peterbe.com

11ef2cc4fb52774a2fb7d480df6720fc9c79afd9

9b20743ec6cd28d749a4323dcbadb1a0cffb281b

/02_Statistical_Methods_for_Machine_Learning/14/01_tolerance.py

4a81741857f5d7f81dd597a2d99ba09c2f2bae3b

[]

no_license

jggrimesdc-zz/MachineLearningExercises

6e1c7e1f95399e69bba95cdfe17c4f8d8c90d178

ee265f1c6029c91daff172b3e7c1a96177646bc5

refs/heads/master

2023-03-07T19:30:26.691659

2021-02-19T08:00:49

null

0

null

UTF-8

Python

false

1,055

py

# parametric tolerance interval from numpy import mean from numpy import sqrt from numpy.random import randn from numpy.random import seed from scipy.stats import chi2 from scipy.stats import norm # seed the random number generator seed(1) # generate dataset data = 5 * randn(100) + 50 # specify degrees of freedom n = len(data) dof = n - 1 # specify data coverage prop = 0.95 prop_inv = (1.0 - prop) / 2.0 gauss_critical = norm.ppf(prop_inv) print('Gaussian critical value: %.3f (coverage=%d%%)' % (gauss_critical, prop * 100)) # specify confidence prob = 0.99 prop_inv = 1.0 - prob chi_critical = chi2.ppf(prop_inv, dof) print('Chi-Squared critical value: %.3f (prob=%d%%, dof=%d)' % (chi_critical, prob * 100, dof)) # tolerance interval = sqrt((dof * (1 + (1 / n)) * gauss_critical ** 2) / chi_critical) print('Tolerance Interval: %.3f' % interval) # summarize data_mean = mean(data) lower, upper = data_mean - interval, data_mean + interval print('%.2f to %.2f covers %d%% of data with a confidence of %d%%' % (lower, upper, prop * 100, prob * 100))

[ "jgrimes@jgrimes.tech" ]

jgrimes@jgrimes.tech

4fdc6b0d3c0d6e664d22960a9926a3b2127f2f29

753a70bc416e8dced2853f278b08ef60cdb3c768

/models/research/deeplab/datasets/build_cityscapes_data.py

ce81baef20a460abaa634d3f1dcb6760a0858dec

[ "MIT", "Apache-2.0" ]

permissive

finnickniu/tensorflow_object_detection_tflite

ef94158e5350613590641880cb3c1062f7dd0efb

a115d918f6894a69586174653172be0b5d1de952

refs/heads/master

2023-04-06T04:59:24.985923

2022-09-20T16:29:08

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19

MIT

2023-03-25T00:31:18

2019-12-30T09:58:41

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# Lint as: python2, python3 # Copyright 2018 The TensorFlow 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. # ============================================================================== """Converts Cityscapes data to TFRecord file format with Example protos. The Cityscapes dataset is expected to have the following directory structure: + cityscapes - build_cityscapes_data.py (current working directiory). - build_data.py + cityscapesscripts + annotation + evaluation + helpers + preparation + viewer + gtFine + train + val + test + leftImg8bit + train + val + test + tfrecord This script converts data into sharded data files and save at tfrecord folder. Note that before running this script, the users should (1) register the Cityscapes dataset website at https://www.cityscapes-dataset.com to download the dataset, and (2) run the script provided by Cityscapes `preparation/createTrainIdLabelImgs.py` to generate the training groundtruth. Also note that the tensorflow model will be trained with `TrainId' instead of `EvalId' used on the evaluation server. Thus, the users need to convert the predicted labels to `EvalId` for evaluation on the server. See the vis.py for more details. The Example proto contains the following fields: image/encoded: encoded image content. image/filename: image filename. image/format: image file format. image/height: image height. image/width: image width. image/channels: image channels. image/segmentation/class/encoded: encoded semantic segmentation content. image/segmentation/class/format: semantic segmentation file format. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import glob import math import os.path import re import sys import build_data from six.moves import range import tensorflow as tf FLAGS = tf.app.flags.FLAGS tf.app.flags.DEFINE_string('cityscapes_root', './cityscapes', 'Cityscapes dataset root folder.') tf.app.flags.DEFINE_string( 'output_dir', './tfrecord', 'Path to save converted SSTable of TensorFlow examples.') _NUM_SHARDS = 10 # A map from data type to folder name that saves the data. _FOLDERS_MAP = { 'image': 'leftImg8bit', 'label': 'gtFine', } # A map from data type to filename postfix. _POSTFIX_MAP = { 'image': '_leftImg8bit', 'label': '_gtFine_labelTrainIds', } # A map from data type to data format. _DATA_FORMAT_MAP = { 'image': 'png', 'label': 'png', } # Image file pattern. _IMAGE_FILENAME_RE = re.compile('(.+)' + _POSTFIX_MAP['image']) def _get_files(data, dataset_split): """Gets files for the specified data type and dataset split. Args: data: String, desired data ('image' or 'label'). dataset_split: String, dataset split ('train', 'val', 'test') Returns: A list of sorted file names or None when getting label for test set. """ if data == 'label' and dataset_split == 'test': return None pattern = '*%s.%s' % (_POSTFIX_MAP[data], _DATA_FORMAT_MAP[data]) search_files = os.path.join( FLAGS.cityscapes_root, _FOLDERS_MAP[data], dataset_split, '*', pattern) filenames = glob.glob(search_files) return sorted(filenames) def _convert_dataset(dataset_split): """Converts the specified dataset split to TFRecord format. Args: dataset_split: The dataset split (e.g., train, val). Raises: RuntimeError: If loaded image and label have different shape, or if the image file with specified postfix could not be found. """ image_files = _get_files('image', dataset_split) label_files = _get_files('label', dataset_split) num_images = len(image_files) num_per_shard = int(math.ceil(num_images / _NUM_SHARDS)) image_reader = build_data.ImageReader('png', channels=3) label_reader = build_data.ImageReader('png', channels=1) for shard_id in range(_NUM_SHARDS): shard_filename = '%s-%05d-of-%05d.tfrecord' % ( dataset_split, shard_id, _NUM_SHARDS) output_filename = os.path.join(FLAGS.output_dir, shard_filename) with tf.python_io.TFRecordWriter(output_filename) as tfrecord_writer: start_idx = shard_id * num_per_shard end_idx = min((shard_id + 1) * num_per_shard, num_images) for i in range(start_idx, end_idx): sys.stdout.write('\r>> Converting image %d/%d shard %d' % ( i + 1, num_images, shard_id)) sys.stdout.flush() # Read the image. image_data = tf.gfile.FastGFile(image_files[i], 'rb').read() height, width = image_reader.read_image_dims(image_data) # Read the semantic segmentation annotation. seg_data = tf.gfile.FastGFile(label_files[i], 'rb').read() seg_height, seg_width = label_reader.read_image_dims(seg_data) if height != seg_height or width != seg_width: raise RuntimeError('Shape mismatched between image and label.') # Convert to tf example. re_match = _IMAGE_FILENAME_RE.search(image_files[i]) if re_match is None: raise RuntimeError('Invalid image filename: ' + image_files[i]) filename = os.path.basename(re_match.group(1)) example = build_data.image_seg_to_tfexample( image_data, filename, height, width, seg_data) tfrecord_writer.write(example.SerializeToString()) sys.stdout.write('\n') sys.stdout.flush() def main(unused_argv): # Only support converting 'train' and 'val' sets for now. for dataset_split in ['train', 'val']: _convert_dataset(dataset_split) if __name__ == '__main__': tf.app.run()

