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

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# ## BEGIN LICENSE BLOCK # # Copyright (c) <2012>, Raul Perez <repejota@gmail.com> # 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 the <organization> 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 <COPYRIGHT HOLDER> 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. # ## END LICENSE BLOCK # import sys import os sys.path.insert(0, os.path.abspath('..'))

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from django.contrib import admin from .models import * class SubjectAdmin(admin.ModelAdmin): list_display = ('subject_name', 'created_by', 'is_published', ) list_display_links = ('subject_name',) list_filter = ('subject_name', 'created_by',) list_editable = ('is_published',) search_fields = ('subject_name', 'created_by', ) prepopulated_fields = {"slug": ('subject_name',)} list_per_page = 25 admin.site.register(Subject, SubjectAdmin)

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# Проблемът на тази задача е, че не знаем горната граница на интервала # Например, не знае първите 4 перфектни числа в какъв интервал са # За това подхождаме по следния начин - while True: # За всяко число +1 гледаме дали е перфектно # Aко намерим перфектно, намаляваме търснеата бройка с 1 # Когато търсената бройка стане 0, приключваме n = input("Enter n: ") n = int(n) start = 6 while True: divisors_sum = 0 divisor = 1 while divisor < start: if start % divisor == 0: divisors_sum += divisor divisor += 1 if divisors_sum == start: print(start) n = n - 1 if n == 0: break start += 1

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# 一个关于+=的谜题 t = (1, 2, [30, 40]) t[2] += [50, 60] # 到底会发生下面4中情况中的哪一种？ # a. t变成 (1, 2, [30, 40, 50, 60])。 # b. 因为 tuple 不支持对它的元素赋值，所以会抛出 TypeError 异常。 # c. 以上两个都不是。 # d. a 和 b 都是对的。 # 在终端中运行：没人料到的结果：t[2] 被改动了，但是也有异常抛出 # t # TypeError Traceback (most recent call last) # <ipython-input-2-d877fb0e9d36> in <module> # ----> 1 t[2] += [50, 60] # # TypeError: 'tuple' object does not support item assignment # t # (1, 2, [30, 40, 50, 60]) # 所以答案是 d

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# # This file was generated using xslt from its XML file # # Copyright 2009, Associated Universities Inc., Washington DC # import sys import os from casac import * import string from taskinit import casalog from taskinit import xmlpath #from taskmanager import tm import task_exportfits def exportfits(imagename='', fitsimage='', velocity=False, optical=False, bitpix=-32, minpix=0, maxpix=-1, overwrite=False, dropstokes=False, stokeslast=True, history=True, dropdeg=False): """Convert a CASA image to a FITS file FOR MORE INFORMATION, SEE THE TASK PAGES OF EXPORTFITS IN CASA DOCS: https://casa.nrao.edu/casadocs/ """ # # The following is work around to avoid a bug with current python translation # mytmp = {} mytmp['imagename'] = imagename mytmp['fitsimage'] = fitsimage mytmp['velocity'] = velocity mytmp['optical'] = optical mytmp['bitpix'] = bitpix mytmp['minpix'] = minpix mytmp['maxpix'] = maxpix mytmp['overwrite'] = overwrite mytmp['dropstokes'] = dropstokes mytmp['stokeslast'] = stokeslast mytmp['history'] = history mytmp['dropdeg'] = dropdeg pathname='file://' + xmlpath( ) + '/' trec = casac.utils().torecord(pathname+'exportfits.xml') casalog.origin('exportfits') if trec.has_key('exportfits') and casac.utils().verify(mytmp, trec['exportfits']) : result = task_exportfits.exportfits(imagename, fitsimage, velocity, optical, bitpix, minpix, maxpix, overwrite, dropstokes, stokeslast, history, dropdeg) else : result = False return result

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import qml from chemhelp import cheminfo import numpy as np from rdkit import Chem import sys args = sys.argv[1:] filename = args[0] molobjs = cheminfo.read_sdffile(filename) for i, molobj in enumerate(molobjs): molobj = next(molobjs) # stat = cheminfo.molobj_optimize(molobj) # print(stat) dist = Chem.rdmolops.Get3DDistanceMatrix(molobj) np.fill_diagonal(dist, 10.0) min_dist = np.min(dist) if min_dist < 0.01: print(i, min_dist) smi = cheminfo.molobj_to_smiles(molobj) molobj = cheminfo.conformationalsearch(smi) dist = Chem.rdmolops.Get3DDistanceMatrix(molobj) np.fill_diagonal(dist, 10.0) min_dist = np.min(dist) print(smi) print(min_dist) # atoms, coord = cheminfo.molobj_to_xyz(molobj) # atoms = list(atoms) # many_atoms = [atoms] # mbtypes = qml.representations.get_slatm_mbtypes(many_atoms) # rep = qml.representations.generate_slatm(coord, atoms, mbtypes) # print(cheminfo.molobj_to_smiles(molobj)) # print(rep.mean())

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# Copyright 2010-2014, 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. { 'variables': { 'relative_dir': 'rewriter', 'gen_out_dir': '<(SHARED_INTERMEDIATE_DIR)/<(relative_dir)', }, 'targets': [ { 'target_name': 'rewriter', 'type': 'static_library', 'sources': [ '<(gen_out_dir)/embedded_collocation_data.h', '<(gen_out_dir)/embedded_collocation_suppression_data.h', '<(gen_out_dir)/emoji_rewriter_data.h', '<(gen_out_dir)/emoticon_rewriter_data.h', '<(gen_out_dir)/reading_correction_data.h', '<(gen_out_dir)/single_kanji_rewriter_data.h', '<(gen_out_dir)/symbol_rewriter_data.h', '<(gen_out_dir)/usage_rewriter_data.h', 'calculator_rewriter.cc', 'collocation_rewriter.cc', 'collocation_util.cc', 'correction_rewriter.cc', 'command_rewriter.cc', 'date_rewriter.cc', 'dice_rewriter.cc', 'dictionary_generator.cc', 'embedded_dictionary.cc', 'emoji_rewriter.cc', 'emoticon_rewriter.cc', 'english_variants_rewriter.cc', 'focus_candidate_rewriter.cc', 'fortune_rewriter.cc', 'language_aware_rewriter.cc', 'normalization_rewriter.cc', 'number_compound_util.cc', 'number_rewriter.cc', 'remove_redundant_candidate_rewriter.cc', 'rewriter.cc', 'single_kanji_rewriter.cc', 'symbol_rewriter.cc', 'transliteration_rewriter.cc', 'unicode_rewriter.cc', 'usage_rewriter.cc', 'user_boundary_history_rewriter.cc', 'user_dictionary_rewriter.cc', 'user_segment_history_rewriter.cc', 'variants_rewriter.cc', 'version_rewriter.cc', 'zipcode_rewriter.cc', ], 'dependencies': [ '../base/base.gyp:base', '../base/base.gyp:config_file_stream', '../composer/composer.gyp:composer', '../config/config.gyp:character_form_manager', '../config/config.gyp:config_handler', '../config/config.gyp:config_protocol', '../converter/converter_base.gyp:conversion_request', '../converter/converter_base.gyp:immutable_converter', '../data_manager/data_manager.gyp:user_pos_manager', '../dictionary/dictionary.gyp:dictionary', '../dictionary/dictionary_base.gyp:pos_matcher', '../session/session_base.gyp:session_protocol', '../storage/storage.gyp:storage', '../usage_stats/usage_stats_base.gyp:usage_stats', 'calculator/calculator.gyp:calculator', 'rewriter_base.gyp:gen_rewriter_files#host', ], 'xcode_settings' : { 'SDKROOT': 'iphoneos', 'IPHONEOS_DEPLOYMENT_TARGET': '7.0', 'ARCHS': '$(ARCHS_UNIVERSAL_IPHONE_OS)', }, 'conditions':[ ['target_platform=="Android"', { 'sources!': [ '<(gen_out_dir)/usage_rewriter_data.h', 'usage_rewriter.cc', ], }], ] }, ], }

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"""DeepNeuro: A deep learning python package for neuroimaging data. Created by the Quantitative Tumor Imaging Lab at the Martinos Center (Harvard-MIT Program in Health, Sciences, and Technology / Massachussets General Hospital). """ DOCLINES = __doc__.split("\n") import sys from setuptools import setup, find_packages from codecs import open from os import path if sys.version_info[:2] < (2, 7): raise RuntimeError("Python version 2.7 or greater required.") setup( name = 'deepneuro', # packages = ['qtim_tools'], # this must be the same as the name above version = '0.1.1', description = DOCLINES[0], packages = find_packages(), entry_points = { "console_scripts": ['segment_gbm = deepneuro.pipelines.Segment_GBM.cli:main', 'skull_strip = deepneuro.pipelines.Skull_Stripping.cli:main'], }, author = 'Andrew Beers', author_email = 'abeers@mgh.harvard.edu', url = 'https://github.com/QTIM-Lab/DeepNeuro', # use the URL to the github repo download_url = 'https://github.com/QTIM-Lab/DeepNeuro/tarball/0.1.1', keywords = ['neuroimaging', 'neuroncology', 'neural networks', 'neuroscience', 'neurology', 'deep learning', 'fmri', 'pet', 'mri', 'dce', 'dsc', 'dti', 'machine learning', 'computer vision', 'learning', 'keras', 'theano', 'tensorflow', 'nfiti', 'nrrd', 'dicom'], install_requires=['keras', 'pydicom', 'pynrrd', 'nibabel', 'numpy', 'scipy', 'scikit-image==0.12.3'], classifiers = [], )

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"""DjangoDrf URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.0/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path,include,re_path from django.views.static import serve import xadmin from rest_framework.documentation import include_docs_urls from rest_framework.routers import DefaultRouter from rest_framework_jwt.views import obtain_jwt_token from .settings import MEDIA_ROOT from goods.views import GoodsList,CategoryViewset from users.views import SmsCodeView,UserView #使用router注册Url router = DefaultRouter() router.register('goods',GoodsList,base_name="GoodsList") # 配置Category的url router.register('categorys', CategoryViewset, base_name="categories") #发送验证码 router.register("code",SmsCodeView,base_name="sms_code") #用户 router.register("users",UserView,base_name="users") urlpatterns = [ # path('admin/', admin.site.urls), #rest_framewor的Url,方便测试 path('api-auth/', include('rest_framework.urls')), #xadmin后台Url path('xadmin/', xadmin.site.urls), # 富文本相关url path('ueditor/', include('DjangoUeditor.urls')), # 处理图片显示的url,使用Django自带serve,传入参数告诉它去哪个路径找，我们有配置好的路径MEDIAROOT re_path('media/(?P<path>.*)', serve, {"document_root": MEDIA_ROOT}), #rest_framework自动化文档,1.11版本中注意此处前往不要加$符号 path('docs/',include_docs_urls(title='mtianyan生鲜超市文档')), #食品列表 # path('goods/',GoodsList.as_view(),name="食品列表"), #使用router注册Url path('', include(router.urls)), #使用jwt来登录 path('login/',obtain_jwt_token), ]

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import tacoma as tc print("===== edge_lists => edge_lists =====") L = tc.edge_lists() L.N = 4 L.t = [0.0,1.0,2.0] L.tmax = 3.0 L.edges = [ [ (0,1) ], [ (1,2), (0,2) ], [ (0,1) ], ] L2 = tc.edge_lists() L2.N = 4 L2.t = [0.0,1.0,2.0] L2.tmax = 3.0 L2.edges = [ [ (3,1) ], [ (3,2), (0,2) ], ] new = tc.concatenate([L,L2,L]) print(new.N) print(new.t) print(new.tmax) print(new.edges) print("===== edge_changes => edge_changes =====") C = tc.edge_changes() C.N = 4 C.edges_initial = [ (0,1) ] C.t0 = 1.0 C.tmax = 3.0 C.t = [ 2.0, ] C.edges_in = [ [ (1,2), (0,2) ], ] C.edges_out = [ [ (0,1) ], ] C2 = tc.edge_changes() C2.N = 4 C2.edges_initial = [ (3,1) ] C2.t0 = 1.0 C2.tmax = 3.0 C2.t = [ 2.0, ] C2.edges_in = [ [ (3,2), (0,2) ], ] C2.edges_out = [ [ (3,1) ], ] new = tc.concatenate([C,C2,C]) print(new.N) print(new.t0) print(new.t) print(new.tmax) print(new.edges_initial) print(new.edges_in) print(new.edges_out)

