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

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# Pattern.findall(string[, pos[, endpos]]) # findall() 함수와 유사한데, 컴파일된 패턴을 사용한다. # 하지만 search() 처럼 검색 영역을 제한하는 선택적 pos와 endpos 매개 변수도 받아들인다. import re p = re.compile("a") print(p.findall("abcabc")) # ['a', 'a']

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from trinity.plugins.registry import ( discover_plugins ) # This plugin is external to this code base and installed by tox # In order to install it locally run: # pip install -e trinity-external-plugins/examples/peer_count_reporter from peer_count_reporter_plugin import PeerCountReporterPlugin def test_plugin_discovery(): plugins = [type(plugin) for plugin in discover_plugins()] assert PeerCountReporterPlugin in plugins

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import sys def max_sub_array(array): max_sum = -sys.maxsize - 1 temp_sum = 0 for x in range(len(array)): print("entered for loop") if array[x] >= 0: temp_sum += array[x] if temp_sum > max_sum: max_sum = temp_sum else: temp_sum += array[x] if temp_sum <0: temp_sum = 0 print(temp_sum,max_sum) print(max(max_sum,temp_sum)) # array = [1,2,3,-1,-5,-5,4] # array = [1,2,3,-1,-5,-5,4,3] # array = [1] # array = [0] # array = [-1] # array = [-1,-1,3,0,-100,101] # array = [1000,1,2,3,4,-2] array = [-100,-99,-9800,1000,-2,2000,-90,-9000] max_sub_array(array)

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/alipay/aop/api/domain/AlipayCommerceOperationPromoterRankingQueryModel.py

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#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * class AlipayCommerceOperationPromoterRankingQueryModel(object): def __init__(self): self._pid = None self._type = None self._user_id = None @property def pid(self): return self._pid @pid.setter def pid(self, value): self._pid = value @property def type(self): return self._type @type.setter def type(self, value): self._type = value @property def user_id(self): return self._user_id @user_id.setter def user_id(self, value): self._user_id = value def to_alipay_dict(self): params = dict() if self.pid: if hasattr(self.pid, 'to_alipay_dict'): params['pid'] = self.pid.to_alipay_dict() else: params['pid'] = self.pid if self.type: if hasattr(self.type, 'to_alipay_dict'): params['type'] = self.type.to_alipay_dict() else: params['type'] = self.type if self.user_id: if hasattr(self.user_id, 'to_alipay_dict'): params['user_id'] = self.user_id.to_alipay_dict() else: params['user_id'] = self.user_id return params @staticmethod def from_alipay_dict(d): if not d: return None o = AlipayCommerceOperationPromoterRankingQueryModel() if 'pid' in d: o.pid = d['pid'] if 'type' in d: o.type = d['type'] if 'user_id' in d: o.user_id = d['user_id'] return o

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from fugashi import Tagger, GenericTagger def main(): text = 'softbank' tagger = Tagger() gtagger = GenericTagger() print('Tagger:') print(tagger.parse(text)) for word in tagger(text): print(word.surface) print(word.feature) print() print('GenericTagger:') print(gtagger.parse(text)) for word in gtagger(text): print(word.surface) print(word.feature) print() print('DONE') if __name__ == '__main__': main()

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class Solution: # s, pattern都是字符串 def match(self, s, pattern): len_s = len(s) len_p = len(pattern) if len_s == 0 and len_p == 0: return True if len_s > 0 and len_p == 0: return False if len_p > 1 and pattern[1] == '*': if len_s > 0 and (s[0] == pattern[0] or pattern[0] == '.'): return self.match(s, pattern[2:]) or self.match(s[1:], pattern[2:]) or self.match(s[1:], pattern) else: return self.match(s, pattern[2:]) if len_s > 0 and (s[0] == pattern[0] or pattern[0] == '.'): return self.match(s[1:], pattern[1:]) return False

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#!/usr/bin/python # -*- coding: utf-8 -*- # created: 2015-05-19 """对失败的操作进行重试 TODO: 为 RPC 调用增加超时检测 - 当 rabbitmq 或者 rpc server 出现问题时，客户端不能长久等待。 """ import time import logging from twisted.internet.defer import inlineCallbacks, maybeDeferred, returnValue from gcommon.rpc import RpcServerException from gcommon.utils.counters import Sequence from gcommon.utils.timer import AsyncTimer logger = logging.getLogger('rpc') def patch_thrift_client(retrying, client): """为 thrift client 的类成员函数（RPC 接口函数）增加 retry 功能。 client -> Thrift Client class (not object). """ client_interface = client.__implemented__.declared[0] for name in client_interface._InterfaceClass_attrs: value = getattr(client, name, None) if callable(value): new_value = retrying.rpc_retry(value) setattr(client, name, new_value) class TwistedRetrying(object): """重试异步操作""" RETRY_INTERVAL = 1.1 STOP_MAX_RETRY_TIMES = 4 STOP_MAX_DELAY = 10 _sequence = Sequence() def __init__(self, identifier='', retry_interval=0, max_retry_times=0, max_delay=0): self.retry_interval = retry_interval or self.RETRY_INTERVAL self.max_retry_times = max_retry_times or self.STOP_MAX_RETRY_TIMES self.max_delay = max_delay or self.STOP_MAX_DELAY self._id = self._sequence.next_value() if identifier: self._id = "%06d.%s" % (self._id, identifier) else: self._id = "%06d" % self._id def rpc_retry(self, func): """Decorator""" @inlineCallbacks def __wrap(client_obj, *args, **kwargs): result = yield self.call(client_obj, func, *args, **kwargs) returnValue(result) __wrap.__name__ = func.__name__ return __wrap @inlineCallbacks def call(self, client_obj, func, *args, **kwargs): """带有重试功能的 RPC 调用 client_obj -> RPC client 实例 func -> 未绑定的 RPC client 成员函数 """ member_func = func.__get__(client_obj) result = yield self.call_member_func(member_func, *args, **kwargs) returnValue(result) @inlineCallbacks def call_member_func(self, func, *args, **kwargs): """带有重试功能的 RPC 调用""" start_time = int(round(time.time() * 1000)) attempt_number = 0 while True: attempt_number += 1 try: logger.debug('[%s] try rpc request: %s, %s, args: %s', attempt_number, self._id, func.__name__, args) result = yield maybeDeferred(func, *args, **kwargs) except RpcServerException, e: logger.warn('[%s] server error on rpc request: %s, error: %s', self._id, func.__name__, e) yield AsyncTimer.start(self.retry_interval) # 判断是否还可以继续重试 now_time = int(round(time.time() * 1000)) if (now_time - start_time > self.max_delay) or (attempt_number > self.max_retry_times): raise else: continue except Exception, e: logger.warn('[%s] unexpected error on rpc request: %s, error: %s', self._id, func.__name__, e) raise else: logger.debug('[%s] rpc request finished with result: %s', self._id, func.__name__, result) returnValue(result)

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import cv2 as cv import numpy as np from matplotlib import pyplot as plt from sklearn.decomposition import PCA SZ=20 bin_n = 16 # Number of bins affine_flags = cv.WARP_INVERSE_MAP|cv.INTER_LINEAR # 使用二阶矩矫正图像 def deskew(img): m = cv.moments(img) if abs(m['mu02']) < 1e-2: return img.copy() skew = m['mu11']/m['mu02'] M = np.float32([[1, skew, -0.5*SZ*skew], [0, 1, 0]]) # 图像的平移，参数:输入图像、变换矩阵、变换后的大小 img = cv.warpAffine(img, M, (SZ, SZ), flags=affine_flags) return img def hog(img): '''先用sobel提取轮廓信息再做轮廓信息的统计直方图''' # 计算图像的 X 方向和 Y 方向的 Sobel 导数(梯度滤波器) gx = cv.Sobel(img, cv.CV_32F, 1, 0) gy = cv.Sobel(img, cv.CV_32F, 0, 1) mag, ang = cv.cartToPolar(gx, gy) # 笛卡尔坐标转换为极坐标, → magnitude, angl bins = np.int32(bin_n*ang/(2*np.pi)) bin_cells = bins[:10,:10], bins[10:,:10], bins[:10,10:], bins[10:,10:] mag_cells = mag[:10,:10], mag[10:,:10], mag[:10,10:], mag[10:,10:] hists = [np.bincount(b.ravel(), m.ravel(), bin_n) for b, m in zip(bin_cells, mag_cells)] hist = np.hstack(hists) # hist 是64位的向量 return hist img = cv.imread('digits.png',0) if img is None: raise Exception("we need the digits.png image from samples/data here !") cells = [np.hsplit(row,100) for row in np.vsplit(img,50)] # 横轴切成50份 -> 每份纵轴切成100份 # 二分训练集和测试集 train_cells = [ i[:50] for i in cells ] test_cells = [ i[50:] for i in cells] deskewed = [list(map(deskew, row)) for row in train_cells] # 对训练集每个样例做抗扭曲处理 hogdata = [list(map(hog, row)) for row in deskewed] # 提取特征值 trainData = np.float32(hogdata).reshape(-1,64) # 显示特征值 print(trainData[0].shape) print(trainData[0]) pca = PCA(n_components=2, svd_solver='arpack') test_pca = trainData pca_mat = pca.fit_transform(test_pca) np.savetxt("trainMat.txt", pca_mat) pca_3d = PCA(n_components=3, svd_solver='arpack') test_pca_3d = trainData pca_mat = pca_3d.fit_transform(test_pca_3d) np.savetxt("trainMat_3D.txt", pca_mat) responses = np.repeat(np.arange(10),250)[:,np.newaxis] np.savetxt("labels.txt", responses) svm = cv.ml.SVM_create() svm.setKernel(cv.ml.SVM_LINEAR) svm.setType(cv.ml.SVM_C_SVC) svm.setC(2.67) svm.setGamma(5.383) svm.train(trainData, cv.ml.ROW_SAMPLE, responses) svm.save('svm_data.dat') # 预处理测试数据集 deskewed = [list(map(deskew,row)) for row in test_cells] hogdata = [list(map(hog,row)) for row in deskewed] testData = np.float32(hogdata).reshape(-1,bin_n*4) result = svm.predict(testData)[1] mask = result==responses correct = np.count_nonzero(mask) print(correct*100.0/result.size)

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# (c) 2016, Matt Davis <mdavis@ansible.com> # (c) 2016, Toshio Kuratomi <tkuratomi@ansible.com> # # This file is part of Ansible # # Ansible is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # Ansible is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Ansible. If not, see <http://www.gnu.org/licenses/>. # Make coding more python3-ish from __future__ import (absolute_import, division, print_function) __metaclass__ = type import sys import json from contextlib import contextmanager from io import BytesIO, StringIO from ansible_collections.f5.bigiq.tests.unit.compat import unittest from ansible.module_utils.six import PY3 from ansible.module_utils._text import to_bytes @contextmanager def swap_stdin_and_argv(stdin_data='', argv_data=tuple()): """ context manager that temporarily masks the test runner's values for stdin and argv """ real_stdin = sys.stdin real_argv = sys.argv if PY3: fake_stream = StringIO(stdin_data) fake_stream.buffer = BytesIO(to_bytes(stdin_data)) else: fake_stream = BytesIO(to_bytes(stdin_data)) try: sys.stdin = fake_stream sys.argv = argv_data yield finally: sys.stdin = real_stdin sys.argv = real_argv @contextmanager def swap_stdout(): """ context manager that temporarily replaces stdout for tests that need to verify output """ old_stdout = sys.stdout if PY3: fake_stream = StringIO() else: fake_stream = BytesIO() try: sys.stdout = fake_stream yield fake_stream finally: sys.stdout = old_stdout class ModuleTestCase(unittest.TestCase): def setUp(self, module_args=None): if module_args is None: module_args = {'_ansible_remote_tmp': '/tmp', '_ansible_keep_remote_files': False} args = json.dumps(dict(ANSIBLE_MODULE_ARGS=module_args)) # unittest doesn't have a clean place to use a context manager, so we have to enter/exit manually self.stdin_swap = swap_stdin_and_argv(stdin_data=args) self.stdin_swap.__enter__() def tearDown(self): # unittest doesn't have a clean place to use a context manager, so we have to enter/exit manually self.stdin_swap.__exit__(None, None, None)

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# 자료구조의 변경 # 커피숍 menu = {"커피", "우유", "주스"} print(menu, type(menu)) menu = list(menu) print(menu, type(menu)) menu = tuple(menu) print(men)

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from pylab import * from scipy import * from scipy import optimize from scipy import misc import math data = genfromtxt('col_mon_precisi_3.txt') coeff = genfromtxt('coeffic_matrix_315') xdata = data[:,0] ydata = data[:,1] cr = coeff[:,0] cg = coeff[:,1] cb = coeff[:,2] #zdata = sfasa ######################################### #r = (ydata[1348] + ydata[1347])/2 r = 0.0075 #g = (ydata[922] + ydata[923] + ydata[924] + ydata[925])/4 g = 0.0087 #b = (ydata[1131] + ydata[1132] + ydata[1133] + ydata[1134])/4 b = 0.00573 print('signal red = ', r) print('signal green = ', g) print('signal blue = ', b) ################################################ l = 718 ydata_norm = [] ydata_norm2 = [] for i in range(630): ydata_norm.append( r*(cr[math.modf(i/2)[1]])**2 + g*(cg[math.modf(i/2)[1]])**2 + b*(cb[math.modf(i/2)[1]])**2 ) ydata_norm2.append( (r*(cr[math.modf(i/2)[1]])**2 + g*(cg[math.modf(i/2)[1]])**2 + b*(cb[math.modf(i/2)[1]])**2)/( (cr[math.modf(i/2)[1]])**2 + (cg[math.modf(i/2)[1]])**2 + (cb[math.modf(i/2)[1]])**2) ) ydata_norm = array(ydata_norm) ydata_norm2 = array(ydata_norm2) xdata_norm = [] for i in range(630): xdata_norm.append(l+i) xdata_norm = array(xdata_norm) xdata1 = [] for i in range(630): xdata1.append(xdata[i+718]) #xdata1.append(xdata[i+718]*(1 - 30*i/(600*1348)) ) xdata1 = array(xdata1) ydata1 = [] for i in range(630): ydata1.append(ydata[i+718]) ydata1 = array(ydata1) sig_norm = [] for i in range(630): sig_norm.append(ydata1[i]/( (cr[math.modf(i/2)[1]])**2 + (cg[math.modf(i/2)[1]])**2 + (cb[math.modf(i/2)[1]])**2 ) ) sig_norm = array(sig_norm) ############################################## def fitfunc(x, *par): return par[0]*10**(-27) + par[1]*10**(-25)*x p0 = [1 , 6] #metti il valore inizialeee ##def fitfunc(x, *par): ## return par[0]*10**(-25)*x ## ##p0 = [5] #metti il valore inizialeee rc('font', size=15) #xlabel(r'$frequenza [Hz]$') #ylabel(r'$Gain $') #minorticks_on() #Attivare per scala bilog #xscale('log') #yscale('log') #xlim(80,30000) #ylim(35,103) ############################################################ #Parte per plot dati #grid('on', which = "both") #title("Bode Diagram Gain-Phase", size = 15) plot(xdata, ydata, linestyle="None",marker=".", color="black", markersize= 9, label='dati sperimentali') #plot(xdata1, sig_norm, linestyle="None",marker=".", color="red", markersize= 9, label='dati sp. norm.') #plot(xdata_norm, ydata_norm, linestyle="None",marker=".", color="green", markersize= 9, label='modello quadratico') plot(xdata_norm, ydata_norm2, linestyle="None",marker=".", color="blue", markersize= 9, label='modello normalizzato') #plot(xdata1, ydata1, linestyle="None",marker=".", color="brown", markersize= 10) title("Photovoltaic cell - response from monitor (quad)", size = 15) annotate("red", xy=(718, 0.0075), xycoords='data', xytext=(750, 0.005), textcoords='data', size=20, va="center", ha="center", arrowprops=dict(arrowstyle="simple", connectionstyle="arc3,rad=-0.4", color="r"), ) annotate("green", xy=(926, 0.0086), xycoords='data', xytext=(900, 0.0055), textcoords='data', size=20, va="center", ha="center", arrowprops=dict(arrowstyle="simple", connectionstyle="arc3,rad=-0.4", color="g"), ) annotate("blue", xy=(1130, 0.0055), xycoords='data', xytext=(1100, 0.0040), textcoords='data', size=20, va="center", ha="center", arrowprops=dict(arrowstyle="simple", connectionstyle="arc3,rad=-0.4", color="b"), ) legend() #errorbar(xdata, ydata, sigmay, sigmax, linestyle="None", color="black") #xscale('log') xlim(690,1370) ylim(0.001,0.022) xlabel(r'time $ [ms]$') ylabel(r'Tensione $ [V]$') grid('on', which = "both") out_file = open('intens_screen_week9.txt', 'w') out_file.write("#t(s)\tintens\n") i= 0 while i< len(xdata_norm): out_file.write("%s\t%s\n"%((xdata_norm[i]-718)/2, ydata_norm2[i])) i = i+2 out_file.close() savefig('dati_normal.png', dpi=400) show()

[ "lorenzo.perrone.lmp@gmail.com" ]

lorenzo.perrone.lmp@gmail.com

6bcffb1fb992aa4432f982b6faf84cacf761eb87

163bbb4e0920dedd5941e3edfb2d8706ba75627d

/Code/CodeRecords/2824/60891/284880.py

8c2661ffda0fed50b0e0e907e437fd1d941f63fa

[]

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

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UTF-8

Python

false

500

py

n_t_c = [int(i) for i in input().split()] n = n_t_c[0] t = n_t_c[1] c = n_t_c[2] p = [int(i) for i in input().split()] list_index = [] for i in range(n): if p[i] > t: list_index.append(i) list_num = [] if len(list_index) == 0: ans = n - (c - 1) else: list_num = [list_index[0] - 0] for i in range(len(list_index) - 1): list_num.append(list_index[i + 1] - list_index[i] - 1) ans = 0 for i in list_num: if i>=c: ans += i - (c - 1) print(ans)

[ "1069583789@qq.com" ]

1069583789@qq.com

882da9b06c3c8215bad47901f52fb0b1a2f538be

9e201dfe87446274995add9a1436d392ced616c9

/draco2/draco/__init__.py

0d19522fdb4d56bebbbeb78c05eaa465d8784dc1

[ "MIT" ]

permissive

geertj/draco2

9da00f68016a16a82be9c7556e08ca06611bba9b

3a533d3158860102866eaf603840691618f39f81

refs/heads/master

2021-01-01T06:45:37.111786

2007-04-30T13:37:00

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py

# vi: ts=8 sts=4 sw=4 et # # __init__.py: draco2.draco package definition # # This file is part of Draco2. Draco2 is free software and is made available # under the MIT license. Consult the file "LICENSE" that is distributed # together with this file for the exact licensing terms. # # Draco2 is copyright (c) 1999-2007 by the Draco2 authors. See the file # "AUTHORS" for a complete overview. # # $Revision: 1187 $

[ "geertj@gmail.com" ]

geertj@gmail.com

0a724a2e65e58755be2cbd93ecc23710dc2da8e5

0d4139330dda389664df2e79b397f8153e6c1189

/backend/site_management_25562/urls.py

726931ba898e10c60a17c2b354ef452b4cc09a43

[]

no_license

crowdbotics-apps/site-management-25562

d7a4d08ed286838814d892096510ca642e59a574

704d21f8eeec8f4bc20d4478e34e5196e76c03d0

refs/heads/master

2023-04-08T11:40:14.414118

2021-04-08T18:13:21

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UTF-8

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py

"""site_management_25562 URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path, include, re_path from django.views.generic.base import TemplateView from allauth.account.views import confirm_email from rest_framework import permissions from drf_yasg.views import get_schema_view from drf_yasg import openapi urlpatterns = [ path("", include("home.urls")), path("accounts/", include("allauth.urls")), path("modules/", include("modules.urls")), path("api/v1/", include("home.api.v1.urls")), path("admin/", admin.site.urls), path("users/", include("users.urls", namespace="users")), path("rest-auth/", include("rest_auth.urls")), # Override email confirm to use allauth's HTML view instead of rest_auth's API view path("rest-auth/registration/account-confirm-email/<str:key>/", confirm_email), path("rest-auth/registration/", include("rest_auth.registration.urls")), ] admin.site.site_header = "Site_Management" admin.site.site_title = "Site_Management Admin Portal" admin.site.index_title = "Site_Management Admin" # swagger api_info = openapi.Info( title="Site_Management API", default_version="v1", description="API documentation for Site_Management App", ) schema_view = get_schema_view( api_info, public=True, permission_classes=(permissions.IsAuthenticated,), ) urlpatterns += [ path("api-docs/", schema_view.with_ui("swagger", cache_timeout=0), name="api_docs") ] urlpatterns += [path("", TemplateView.as_view(template_name='index.html'))] urlpatterns += [re_path(r"^(?:.*)/?$", TemplateView.as_view(template_name='index.html'))]

[ "team@crowdbotics.com" ]

team@crowdbotics.com

edcb661a53d5e24b760420759edcc68d6943de55

0523136530c8caf2a7aacbc52aae43dc8998ca18

/ship.py

5b3fb775270d8b76d0692d8664f7cd786c3d7505

[]

no_license

irfan87/alien_invasion_pygame

1d90eb1914e16a84b8318af92dd102f3a4201313

71587cbb13d5ea157e325e19c439ceb94c029d5d

refs/heads/master

2020-07-06T17:13:44.520471

2019-08-20T03:12:58

203,088,226

0

null

2019-08-20T03:12:59

2019-08-19T03:00:27

Python

UTF-8

Python

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1,519

py

import pygame from pygame.sprite import Sprite class Ship(Sprite): # a class to manage the ship def __init__(self, ai_game): # initialize the ship and set its statring position super().__init__() self.screen = ai_game.screen self.screen_rect = ai_game.screen.get_rect() self.settings = ai_game.settings # load the space ship image self.image = pygame.image.load('images/ship.bmp') self.rect = self.image.get_rect() # start each new ship at the bottom center of the screen self.rect.midbottom = self.screen_rect.midbottom # store a decimal value for the ship's horizontal position self.x = float(self.rect.x) # movement flag self.moving_right = False self.moving_left = False def update(self): # update the ship's position based on the movement flag # update the ship's value, not the if self.moving_right and self.rect.right < self.screen_rect.right: self.x += self.settings.ship_speed if self.moving_left and self.rect.left > 0: self.x -= self.settings.ship_speed # update rect object form self.x self.rect.x = self.x def center_ship(self): # center the ship on the screen self.rect.midbottom = self.screen_rect.midbottom self.x = float(self.rect.x) def blitme(self): # draw the ship at its current location self.screen.blit(self.image, self.rect)

[ "nerve2009@yahoo.com" ]

nerve2009@yahoo.com

bb73179a28bb142c274961bea46d714b9cd87d26

923a3f7be34e10931936823df0740d5d845d26e5

/Courses/MCCT2009/Intro/execute_request.py

ff0b0046dc6b4bed302c6269c14964844dc8cb8d

[]

no_license

o-smirnov/public-documents

0572ccef548a321e70b8cad2e2f2c249926f017d

9e758ddf375c0f748376d2e37d0fea9661ed7c37

refs/heads/master

2021-01-15T23:40:03.183127

2015-06-04T17:18:22

31,723,928

1

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UTF-8

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py

# file: ../beginners_guide/execute_request.py from Timba.TDL import * from Timba.Meq import meq request_counter = 0 #------------------------------------------------------------------------ TDLRuntimeMenu("Parameters of the Request domain:", TDLOption('ropt_num_freq', 'nr of freq channels', [10,11,1,20,50,100], more=int, doc='nr of domain cells in the freq direction'), TDLOption('ropt_num_time', 'nr of time channels', [11,10,1,20,50,100], more=int, doc='nr of domain cells in the time direction'), TDLMenu("time size:", TDLOption('ropt_t1', 'start time (s)', [1.0,0.0,-1.0], more=float, doc='min time (s) of the domain (edge)'), TDLOption('ropt_t2', 'stop time (s)', [10.0,1.0], more=float, doc='max time (s) of the domain (edge)'), ), TDLMenu("freq size:", TDLOption('ropt_f1', 'start freq (Hz)', [1.0], more=float, doc='min freq (Hz) of the domain (edge)'), TDLOption('ropt_f2', 'stop freq (Hz)', [11.0], more=float, doc='max freq (Hz) of the domain (edge)'), ) ) #------------------------------------------------------------------------ def execute_request (mqs, node, # f1=None, f2=None, t1=None, t2=None, # num_freq=None, num_time=None, freq_offset=0.0, time_offset=0.0, parent=None, trace=False): """ Execute the given node with the specified time-freq domain (size and cells) The (optional) freq and time offsets are fractions of the domain size. """ foffset = (ropt_f1-ropt_f2)*freq_offset toffset = (ropt_t1-ropt_t2)*time_offset domain = meq.domain(ropt_f1+foffset, ropt_f2+foffset, ropt_t1+toffset, ropt_t2+toffset) cells = meq.cells(domain, num_freq=ropt_num_freq, num_time=ropt_num_time) global request_counter request_counter += 1 rqid = meq.requestid(request_counter) request = meq.request(cells, rqid=rqid) result = mqs.execute(node, request) return None #------------------------------------------------------------------------