[ "finn.niu@apptech.com.hk" ]

finn.niu@apptech.com.hk

36427016924bc734286ed9ff39b3812b2d38b21a

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AdamZhouSE/pythonHomework

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refs/heads/master

2022-11-24T08:05:22.122011

2020-07-28T16:21:24

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res1=1 list1=[1] for i in range(0,30): res1=res1*10+1 list1.append(res1) n=int(input()) for i in list1: if i%n==0: print(i) break print(-1)

[ "1069583789@qq.com" ]

1069583789@qq.com

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/athena/Reconstruction/RecExample/RecExCommon/share/ContainerRemapping.py

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[]

no_license

rushioda/PIXELVALID_athena

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refs/heads/master

2020-12-14T22:01:15.365949

2020-01-19T03:59:35

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include.block ("RecExCommon/ContainerRemapping.py") from AthenaCommon.AppMgr import ServiceMgr # Instantiate the address remapping service: if not hasattr( ServiceMgr, "AddressRemappingSvc" ): ServiceMgr += CfgMgr.AddressRemappingSvc() pass if not hasattr( ServiceMgr, "ProxyProviderSvc" ): ServiceMgr += CfgMgr.ProxyProviderSvc() pass ServiceMgr.ProxyProviderSvc.ProviderNames += [ "AddressRemappingSvc" ] # Declare the name conversion rules: ServiceMgr.AddressRemappingSvc.TypeKeyOverwriteMaps += [ "xAOD::ElectronContainer#ElectronCollection->" "xAOD::ElectronContainer#Electrons", "xAOD::ElectronAuxContainer#ElectronCollectionAux.->" "xAOD::ElectronAuxContainer#ElectronsAux.", "xAOD::ElectronContainer#FwdElectrons->" "xAOD::ElectronContainer#ForwardElectrons", "xAOD::ElectronAuxContainer#FwdElectronsAux.->" "xAOD::ElectronAuxContainer#ForwardElectronsAux.", "xAOD::PhotonContainer#PhotonCollection->" "xAOD::PhotonContainer#Photons", "xAOD::PhotonAuxContainer#PhotonCollectionAux.->" "xAOD::PhotonAuxContainer#PhotonsAux.", "xAOD::CaloClusterContainer#egClusterCollection->" "xAOD::CaloClusterContainer#egammaClusters", "xAOD::CaloClusterAuxContainer#egClusterCollectionAux.->" "xAOD::CaloClusterAuxContainer#egammaClustersAux.", "xAOD::CaloClusterContainer#LArClusterEMFrwd->" "xAOD::CaloClusterContainer#ForwardElectronClusters", "xAOD::CaloClusterAuxContainer#LArClusterEMFrwdAux.->" "xAOD::CaloClusterAuxContainer#ForwardElectronClustersAux.", "xAOD::TrackParticleContainer#InDetTrackParticlesForward->" "xAOD::TrackParticleContainer#InDetForwardTrackParticles", "xAOD::TrackParticleAuxContainer#InDetTrackParticlesForwardAux.->" "xAOD::TrackParticleAuxContainer#InDetForwardTrackParticlesAux.", "xAOD::TrackParticleContainer#InDetTrackParticlesLowBeta->" "xAOD::TrackParticleContainer#InDetLowBetaTrackParticles", "xAOD::TrackParticleAuxContainer#InDetTrackParticlesLowBetaAux.->" "xAOD::TrackParticleAuxContainer#InDetLowBetaTrackParticlesAux.", "xAOD::TauJetContainer#TauRecContainer->" "xAOD::TauJetContainer#TauJets", "xAOD::TauJetAuxContainer#TauRecContainerAux.->" "xAOD::TauJetAuxContainer#TauJetsAux.", "xAOD::CaloClusterContainer#TauPi0ClusterContainer->" "xAOD::CaloClusterContainer#TauPi0Clusters", "xAOD::CaloClusterAuxContainer#TauPi0ClusterContainerAux.->" "xAOD::CaloClusterAuxContainer#TauPi0ClustersAux.", "xAOD::VertexContainer#TauSecondaryVertexContainer->" "xAOD::VertexContainer#TauSecondaryVertices", "xAOD::VertexAuxContainer#TauSecondaryVertexContainerAux.->" "xAOD::VertexAuxContainer#TauSecondaryVerticesAux.", "xAOD::PFOContainer#TauShotPFOContainer->" "xAOD::PFOContainer#TauShotParticleFlowObjects", "xAOD::PFOAuxContainer#TauShotPFOContainerAux.->" "xAOD::PFOAuxContainer#TauShotParticleFlowObjectsAux.", "xAOD::PFOContainer#TauPi0ChargedPFOContainer->" "xAOD::PFOContainer#TauChargedParticleFlowObjects", "xAOD::PFOAuxContainer#TauPi0ChargedPFOContainerAux.->" "xAOD::PFOAuxContainer#TauChargedParticleFlowObjectsAux.", "xAOD::PFOContainer#TauPi0NeutralPFOContainer->" "xAOD::PFOContainer#TauNeutralParticleFlowObjects", "xAOD::PFOAuxContainer#TauPi0NeutralPFOContainerAux.->" "xAOD::PFOAuxContainer#TauNeutralParticleFlowObjectsAux.", "xAOD::PFOContainer#chargedJetETMissPFO_eflowRec->" "xAOD::PFOContainer#JetETMissChargedParticleFlowObjects", "xAOD::PFOAuxContainer#chargedJetETMissPFO_eflowRecAux.->" "xAOD::PFOAuxContainer#JetETMissChargedParticleFlowObjectsAux.", "xAOD::PFOContainer#neutralJetETMissPFO_eflowRec->" "xAOD::PFOContainer#JetETMissNeutralParticleFlowObjects", "xAOD::PFOAuxContainer#neutralJetETMissPFO_eflowRecAux.->" "xAOD::PFOAuxContainer#JetETMissNeutralParticleFlowObjectsAux.", "xAOD::CaloClusterContainer#CaloCalTopoCluster->" "xAOD::CaloClusterContainer#CaloCalTopoClusters", "xAOD::CaloClusterAuxContainer#CaloCalTopoClusterAux.->" "xAOD::CaloClusterAuxContainer#CaloCalTopoClustersAux.", "xAOD::TruthEventContainer#TruthEvent->" "xAOD::TruthEventContainer#TruthEvents", "xAOD::TruthEventAuxContainer#TruthEventAux.->" "xAOD::TruthEventAuxContainer#TruthEventsAux.", "xAOD::TruthParticleContainer#TruthParticle->" "xAOD::TruthParticleContainer#TruthParticles", "xAOD::TruthParticleAuxContainer#TruthParticleAux.->" "xAOD::TruthParticleAuxContainer#TruthParticlesAux.", "xAOD::TruthVertexContainer#TruthVertex->" "xAOD::TruthVertexContainer#TruthVertices", "xAOD::TruthVertexAuxContainer#TruthVertexAux.->" "xAOD::TruthVertexAuxContainer#TruthVerticesAux." ]