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# encoding: utf-8 from __future__ import absolute_import from ._font import FontSize, FontWeight from ._style import Align, Style, ThousandSeparator from ._styler import ( HtmlStyler, LatexStyler, NullStyler, TextStyler, MarkdownStyler, ReStructuredTextStyler, ) from dataproperty import Format

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test = { 'hidden': False, 'name': '0.2', 'points': 1, 'suites': [ { 'cases': [ { 'code': r""" >>> p_50 == 76 True """, 'hidden': False, 'locked': False } ], 'scored': True, 'setup': '', 'teardown': '', 'type': 'doctest' } ] }

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'''一个类''' # 导入另外一个类 from cars import Car class Battery(): # 定义一个类 def __init__(self, battery_size = 70): # 定义一个方法，传入一个形参，如果没有传入参数值，则默认值 self.battery_size = battery_size # 初始化 def describe_battery(self): # 定义一个方法 print(str(self.battery_size)) # 打印 def get_range(self): # 定义一个方法 if self.battery_size == 70: # 当 range = 240 elif self.battery_size == 85: # 当 range = 270 message = 'T ' + str(range) message += ' m' print(message) # 打印 class ElectricCar(Car): # 定义子类，（）中必须包含父类名称 def __init__(self, make, model, year): # 接受创建父类实例所需信息 # 初始化父类属性 # super()：特殊方法；将父类与子类关联 super().__init__(make, model, year) self.battery = Battery() # 子类包含这个属性，父类不包含

[ "jzheng@qumitech.local" ]

jzheng@qumitech.local

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from setuptools import setup setup( name = 'mypackage', version = 0.1, packages = ['mypackage'], install_requires = ['numpy'] )

[ "anirbancnha@gmail.com" ]

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# Generated by Django 2.1 on 2018-08-14 17:50 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('teams', '0047_taskcomment'), ] operations = [ migrations.RenameField( model_name='taskcomment', old_name='content', new_name='comment', ), ]

[ "valberg@orn.li" ]

valberg@orn.li

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/untitled1.py

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girishdhegde/aps-2020

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import cv2 import numpy as np def dense(): global cap,currentframe if denseflag==1: x=currentframe x1=x-100 y1=x+100 count=x1 cap.set(1,x1) ret, frame1 = cap.read() prvs = cv2.cvtColor(frame1,cv2.COLOR_BGR2GRAY) while(count<y1): ret, frame2 = cap.read() next1 = cv2.cvtColor(frame2,cv2.COLOR_BGR2GRAY) flow = cv2.calcOpticalFlowFarneback(prvs,next1, None, 0.5, 3, 15, 3, 5, 1.2, 0) a=flow[0] a=np.sum(np.square(a)) b=flow[1] b=np.sum(np.square(b)) z=np.sqrt(a+b) data.append([count,z]) print(count) #cv2.imshow('frame1',frame1) #k = cv2.waitKey(30) & 0xff #if k == 27: # break prvs = next1 count+=1 List = [data[f][1] for f in range(len(data))] high=List.index(max(List)) print(high) cap.set(1,data[high][0]) currentframe = data[high][0] ret, frame1 = cap.read() cv2.destroyAllWindows() cv2.imshow('frame',frame1) else : print("Check mark optical flow") temp=[] data=[] def left(): global currentframe,high,List,temp,cap if denseflag==1: if(high!=0): temp=[List[f] for f in range(0,high)] high=temp.index(max(temp)) high=List.index(temp[high]) print(data[high][0]) cap.set(1,data[high][0]) currentframe = data[high][0] ret, frame1 = cap.read() cv2.destroyAllWindows() cv2.imshow('frame',frame1) else: print("Go right") else : print("Check mark optical flow") def right(): global high,List,cap,currentframe if denseflag==1: if(high!=199): temp=[List[f] for f in range(high+1,200)] high=temp.index(max(temp)) high=List.index(temp[high]) print(data[high][0]) cap.set(1,data[high][0]) currentframe = data[high][0] ret, frame1 = cap.read() cv2.destroyAllWindows() cv2.imshow('frame',frame1) else: print("Go left") else : print("Check mark optical flow")

[ "girsihdhegde12499@gmail.com" ]

girsihdhegde12499@gmail.com

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/cci_salesman/wizard/extract_participations.py

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philmervdm/modules_cci_odoo8

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2021-01-09T20:02:58.326569

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# -*- encoding: utf-8 -*- ############################################################################## # # OpenERP, Open Source Management Solution # Copyright (C) 2004-2009 Tiny SPRL (<http://tiny.be>). All Rights Reserved # $Id$ # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. # ############################################################################## import wizard import pooler import datetime def _club_active_participations(self, cr, uid, data, context): club_id = data['id'] # cr.execute('SELECT p.id FROM cci_club_participation as p, cci_club_participation_state as s WHERE p.group_id = %s AND ( p.date_out is null OR p.date_out > %s ) #AND p.state_id = s.id AND s.current', (club_id, datetime.date.today() )) # res = cr.fetchall() # part_ids = [x[0] for x in res] # value = { # 'domain': [('id', 'in', part_ids)], # 'name': 'Active Participations', # 'view_type': 'form', # 'view_mode': 'tree,form', # 'res_model': 'cci_club.participation', # 'context': {}, # 'type': 'ir.actions.act_window' # } # THE FOLLOWING WAY IS MORE DYNAMIC value = { 'domain': [('group_id', '=', club_id),('state_id.current','=',True),'|',('date_out','=',False),('date_out','>',datetime.date.today().strftime('%Y-%m-%d') )], 'name': 'Active Participations', 'view_type': 'form', 'view_mode': 'tree,form', 'res_model': 'cci_club.participation', 'context': {}, 'type': 'ir.actions.act_window' } return value class wizard_club_active_participations(wizard.interface): states = { 'init': { 'actions': [], 'result': { 'type': 'action', 'action': _club_active_participations, 'state': 'end' } }, } wizard_club_active_participations("wizard_cci_club_active_participations") # vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:

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philmer@ccilvn.be

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2021-01-07T05:36:27.879856

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# -*- coding: utf-8 -*- # ------------------------------------------------------------------------------ # # Copyright 2018-2019 Fetch.AI Limited # # 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. # # ------------------------------------------------------------------------------ """This module contains the support resources for the default protocol."""

[ "david.minarsch@googlemail.com" ]

david.minarsch@googlemail.com

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/plotly/validators/carpet/baxis/tickformatstop/_name.py

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mode/plotly.py

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import _plotly_utils.basevalidators class NameValidator(_plotly_utils.basevalidators.StringValidator): def __init__( self, plotly_name='name', parent_name='carpet.baxis.tickformatstop', **kwargs ): super(NameValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop('edit_type', 'calc'), role=kwargs.pop('role', 'style'), **kwargs )

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mode.noreply@github.com

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# coding: utf-8 import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class BatchDeleteIterationsV4Request: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ sensitive_list = [] openapi_types = { 'project_id': 'str', 'body': 'BatchDeleteIterationsV4RequestBody' } attribute_map = { 'project_id': 'project_id', 'body': 'body' } def __init__(self, project_id=None, body=None): """BatchDeleteIterationsV4Request The model defined in huaweicloud sdk :param project_id: devcloud项目的32位id :type project_id: str :param body: Body of the BatchDeleteIterationsV4Request :type body: :class:`huaweicloudsdkprojectman.v4.BatchDeleteIterationsV4RequestBody` """ self._project_id = None self._body = None self.discriminator = None self.project_id = project_id if body is not None: self.body = body @property def project_id(self): """Gets the project_id of this BatchDeleteIterationsV4Request. devcloud项目的32位id :return: The project_id of this BatchDeleteIterationsV4Request. :rtype: str """ return self._project_id @project_id.setter def project_id(self, project_id): """Sets the project_id of this BatchDeleteIterationsV4Request. devcloud项目的32位id :param project_id: The project_id of this BatchDeleteIterationsV4Request. :type project_id: str """ self._project_id = project_id @property def body(self): """Gets the body of this BatchDeleteIterationsV4Request. :return: The body of this BatchDeleteIterationsV4Request. :rtype: :class:`huaweicloudsdkprojectman.v4.BatchDeleteIterationsV4RequestBody` """ return self._body @body.setter def body(self, body): """Sets the body of this BatchDeleteIterationsV4Request. :param body: The body of this BatchDeleteIterationsV4Request. :type body: :class:`huaweicloudsdkprojectman.v4.BatchDeleteIterationsV4RequestBody` """ self._body = body def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: if attr in self.sensitive_list: result[attr] = "****" else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" import simplejson as json if six.PY2: import sys reload(sys) sys.setdefaultencoding("utf-8") return json.dumps(sanitize_for_serialization(self), ensure_ascii=False) def __repr__(self): """For `print`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, BatchDeleteIterationsV4Request): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

[ "hwcloudsdk@huawei.com" ]

hwcloudsdk@huawei.com

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m-hahn/grammar-optim

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import os import random import sys header = ["index", "word", "lemma", "posUni", "posFine", "morph", "head", "dep", "_", "_"] def readUDCorpus(language, partition): basePaths = ["/u/scr/mhahn/grammar-optim_ADDITIONAL/corpora/"] files = [] while len(files) == 0: if len(basePaths) == 0: print("No files found") raise IOError basePath = basePaths[0] del basePaths[0] files = os.listdir(basePath) files = list(filter(lambda x:x.startswith("UD_"+language), files)) data = [] for name in files: if "Sign" in name: print("Skipping "+name) continue assert ("Sign" not in name) if "Chinese-CFL" in name: print("Skipping "+name) continue suffix = name[len("UD_"+language):] subDirectory =basePath+"/"+name subDirFiles = os.listdir(subDirectory) partitionHere = partition candidates = list(filter(lambda x:"-ud-"+partitionHere+"." in x and x.endswith(".conllu"), subDirFiles)) if len(candidates) == 0: print("Did not find "+partitionHere+" file in "+subDirectory) continue if len(candidates) == 2: candidates = list(filter(lambda x:"merged" in x, candidates)) assert len(candidates) == 1, candidates try: dataPath = subDirectory+"/"+candidates[0] with open(dataPath, "r") as inFile: newData = inFile.read().strip().split("\n\n") assert len(newData) > 1 data = data + newData except IOError: print("Did not find "+dataPath) assert len(data) > 0, (language, partition, files) print >> sys.stderr, "Read "+str(len(data))+ " sentences from "+str(len(files))+" "+partition+" datasets." return data class CorpusIterator(): def __init__(self, language, partition="train", storeMorph=False, splitLemmas=False, shuffleData=True, shuffleDataSeed=None, splitWords=False): assert not splitLemmas self.splitLemmas = splitLemmas self.splitWords = splitWords assert not self.splitWords self.storeMorph = storeMorph data = readUDCorpus(language, partition) if shuffleData: if shuffleDataSeed is None: random.shuffle(data) else: random.Random(shuffleDataSeed).shuffle(data) self.data = data self.partition = partition self.language = language assert len(data) > 0, (language, partition) def permute(self): random.shuffle(self.data) def length(self): return len(self.data) def processSentence(self, sentence): sentence = list(map(lambda x:x.split("\t"), sentence.split("\n"))) result = [] for i in range(len(sentence)): # print sentence[i] if sentence[i][0].startswith("#"): continue if "-" in sentence[i][0]: # if it is NUM-NUM continue if "." in sentence[i][0]: continue sentence[i] = dict([(y, sentence[i][x]) for x, y in enumerate(header)]) sentence[i]["head"] = int(sentence[i]["head"]) sentence[i]["index"] = int(sentence[i]["index"]) sentence[i]["word"] = sentence[i]["word"].lower() if self.splitLemmas: sentence[i]["lemmas"] = sentence[i]["lemma"].split("+") if self.storeMorph: sentence[i]["morph"] = sentence[i]["morph"].split("|") if self.splitWords: sentence[i]["words"] = sentence[i]["word"].split("_") sentence[i]["dep"] = sentence[i]["dep"].lower() if self.language == "LDC2012T05" and sentence[i]["dep"] == "hed": sentence[i]["dep"] = "root" if self.language == "LDC2012T05" and sentence[i]["dep"] == "wp": sentence[i]["dep"] = "punct" result.append(sentence[i]) # print sentence[i] return result def getSentence(self, index): result = self.processSentence(self.data[index]) return result def iterator(self, rejectShortSentences = False): for sentence in self.data: if len(sentence) < 3 and rejectShortSentences: continue yield self.processSentence(sentence)