[ "osmirnov@gmail.com" ]

osmirnov@gmail.com

5d6c44da5a001474f63de5209baa264dfce32af8

353626e216085601f8be641be4c775a563fdc95e

/word_discovery.py

c4428bb88d5996cf78f774e79fa5218f517f8dff

[]

no_license

houking-can/english-word-discovery

148729a4cda980b1b6a67ef49e6a934ffc53ac90

1c6276642ac360f411c9841daa2edd4bc4b959d2

refs/heads/master

2020-09-24T18:59:44.044460

2019-12-04T08:56:40

225,821,558

1

0

null

UTF-8

Python

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8,307

py

# ! -*- coding: utf-8 -*- import struct import os import math import logging from collections import Counter logging.basicConfig(level=logging.INFO, format=u'%(asctime)s - %(levelname)s - %(message)s') from tqdm import tqdm class KenlmNgrams: """加载Kenlm的ngram统计结果 vocab_file: Kenlm统计出来的词(字)表； ngram_file: Kenlm统计出来的ngram表； order: 统计ngram时设置的n，必须跟ngram_file对应； min_count: 自行设置的截断频数。 """ def __init__(self, vocab_file, ngram_file, order, min_count): self.vocab_file = vocab_file self.ngram_file = ngram_file self.order = order self.min_count = min_count self.read_chars() self.read_ngrams() def read_chars(self): f = open(self.vocab_file, encoding='utf-8') chars = f.read() f.close() chars = chars.split('\x00') self.chars = chars def read_ngrams(self): """读取思路参考https://github.com/kpu/kenlm/issues/201 """ self.ngrams = [{} for _ in range(self.order)] self.total = 0 size_per_item = self.order * 4 + 8 f = open(self.ngram_file, 'rb') filedata = f.read() filesize = f.tell() f.close() for i in tqdm(range(0, filesize, size_per_item)): s = filedata[i: i + size_per_item] n = self.unpack('l', s[-8:]) if n >= self.min_count: self.total += n c = [self.unpack('i', s[j * 4: (j + 1) * 4]) for j in range(self.order)] c = [self.chars[j] for j in c if j > 2] for j in range(len(c)): self.ngrams[j][' '.join(c[:j + 1])] = self.ngrams[j].get(' '.join(c[:j + 1]), 0) + n def unpack(self, t, s): return struct.unpack(t, s)[0] def write_corpus(texts, corpus): """将语料写到文件中，词与词(字与字)之间用空格隔开 """ print('exporting corpus...') with open(corpus, 'w', encoding='utf-8') as f: for s in texts: f.write(s) def write_vocab(corpus, vocab): print('writing vocab...') tmp = open(corpus, encoding='utf-8').read().split() words = [] for w in tqdm(tmp): w = w.strip('.') w = w.strip(',') w = w.strip(')') w = w.strip('(') w = w.strip('\'') w = w.strip('?') w = w.strip('!') w = w.strip('.') w = w.strip(',') w = w.strip(')') w = w.strip('(') w = w.strip('\'') w = w.strip('?') w = w.strip('!') words.append(w) words = list(Counter(words).items()) words.sort(key=lambda k: k[1], reverse=True) with open(vocab, 'w', encoding='utf-8') as f: for w in words: # f.write(w[0] + ' ' + str(w[1])+'\n') f.write(w[0] + '\n') def count_ngrams(corpus_file, order, vocab_file, ngram_file): """通过os.system调用Kenlm的count_ngrams来统计频数 """ return os.system( '/home/yhj/paper/ijcai-2020/kenlm/build/bin/count_ngrams -o %s --write_vocab_list %s <%s >%s' % (order, vocab_file, corpus_file, ngram_file) ) def filter_ngrams(ngrams, total, min_pmi=1): """通过互信息过滤ngrams，只保留“结实”的ngram。 """ order = len(ngrams) if hasattr(min_pmi, '__iter__'): min_pmi = list(min_pmi) else: min_pmi = [min_pmi] * order output_ngrams = set() total = float(total) for i in range(order - 1, 0, -1): print('order: ', i) for w, v in tqdm(ngrams[i].items()): w = w.split(' ') pmi = min([ total * v / (ngrams[j].get(' '.join(w[:j + 1]), total) * ngrams[i - j - 1].get(' '.join(w[j + 1:]), total)) for j in range(i) ]) if math.log(pmi) >= min_pmi[i]: output_ngrams.add(' '.join(w)) return output_ngrams class SimpleTrie: """通过Trie树结构，来搜索ngrams组成的连续片段 """ def __init__(self): self.dic = {} self.end = True def add_word(self, word): _ = self.dic for c in word: if c not in _: _[c] = {} _ = _[c] _[self.end] = word def tokenize(self, sent): # 通过最长联接的方式来对句子进行分词 result = [] start, end = 0, 1 for i, c1 in tqdm(enumerate(sent), total=len(sent)): _ = self.dic if i == end: result.append(sent[start: end]) start, end = i, i + 1 for j, c2 in enumerate(sent[i:]): if c2 in _: _ = _[c2] if self.end in _: if i + j + 1 > end: end = i + j + 1 else: break result.append(sent[start: end]) return result def filter_vocab(candidates, ngrams, order): """通过与ngrams对比，排除可能出来的不牢固的词汇(回溯) """ result = {} for i, j in candidates.items(): if len(i) < 3: result[i] = j elif len(i) <= order and i in ngrams: result[i] = j elif len(i) > order: flag = True for k in range(len(i) + 1 - order): if i[k: k + order] not in ngrams: flag = False if flag: result[i] = j return result # ======= 算法构建完毕，下面开始执行完整的构建词库流程 ======= import re import glob import json # 语料生成器，并且初步预处理语料 # 这个生成器例子的具体含义不重要，只需要知道它就是逐句地把文本yield出来就行了 def text_generator(): txts = [os.path.join('./data', each) for each in os.listdir('./data')] for txt in txts: d = open(txt, encoding='utf-8').read() d = d.split('\n') res = '' for line in d: if '\t' in line: line = line.split('\t')[1] line.rstrip('.') line.strip() res += line + ' ' yield res min_count = 4 order = 6 corpus_file = 'scierc.corpus' # 语料保存的文件名 vocab_file = 'scierc.vocab' # 字符集保存的文件名 ngram_file = 'scierc.ngrams' # ngram集保存的文件名 output_file = 'scierc.phrase' # 最后导出的词表文件名 chars_file = 'scierc.chars' ngrams_json = 'scierc.ngrams.json' # write_corpus(text_generator(), corpus_file) # 将语料转存为文本 # write_vocab(corpus_file, vocab_file) # count_ngrams(corpus_file, order, chars_file, ngram_file) # 用Kenlm统计ngram # ngrams = KenlmNgrams(chars_file, ngram_file, order, min_count) # json.dump({'ngrams': ngrams.ngrams, 'total': ngrams.total}, open(ngrams_json, 'w'), indent=4) ngrams = json.load(open(ngrams_json)) ngrams = filter_ngrams(ngrams['ngrams'], ngrams['total'], [0, 2, 4, 6, 8, 10]) # 过滤ngram ngrams = list(ngrams) ngrams.sort(key=lambda k: (k, len(k))) with open(output_file, 'w') as f: f.write('\n'.join(ngrams)) # ngtrie = SimpleTrie() # 构建ngram的Trie树 # print('build ngram trie...') # for w in tqdm(ngrams): # _ = ngtrie.add_word(w) # # candidates = {} # 得到候选词 # print('discovering words...') # txts = [os.path.join('./data', each) for each in os.listdir('./data')] # for txt in txts: # d = open(txt, encoding='utf-8').read() # d = d.replace(u'\u3000', ' ').strip() # d = re.sub(u'[^\u4e00-\u9fa50-9a-zA-Z ]+', '\n', d) # print(txt, 'tokenizing...') # tokens = ngtrie.tokenize(d) # print(txt, 'gen candidates...') # for w in tqdm(tokens): # 预分词 # candidates[w] = candidates.get(w, 0) + 1 # # # 频数过滤 # candidates = {i: j for i, j in candidates.items() if j >= min_count} # # 互信息过滤(回溯) # candidates = filter_vocab(candidates, ngrams, order) # # # 输出结果文件 # with open(output_file, 'w', encoding='utf-8') as f: # for i, j in sorted(candidates.items(), key=lambda s: -s[1]): # s = '%s %s\n' % (i, j) # f.write(s)

[ "1240723224@qq.com" ]

1240723224@qq.com

4890cec1b8a3eaa8cba2cc2ab2ac83c56273c669

9d4a03990d94e9fb0248ec94875376c82139891a

/Python实战：四周实现爬虫系统/week_2/2_1/coed_of_video_test.py

3c7ec1007817205d0834c78e477ba2709266b5bf

[]

no_license

wenhaoliang/learn-python

114744f3c94859f665a998b03c6d5f5d908fb94d

bd31daa34cc79f3171a2e195c149af60a7e0ebed

refs/heads/master

2020-04-16T02:14:36.345629

2019-07-06T12:26:23

58,053,238

7

null

2017-07-21T09:35:55

2016-05-04T13:14:26

Python

UTF-8

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false

574

py

import pymongo client = pymongo.MongoClient('localhost',27017) walden = client['walden'] sheet_ta = walden['sheet_ta'] path = 'walden.txt' # with open(path,'r') as f: # lines = f.readlines() # for index,line in enumerate(lines): # data = { # '序列':index, # '句子' :line, # '单词数量':len(line.split()) # } # sheet_ta.insert_one(data) # $lt/$lte/$gt/$gte/$ne，依次等价于</<=/>/>=/!=。（l表示less g表示greater e表示equal n表示not ） for item in sheet_ta.find(): print(item)

[ "641541452@qq.com" ]

641541452@qq.com

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/library/built-in/database/dbm/ex.py

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volitilov/Python_learn

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import dbm # ::::::::::::::::::::::::::::::::::::::::::::::::::: db = dbm.open('test_db', 'c') db['color'] = 'yellow' db['base'] = 'postgresql' # print(len(db)) # 2 # print(db['base']) # b'postgresql' db.close()

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/nano2017/cfg2018/WZTo3LNu_0Jets_MLL-4to50_cfg.py

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PKUHEPEWK/ssww

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from WMCore.Configuration import Configuration from CRABClient.UserUtilities import config, getUsernameFromSiteDB config = Configuration() config.section_("General") config.General.requestName = 'WZTo3LNu_0Jets_MLL-4to50_2018' config.General.transferLogs= False config.section_("JobType") config.JobType.pluginName = 'Analysis' config.JobType.psetName = 'PSet.py' config.JobType.scriptExe = 'crab_script_2018.sh' config.JobType.inputFiles = ['crab_script_2018.py','ssww_keep_and_drop_2018.txt','ssww_output_branch_selection_2018.txt','haddnano.py'] #hadd nano will not be needed once nano tools are in cmssw config.JobType.sendPythonFolder = True config.section_("Data") config.Data.inputDataset = '/WZTo3LNu_0Jets_MLL-4to50_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18NanoAODv4-Nano14Dec2018_102X_upgrade2018_realistic_v16-v1/NANOAODSIM' #config.Data.inputDBS = 'phys03' config.Data.inputDBS = 'global' config.Data.splitting = 'FileBased' #config.Data.splitting = 'EventAwareLumiBased' config.Data.unitsPerJob = 20 config.Data.totalUnits = -1 config.Data.outLFNDirBase ='/store/user/%s/nano2018_v0' % (getUsernameFromSiteDB()) config.Data.publication = False config.Data.outputDatasetTag = 'WZTo3LNu_0Jets_MLL-4to50_2018' config.section_("Site") config.Site.storageSite = "T2_CN_Beijing" #config.Site.storageSite = "T2_CH_CERN" #config.section_("User") #config.User.voGroup = 'dcms'

[ "jiexiao@pku.edu.cn" ]

jiexiao@pku.edu.cn

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/examples/porta.py

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tigertv/secretpy

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refs/heads/master

2021-08-16T00:05:53.089587

2021-08-09T23:55:42

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#!/usr/bin/python # -*- encoding: utf-8 -*- from secretpy import Porta, CryptMachine, alphabets as al from secretpy.cmdecorators import UpperCase, Block, SaveAll alphabet = al.GERMAN plaintext = u"schweißgequältvomödentextzürnttypografjakob" key = u"schlüssel" cipher = Porta() print(plaintext) enc = cipher.encrypt(plaintext, key, alphabet) print(enc) dec = cipher.decrypt(enc, key, alphabet) print(dec) ####################################################### def encdec(machine, plaintext): print("--------------------------------------------------------------------") print(plaintext) enc = machine.encrypt(plaintext) print(enc) print(machine.decrypt(enc)) cm0 = CryptMachine(cipher, key) cm = cm0 cm.set_alphabet(al.ENGLISH) cm.set_key("keys") plaintext = "I don't love non-alphabet characters. I will remove all of them: ^,&@$~(*;?&#. Great!" encdec(cm, plaintext) cm = Block(cm, length=4, sep="::") plaintext = "This text is divided by blocks of length 5!" encdec(cm, plaintext) cm = SaveAll(cm0) plaintext = "I love non-alphabet characters. These are : ^,&@$~(*;?&#. That's it!" encdec(cm, plaintext) cm.set_alphabet(al.ENGLISH_SQUARE_IJ) plaintext = "Jj becomes Ii because we use ENGLISH_SQUARE_IJ!" encdec(cm, plaintext) cm.set_alphabet(al.JAPANESE_HIRAGANA) cm.set_key(u"かぎ") plaintext = u"text いろはにほへとちりぬるをわかよたれそつねならむうゐのおくやまけふこえてあさきゆめみしゑひもせす !" encdec(cm, plaintext) cm = UpperCase(cm) alphabet = al.GREEK cm.set_alphabet(alphabet) cm.set_key(u"κλειδί") plaintext = u"Θέλει αρετή και τόλμη η ελευθερία. (Ανδρέας Κάλβος)" encdec(cm, plaintext) ''' '''

[ "maxvetrov555@yandex.ru" ]

maxvetrov555@yandex.ru

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/190.reverse-bits.py

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elfgzp/Leetcode

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refs/heads/master

2023-08-21T23:11:38.265884

2020-10-17T11:55:45

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MIT

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2019-02-01T03:14:49

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# # @lc app=leetcode.cn id=190 lang=python # # [190] 颠倒二进制位 # # https://leetcode-cn.com/problems/reverse-bits/description/ # # algorithms # Easy (34.07%) # Total Accepted: 10.9K # Total Submissions: 28.7K # Testcase Example: '00000010100101000001111010011100' # # 颠倒给定的 32 位无符号整数的二进制位。 # # # # 示例 1： # # 输入: 00000010100101000001111010011100 # 输出: 00111001011110000010100101000000 # 解释: 输入的二进制串 00000010100101000001111010011100 表示无符号整数 43261596， # ⁠ 因此返回 964176192，其二进制表示形式为 00111001011110000010100101000000。 # # 示例 2： # # 输入：11111111111111111111111111111101 # 输出：10111111111111111111111111111111 # 解释：输入的二进制串 11111111111111111111111111111101 表示无符号整数 4294967293， # 因此返回 3221225471 其二进制表示形式为 10101111110010110010011101101001。 # # # # 提示： # # # 请注意，在某些语言（如 # Java）中，没有无符号整数类型。在这种情况下，输入和输出都将被指定为有符号整数类型，并且不应影响您的实现，因为无论整数是有符号的还是无符号的，其内部的二进制表示形式都是相同的。 # 在 Java 中，编译器使用二进制补码记法来表示有符号整数。因此，在上面的示例 2 中，输入表示有符号整数 -3，输出表示有符号整数 # -1073741825。 # # # # # 进阶: # 如果多次调用这个函数，你将如何优化你的算法？ # # class Solution: # @param n, an integer # @return an integer def reverseBits(self, n): bits = "{:0>32b}".format(n) return int(bits[::-1], 2)

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741424975@qq.com

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/third_party/WebKit/Tools/Scripts/webkitpy/layout_tests/views/buildbot_results.py

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[ "LGPL-2.0-or-later", "LicenseRef-scancode-warranty-disclaimer", "LGPL-2.1-only", "GPL-1.0-or-later", "GPL-2.0-only", "LGPL-2.0-only", "BSD-2-Clause", "LicenseRef-scancode-other-copyleft", "MIT", "Apache-2.0", "BSD-3-Clause" ]

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thngkaiyuan/chromium

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refs/heads/master

2022-11-10T02:50:29.326119

2017-04-08T12:28:57

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2022-10-25T19:47:15

2017-03-06T13:04:15

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# Copyright (C) 2012 Google Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following disclaimer # in the documentation and/or other materials provided with the # distribution. # * Neither the name of Google Inc. nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. from webkitpy.layout_tests.models import test_expectations from webkitpy.layout_tests.models.test_expectations import TestExpectations, TestExpectationLine from webkitpy.common.net.layout_test_results import LayoutTestResults class BuildBotPrinter(object): # This output is parsed by buildbots and must only be changed in coordination with buildbot scripts (see webkit.org's # Tools/BuildSlaveSupport/build.webkit.org-config/master.cfg: RunWebKitTests._parseNewRunWebKitTestsOutput # and chromium.org's buildbot/master.chromium/scripts/master/log_parser/webkit_test_command.py). def __init__(self, stream, debug_logging): self.stream = stream self.debug_logging = debug_logging def print_results(self, run_details): if self.debug_logging: self.print_run_results(run_details.initial_results) self.print_unexpected_results(run_details.summarized_full_results, run_details.enabled_pixel_tests_in_retry) def _print(self, msg): self.stream.write(msg + '\n') def print_run_results(self, run_results): failed = run_results.total_failures total = run_results.total passed = total - failed - run_results.remaining percent_passed = 0.0 if total > 0: percent_passed = float(passed) * 100 / total self._print("=> Results: %d/%d tests passed (%.1f%%)" % (passed, total, percent_passed)) self._print("") self._print_run_results_entry(run_results, test_expectations.NOW, "Tests to be fixed") self._print("") # FIXME: We should be skipping anything marked WONTFIX, so we shouldn't bother logging these stats. self._print_run_results_entry(run_results, test_expectations.WONTFIX, "Tests that will only be fixed if they crash (WONTFIX)") self._print("") def _print_run_results_entry(self, run_results, timeline, heading): total = len(run_results.tests_by_timeline[timeline]) not_passing = (total - len(run_results.tests_by_expectation[test_expectations.PASS] & run_results.tests_by_timeline[timeline])) self._print("=> %s (%d):" % (heading, not_passing)) for result in TestExpectations.EXPECTATION_DESCRIPTIONS.keys(): if result in (test_expectations.PASS, test_expectations.SKIP): continue results = (run_results.tests_by_expectation[result] & run_results.tests_by_timeline[timeline]) desc = TestExpectations.EXPECTATION_DESCRIPTIONS[result] if not_passing and len(results): pct = len(results) * 100.0 / not_passing self._print(" %5d %-24s (%4.1f%%)" % (len(results), desc, pct)) def print_unexpected_results(self, summarized_results, enabled_pixel_tests_in_retry=False): passes = {} flaky = {} regressions = {} def add_to_dict_of_lists(dict, key, value): dict.setdefault(key, []).append(value) def add_result(result): test = result.test_name() actual = result.actual_results().split(" ") expected = result.expected_results().split(" ") if result.did_run_as_expected(): # Don't print anything for tests that ran as expected. return if actual == ['PASS']: if 'CRASH' in expected: add_to_dict_of_lists(passes, 'Expected to crash, but passed', test) elif 'TIMEOUT' in expected: add_to_dict_of_lists(passes, 'Expected to timeout, but passed', test) else: add_to_dict_of_lists(passes, 'Expected to fail, but passed', test) elif enabled_pixel_tests_in_retry and actual == ['TEXT', 'IMAGE+TEXT']: add_to_dict_of_lists(regressions, actual[0], test) elif len(actual) > 1 and bool(set(actual[1:]) & set(expected)): # We group flaky tests by the first actual result we got. add_to_dict_of_lists(flaky, actual[0], test) else: add_to_dict_of_lists(regressions, actual[0], test) test_results = LayoutTestResults(summarized_results) test_results.for_each_test(add_result) if len(passes) or len(flaky) or len(regressions): self._print("") if len(passes): for key, tests in passes.iteritems(): self._print("%s: (%d)" % (key, len(tests))) tests.sort() for test in tests: self._print(" %s" % test) self._print("") self._print("") if len(flaky): descriptions = TestExpectations.EXPECTATION_DESCRIPTIONS for key, tests in flaky.iteritems(): result_type = TestExpectations.EXPECTATIONS[key.lower()] self._print("Unexpected flakiness: %s (%d)" % (descriptions[result_type], len(tests))) tests.sort() for test in tests: result = test_results.result_for_test(test) actual = result.actual_results().split(" ") expected = result.expected_results().split(" ") # FIXME: clean this up once the old syntax is gone new_expectations_list = [TestExpectationLine.inverted_expectation_tokens[exp] for exp in list(set(actual) | set(expected))] self._print(" %s [ %s ]" % (test, " ".join(new_expectations_list))) self._print("") self._print("") if len(regressions): descriptions = TestExpectations.EXPECTATION_DESCRIPTIONS for key, tests in regressions.iteritems(): result_type = TestExpectations.EXPECTATIONS[key.lower()] self._print("Regressions: Unexpected %s (%d)" % (descriptions[result_type], len(tests))) tests.sort() for test in tests: result = test_results.result_for_test(test) actual = result.actual_results().split(" ") expected = result.expected_results().split(" ") new_expectations_list = [TestExpectationLine.inverted_expectation_tokens[exp] for exp in actual] self._print(" %s [ %s ]" % (test, " ".join(new_expectations_list))) self._print("") if len(summarized_results['tests']) and self.debug_logging: self._print("%s" % ("-" * 78))

[ "hedonist.ky@gmail.com" ]

hedonist.ky@gmail.com

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shobhit-nigam/qti_panda

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spain = [34, 67, 12, 55, 89] sep = '__' strx = sep.join(str(x) for x in spain) print(strx) # another way # list comprehensions

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dmonisankar/pythonworks

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# Train/Test Split + Fit/Predict/Accuracy # Now that you have learned about the importance of splitting your data into training and test sets, it's time to practice doing this on the digits dataset! After creating arrays for the features and target variable, you will split them into training and test sets, fit a k-NN classifier to the training data, and then compute its accuracy using the .score() method. # Instructions # Import KNeighborsClassifier from sklearn.neighbors and train_test_split from sklearn.model_selection. # Create an array for the features using digits.data and an array for the target using digits.target. # Create stratified training and test sets using 0.2 for the size of the test set. Use a random state of 42. Stratify the split according to the labels so that they are distributed in the training and test sets as they are in the original dataset. # Create a k-NN classifier with 7 neighbors and fit it to the training data. # Compute and print the accuracy of the classifier's predictions using the .score() method. # Import necessary modules from sklearn.neighbors import KNeighborsClassifier from sklearn.model_selection import train_test_split from sklearn import datasets import numpy as np import matplotlib.pyplot as plt digits = datasets.load_digits() # Create feature and target arrays X = digits.data y = digits.target # Split into training and test set X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state=42, stratify=y) # Create a k-NN classifier with 7 neighbors: knn knn = KNeighborsClassifier(n_neighbors=7) # Fit the classifier to the training data knn.fit(X_train,y_train) # Print the accuracy print(knn.score(X_test, y_test)) # ------------------------------------------------------------------------------------------------------------------------------- # Remember the model complexity curve that Hugo showed in the video? You will now construct such a curve for the digits dataset! In this exercise, you will compute and plot the training and testing accuracy scores for a variety of different neighbor values. By observing how the accuracy scores differ for the training and testing sets with different values of k, you will develop your intuition for overfitting and underfitting. # The training and testing sets are available to you in the workspace as X_train, X_test, y_train, y_test. In addition, KNeighborsClassifier has been imported from sklearn.neighbors. # Instructions # Inside the for loop: # Setup a k-NN classifier with the number of neighbors equal to k. # Fit the classifier with k neighbors to the training data. # Compute accuracy scores the training set and test set separately using the .score() method and assign the results to the train_accuracy and test_accuracy arrays respectively. # Setup arrays to store train and test accuracies neighbors = np.arange(1, 9) train_accuracy = np.empty(len(neighbors)) test_accuracy = np.empty(len(neighbors)) # Loop over different values of k for i, k in enumerate(neighbors): # Setup a k-NN Classifier with k neighbors: knn knn = KNeighborsClassifier(n_neighbors=k) # Fit the classifier to the training data knn.fit(X_train,y_train) #Compute accuracy on the training set train_accuracy[i] = knn.score(X_train, y_train) #Compute accuracy on the testing set test_accuracy[i] = knn.score(X_test, y_test) # Generate plot plt.title('k-NN: Varying Number of Neighbors') plt.plot(neighbors, test_accuracy, label = 'Testing Accuracy') plt.plot(neighbors, train_accuracy, label = 'Training Accuracy') plt.legend() plt.xlabel('Number of Neighbors') plt.ylabel('Accuracy') plt.show()

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das.monisankar@gmail.com

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/1290. Convert Binary Number in a Linked List to Integer.py

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themockingjester/leetcode-python-

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# Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution: def check(self,root): if root: self.s+=str(root.val) self.check(root.next) def getDecimalValue(self, head: ListNode) -> int: if head: self.s = "" self.check(head) print(self.s) return int(self.s,2)