[ "rushioda@lxplus754.cern.ch" ]

rushioda@lxplus754.cern.ch

70b13e09918671ec8f42febe6f91674c2a84f798

d4f2e2e3552ab4b111f78cfbad0d30c144201093

/2016-12-20/semaphore.py

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[ "Apache-2.0" ]

permissive

dongweiming/mp

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refs/heads/master

2023-04-29T07:56:27.198574

2022-10-30T04:20:09

2022-10-30T04:21:27

75,051,758

96

35

Apache-2.0

2023-04-17T17:34:17

2016-11-29T06:44:53

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py

import aiohttp import asyncio NUMBERS = range(12) URL = 'http://httpbin.org/get?a={}' sema = asyncio.Semaphore(3) async def fetch_async(a): async with aiohttp.request('GET', URL.format(a)) as r: data = await r.json() return data['args']['a'] async def print_result(a): with (await sema): r = await fetch_async(a) print('fetch({}) = {}'.format(a, r)) loop = asyncio.get_event_loop() f = asyncio.wait([print_result(num) for num in NUMBERS]) loop.run_until_complete(f)

[ "ciici1234@hotmail.com" ]

ciici1234@hotmail.com

b097b7a2e91b91ea67969ca245e6a9c69ad4bc7f

fbbe424559f64e9a94116a07eaaa555a01b0a7bb

/Selenium_Chromium/source/selenium/webdriver/edge/service.py

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[ "MIT" ]

permissive

ryfeus/lambda-packs

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refs/heads/master

2022-12-07T16:18:52.475504

2022-11-29T13:35:35

71,386,735

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263

MIT

2022-11-26T05:02:14

2016-10-19T18:22:39

Python

UTF-8

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false

2,161

py

# Licensed to the Software Freedom Conservancy (SFC) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The SFC licenses this file # to you 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 selenium.webdriver.common import service class Service(service.Service): def __init__(self, executable_path, port=0, verbose=False, log_path=None): """ Creates a new instance of the EdgeDriver service. EdgeDriver provides an interface for Microsoft WebDriver to use with Microsoft Edge. :param executable_path: Path to the Microsoft WebDriver binary. :param port: Run the remote service on a specified port. Defaults to 0, which binds to a random open port of the system's choosing. :verbose: Whether to make the webdriver more verbose (passes the --verbose option to the binary). Defaults to False. :param log_path: Optional path for the webdriver binary to log to. Defaults to None which disables logging. """ self.service_args = [] if verbose: self.service_args.append("--verbose") params = { "executable": executable_path, "port": port, "start_error_message": "Please download from http://go.microsoft.com/fwlink/?LinkId=619687" } if log_path: params["log_file"] = open(log_path, "a+") service.Service.__init__(self, **params) def command_line_args(self): return ["--port=%d" % self.port] + self.service_args

[ "ryfeus@gmail.com" ]

ryfeus@gmail.com

fe0e6cff95e5d8a330eff9257815093428fb3c63

43ab33b2f50e47f5dbe322daa03c86a99e5ee77c

/test/test_od_mcomplex_type_definition_range_check.py

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[]

no_license

Sage-Bionetworks/rcc-client

c770432de2d2950e00f7c7bd2bac22f3a81c2061

57c4a621aecd3a2f3f9faaa94f53b2727992a01a

refs/heads/main

2023-02-23T05:55:39.279352

2021-01-21T02:06:08

331,486,099

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null

UTF-8

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py

# 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 """ from __future__ import absolute_import import unittest import datetime import rcc from rcc.models.od_mcomplex_type_definition_range_check import ODMcomplexTypeDefinitionRangeCheck # noqa: E501 from rcc.rest import ApiException class TestODMcomplexTypeDefinitionRangeCheck(unittest.TestCase): """ODMcomplexTypeDefinitionRangeCheck unit test stubs""" def setUp(self): pass def tearDown(self): pass def make_instance(self, include_optional): """Test ODMcomplexTypeDefinitionRangeCheck include_option is a boolean, when False only required params are included, when True both required and optional params are included """ # model = rcc.models.od_mcomplex_type_definition_range_check.ODMcomplexTypeDefinitionRangeCheck() # noqa: E501 if include_optional : return ODMcomplexTypeDefinitionRangeCheck( check_value = [ rcc.models.od_mcomplex_type_definition_check_value.ODMcomplexTypeDefinitionCheckValue( value = '0', ) ], formal_expression = [ rcc.models.od_mcomplex_type_definition_formal_expression.ODMcomplexTypeDefinitionFormalExpression( value = '0', context = '0', ) ], measurement_unit_ref = rcc.models.od_mcomplex_type_definition_measurement_unit_ref.ODMcomplexTypeDefinitionMeasurementUnitRef( measurement_unit_oid = '0', ), error_message = rcc.models.od_mcomplex_type_definition_error_message.ODMcomplexTypeDefinitionErrorMessage( translated_text = [ rcc.models.od_mcomplex_type_definition_translated_text.ODMcomplexTypeDefinitionTranslatedText( value = '0', lang = '0', ) ], ), comparator = 'LT', soft_hard = 'SOFT' ) else : return ODMcomplexTypeDefinitionRangeCheck( ) def testODMcomplexTypeDefinitionRangeCheck(self): """Test ODMcomplexTypeDefinitionRangeCheck""" inst_req_only = self.make_instance(include_optional=False) inst_req_and_optional = self.make_instance(include_optional=True) if __name__ == '__main__': unittest.main()

[ "thomas.yu@sagebase.org" ]

thomas.yu@sagebase.org

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/website/drawquest/dbrouters.py