[ "mhahn29@gmail.com" ]

mhahn29@gmail.com

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/python_code/vnev/Lib/site-packages/jdcloud_sdk/services/mps/apis/GetNotificationRequest.py

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Ureimu/weather-robot

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# coding=utf8 # Copyright 2018 JDCLOUD.COM # # 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. # # NOTE: This class is auto generated by the jdcloud code generator program. from jdcloud_sdk.core.jdcloudrequest import JDCloudRequest class GetNotificationRequest(JDCloudRequest): """ 获取媒体处理通知 """ def __init__(self, parameters, header=None, version="v1"): super(GetNotificationRequest, self).__init__( '/regions/{regionId}/notification', 'GET', header, version) self.parameters = parameters class GetNotificationParameters(object): def __init__(self, regionId, ): """ :param regionId: region id """ self.regionId = regionId

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[]

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AK-1121/code_extraction

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# Making a call to a Chef server from Windows PE > perl Configure VC-WIN32 no-asm no-shared > ms\do_ms > nmake -f ms\ntdll.mak

[ "ubuntu@ip-172-31-7-228.us-west-2.compute.internal" ]

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michaelcrubenstein/consentrecords

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# Migrate translation objects to translation types. import datetime import django import tzlocal import getpass import sys from django.db import transaction from django.contrib.auth import authenticate from django.db.models import F from django.db.models import Count from consentrecords.models import TransactionState, Terms, Instance, Value, DeletedValue, DeletedInstance from consentrecords.models import UserInfo, NameList from consentrecords.models import AccessRecord from consentrecords import pathparser if __name__ == "__main__": django.setup() timezoneoffset = -int(tzlocal.get_localzone().utcoffset(datetime.datetime.now()).total_seconds()/60) if len(sys.argv) > 1: username = sys.argv[1] else: username = input('Email Address: ') password = getpass.getpass("Password: ") user = authenticate(username=username, password=password) if not user: raise ValueError("user was not authenticated") with transaction.atomic(): transactionState = TransactionState(user, timezoneoffset) Terms.initialize(transactionState) i = Instance.objects.filter(deletedinstance__isnull=False).count() j = Value.objects.filter(deletedvalue__isnull=False).count() for x in Instance.objects.filter(deletedinstance__isnull=False): x.deleteTransaction = x.deletedinstance.transaction x.save() for x in Value.objects.filter(deletedvalue__isnull=False): x.deleteTransaction = x.deletedvalue.transaction x.save() print("migrate %s instances" % i) print("migrate %s values" % j) input('Confirm transaction: ') print("Complete.")

[ "michaelcrubenstein@gmail.com" ]

michaelcrubenstein@gmail.com

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no_license

chenyuchuting0912/SwitchML

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#!/usr/bin/python from mininet.net import Mininet from mininet.node import Controller, RemoteController, OVSController from mininet.node import CPULimitedHost, Host, Node from mininet.node import OVSKernelSwitch, UserSwitch from mininet.node import IVSSwitch from mininet.cli import CLI from mininet.log import setLogLevel, info from mininet.link import TCLink, Intf from subprocess import call def myNetwork(): net = Mininet( topo=None, build=False, ipBase='10.0.0.0/8') info( '*** Adding controller\n' ) info( '*** Add switches\n') s1 = net.addSwitch('s1', cls=OVSKernelSwitch) info( '*** Add hosts\n') h2 = net.addHost('h2', cls=Host, ip='10.0.0.2', defaultRoute=None) h3 = net.addHost('h3', cls=Host, ip='10.0.0.3', defaultRoute=None) h1 = net.addHost('h1', cls=Host, ip='10.0.0.1', defaultRoute=None) info( '*** Add links\n') h3s1 = {'bw':10,'delay':'5ms','loss':0,'max_queue_size':1000} net.addLink(h3, s1, cls=TCLink , **h3s1) h1s1 = {'bw':10,'delay':'5ms','loss':0,'max_queue_size':1000} net.addLink(h1, s1, cls=TCLink , **h1s1) h2s1 = {'bw':10,'delay':'5ms','loss':0,'max_queue_size':1000} net.addLink(h2, s1, cls=TCLink , **h2s1) info( '*** Starting network\n') net.build() info( '*** Starting controllers\n') for controller in net.controllers: controller.start() info( '*** Starting switches\n') net.get('s1').start([]) info( '*** Post configure switches and hosts\n') CLI(net) net.stop() if __name__ == '__main__': setLogLevel( 'info' ) myNetwork()

[ "18227357674@163.com" ]

18227357674@163.com

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/plotly/validators/choropleth/_reversescale.py

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permissive

miladrux/plotly.py

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import _plotly_utils.basevalidators class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator): def __init__( self, plotly_name='reversescale', parent_name='choropleth', **kwargs ): super(ReversescaleValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type='calc', role='style', **kwargs )

[ "adam.kulidjian@gmail.com" ]

adam.kulidjian@gmail.com

1f84f12505ff59602d122001d005785a8f5bce8d

adbedf9626c52748aa048f2b17c18d25262b4d56

/robot_framework_baseline_comparator/BaselineComparator/html_baseline.py

34eefcebeb0891f7888d2198c466c78c88472e5c

[]

no_license

sanjitroy1992/robot_framework_custom_libraries

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e5fde8f428a4d46d5cacb2c5369f9c59529f5c91

refs/heads/master

2022-11-06T09:11:02.148601

2020-06-29T09:35:46

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from Libraries.Common.BaselineComparator.HTMLTBodyComparator import HTMLBodyComparator from Libraries.Common.BaselineComparator.HTMLTBodyComparator import HTMLFooterComparator from Libraries.Common.BaselineComparator.HTMLTBodyComparator import HTMLHeaderComparator from Libraries.Utilities import ReportBuilder from itertools import zip_longest import lxml.html class HTMLBaseline(object): def __init__(self): self.success = True self.error_msgs = set() @staticmethod def convert_csv_to_html(header, body): table = lxml.html.fromstring('<table>') header_lxml = HTMLBaseline._list_to_tbody(header) body_lxml = HTMLBaseline._list_to_tbody(body) table.append(header_lxml) table.append(body_lxml) return lxml.html.tostring(table, encoding='unicode') @staticmethod def _list_to_tbody(list_of_rows): tbody = lxml.html.fromstring('<tbody>') for row in list_of_rows: tr = lxml.html.fromstring('<tr>') for cell_text in row: td = lxml.html.fromstring('<td>') if cell_text is None: td.text = "missed_or_extra_cell" else: td.text = cell_text.strip() tr.append(td) tbody.append(tr) return tbody def _open_file(self, baseline_file): with open(baseline_file, "rb") as f: return f.read() def compare_html_pivot_baseline_to_application(self, baseline, app): self.success = True self.error_msgs = set() report = ReportBuilder() tbody, thead = self._prepare_table_for_pivot(report) app, baseline = self._prepere_lxml_baseline_and_app(app, baseline) self._compare_pivot_upper_part(app, baseline, report, thead) self._compare_pivot_lower_part(app, baseline, report, tbody) return self.success, self.error_msgs def _compare_pivot_lower_part(self, app, baseline, report, tbody): for row_left, row_right in zip_longest(self._compare_pivot_part(app, baseline, report, 3), self._compare_pivot_part(app, baseline, report, 4)): self._merge_pivot_parts(report, row_left, row_right, tbody) def _merge_pivot_parts(self, report, row_left, row_right, tbody): if row_left is None: row_left = report.create_row() td = report.create_td() row_left.append(td) right_tds = row_right.getchildren() for td in right_tds: row_left.append(td) tbody.append(row_left) def _compare_pivot_upper_part(self, app, baseline, report, thead): for row_left, row_right in zip_longest(self._compare_pivot_part(app, baseline, report, 1), self._compare_pivot_part(app, baseline, report, 2)): self._merge_pivot_parts(report, row_left, row_right, thead) def _prepere_lxml_baseline_and_app(self, app, baseline): baseline = lxml.html.fromstring(baseline) app = lxml.html.fromstring(app) for tr in baseline.xpath(r".//tr[not(.//td[text()])]"): tr.drop_tree() for tr in app.xpath(r".//tr[not(.//td[text()])]"): tr.drop_tree() return app, baseline def _prepare_table_for_pivot(self, report): table = report.create_table() thead = report.create_thead() tbody = report.create_tbody() table.append(thead) table.append(tbody) return tbody, thead def _compare_pivot_part(self, app, baseline, report, index): baseline_lxml = baseline.xpath('.//td[@id="no-boarder{}"]'.format(index))[0] application_lxml = app.xpath('.//td[@id="no-boarder{}"]'.format(index))[0] body_comparator = HTMLBodyComparator(baseline_lxml, application_lxml) comparison = list(body_comparator.icompare()) self.success = self.success and body_comparator.success self.error_msgs.update(body_comparator.error_msgs) return comparison def compare_html_baseline_to_app(self, baseline, app, skip_columns_names=None, sort_column_names=None, key_column_names=None, missing_columns=None): table_comparison = self._compare_table_to_baseline(baseline, app, skip_columns_names, sort_column_names, key_column_names, missing_columns) print("*HTML* {}".format(table_comparison)) return self.success, self.messages def _compare_table_to_baseline(self, baseline, app, skip_columns_names=None, sort_column_names=None, key_column_names=None, missing_columns=[]): report = ReportBuilder() table = report.create_table() app, baseline = self._prepere_lxml_baseline_and_app(app, baseline) baseline_header = [i.text_content() for i in baseline.xpath(".//tbody")[0].xpath(".//tr")[0].xpath(".//td[not(@id)]")] if missing_columns: missing_columns_index = [baseline_header.index(i) for i in missing_columns] else: missing_columns_index = None header_comparator = HTMLHeaderComparator(self._get_tbody_by_index(baseline, 0), self._get_tbody_by_index(app, 0), skip_columns_names, key_column_names ) body_comparator = HTMLBodyComparator(self._get_tbody_by_index(baseline, 1), self._get_tbody_by_index(app, 1), header_comparator.get_columns_indexes(skip_columns_names), header_comparator.get_columns_indexes(sort_column_names), header_comparator.get_columns_indexes(key_column_names), baseline_header, missing_columns_index ) footer_comparator = HTMLFooterComparator(self._get_tbody_by_index(baseline, 2), self._get_tbody_by_index(app, 2), header_comparator.get_columns_indexes(skip_columns_names) ) header_comparison = header_comparator.compare() body_comparison, unique_key_found = body_comparator.compare() if unique_key_found: header_comparator = HTMLHeaderComparator(self._get_tbody_by_index(baseline, 0), self._get_tbody_by_index(app, 0), skip_columns_names, key_column_names=unique_key_found ) header_comparison = header_comparator.compare() footer_comparison = footer_comparator.compare() table.append(header_comparison) table.append(body_comparison) table.append(footer_comparison) self.success = all([header_comparator.success, body_comparator.success, footer_comparator.success]) self.messages = set() self.messages.update(header_comparator.error_msgs, body_comparator.error_msgs, footer_comparator.error_msgs) return report @staticmethod def _get_tbody_by_index(app, index): try: app_part = app.xpath(".//tbody")[index] except IndexError: app_part = lxml.html.fromstring("") return app_part