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sashakrasnov/datacamp

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''' Merging DataFrames with outer join This exercise picks up where the previous one left off. The DataFrames revenue, managers, and sales are pre-loaded into your namespace (and, of course, pandas is imported as pd). Moreover, the merged DataFrames revenue_and_sales and sales_and_managers have been pre-computed exactly as you did in the previous exercise. The merged DataFrames contain enough information to construct a DataFrame with 5 rows with all known information correctly aligned and each branch listed only once. You will try to merge the merged DataFrames on all matching keys (which computes an inner join by default). You can compare the result to an outer join and also to an outer join with restricted subset of columns as keys. ''' import pandas as pd revenue = pd.DataFrame({ 'branch_id': [10, 20, 30, 47], 'city': ['Austin', 'Denver', 'Springfield', 'Mendocino'], 'revenue': [100, 83, 4, 200], 'state': ['TX', 'CO', 'IL', 'CA'] }) managers = pd.DataFrame({ 'branch': ['Austin', 'Denver', 'Mendocino', 'Springfield'], 'branch_id': [10, 20, 47, 31], 'manager': ['Charles', 'Joel', 'Brett', 'Sally'], 'state': ['TX', 'CO', 'CA', 'MO'] }) sales = pd.DataFrame({ 'city': [ 'Mendocino', 'Denver', 'Austin', 'Springfield', 'Springfield'], 'state': ['CA', 'CO', 'TX', 'MO', 'IL'], 'units': [1, 4, 2, 5, 1] }) revenue_and_sales = pd.merge(revenue, sales, how='right', on=['city','state']) sales_and_managers = pd.merge(sales, managers, how='left', left_on=['city','state'], right_on=['branch','state']) ''' INSTRUCTIONS * Merge sales_and_managers with revenue_and_sales. Store the result as merge_default. * Print merge_default. This has been done for you. * Merge sales_and_managers with revenue_and_sales using how='outer'. Store the result as merge_outer. * Print merge_outer. This has been done for you. * Merge sales_and_managers with revenue_and_sales only on ['city','state'] using an outer join. Store the result as merge_outer_on and hit 'Submit Answer' to see what the merged DataFrames look like! ''' # Perform the first merge: merge_default merge_default = pd.merge(sales_and_managers, revenue_and_sales) # Print merge_default print(merge_default) # Perform the second merge: merge_outer merge_outer = pd.merge(sales_and_managers, revenue_and_sales, how='outer') # Print merge_outer print(merge_outer) # Perform the third merge: merge_outer_on merge_outer_on = pd.merge(sales_and_managers, revenue_and_sales, on=['city','state'], how='outer') # Print merge_outer_on print(merge_outer_on) ''' > revenue_and_sales branch_id city revenue state units 0 10.0 Austin 100.0 TX 2 1 20.0 Denver 83.0 CO 4 2 30.0 Springfield 4.0 IL 1 3 47.0 Mendocino 200.0 CA 1 4 NaN Springfield NaN MO 5 > sales_and_managers city state units branch branch_id manager 0 Mendocino CA 1 Mendocino 47.0 Brett 1 Denver CO 4 Denver 20.0 Joel 2 Austin TX 2 Austin 10.0 Charles 3 Springfield MO 5 Springfield 31.0 Sally 4 Springfield IL 1 NaN NaN NaN > merge_default city state units branch branch_id manager revenue 0 Mendocino CA 1 Mendocino 47.0 Brett 200.0 1 Denver CO 4 Denver 20.0 Joel 83.0 2 Austin TX 2 Austin 10.0 Charles 100.0 > merge_outer city state units branch branch_id manager revenue 0 Mendocino CA 1 Mendocino 47.0 Brett 200.0 1 Denver CO 4 Denver 20.0 Joel 83.0 2 Austin TX 2 Austin 10.0 Charles 100.0 3 Springfield MO 5 Springfield 31.0 Sally NaN 4 Springfield IL 1 NaN NaN NaN NaN 5 Springfield IL 1 NaN 30.0 NaN 4.0 6 Springfield MO 5 NaN NaN NaN NaN > merge_outer_on city state units_x branch branch_id_x manager branch_id_y revenue units_y 0 Mendocino CA 1 Mendocino 47.0 Brett 47.0 200.0 1 1 Denver CO 4 Denver 20.0 Joel 20.0 83.0 4 2 Austin TX 2 Austin 10.0 Charles 10.0 100.0 2 3 Springfield MO 5 Springfield 31.0 Sally NaN NaN 5 4 Springfield IL 1 NaN NaN NaN 30.0 4.0 1 '''

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# Generated by Django 2.2.12 on 2021-01-13 07:22 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Publisher', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=50, unique=True, verbose_name='出版社名')), ], ), migrations.CreateModel( name='Book', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=50, verbose_name='书名')), ('publisher', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='otm.Publisher')), ], ), ]

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895854566@qq.com

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/catkin_ws/src/robot_python/nodes/int_adp_imp_gazebo_node.py

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xtyzhen/Multi_arm_robot

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2021-03-10T12:04:36

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#!/usr/bin/env python # -*-coding:utf-8-*- #本文档用于上层积分自适应阻抗控制仿真 #程序员：陈永厅 #版权：哈尔滨工业大学 #日期：初稿：2020.1.11 import rospy from std_msgs.msg import Float64MultiArray from sensor_msgs.msg import JointState from geometry_msgs.msg import WrenchStamped import threading import time import numpy as np #自定义函数 from robot_python import ImpedanceControl as imc from robot_python import integral_adaption_impedance_controller as ia_imc ##定义全局变量 F = np.zeros(6) qq = np.zeros(7) ##关节角订阅函数 def joint_callback(msg): global qq global X global n for i in range(7): qq[i] = msg.position[i] ##六维力回调函数 def force_callback(msg): global F Fe = np.zeros(6) Fe[0] = msg.wrench.force.x Fe[1] = msg.wrench.force.y Fe[2] = msg.wrench.force.z Fe[3] = msg.wrench.torque.x Fe[4] = msg.wrench.torque.y Fe[5] = msg.wrench.torque.z #对力进行坐标变换，同时更新最新时刻的力 F = imc.force_end_to_base(qq, Fe) ##末端力订阅线程 def thread_spin(): rospy.spin() ##阻抗控制运行节点 def node_cloop(pub): ##控制参数 global F #当前3时刻位置偏差，全局变量 global qq #当前关节角位置 Ex = np.zeros([3, 6]) #最近3时刻位置位置偏差 Ef = np.zeros([4, 6]) #最近4个时刻末端力偏差 T = 0.01 #时间周期 Fd = np.zeros(6) [Xd, qq_init] = ia_imc.get_init_expect_pos() #末端期望位姿,可放入循环中 qq_guess = np.copy(qq_init) [Md, Bd, Kd, Ki] = ia_imc.get_imc_parameter() #可放入循环中，实时改变参数 rate = rospy.Rate(100) while not rospy.is_shutdown(): #更新末端力与期望位力的误差 Ef[0, :] = Ef[1, :] Ef[1, :] = Ef[2, :] Ef[2, :] = Ef[3, :] Ef[3, :] = F - Fd #调用积分自适应阻抗实时计算修正修正值 ia_imc.get_current_error(Md, Bd, Kd, Ki,T, Ef, Ex) #通过引用改变内部参数 print "当前末端力：%s" % F print "当前关节角：%s" % qq print "误差计算：%s" % Ex[2,:] qr = imc.get_current_joint(Xd, Ex[2, :], qq_guess) command_data = Float64MultiArray() command_data.data = qr print "当前command关节角：%s" % qr pub.publish(command_data) rate.sleep() def main(): rospy.init_node('ImpendanceController_node') rospy.Subscriber('/robot1/joint_states', JointState, joint_callback) rospy.Subscriber('/robot1/ft_sensor_topic', WrenchStamped, force_callback) pub = rospy.Publisher('/robot1/armc_position_controller/command', Float64MultiArray, queue_size=10) #建立用于引用的变量 t1 = threading.Thread(target=thread_spin) # 末端位置订阅线程 print "Impendance controller begain run!;" t1.start() node_cloop(pub) if __name__ == '__main__': main()

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qyz146006@163.com

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/vigenere.py

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informatiquecsud/cs-simply-utils

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from utils import alphabet, shift_char class VigenereCypher: def __init__(self, key): self.key = [0] * len(key) alpha = alphabet() for i, el in enumerate(key): if isinstance(el, int): self.key[i] = el elif isinstance(el, str): if el in '0123456789': self.key[i] = int(el) elif el == '_': self.key[i] = el elif el in alpha: self.key[i] = ord(el.upper()) - ord('A') # try: # int(key) # self.key = [int(c) for c in key] # except: # self.key = [ord(c) - ord('A') for c in key] def encrypt(self, message, key=None): key = key or self.key N = len(key) result = [''] * len(message) for i, char in enumerate(message): result[i] = shift_char(char, key[i % N]) if key[i % N] != '_' else key[i % N] return ''.join(result) def decrypt(self, crypted): return self.encrypt(crypted, key=[-k if isinstance(k, int) else k for k in self.key]) if __name__ == "__main__": c = VigenereCypher(key='BC') assert c.key == [1, 2] c = VigenereCypher(key='26') assert c.key == [2, 6] crypted = c.encrypt('LINFORMATIQUESIMPLEMENT') print(crypted) print(c.decrypt('NOPLQXOGVOSAGYKSRRGSGTV')) crypted = 'OGOPFFJGDNFXFTTVFPHGIGJOTEITJHUGOFFTHGTEIKDJUG' # for i in range(1, 26): for i in [1]: for j in range(1, 26): c = VigenereCypher(key=[i, j]) print(c.decrypt(crypted)) print(i, j) message = 'NOMMEZLESCODESSECRETSLESPLUSCELEBRESDELHISTOIRE' c = VigenereCypher(key=[1, 2]) print(c.encrypt(message))

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cedonner@gmail.com

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/0355_Design_Twitter/solution.py

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[]

no_license

benjaminhuanghuang/ben-leetcode

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a2cd0dc5e098080df87c4fb57d16877d21ca47a3

refs/heads/master

2022-12-10T02:30:06.744566

2022-11-27T04:06:52

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''' 355. Design Twitter Design a simplified version of Twitter where users can post tweets, follow/unfollow another user and is able to see the 10 most recent tweets in the user's news feed. Your design should support the following methods: postTweet(userId, tweetId): Compose a new tweet. getNewsFeed(userId): Retrieve the 10 most recent tweet ids in the user's news feed. Each item in the news feed must be posted by users who the user followed or by the user herself. Tweets must be ordered from most recent to least recent. follow(followerId, followeeId): Follower follows a followee. unfollow(followerId, followeeId): Follower unfollows a followee. ''' import collections # https://www.hrwhisper.me/leetcode-design-twitter/ class Twitter(object): def __init__(self): """ Initialize your data structure here. """ self.tweets_cnt = 0 self.tweets = collections.defaultdict(list) self.follower_ship = collections.defaultdict(set) def postTweet(self, userId, tweetId): """ Compose a new tweet. :type userId: int :type tweetId: int :rtype: void """ self.tweets[userId].append([tweetId, self.tweets_cnt]) self.tweets_cnt += 1 def getNewsFeed(self, userId): """ Retrieve the 10 most recent tweet ids in the user's news feed. Each item in the news feed must be posted by users who the user followed or by the user herself. Tweets must be ordered from most recent to least recent. :type userId: int :rtype: List[int] """ recent_tweets = [] user_list = list(self.follower_ship[userId]) + [userId] userId_tweet_index = [[userId, len(self.tweets[userId]) - 1] for userId in user_list if userId in self.tweets] for _ in xrange(10): max_index = max_tweet_id = max_user_id = -1 for i, (user_id, tweet_index) in enumerate(userId_tweet_index): if tweet_index >= 0: tweet_info = self.tweets[user_id][tweet_index] if tweet_info[1] > max_tweet_id: max_index, max_tweet_id, max_user_id = i, tweet_info[1], user_id if max_index < 0: break recent_tweets.append(self.tweets[max_user_id][userId_tweet_index[max_index][1]][0]) userId_tweet_index[max_index][1] -= 1 return recent_tweets def follow(self, followerId, followeeId): """ Follower follows a followee. If the operation is invalid, it should be a no-op. :type followerId: int :type followeeId: int :rtype: void """ if followerId != followeeId: self.follower_ship[followerId].add(followeeId) def unfollow(self, followerId, followeeId): """ Follower unfollows a followee. If the operation is invalid, it should be a no-op. :type followerId: int :type followeeId: int :rtype: void """ if followerId in self.follower_ship and followeeId in self.follower_ship[followerId]: self.follower_ship[followerId].remove(followeeId)

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bhuang@rms.com

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/geomdl/vis.py

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[ "MIT", "Python-2.0" ]

permissive

Mopolino8/NURBS-Python

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2020-04-17T22:29:48.418346

2019-01-18T17:09:19

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""" .. module:: vis :platform: Unix, Windows :synopsis: Provides abstract base classes for visualization modules .. moduleauthor:: Onur Rauf Bingol <orbingol@gmail.com> """ import abc import six from typing import Any, Sequence, List # Initialize an empty __all__ for controlling imports __all__ = [] @six.add_metaclass(abc.ABCMeta) class VisConfigAbstract(object): """ Abstract base class for user configuration of the visualization module Defines an abstract base for NURBS-Python visualization configuration. """ def __init__(self, **kwargs): # type: (**Any) -> None pass @six.add_metaclass(abc.ABCMeta) class VisAbstract(object): """ Abstract base class for visualization Defines an abstract base for NURBS-Python visualization modules. :param config: configuration class :type config: VisConfigAbstract """ def __init__(self, config): # type: (VisConfigAbstract()) -> None if not isinstance(config, VisConfigAbstract): raise TypeError("Config variable must be an instance of vis.VisAbstractConfig") self._user_config = config self._module_config = {'ctrlpts': 'points', 'evalpts': 'points', 'others': None} self._plots = [] # type: List[dict] self._ctrlpts_offset = 0.0 def clear(self): # type: () -> None """ Clears the points, colors and names lists. """ self._plots[:] = [] def add(self, ptsarr, plot_type, name="", color=""): # type: (Sequence[Sequence[float]], str, str, str) -> None """ Adds points sets to the visualization instance for plotting. :param ptsarr: control or evaluated points :type ptsarr: list, tuple :param plot_type: type of the plot, e.g. ctrlpts, evalpts, bbox, etc. :type plot_type: str :param name: name of the plot displayed on the legend :type name: str :param color: plot color :type color: str """ # ptsarr can be a list, a tuple or an array if ptsarr is None or len(ptsarr) == 0: return # Add points, size, plot color and name on the legend elem = {'ptsarr': ptsarr, 'name': name, 'color': color, 'type': plot_type} self._plots.append(elem) @property def vconf(self): # type: () -> VisConfigAbstract() """ User configuration class for visualization :getter: Gets the user configuration class :type: vis.VisConfigAbstract """ return self._user_config @property def mconf(self): # type: () -> dict """ Visualization module internal configuration directives This property controls the internal configuration of the visualization module. It is for advanced use and testing only. The visualization module is mainly designed to plot the control points (*ctrlpts*) and the surface points (*evalpts*). These are called as *plot types*. However, there is more than one way to plot the control points and the surface points. For instance, a control points plot can be a scatter plot or a quad mesh, and a surface points plot can be a scatter plot or a tessellated surface plot. This function allows you to change the type of the plot, e.g. from scatter plot to tessellated surface plot. On the other than, some visualization modules also defines some specialized classes for this purpose as it might not be possible to change the type of the plot at the runtime due to visualization library internal API differences (i.e. different backends for 2- and 3-dimensional plots). By default, the following plot types and values are available: Curve: * For control points (*ctrlpts*): points * For evaluated points (*evalpts*): points Surface: * For control points (*ctrlpts*): points, quads, quadmesh * For evaluated points (*evalpts*): points, quads, triangles Volume: * For control points (*ctrlpts*): points * For evaluated points (*evalpts*): points, voxels :getter: Gets the visualization module configuration :setter: Sets the visualization module configuration """ return self._module_config @mconf.setter def mconf(self, value): # type: (Sequence[str]) -> None if not isinstance(value[0], str) or not isinstance(value[1], str): raise TypeError("Plot type and its value should be string type") if value[0] not in self._module_config.keys(): raise KeyError(value[0] + " is not a configuration directive. Possible directives: " + ", ".join([k for k in self._module_config.keys()])) self._module_config[value[0]] = value[1] @property def ctrlpts_offset(self): # type: () -> float """ Defines an offset value for the control points grid plots Only makes sense to use with surfaces with dense control points grid. :getter: Gets the offset value :setter: Sets the offset value :type: float """ return self._ctrlpts_offset @ctrlpts_offset.setter def ctrlpts_offset(self, offset_value): # type: (float) -> None self._ctrlpts_offset = float(offset_value) def size(self, plot_type): # type: (str) -> int """ Returns the number of plots defined by the plot type. :param plot_type: plot type :type plot_type: str :return: number of plots defined by the plot type :rtype: int """ count = 0 for plot in self._plots: if plot['type'] == plot_type: count += 1 return count def animate(self, **kwargs): # type: (**Any) -> None """ Generates animated plots (if supported). If the implemented visualization module supports animations, this function will create an animated figure. Otherwise, it will call :py:meth:`render` method by default. """ # Call render() by default self.render(**kwargs) @abc.abstractmethod def render(self, **kwargs): # type: (**Any) -> None """ Abstract method for rendering plots of the point sets. This method must be implemented in all subclasses of ``VisAbstract`` class. """ # We need something to plot if self._plots is None or len(self._plots) == 0: raise ValueError("Nothing to plot")

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jiangyuwei666/my-study-demo

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""" 两个指针首先两个指针都在头部，然后让第一个指针移动k-1个位置，此时第一个指针指向+k个位置的那个节点。这个时候再同时移动两个节点当第一个指针移动到最后一个节点是时，第二个指针就指向了-k位置的节点。 """ class ListNode: def __init__(self, x): self.x = x self.next = None def init_list(num_list): node_list = [] for i in num_list: node = ListNode(i) node_list.append(node) for j in range(len(node_list)): if j == len(node_list) - 1: return node_list[0] node_list[j].next = node_list[j + 1] def print_list(head): result = [] while head: result.append(head.x) head = head.next return result def get_value(head, k): """ :param head: 传入链表的头节点 :param k:传入k :return: 返回-k位置的值 """ if k < 0: return "你输你🐎个🔨" first = head second = head for i in range(k - 1): if not first: return "k比他🐎滴链表还长" first = first.next # 此时first指向第+k个元素 while first.next: first = first.next second = second.next return second.x head = init_list([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) print(get_value(head, 3)) print(get_value(head, -1)) print(get_value(head, 123)) print(get_value(head, 10))

[ "739843128@qq.com" ]

739843128@qq.com

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jayd2446/cuda_html_ops

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refs/heads/master

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import re from cudatext import * REGEX1 = r'\bclass\s*=\s*"(.+?)"' REGEX2 = r"\bclass\s*=\s*'(.+?)'" def do_html_to_css_clipboard(compact): text = ed.get_text_sel() if not text: return res = re.findall(REGEX1, text, 0) + re.findall(REGEX2, text, 0) res = sorted(list(set(res))) if not res: msg_status('No CSS classes found') app_proc(PROC_SET_CLIP, '') return text_in = ' ' if compact else '\n\n' out = ['.'+name+' {'+text_in+'}\n' for name in res] text = '\n'.join(out)+'\n' app_proc(PROC_SET_CLIP, text) msg_status('CSS styles ({}) copied to clipboard'.format(len(res)) )

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support@uvviewsoft.com

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/tasks/utils.py

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[]

no_license

pmav99/fastapi_docker_compose

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2020-03-24T14:06:22

Dockerfile

UTF-8

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import contextlib import os import pathlib @contextlib.contextmanager def chdir(dirname: str): curdir = os.getcwd() try: os.chdir(dirname) yield finally: os.chdir(curdir)

[ "pmav99@gmail.com" ]

pmav99@gmail.com

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/hris/api/users.py

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[]

no_license

RobusGauli/hris_new

30ef8d17aceceb5f6c8f69f65df508228cb31f33

634f18d162310df9331543f7a877cac619ee1622

refs/heads/master

2021-01-19T21:55:39.279378

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from hris.utils import hash_password, gen_access_token, decode_access_token from flask import request, abort, jsonify, g from functools import wraps from hris.api import api from sqlalchemy.exc import IntegrityError #foreign key violation #this won't come up oftern from sqlalchemy.orm.exc import NoResultFound from hris import db_session #auth ### from hris.models import ( User, CompanyDetail, Employee ) from hris.api.response_envelop import ( records_json_envelop, record_exists_envelop, record_json_envelop, record_created_envelop, record_notfound_envelop, record_updated_envelop, record_not_updated_env, fatal_error_envelop, missing_keys_envelop, length_require_envelop ) from hris.api.auth import ( allow_permission, create_update_permission, read_permission ) @api.route('/users', methods=['POST']) def register_user(): '''This view register the user by generating ht access token with the given role''' if request.args and request.args['action'] == 'register': #check if all key existst if not set(request.json.keys()) == {'user_name', 'password', 'role_id'}: return jsonify({'message' : 'missing keys'}) #lower case the user_name if any(len(val.strip()) < 5 for val in request.json.values() if isinstance(val, str)): return jsonify({'message' : 'Not adequate length of values'}) #lower case the user_name user_name = request.json['user_name'].strip().lower() role_id = request.json['role_id'] hashed_pass = hash_password(request.json['password'].encode()) #get the user access_token user_access_token = gen_access_token(role_id, user_name) user = User(user_name=user_name, password=hashed_pass, role_id=role_id, access_token=user_access_token.decode('utf-8')) try: db_session.add(user) db_session.commit() except IntegrityError as ie: #hadle the error here return record_exists_envelop() else: return jsonify({'message' : 'user_added_successfully', 'access_token' : user_access_token.decode('utf-8')}) elif request.args['action'] == 'login': if request.json: if not set(request.json.keys()) == {'user_name', 'password'}: return jsonify({'message' : 'missing keys'}) else: return jsonify({'message': 'json object'}) user_name = request.json['user_name'] password = request.json['password'] #now hass the password hashed_pass = hash_password(password) #get the user from the users for the password and user name try: user = db_session.query(User).filter(User.user_name==user_name).one() if not user: return record_notfound_envelop('User doesn\'t exists') #if there is user check for the password if hashed_pass == user.password: return record_json_envelop({'access_token' : user.access_token, 'activate' : user.activate, 'role_id' : user.role_id, 'permissions' : user.role.to_dict()}) else: return record_notfound_envelop('Password doesn\'t match') except NoResultFound as e: return record_notfound_envelop('User doesn\'t exists') ###to register the user with the employee elif request.args['action'] == 'registeruserforemployee': if not request.args.get('e_id', None): return 'please send the e_id' e_id = int(request.args['e_id']) if not set(request.json.keys()) == {'user_name', 'password', 'role_id'}: return jsonify({'message' : 'missing keys'}) #lower case the user_name if any(len(val.strip()) < 5 for val in request.json.values() if isinstance(val, str)): return jsonify({'message' : 'Not adequate length of values'}) #lower case the user_name user_name = request.json['user_name'].strip().lower() role_id = request.json['role_id'] hashed_pass = hash_password(request.json['password'].encode()) #get the user access_token user_access_token = gen_access_token(role_id, user_name) user = User(user_name=user_name, password=hashed_pass, role_id=role_id, access_token=user_access_token.decode('utf-8')) try: emp = db_session.query(Employee).filter(Employee.id==e_id).one() db_session.add(user) emp.user = user db_session.add(emp) db_session.commit() except IntegrityError as ie: #hadle the error here return record_exists_envelop() except NoResultFound as e: return record_notfound_envelop() else: return jsonify({'message' : 'user_added_successfully', 'access_token' : user_access_token.decode('utf-8'), 'status': 'success'}) @api.route('/company', methods=['POST']) def add_company_detail(): if not set(request.json.keys()) == {'name', 'currency_symbol', 'is_prefix', 'country', 'description'}: return missing_keys_envelop() if len(request.json['name']) < 4 or len(request.json['country']) < 3 or len(request.json['currency_symbol']) < 1: return length_require_envelop() #now shape up the fields name = request.json['name'].strip() currency_symbol = request.json['currency_symbol'].lower().strip() is_prefix = request.json['is_prefix'] country = request.json['country'].strip() des = request.json['description'].strip() company = CompanyDetail(name=name, currency_symbol=currency_symbol, is_prefix=is_prefix, country=country, description=des) try: db_session.add(company) db_session.commit() except IntegrityError as e: return record_exists_envelop() else: return record_created_envelop(request.json) @api.route('/users', methods = ['GET']) @read_permission('read_management_perm') def get_users(): try: users = db_session.query(User).filter(User.user_name != 'admin').all() except NoResultFound as e: return record_notfound_envelop() except Exception as e: return fatal_error_envelop() else: return records_json_envelop(list(user.to_dict() for user in users)) @api.route('/users/<int:u_id>', methods=['PUT']) @create_update_permission('user_management_perm') def update_user(u_id): if not request.json: abort(400) if not request.args.get('action') == 'update_role': if 'password' not in request.json.keys(): return missing_keys_envelop() try: user = db_session.query(User).filter(User.id==u_id).one() if user is None: return record_notfound_envelop() hashed_pass = hash_password(request.json['password'].encode()) old_hashed_pass = user.password if old_hashed_pass == hashed_pass: return jsonify({'message' : 'Please dont\'t use old password', 'status': 'fail'}) else: user.password = hashed_pass db_session.add(user) db_session.commit() except NoResultFound as e: return record_notfound_envelop() except Exception as e: return fatal_error_envelop() else: return record_updated_envelop('Password updated Successfully.') #update the role if 'role_id' not in request.json: return missing_keys_envelop() try: user = db_session.query(User).filter(User.id==u_id).one() if user is None: return record_notfound_envelop() user.role_id = int(request.json['role_id']) db_session.add(user) db_session.commit() except NoResultFound as e: return record_notfound_envelop() except Exception as e: raise return fatal_error_envelop() else: return record_updated_envelop('Role updated successfully.')