23bbfb4be240253be8526040cf768de593b23d88

[ "BSD-3-Clause" ]

permissive

MichaelBechHansen/drawquest-web

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8d8f9149b6efeb65202809a5f8916386f58a1b3b

refs/heads/master

2021-01-14T10:30:10.861222

2015-11-10T03:13:42

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from django.conf import settings class DatabaseAppRouter(object): """ A router to control all database operations on models for different databases. In case an app is not set in settings.DATABASE_APPS_MAPPING, the router will fallback to the `default` database. Settings example: DATABASE_APPS_MAPPING = {'app1': 'db1', 'app2': 'db2'} """ def db_for_read(self, model, **hints): """" Point all read operations to the specific database. """ return settings.DATABASE_APPS_MAPPING.get(model._meta.app_label) def db_for_write(self, model, **hints): """ Point all write operations to the specific database. """ return settings.DATABASE_APPS_MAPPING.get(model._meta.app_label) def allow_relation(self, obj1, obj2, **hints): """ Allow any relation between apps that use the same database. """ db_obj1 = settings.DATABASE_APPS_MAPPING.get(obj1._meta.app_label) db_obj2 = settings.DATABASE_APPS_MAPPING.get(obj2._meta.app_label) if db_obj1 and db_obj2: if db_obj1 == db_obj2: return True else: return False def allow_syncdb(self, db, model): """ Make sure that apps only appear in the related database. """ if model._meta.app_label == 'south': return True elif db in settings.DATABASE_APPS_MAPPING.values(): return settings.DATABASE_APPS_MAPPING.get(model._meta.app_label) == db elif settings.DATABASE_APPS_MAPPING.has_key(model._meta.app_label): return False elif db != 'default': return False return True

[ "alex.ehlke@gmail.com" ]

alex.ehlke@gmail.com

444afd65d83f521bbd49a2443f13fc3fbfceb654

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p03078/s480863669.py

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[]

no_license

Aasthaengg/IBMdataset

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f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

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# solution x,y,z,k = map(int, input().split()) a = sorted(list(map(int, input().split())), reverse = True) b = sorted(list(map(int, input().split())), reverse = True) c = sorted(list(map(int, input().split())), reverse = True) ans = [] for p in range(min(k,len(a))): for q in range(min(k,len(b))): for r in range(min(k,len(c))): if((p+1)*(q+1)*(r+1) > k): break ans.append(a[p] + b[q] + c[r]) ans = sorted(ans, reverse = True) for i in range(k): print(ans[i])

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

3a074572647edca905c1104c2e82709c859ebddb

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/the_flyer_15147/urls.py

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[]

no_license

crowdbotics-apps/the-flyer-15147

6fb0a403286d06c5393d9f58b39f76ad5c538312

e2f62327110f1200c8d4ebf46f127ce4fe903189

refs/heads/master

2022-12-11T02:03:31.153849

2020-03-28T02:01:50

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"""the_flyer_15147 URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/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 allauth.account.views import confirm_email from rest_framework import permissions from drf_yasg.views import get_schema_view from drf_yasg import openapi urlpatterns = [ path("", include("home.urls")), path("accounts/", include("allauth.urls")), path("api/v1/", include("home.api.v1.urls")), path("admin/", admin.site.urls), path("users/", include("users.urls", namespace="users")), path("rest-auth/", include("rest_auth.urls")), # Override email confirm to use allauth's HTML view instead of rest_auth's API view path("rest-auth/registration/account-confirm-email/<str:key>/", confirm_email), path("rest-auth/registration/", include("rest_auth.registration.urls")), path("api/v1/", include("event.api.v1.urls")), path("event/", include("event.urls")), path("home/", include("home.urls")), ] admin.site.site_header = "the flyer" admin.site.site_title = "the flyer Admin Portal" admin.site.index_title = "the flyer Admin" # swagger schema_view = get_schema_view( openapi.Info( title="the flyer API", default_version="v1", description="API documentation for the flyer App", ), public=True, permission_classes=(permissions.IsAuthenticated,), ) urlpatterns += [ path("api-docs/", schema_view.with_ui("swagger", cache_timeout=0), name="api_docs") ]

[ "team@crowdbotics.com" ]

team@crowdbotics.com

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[ "BSD-3-Clause" ]

permissive

mokasini/cbm

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refs/heads/main

2023-02-24T04:44:07.744715

2021-02-01T12:29:38

null

0

null

UTF-8

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py

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # This file is part of CbM (https://github.com/ec-jrc/cbm). # Author : Konstantinos Anastasakis # Credits : GTCAP Team # Copyright : 2021 European Commission, Joint Research Centre # License : 3-Clause BSD from ipywidgets import Tab from cbm.ipycbm.utils import help_docs from cbm.ipycbm.ipy_view import view_settings, view_panel def view_widget_box(): try: tab_box = Tab(children=[view_panel.view(), help_docs.widget_box(), view_settings.widget_box()]) tab_box.set_title(0, 'View Data') tab_box.set_title(1, 'Help') tab_box.set_title(2, 'Settings') except Exception as err: tab_box = Tab(children=[help_docs.widget_box(), view_settings.widget_box()]) tab_box.set_title(1, 'Help') tab_box.set_title(2, 'Settings') print("Could not show 'View panel'.", err) return tab_box

[ "Konstantinos.ANASTASAKIS@ext.ec.europa.eu" ]

Konstantinos.ANASTASAKIS@ext.ec.europa.eu

27c35318c6b5f8212dd449e282c2b081d6dc4c61

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/test/test22.py

05c20e2d7892acce138d4df0ab6d184be9b7d49e

[]