[ "sanjit.roy@finastra.com" ]

sanjit.roy@finastra.com

277537b8ae7e47142a220286372b6306e21c780c

a024fe3b05dd320a7860165dd72ebd832ce6e484

/account_cajas/models/payment_group.py

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[]

no_license

acostaw/erp_odoo

97d02a675908e441cf8e1ba4e3dcbc62691f8dec

2437997b650c9fdbf6a6f007c0a1fea2aab018e2

refs/heads/main

2023-04-19T14:52:48.877851

2021-04-22T18:40:07

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from odoo import fields, api, models, exceptions class PaymentGroup(models.Model): _inherit = 'grupo_account_payment.payment.group' caja_session_id = fields.Many2one( 'account.caja.session', string="Sesión de caja") def get_sesion(self): sesion = self.env['account.caja.session'].search( [('company_id', '=', self.company_id.id or self.env.user.company_id.id), ('user_id', '=', self.env.user.id), ('state', '=', 'proceso')]) return sesion def button_confirmar(self): for i in self: for j in i.payment_ids: caja = i.get_sesion().caja_id if j.journal_id.id not in caja.journal_ids.ids: raise exceptions.ValidationError('No se puede crear una linea de pago en el diario %s, el mismo no está habilitado para ésta caja.' %j.journal_id.name) super(PaymentGroup, i).button_confirmar() for j in i.payment_ids: sesion = i.get_sesion() for s in sesion.statement_ids.filtered(lambda x: x.journal_id == j.journal_id): monto = j.amount if i.payment_type == 'outbound': monto = monto*-1 s.write( {'line_ids': [(0, 0, {'journal_entry_ids': [(6, 0, j.move_line_ids.filtered(lambda z:z.debit > 0).ids)], 'date': fields.Date.today(), 'name': i.name, 'partner_id':i.partner_id.id, 'amount':monto,'payment_id':j.id})]}) @api.model def create(self, vals): if vals.get('payment_type') == 'inbound': session = self.get_sesion() if session: vals['caja_session_id'] = session.id else: raise exceptions.ValidationError( 'No existe ninguna sesión de caja abierta para el usuario %s. Antes debe abrir una.' % (self.env.user.name)) return super(PaymentGroup, self).create(vals) def button_cancelar(self): for i in self: if i.payment_type == 'inbound': if i.caja_session_id and i.caja_session_id.state in ['proceso', 'cierre']: super(PaymentGroup, i).button_cancelar() for payment in i.payment_ids: for st in i.caja_session_id.statement_ids: lines = st.line_ids.filtered( lambda l: l.payment_id == payment) if lines: lines.unlink() if i.caja_session_id.state == 'cierre' and st.journal_id.type == 'bank': st.write( {'balance_end_real': st.balance_end_real-payment.amount}) return else: raise exceptions.ValidationError( 'Sólo se puede cancelar un recibo si su sesión de caja está abierta o en proceso de cierre.') else: super(PaymentGroup, i).button_cancelar()

[ "wacosta@INTN.GOV.PY" ]

wacosta@INTN.GOV.PY

0f7ba2626ddb918345b5b65b7b33821c1416ba0d

63daf225819636397fda6ef7e52783331c27f295

/cbb/taobao/top/api/rest/WangwangEserviceNewevalsGetRequest.py

6ec015f4437fc789e6fe969e968f93ce8d6d80c1

[]

no_license

cash2one/language-Python

e332ecfb4e9321a11407b29987ee64d44e552b15

8adb4f2fd2f023f9cc89b4edce1da5f71a3332ab

refs/heads/master

2021-06-16T15:15:08.346420

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2017-11-27T09:08:57

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''' Created by auto_sdk on 2014.03.24 ''' from top.api.base import RestApi class WangwangEserviceNewevalsGetRequest(RestApi): def __init__(self,domain='gw.api.taobao.com',port=80): RestApi.__init__(self,domain, port) self.btime = None self.etime = None self.query_ids = None def getapiname(self): return 'taobao.wangwang.eservice.newevals.get'

[ "a@ie9.org" ]

a@ie9.org

d948e6f2cea3277ef12bf61e893e539a196cdc75

ae326c4e6a2b2d5b67fa8d175249ef90f6a3021a

/leo/external/npyscreen/wgbutton.py

3c3864dccecbf6a1b774d0f84bc4e561b11aed17

[ "MIT" ]

permissive

frakel/leo-editor

f95e6c77d60485d80fddfbeaf35db961cf691177

b574118ee3b7ffe8344fa0d00dac603096117ac7

refs/heads/master

2020-03-28T10:40:24.621077

2018-10-23T14:39:31

148,132,817

0

MIT

2018-09-10T09:40:18

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#@+leo-ver=5-thin #@+node:ekr.20170428084207.524: * @file ../external/npyscreen/wgbutton.py #!/usr/bin/python #@+others #@+node:ekr.20170428084207.525: ** Declarations import curses import locale # import weakref from . import npysGlobalOptions as GlobalOptions # from . import wgwidget as widget from . import wgcheckbox as checkbox #@+node:ekr.20170428084207.526: ** class MiniButton class MiniButton(checkbox._ToggleControl): DEFAULT_CURSOR_COLOR = None #@+others #@+node:ekr.20170428084207.527: *3* __init__ def __init__(self, screen, name='Button', cursor_color=None, *args, **keywords): self.encoding = 'utf-8' self.cursor_color = cursor_color or self.__class__.DEFAULT_CURSOR_COLOR if GlobalOptions.ASCII_ONLY or locale.getpreferredencoding() == 'US-ASCII': self._force_ascii = True else: self._force_ascii = False self.name = self.safe_string(name) self.label_width = len(name) + 2 super(MiniButton, self).__init__(screen, *args, **keywords) if 'color' in keywords: self.color = keywords['color'] else: self.color = 'CONTROL' #@+node:ekr.20170428084207.528: *3* calculate_area_needed def calculate_area_needed(self): return 1, self.label_width+2 #@+node:ekr.20170428084207.529: *3* MiniButton.update def update(self, clear=True): if clear: self.clear() if self.hidden: self.clear() return False if self.value and self.do_colors(): self.parent.curses_pad.addstr(self.rely, self.relx, '>', self.parent.theme_manager.findPair(self)) self.parent.curses_pad.addstr(self.rely, self.relx+self.width-1, '<', self.parent.theme_manager.findPair(self)) elif self.value: self.parent.curses_pad.addstr(self.rely, self.relx, '>') self.parent.curses_pad.addstr(self.rely, self.relx+self.width-1, '<') if self.editing: button_state = curses.A_STANDOUT else: button_state = curses.A_NORMAL button_name = self.name if isinstance(button_name, bytes): button_name = button_name.decode(self.encoding, 'replace') button_name = button_name.center(self.label_width) if self.do_colors(): if self.cursor_color: if self.editing: button_attributes = self.parent.theme_manager.findPair(self, self.cursor_color) else: button_attributes = self.parent.theme_manager.findPair(self, self.color) else: button_attributes = self.parent.theme_manager.findPair(self, self.color) | button_state else: button_attributes = button_state self.add_line(self.rely, self.relx+1, button_name, self.make_attributes_list(button_name, button_attributes), self.label_width ) #@-others #@+node:ekr.20170428084207.530: ** class MiniButtonPress class MiniButtonPress(MiniButton): # NB. The when_pressed_function functionality is potentially dangerous. It can set up # a circular reference that the garbage collector will never free. # If this is a risk for your program, it is best to subclass this object and # override when_pressed_function instead. Otherwise your program will leak memory. #@+others #@+node:ekr.20170428084207.531: *3* __init__ def __init__(self, screen, when_pressed_function=None, *args, **keywords): super(MiniButtonPress, self).__init__(screen, *args, **keywords) self.when_pressed_function = when_pressed_function #@+node:ekr.20170428084207.532: *3* set_up_handlers def set_up_handlers(self): '''MiniButtonPress.set_up_handlers.''' super(MiniButtonPress, self).set_up_handlers() self.handlers.update({ curses.ascii.NL: self.h_toggle, curses.ascii.CR: self.h_toggle, }) #@+node:ekr.20170428084207.533: *3* destroy def destroy(self): self.when_pressed_function = None del self.when_pressed_function #@+node:ekr.20170428084207.534: *3* h_toggle def h_toggle(self, ch): self.value = True self.display() if self.when_pressed_function: self.when_pressed_function() else: self.whenPressed() self.value = False self.display() #@+node:ekr.20170428084207.535: *3* whenPressed def whenPressed(self): pass #@-others #@-others #@@language python #@@tabwidth -4 #@-leo

[ "edreamleo@gmail.com" ]

edreamleo@gmail.com

cbec1b9899516b898ddf2b75425a155a5e2e9388

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/src/dns/scripts/del_virtual_dns.py

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tungstenfabric/tf-controller

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2023-08-28T02:56:27.329584

2023-08-20T12:15:38

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2023-07-23T01:38:17

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#!/usr/bin/python # #Copyright (c) 2013 Juniper Networks, Inc. All rights reserved. # from __future__ import print_function from future import standard_library standard_library.install_aliases() from builtins import object import sys import argparse from six.moves import configparser from provision_dns import DnsProvisioner from requests.exceptions import ConnectionError class DelVirtualDns(object): def __init__(self, args_str = None): self._args = None if not args_str: args_str = ' '.join(sys.argv[1:]) self._parse_args(args_str) try: dp_obj = DnsProvisioner(self._args.admin_user, self._args.admin_password, self._args.admin_tenant_name, self._args.api_server_ip, self._args.api_server_port) except ConnectionError: print('Connection to API server failed ') return dp_obj.del_virtual_dns(self._args.fq_name) #end __init__ def _parse_args(self, args_str): ''' Eg. python del_virtual_dns.py --fq_name default-domain:vdns1 ''' # Source any specified config/ini file # Turn off help, so we print all options in response to -h conf_parser = argparse.ArgumentParser(add_help = False) args, remaining_argv = conf_parser.parse_known_args(args_str.split()) defaults = { 'api_server_ip' : '127.0.0.1', 'api_server_port' : '8082', 'admin_user': None, 'admin_password': None, 'admin_tenant_name': None } # Don't surpress add_help here so it will handle -h parser = argparse.ArgumentParser( # Inherit options from config_parser parents=[conf_parser], # print script description with -h/--help description=__doc__, # Don't mess with format of description formatter_class=argparse.RawDescriptionHelpFormatter, ) parser.set_defaults(**defaults) parser.add_argument("--fq_name", help = "Fully qualified Virtual DNS Name") parser.add_argument("--api_server_ip", help = "IP address of api server") parser.add_argument("--api_server_port", help = "Port of api server") parser.add_argument("--admin_user", help = "Name of keystone admin user") parser.add_argument("--admin_password", help = "Password of keystone admin user") parser.add_argument("--admin_tenant_name", help = "Tenamt name for keystone admin user") self._args = parser.parse_args(remaining_argv) #end _parse_args # end class DelVirtualDns def main(args_str = None): DelVirtualDns(args_str) #end main if __name__ == "__main__": main()