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

user@Users-MacBook-Air.local

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/DojoAssignments/Python2/PythonAssignments/Django/DjangoIntro/SessionWords/apps/session_words_app/views.py

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[]

no_license

DaseinUXD/CodingDojo

ba1d532750d61a21feb401243c49e05623e9b8c2

19b2d0f0ce9f8c9d08747438412e5c988073f385

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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.shortcuts import render, redirect, HttpResponse # Create your views here. # Index view def index(request): return render(request, 'session_words_app/index.html') def add(request): if request.method=="POST": return redirect('/') else: # do something else return redirect('/') def clear(request): return redirect('/')

[ "markmatthewsphd@gmail.com" ]

markmatthewsphd@gmail.com

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/Servidor/MET-Server-udp.py

c79bc598c86aa8500e06b913a44a9d4c03e14fb1

[]

no_license

Edresson/MET

9f7b8a43bdea29ee844d0c98a20f0aef4afbcdd2

5945116d0d52fdf8f892a5f266bf6b51afb529eb

refs/heads/master

2023-08-31T10:18:35.942324

2019-10-29T12:17:15

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# -*- coding: utf-8 -*- from threading import Thread from PyQt4 import QtTest from time import time import time from socket import * import Motor import celula serverSocketMotor = socket(AF_INET, SOCK_DGRAM) serverSocketMotor.bind(('', 12001)) serverSocketCelula = socket(AF_INET, SOCK_DGRAM) serverSocketCelula.bind(('', 12002)) class thread_motor(Thread): def run(self): global freq_botao inicio= time.time() while True: fim = time.time() if fim - inicio > 6: Motor.Parar() message, address = serverSocketMotor.recvfrom(1024) message = str(message).replace("b'",'') message = message.replace("'",'') if message == "1": inicio = time.time() if message == "STOP": print('parar') serverSocketMotor.sendto(B'1', address) Motor.Parar() elif message == "ping": print('p') serverSocketMotor.sendto(B'ping', address) elif message[0:2] =='fb': print('fb') string,freqfb = message.split(':') Motor.freq_botao = float(freqfb) elif message[0:3] =='SeD': print('SeD') serverSocketMotor.sendto(B'1', address) string,vel,freq,controle,deslocamento = message.split(':') Motor.Subir_descer(float(vel),float(freq),int(controle),float(deslocamento)) elif message[0:3] =='Cal': print('cal') serverSocketMotor.sendto(B'1', address) cmd,valor,freq = message.split(':') Motor.calcular(float(valor),float(freq)) elif message =="SUBIR": print('Subir') serverSocketMotor.sendto(B'1', address) Motor.subir() elif message =="BAIXAR": print('Baixar') ####print(message) serverSocketMotor.sendto(B'1', address) Motor.baixar() class thread_celula(Thread): def run(self): while True: message, address = serverSocketCelula.recvfrom(1024) message = str(message).replace("b'",'') message = message.replace("'",'') if message == "gv": val = str(celula.getvalue()) val =val.encode() serverSocketCelula.sendto(val, address) elif message == "ping": serverSocketMotor.sendto(B'ping', address) elif message =='ca': val = str(celula.calibrar()) val =val.encode() serverSocketCelula.sendto(val, address) elif message[0:3] =='ini': serverSocketCelula.sendto(B'1', address) cmd,valor = message.split(':') celula.iniciarcel(float(valor)) elif message =="tr": serverSocketCelula.sendto(B'1', address) celula.tare() thrCelula=thread_celula() thrCelula.start() thrMotor = thread_motor() thrMotor.start()

[ "edresson1@gmail.com" ]

edresson1@gmail.com

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/0 Python Fundamental/32a5_readCSVasDICT_noCSVpkg.py

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[]

no_license

stevenwongso/Python_Fundamental_DataScience

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refs/heads/master

2021-01-04T07:32:11.856979

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# read csv as dict without csv package myfile = open('32a4.csv', 'r') data = [] for i in myfile.readlines()[1:]: no = int(i.split(';')[0]) nama = i.split(';')[1].replace('\n','') x = {'no': no, 'nama': nama} data.append(x) print(data)

[ "lintangwisesa@ymail.com" ]

lintangwisesa@ymail.com

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/Python/Scripts/weather3.py

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[]

no_license

NateWeiler/Resources

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bd4a8a82a3e83a381c97d19e5df42cbababfc66c

refs/heads/master

2023-09-03T17:50:31.937137

2023-08-28T23:50:57

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[ "nateweiler84@gmail.com" ]

nateweiler84@gmail.com

c2c3b84b358107d0e1be19f8975fcf001efefb02

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/cfn_model/model/IAMManagedPolicy.py

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permissive

rubelw/cloudformation-validator

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refs/heads/master

2020-03-23T18:31:29.084701

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from __future__ import absolute_import, division, print_function from cfn_model.model.ModelElement import ModelElement class IAMManagedPolicy(ModelElement): """ IAM managed policy model """ def __init__(self, cfn_model): """ Initialize :param cfn_model: """ ModelElement.__init__(self,cfn_model) self.groups = [] self.roles = [] self.users = [] self.policy_document=None self.resource_type= 'AWS::IAM::ManagedPolicy' def policy_document(self, document): """ Set the policy document :param document: :return: """ self.policy_document=document

[ "rubelwi@Wills-MacBook-Pro.local" ]

rubelwi@Wills-MacBook-Pro.local

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/pdt/core/admin/__init__.py

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[ "MIT" ]

permissive

AbdulRahmanAlHamali/pdt

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refs/heads/master

2020-05-15T07:51:09.877614

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"""PDT core admin interface.""" from .case import CaseAdmin # NOQA from .case_category import CaseCategoryAdmin # NOQA from .case_edit import CaseEditAdmin # NOQA from .ci_project import CIProjectAdmin # NOQA from .deployment_report import DeploymentReportAdmin # NOQA from .instance import InstanceAdmin # NOQA from .migration import MigrationAdmin # NOQA from .migration_report import MigrationReportAdmin # NOQA from .release import ReleaseAdmin # NOQA from .notification import NotificationTemplateAdmin # NOQA

[ "bubenkoff@gmail.com" ]

bubenkoff@gmail.com

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/samples/basic/crud/models/cisco-ios-xr/Cisco-IOS-XR-lib-keychain-cfg/nc-create-xr-lib-keychain-cfg-20-ydk.py

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[ "Apache-2.0" ]

permissive

itbj/ydk-py-samples

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refs/heads/master

2022-11-20T17:44:58.844428

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#!/usr/bin/env python # # Copyright 2016 Cisco Systems, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # """ Create configuration for model Cisco-IOS-XR-lib-keychain-cfg. usage: nc-create-xr-lib-keychain-cfg-20-ydk.py [-h] [-v] device positional arguments: device NETCONF device (ssh://user:password@host:port) optional arguments: -h, --help show this help message and exit -v, --verbose print debugging messages """ from argparse import ArgumentParser from urlparse import urlparse from ydk.services import CRUDService from ydk.providers import NetconfServiceProvider from ydk.models.cisco_ios_xr import Cisco_IOS_XR_lib_keychain_cfg \ as xr_lib_keychain_cfg import logging def config_keychains(keychains): """Add config data to keychains object.""" keychain = keychains.Keychain() keychain.chain_name = "CHAIN1" key = keychain.macsec_keychain.macsec_keys.MacsecKey() key.key_id = "10" key.macsec_key_string = key.MacsecKeyString() key.macsec_key_string.string = "101E584B5643475D5B547B79777C6663754356445055030F0F03055C504C430F0F" key.macsec_key_string.cryptographic_algorithm = xr_lib_keychain_cfg.MacsecCryptoAlg.aes_128_cmac key.macsec_key_string.encryption_type = xr_lib_keychain_cfg.MacsecEncryption.type7 key.macsec_lifetime = key.MacsecLifetime() key.macsec_lifetime.start_hour = 0 key.macsec_lifetime.start_minutes = 0 key.macsec_lifetime.start_seconds = 0 key.macsec_lifetime.start_date = 1 key.macsec_lifetime.start_month = xr_lib_keychain_cfg.KeyChainMonth.jan key.macsec_lifetime.start_year = 2017 key.macsec_lifetime.infinite_flag = True keychain.macsec_keychain.macsec_keys.macsec_key.append(key) keychains.keychain.append(keychain) if __name__ == "__main__": """Execute main program.""" parser = ArgumentParser() parser.add_argument("-v", "--verbose", help="print debugging messages", action="store_true") parser.add_argument("device", help="NETCONF device (ssh://user:password@host:port)") args = parser.parse_args() device = urlparse(args.device) # log debug messages if verbose argument specified if args.verbose: logger = logging.getLogger("ydk") logger.setLevel(logging.INFO) handler = logging.StreamHandler() formatter = logging.Formatter(("%(asctime)s - %(name)s - " "%(levelname)s - %(message)s")) handler.setFormatter(formatter) logger.addHandler(handler) # create NETCONF provider provider = NetconfServiceProvider(address=device.hostname, port=device.port, username=device.username, password=device.password, protocol=device.scheme) # create CRUD service crud = CRUDService() keychains = xr_lib_keychain_cfg.Keychains() # create object config_keychains(keychains) # add object configuration # create configuration on NETCONF device crud.create(provider, keychains) exit() # End of script

[ "deom119@gmail.com" ]

deom119@gmail.com

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/blog/admin.py

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[]

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DeepakDarkiee/stackunderflow

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refs/heads/master

2022-10-13T10:16:34.104129

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py

from django.contrib import admin from .models import Post, Comment ,Category,Contact from django_summernote.admin import SummernoteModelAdmin class PostAdmin(SummernoteModelAdmin): list_display = ('title', 'slug', 'status', 'category', 'created_on') list_filter = ('status', 'created_on' ,'category') search_fields = ['title', 'content'] summernote_fields = ('content') prepopulated_fields = {'slug': ('title',)} @admin.register(Comment) class CommentAdmin(admin.ModelAdmin): list_display = ('name', 'body', 'post', 'created_on', 'active') list_filter = ('active', 'created_on') search_fields = ('name', 'email', 'body') actions = ['approve_comments'] def approve_comments(self, request, queryset): queryset.update(active=True) class ContactAdmin(admin.ModelAdmin): list_display = ('name','email','Content', 'created_on') list_filter = ('email','created_on') search_fields = ('name', 'email', 'body') admin.site.register(Post, PostAdmin) admin.site.register(Category) admin.site.register(Contact,ContactAdmin)

[ "mdipakpatidar@gmail.com" ]

mdipakpatidar@gmail.com

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/source/webapp/forms.py

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[]

no_license

Azer-Denker/ex_9

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refs/heads/main

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from django import forms from webapp.models import Photo, Album class PhotoForm(forms.ModelForm): class Meta: model = Photo fields = ['photo_img', 'signature', 'album', 'status'] class AlbumForm(forms.ModelForm): class Meta: model = Album fields = ['name', 'description']

[ "azerarlen312@gmail.com" ]

azerarlen312@gmail.com

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/etcewrappers/emane/emaneshsnapshot.py

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[]

no_license

prj8121/python-etce

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refs/heads/master

2022-11-18T05:19:19.324966

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# # Copyright (c) 2015-2018 - Adjacent Link LLC, Bridgewater, New Jersey # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in # the documentation and/or other materials provided with the # distribution. # * Neither the name of Adjacent Link LLC nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE # COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN # ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # from __future__ import absolute_import, division, print_function import os.path from etce.wrapper import Wrapper try: from emanesh.emaneshell import ControlPortClient except: from emane.shell import ControlPortClient class EmaneshSnapshot(Wrapper): """ Log the stats, tables and config of a running emulator instance to file. """ def register(self, registrar): registrar.register_infile_name('emaneshsnapshot.flag') registrar.register_argument('controlportendpoint', '127.0.0.1:47000', 'The control port endpoint of the target ' \ 'EMANE instance.') def run(self, ctx): # query emane instance if there is a local platform file if not ctx.args.infile: return cp = None try: layermapping = {} ipaddr,port = ctx.args.controlportendpoint.split(':') cp = ControlPortClient(ipaddr, int(port)) logdirectory = ctx.args.logdirectory # nem 3 shim0(phyapitestshim) phy(universalphy) showfile = os.path.join(logdirectory, 'emaneshow.log') with open(showfile, 'w') as showf: for nemid, layertuples in list(cp.getManifest().items()): layermapping[nemid] = [] line = 'nem %d ' % nemid for buildid,layertype,layername in layertuples: layerlabel = '%d-%s' % (buildid, layertype.lower()) layermapping[nemid].append((buildid, layertype.lower(), layerlabel)) line += ' %s(%s)' % (layertype.lower(), layername) showf.write(line + '\n') # statistics statsfile = os.path.join(logdirectory, 'emanestats.log') with open(statsfile, 'w') as sf: # nems for nemid,layertuples in sorted(layermapping.items()): for buildid,_,layerlabel in layertuples: for statname,statval in sorted(cp.getStatistic(buildid).items()): sf.write('nem %d %s %s = %s\n' % (nemid, layerlabel, statname, str(statval[0]))) # emulator for statname,statval in sorted(cp.getStatistic(0).items()): sf.write('emulator %s = %s\n' % (statname, str(statval[0]))) # configuration configfile = os.path.join(logdirectory, 'emaneconfig.log') with open(configfile, 'w') as sf: # nems for nemid,layertuples in sorted(layermapping.items()): for buildid,_,layerlabel in layertuples: for configname,configvaltuples in sorted(cp.getConfiguration(buildid).items()): configvalstr = '' if configvaltuples: configvalstr = ','.join(map(str, list(zip(*configvaltuples))[0])) sf.write('nem %d %s %s = %s\n' % (nemid, layerlabel, configname, configvalstr)) # emulator for configname,configvaltuples in sorted(cp.getConfiguration(0).items()): configvalstr = '' if configvaltuples: configvalstr = ','.join(map(str, list(zip(*configvaltuples))[0])) sf.write('emulator %s = %s\n' % (configname, configvalstr)) # statistic tables tablefile = os.path.join(logdirectory, 'emanetables.log') with open(tablefile, 'w') as tf: # nems for nemid,layertuples in sorted(layermapping.items()): for buildid,layertype,_ in layertuples: for tablename,data in sorted(cp.getStatisticTable(buildid).items()): tf.write('nem %d %s %s\n' % (nemid, layertype, tablename)) self.write_table_cells(tf, data) # emulator for tablename,data in sorted(cp.getStatisticTable(0).items()): tf.write('emulator %s\n' % tablename) self.write_table_cells(tf, data) finally: if cp: cp.stop() def write_table_cells(self, tf, data): labels,rowtuples = data widths = []; for label in labels: widths.append(len(label)) rows = [] for rowtuple in rowtuples: rows.append(list(map(str, list(zip(*rowtuple))[0]))) for row in rows: for i,value in enumerate(row): widths[i] = max(widths[i],len(value)) line = '' for i,label in enumerate(labels): line += '|' + label.ljust(widths[i]) line += "|\n" tf.write(line) for row in rows: line = '' for i,value in enumerate(row): line += '|' + value.rjust(widths[i]) line += "|\n" tf.write(line) tf.write('\n') def stop(self, ctx): pass

[ "eschreiber@adjacentlink.com" ]

eschreiber@adjacentlink.com

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/alien.py

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turkey66/alien_invasion

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import pygame from pygame.sprite import Sprite class Alien(Sprite): """表示单个外星人的类""" def __init__(self, ai_settings, screen): """初始化外星人并设置其起始位置""" super().__init__() self.screen = screen self.ai_settings = ai_settings # 加载外星人图像，并设置其rect属性 self.image = pygame.image.load('images/alien.bmp') self.rect = self.image.get_rect() # 每个外星人最初都在屏幕左上角附近 self.rect.x = self.rect.width self.rect.y = self.rect.height # 储存外星人的准确位置 self.x = float(self.rect.x) def check_edges(self): """如果外星人位于屏幕边缘，就返回True""" screen_rect = self.screen.get_rect() if self.rect.right >= screen_rect.right: return True elif self.rect.left <= 0: return True def update(self): """向右或向左移动外星人""" self.x += self.ai_settings.alien_speed_factor * self.ai_settings.fleet_direction self.rect.x = self.x def blitme(self): """在指定位置绘制外星人""" self.screen.blit(self.image, self.rect)

[ "eric@example.com" ]

eric@example.com

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Na-Young-Lee/16PFA-Na-Young-Lee

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#-*-coding:cp949 from sys import argv # 시스템으로부터 매개변수를 가져온다 script, input_file = argv # 매개변수는 input_file(test.txt)이다. def print_all(f): # 함수 print_all, f는 변수 print(f.read()) # 이 파일의 모든 내용을 읽어라 def rewind(f): # 함수 rewind, f는 변수 f.seek(0) # 시작 위치로 돌아감. # seek(): 자기 테이프 위에 원하는 위차를 지정하기 위함. # seek(n): 시작위치로부터 n byte 위치의 자료를 읽기/쓰기 준비하라는 의미 def print_a_line(line_count,f): print("%d %s" % (line_count, f.readline())) # read_line 은 파일을 한 행씩 읽으라는 의미 current_file = open(input_file) print ("First let's print the whole file:굈") print_all(current_file) # print_all 호출 print ("Now let's rewind, kind of like a tape.") rewind(current_file) # rewind 호출 print("Let's print three lines:") current_line = 1 print_a_line(current_line, current_file) current_line = current_line +1 print_a_line(current_line, current_file) current_line = current_line + 1 print_a_line(current_line, current_file)

[ "CAD Client" ]

CAD Client

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shiki7/Atcoder

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refs/heads/master

2022-05-21T16:59:01.529489

2022-04-29T11:26:42

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N = int(input()) def is_divisor_counter8(num): count = 0 for i in range(1, num+1): if num % i == 0: count += 1 return True if count == 8 else False count = 0 for i in range(1, N+1, 2): if is_divisor_counter8(i): count += 1 print(count)

[ "bitbite8@gmail.com" ]

bitbite8@gmail.com

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/tools/log2thbrep.py

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[]

no_license

chilamkatana/thbattle

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refs/heads/master

2021-01-18T00:07:46.283892

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# -*- coding: utf-8 -*- # -- prioritized -- import sys sys.path.append('../src') # -- stdlib -- from urlparse import urljoin import argparse import gzip import json # -- third party -- # -- own -- from client.core.replay import Replay from game import autoenv from settings import ACCOUNT_FORUMURL # -- code -- def gen_fake_account(name, is_freeplay): if is_freeplay: acc = ['freeplay', 1, name] else: acc = ['forum', 1, name, { 'title': u'转换的Replay只有名字啊……', 'avatar': urljoin(ACCOUNT_FORUMURL, '/maoyu.png'), 'credits': 1000, 'games': 0, 'drops': 0, 'badges': [], }] return {'account': acc, 'state': 'ingame'} def main(): autoenv.init('Client') parser = argparse.ArgumentParser('log2thbrep') parser.add_argument('replay_file', help='Server side replay') parser.add_argument('client_version', help='Desired client version (git commit)') parser.add_argument('--freeplay', action='store_true', help='Use freeplay account module?') options = parser.parse_args() if options.replay_file.endswith('.gz'): data = gzip.open(options.replay_file, 'r').read() else: data = open(options.replay_file, 'r').read() data = data.decode('utf-8').split('\n') names = data.pop(0)[2:].split(', ') # Names data.pop(0) # Ver gid = int(data.pop(0).split()[-1]) # GameId data.pop(0) # Time game_mode, game_params, rnd_seed, usergdhist, gdhist = data gdhist = json.loads(gdhist) game_params = json.loads(game_params) rep = Replay() rep.client_version = options.client_version rep.game_mode = game_mode rep.game_params = game_params rep.users = [gen_fake_account(i, options.freeplay) for i in names] assert len(names) == len(gdhist), [names, len(gdhist)] for i, gd in enumerate(gdhist): fn = '%s_%s.thbrep' % (gid, i) with open(fn, 'w') as f: print 'Writing %s...' % fn rep.me_index = i rep.gamedata = gd f.write(rep.dumps()) if __name__ == '__main__': main()

[ "feisuzhu@163.com" ]

feisuzhu@163.com

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/src/OTLMOW/OEFModel/Classes/Dummy.py

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# coding=utf-8 from OTLMOW.OEFModel.EMObject import EMObject from OTLMOW.OEFModel.EMAttribuut import EMAttribuut from OTLMOW.OTLModel.Datatypes.StringField import StringField # Generated with OEFClassCreator. To modify: extend, do not edit class Dummy(EMObject): """DUMMY Installatie""" typeURI = 'https://lgc.data.wegenenverkeer.be/ns/installatie#Dummy' label = 'Dummy' def __init__(self): super().__init__() self._notitieDummy = EMAttribuut(field=StringField, naam='notitie (DUMMY)', label='notitie (DUMMY)', objectUri='https://ond.data.wegenenverkeer.be/ns/attribuut#Dummy.notitieDummy', definitie='Definitie nog toe te voegen voor eigenschap notitie (DUMMY)', owner=self) @property def notitieDummy(self): """Definitie nog toe te voegen voor eigenschap notitie (DUMMY)""" return self._notitieDummy.waarde @notitieDummy.setter def notitieDummy(self, value): self._notitieDummy.set_waarde(value, owner=self)

[ "david.vlaminck@mow.vlaanderen.be" ]

david.vlaminck@mow.vlaanderen.be

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/PIDCalib/CalibDataScripts/jobs/Stripping5TeV/Lam0/ganga_Lam0Fit_MagUp.py

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[]

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pseyfert-cern-gitlab-backup/Urania

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refs/heads/master

2021-05-18T13:33:22.732970

2017-12-15T14:42:04

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# set the stripping version stripVersion = "5TeV" # magnet 'Up' or 'Down'? magPol='Up' # file suffix: # # dst_k_and_pi: Kaons and pions from D* # lam0_p: Protons from Lambda0 # jpsi_mu: Muons from J/psi # dst_k_and_pi_muonUnBiased: 'MuonUnBiased' kaons + pions from D* # lam0_p_muonUnBiased: 'MuonUnBiased' protons from Lambda0 fileSuffix='lam0_p' # set the pbs options (e.g. CPU/walltime) pbsopts = "-l cput=8:00:00,walltime=12:00:00" # track name (e.g. K, Pi) trackName="p" # particle type (e.g. DSt, Lam0, Jpsi) partType="Lam0" # the platform to run on # if this is not set, it will default to the value of CMTCONFIG platform='' # the job name (which will be appended with the stripping version, magnet polarity etc) jobname="Lam0Fit_P" # is this a test job? isTest=False ########################################################################################################## # The following lines should not need to be changed in most cases, as they are autoconfigured from the # above options ########################################################################################################## import os import re import sys # set the platform (if not already specified) if len(platform)==0: platform=os.getenv('CMTCONFIG') # get the Urania version from the script path abspath = os.path.abspath(os.path.dirname(sys.argv[0])) rematch = re.search('.Urania_(?P<ver>v\d+r\d+p?\d?).', abspath) UraniaVersion=rematch.group('ver') # uncomment to set the Urania version manually #UraniaVersion="v1r1" # get the User_release_area (i.e. top-level CMT directory, # which defaults to $HOME/cmtuser) User_release_area = os.getenv('User_release_area') if len(User_release_area)==0: User_release_area="%s/cmtuser" %os.getenv('HOME') # uncomment to set the User_release_area manually #User_release_area="/home/huntp/cmtuser" # base directory of $CALIBDATASCRIPTSROOT basedir = '%s/Urania_%s/PIDCalib/CalibDataScripts' %(User_release_area, UraniaVersion) # location of the executable exeFile = '%s/scripts/sh/%sJob_runRange.sh' %(basedir, partType) # read the configuration script import imp gangaJobFuncs=imp.load_source('gangaJobFuncs', '%s/scripts/python/gangaJobFuncs.py' %basedir) gangaJobFuncs.updateEnvFromShellScript( ('{bdir}/jobs/Stripping{strp}' '/configureGangaJobs.sh').format( bdir=basedir,strp=stripVersion)) jidVar = '' if magPol=='Down': jidVar='CALIBDATA_JIDS_DOWN' elif magPol=='Up': jidVar='CALIBDATA_JIDS_UP' else: raise NameError('Unknown magnet polarity %s' %magPol) jids_str=os.getenv(jidVar) if len(jids_str)==0: raise NameError('Environmental variable %s is not set' %jidVar) jobIDs=[int(jid) for jid in jids_str.split()] # uncomment to set the input job IDs manually #jobIDs=[7,9] # assume the user's ganga directory is the input directory gangadir='%s/workspace/%s/%s' %(config['Configuration']['gangadir'], config['Configuration']['user'], config['Configuration']['repositorytype']) # uncomment to use a different input directory #gangadir='$DATADISK/gangadir_calib/workspace/powell/LocalXML' #gangadir= '/data/lhcb/users/hunt/gangadir_calib/workspace/huntp/LocalXML' # use the PBS backend and set the CPU/walltime etc. bck = PBS() bck.extraopts = pbsopts if isTest: bck.queue = 'testing' # Uncomment to use the local backend #bck = Local() subIDString="*" ## configure the jobs if isTest: jobname='Test'+jobname for jid in jobIDs: # configure the job comment jobcomment='Input from Job ID %d' %jid if isTest: jobcomment='TEST - '+jobcomment # get the number of chopped tree nChoppedTrees = gangaJobFuncs.getNumChoppedTrees(gangadir, jid, fileSuffix) if isTest: # run over ~10% of all events, # and only process one "chopped tree" (index 0) nChoppedTrees = 1 nSubJobs =len(jobs(jid).subjobs) subIDString = "{"+",".join([str(s) for s in range(nSubJobs/10)])+"}" # Make the lists of arguments used by the ArgSplitter # # Arguments are: # # 1) top-level input directory (usually the ganga repository) # 2) Urania version # 3) platform (e.g. 'x86_64-slc6-gcc46-opt') # 4) track type # 5) magnet polarity # 6) stripping version # 7) index # 8) file suffix (e.g. 'dst_k_and_pi') # 9) verbose flag (0 = no verbose info, 1 = verbose info) # 10) exit on bad fit flag ( 0 = don't exit, 1 = do exit ( # 11) subjobID string ('*' for all subjobs, '{0,1,2}' for first 3 # subjobs etc.) argLists = [ [ gangadir, UraniaVersion, platform, trackName, magPol, stripVersion, str(idx), fileSuffix, str(int(isTest)), '1', subIDString ] for idx in range(nChoppedTrees) ] splitter = ArgSplitter(args=argLists) # configure the application app= Executable( exe = File(exeFile), ) j = Job( name = '{jname}_S{strp}_Mag{pol}_{suf}'.format(jname=jobname, strp=stripVersion, pol=magPol, suf=fileSuffix), comment = jobcomment, outputfiles = ['*.root', '*.eps'] , application=app, backend=bck, splitter=splitter ) j.submit()