no_license

carusyte/tflab

1d0edf87282352aeb5a38b83c58ab9c0189bbb1a

2324c3b0ad22d28c50a4fd8db56e36a2836735c3

refs/heads/master

2021-05-12T06:58:26.270868

2019-03-24T14:57:44

117,232,451

0

null

UTF-8

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false

6,165

py

from __future__ import print_function # Path hack. import sys import os sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/..") import tensorflow as tf from pstk.model import model11 from time import strftime from pstk.data import data as data0 from pstk.data import data12 from test import collect_summary import os import numpy as np import math EPOCH_SIZE = 444 RNN_LAYERS = 1 FCN_LAYERS = 3 LAYER_WIDTH = 256 MAX_STEP = 50 TIME_SHIFT = 9 DROP_OUT = math.e / 10.0 LEARNING_RATE = 1e-3 LOG_DIR = 'logdir' def run(): tf.logging.set_verbosity(tf.logging.INFO) loader = data12.DataLoader(TIME_SHIFT) print('{} loading test data...'.format(strftime("%H:%M:%S"))) tuuids, tdata, tlabels, tseqlen = loader.loadTestSet(MAX_STEP) print(tdata.shape) print(tlabels.shape) featSize = tdata.shape[2] nclass = tlabels.shape[1] classes = [i-nclass//2 for i in range(nclass)] data = tf.placeholder(tf.float32, [None, MAX_STEP, featSize], "input") target = tf.placeholder(tf.float32, [None, nclass], "labels") seqlen = tf.placeholder(tf.int32, [None], "seqlen") dropout = tf.placeholder(tf.float32, [], name="dropout") training = tf.placeholder(tf.bool, [], name="training") with tf.Session() as sess: model = model11.DRnnPredictorV6( data=data, target=target, seqlen=seqlen, classes=classes, rnn_layers=RNN_LAYERS, fcn_layers=FCN_LAYERS, layer_width=LAYER_WIDTH, dropout=dropout, training=training, learning_rate=LEARNING_RATE) stime = '{}'.format(strftime("%Y-%m-%d %H:%M:%S")) model_name = model.getName() f = __file__ fbase = f[f.rfind('/')+1:f.rindex('.py')] base_dir = '{}/{}_{}/{}'.format(LOG_DIR, fbase, model_name, strftime("%Y%m%d_%H%M%S")) print('{} using model: {}'.format(strftime("%H:%M:%S"), model_name)) if tf.gfile.Exists(base_dir): tf.gfile.DeleteRecursively(base_dir) tf.gfile.MakeDirs(base_dir) # Isolate the variables stored behind the scenes by the metric operation metric_local_vars = tf.get_collection( tf.GraphKeys.LOCAL_VARIABLES, scope="Precisions") + tf.get_collection( tf.GraphKeys.LOCAL_VARIABLES, scope="Recalls") metric_vars_initializer = tf.variables_initializer( var_list=metric_local_vars) sess.run(tf.group(tf.global_variables_initializer(), metric_vars_initializer)) summary, train_writer, test_writer = collect_summary( sess, model, base_dir) saver = tf.train.Saver() bno = 0 for epoch in range(EPOCH_SIZE): bno = epoch*50 print('{} running on test set...'.format(strftime("%H:%M:%S"))) feeds = {data: tdata, target: tlabels, seqlen: tseqlen, dropout: 0, training: False} accuracy, worst, test_summary_str = sess.run( [model.accuracy, model.worst, summary, model.precisions[1], model.recalls[1], model.f_score], feeds)[:3] bidx, max_entropy, predict, actual = worst[0], worst[1], worst[2], worst[3] print('{} Epoch {} test accuracy {:3.3f}% max_entropy {:3.4f} predict {} actual {} uuid {}'.format( strftime("%H:%M:%S"), epoch, 100. * accuracy, max_entropy, predict, actual, tuuids[bidx])) data0.save_worst_rec(model_name, stime, "test", epoch, tuuids[bidx], max_entropy, predict, actual) summary_str = None for i in range(50): sess.run(metric_vars_initializer) bno = bno+1 print('{} loading training data for batch {}...'.format( strftime("%H:%M:%S"), bno)) truuids, trdata, labels, trseqlen = loader.loadTrainingData( bno, MAX_STEP) print('{} training...'.format(strftime("%H:%M:%S"))) feeds = {data: trdata, target: labels, seqlen: trseqlen, dropout: DROP_OUT, training: True} summary_str, worst = sess.run( [summary, model.worst, model.optimize, model.precisions[1], model.recalls[1], model.f_score], feeds)[:2] bidx, max_entropy, predict, actual = worst[0], worst[1], worst[2], worst[3] print('{} bno {} max_entropy {:3.4f} predict {} actual {}'.format( strftime("%H:%M:%S"), bno, max_entropy, predict, actual)) data0.save_worst_rec(model_name, stime, "train", bno, truuids[bidx], max_entropy, predict, actual) train_writer.add_summary(summary_str, bno) test_writer.add_summary(test_summary_str, bno) train_writer.flush() test_writer.flush() checkpoint_file = os.path.join(base_dir, 'model.ckpt') saver.save(sess, checkpoint_file, global_step=bno) sess.run(metric_vars_initializer) # test last epoch print('{} running on test set...'.format(strftime("%H:%M:%S"))) feeds = {data: tdata, target: tlabels, seqlen: tseqlen, dropout: 0, training: False} accuracy, worst, test_summary_str = sess.run( [model.accuracy, model.worst, summary, model.precisions[1], model.recalls[1], model.f_score], feeds)[:3] bidx, max_entropy, predict, actual = worst[0], worst[1], worst[2], worst[3] print('{} Epoch {} test accuracy {:3.3f}% max_entropy {:3.4f} predict {} actual {}'.format( strftime("%H:%M:%S"), EPOCH_SIZE, 100. * accuracy, max_entropy, predict, actual)) data0.save_worst_rec(model_name, stime, "test", EPOCH_SIZE, tuuids[bidx], max_entropy, predict, actual) train_writer.add_summary(summary_str, bno) test_writer.add_summary(test_summary_str, bno) train_writer.flush() test_writer.flush() if __name__ == '__main__': run()

[ "carusyte@163.com" ]

carusyte@163.com

4ecf47ca7e7b37620817c44064a35600aa63affa

dfc2c18053b8e7576f88e7b2524d7ca3a8f47282

/ch03/session3/63.py

a3458fac0a02818719ccecbeba2d2a88982ce7e0

[]

no_license

Xoozi/tchomework

a6eed3bbf697ff12af8d42249ec58a139aed0c4c

627c98b0b652ef20fd93025a17341bba76fbfce6

refs/heads/master

2021-01-23T21:18:15.793703

2018-10-21T11:05:55

57,583,655

1

2

null

UTF-8

Python

false

1,067

py

#一族三次曲线 #(a)对k = 0, 及其邻近的k的正和负值, 把f(x) = x**3 + k*x的图形画在一个公共屏幕上. #k的值是怎么影响到图形的形状的 #k小于0时, 函数递减, 只有一个根 #k向0移动, 函数图像开始逆时针旋转, 并且开始弯曲, 靠近0时开始有多个根 #k大于0时, 又开始伸展, #(b)求f'(x). 正如你知道的, f'(x)是一个二次函数, 求该二次函数的判别式. 对什么样的k值, 该判别式 #为正, 为零, 为负? 对什么k值f'有两个零点, 一个或,没有零点? #说明k的值对f图形的形状有什么影响? #f'(x) = 3*x**2 + k #Δ = -4*3*k = -12k #k>0时Δ<0, f'无零点 #k<0时Δ>0, f'有两个零点 #k=0时Δ=0, f'有一个零点 #说明k值影响了f是否有极值 def f(x, k): return x**3 + k*x def ddd(s, e, a): r = 0 g = 0 b = 0 k = -1280 plot([s, e], [0, 0], '-k') x = linspace(s, e, a) while(k <= 1280): y = f(x, k) plot(x, y, '#%02X%02X%02X' % (r, g, b)) r += 2 k += 20 ddd(-16, 16, 1000)