[ "andrey-mp@yandex.ru" ]

andrey-mp@yandex.ru

51f512a009d612d8737cedcd92ab98789dd019e2

13f5984be7be77852e4de29ab98d5494a7fc6767

/LeetCode/029两数相除.py

1156923f619001bb4fb9a6633818ed77385df8ac

[]

no_license

YuanXianguo/Python-Interview-Master

4252514763fc3f563d9b94e751aa873de1719f91

2f73786e8c51dbd248341559de171e18f67f9bf2

refs/heads/master

2020-11-26T18:14:50.190812

2019-12-20T02:18:03

229,169,825

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""" 给定两个整数，被除数 dividend 和除数 divisor。将两数相除，要求不使用乘法、除法和 mod 运算符。返回被除数 dividend 除以除数 divisor 得到的商。 """ def divide(dividend, divisor): if dividend > 0 and divisor > 0 or dividend < 0 and divisor < 0: sign = 1 # 判断是否异号 else: sign = -1 m = 1 # 记录当前除数是原除数的倍数 cnt = 0 # 记数 dd, dr = abs(dividend), abs(divisor) while dd >= abs(divisor): if dd < dr: # 如果当前除数太大，就重置除数 dr = abs(divisor) m = 1 dd -= dr cnt += m dr <<= 1 # 除数扩大为2倍 m <<= 1 # 更新倍数 if sign == - 1: # 如果异号 cnt = -cnt if cnt < -pow(2, 31) or cnt > pow(2, 31) - 1: cnt = pow(2, 31) - 1 return cnt class Solution: def divide(self, dividend: int, divisor: int): n = 1 cnt = 0 tmp_ds = abs(divisor) tmp_dd = abs(dividend) while tmp_dd >= abs(divisor): tmp_dd -= tmp_ds cnt += n tmp_ds += tmp_ds # 更新除数和倍数 n += n if tmp_dd < tmp_ds: # 重置除数和倍数 tmp_ds = abs(divisor) n = 1 if (dividend > 0 and divisor > 0) or (dividend < 0 and divisor < 0): sign = 1 else: sign = -1 if sign < 0: cnt = - cnt if not - pow(2, 31) <= cnt <= pow(2, 31) - 1: cnt = pow(2, 31) - 1 return cnt if __name__ == '__main__': print(divide(10, 3)) print(divide(10, 2)) print(divide(-1, -1)) print(divide(-1, 1)) print(divide(10, -2)) print(divide(10, -3))

[ "736913978@qq.com" ]

736913978@qq.com

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c7a6f8ed434c86b4cdae9c6144b9dd557e594f78

/ECE364/.PyCharm40/system/python_stubs/348993582/gtk/gdk/EventMask.py

d9b44af804a2c42a9f51aefc54aa18bc8e118408

[]

no_license

ArbalestV/Purdue-Coursework

75d979bbe72106975812b1d46b7d854e16e8e15e

ee7f86145edb41c17aefcd442fa42353a9e1b5d1

refs/heads/master

2020-08-29T05:27:52.342264

2018-04-03T17:59:01

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UTF-8

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# encoding: utf-8 # module gtk.gdk # from /usr/lib64/python2.6/site-packages/gtk-2.0/bonobo/ui.so # by generator 1.136 # no doc # imports from exceptions import Warning import gio as __gio import gobject as __gobject import gobject._gobject as __gobject__gobject import pango as __pango import pangocairo as __pangocairo class EventMask(__gobject.GFlags): # no doc def __init__(self, *args, **kwargs): # real signature unknown pass __weakref__ = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """list of weak references to the object (if defined)""" __dict__ = None # (!) real value is '' __flags_values__ = { 2: 2, 4: 4, 8: 8, 16: 16, 32: 32, 64: 64, 128: 128, 256: 256, 512: 512, 1024: 1024, 2048: 2048, 4096: 4096, 8192: 8192, 16384: 16384, 32768: 32768, 65536: 65536, 131072: 131072, 262144: 262144, 524288: 524288, 1048576: 1048576, 2097152: 2097152, 4194302: 4194302, } __gtype__ = None # (!) real value is ''

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#!/usr/bin/python # -*- coding: utf-8 -*- # Copyright (c) 2021, Cisco Systems # GNU General Public License v3.0+ (see LICENSE or https://www.gnu.org/licenses/gpl-3.0.txt) DOCUMENTATION = r""" --- module: telemetry_info short_description: Information module for Telemetry Info description: - Get all Telemetry Info. - Get Telemetry Info by id. version_added: '1.0.0' author: Rafael Campos (@racampos) options: id: description: - Id path parameter. type: str page: description: - Page query parameter. Page number. type: int size: description: - Size query parameter. Number of objects returned per page. type: int filter: description: - > Filter query parameter. **Simple filtering** should be available through the filter query string parameter. The structure of a filter is a triplet of field operator and value separated with dots. More than one filter can be sent. The logical operator common to ALL filter criteria will be by default AND, and can be changed by using the "filterType=or" query string parameter. Each resource Data model description should specify if an attribute is a filtered field. Operator | Description ------------|----------------- EQ | Equals NEQ | Not Equals GT | Greater Than LT | Less Then STARTSW | Starts With NSTARTSW | Not Starts With ENDSW | Ends With NENDSW | Not Ends With CONTAINS | Contains NCONTAINS | Not Contains . type: list filterType: description: - > FilterType query parameter. The logical operator common to ALL filter criteria will be by default AND, and can be changed by using the parameter. type: str requirements: - ciscoisesdk seealso: # Reference by Internet resource - name: Telemetry Info reference description: Complete reference of the Telemetry Info object model. link: https://ciscoisesdk.readthedocs.io/en/latest/api/api.html#v3-0-0-summary """ EXAMPLES = r""" - name: Get all Telemetry Info cisco.ise.telemetry_info: ise_hostname: "{{ise_hostname}}" ise_username: "{{ise_username}}" ise_password: "{{ise_password}}" ise_verify: "{{ise_verify}}" page: 1 size: 20 filter: [] filterType: AND register: result - name: Get Telemetry Info by id cisco.ise.telemetry_info: ise_hostname: "{{ise_hostname}}" ise_username: "{{ise_username}}" ise_password: "{{ise_password}}" ise_verify: "{{ise_verify}}" id: string register: result """ RETURN = r""" ise_response: description: A dictionary or list with the response returned by the Cisco ISE Python SDK returned: always type: dict sample: > { "id": "string", "status": "string", "deploymentId": "string", "udiSN": "string", "link": { "rel": "string", "href": "string", "type": "string" } } """

[ "wastorga@altus.co.cr" ]

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"""empty message Revision ID: bf3e0c0e76b8 Revises: None Create Date: 2016-05-07 13:52:41.241555 """ # revision identifiers, used by Alembic. revision = 'bf3e0c0e76b8' down_revision = None from alembic import op import sqlalchemy as sa from sqlalchemy.dialects import postgresql def upgrade(): ### commands auto generated by Alembic - please adjust! ### op.create_table('results', sa.Column('id', sa.Integer(), nullable=False), sa.Column('url', sa.String(), nullable=True), sa.Column('result_all', postgresql.JSON(), nullable=True), sa.Column('result_no_stop_words', postgresql.JSON(), nullable=True), sa.PrimaryKeyConstraint('id') ) ### end Alembic commands ### def downgrade(): ### commands auto generated by Alembic - please adjust! ### op.drop_table('results') ### end Alembic commands ###

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davejonesbkk@gmail.com

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greenteamer/ceiling-django

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# -*- coding: utf-8 -*- # Generated by Django 1.9.4 on 2016-03-07 21:40 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0007_auto_20160307_2129'), ] operations = [ migrations.CreateModel( name='Partners', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=50, verbose_name='\u041d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438')), ('logo', models.ImageField(blank=True, null=True, upload_to='partners', verbose_name='\u043b\u043e\u0433\u043e\u0442\u0438\u043f \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438')), ], options={ 'verbose_name': '\u041f\u0430\u0440\u0442\u043d\u0435\u0440', 'verbose_name_plural': '\u041f\u0430\u0440\u0442\u043d\u0435\u0442\u044b', }, ), migrations.AlterField( model_name='review', name='photo', field=models.ImageField(blank=True, null=True, upload_to='reviews', verbose_name='\u0424\u043e\u0442\u043e \u043a\u043b\u0438\u0435\u043d\u0442\u0430'), ), ]

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greenteamer@bk.ru

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/pyBlackScholesAnalytics/example_options_IV.py

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gabrielepompa88/IT-For-Business-And-Finance-2019-20

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""" Created by: Gabriele Pompa (gabriele.pompa@gmail.com) File: example_options_IV.py Created on Tue Jul 14 2020 - Version: 1.0 Description: This script shows usage of PlainVanillaOption and DigitalOption classes to compute of Black-Scholes implied volatility surfaces for plain-vanilla and digital option contracts. """ import numpy as np import pandas as pd import warnings from market.market import MarketEnvironment from options.options import PlainVanillaOption, DigitalOption warnings.filterwarnings("ignore") def option_factory(mkt_env, plain_or_digital, option_type): option_dispatcher = { "plain_vanilla": {"call": PlainVanillaOption(mkt_env), "put": PlainVanillaOption(mkt_env, option_type="put") }, "digital": {"call": DigitalOption(mkt_env), "put": DigitalOption(mkt_env, option_type="put") } } return option_dispatcher[plain_or_digital][option_type] def main(): # # Black-Scholes implied volatility calculation with user-defined 'sigma' # parameter surface, used to evaluate the quality of the implied volatility # calculation. # # output format: pd.DataFrame np_output = False # default market environment market_env = MarketEnvironment() print(market_env) # define option style and type opt_style = "plain_vanilla" # "digital" opt_type = "call" # "call" # "put" option = option_factory(market_env, opt_style, opt_type) print(option) # K K_vector = [50, 75, 100, 125, 150] # tau: a date-range of 5 valuation dates between t and T-10d n = 6 valuation_date = option.get_t() expiration_date = option.get_T() t_vector = pd.date_range(start=valuation_date, end=expiration_date-pd.Timedelta(days=25), periods=n) # sigma (qualitatively reproducing the smile) k, tau = np.meshgrid(K_vector, option.time_to_maturity(t=t_vector)) sigma_grid_K = 0.01 + ((k - 100)**2)/(100*k)/tau # pricing parameters param_dict = {"S": 100, "K": K_vector, "t": t_vector, "sigma": sigma_grid_K, "r": 0.01, "np_output": np_output} print("Parameters:") print("S: {}".format(param_dict["S"])) print("K: {}".format(param_dict["K"])) print("t: {}".format(param_dict["t"])) print("sigma: \n{}".format(param_dict["sigma"])) print("r: {}\n".format(param_dict["r"])) # expected implied volatility: is the 'sigma' parameter with which the # target price has been generated expected_IV = pd.DataFrame(data=param_dict["sigma"], columns=K_vector, index=t_vector) expected_IV.rename_axis('K', axis = 'columns', inplace=True) expected_IV.rename_axis('t', axis = 'rows', inplace=True) print("\nExpected Kxt Implied volatiltiy Surface: \n", expected_IV) # # Without target_price in input: param_dict['sigma'] parameter is # used to construct target price, used in minimization # print("\n--- WITHOUT target_price in input ---\n") # newton method param_dict["minimization_method"] = "Newton" newton_IV = option.implied_volatility(**param_dict) RMSE_newton = np.sqrt(np.nanmean((newton_IV - expected_IV)**2)) RMSRE_newton = np.sqrt(np.nanmean(((newton_IV - expected_IV)/expected_IV)**2)) print("\nImplied Volatility - Newton method - Metrics (NaN excluded): RMSE={:.1E}, RMSRE={:.1E}:\n"\ .format(RMSE_newton, RMSRE_newton), newton_IV) # Least=Squares method param_dict["minimization_method"] = "Least-Squares" ls_IV = option.implied_volatility(**param_dict) RMSE_ls = np.sqrt(np.nanmean((ls_IV - expected_IV)**2)) RMSRE_ls = np.sqrt(np.nanmean(((ls_IV - expected_IV)/expected_IV)**2)) print("\nImplied Volatility - Least-Squares constrained method - Metrics (NaN excluded): RMSE={:.1E}, RMSRE={:.1E}:\n"\ .format(RMSE_ls, RMSRE_ls), ls_IV) # # With target_price in input: target_price, but no param_dict['sigma'], # is used in minimization. # print("\n--- WITH target_price in input ---\n") # compute target price target_price = option.price(**param_dict) print("\nTarget Price in input: \n", target_price) # Add target_price to parameters dictionary: param_dict['target_price'] = target_price # newton method param_dict["minimization_method"] = "Newton" newton_IV = option.implied_volatility(**param_dict) RMSE_newton = np.sqrt(np.nanmean((newton_IV - expected_IV)**2)) RMSRE_newton = np.sqrt(np.nanmean(((newton_IV - expected_IV)/expected_IV)**2)) print("\nImplied Volatility - Newton method - Metrics (NaN excluded): RMSE={:.1E}, RMSRE={:.1E}:\n"\ .format(RMSE_newton, RMSRE_newton), newton_IV) # Least=Squares method param_dict["minimization_method"] = "Least-Squares" ls_IV = option.implied_volatility(**param_dict) RMSE_ls = np.sqrt(np.nanmean((ls_IV - expected_IV)**2)) RMSRE_ls = np.sqrt(np.nanmean(((ls_IV - expected_IV)/expected_IV)**2)) print("\nImplied Volatility - Least-Squares constrained method - Metrics (NaN excluded): RMSE={:.1E}, RMSRE={:.1E}:\n"\ .format(RMSE_ls, RMSRE_ls), ls_IV) #----------------------------- usage example ---------------------------------# if __name__ == "__main__": main()