[ "liblhcb@cern.ch" ]

liblhcb@cern.ch

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refs/heads/master

2022-12-06T01:04:04.103593

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import os.path class CasesFixture(object): def __init__(self, copy_to_dir: str, original_resources_dir: str): """ Upon initialization copies the `original_resources_dir` to `copy_to_dir`. So, for instance, we may copy the contents from /my/test/resource to /temp/pytest-101/folder with spaces/resource Subsequent requests to get the path will access it in the place we copied it to. Note: it should usually be bound to a session scope so that the copy isn't done at each call. """ from robocode_ls_core.copytree import copytree_dst_exists copytree_dst_exists(original_resources_dir, copy_to_dir) self.resources_dir = copy_to_dir assert os.path.exists(self.resources_dir) def get_path(self, resources_relative_path: str, must_exist=True) -> str: """ Returns a path from the resources dir. """ path = os.path.join(self.resources_dir, resources_relative_path) if must_exist: assert os.path.exists(path), "%s does not exist." % (path,) return path def copy_to(self, case: str, dest_dir: str): """ Helper to copy a given path to a given directory. To be used if a given path should be within another structure or if its contents should be mutated. """ import shutil src = self.get_path(case, must_exist=True) shutil.copytree(src, dest_dir)

[ "fabiofz@gmail.com" ]

fabiofz@gmail.com

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/common/recipes-rest/rest-api/files/common_logging.py

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[]

no_license

facebook/openbmc

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#!/usr/bin/env python3 # # Copyright 2014-present Facebook. All Rights Reserved. # # This program file is free software; you can redistribute it and/or modify it # under the terms of the GNU General Public License as published by the # Free Software Foundation; version 2 of the License. # # This program is distributed in the hope that it will be useful, but WITHOUT # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or # FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License # for more details. # # You should have received a copy of the GNU General Public License # along with this program in a file named COPYING; if not, write to the # Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, # Boston, MA 02110-1301 USA # import datetime import logging import os import sys from typing import Any, Dict import json_log_formatter class OpenBMCJSONFormatter(json_log_formatter.JSONFormatter): def json_record( self, message: str, extra: Dict[str, Any], record: logging.LogRecord ) -> Dict[str, Any]: # for access logs discard the message field # all information is already included in extra if record.name != "aiohttp.access": extra["message"] = message else: # reformat access log request time to isoformat extra["request_time"] = datetime.datetime.strptime( extra["request_time"][1:-1], "%d/%b/%Y:%H:%M:%S %z" ).isoformat() # Include loglevel extra["level"] = record.levelname if "time" not in extra: extra["time"] = datetime.datetime.utcnow() if record.exc_info: extra["exc_info"] = self.formatException(record.exc_info) return extra def mutate_json_record(self, json_record: Dict[str, Any]): for attr_name, attr in json_record.items(): if isinstance(attr, datetime.datetime): json_record[attr_name] = attr.isoformat() return json_record class JsonSyslogFormatter(OpenBMCJSONFormatter): def format(self, record) -> str: return "rest-api: %s" % (super(JsonSyslogFormatter, self).format(record)) ACCESS_LOG_FORMAT = ( '%a %l %u %t "%r" %s %b %Dus "%{identity}o" "%{Referrer}i" "%{User-Agent}i"' ) def get_logger_config(config): if os.path.exists("/dev/log"): rsyslog_config = { "level": "INFO", "formatter": "syslog_" + config["logformat"], "class": "logging.handlers.SysLogHandler", "address": "/dev/log", } else: rsyslog_config = { "level": "INFO", "formatter": config["logformat"], "class": "logging.StreamHandler", "stream": sys.stdout, } LOGGER_CONF = { "version": 1, "disable_existing_loggers": False, "formatters": { "default": {"format": "%(message)s"}, "json": {"()": "common_logging.OpenBMCJSONFormatter"}, "syslog_json": {"()": "common_logging.JsonSyslogFormatter"}, "syslog_default": {"format": "rest-api: %(message)s"}, }, "handlers": { "file": { "level": "INFO", "formatter": config["logformat"], "class": "logging.handlers.RotatingFileHandler", "filename": config["logfile"], "maxBytes": 1048576, "backupCount": 3, "encoding": "utf8", }, "syslog": rsyslog_config, "stdout": { "level": "INFO", "formatter": config["logformat"], "class": "logging.StreamHandler", "stream": sys.stdout, }, }, "loggers": { "": { "handlers": [config["loghandler"]], "level": "DEBUG", "propagate": True, } }, } return LOGGER_CONF

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yesrgang/labrad_tools

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import json from labrad.wrappers import connectAsync from time import strftime from twisted.internet.defer import inlineCallbacks from conductor_device.conductor_parameter import ConductorParameter class Recorder(ConductorParameter): priority = 1 recorders = { 'image': 'record_g', 'image_clock': 'record_eg', 'image_ft': 'record_eg', } @inlineCallbacks def initialize(self): yield self.connect() yield self.cxn.yesr10_andor.select_device('ikon') @inlineCallbacks def update(self): recorder_type = '' sequence = self.conductor.parameters['sequencer']['sequence'].value for subsequence, recorder in self.recorders.items(): if subsequence in sequence: recorder_type = recorder experiment_name = self.conductor.experiment_name experiment_number = self.conductor.experiment_number point_number = self.conductor.point_number if experiment_name is not None: record_name = '{}#{}-image#{}.hdf5'.format(experiment_name, experiment_number, point_number) else: record_name = 'current-image.hdf5' record_path = [strftime('%Y%m%d'), record_name] if self.value is None: self.value = {} if recorder_type: # recorder_type = self.value.get('type', recorder_type) recorder_config = json.dumps(self.value.get('config', {})) yield self.cxn.yesr10_andor.record(record_path, recorder_type, recorder_config) yield self.conductor.set_parameter_value('andor', 'image_path', record_path, True)

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saulshanabrook/cosc465-iprouter

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python_interpreter = "python" # the interpreter to use project = "anaconda" # the name of the project extra_paths = None # a list of extra paths port = '19360' # the port to listen on (as string)

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s.shanabrook@gmail.com

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/store/admin.py

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AsadullahFarooqi/InventoryWebApp

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from django.contrib import admin from .models import ( Store, StoreEmployers, Customer, Supplier, Products, # ContainersTypes, Imported, Exported, PaymentsToSuppliers, PaymentsOfCustomers, EmployersLedger, ) # Register your models here. admin.site.register(Store) admin.site.register(StoreEmployers) admin.site.register(Customer) admin.site.register(Supplier) admin.site.register(Products) admin.site.register(Imported) admin.site.register(Exported) admin.site.register(EmployersLedger) # admin.site.register(ContainersTypes) admin.site.register(PaymentsToSuppliers) admin.site.register(PaymentsOfCustomers)

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asadullah.itcgcs@gmail.com

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/src/main/hspylib/modules/mock/mock_request.py

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ TODO Purpose of the file @project: HSPyLib hspylib.main.hspylib.modules.mock @file: mock_request.py @created: Tue, 4 May 2021 @author: Hugo Saporetti Junior" @site: https://github.com/yorevs/hspylib @license: MIT - Please refer to <https://opensource.org/licenses/MIT> Copyright 2021, HSPyLib team """ from typing import Any from requests.structures import CaseInsensitiveDict from hspylib.core.enums.charset import Charset from hspylib.core.enums.content_type import ContentType from hspylib.core.enums.http_code import HttpCode from hspylib.core.enums.http_method import HttpMethod from hspylib.modules.fetch.http_response import HttpResponse class MockResponse(HttpResponse): """TODO""" def __init__(self, parent, method: HttpMethod, url: str, status_code: HttpCode = None, body: str = None, headers=None, encoding: Charset = Charset.UTF_8, content_type=ContentType.APPLICATION_JSON): super().__init__(method, url, status_code, body, headers, encoding, content_type) self.parent = parent self.received_body = False def then_return( self, code: HttpCode, body: str = None, headers=None, encoding: Charset = Charset.UTF_8, content_type=ContentType.APPLICATION_JSON) -> Any: """TODO""" response = self.parent.mock(self.method, self.url) response.status_code = code response.body = body response.headers = headers if headers else [] response.encoding = encoding response.content_type = content_type if response.content_type: response.content_type.charset = encoding return self.parent def then_return_with_received_body( self, code: HttpCode, headers: CaseInsensitiveDict = None, encoding: Charset = Charset.UTF_8, content_type=ContentType.APPLICATION_JSON) -> Any: """TODO""" response = self.parent.mock(self.method, self.url) response.received_body = True response.body = None response.status_code = code response.headers = headers if headers else [] response.encoding = encoding response.content_type = content_type if response.content_type: response.content_type.charset = encoding return self.parent

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/Alignment/OfflineValidation/test/PrimaryVertexResolution_templ_cfg.py

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#! /bin/env cmsRun ''' cfg to produce pv resolution plots here doing refit of tracks and vertices using latest alignment ''' from __future__ import print_function import FWCore.ParameterSet.Config as cms from fnmatch import fnmatch import FWCore.ParameterSet.VarParsing as VarParsing from pdb import set_trace process = cms.Process("PrimaryVertexResolution") ################################################################### def best_match(rcd): ################################################################### ''' find out where to best match the input conditions ''' print(rcd) for pattern, string in connection_map: print(pattern, fnmatch(rcd, pattern)) if fnmatch(rcd, pattern): return string options = VarParsing.VarParsing("analysis") options.register('lumi', 1., VarParsing.VarParsing.multiplicity.singleton, # singleton or list VarParsing.VarParsing.varType.float, # string, int, or float "luminosity used") options.register ('outputRootFile', "pvresolution_YYY_KEY_YYY_XXX_RUN_XXX.root", VarParsing.VarParsing.multiplicity.singleton, # singleton or list VarParsing.VarParsing.varType.string, # string, int, or float "output root file") options.register ('records', [], VarParsing.VarParsing.multiplicity.list, # singleton or list VarParsing.VarParsing.varType.string, # string, int, or float "record:tag names to be used/changed from GT") options.register ('external', [], VarParsing.VarParsing.multiplicity.list, # singleton or list VarParsing.VarParsing.varType.string, # string, int, or float "record:fle.db picks the following record from this external file") options.register ('GlobalTag', '110X_dataRun3_Prompt_v3', VarParsing.VarParsing.multiplicity.singleton, # singleton or list VarParsing.VarParsing.varType.string, # string, int, or float "Global Tag to be used") options.parseArguments() print("conditionGT : ", options.GlobalTag) print("conditionOverwrite: ", options.records) print("external conditions:", options.external) print("outputFile : ", options.outputRootFile) process.load("FWCore.MessageService.MessageLogger_cfi") process.MessageLogger.cerr = cms.untracked.PSet(placeholder = cms.untracked.bool(True)) process.MessageLogger.cout = cms.untracked.PSet(INFO = cms.untracked.PSet( reportEvery = cms.untracked.int32(1000) # every 100th only # limit = cms.untracked.int32(10) # or limit to 10 printouts... )) process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(150000) ) process.load("Configuration.StandardSequences.FrontierConditions_GlobalTag_cff") process.load("Configuration.StandardSequences.MagneticField_AutoFromDBCurrent_cff") process.load('Configuration.Geometry.GeometryRecoDB_cff') process.load('Configuration/StandardSequences/Services_cff') process.load('TrackingTools.TransientTrack.TransientTrackBuilder_cfi') process.source = cms.Source("PoolSource", fileNames = cms.untracked.vstring(XXX_FILES_XXX) ) ################################################################### # Tell the program where to find the conditons connection_map = [ ('Tracker*', 'frontier://PromptProd/CMS_CONDITIONS'), ('SiPixel*', 'frontier://PromptProd/CMS_CONDITIONS'), ('SiStrip*', 'frontier://PromptProd/CMS_CONDITIONS'), ('Beam*', 'frontier://PromptProd/CMS_CONDITIONS'), ] if options.external: connection_map.extend( (i.split(':')[0], 'sqlite_file:%s' % i.split(':')[1]) for i in options.external ) connection_map.sort(key=lambda x: -1*len(x[0])) ################################################################### # creat the map for the GT toGet records = [] if options.records: for record in options.records: rcd, tag = tuple(record.split(':')) records.append( cms.PSet( record = cms.string(rcd), tag = cms.string(tag), connect = cms.string(best_match(rcd)) ) ) process.load("RecoVertex.BeamSpotProducer.BeamSpot_cfi") process.GlobalTag.globaltag = options.GlobalTag #process.GlobalTag.DumpStat = cms.untracked.bool(True) process.GlobalTag.toGet = cms.VPSet(*records) process.load("RecoTracker.TrackProducer.TrackRefitters_cff") # remove the following lines if you run on RECO files process.TrackRefitter.src = 'ALCARECOTkAlMinBias' process.TrackRefitter.NavigationSchool = '' ## PV refit process.load("TrackingTools.TransientTrack.TransientTrackBuilder_cfi") from RecoVertex.PrimaryVertexProducer.OfflinePrimaryVertices_cfi import offlinePrimaryVertices process.offlinePrimaryVerticesFromRefittedTrks = offlinePrimaryVertices.clone() process.offlinePrimaryVerticesFromRefittedTrks.TrackLabel = cms.InputTag("TrackRefitter") process.offlinePrimaryVerticesFromRefittedTrks.vertexCollections.maxDistanceToBeam = 1 process.offlinePrimaryVerticesFromRefittedTrks.TkFilterParameters.maxNormalizedChi2 = 20 process.offlinePrimaryVerticesFromRefittedTrks.TkFilterParameters.minSiliconLayersWithHits = 5 process.offlinePrimaryVerticesFromRefittedTrks.TkFilterParameters.maxD0Significance = 5.0 # as it was prior to https://github.com/cms-sw/cmssw/commit/c8462ae4313b6be3bbce36e45373aa6e87253c59 process.offlinePrimaryVerticesFromRefittedTrks.TkFilterParameters.maxD0Error = 1.0 process.offlinePrimaryVerticesFromRefittedTrks.TkFilterParameters.maxDzError = 1.0 process.offlinePrimaryVerticesFromRefittedTrks.TkFilterParameters.minPixelLayersWithHits = 2 process.PrimaryVertexResolution = cms.EDAnalyzer('SplitVertexResolution', storeNtuple = cms.bool(False), intLumi = cms.untracked.double(options.lumi), vtxCollection = cms.InputTag("offlinePrimaryVerticesFromRefittedTrks"), trackCollection = cms.InputTag("TrackRefitter"), minVertexNdf = cms.untracked.double(10.), minVertexMeanWeight = cms.untracked.double(0.5), runControl = cms.untracked.bool(True), runControlNumber = cms.untracked.vuint32(int(XXX_RUN_XXX)) ) process.TFileService = cms.Service("TFileService", fileName = cms.string(options.outputRootFile), closeFileFast = cms.untracked.bool(False) ) process.p = cms.Path(process.offlineBeamSpot + process.TrackRefitter + process.offlinePrimaryVerticesFromRefittedTrks + process.PrimaryVertexResolution)

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/gbd_2017/shared_code/central_comp/nonfatal/dismod/cascade/varnish.py

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Nermin-Ghith/ihme-modeling

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import sys import os import subprocess import logging import upload import fit_stats import drill from db_tools.ezfuncs import query from cascade_ode.demographics import Demographics from cascade_ode import importer from cascade_ode import __version__ from setup_logger import setup_logger from jobmon import sge from save_results._save_results import DismodSaveResults # Set default file mask to readable-for all users os.umask(0o0002) AGE_GROUP_SET_ID = 12 def main(): '''Set commit hash, upload model, try to write effects_plots pdfs, aggregate model version draws up location hierarchy ''' setup_logger() mvid = sys.argv[1] log = logging.getLogger(__name__) log.info("Varnish started for mvid {}".format(mvid)) try: try: commit_hash = sge.get_commit_hash(dir='%s/..' % drill.this_path) except subprocess.CalledProcessError: # in site-packages, not git repo commit_hash = __version__ upload.set_commit_hash(mvid, commit_hash) upload.upload_model(mvid) outdir = "%s/%s/full" % ( drill.settings['cascade_ode_out_dir'], str(mvid)) joutdir = "%s/%s" % (drill.settings['diag_out_dir'], mvid) fit_stats.write_fit_stats(mvid, outdir, joutdir) upload.upload_fit_stat(mvid) # Write effect PDFs plotter = "{}/effect_plots.r".format(drill.this_path) plotter = os.path.realpath(plotter) demo = Demographics() try: subprocess.check_output([ "FILEPATH", plotter, str(mvid), joutdir, drill.settings['cascade_ode_out_dir'], str(max(demo.year_ids))], stderr=subprocess.STDOUT) except subprocess.CalledProcessError: log.exception("Error in effect plots") # Launch final aggregations log.info("Starting Save Results") aggregate_model(mvid, demo=demo) except Exception: log.exception("Error in varnish") raise def aggregate_model(mvid, demo): '''call save_results to create location aggregates, upload summaries to epi.model_estimate_final, mark model as finished''' agg_args = get_aggregation_arguments(mvid, demo) dsr = DismodSaveResults( input_dir=agg_args['input_dir'], input_file_pattern=agg_args['input_file_pattern'], model_version_id=mvid, modelable_entity_id=agg_args['modelable_entity_id'], description=agg_args['description'], year_id=agg_args['year_id'], sex_id=agg_args['sex_id'], measure_id=agg_args['measure_id'], db_env=agg_args['db_env'], gbd_round_id=agg_args['gbd_round_id'], birth_prevalence=agg_args['birth_prevalence']) dsr.run() return dsr def get_aggregation_arguments(mvid, demo): casc = drill.Cascade( mvid, root_dir=drill.settings['cascade_ode_out_dir'], reimport=False) mvm = casc.model_version_meta db_env = drill.settings['env_variables']['ENVIRONMENT_NAME'] agg_args = {} agg_args['input_dir'] = os.path.join(casc.root_dir, 'draws') agg_args['input_file_pattern'] = '{location_id}_{year_id}_{sex_id}.h5' agg_args['modelable_entity_id'] = mvm.modelable_entity_id.item() agg_args['description'] = mvm.description.item() agg_args['year_id'] = demo.year_ids agg_args['sex_id'] = demo.sex_ids agg_args['measure_id'] = get_measures_from_casc(casc) agg_args['db_env'] = db_env agg_args['gbd_round_id'] = demo.gbd_round_id agg_args['birth_prevalence'] = mvm.birth_prev.fillna(0).replace( {0: False, 1: True}).item() return agg_args def get_measures_from_casc(casc): measure_only = casc.model_version_meta.measure_only if measure_only.notnull().all(): return measure_only.item() q = "select measure_id from shared.measure where measure in ('{}')".format( "', '".join(importer.integrand_pred)) df = query(q, conn_def="epi") return sorted(df.measure_id.tolist()) if __name__ == '__main__': main()

[ "nsidles@uw.edu" ]

nsidles@uw.edu

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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from enum import Enum from azure.core import CaseInsensitiveEnumMeta class AccessRuleDirection(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Direction that specifies whether the access rules is inbound/outbound.""" INBOUND = "Inbound" OUTBOUND = "Outbound" class AddressPrefixType(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Address prefix type.""" IP_PREFIX = "IPPrefix" SERVICE_TAG = "ServiceTag" class AdminRuleKind(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Whether the rule is custom or default.""" CUSTOM = "Custom" DEFAULT = "Default" class AssociationAccessMode(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Access mode on the association.""" LEARNING = "Learning" ENFORCED = "Enforced" AUDIT = "Audit" class ConfigurationType(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Configuration Deployment Type.""" SECURITY_ADMIN = "SecurityAdmin" SECURITY_USER = "SecurityUser" CONNECTIVITY = "Connectivity" class ConnectivityTopology(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Connectivity topology type.""" HUB_AND_SPOKE = "HubAndSpoke" MESH = "Mesh" class CreatedByType(str, Enum, metaclass=CaseInsensitiveEnumMeta): """The type of identity that created the resource.""" USER = "User" APPLICATION = "Application" MANAGED_IDENTITY = "ManagedIdentity" KEY = "Key" class DeleteExistingNSGs(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Flag if need to delete existing network security groups.""" FALSE = "False" TRUE = "True" class DeleteExistingPeering(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Flag if need to remove current existing peerings.""" FALSE = "False" TRUE = "True" class DeploymentStatus(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Deployment Status.""" NOT_STARTED = "NotStarted" DEPLOYING = "Deploying" DEPLOYED = "Deployed" FAILED = "Failed" class EffectiveAdminRuleKind(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Whether the rule is custom or default.""" CUSTOM = "Custom" DEFAULT = "Default" class EffectiveUserRuleKind(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Whether the rule is custom or default.""" CUSTOM = "Custom" DEFAULT = "Default" class GroupConnectivity(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Group connectivity type.""" NONE = "None" DIRECTLY_CONNECTED = "DirectlyConnected" class IsGlobal(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Flag if global mesh is supported.""" FALSE = "False" TRUE = "True" class MembershipType(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Membership Type.""" STATIC = "Static" DYNAMIC = "Dynamic" class NspLinkStatus(str, Enum, metaclass=CaseInsensitiveEnumMeta): """The NSP link state.""" APPROVED = "Approved" PENDING = "Pending" REJECTED = "Rejected" DISCONNECTED = "Disconnected" class NspProvisioningState(str, Enum, metaclass=CaseInsensitiveEnumMeta): """The current provisioning state.""" SUCCEEDED = "Succeeded" CREATING = "Creating" UPDATING = "Updating" DELETING = "Deleting" ACCEPTED = "Accepted" FAILED = "Failed" class ProvisioningState(str, Enum, metaclass=CaseInsensitiveEnumMeta): """The current provisioning state.""" SUCCEEDED = "Succeeded" UPDATING = "Updating" DELETING = "Deleting" FAILED = "Failed" class SecurityConfigurationRuleAccess(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Whether network traffic is allowed or denied.""" ALLOW = "Allow" DENY = "Deny" ALWAYS_ALLOW = "AlwaysAllow" class SecurityConfigurationRuleDirection(str, Enum, metaclass=CaseInsensitiveEnumMeta): """The direction of the rule. The direction specifies if the rule will be evaluated on incoming or outgoing traffic. """ INBOUND = "Inbound" OUTBOUND = "Outbound" class SecurityConfigurationRuleProtocol(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Network protocol this rule applies to.""" TCP = "Tcp" UDP = "Udp" ICMP = "Icmp" ESP = "Esp" ANY = "Any" AH = "Ah" class SecurityType(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Security Type.""" ADMIN_POLICY = "AdminPolicy" USER_POLICY = "UserPolicy" class UseHubGateway(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Flag if need to use hub gateway.""" FALSE = "False" TRUE = "True" class UserRuleKind(str, Enum, metaclass=CaseInsensitiveEnumMeta): """Whether the rule is custom or default.""" CUSTOM = "Custom" DEFAULT = "Default"

[ "noreply@github.com" ]

kurtzeborn.noreply@github.com

a0a6f63d91b35f4e1b0adeff1d440b64e0536984

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/solutions/319.bulb-switcher.py

49544fa00a51fc10ac7fe2b65b52d85034bc6e67

[]

no_license

quixoteji/Leetcode

1dc2e52e53a7b58d9bae15ce2d5c4142cbd365af

00bf9a8164008aa17507b1c87ce72a3374bcb7b9

refs/heads/master

2021-07-15T07:59:21.294297

2020-05-13T03:08:47

138,812,553

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py

# # @lc app=leetcode id=319 lang=python3 # # [319] Bulb Switcher # # @lc code=start class Solution: def bulbSwitch(self, n: int) -> int: return self.sol1(n) def sol1(self, n) : # 0 : off 1 : on ons = 1 while ons * ons <= n : ons += 1 return ons-1 # @lc code=end

[ "jxj405@case.edu" ]

jxj405@case.edu

9165e19f93dedecb81d6600c76cdff8a1644df31

262311e60529868e38c2c57ee3db573f8e11c458

/qa-automated/pages/app/guide_page.py

4c174083b2c451704f06adb30ab6f1ce1a034b09

[]

no_license

huileizhan227/untitled

1c5604736d9ffcce6f7cb7e308cdc0ebd07e116a

07df74c89291b1664a28e3c8dcba51a917f1835f

refs/heads/master

2023-01-27T11:51:37.609210

2020-04-16T11:49:59

150,606,504

1

0

null

2023-01-09T12:00:12

2018-09-27T15:12:18

HTML

UTF-8

Python

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380

py

from poium import Page from poium import PageElement from poium import PageElements class GuidPage(Page): skip_btn = PageElement(id_='com.transsnet.news.more:id/skip') topic_btn_list = PageElements(xpath='//*[@id="com.transsnet.news.more:id/recycler"]//*[@id="com.transsnet.news.more:id/name"]') confirm_btn = PageElement(id_='com.transsnet.news.more:id/select_btn')

[ "374826581@qq.com" ]