[ "wwfxtt@gmail.com" ]

wwfxtt@gmail.com

d954433fc734887cf2bed62499ea0205cefd66a3

30b97efb2f36f81aa684d16d19e0e2db17f2967d

/기타/2468.py

05d75b8ff59e165f6298ad243ba4d49c20202b24

[]

no_license

jmseb3/bakjoon

0a784a74c6476ef51864e2ada9d2551c7c7979eb

a38db54e851372059b0e45add92e43e556835e62

refs/heads/main

2023-08-25T08:43:04.579785

2021-10-01T08:40:37

362,287,450

2

0

null

UTF-8

Python

false

956

py

from collections import deque N = int(input()) maps = [] max_len = 0 for _ in range(N): temp = list(map(int, input().split())) max_len = max(max_len, max(temp)) maps.append(temp) moves = [(-1, 0), (1, 0), (0, 1), (0, -1)] ans = 0 def bfs(y, x, ck, visited): q = deque() q.append((y, x)) visited[y][x] = True while q: y, x = q.popleft() for dy, dx in moves: ny = y + dy nx = x + dx if ny < 0 or nx < 0 or ny >= N or nx >= N: continue if maps[ny][nx] >= ck and not visited[ny][nx]: visited[ny][nx] = True q.append((ny, nx)) for ck in range(max_len+1): tmp = 0 visited = [[False]*N for _ in range(N)] for y in range(N): for x in range(N): if maps[y][x] >= ck and not visited[y][x]: bfs(y, x, ck, visited) tmp += 1 ans = max(tmp, ans) print(ans)

[ "jmseb3@naver.com" ]

jmseb3@naver.com

84f29f68b65af4c479188bad5fe13eb540caa362

7fac5e7216c8f4328f21a14f9e222005890a57f8

/11_Actor_Critic_Advantage/refactor/CartPole/network.py

a91406a51ae6f89da620c63ac4298837c272d612

[]

no_license

ZhangRui111/MorvanRL

bee77d644df50ce9900be6ec7d702c395238fae4

ad443d56314427aa9ebe4af552dde0f5470da967

refs/heads/master

2021-04-14T12:05:14.657272

2019-03-26T02:28:31

126,663,363

0

null

UTF-8

Python

false

1,786

py

import numpy as np import tensorflow as tf def build_actor_network(n_features, n_actions, lr): s = tf.placeholder(tf.float32, [1, n_features], "state") a = tf.placeholder(tf.int32, None, "act") td_error = tf.placeholder(tf.float32, None, "td_error") # TD_error with tf.variable_scope('Actor'): l1 = tf.contrib.layers.fully_connected(s, 20, activation_fn=tf.nn.relu) acts_prob = tf.contrib.layers.fully_connected(l1, n_actions, activation_fn=tf.nn.softmax) with tf.variable_scope('exp_v'): log_prob = tf.log(acts_prob[0, a]) # log_prob = tf.exp(acts_prob[0, a]) # tf.exp can also convergent exp_v = tf.reduce_mean(log_prob * td_error) # advantage (TD_error) guided loss with tf.variable_scope('train'): train_op = tf.train.AdamOptimizer(lr).minimize(-exp_v) # minimize(-exp_v) = maximize(exp_v) return [[s, a, td_error], [acts_prob, exp_v, train_op]] # # debug mode # # # return [[s, a, td_error], [acts_prob, exp_v, train_op], [log_prob, l1]] # # debug mode # # def build_critic_network(n_features, lr, discount): s = tf.placeholder(tf.float32, [1, n_features], "state") v_ = tf.placeholder(tf.float32, [1, 1], "v_next") r = tf.placeholder(tf.float32, None, 'r') with tf.variable_scope('Critic'): l1 = tf.contrib.layers.fully_connected(s, 20, activation_fn=tf.nn.relu) v = tf.contrib.layers.fully_connected(l1, 1, activation_fn=None) with tf.variable_scope('squared_TD_error'): td_error = r + discount * v_ - v loss = tf.square(td_error) # TD_error = (r+gamma*V_next) - V_eval with tf.variable_scope('train'): train_op = tf.train.AdamOptimizer(lr).minimize(loss) return [[s, v_, r], [v, td_error, loss, train_op]]

[ "zhangruisg111@163.com" ]

zhangruisg111@163.com

5db9f1bb82aaada88a79243dab0be796299f41e9

a1d8fefb84ce2f69ebce5fedcdf5262ba0005a5f

/zvt/recorders/eastmoney/meta/china_stock_category_recorder.py

a0a6b9c47e284491ad80a9fade92202ba428d1f4

[ "MIT" ]