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#!/usr/bin/python3 """ '11-model_state_insert' module, uses sqlalchemy to list state objects from a database """ if __name__ == '__main__': from model_state import Base, State from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker import sys engine = create_engine("mysql+mysqldb://{}:{}@localhost/{}" .format(sys.argv[1], sys.argv[2], sys.argv[3])) Base.metadata.create_all(bind=engine) Session = sessionmaker(bind=engine) session = Session() state = State(name="Louisiana") session.add(state) session.commit() print("{}".format(state.id)) session.close()

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/631/631.design-excel-sum-formula.233766026.Accepted.leetcode.py

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class Excel(object): def _indices(self, r, c): return [r - 1, ord(c) - ord("A")] def __init__(self, H, W): rows, cols = self._indices(H, W) self.excel = [[0 for _ in range(cols + 1)] for _ in range(rows + 1)] def set(self, r, c, v): r, c, = self._indices(r, c) self.excel[r][c] = v def get(self, r, c): r, c = self._indices(r, c) return self.get_i(r, c) def get_i(self, r, c): contents = self.excel[r][c] if isinstance(contents, int): return contents total = 0 for cells in contents: cell_range = cells.split(":") r1, c1 = self._indices(int(cell_range[0][1:]), cell_range[0][0]) if len(cell_range) == 1: r2, c2 = r1, c1 else: r2, c2 = self._indices(int(cell_range[1][1:]), cell_range[1][0]) for row in range(r1, r2 + 1): for col in range(c1, c2 + 1): total += self.get_i(row, col) return total def sum(self, r, c, strs): r, c = self._indices(r, c) self.excel[r][c] = strs return self.get_i(r, c)

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""" From Wikipedia: An isogram (also known as a "nonpattern word") is a logological term for a word or phrase without a repeating letter. It is also used by some people to mean a word or phrase in which each letter appears the same number of times, not necessarily just once. Conveniently, the word itself is an isogram in both senses of the word, making it autological. Write a Python program to check whether a given string is an "isogram" or not. Sample Output: False True True False """ def check_isogram(str1): return len(str1) == len(set(str1.lower())) print(check_isogram("w3resource")) print(check_isogram("w3r")) print(check_isogram("Python")) print(check_isogram("Java"))

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# Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None from collections import deque class Solution: def isCompleteTree(self, root: TreeNode) -> bool: levelOrder = [root] i = 0 while levelOrder[i]: levelOrder.append(levelOrder[i].left) levelOrder.append(levelOrder[i].right) i += 1 return not any(levelOrder[i:])

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# -*- coding: utf-8 -*- from bisect import bisect_left, bisect_right from typing import List def bisect_lt(sorted_array: List[int], value: int): """Find the largest element < x and its index, or None if it doesn't exist.""" if sorted_array[0] < value: index: int = bisect_left(sorted_array, value) - 1 return index, sorted_array[index] return None, None def bisect_gt(sorted_array: List[int], value: int): """Find the smallest element > x and its index, or None if it doesn't exist.""" if sorted_array[-1] > value: index: int = bisect_right(sorted_array, value) return index, sorted_array[index] return None, None def main(): import sys input = sys.stdin.readline n = int(input()) a = sorted(list(map(int, input().split()))) b = sorted(list(map(int, input().split()))) c = sorted(list(map(int, input().split()))) # bを固定して、aとcを二分探索 ans = 0 for bi in b: i, _ = bisect_lt(a, bi) j, _ = bisect_gt(c, bi) if i is None or j is None: continue ans += (i + 1) * (n - j) print(ans) if __name__ == "__main__": main()

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#!/usr/bin/python -B soFormulae = { # TODO 'GenSamplers' : { 'entries' : [ 'glGenSamplers' ], 'impl' : [ '_context->so->GenSamplers( ${arg0plus} );' ], }, 'DeleteSamplers' : { 'entries' : [ 'glDeleteSamplers' ], 'impl' : [ '_context->so->DeleteSamplers( ${arg0plus} );' ], }, 'IsSampler' : { 'entries' : [ 'glIsSampler' ], 'impl' : [ 'return _context->so->IsSampler( ${arg0} );' ], }, 'BindSampler' : { 'entries' : [ 'glBindSampler' ], 'impl' : [ '_context->so->BindSampler( ${arg0plus} );' ], }, 'GetSamplerParameterv' : { 'entries' : [ 'glGetSamplerParameter(I|)(u|)(f|i)v' ], 'impl' : [ 'RegalAssert(_context);', 'if ( !_context->so->GetSamplerParameterv( *_context, ${arg0plus} )) {', ' _context->dispatcher.emulation.glGetSamplerParameter${m1}${m2}${m3}v( ${arg0plus} );', '}', ] }, 'SamplerParameter' : { 'entries' : [ 'glSamplerParameter(I|)(u|)(f|i)(v|)' ], 'impl' : [ 'RegalAssert(_context);', 'if ( !_context->so->SamplerParameter${m4}( *_context, ${arg0plus} )) {', ' _context->dispatcher.emulation.glSamplerParameter${m1}${m2}${m3}${m4}( ${arg0plus} );', '}', ] }, 'ActiveTexture' : { 'entries' : [ 'glActiveTexture(ARB|)' ], 'impl' : [ 'RegalAssert(_context);', 'if ( !_context->so->ActiveTexture( *_context, ${arg0plus} ) ) {', ' _context->dispatcher.emulation.glActiveTexture( ${arg0plus} );', '}', ] }, 'GenTextures' : { 'entries' : [ 'glGenTextures' ], 'impl' : [ 'RegalAssert(_context);', '_context->so->GenTextures( *_context, ${arg0plus} );' ], }, 'DeleteTextures' : { 'entries' : [ 'glDeleteTextures' ], 'prefix' : [ 'RegalAssert(_context);', '_context->so->DeleteTextures( *_context, ${arg0plus} );' ], }, 'BindTexture' : { 'entries' : [ 'glBindTexture' ], 'impl' : [ 'RegalAssert(_context);', 'if ( !_context->so->BindTexture( *_context, ${arg0plus} ) ) {', ' _context->dispatcher.emulation.glBindTexture( ${arg0plus} );', '}', ] }, 'TexParameter' : { 'entries' : [ 'glTexParameter(I|)(u|)(f|i)(v|)(EXT|)' ], 'impl' : [ 'RegalAssert(_context);', 'if ( !_context->so->TexParameter${m4}( *_context, ${arg0plus} ) ) {', ' _context->dispatcher.emulation.glTexParameter${m1}${m2}${m3}${m4}( ${arg0plus} );', '}', ] }, 'GetTexParameterv' : { 'entries' : [ 'glGetTexParameter(I|)(u|)(f|i)v' ], 'impl' : [ 'RegalAssert(_context);', 'if ( !_context->so->GetTexParameterv( *_context, ${arg0plus} ) ) {', ' _context->dispatcher.emulation.glGetTexParameter${m1}${m2}${m3}v( ${arg0plus} );', '}', ] }, 'Get' : { 'entries' : [ 'glGet(Double|Float|Integer|Integer64)v' ], 'impl' : [ 'if ( !_context->so->Get( ${arg0plus} ) ) {', ' _context->dispatcher.emulation.glGet${m1}v( ${arg0plus} );', '}', ] }, 'PreDraw' : { 'entries' : [ 'gl(Multi|)Draw(Range|)(Arrays|Element|Elements)(Instanced|Indirect|BaseVertex|InstancedBaseVertex|Array|)(ARB|EXT|AMD|ATI|APPLE|)' ], 'prefix' : [ 'RegalAssert(_context);', '_context->so->PreDraw( *_context );', ], }, }

[ "nigels@users.sourceforge.net" ]

nigels@users.sourceforge.net

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/code/SWEA/1859_백만장자_프로젝트.py

757a273af12d8f69c335f163cf7e6678348557f7

[]

no_license

kyeah01/Problem_Solving

d70049efb72d09c4ea07a8dba9144d482857b36a

efec0486ec07843e085abf4e66cdf694fdde104b

refs/heads/master

2021-07-03T14:28:56.001123

2020-09-23T17:37:42

176,175,363

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T = int(input()) for tc in range(1, T+1): N = int(input()) days = list(map(int, input().split())) max_index = N-(days[::-1].index(max(days))+1) ans = 0 # max_index까지 값을 구해야함 for i in range(max_index): ans += max(days) - days[i] if ans < 0: ans = 0

[ "kyeah01@gmail.com" ]

kyeah01@gmail.com

570430474d734ea45b7b4bf3c1ec9a6489e26a5b

a05716cdf916edb42efdcec4fd10c65bdd043f3d

/elasticsearch/_async/client/monitoring.py

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permissive

mesejo/elasticsearch-py

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041a433de263482e306b3855ab67b93c03978966

refs/heads/master

2022-11-11T11:57:44.792382

2020-06-23T18:36:32

274,199,907

0

Apache-2.0

2020-06-22T17:20:49

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# Licensed to Elasticsearch B.V under one or more agreements. # Elasticsearch B.V licenses this file to you under the Apache 2.0 License. # See the LICENSE file in the project root for more information from .utils import NamespacedClient, query_params, _make_path, SKIP_IN_PATH, _bulk_body class MonitoringClient(NamespacedClient): @query_params("interval", "system_api_version", "system_id") async def bulk(self, body, doc_type=None, params=None, headers=None): """ Used by the monitoring features to send monitoring data. `<https://www.elastic.co/guide/en/elasticsearch/reference/master/monitor-elasticsearch-cluster.html>`_ :arg body: The operation definition and data (action-data pairs), separated by newlines :arg doc_type: Default document type for items which don't provide one :arg interval: Collection interval (e.g., '10s' or '10000ms') of the payload :arg system_api_version: API Version of the monitored system :arg system_id: Identifier of the monitored system """ if body in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument 'body'.") body = _bulk_body(self.transport.serializer, body) return await self.transport.perform_request( "POST", _make_path("_monitoring", doc_type, "bulk"), params=params, headers=headers, body=body, )