374826581@qq.com

a17a0329e2df352957ffa0acef086b440581e622

c0717724c7dc3937252bb4a7bd7c796088db4c5d

/solutions/judgingmoose.py

58fb1ab1e281b3934eb20ba684504c74ec01dce3

[]

no_license

matthew-cheney/kattis-solutions

58cd03394ad95e9ca7ffa3de66b69d90647b31ff

d9397ca4715a3ad576046a62bdd6c0fb9542d838

refs/heads/main

2023-01-24T12:49:18.871137

2020-12-10T04:10:48

318,857,227

0

null

UTF-8

Python

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176

py

l, r = [int(x) for x in input().split(' ')] if l == 0 and r == 0: print('Not a moose') elif l != r: print(f'Odd {2 * max(l, r)}') else: print(f'Even {2 * l}')

[ "m.cheney95@outlook.com" ]

m.cheney95@outlook.com

bfd7447e28cd315f542b2e4c3883455d18c758b4

55dc6e337e634acb852c570274a1d0358b7300a5

/tests/extension/resolver_/single_module/test_resolver_single_module.py

91d5af2b94b4d6d03772bf6913b03b34a1fe7c9a

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

permissive

fifoteam/veriloggen

97ad45671f053c85f495b08a030f735fd9822146

23cb7251c0f126d40d249982cad33ef37902afef

refs/heads/master

2020-05-27T00:28:37.575411

2017-02-20T01:47:00

82,518,602

2

0

null

2017-02-20T05:02:37

null

UTF-8

Python

false

1,162

py

from __future__ import absolute_import from __future__ import print_function import veriloggen import resolver_single_module expected_verilog = """ module blinkled # ( parameter WIDTH = 8, parameter INC = 1 ) ( input CLK, input RST, output reg [8-1:0] LED ); reg [18-1:0] count; always @(posedge CLK) begin if(RST) begin count <= 0; end else begin if(count == 1023) begin count <= 0; end else begin count <= count + 1; end end end always @(posedge CLK) begin if(RST) begin LED <= 0; end else begin if(count == 1023) begin LED <= LED + 1; end end end endmodule """ def test(): veriloggen.reset() test_module = resolver_single_module.mkLed() code = test_module.to_verilog() from pyverilog.vparser.parser import VerilogParser from pyverilog.ast_code_generator.codegen import ASTCodeGenerator parser = VerilogParser() expected_ast = parser.parse(expected_verilog) codegen = ASTCodeGenerator() expected_code = codegen.visit(expected_ast) assert(expected_code == code)

[ "shta.ky1018@gmail.com" ]

shta.ky1018@gmail.com

b78531b1f1e38104f41d807a2b3eaea73882c0fe

6f05f7d5a67b6bb87956a22b988067ec772ba966

/data/train/python/e658c13140c18d36a72cabf611a7dcaca154d8deurls.py

e658c13140c18d36a72cabf611a7dcaca154d8de

[ "MIT" ]

permissive

harshp8l/deep-learning-lang-detection

93b6d24a38081597c610ecf9b1f3b92c7d669be5

2a54293181c1c2b1a2b840ddee4d4d80177efb33

refs/heads/master

2020-04-07T18:07:00.697994

2018-11-29T23:21:23

158,597,498

0

MIT

2018-11-21T19:36:42

2018-11-21T19:36:41

null

UTF-8

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false

2,069

py

from django.conf.urls import patterns, include, url # Uncomment the next two lines to enable the admin: # from django.contrib import admin # admin.autodiscover() urlpatterns = patterns('', # Examples: # url(r'^$', 'acidentes_em_rodovias.controller.home', name='home'), # url(r'^acidentes_em_rodovias/', include('acidentes_em_rodovias.foo.urls')), # Uncomment the admin/doc line below to enable admin documentation: # url(r'^admin/doc/', include('django.contrib.admindocs.urls')), # Uncomment the next line to enable the admin: # url(r'^admin/', include(admin.site.urls)), url(r'^acidentes_rodovias/$', 'app.controller.index_controller.index'), url(r'^acidentes_rodovias/regiao$', 'app.controller.consultabasica_regiao_controller.consulta_por_regiao'), url(r'^acidentes_rodovias/periodo$', 'app.controller.consultabasica_periodo_controller.consulta_por_periodo'), url(r'^acidentes_rodovias/municipios-regiao$', 'app.controller.consultabasica_regiao_controller.consulta_municipios_na_regiao'), url(r'^acidentes_rodovias/consulta/municipio$', 'app.controller.consultabasica_regiao_controller.consulta_ocorrencias_por_municipio'), url(r'^acidentes_rodovias/consulta/periodo$', 'app.controller.consultabasica_periodo_controller.consulta_ocorrencias_por_periodo'), url(r'^acidentes_rodovias/estatisticas/tipos-acidentes$', 'app.controller.estatisticas_tipos_controller.tipos_acidentes'), url(r'^acidentes_rodovias/estatisticas/causas-acidentes$', 'app.controller.estatisticas_causas_controller.causas_acidentes'), url(r'^acidentes_rodovias/estatisticas/ocorrencias-envolvidos$', 'app.controller.estatisticas_envolvidos_controller.ocorrencias_e_envolvidos'), url(r'^acidentes_rodovias/estatisticas/acidentes-sexo$', 'app.controller.estatisticas_envolvidos_controller.acidentes_sexo'), url(r'^acidentes_rodovias/estatisticas/br$', 'app.controller.estatisticas_br_controller.acidentes_br'), url(r'^acidentes_rodovias/estatisticas/uf$', 'app.controller.estatisticas_uf_controller.acidentes_uf'), )

[ "aliostad+github@gmail.com" ]

aliostad+github@gmail.com

c142dee0cde1b43a81c0d5697afeee12e008eb37

243d0543f8d38f91954616c014456122292a1a3c

/CS1/0320_herbivwar/draft04/critterAI1.py

90f7ec363bc8911db4de6b7fb77c35166c061e2a

[ "MIT" ]

permissive

roni-kemp/python_programming_curricula

758be921953d82d97c816d4768fbcf400649e969

eda4432dab97178b4a5712b160f5b1da74c068cb

refs/heads/master

2023-03-23T13:46:42.186939

2020-07-15T17:03:34

null

0

null

UTF-8

Python

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2,944

py

import random, critter class CritterAI1(critter.Critter): def __init__(self, screen, row, col, image, team, name): super().__init__(screen, row, col, image, team, name) def reproduce(self, critter_cells): '''You have to have this in each critter child class so that CritterAIs can reproduce with the same AI and not with a generic critter that happens to share the same image!''' new_child = CritterAI1(self.screen, self.row, self.col, self.original_image, self.team, self.name) self.customReproduce(critter_cells, new_child) def takeAction(self, board, critter_cells): '''TODO: Students write code here. Each creature only takes one action per turn. The action is the value returned, one of: 'reproduce', 'eat', 'attack', 'left', 'right', 'move', 'rest' Fatigue is the amount of energy consumed by each action. #how much fatigue do I have? print(self.fatigue) print("losing "+str(self.fatigue)+" energy this turn") #If fatigue is too high, reset fatigue to zero if self.fatigue > 4: return 'rest' The eat action consumes all the energy at the current location. #If there is lots of energy here, then eat. if self.energyHere(board) > 10: return 'eat' #Eat if I am low on energy if self.energy < 3: return 'eat' #Don't walk out of bounds if self.aheadInBounds(critter_cells): return 'move' else: return 'right' #Check to make sure ahead is inbounds and #not blocked by another creature before #reproducing. if self.aheadInBounds(critter_cells) and self.getCritterAhead(critter_cells)==None: return 'reproduce' #If there is an enemy ahead, attack them. other_critter = self.getCritterAhead(critter_cells) if other_critter != None and other_critter.team != self.team: return 'attack' #Choose one of three random actions r = random.randint(0,2) if r==0: return 'left' elif r==1: return 'right' else: return 'rest' ''' #reproduce if self.energy > 4: if self.aheadInBounds(critter_cells) and self.getCritterAhead(critter_cells)==None: return 'reproduce' #rest if self.fatigue > 1: return 'rest' #eat if self.energyHere(board) > 4: return 'eat' #fight other = self.getCritterAhead(critter_cells) if other!=None and other.team!=self.team: return 'attack' #Otherwise random r = random.randint(0,2) if r==0: return 'left' elif r==1: return 'right' else: return 'rest'

[ "neal.holts@gmail.com" ]

neal.holts@gmail.com

4685ca9231aef2f67fedb4b4c61bf9b489279acf

9cd27764abf5412dffd351a0a4956075191dd67e

/day 2/rename_file.py

932ad167449c991f82661fd48217b3e1ca8221aa

[]

no_license

EHwooKim/Start_camp

1cebb6775f68af1ca6ecaf37bc8ad4d0864e77de

d582e20ce1a3ccb9cd31422b3d5be3b64c2627d5

refs/heads/master

2020-06-17T15:26:14.898280

2019-08-05T00:12:59

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UTF-8

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374

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import os # 1. dummy 폴더로 들어간다. os.chdir('./dummy') print(os.getcwd()) # 2. 하나씩 파일명을 변경한다. => 반복문 files = os.listdir('.') print(type(files)) #for file in files: # os.rename(file, f'SAMSUNG_{file}') # 3. SAMSUNG이 아니라 SSAFY를 붙였어야지! for file in files: os.rename(file, file.replace('SAMSUNG_SAMSUNG','SSAFY'))

[ "ehwoo0707@naver.com" ]

ehwoo0707@naver.com

057ae25723d470ecd9c4657c06e722e7cb93acd7

de24f83a5e3768a2638ebcf13cbe717e75740168

/moodledata/vpl_data/50/usersdata/111/17678/submittedfiles/contido.py

67535e3f4f65734c36914824446b50ff8537f736

[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

2017-12-22T16:05:45

69,566,344

0

null

UTF-8

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471

py

# -*- coding: utf-8 -*- from __future__ import division def incluso(a,b): cont=0 for i in range(0,len(a),1): if a[i] in b: cont = cont +1 if cont!=0: return True else: return False n=input('Tamanho da lista : ') a=[] for i in range(0,n,1): a.append(input('Elementos da lista1: ')) n2=input('Tamanho da lista : ') b=[] for i in range(0,n2,1): b.append(input('Elementos da lista2: ') if incluso(a,b)

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

rafael.mota@ufca.edu.br

4c371b4f7afd64a5b4c2bd58df54c3b208d71660

55a4cd36bbea38fda0792020225d849dbc23f4a8

/initUserState.py

866f870de02309f8d88e1dc455f61454eb88a387

[]

no_license

liyonghelpme/findAMatch

4e4e4960715292e14aa59bbec5407d38562fb4c5

3e8d96106247b72c4b89412ab290d4f6462bdcea

refs/heads/master

2021-01-19T08:10:31.909865

2013-05-04T11:06:16

null

0

null

UTF-8

Python

false

466

py

#coding:utf8 import MySQLdb import random myCon = MySQLdb.connect(host='localhost', passwd='badperson3', db='UserMatch', user='root', charset='utf8') for i in xrange(0, 100): sql = 'insert into UserState (uid, shieldTime, attackTime, onlineTime, score) values(%d, %d, %d, %d, %d)' % (i, 0, 0, 0, random.randint(0, 1000)) myCon.query(sql) #测试保护状态的用户数据 #攻击状态用户数据 #在线状态用户数据 myCon.commit() myCon.close()

[ "liyonghelpme@gmail.com" ]

liyonghelpme@gmail.com

bd679510fd69971fb1346300fec7f9ac0725b03b

de24f83a5e3768a2638ebcf13cbe717e75740168

/moodledata/vpl_data/453/usersdata/281/109875/submittedfiles/programa.py

22338be239a906640e2e45b03fa532fc2036ad96

[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

2017-12-22T16:05:45

69,566,344

0

null

UTF-8

Python

false

732

py

# -*- coding: utf-8 -*- n=int(input('Digite a dimensão do tabuleiro: ')) m=[] for i in range (0,n,1): m_linha=[] for j in range(0,n,1): m_linha.append(int(input('Digite o números (%d,%d) de entrada: '% (i+1,j+1)))) m.append(m_linha) soma_linha=[] for i in range(0,n,1): c=0 for j in range(0.n,1): c=c+m[i][j] soma_linha.append(c) soma_coluna=0 for j in range(0,n,1): c2=0 for i in range(0,n,1): c2=c2+m[i][j] soma_coluna.append(c2) peça=0 for i in range(0,n,1): for j in range(0,n,1): if (soma_linha[i]+soma_coluna[j]-2*m[i][j]>peça: peça=soma_linha[i]+soma_coluna[j]-2*m[i][j] print(peça)

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

rafael.mota@ufca.edu.br

5acb43c07eab61bc8a8fd5259359e49af52e3a64

bbb21bb79c8c3efbad3dd34ac53fbd6f4590e697

/restAPI/manage.py

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[]

no_license

Nusmailov/BFDjango

b14c70c42da9cfcb68eec6930519da1d0b1f53b6

cab7f0da9b03e9094c21efffc7ab07e99e629b61

refs/heads/master

2020-03-28T21:11:50.706778

2019-01-21T07:19:19

149,136,999

0

null

UTF-8

Python

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554

py

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

[ "nusmailov@gmail.com" ]

nusmailov@gmail.com

050629c4fcfc80b4ca7aa69dbbfa34c66605e8f1

76050b0002dac757866a9fb95dc199918da665bb

/examples/multiagent/multigrid/run_multigrid.py

0b5ef0a06d99e8fcd41152dacded9ea9f749c7e6

[ "Apache-2.0" ]

permissive

RaoulDrake/acme

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97c50eaa62c039d8f4b9efa3e80c4d80e6f40c4c

refs/heads/master

2022-12-29T01:16:44.806891

2022-12-21T14:09:38

2022-12-21T14:10:06

300,250,466

0

Apache-2.0

2020-10-01T11:13:03

2020-10-01T11:13:02

null

UTF-8

Python

false

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# python3 # Copyright 2018 DeepMind Technologies Limited. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Multiagent multigrid training run example.""" from typing import Callable, Dict from absl import flags from acme import specs from acme.agents.jax.multiagent import decentralized from absl import app import helpers from acme.jax import experiments from acme.jax import types as jax_types from acme.multiagent import types as ma_types from acme.utils import lp_utils from acme.wrappers import multigrid_wrapper import dm_env import launchpad as lp FLAGS = flags.FLAGS _RUN_DISTRIBUTED = flags.DEFINE_bool( 'run_distributed', True, 'Should an agent be executed in a distributed ' 'way. If False, will run single-threaded.') _NUM_STEPS = flags.DEFINE_integer('num_steps', 10000, 'Number of env steps to run training for.') _EVAL_EVERY = flags.DEFINE_integer('eval_every', 1000, 'How often to run evaluation.') _ENV_NAME = flags.DEFINE_string('env_name', 'MultiGrid-Empty-5x5-v0', 'What environment to run.') _BATCH_SIZE = flags.DEFINE_integer('batch_size', 64, 'Batch size.') _SEED = flags.DEFINE_integer('seed', 0, 'Random seed.') def _make_environment_factory(env_name: str) -> jax_types.EnvironmentFactory: def environment_factory(seed: int) -> dm_env.Environment: del seed return multigrid_wrapper.make_multigrid_environment(env_name) return environment_factory def _make_network_factory( agent_types: Dict[ma_types.AgentID, ma_types.GenericAgent] ) -> Callable[[specs.EnvironmentSpec], ma_types.MultiAgentNetworks]: def environment_factory( environment_spec: specs.EnvironmentSpec) -> ma_types.MultiAgentNetworks: return decentralized.network_factory(environment_spec, agent_types, helpers.init_default_multigrid_network) return environment_factory def build_experiment_config() -> experiments.ExperimentConfig[ ma_types.MultiAgentNetworks, ma_types.MultiAgentPolicyNetworks, ma_types.MultiAgentSample]: """Returns a config for multigrid experiments.""" environment_factory = _make_environment_factory(_ENV_NAME.value) environment = environment_factory(_SEED.value) agent_types = { str(i): decentralized.DefaultSupportedAgent.PPO for i in range(environment.num_agents) # pytype: disable=attribute-error } # Example of how to set custom sub-agent configurations. ppo_configs = {'unroll_length': 16, 'num_minibatches': 32, 'num_epochs': 10} config_overrides = { k: ppo_configs for k, v in agent_types.items() if v == 'ppo' } configs = decentralized.default_config_factory(agent_types, _BATCH_SIZE.value, config_overrides) builder = decentralized.DecentralizedMultiAgentBuilder( agent_types=agent_types, agent_configs=configs) return experiments.ExperimentConfig( builder=builder, environment_factory=environment_factory, network_factory=_make_network_factory(agent_types=agent_types), seed=_SEED.value, max_num_actor_steps=_NUM_STEPS.value) def main(_): config = build_experiment_config() if _RUN_DISTRIBUTED.value: program = experiments.make_distributed_experiment( experiment=config, num_actors=4) lp.launch(program, xm_resources=lp_utils.make_xm_docker_resources(program)) else: experiments.run_experiment( experiment=config, eval_every=_EVAL_EVERY.value, num_eval_episodes=5) if __name__ == '__main__': app.run(main)

[ "copybara-worker@google.com" ]

copybara-worker@google.com

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/test_remote_project/test_remote_project/urls.py

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permissive

ollytheninja/django-autocomplete-light

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2021-01-21T03:50:46.975650

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MIT

2020-10-01T19:22:48

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from django.conf.urls import patterns, include, url import autocomplete_light autocomplete_light.autodiscover() # Uncomment the next two lines to enable the admin: from django.contrib import admin admin.autodiscover() urlpatterns = patterns('', # Examples: # url(r'^$', 'test_project.views.home', name='home'), # url(r'^test_project/', include('test_project.foo.urls')), # Uncomment the admin/doc line below to enable admin documentation: # url(r'^admin/doc/', include('django.contrib.admindocs.urls')), # Uncomment the next line to enable the admin: url(r'^admin/', include(admin.site.urls)), url(r'^autocomplete/', include('autocomplete_light.urls')), url(r'^navigation/', include('navigation_autocomplete.urls')), )

[ "jamespic@gmail.com" ]

jamespic@gmail.com

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/week3/snmp_app.py

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[ "Apache-2.0" ]

permissive

mikealford/ktbyers_automation

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refs/heads/master

2020-04-17T19:37:42.365653

2019-02-19T01:16:41

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import snmp_helper IP = '192.168.122.172' COMMUNITY_STRING = 'galileo1' SNMP_PORT = 161 pynet_rtr1 = (IP, COMMUNITY_STRING, SNMP_PORT) snmp_data = snmp_helper.snmp_get_oid(pynet_rtr1, oid='1.3.6.1.2.1.1.5.0') output = snmp_helper.snmp_extract(snmp_data) print(output)

[ "mike.alford13@gmail.com" ]

mike.alford13@gmail.com

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/embed/models/position_embedding_heads/avg_embedding_head.py

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[]

no_license

xmyqsh/embed

0ed297e636fb9d9db20dd908f92ef6212b9c3549

46d07ddf6c5908bdfff86ca3203c325ad34423dc

refs/heads/master

2023-06-11T08:25:37.733238

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import torch import torch.nn as nn import torch.nn.functional as F from embed.cv.cnn import ConvModule, bias_init_with_prob, normal_init from embed.cv.runner import auto_fp16 from embed.core.utils import multi_apply from embed.models import POSITION_EMBEDDING_HEADS from .base_position_embedding_head import BasePositionEmbeddingHead import numpy as np @POSITION_EMBEDDING_HEADS.register_module() class AvgEmbeddingHead(BasePositionEmbeddingHead): r"""Average Embedding Head. Args: in_channels (int): num_classes (int): scale_ranges (List[Tuple]): thres (float): """ def __init__(self, ignore_val=255, *args, **kwargs): super(AvgEmbeddingHead, self).__init__(*args, **kwargs) self.ignore_val = ignore_val # TODO(ljm) add this param into a proper place self.scale_factor = 1. / 4 def forward_train(self, x, pred_weights, gt_semantic_seg): pred_regions = self(x) gt_scoremap, gt_sem_label, gt_sem_mask, gt_sem_class, num_sts = \ self.get_targets(pred_regions, gt_semantic_seg) loss_pos_st = self.loss(pred_regions, gt_scoremap) gt_guided_idx_feat_sts = self.get_gt_guided_positions(pred_weights, gt_sem_mask, num_sts) return dict(loss_pos_st=loss_pos_st), \ dict(gt_guided_idx_feat_sts=gt_guided_idx_feat_sts, gt_sem_label=gt_sem_label, gt_sem_class=gt_sem_class, num_sts=num_sts) def get_targets(self, pred_regions, gt_semantic_seg): gt_semantic_seg[gt_semantic_seg == self.ignore_val] = self.num_classes gt_semantic_seg = F.one_hot(gt_semantic_seg.squeeze(1).long(), num_classes=self.num_classes + 1)[..., :-1] gt_semantic_seg = gt_semantic_seg.permute(0, 3, 1, 2).float().contiguous() ''' gt_semantic_seg = F.interpolate(gt_semantic_seg, scale_factor=self.scale_factor, mode='bilinear', align_corners=False).clamp(max=1.0) ''' return multi_apply(self.get_target_single_level, pred_regions, gt_semantic_seg=gt_semantic_seg) def get_target_single_level(self, pred_region, gt_semantic_seg): gt_scoremap = F.interpolate(gt_semantic_seg, size=pred_region.shape[-2:], mode='bilinear', align_corners=False).clamp(max=1.0) gt_scoremap[gt_scoremap < 0.5] = 0.0 gt_assign_mask = gt_scoremap.reshape(*gt_scoremap.shape[:-2], -1).sum(dim=-1) > 0 gt_sem_label, gt_sem_mask, gt_sem_class, num_sts = \ multi_apply(self.get_target_single_image, gt_semantic_seg, gt_scoremap, gt_assign_mask) return gt_scoremap, gt_sem_label, gt_sem_mask, gt_sem_class, num_sts def get_target_single_image(self, gt_semantic_seg, gt_scoremap, gt_assign_mask): gt_sem_class = torch.nonzero(gt_assign_mask, as_tuple=False).squeeze(-1) num_sem = gt_assign_mask.sum().item() gt_sem_label = gt_semantic_seg[gt_assign_mask] gt_sem_mask = gt_scoremap[gt_assign_mask].bool().float() return gt_sem_label, gt_sem_mask, gt_sem_class, num_sem def loss(self, pred_regions, gt_scoremap): return list(map(self.loss_single_level, pred_regions, gt_scoremap)) def loss_single_level(self, pred_region, gt_scoremap): b, c = pred_region.shape[:2] loss_pos = self.loss_pos(pred_region, gt_scoremap, reduction_override='none') loss_pos = loss_pos.reshape(b, c, -1).mean(dim=-1) loss_pos = loss_pos.sum() / b return loss_pos def get_gt_guided_positions(self, pred_weights, gt_sem_mask, num_sts): return list(map(self.get_gt_guided_position_single_level, pred_weights, gt_sem_mask, num_sts)) def get_gt_guided_position_single_level(self, pred_weight, gt_sem_mask, num_sts): idx_feat_sts = list(map(lambda a, b: a.unsqueeze(0) * b.unsqueeze(1), pred_weight, gt_sem_mask)) idx_feat_st = torch.cat(idx_feat_sts, dim=0) idx_feat_st = F.adaptive_avg_pool2d(idx_feat_st, output_size=1).squeeze(-1).squeeze(-1) return torch.split(idx_feat_st, num_sts, dim=0) def get_positions(self, pred_regions, pred_weights): return multi_apply(self.get_position_single_level, pred_regions, pred_weights) def get_position_single_level(self, pred_region, pred_weight): pred_region = pred_region.sigmoid() pred_cate = pred_region.argmax(dim=1) pred_st_mask = F.one_hot(pred_cate, num_classes=self.num_classes) pred_st_mask = pred_st_mask.permute(0, 3, 1, 2).contiguous() score_st = (pred_region * pred_st_mask).reshape(*pred_region.shape[:2], -1) idx_feat_sts, class_sts, score_sts, num_sts = \ multi_apply(self.get_position_single_image, pred_cate, pred_st_mask, score_st, pred_weight) idx_feat_st = torch.cat(idx_feat_sts, dim=0) idx_feat_st = F.adaptive_avg_pool2d(idx_feat_st, output_size=1).squeeze(-1).squeeze(-1) idx_feat_sts = torch.split(idx_feat_st, num_sts, dim=0) return idx_feat_sts, class_sts, score_sts, num_sts def get_position_single_image(self, pred_cate, pred_st_mask, score_st, pred_weight): class_st, num_class_st = torch.unique(pred_cate, return_counts=True) score_st = (score_st[class_st].sum(dim=-1) / num_class_st) pred_st_mask = pred_st_mask[class_st] keep = score_st > self.thres class_st, score_st, pred_st_mask = class_st[keep], score_st[keep], pred_st_mask[keep] num_st = keep.sum() idx_feat_st = pred_st_mask.unsqueeze(1) * pred_weight.unsqueeze(0) return idx_feat_st, class_st, score_st, num_st

[ "xmyqsh@gmail.com" ]

xmyqsh@gmail.com

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/sisco1/app1/migrations/0001_initial.py

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prasadnaidu1/django

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# Generated by Django 2.1.1 on 2018-10-18 11:54 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='friends', fields=[ ('entry', models.IntegerField(default=10, primary_key=True, serialize=False)), ('date', models.DateField()), ('amount', models.DecimalField(decimal_places=2, max_digits=10)), ('members', models.CharField(max_length=50)), ], ), ]

[ "you@example.com" ]

you@example.com

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/anaconda/anaconda/lib/python2.7/site-packages/anaconda_navigator/widgets/dialogs/tests/test_update_dialog.py