permissive

vinhphu3000/FinanceCenter

f2c827ffe268421011682ed45375f55ac6ddc54a

1511751fe6d7d1f1fb940ae66d29b45eb0782fea

refs/heads/master

2023-03-30T19:55:17.124679

2021-03-27T11:40:18

null

0

null

UTF-8

Python

false

5,630

py

# -*- coding: utf-8 -*- import pandas as pd from numba import njit from zvt import zvt_config from zvt.api.data_type import Region, Provider, EntityType from zvt.api.quote import china_stock_code_to_id from zvt.domain import BlockStock, BlockCategory, Block from zvt.contract.api import df_to_db from zvt.contract.recorder import RecorderForEntities, TimeSeriesDataRecorder from zvt.networking.request import sync_get from zvt.utils.time_utils import now_pd_timestamp, PD_TIME_FORMAT_DAY from zvt.utils.utils import json_callback_param class EastmoneyChinaBlockRecorder(RecorderForEntities): provider = Provider.EastMoney data_schema = Block region = Region.CHN # 用于抓取行业/概念/地域列表 category_map_url = { BlockCategory.industry: 'https://nufm.dfcfw.com/EM_Finance2014NumericApplication/JS.aspx?type=CT&cmd=C._BKHY&sty=DCRRBKCPAL&st=(ChangePercent)&sr=-1&p=1&ps=200&lvl=&cb=jsonp_F1A61014DE5E45B7A50068EA290BC918&token=4f1862fc3b5e77c150a2b985b12db0fd&_=08766', BlockCategory.concept: 'https://nufm.dfcfw.com/EM_Finance2014NumericApplication/JS.aspx?type=CT&cmd=C._BKGN&sty=DCRRBKCPAL&st=(ChangePercent)&sr=-1&p=1&ps=300&lvl=&cb=jsonp_3071689CC1E6486A80027D69E8B33F26&token=4f1862fc3b5e77c150a2b985b12db0fd&_=08251', # BlockCategory.area: 'https://nufm.dfcfw.com/EM_Finance2014NumericApplication/JS.aspx?type=CT&cmd=C._BKDY&sty=DCRRBKCPAL&st=(ChangePercent)&sr=-1&p=1&ps=200&lvl=&cb=jsonp_A597D4867B3D4659A203AADE5B3B3AD5&token=4f1862fc3b5e77c150a2b985b12db0fd&_=02443' } def init_entities(self): self.entities = [BlockCategory.industry, BlockCategory.concept] def process_loop(self, entity, http_session): text = sync_get(http_session, self.category_map_url[entity], return_type='text') if text is None: return results = json_callback_param(text) @njit(nopython=True) def numba_boost_up(results): the_list = [] for result in results: items = result.split(',') code = items[1] name = items[2] entity_id = f'block_cn_{code}' the_list.append({ 'id': entity_id, 'entity_id': entity_id, 'entity_type': EntityType.Block.value, 'exchange': 'cn', 'code': code, 'name': name, 'category': entity.value }) return the_list the_list = numba_boost_up(results) if the_list: df = pd.DataFrame.from_records(the_list) df_to_db(df=df, ref_df=None, region=Region.CHN, data_schema=self.data_schema, provider=self.provider) self.logger.info(f"finish record sina blocks:{entity.value}") class EastmoneyChinaBlockStockRecorder(TimeSeriesDataRecorder): region = Region.CHN provider = Provider.EastMoney entity_schema = Block data_schema = BlockStock # 用于抓取行业包含的股票 category_stocks_url = 'https://nufm.dfcfw.com/EM_Finance2014NumericApplication/JS.aspx?type=CT&cmd=C.{}{}&sty=SFCOO&st=(Close)&sr=-1&p=1&ps=300&cb=jsonp_B66B5BAA1C1B47B5BB9778045845B947&token=7bc05d0d4c3c22ef9fca8c2a912d779c' def __init__(self, exchanges=None, entity_ids=None, codes=None, batch_size=10, force_update=False, sleeping_time=5, default_size=zvt_config['batch_size'], real_time=False, fix_duplicate_way='add', start_timestamp=None, end_timestamp=None, close_hour=0, close_minute=0) -> None: super().__init__(EntityType.Block, exchanges, entity_ids, codes, batch_size, force_update, sleeping_time, default_size, real_time, fix_duplicate_way, start_timestamp, end_timestamp, close_hour, close_minute) def generate_domain_id(self, entity, df, time_fmt=PD_TIME_FORMAT_DAY): return entity.id + '_' + df['stock_id'] def record(self, entity, start, end, size, timestamps, http_session): url = self.category_stocks_url.format(entity.code, '1') text = sync_get(http_session, url, return_type='text') if text is None: return None results = json_callback_param(text) # @njit(nopython=True) def numba_boost_up(results): the_list = [] for result in results: items = result.split(',') stock_code = items[1] stock_id = china_stock_code_to_id(stock_code) the_list.append({ 'stock_id': stock_id, 'stock_code': stock_code, 'stock_name': items[2], }) return the_list the_list = numba_boost_up(results) if the_list: df = pd.DataFrame.from_records(the_list) return df self.sleep() return None def format(self, entity, df): df['timestamp'] = now_pd_timestamp(Region.CHN) df['entity_id'] = entity.id df['provider'] = self.provider.value df['code'] = entity.code df['name'] = entity.name df['level'] = self.level.value df['exchange'] = entity.exchange df['entity_type'] = EntityType.Block.value df['id'] = self.generate_domain_id(entity, df) return df __all__ = ['EastmoneyChinaBlockRecorder', 'EastmoneyChinaBlockStockRecorder'] if __name__ == '__main__': # init_log('china_stock_category.log') recorder = EastmoneyChinaBlockStockRecorder(codes=['BK0727']) recorder.run()

[ "doncat99@gmail.com" ]

doncat99@gmail.com

a25196a8f29cc48a0abcab0af5d74810790319c3

de24f83a5e3768a2638ebcf13cbe717e75740168

/moodledata/vpl_data/470/usersdata/281/112524/submittedfiles/Av2_Parte3.py

a4b0c34470239c11ef1a33686d04422e6413ad37

[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

2017-12-22T16:05:45

69,566,344

0

null

UTF-8

Python

false

477

py

# -*- coding: utf-8 -*- m=int(input('Digite a quantidade de listas desejada: ')) for i in range(0,m,1): lista=[] n=int(input('Digite a quantidade de elementos da %d lista: ' %(i+1))) for i in range(0,n,1): lista.append(int(input('Digite o %d elemento dessa lista: ' %(i+1)))) media=sum(lista)/len(lista) for i in range(0,n,1): soma=0 soma(i-media)**2 dp=((1/(n-1))*soma)**(1/2) print(media) print(dp)

[ "rafael.mota@ufca.edu.br" ]

rafael.mota@ufca.edu.br

aca102ba379f86d774530313c359be0ea25547c8

747f759311d404af31c0f80029e88098193f6269

/extra-addons/hr_attendance_analysis/interface.py

01271421ed420fa708a35f11eb536752ed1a9217

[]

no_license

sgeerish/sirr_production

9b0d0f7804a928c0c582ddb4ccb7fcc084469a18

1081f3a5ff8864a31b2dcd89406fac076a908e78

refs/heads/master

2020-05-19T07:21:37.047958

2013-09-15T13:03:36

9,648,444

0

1

null

UTF-8

Python

false

2,712

py

# -*- encoding: utf-8 -*- ############################################################################## # # Clock Reader for OpenERP # Copyright (C) 2004-2009 Moldeo Interactive CT # (<http://www.moldeointeractive.com.ar>). All Rights Reserved # $Id$ # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. # ############################################################################## import timeutils as tu class Interface(object): def __init__(self, cr, uid, pool, oid, otype): self._parms = (cr, uid, pool) self._cache = pool.get(otype).read(cr, uid, oid) self._field = pool.get(otype).fields_get(cr, uid) self._local_cache = {} def __getitem__(self, name): if name in self._local_cache: return self._local_cache[name] if name in self._cache: ret = self._cache[name] if isinstance(ret, bool): return ret field = self._field[name] if field['type'] in ['char','int','float', 'selection']: _r = ret elif field['type'] in ['datetime']: _r = tu.dt(ret) elif field['type'] in ['date']: _r = tu.d(ret) elif field['type'] in ['many2one']: _r = Interface(*(self._parms + (ret[0] ,field['relation']))) elif field['type'] in ['many2many', 'one2many']: _r = map(lambda a: Interface(*(self._parms + a)) , zip(ret, [field['relation']]*len(ret))) else: raise NotImplementedError, \ "Not implemented for %s of type %s (%s)." % (name, field['type'], str(ret)) self._local_cache[name] = _r return _r else: # raise ValueError, "Not exists %s in object." % name return False def __getattr__(self, name): return self[name] # vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:

[ "geerish@omerp.net" ]

geerish@omerp.net

1648baed214078a8926589e49711518dd6f5a517

49f61714a6f78d984fd2194d6064d84e891bc5b7

/2019-1/220/users/4258/codes/1647_2445.py

e74ad3e0112c554a5f274784d793ec04694fb134

[]

no_license

psbarros/Variaveis3

b5c4e1517e7d94a846ee03791d25d5821a1c651c

3dcf6f810709ce03c78335acf9533e008a2ae125

refs/heads/master

2023-06-13T07:05:00.878430

2021-07-06T17:51:37

383,549,597

0

null

UTF-8

Python

false

207

py

escala = input("Escolha C para Celsius, ou F para Fahrenheit: ") temp = float(input("Temperatura: ")) c = (5/9)*(temp - 32) f = ((9/5)*temp) + 32 if(escala == "C"): print(f) if(escala == "F"): print(c)