[ "sethmichaellarson@gmail.com" ]

sethmichaellarson@gmail.com

4f6e98d736958850f3715a80606ca28c7eabddf4

f3b233e5053e28fa95c549017bd75a30456eb50c

/tyk2_input/43/43-31_wat_20Abox/set_1ns_equi_m.py

eeadbfffcabc77af30b8d082f6dcced30aacc839

[]

no_license

AnguseZhang/Input_TI

ddf2ed40ff1c0aa24eea3275b83d4d405b50b820

50ada0833890be9e261c967d00948f998313cb60

refs/heads/master

2021-05-25T15:02:38.858785

2020-02-18T16:57:04

null

0

null

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py

import os dir = '/mnt/scratch/songlin3/run/tyk2/L43/wat_20Abox/ti_one-step/43_31/' filesdir = dir + 'files/' temp_equiin = filesdir + 'temp_equi_m.in' temp_pbs = filesdir + 'temp_1ns_equi_m.pbs' lambd = [ 0.00922, 0.04794, 0.11505, 0.20634, 0.31608, 0.43738, 0.56262, 0.68392, 0.79366, 0.88495, 0.95206, 0.99078] for j in lambd: os.system("rm -r %6.5f" %(j)) os.system("mkdir %6.5f" %(j)) os.chdir("%6.5f" %(j)) os.system("rm *") workdir = dir + "%6.5f" %(j) + '/' #equiin eqin = workdir + "%6.5f_equi_m.in" %(j) os.system("cp %s %s" %(temp_equiin, eqin)) os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, eqin)) #PBS pbs = workdir + "%6.5f_1ns_equi.pbs" %(j) os.system("cp %s %s" %(temp_pbs, pbs)) os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, pbs)) #top os.system("cp ../43-31_merged.prmtop .") os.system("cp ../0.5_equi_0_3.rst .") #submit pbs os.system("qsub %s" %(pbs)) os.chdir(dir)

[ "songlin3@msu.edu" ]

songlin3@msu.edu

44ea4283cb706f70dc5b653285510c61915d9fcb

931a3304ea280d0a160acb87e770d353368d7d7d

/vendor/swagger_client/models/get_characters_character_id_mail_labels_ok.py

c6952fb75c441a4204eea1c255bb24fb9afe18e6

[]

no_license

LukeS5310/Broadsword

c44786054e1911a96b02bf46fe4bdd0f5ad02f19

3ba53d446b382c79253dd3f92c397cca17623155

refs/heads/master

2021-09-08T00:05:26.296092

2017-10-24T07:01:48

105,143,152

0

1

null

2017-11-03T14:29:38

2017-09-28T12:03:19

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# coding: utf-8 """ EVE Swagger Interface An OpenAPI for EVE Online OpenAPI spec version: 0.6.2 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from pprint import pformat from six import iteritems import re class GetCharactersCharacterIdMailLabelsOk(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ def __init__(self, labels=None, total_unread_count=None): """ GetCharactersCharacterIdMailLabelsOk - a model defined in Swagger :param dict swaggerTypes: The key is attribute name and the value is attribute type. :param dict attributeMap: The key is attribute name and the value is json key in definition. """ self.swagger_types = { 'labels': 'list[GetCharactersCharacterIdMailLabelsLabel]', 'total_unread_count': 'int' } self.attribute_map = { 'labels': 'labels', 'total_unread_count': 'total_unread_count' } self._labels = labels self._total_unread_count = total_unread_count @property def labels(self): """ Gets the labels of this GetCharactersCharacterIdMailLabelsOk. labels array :return: The labels of this GetCharactersCharacterIdMailLabelsOk. :rtype: list[GetCharactersCharacterIdMailLabelsLabel] """ return self._labels @labels.setter def labels(self, labels): """ Sets the labels of this GetCharactersCharacterIdMailLabelsOk. labels array :param labels: The labels of this GetCharactersCharacterIdMailLabelsOk. :type: list[GetCharactersCharacterIdMailLabelsLabel] """ self._labels = labels @property def total_unread_count(self): """ Gets the total_unread_count of this GetCharactersCharacterIdMailLabelsOk. total_unread_count integer :return: The total_unread_count of this GetCharactersCharacterIdMailLabelsOk. :rtype: int """ return self._total_unread_count @total_unread_count.setter def total_unread_count(self, total_unread_count): """ Sets the total_unread_count of this GetCharactersCharacterIdMailLabelsOk. total_unread_count integer :param total_unread_count: The total_unread_count of this GetCharactersCharacterIdMailLabelsOk. :type: int """ if total_unread_count is not None and total_unread_count < 0: raise ValueError("Invalid value for `total_unread_count`, must be a value greater than or equal to `0`") self._total_unread_count = total_unread_count def to_dict(self): """ Returns the model properties as a dict """ result = {} for attr, _ in iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """ Returns the string representation of the model """ return pformat(self.to_dict()) def __repr__(self): """ For `print` and `pprint` """ return self.to_str() def __eq__(self, other): """ Returns true if both objects are equal """ if not isinstance(other, GetCharactersCharacterIdMailLabelsOk): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """ Returns true if both objects are not equal """ return not self == other

[ "cyberlibertyx@gmail.com" ]

cyberlibertyx@gmail.com

ef3f05716502649f5e7d9ddc4e67ec5912e7270a

3851d5eafcc5fd240a06a7d95a925518412cafa0

/Django_Code/gs28/gs28/asgi.py

e1f1a15c27ff9ec6f8b42b0f1666ea6af01dd283

[]

no_license

Ikshansaleem/DjangoandRest

c0fafaecde13570ffd1d5f08019e04e1212cc2f3

0ccc620ca609b4ab99a9efa650b5893ba65de3c5

refs/heads/master

2023-01-31T04:37:57.746016

2020-12-10T06:27:24

320,180,735

0

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py

""" ASGI config for gs28 project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'gs28.settings') application = get_asgi_application()

[ "ikshan3108@gmail.com" ]

ikshan3108@gmail.com

56658b1b204f9655fbd8f8276cc516986cabee06

3e6dffad73b8d5024024b52b044c57a05e7e9655

/assets/2019-11-30/commondb_server.py

6b08cb78bef355870da187cefdbe820cdc3509bc

[ "MIT" ]

permissive

dhilipsiva/talks

07f33b162d8db6e20e3d5974576d71c273629187

05581b6b8fdd0598d4ffed4bf75204d718719ed9

refs/heads/master

2022-08-05T12:27:39.932612

2022-07-21T07:43:36

68,734,565

5

3

MIT

2021-07-30T11:24:12

2016-09-20T17:05:44

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UTF-8

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false

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py

from concurrent.futures import ThreadPoolExecutor import grpc from grpc_opentracing.grpcext import intercept_server from grpc_opentracing import open_tracing_server_interceptor from github_pb2 import Reply from utils import get_config, wait_for_termination from github_pb2_grpc import CommonDBServicer, add_CommonDBServicer_to_server class CommonDB(CommonDBServicer): def GetCommonData(self, request, context): print(request, context) return Reply(msg='commondb') def serve(): config = get_config('commondb-server') tracer = config.initialize_tracer() tracer_interceptor = open_tracing_server_interceptor( tracer, log_payloads=True) server = grpc.server(ThreadPoolExecutor(max_workers=10)) server = intercept_server(server, tracer_interceptor) add_CommonDBServicer_to_server(CommonDB(), server) server.add_insecure_port('[::]:50053') server.start() wait_for_termination() server.stop(0) tracer.close() if __name__ == '__main__': serve()

[ "dhilipsiva@pm.me" ]

dhilipsiva@pm.me

678a035115b9bab5ee37b4008fa8b1f71d3795dc

91b80ef798cbcdaab7f6ae0be994f5a3b12f1515

/198.py

155ed9d04a687a65692c489eeaa6c5e9ef28c808

[]

no_license

luckkyzhou/leetcode

13377565a1cc2c7861601ca5d55f6b83c63d490e

43bcf65d31f1b729ac8ca293635f46ffbe03c80b

refs/heads/master

2021-06-21T11:26:06.114096

2021-03-24T21:06:15

205,568,339

0

1

null

UTF-8

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false

271

py

from typing import List class Solution: def rob(self, nums: List[int]) -> int: prevMax = 0 curMax = 0 for num in nums: temp = curMax curMax = max(prevMax + num, curMax) prevMax = temp return curMax

[ "luckky_zhou@163.com" ]

luckky_zhou@163.com

10b521f82bc66ef9eca34617899ca120391d14d3

00820b522cc16bf996f1ef44a94a2f31989c4065

/abc/abc144/c.py

6932b9a69d517fcc35addc7fce7e72fb3b8071b0

[]

no_license

yamato1992/at_coder

6dffd425163a37a04e37507743a15f67b29239fc

6e0ec47267ed3cae62aebdd3d149f6191fdcae27

refs/heads/master

2020-08-31T11:17:03.500616

2020-06-12T15:45:58

218,678,043

0

null

UTF-8

Python

false

200

py

import math INF = 1e12 n = int(input()) cnt = INF m = math.sqrt(n) for i in range(1, math.ceil(m) + 1): if n % i == 0: j = n // i cnt = min(cnt, i + j - 2) else: continue print(cnt)

[ "yamato.mitsui.orleans@gmail.com" ]

yamato.mitsui.orleans@gmail.com

917ee557f9fe287f3752878d2f57f0990122fb69

ba0a2b0d2d1534443ea34320675aadfa378457b6

/OA/Akuna/QAkuna_Order Marketing.py

dbf97a7359f5393adf302b66732ef5fea9e7cc95

[]

no_license

Luolingwei/LeetCode

73abd58af116f3ec59fd6c76f662beb2a413586c

79d4824879d0faed117eee9d99615cd478432a14

refs/heads/master

2021-08-08T17:45:19.215454

2021-06-17T17:03:15

152,186,910

0

1

null

UTF-8

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false

5,571

py

import json import copy from collections import defaultdict # Implement the class below, keeping the constructor's signature unchanged; it should take no arguments. class Company: def __init__(self, name): self.name = name self.own = 0 self.sell = 0 self.buy = 0 def __eq__(self, other): return self.name == other.name def __hash__(self): return hash(self.name) def __str__(self): return self.name def __repr__(self): return self.name class MarkingPositionMonitor: def __init__(self): self.companies = {} self.orders = {} def on_event(self, message): event = json.loads(message) if event["type"] == "NEW": company_name = event["symbol"] order_id = event["order_id"] self.orders[order_id] = event # create company instance in dict if not exist. if company_name not in self.companies: self.companies[company_name] = Company(company_name) # immediately change the quantity. if event["side"] == "SELL": self.companies[company_name].sell += int(event["quantity"]) # new order to buy does not affect marking postion. if event["side"] == "BUY": self.companies[company_name].buy += int(event["quantity"]) return self.companies[company_name].own - self.companies[company_name].sell if event["type"] == "ORDER_REJECT": # read the history order message detail from order_id order_id = event["order_id"] order_detail = self.orders[order_id] company_name = order_detail["symbol"] if order_detail["type"] == "NEW": # immediately change sell quantity if order_detail["side"] == "SELL": self.companies[company_name].sell -= int(order_detail["quantity"]) if order_detail["side"] == "BUY": self.companies[company_name].buy -= int(order_detail["quantity"]) return self.companies[company_name].own - self.companies[company_name].sell if event["type"] == "ORDER_ACK": order_id = event["order_id"] order_detail = self.orders[order_id] company_name = order_detail["symbol"] # acknowledge order, no further action need to take though. if order_detail["side"] == "SELL": pass if order_detail["side"] == "BUY": pass return self.companies[company_name].own - self.companies[company_name].sell if event["type"] == "CANCEL": # try to cancel stated; no immediate effect. order_id = event["order_id"] order_detail = self.orders[order_id] company_name = order_detail["symbol"] if order_detail["type"] == "NEW": if order_detail["side"] == "SELL": pass if order_detail["side"] == "BUY": pass return self.companies[company_name].own - self.companies[company_name].sell if event["type"] == "CANCEL_ACK": # cancellation acknowledged; the order is no longer in the market; immediate effect. order_id = event["order_id"] order_detail = self.orders[order_id] company_name = order_detail["symbol"] if order_detail["type"] == "NEW": # immediately change the quantity; immediate effect. if order_detail["side"] == "SELL": self.companies[company_name].sell -= int(order_detail["quantity"]) if order_detail["side"] == "BUY": self.companies[company_name].buy -= int(order_detail["quantity"]) return self.companies[company_name].own - self.companies[company_name].sell if event["type"] == "CANCEL_REJECT": # reject cancellation; no effect. order_id = event["order_id"] order_detail = self.orders[order_id] company_name = order_detail["symbol"] if order_detail["type"] == "NEW": if order_detail["side"] == "SELL": pass if order_detail["side"] == "BUY": pass return self.companies[company_name].own - self.companies[company_name].sell if event["type"] == "FILL": order_id = event["order_id"] order_detail = self.orders[order_id] company_name = order_detail["symbol"] if order_detail["type"] == "NEW": if "filled_quantity" not in order_detail: order_detail["filled_quantity"] = 0 if order_detail["side"] == "SELL": order_detail["filled_quantity"] = event["filled_quantity"] if order_detail["side"] == "BUY": self.companies[company_name].own -= order_detail["filled_quantity"] # minus bought quantity from this order order_detail["filled_quantity"] = event["filled_quantity"] self.companies[company_name].own += order_detail["filled_quantity"] # add current bought quantity from this order return self.companies[company_name].own - self.companies[company_name].sell return 0 # return 0 for not handled operations def assertEqual(a, b): if a != b: print("False! ", a, b) else: print(a)