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permissive

starrysky1211/starrysky

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2022-11-09T21:51:22.558151

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# -*- coding: utf-8 -*- # ----------------------------------------------------------------------------- # Copyright 2016 Continuum Analytics, Inc. # # May be copied and distributed freely only as part of an Anaconda or # Miniconda installation. # ----------------------------------------------------------------------------- """ Tests for update dialog. """ # Third party imports from qtpy.QtCore import Qt # analysis:ignore import pytest import pytestqt.qtbot as qtbot # analysis:ignore # Local imports from anaconda_navigator.widgets.dialogs.update import DialogUpdateApplication @pytest.fixture def updatedialog(qtbot): widget = DialogUpdateApplication("1.0") widget.show() qtbot.addWidget(widget) return qtbot, widget class TestUpdateDialog: def test_yes(self, updatedialog): qtbot, widget = updatedialog with qtbot.waitSignal(widget.accepted, 1000, True): qtbot.mouseClick(widget.button_yes, Qt.LeftButton) def test_no(self, updatedialog): qtbot, widget = updatedialog with qtbot.waitSignal(widget.rejected, 1000, True): qtbot.mouseClick(widget.button_no, Qt.LeftButton)

[ "starry_sky_@outlook.com" ]

starry_sky_@outlook.com

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/Code/CodeRecords/2541/60698/283571.py

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[]

no_license

AdamZhouSE/pythonHomework

a25c120b03a158d60aaa9fdc5fb203b1bb377a19

ffc5606817a666aa6241cfab27364326f5c066ff

refs/heads/master

2022-11-24T08:05:22.122011

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def test(): n = int(input()) matches = list(eval(input())) segList = [] for match in matches: if not getSegList(segList, match): print('[]') return res = [] for seg in segList: topology(res, seg) for i in range(0, n): if i not in res: res.append(i) print(res) def getSegList(segList, match) -> bool: thisCourse = match[0] beforeCourse = match[1] if segList == []: segList.append([beforeCourse, thisCourse]) return True else: for i in range(0, len(segList)): seg = list(segList[i]) for j in range(0, len(seg)): for k in range(0,j): if seg[k]==thisCourse and seg[j]==beforeCourse: return False if seg[-1] == beforeCourse: seg.append(thisCourse) segList.pop(i) segList.insert(i,seg) return True segList.append([beforeCourse, thisCourse]) return True def topology(res, seg): ind = -1 for i in range(0, len(seg)): if seg[i] in res: ind = res.index(seg[i]) + 1 continue else: if ind == -1 or ind >= len(res): res.append(seg[i]) else: res.insert(ind, seg[i]) ind = ind + 1 test()

[ "1069583789@qq.com" ]

1069583789@qq.com

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/samples/cli/accelbyte_py_sdk_cli/achievement/_admin_create_new_achievement.py

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[ "MIT" ]

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AccelByte/accelbyte-python-sdk

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# Copyright (c) 2021 AccelByte Inc. All Rights Reserved. # This is licensed software from AccelByte Inc, for limitations # and restrictions contact your company contract manager. # # Code generated. DO NOT EDIT! # template_file: python-cli-command.j2 # AGS Achievement Service (2.21.0) # pylint: disable=duplicate-code # pylint: disable=line-too-long # pylint: disable=missing-function-docstring # pylint: disable=missing-module-docstring # pylint: disable=too-many-arguments # pylint: disable=too-many-branches # pylint: disable=too-many-instance-attributes # pylint: disable=too-many-lines # pylint: disable=too-many-locals # pylint: disable=too-many-public-methods # pylint: disable=too-many-return-statements # pylint: disable=too-many-statements # pylint: disable=unused-import import json import yaml from typing import Optional import click from .._utils import login_as as login_as_internal from .._utils import to_dict from accelbyte_py_sdk.api.achievement import ( admin_create_new_achievement as admin_create_new_achievement_internal, ) from accelbyte_py_sdk.api.achievement.models import ModelsAchievementRequest from accelbyte_py_sdk.api.achievement.models import ModelsAchievementResponse from accelbyte_py_sdk.api.achievement.models import ResponseError @click.command() @click.argument("body", type=str) @click.option("--namespace", type=str) @click.option("--login_as", type=click.Choice(["client", "user"], case_sensitive=False)) @click.option("--login_with_auth", type=str) @click.option("--doc", type=bool) def admin_create_new_achievement( body: str, namespace: Optional[str] = None, login_as: Optional[str] = None, login_with_auth: Optional[str] = None, doc: Optional[bool] = None, ): if doc: click.echo(admin_create_new_achievement_internal.__doc__) return x_additional_headers = None if login_with_auth: x_additional_headers = {"Authorization": login_with_auth} else: login_as_internal(login_as) if body is not None: try: body_json = json.loads(body) body = ModelsAchievementRequest.create_from_dict(body_json) except ValueError as e: raise Exception(f"Invalid JSON for 'body'. {str(e)}") from e result, error = admin_create_new_achievement_internal( body=body, namespace=namespace, x_additional_headers=x_additional_headers, ) if error: raise Exception(f"AdminCreateNewAchievement failed: {str(error)}") click.echo(yaml.safe_dump(to_dict(result), sort_keys=False)) admin_create_new_achievement.operation_id = "AdminCreateNewAchievement" admin_create_new_achievement.is_deprecated = False

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DefectDojo/django-DefectDojo

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from .dojo_test_case import DojoTestCase from django.contrib import admin import django.apps class AdminSite(DojoTestCase): fixtures = ['dojo_testdata.json'] def test_is_model_defined(self): for subclass in django.apps.apps.get_models(): if subclass._meta.proxy: continue if subclass.__module__ == 'dojo.models': if not ((subclass.__name__[:9] == "Tagulous_") and (subclass.__name__[-5:] == "_tags")): with self.subTest(type="base", subclass=subclass): self.assertIn(subclass, admin.site._registry.keys(), "{} is not registered in 'admin.site' in models.py".format(subclass)) else: with self.subTest(type="tag", subclass=subclass): self.assertIn(subclass, admin.site._registry.keys(), "{} is not registered in 'tagulous.admin' in models.py".format(subclass))

[ "noreply@github.com" ]

DefectDojo.noreply@github.com

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/ImageManipulations/BitwiseOperations.py

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[]

no_license

pekkipo/Computer_Vision

cd33a93f5706cd933761d02735f943354c6468fc

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refs/heads/master

2021-01-20T06:54:45.912254

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# Very useful for masking the images import cv2 import numpy as np # CREATE HALF AN ELLIPSE AND A RECTANGLE # If you're wondering why only two dimensions, well this is a grayscale image, # if we doing a colored image, we'd use # rectangle = np.zeros((300, 300, 3),np.uint8) # Making a square square = np.zeros((300, 300), np.uint8) cv2.rectangle(square, (50, 50), (250, 250), 255, -2) cv2.imshow("Square", square) cv2.waitKey(0) # Making a ellipse ellipse = np.zeros((300, 300), np.uint8) cv2.ellipse(ellipse, (150, 150), (150, 150), 30, 0, 180, 255, -1) cv2.imshow("Ellipse", ellipse) cv2.waitKey(0) cv2.destroyAllWindows() # BITWISE OPERATIONS # square and ellipse have to be of same dimensions # Shows only where they intersect And = cv2.bitwise_and(square, ellipse) cv2.imshow("AND", And) cv2.waitKey(0) # Shows where either square or ellipse is bitwiseOr = cv2.bitwise_or(square, ellipse) cv2.imshow("OR", bitwiseOr) cv2.waitKey(0) # Shows where either exist by itself. Everything that both ellipse and rectangle will be black bitwiseXor = cv2.bitwise_xor(square, ellipse) cv2.imshow("XOR", bitwiseXor) cv2.waitKey(0) # Shows everything that isn't part of the square bitwiseNot_sq = cv2.bitwise_not(square) # takes one figure. Doing inverse cv2.imshow("NOT - square", bitwiseNot_sq) cv2.waitKey(0) ### Notice the last operation inverts the image totally cv2.destroyAllWindows()

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pekkipodev@gmail.com

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# To work on the advanced problems, set to True ADVANCED = False def count_unique(string1): """Count unique words in a string. This function should take a single string and return a dictionary that has all of the distinct words as keys, and the number of times that word appears in the string. For example: >>> print_dict(count_unique("each word appears once")) {'appears': 1, 'each': 1, 'once': 1, 'word': 1} Words that appear more than once should be counted each time: >>> print_dict(count_unique("rose is a rose is a rose")) {'a': 2, 'is': 2, 'rose': 3} It's fine to consider punctuation part of a word (e.g., a comma at the end of a word can be counted as part of that word) and to consider differently-capitalized words as different: >>> print_dict(count_unique("Porcupine see, porcupine do.")) {'Porcupine': 1, 'do.': 1, 'porcupine': 1, 'see,': 1} """ uniquedict = {} string1 = string1.split() for word in string1: uniquedict[word] = uniquedict.setdefault(word, 0) + 1 return uniquedict print count_unique("each word weird word word appears once") def common_items(list1, list2): """Produce the set of common items in two lists. Given two lists, return a list of the common items shared between the lists. IMPORTANT: you may not not 'if ___ in ___' or the method 'index'. For example: >>> sorted(common_items([1, 2, 3, 4], [1, 2])) [1, 2] If an item appears more than once in both lists, return it each time: >>> sorted(common_items([1, 2, 3, 4], [1, 1, 2, 2])) [1, 1, 2, 2] (And the order of which has the multiples shouldn't matter, either): >>> sorted(common_items([1, 1, 2, 2], [1, 2, 3, 4])) [1, 1, 2, 2] """ pass def unique_common_items(list1, list2): """Produce the set of *unique* common items in two lists. Given two lists, return a list of the *unique* common items shared between the lists. IMPORTANT: you may not not 'if ___ in ___' or the method 'index'. Just like `common_items`, this should find [1, 2]: >>> sorted(unique_common_items([1, 2, 3, 4], [1, 2])) [1, 2] However, now we only want unique items, so for these lists, don't show more than 1 or 2 once: >>> sorted(unique_common_items([1, 2, 3, 4], [1, 1, 2, 2])) [1, 2] """ listdict = {} newlist = [] for i in list1: listdict[i] = listdict.setdefault(i, 0) + 1 for i in list2: listdict[i] = listdict.setdefault(i, 0) + 1 for key in listdict: if listdict[key] > 1: newlist.append(key) return newlist print unique_common_items([1, 2, 3, 4], [1, 2, 2, 3, 7, 8, 9]) def sum_zero(list1): """Return list of x,y number pair lists from a list where x+y==0 Given a list of numbers, add up each individual pair of numbers. Return a list of each pair of numbers that adds up to 0. For example: >>> sort_pairs( sum_zero([1, 2, 3, -2, -1]) ) [[-2, 2], [-1, 1]] This should always be a unique list, even if there are duplicates in the input list: >>> sort_pairs( sum_zero([1, 2, 3, -2, -1, 1, 1]) ) [[-2, 2], [-1, 1]] Of course, if there are one or more zeros to pair together, that's fine, too: >>> sort_pairs( sum_zero([1, 2, 3, -2, -1, 1, 0, 1, 0]) ) [[-2, 2], [-1, 1], [0, 0]] """ return [] def find_duplicates(words): """Given a list of words, return the list with duplicates removed. For example: >>> sorted(find_duplicates( ... ["rose", "is", "a", "rose", "is", "a", "rose"])) ['a', 'is', 'rose'] You should treat differently-capitalized words as different: >>> sorted(find_duplicates( ... ["Rose", "is", "a", "rose", "is", "a", "rose"])) ['Rose', 'a', 'is', 'rose'] """ listdict = {} newlist = [] for i in words: listdict[i] = listdict.setdefault(i, 0) + 1 print listdict for key in listdict: if listdict[key] == 1: newlist.append(key) return newlist def word_length(words): """Given list of words, return list of ascending [(len, [words])]. Given a list of words, return a list of tuples, ordered by word-length. Each tuple should have two items--the length of the words for that word-length, and the list of words of that word length. For example: >>> word_length(["ok", "an", "apple", "a", "day"]) [(1, ['a']), (2, ['ok', 'an']), (3, ['day']), (5, ['apple'])] """ return [] def pirate_talk(phrase): """Translate phrase to pirate talk. Given a phrase, translate each word to the Pirate-speak equivalent. Words that cannot be translated into Pirate-speak should pass through unchanged. Return the resulting sentence. Here's a table of English to Pirate translations: English Pirate ---------- ---------------- sir matey hotel fleabag inn student swabbie boy matey madam proud beauty professor foul blaggart restaurant galley your yer excuse arr students swabbies are be lawyer foul blaggart the th' restroom head my me hello avast is be man matey For example: >>> pirate_talk("my student is not a man") 'me swabbie be not a matey' You should treat words with punctuation as if they were different words: >>> pirate_talk("my student is not a man!") 'me swabbie be not a man!' """ return "" def adv_word_length_sorted_words(words): """Given list of words, return list of ascending [(len, [sorted-words])]. Given a list of words, return a list of tuples, ordered by word-length. Each tuple should have two items--the length of the words for that word-length, and the list of words of that word length. The list of words for that length should be sorted alphabetically. For example: >>> adv_word_length_sorted_words(["ok", "an", "apple", "a", "day"]) [(1, ['a']), (2, ['an', 'ok']), (3, ['day']), (5, ['apple'])] """ return [] ############################################################################## # You can ignore everything after here def print_dict(d): # This method is just used to print dictionaries in key-alphabetical # order, and is only used for our documentation tests. You can ignore it. if isinstance(d, dict): print "{" + ", ".join("%r: %r" % (k, d[k]) for k in sorted(d)) + "}" else: print d def sort_pairs(l): # Print sorted list of pairs where the pairs are sorted. This is used only # for documentation tests. You can ignore it. return sorted(sorted(pair) for pair in l) if __name__ == "__main__": print import doctest for k, v in globals().items(): if k[0].isalpha(): if k.startswith('adv_') and not ADVANCED: continue a = doctest.run_docstring_examples(v, globals(), name=k) print "** END OF TEST OUTPUT" print

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# Authors: Gilles Louppe, Mathieu Blondel, Maheshakya Wijewardena # License: BSD 3 clause import numpy as np from .base import SelectorMixin from ..base import BaseEstimator, clone, MetaEstimatorMixin from ..externals import six from ..exceptions import NotFittedError from ..utils.metaestimators import if_delegate_has_method def _get_feature_importances(estimator, norm_order=1): """Retrieve or aggregate feature importances from estimator""" importances = getattr(estimator, "feature_importances_", None) if importances is None and hasattr(estimator, "coef_"): if estimator.coef_.ndim == 1: importances = np.abs(estimator.coef_) else: importances = np.linalg.norm(estimator.coef_, axis=0, ord=norm_order) elif importances is None: raise ValueError( "The underlying estimator %s has no `coef_` or " "`feature_importances_` attribute. Either pass a fitted estimator" " to SelectFromModel or call fit before calling transform." % estimator.__class__.__name__) return importances def _calculate_threshold(estimator, importances, threshold): """Interpret the threshold value""" if threshold is None: # determine default from estimator est_name = estimator.__class__.__name__ if ((hasattr(estimator, "penalty") and estimator.penalty == "l1") or "Lasso" in est_name): # the natural default threshold is 0 when l1 penalty was used threshold = 1e-5 else: threshold = "mean" if isinstance(threshold, six.string_types): if "*" in threshold: scale, reference = threshold.split("*") scale = float(scale.strip()) reference = reference.strip() if reference == "median": reference = np.median(importances) elif reference == "mean": reference = np.mean(importances) else: raise ValueError("Unknown reference: " + reference) threshold = scale * reference elif threshold == "median": threshold = np.median(importances) elif threshold == "mean": threshold = np.mean(importances) else: raise ValueError("Expected threshold='mean' or threshold='median' " "got %s" % threshold) else: threshold = float(threshold) return threshold class SelectFromModel(BaseEstimator, SelectorMixin, MetaEstimatorMixin): """Meta-transformer for selecting features based on importance weights. .. versionadded:: 0.17 Parameters ---------- estimator : object The base estimator from which the transformer is built. This can be both a fitted (if ``prefit`` is set to True) or a non-fitted estimator. The estimator must have either a ``feature_importances_`` or ``coef_`` attribute after fitting. threshold : string, float, optional default None The threshold value to use for feature selection. Features whose importance is greater or equal are kept while the others are discarded. If "median" (resp. "mean"), then the ``threshold`` value is the median (resp. the mean) of the feature importances. A scaling factor (e.g., "1.25*mean") may also be used. If None and if the estimator has a parameter penalty set to l1, either explicitly or implicitly (e.g, Lasso), the threshold used is 1e-5. Otherwise, "mean" is used by default. prefit : bool, default False Whether a prefit model is expected to be passed into the constructor directly or not. If True, ``transform`` must be called directly and SelectFromModel cannot be used with ``cross_val_score``, ``GridSearchCV`` and similar utilities that clone the estimator. Otherwise train the model using ``fit`` and then ``transform`` to do feature selection. norm_order : non-zero int, inf, -inf, default 1 Order of the norm used to filter the vectors of coefficients below ``threshold`` in the case where the ``coef_`` attribute of the estimator is of dimension 2. Attributes ---------- estimator_ : an estimator The base estimator from which the transformer is built. This is stored only when a non-fitted estimator is passed to the ``SelectFromModel``, i.e when prefit is False. threshold_ : float The threshold value used for feature selection. """ def __init__(self, estimator, threshold=None, prefit=False, norm_order=1): self.estimator = estimator self.threshold = threshold self.prefit = prefit self.norm_order = norm_order def _get_support_mask(self): # SelectFromModel can directly call on transform. if self.prefit: estimator = self.estimator elif hasattr(self, 'estimator_'): estimator = self.estimator_ else: raise ValueError( 'Either fit SelectFromModel before transform or set "prefit=' 'True" and pass a fitted estimator to the constructor.') scores = _get_feature_importances(estimator, self.norm_order) threshold = _calculate_threshold(estimator, scores, self.threshold) return scores >= threshold def fit(self, X, y=None, **fit_params): """Fit the SelectFromModel meta-transformer. Parameters ---------- X : array-like of shape (n_samples, n_features) The training input samples. y : array-like, shape (n_samples,) The target values (integers that correspond to classes in classification, real numbers in regression). **fit_params : Other estimator specific parameters Returns ------- self : object Returns self. """ if self.prefit: raise NotFittedError( "Since 'prefit=True', call transform directly") self.estimator_ = clone(self.estimator) self.estimator_.fit(X, y, **fit_params) return self @property def threshold_(self): scores = _get_feature_importances(self.estimator_, self.norm_order) return _calculate_threshold(self.estimator, scores, self.threshold) @if_delegate_has_method('estimator') def partial_fit(self, X, y=None, **fit_params): """Fit the SelectFromModel meta-transformer only once. Parameters ---------- X : array-like of shape (n_samples, n_features) The training input samples. y : array-like, shape (n_samples,) The target values (integers that correspond to classes in classification, real numbers in regression). **fit_params : Other estimator specific parameters Returns ------- self : object Returns self. """ if self.prefit: raise NotFittedError( "Since 'prefit=True', call transform directly") if not hasattr(self, "estimator_"): self.estimator_ = clone(self.estimator) self.estimator_.partial_fit(X, y, **fit_params) return self

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class Solution(object): def findPoisonedDuration(self, timeSeries, duration): """ :type timeSeries: List[int] :type duration: int :rtype: int """ if timeSeries == []: return 0 res = 0 for i in range(1, len(timeSeries)): res += min(duration, timeSeries[i] - timeSeries[i - 1]) return res + duration

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apocalyptech/musictrack-cli

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#!/usr/bin/env python3 # vim: set expandtab tabstop=4 shiftwidth=4: # Adds a new album to the database from app import App, AppArgumentParser # Parse arguments parser = AppArgumentParser(description='Adds a new album to the database') group = parser.add_mutually_exclusive_group() group.add_argument('-l', '--live', action='store_true', help='Store as a live album') group.add_argument('-e', '--ep', action='store_true', help='Store as an EP') parser.add_argument('-f', '--force', action='store_true', help='Force an update, if the album already exists') parser.add_argument('filenames', type=str, nargs='+', metavar='filename', help='Filenames which make up the album') args = parser.parse_args() # Collapse our album type down a bit if args.live: album_type = 'live' elif args.ep: album_type = 'ep' else: album_type = 'album' # Do the work app = App(args.database) (added, status) = app.add_album(args.filenames, album_type, force_update=args.force) print(status) app.close()

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/flamingo/core/context.py

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import logging import shutil import os from flamingo.core.parser import FileParser, ParsingError from flamingo.core.data_model import ContentSet, Content from flamingo.core.utils.imports import acquire class Context: def __init__(self, settings): self.settings = settings # setup logging self.logger = logging.getLogger('flamingo') self.logger.debug('setting up context') # setup plugins self.plugins = [] plugins = (self.settings.CORE_PLUGINS + self.settings.DEFAULT_PLUGINS + self.settings.PLUGINS) for plugin in plugins: self.logger.debug("setting up plugin '%s' ", plugin) try: plugin_class = acquire(plugin) self.plugins.append(plugin_class()) except Exception: self.logger.error('plugin setup failed', exc_info=True) # setup parser self.parser = FileParser() self.run_plugin_hook('parser_setup') # parse contents self.contents = ContentSet() self.content = None self._media = [] # FIXME: this should be part of Content() for path in self.get_source_paths(): self.logger.debug("reading %s ", path) try: self.content = Content( path=os.path.relpath(path, settings.CONTENT_ROOT)) self.parser.parse(path, self.content) self.run_plugin_hook('content_parsed', self.content) self.contents.add(self.content) except ParsingError as e: self.logger.error('%s: %s', path, e) except Exception: self.logger.error('exception occoured while reading %s', path, exc_info=True) del self.content self.run_plugin_hook('contents_parsed') # setup templating engine templating_engine_class = acquire(settings.TEMPLATING_ENGINE) self.templating_engine = templating_engine_class( settings.THEME_PATHS + settings.CORE_THEME_PATHS ) self.run_plugin_hook('templating_engine_setup', self.templating_engine) self.run_plugin_hook('context_setup') def get_source_paths(self): self.logger.debug('searching for content') supported_extensions = self.parser.get_extensions() if self.settings.CONTENT_PATHS: self.logger.debug('using user defined content paths') for path in self.settings.CONTENT_PATHS: path = os.path.join(self.settings.CONTENT_ROOT, path) extension = os.path.splitext(path)[1][1:] if extension not in supported_extensions: self.logger.debug( "skipping '%s'. extension '%s' is not supported", path, extension) continue yield path else: self.logger.debug("searching content recursive in %s", self.settings.CONTENT_ROOT) for root, dirs, files in os.walk(self.settings.CONTENT_ROOT): for name in files: extension = os.path.splitext(name)[1][1:] if extension not in supported_extensions: continue yield os.path.join(root, name) def run_plugin_hook(self, name, *args, **kwargs): self.logger.debug("running plugin hook '%s'", name) for plugin in self.plugins: hook = getattr(plugin, name, None) if not hook: continue self.logger.debug('running %s.%s', plugin.__class__.__name__, name) hook(self, *args, **kwargs) def render(self, content, template_name=''): template_name = template_name or content['template'] template_context = { 'content': content, 'context': self, } return self.templating_engine.render(template_name, template_context) def copy_media(self, filename, content_source_path): # gen source_path if filename.startswith('/'): source_path = os.path.join( self.settings.CONTENT_ROOT, filename[1:]) else: source_path = os.path.join( os.path.dirname( os.path.join(self.settings.CONTENT_ROOT, content_source_path) ), filename, ) source_path = os.path.normpath(source_path) # gen destination_path destination_path = os.path.join( self.settings.MEDIA_ROOT, os.path.relpath(source_path, self.settings.CONTENT_ROOT), ) # gen link link = os.path.join( '/media', os.path.relpath(destination_path, self.settings.MEDIA_ROOT), ) # check if media exists if not os.path.exists(source_path): self.logger.critical( "media '%s' does not exist (used as '%s' in '%s')", source_path, filename, content_source_path, ) else: self._media.append((source_path, destination_path, )) return source_path, destination_path, link def build(self, clean=True): self.run_plugin_hook('pre_build') def makedirs(path): dirname = os.path.dirname(path) if not os.path.exists(dirname): self.logger.debug('mkdir -p %s', dirname) os.makedirs(dirname) # remove previous artifacts if clean and os.path.exists(self.settings.OUTPUT_ROOT): self.logger.debug('rm -rf %s', self.settings.OUTPUT_ROOT) shutil.rmtree(self.settings.OUTPUT_ROOT) # render contents for content in self.contents: output_path = os.path.join(self.settings.OUTPUT_ROOT, content['output']) makedirs(output_path) # render and write content with open(output_path, 'w+') as f: self.logger.debug("writing '%s'...", output_path) if content['template']: output = self.render(content) else: output = content['content'] f.write(output) if self.settings.CONTENT_PATHS: return # copy media for source_path, destination_path in self._media: makedirs(destination_path) self.logger.debug('cp %s %s', source_path, destination_path) shutil.copy(source_path, destination_path) # copy static for static_dir in self.templating_engine.find_static_dirs(): for root, dirs, files in os.walk(static_dir): for f in files: src = os.path.join(root, f) dst = os.path.join( self.settings.STATIC_ROOT, os.path.relpath(root, static_dir), f, ) self.logger.debug('cp %s %s', src, dst) makedirs(dst) shutil.copy(src, dst) self.run_plugin_hook('post_build')

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#calss header class _ENTHRONING(): def __init__(self,): self.name = "ENTHRONING" self.definitions = enthrone self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.basic = ['enthrone']