[ "psb@icomp.ufam.edu.br" ]

psb@icomp.ufam.edu.br

21b8c9f44927459be125440bea1eff530f530da0

040236bf3bb45826c0bbc39e7432512ff420a0d1

/geomk/api/serializers.py

6c022a859e6e149bbc1d0f638e27c128eb57e92b

[]

no_license

ThiagoDiasV/parking-lot-api

2768baf8921b9dc087616def8c93ccc4f2fe8cf5

5cb3f687099bea59740b0034aeebf9a65b791358

refs/heads/master

2022-12-13T02:25:50.754524

2020-02-12T12:08:32

232,959,041

4

3

null

2022-03-08T21:10:08

2020-01-10T03:36:52

Python

UTF-8

Python

false

991

py

from .models import Car from rest_framework import serializers class CarSerializer(serializers.ModelSerializer): class Meta: model = Car fields = "__all__" read_only_fields = ["entry_time", "left_time", "time", "paid", "left"] def create(self, validated_data: dict) -> Car: """ Overriding create function to avoid POST with cars that already are at parking lot and don't left yet. Cars with plate registered can only enter if they already left the last time. """ try: cars = Car.objects.filter(plate=validated_data.get("plate")) last_register = cars.last() if last_register: if not last_register.left: raise serializers.ValidationError( "Car already at parking lot and don't left yet." ) except IndexError: pass return Car.objects.create(**validated_data)

[ "thiago76ers@gmail.com" ]

thiago76ers@gmail.com

27da08cfa78217f9a5c0fc73b6cccf72ff2e25ac

69a2f0c4419d0bf39d2fe46e8ff2ee117eaf237a

/mutilprocess/test.py

5b992fe9cd521106dc327da20aafd0555f827fc5

[]

no_license

lxy5513/python

7da339e8ef6e2fa827e2da723c0f4e3595e11e04

228c3e631e642228de659e68f98ea938bcb2509f

refs/heads/master

2020-03-27T03:21:03.582842

2020-01-17T00:39:57

145,855,837

0

null

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py

import multiprocessing import time import collections Queue = collections.deque(maxlen=10) def consume(interval): while True: print("Queue: ", Queue) if len(Queue) == 0: print("no data") time.sleep(0.5) else: num = Queue.pop() print("Num: ", num) time.sleep(0.5) print("worker_1") time.sleep(interval) print("end worker_1") def productor(interval): while True: print("productor") time.sleep(interval) Queue.append(1) print("length of queue is: ", len(Queue)) print("end worker_2") if __name__ == "__main__": p1 = multiprocessing.Process(target = consume, args = (2,)) p2 = multiprocessing.Process(target = productor, args = (3,)) p1.start() p2.start()

[ "lxy5513@gmail.com" ]

lxy5513@gmail.com

883182e36ae3c57c73a7b281ee795b79299603a9

191fbcc96b9f0c74b88b001003f024064c973753

/gateware/rtl/platform/syzygy/boson.py

8ca2d666a8022c603a68c64631c4c2278825ce82

[ "BSD-2-Clause" ]

permissive

gregdavill/boson-eth-firmware

f0b5895469260e414b90cd7e7e0fad37a5728159

056843c43fac6486114bfb916fb78a4f7d38e87c

refs/heads/main

2023-08-24T12:55:10.648741

2021-10-15T00:28:16

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# This file is Copyright (c) 2020 Gregory Davill <greg.davill@gmail.com> # License: BSD from litex.build.generic_platform import * def boson_syzygy_r0d1(syzygy_id=0): _id = f'SYZYGY{syzygy_id}' return [ ("Boson", 0, Subsignal("data", Pins(f'{_id}:S27 {_id}:P2C_CLKN {_id}:D5P {_id}:S26 \ {_id}:D7N {_id}:D2P {_id}:D2N {_id}:S17 \ {_id}:D1N {_id}:S16 {_id}:D5N {_id}:S18 \ {_id}:C2P_CLKN {_id}:S25 {_id}:D1P {_id}:D6P \ {_id}:D4P {_id}:D0P {_id}:D6N {_id}:S23 \ {_id}:'),IOStandard("LVCMOS18"),Misc("SLEWRATE=SLOW")), Subsignal("clk", Pins("A17"),IOStandard("LVCMOS18"),Misc("SLEWRATE=SLOW")), Subsignal("vsync", Pins("A13"),IOStandard("LVCMOS18"),Misc("SLEWRATE=SLOW")), Subsignal("hsync", Pins("D16"),IOStandard("LVCMOS18"),Misc("SLEWRATE=SLOW")), Subsignal("valid", Pins("C16"),IOStandard("LVCMOS18"),Misc("SLEWRATE=SLOW")), Subsignal("tx", Pins("A3"),IOStandard("LVCMOS18"),Misc("SLEWRATE=SLOW")), Subsignal("rx", Pins("B9"),IOStandard("LVCMOS18"),Misc("SLEWRATE=SLOW")), Subsignal("reset", Pins("B2"),IOStandard("LVCMOS18"),Misc("SLEWRATE=SLOW")), Subsignal("ext_sync", Pins("B18"),IOStandard("LVCMOS18"),Misc("SLEWRATE=SLOW")), Subsignal("rst_n", Pins("SYZYGY1:D5N"), IOStandard("LVCMOS18"),Misc("SLEWRATE=FAST TERMINATION=OFF")), Subsignal("clk_p", Pins("SYZYGY1:D4P"), IOStandard("LVCMOS18"),Misc("SLEWRATE=FAST TERMINATION=OFF")), Subsignal("clk_n", Pins("SYZYGY1:D4N"), IOStandard("LVCMOS18"),Misc("SLEWRATE=FAST TERMINATION=OFF")), Subsignal("cs_n", Pins("SYZYGY1:D6P"), IOStandard("LVCMOS18"),Misc("SLEWRATE=SLOW TERMINATION=OFF")), Subsignal("dq", Pins("SYZYGY1:D2N SYZYGY1:D0N SYZYGY1:D5P SYZYGY1:D2P SYZYGY1:D3P SYZYGY1:D1N SYZYGY1:D1P SYZYGY1:D0P"), IOStandard("LVCMOS18"),Misc("SLEWRATE=FAST TERMINATION=OFF")), Subsignal("rwds", Pins("SYZYGY1:D3N"), IOStandard("LVCMOS18"),Misc("SLEWRATE=FAST TERMINATION=OFF")), ), ]

[ "greg.davill@gmail.com" ]

greg.davill@gmail.com