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

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refs/heads/master

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import itertools from typing import Dict, Tuple, Iterable import numpy as np import xarray as xr from xcube.util.dsio import FORMAT_NAME_ZARR, FORMAT_NAME_NETCDF4 def chunk_dataset(dataset: xr.Dataset, chunk_sizes: Dict[str, int] = None, format_name: str = None) -> xr.Dataset: """ Chunk dataset and update encodings for given format. :param dataset: input dataset :param chunk_sizes: mapping from dimension name to new chunk size :param format_name: format, e.g. "zarr" or "netcdf4" :return: the re-chunked dataset """ chunked_ds = dataset.chunk(chunks=chunk_sizes) # Update encoding so writing of chunked_ds recognizes new chunks chunk_sizes_attr_name = None if format_name == FORMAT_NAME_ZARR: chunk_sizes_attr_name = "chunks" if format_name == FORMAT_NAME_NETCDF4: chunk_sizes_attr_name = "chunksizes" if chunk_sizes_attr_name: for var_name in chunked_ds.variables: var = chunked_ds[var_name] if chunk_sizes: sizes = tuple(chunk_sizes[dim_name] if dim_name in chunk_sizes else var.shape[var.dims.index(dim_name)] for dim_name in var.dims) var.encoding.update({chunk_sizes_attr_name: sizes}) elif chunk_sizes_attr_name in var.encoding: # Remove any explicit and wrong specification so writing will use Dask chunks (TBC!) del var.encoding[chunk_sizes_attr_name] return chunked_ds def get_empty_dataset_chunks(dataset: xr.Dataset) -> Dict[str, Tuple[Tuple[int, ...]]]: """ Identify empty dataset chunks and return their indices. :param dataset: The dataset. :return: A mapping from variable name to a list of block indices. """ return {var_name: get_empty_var_chunks(dataset[var_name]) for var_name in dataset.data_vars} def get_empty_var_chunks(var: xr.DataArray) -> Tuple[Tuple[int, ...]]: """ Identify empty variable chunks and return their indices. :param var: The variable. :return: A list of block indices. """ chunks = var.chunks if chunks is None: raise ValueError('data array not chunked') chunk_slices = compute_chunk_slices(chunks) empty_chunk_indexes = [] for chunk_index, chunk_slice in chunk_slices: data_index = tuple(slice(start, end) for start, end in chunk_slice) data = var[data_index] if np.all(np.isnan(data)): empty_chunk_indexes.append(chunk_index) # print(f'empty: {var.name}/{".".join(map(str, chunk_index))}') # noinspection PyTypeChecker return tuple(empty_chunk_indexes) def compute_chunk_slices(chunks: Tuple[Tuple[int, ...], ...]) -> Iterable: chunk_indices = [] for c in chunks: chunk_indices.append(tuple(i for i in range(len(c)))) chunk_slices = [] for c in chunks: x = [] o = 0 for s in c: x.append((o, o + s)) o += s chunk_slices.append(tuple(x)) return zip(itertools.product(*chunk_indices), itertools.product(*chunk_slices))

[ "norman.fomferra@gmail.com" ]

norman.fomferra@gmail.com

3ac5574809b0a987b095ff860930ce7889a6010d

3b9338d99cf8090387418e32ca81617f072c39fb

/build_system_kit/extpy/runme.py

9984d9c89d00a26c95c9f157fb45f863659100e9

[]

no_license

sillsdevarchive/wsiwaf

8ca14c286bafceb9ee6fad740b64ad7131282dc3

2dcddafc3602a7220acbe995df4ba85abb06b767

refs/heads/master

2020-12-30T17:10:21.701380

2017-05-12T05:12:17

91,052,898

0

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null

UTF-8

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715

py

#! /usr/bin/env python # encoding: utf-8 """ Create a waf file able to read wscript files ending in ".py" execute a small test to show that it works The waf file includes "extpy.py" which performs the required modifications """ import os, subprocess up = os.path.dirname join = os.path.join cwd = os.getcwd() extpy = join(cwd, 'extpy.py') args = 'python waf-light --tools=compat15,%s --prelude=$"\tfrom waflib.extras import extpy\n" ' % extpy root = up(up(cwd)) subprocess.Popen(args, cwd=root, shell=True).wait() os.rename(join(root, 'waf'), join(cwd, 'waf.py')) env = dict(os.environ) if 'WAFDIR' in env: del env['WAFDIR'] subprocess.Popen('python waf.py configure', cwd=cwd, shell=True, env=env).wait()

[ "tnagy1024@f0382ac9-c320-0410-b3f0-b508d59f5a85" ]

tnagy1024@f0382ac9-c320-0410-b3f0-b508d59f5a85

6370647795edf476bd74936a53934d7af363aa50

a6ed990fa4326c625a2a02f0c02eedf758ad8c7b

/meraki/sdk/python/getOrganizationSamlRole.py

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[]

no_license

StevenKitavi/Meraki-Dashboard-API-v1-Documentation

cf2352976c6b6c00c17a5f6442cedf0aeed46c22

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refs/heads/main

2023-03-02T08:49:34.846055

2021-02-05T10:31:25

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null

UTF-8

Python

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py

import meraki # Defining your API key as a variable in source code is not recommended API_KEY = '6bec40cf957de430a6f1f2baa056b99a4fac9ea0' # Instead, use an environment variable as shown under the Usage section # @ https://github.com/meraki/dashboard-api-python/ dashboard = meraki.DashboardAPI(API_KEY) organization_id = '549236' saml_role_id = '' response = dashboard.organizations.getOrganizationSamlRole( organization_id, saml_role_id ) print(response)

[ "shiychen@cisco.com" ]

shiychen@cisco.com

af55da00f419a54f60e6f9d444592cf6fc9dfe8a

09301c71638abf45230192e62503f79a52e0bd80

/besco_erp/besco_sale/general_sale_margin/report/__init__.py

2b722f4eaeb7ee64f222222d8f751f72bc36c203

[]

no_license

westlyou/NEDCOFFEE

24ef8c46f74a129059622f126401366497ba72a6

4079ab7312428c0eb12015e543605eac0bd3976f

refs/heads/master

2020-05-27T06:01:15.188827

2017-11-14T15:35:22

null

0

null

UTF-8

Python

false

279

py

# -*- coding: utf-8 -*- ############################################################################## # # ############################################################################## import sales_fiscalyear # vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:

[ "son.huynh@nedcoffee.vn" ]

son.huynh@nedcoffee.vn

dd080f3fb34b5813c336f55367f9d6d793eaf669

90419da201cd4948a27d3612f0b482c68026c96f

/sdk/python/pulumi_azure_nextgen/apimanagement/v20190101/get_api_version_set.py

c4fb809e041874e3b5c0a04404aedfa32889fdd7

[ "BSD-3-Clause", "Apache-2.0" ]

permissive

test-wiz-sec/pulumi-azure-nextgen

cd4bee5d70cb0d332c04f16bb54e17d016d2adaf

20a695af0d020b34b0f1c336e1b69702755174cc

refs/heads/master

2023-06-08T02:35:52.639773

2020-11-06T22:39:06

312,993,761

0

Apache-2.0

2023-06-02T06:47:28

2020-11-15T09:04:00

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UTF-8

Python

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5,626

py

# 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 __all__ = [ 'GetApiVersionSetResult', 'AwaitableGetApiVersionSetResult', 'get_api_version_set', ] @pulumi.output_type class GetApiVersionSetResult: """ Api Version Set Contract details. """ def __init__(__self__, description=None, display_name=None, name=None, type=None, version_header_name=None, version_query_name=None, versioning_scheme=None): if description and not isinstance(description, str): raise TypeError("Expected argument 'description' to be a str") pulumi.set(__self__, "description", description) if display_name and not isinstance(display_name, str): raise TypeError("Expected argument 'display_name' to be a str") pulumi.set(__self__, "display_name", display_name) if name and not isinstance(name, str): raise TypeError("Expected argument 'name' to be a str") pulumi.set(__self__, "name", name) if type and not isinstance(type, str): raise TypeError("Expected argument 'type' to be a str") pulumi.set(__self__, "type", type) if version_header_name and not isinstance(version_header_name, str): raise TypeError("Expected argument 'version_header_name' to be a str") pulumi.set(__self__, "version_header_name", version_header_name) if version_query_name and not isinstance(version_query_name, str): raise TypeError("Expected argument 'version_query_name' to be a str") pulumi.set(__self__, "version_query_name", version_query_name) if versioning_scheme and not isinstance(versioning_scheme, str): raise TypeError("Expected argument 'versioning_scheme' to be a str") pulumi.set(__self__, "versioning_scheme", versioning_scheme) @property @pulumi.getter def description(self) -> Optional[str]: """ Description of API Version Set. """ return pulumi.get(self, "description") @property @pulumi.getter(name="displayName") def display_name(self) -> str: """ Name of API Version Set """ return pulumi.get(self, "display_name") @property @pulumi.getter def name(self) -> str: """ Resource name. """ return pulumi.get(self, "name") @property @pulumi.getter def type(self) -> str: """ Resource type for API Management resource. """ return pulumi.get(self, "type") @property @pulumi.getter(name="versionHeaderName") def version_header_name(self) -> Optional[str]: """ Name of HTTP header parameter that indicates the API Version if versioningScheme is set to `header`. """ return pulumi.get(self, "version_header_name") @property @pulumi.getter(name="versionQueryName") def version_query_name(self) -> Optional[str]: """ Name of query parameter that indicates the API Version if versioningScheme is set to `query`. """ return pulumi.get(self, "version_query_name") @property @pulumi.getter(name="versioningScheme") def versioning_scheme(self) -> str: """ An value that determines where the API Version identifer will be located in a HTTP request. """ return pulumi.get(self, "versioning_scheme") class AwaitableGetApiVersionSetResult(GetApiVersionSetResult): # pylint: disable=using-constant-test def __await__(self): if False: yield self return GetApiVersionSetResult( description=self.description, display_name=self.display_name, name=self.name, type=self.type, version_header_name=self.version_header_name, version_query_name=self.version_query_name, versioning_scheme=self.versioning_scheme) def get_api_version_set(resource_group_name: Optional[str] = None, service_name: Optional[str] = None, version_set_id: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetApiVersionSetResult: """ Use this data source to access information about an existing resource. :param str resource_group_name: The name of the resource group. :param str service_name: The name of the API Management service. :param str version_set_id: Api Version Set identifier. Must be unique in the current API Management service instance. """ __args__ = dict() __args__['resourceGroupName'] = resource_group_name __args__['serviceName'] = service_name __args__['versionSetId'] = version_set_id if opts is None: opts = pulumi.InvokeOptions() if opts.version is None: opts.version = _utilities.get_version() __ret__ = pulumi.runtime.invoke('azure-nextgen:apimanagement/v20190101:getApiVersionSet', __args__, opts=opts, typ=GetApiVersionSetResult).value return AwaitableGetApiVersionSetResult( description=__ret__.description, display_name=__ret__.display_name, name=__ret__.name, type=__ret__.type, version_header_name=__ret__.version_header_name, version_query_name=__ret__.version_query_name, versioning_scheme=__ret__.versioning_scheme)

[ "public@paulstack.co.uk" ]

public@paulstack.co.uk

7fb792bad28f1c928186db0504bcf02a1cacecad

aa81fe0b271ffddfd9f3bac6ebf0d4c503fb1ad8

/MultiPlanarUNet/sequences/isotrophic_live_view_sequence_3d.py

97bb66d6d3081b0ef8919a52bcde07fff1c54eca

[ "MIT" ]

permissive

admshumar/MultiPlanarUNet

dd295d182e82ce903025ff2cb4895b2727c7b56a

6b59e8f2e0fb9601c17dc32eec4bb114971bf0a1

refs/heads/master

2020-07-31T12:12:41.695269

2019-08-01T07:36:04

null

0

null

UTF-8

Python

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7,050

py

from MultiPlanarUNet.sequences.isotrophic_live_view_sequence import IsotrophicLiveViewSequence from MultiPlanarUNet.interpolation.sample_grid import sample_box, sample_box_at from MultiPlanarUNet.interpolation.linalg import mgrid_to_points import numpy as np class IsotrophicLiveViewSequence3D(IsotrophicLiveViewSequence): def __init__(self, image_pair_loader, real_box_dim, bg_class, scaler, no_log=False, **kwargs): super().__init__(image_pair_loader, **kwargs) self.bg_class = bg_class self.scaler = scaler self.real_box_dim = real_box_dim self.batch_shape = (self.batch_size, self.sample_dim, self.sample_dim, self.sample_dim, self.n_classes) if not no_log: self.log() def log(self): self.logger("Using sample dim: %s" % self.sample_dim) self.logger("Using box real dim: %s" % self.real_box_dim) self.logger("Using real space sample res: %s" % (self.real_box_dim/ self.sample_dim)) self.logger("N fg slices: %s" % self.n_fg_slices) self.logger("Batch size: %s" % self.batch_size) self.logger("Force all FG: %s" % self.force_all_fg) def __len__(self): """ Controlled in train.py """ return 10000 @staticmethod def _intrp_and_norm(image, grid, intrp_lab): # Interpolate im = image.interpolator.intrp_image(grid) # Normalize im = image.scaler.transform(im) lab = None if intrp_lab: lab = image.interpolator.intrp_labels(grid) return im, lab def get_base_patches_from(self, image, return_y=False, batch_size=1): real_dims = image.real_shape # Calculate positions sample_space = np.asarray([max(i, self.real_box_dim) for i in real_dims]) d = (sample_space - self.real_box_dim) min_cov = [np.ceil(sample_space[i]/self.real_box_dim).astype(np.int) for i in range(3)] ds = [np.linspace(0, d[i], min_cov[i]) - sample_space[i]/2 for i in range(3)] # Get placement coordinate points placements = mgrid_to_points(np.meshgrid(*tuple(ds))) for p in placements: grid, axes, inv_mat = sample_box_at(real_placement=p, sample_dim=self.sample_dim, real_box_dim=self.real_box_dim, noise_sd=0.0, test_mode=True) im, lab = self._intrp_and_norm(image, grid, return_y) if return_y: yield im, lab, grid, axes, inv_mat, len(placements) else: yield im, grid, axes, inv_mat, len(placements) def get_N_random_patches_from(self, image, N, return_y=False): if N > 0: # Sample N patches from X for i in range(N): # Get grid and interpolate grid, axes, inv_mat = sample_box(sample_dim=self.sample_dim, real_box_dim=self.real_box_dim, real_dims=image.real_shape, noise_sd=self.noise_sd, test_mode=True) im, lab = self._intrp_and_norm(image, grid, return_y) if return_y: yield im, lab, grid, axes, inv_mat else: yield im, grid, axes, inv_mat else: return [] def __getitem__(self, idx): """ Used by keras.fit_generator to fetch mini-batches during training """ # If multiprocessing, set unique seed for this particular process self.seed() # Store how many slices has fg so far has_fg = 0 has_fg_vec = np.zeros_like(self.fg_classes) # Interpolate on a random index for each sample image to generate batch batch_x, batch_y, batch_w = [], [], [] # Get a random image max_tries = self.batch_size * 15 # Number of images to use in each batch. Number should be low enough # to not exhaust queue generator. N = 2 if self.image_pair_loader.queue else self.batch_size cuts = np.round(np.linspace(0, self.batch_size, N+1)[1:]) scalers = [] bg_values = [] for i, image in enumerate(self.image_pair_loader.get_random(N=N)): tries = 0 # Sample a batch from the image while len(batch_x) < cuts[i]: # Get grid and interpolate mgrid = sample_box(sample_dim=self.sample_dim, real_box_dim=self.real_box_dim, real_dims=image.real_shape, noise_sd=self.noise_sd) # Get interpolated labels lab = image.interpolator.intrp_labels(mgrid) valid_lab, fg_change = self.validate_lab(lab, has_fg, len(batch_y)) if self.force_all_fg and tries < max_tries: valid, has_fg_vec = self.validate_lab_vec(lab, has_fg_vec, len(batch_y)) if not valid: tries += 1 continue if valid_lab or tries > max_tries: # Get interpolated image im = image.interpolator.intrp_image(mgrid) if tries > max_tries or self.is_valid_im(im, image.bg_value): # Update foreground counter has_fg += fg_change # Save scaler to normalize image later (after potential # augmentation) scalers.append(image.scaler) # Save bg value if needed in potential augmenters bg_values.append(image.bg_value) # Add to batches batch_x.append(im) batch_y.append(lab) batch_w.append(image.sample_weight) # Apply augmentation if specified batch_x, batch_y, batch_w = self.augment(batch_x, batch_y, batch_w, bg_values) # Normalize images batch_x = self.scale(batch_x, scalers) # Reshape, one-hot encode etc. batch_x, batch_y, batch_w = self.prepare_batches(batch_x, batch_y, batch_w) assert len(batch_x) == self.batch_size return batch_x, batch_y, batch_w

[ "mathias@perslev.com" ]

mathias@perslev.com

a5f77e33734ac4166f39a977b6fb45bb27e0877b

0ce10b36e9e886c79dca46e2247603b17475206a

/cell2cell/external/__init__.py

e8bb83dc0a7e1ded1f6450b3e063913378edc7e8

[ "BSD-3-Clause" ]

permissive

earmingol/cell2cell

dd5e5186a8793097db4e28bdf23c340399effd22

9fa855d48dc9c4b132fc59e2de1db23a37dc7c5e

refs/heads/master

2023-05-31T02:12:51.127542

2023-04-20T19:39:54

182,623,687

46

10

BSD-3-Clause

2023-04-20T19:39:55

2019-04-22T04:37:54

Python

UTF-8

Python

false

257

py

from cell2cell.external.pcoa import (pcoa, pcoa_biplot, _check_ordination) from cell2cell.external.goenrich import (goa, ontology) from cell2cell.external.gseapy import (load_gmt, generate_lr_geneset, run_gsea) from cell2cell.external.umap import (run_umap)

[ "earmingol14@gmail.com" ]

earmingol14@gmail.com

79b59580a3c12ad1a907baf87ad0c83e41650f0c

73744790709a75fa15bd3a9c141777b81acf6402

/dsl_parser/tests/test_get_consumers.py

e7612b10eeaeb7bd0d54a87f5825c0e58de59c58

[ "Apache-2.0" ]

permissive

cloudify-cosmo/cloudify-common

aea8f9b9b1f5d85a23b6f8d3f61b8a445d2fc27e

246550c150e33e3e8cf815e1ecff244d82293832

refs/heads/master

2023-08-24T12:44:40.277500

2023-08-17T08:54:31

132,621,915

8

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Apache-2.0

2023-08-24T12:27:03

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UTF-8

Python

false

3,239

py

from dsl_parser import functions from dsl_parser.tasks import prepare_deployment_plan from dsl_parser.tests.abstract_test_parser import AbstractTestParser class TestGetConsumers(AbstractTestParser): def setUp(self): super(TestGetConsumers, self).setUp() self.mock_storage = self.mock_evaluation_storage( consumers={ 'app1': 'App1', 'app2': 'My Second App', 'app3': 'App #3' }) def test_node_template_properties_simple(self): yaml = """ node_types: type: properties: property: {} node_templates: node: type: type properties: property: { get_consumers: ids } """ parsed = prepare_deployment_plan(self.parse_1_3(yaml)) node = self.get_node_by_name(parsed, 'node') self.assertEqual({'get_consumers': 'ids'}, node['properties']['property']) functions.evaluate_functions(parsed, {}, self.mock_storage) self.assertEqual(set(node['properties']['property']), {'app1', 'app2', 'app3'}) def test_consumers_in_outputs(self): yaml = """ node_types: type: {} node_templates: node: type: type outputs: consumers: value: { get_consumers: ids } consumer_count: value: { get_consumers: count } """ parsed = prepare_deployment_plan(self.parse_1_3(yaml)) outputs = parsed.outputs self.assertEqual({'get_consumers': 'ids'}, outputs['consumers']['value']) functions.evaluate_functions(parsed, {}, self.mock_storage) self.assertEqual(set(outputs['consumers']['value']), {'app1', 'app2', 'app3'}) self.assertEqual(outputs['consumer_count']['value'], 3) def test_consumers_in_inputs(self): yaml = """ inputs: consumer_count: default: { get_consumers: count } consumer_names: default: { get_consumers: names } node_types: type: {} node_templates: node: type: type outputs: consumers: value: { get_input: consumer_names } consumer_count: value: { get_input: consumer_count } """ parsed = prepare_deployment_plan(self.parse_1_3(yaml)) outputs = parsed.outputs # `get_input` is evaluated at parse time, so we expect to see it # replaced here with the `get_consumers_count` function self.assertEqual({'get_consumers': 'count'}, outputs['consumer_count']['value']) functions.evaluate_functions(parsed, {}, self.mock_storage) self.assertEqual(outputs['consumer_count']['value'], 3) self.assertEqual(set(outputs['consumers']['value']), {'App1', 'My Second App', 'App #3'}) def test_illegal_arguments(self): yaml = """ node_types: type: properties: property: {} node_templates: node: type: type properties: property: { get_consumers: [a, b] } """ self.assertRaisesRegex( ValueError, "Illegal argument passed to get_consumers", self.parse_1_3, yaml)

[ "noreply@github.com" ]

cloudify-cosmo.noreply@github.com

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9e988c0dfbea15cd23a3de860cb0c88c3dcdbd97

/sdBs/AllRun/sdssj_092520.01+273619.7/sdB_SDSSJ_092520.01+273619.7_coadd.py

3c92de12f087f3a8d072508af616ae85d6589595

[]

no_license

tboudreaux/SummerSTScICode

73b2e5839b10c0bf733808f4316d34be91c5a3bd

4dd1ffbb09e0a599257d21872f9d62b5420028b0

refs/heads/master

2021-01-20T18:07:44.723496

2016-08-08T16:49:53

65,221,159

0

null

UTF-8

Python

false

482

py

from gPhoton.gMap import gMap def main(): gMap(band="NUV", skypos=[141.333375,27.605472], skyrange=[0.0333333333333,0.0333333333333], stepsz = 30., cntfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdBs/sdB_SDSSJ_092520.01+273619.7/sdB_SDSSJ_092520.01+273619.7_movie_count.fits", cntcoaddfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdB/sdB_SDSSJ_092520.01+273619.7/sdB_SDSSJ_092520.01+273619.7_count_coadd.fits", overwrite=True, verbose=3) if __name__ == "__main__": main()

[ "thomas@boudreauxmail.com" ]

thomas@boudreauxmail.com

0f95cdce65712bdf588c43e499e4f3c3114fd710

e8a8d8099419306feb8849625f65357456b6a2ae

/proj/app/models.py

4beb0e5041f2baa1d0e3b62ee95cc1796dee1cb1

[]

no_license

Sentret/classificator

57224597f64f44462be61228e6ed7e18b6973181

86aafc5884215918f1cdac92f17360ac671dc703

refs/heads/master

2021-08-30T09:52:48.157374

2017-12-17T10:17:39

114,526,924

0

null

UTF-8

Python

false

1,203

py

from django.db import models class Topic(models.Model): name = models.CharField(max_length=100) classifier = models.ForeignKey('Classifier', blank=True, null=True) class Meta: unique_together = ('name', 'classifier',) def __str__(self): return self.name class Classifier(models.Model): name = models.CharField(max_length=100) discription = models.TextField(max_length=1000, null=True) version = models.ForeignKey('ClassifierVersion', blank=True, null=True) status = models.CharField(max_length=8, default='Не обучен') path_to_bin = models.CharField(max_length=100, null=True) def save(self, *args, **kwargs): self.path_to_bin = str(self.name) + '_pickle' return super(Classifier, self).save(*args, **kwargs) def __str__(self): return self.name class ClassifierVersion(models.Model): topics = models.ManyToManyField('Topic') version = models.IntegerField() #путь до файла, с сериализованным объектом path_to_bin = models.CharField(max_length=25) def __str__(self): return self.classifier.name + ' ' + str(version)

[ "you@example.com" ]

you@example.com

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from d3m import container from d3m.base import utils as base_utils class CombineColumns: params = [[100, 300, 500, 700, 900]] param_names = ['columns'] def setup(self, columns): self.large_dataframe_with_many_columns = container.DataFrame({str(i): [j for j in range(5)] for i in range(columns)}, columns=[str(i) for i in range(columns)], generate_metadata=True) self.list_of_many_dataframe_columns = [ container.DataFrame({str(i): [j for j in range(5, 10)]}, columns=[str(i)], generate_metadata=True) for i in range(int(columns / 2)) ] def time_append(self, columns): base_utils.combine_columns( self.large_dataframe_with_many_columns, list(range(int(columns / 4), int(columns / 2))), # Just 1/4 of columns. self.list_of_many_dataframe_columns, return_result='append', add_index_columns=True, ) def time_replace(self, columns): base_utils.combine_columns( self.large_dataframe_with_many_columns, list(range(int(columns / 4), int(columns / 2))), # Just 1/4 of columns. self.list_of_many_dataframe_columns, return_result='replace', add_index_columns=True, ) def time_new(self, columns): base_utils.combine_columns( self.large_dataframe_with_many_columns, list(range(int(columns / 4), int(columns / 2))), # Just 1/4 of columns. self.list_of_many_dataframe_columns, return_result='new', add_index_columns=True, )

[ "daochen.zha@tamu.edu" ]

daochen.zha@tamu.edu

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/0x0A-python-inheritance/100-my_int.py

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feliciahsieh/holbertonschool-higher_level_programming

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2019-04-10T18:24:59

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#!/usr/bin/python3 class MyInt(int): """ MyInt - class that inherits from int """ def __eq__(self, other): """ __eq__ - redefine == to != Args: other - other operand Return: True if Not_Equal to """ return int(self) != int(other) def __ne__(self, other): """ __ne__ - redefine != to == Args: other - other operand Return: True if Equal to """ return int(self) == int(other)

[ "felicia@tixwriteoff.com" ]

felicia@tixwriteoff.com