[ "564258080@qq.com" ]

564258080@qq.com

7c4624679b56a92e566f8525561a6d268d4791f7

e0b81ac782cb6b5b96f49914ac5707971d31d5b4

/week14/todo_list/main/urls.py

0f9b60b7a5903820284a2eb17db67cb3f931aec3

[]

no_license

balnur00/djangoSpring2020

33ba23472715aa143e2a9b1ff785730c2778a1fd

ca3500875a339601a44dc105bc946d72e4d143eb

refs/heads/master

2021-09-29T05:44:34.941331

2020-04-21T10:26:29

237,578,070

0

null

2021-09-22T19:45:38

2020-02-01T07:19:09

Python

UTF-8

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false

692

py

from rest_framework.routers import DefaultRouter from django.urls import path from main import viewsets from .views import BusTaskListApiView, BusTaskListDetailApiView, BusTaskApiView, BusTaskDetailApiView, ReceiverApiView urlpatterns = [ path('business/', BusTaskListApiView.as_view()), path('business/<int:pk>/', BusTaskListDetailApiView.as_view()), path('business/<int:pk>/tasks/', BusTaskApiView.as_view()), path('business/<int:pk2>/tasks/<int:pk>/', BusTaskDetailApiView.as_view()), path('receiver/', ReceiverApiView.as_view()), ] router = DefaultRouter() router.register(r'lists', viewsets.PersonalTaskListViewSet, basename='lists') urlpatterns += router.urls

[ "balnur00@mail.ru" ]

balnur00@mail.ru

76c2be24cd3471acd4c320fa2ff5671d516aa254

49ba5356bdc5df7dd9803b56fe507c5164a90716

/unique-number-of-occurrences/solution.py

8947b64feeaba863e1fa0f2965c3530126347f56

[]

no_license

uxlsl/leetcode_practice

d80ad481c9d8ee71cce0f3c66e98446ced149635

d8ed762d1005975f0de4f07760c9671195621c88

refs/heads/master

2021-04-25T18:12:28.136504

2020-03-11T07:54:15

121,472,384

0

null

UTF-8

Python

false

321

py

class Solution(object): def uniqueOccurrences(self, arr): """ :type arr: List[int] :rtype: bool """ m = {} for i in arr: if i in m: m[i] += 1 else: m[i] = 1 return len(m.values()) == len(set(m.values()))

[ "linsl2018@163.com" ]

linsl2018@163.com

c7473e0b86b77ea6781aa54b3063668f7f9695b3

846c067f53006d18caa467997b2143ae4df50519

/config/config.py

efbc2a7e2fd6de4de26c10e551251379b239c5c8

[]

no_license

radusuciu/dancealytics

7e791d9732c8a19f3b6df2f61bb2837360cf4c65

7246ab8a32f2b7cbf7a42e08605e58c4a61b8a38

refs/heads/master

2022-12-13T23:12:54.065740

2017-07-14T02:21:49

97,040,963

0

null

2022-12-08T00:01:27

2017-07-12T18:38:53

JavaScript

UTF-8

Python

false

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"""Main configuration file for project.""" import yaml import os import pathlib PROJECT_NAME = 'dancealytics' PROJECT_HOME_PATH = pathlib.Path(os.path.realpath(__file__)).parents[1] # debug is true by default DEBUG = bool(os.getenv('DEBUG', True)) _secrets_path = PROJECT_HOME_PATH.joinpath('config', 'secrets.yml') _override_path = PROJECT_HOME_PATH.joinpath('config', 'secrets.override.yml') # get our secrets with _secrets_path.open() as f: _SECRETS = yaml.load(f) # provide a mechanism for overriding some secrets if _override_path.is_file(): with _override_path.open() as f: _SECRETS.update(yaml.load(f)) class _Config(object): """Holds flask configuration to be consumed by Flask's from_object method.""" # SQLAlchemy SQLALCHEMY_DATABASE_URI = 'sqlite:////{}/dancealytics.db'.format(str(PROJECT_HOME_PATH)) SQLALCHEMY_TRACK_MODIFICATIONS = False # Flask DEBUG = False SECRET_KEY = _SECRETS['flask']['SECRET_KEY'] JSONIFY_PRETTYPRINT_REGULAR = False # External APIs SPOTIFY_CLIENT_ID = _SECRETS['spotify']['CLIENT_ID'] SPOTIFY_CLIENT_SECRET = _SECRETS['spotify']['CLIENT_SECRET'] SPOTIFY_REDIRECT_URI = _SECRETS['spotify']['REDIRECT_URI'] class _DevelopmentConfig(_Config): """Configuration for development environment.""" DEBUG = True config = _DevelopmentConfig if DEBUG else _Config

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radusuciu@gmail.com

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# -*- coding: utf-8 -*- from openerp import models, api, SUPERUSER_ID from .common import DoclineCommon, DoclineCommonSeq class SaleOrder(DoclineCommon, models.Model): _inherit = 'sale.order' @api.multi @api.constrains('order_line') def _check_docline_seq(self): for order in self: self._compute_docline_seq('sale_order_line', 'order_id', order.id) return True class SaleOrderLine(DoclineCommonSeq, models.Model): _inherit = 'sale.order.line' def init(self, cr): """ On module update, recompute all documents """ self.pool.get('sale.order').\ _recompute_all_docline_seq(cr, SUPERUSER_ID, 'sale_order', 'sale_order_line', 'order_id')

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from typing import Set, Dict, List import random import numpy as np import os import pickle from qanta.util.io import safe_open from qanta.config import conf from qanta import logging log = logging.get(__name__) def create_embeddings(vocab: Set[str], expand_glove=False, mask_zero=False): """ Create embeddings :param vocab: words in the vocabulary :param expand_glove: Whether or not to expand embeddings past pre-trained ones :param mask_zero: if True, then 0 is reserved as a sequence length mask (distinct from UNK) :return: """ embeddings = [] embedding_lookup = {} with open(conf['word_embeddings']) as f: i = 0 line_number = 0 n_bad_embeddings = 0 if mask_zero: emb = np.zeros((conf['embedding_dimension'])) embeddings.append(emb) embedding_lookup['MASK'] = i i += 1 for l in f: splits = l.split() word = splits[0] if word in vocab: try: emb = [float(n) for n in splits[1:]] except ValueError: n_bad_embeddings += 1 continue embeddings.append(emb) embedding_lookup[word] = i i += 1 line_number += 1 n_embeddings = i log.info('Loaded {} embeddings'.format(n_embeddings)) log.info('Encountered {} bad embeddings that were skipped'.format(n_bad_embeddings)) mean_embedding = np.array(embeddings).mean(axis=0) if expand_glove: embed_dim = len(embeddings[0]) words_not_in_glove = vocab - set(embedding_lookup.keys()) for w in words_not_in_glove: emb = np.random.rand(embed_dim) * .08 * 2 - .08 embeddings.append(emb) embedding_lookup[w] = i i += 1 log.info('Initialized an additional {} embeddings not in dataset'.format(i - n_embeddings)) log.info('Total number of embeddings: {}'.format(i)) embeddings = np.array(embeddings) embed_with_unk = np.vstack([embeddings, mean_embedding, mean_embedding]) embedding_lookup['UNK'] = i embedding_lookup['EOS'] = i + 1 return embed_with_unk, embedding_lookup def convert_text_to_embeddings_indices(words: List[str], embedding_lookup: Dict[str, int], random_unk_prob=0): """ Convert a list of word tokens to embedding indices :param words: :param embedding_lookup: :param mentions: :return: """ w_indices = [] for w in words: if w in embedding_lookup: w_indices.append(embedding_lookup[w]) if random_unk_prob > 0 and random.random() < random_unk_prob: w_indices.append(embedding_lookup['UNK']) else: w_indices.append(embedding_lookup['UNK']) return w_indices def tf_format(x_data: List[List[int]], max_len: int, zero_index: int): """ Pad with elements until it has max_len or shorten it until it has max_len. When padding insert the zero index so it doesn't contribute anything :param x_data: :param max_len: :param zero_index: :return: """ for i in range(len(x_data)): row = x_data[i] while len(row) < max_len: row.append(zero_index) x_data[i] = x_data[i][:max_len] return x_data def create_load_embeddings_function(we_tmp_target, we_target, logger): def load_embeddings(vocab=None, root_directory='', expand_glove=True, mask_zero=False): if os.path.exists(we_tmp_target): logger.info('Loading word embeddings from tmp cache') with safe_open(we_tmp_target, 'rb') as f: return pickle.load(f) elif os.path.exists(os.path.join(root_directory, we_target)): logger.info('Loading word embeddings from restored cache') with safe_open(os.path.join(root_directory, we_target), 'rb') as f: return pickle.load(f) else: if vocab is None: raise ValueError('To create fresh embeddings a vocab is needed') with safe_open(we_tmp_target, 'wb') as f: logger.info('Creating word embeddings and saving to cache') embed_and_lookup = create_embeddings(vocab, expand_glove=expand_glove, mask_zero=mask_zero) pickle.dump(embed_and_lookup, f) return embed_and_lookup return load_embeddings def compute_n_classes(labels: List[str]): return len(set(labels)) def compute_max_len(training_data): return max([len(' '.join(sentences).split()) for sentences in training_data[0]]) def compute_lengths(x_data): return np.array([max(1, len(x)) for x in x_data])

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# Generated by Django 3.2.4 on 2021-09-11 17:26 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Board', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('turn_number', models.IntegerField(blank=True, null=True)), ('board_string_representation', models.TextField(blank=True, null=True)), ('number_infected', models.IntegerField(blank=True, null=True)), ('number_healthy', models.IntegerField(blank=True, null=True)), ('number_immune', models.IntegerField(blank=True, null=True)), ], ), ]

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_base_ = [ '../_base_/models/vit-large-p16.py', '../_base_/datasets/imagenet_bs64_pil_resize_autoaug.py', '../_base_/schedules/imagenet_bs4096_AdamW.py', '../_base_/default_runtime.py' ] model = dict(backbone=dict(img_size=384)) img_norm_cfg = dict( mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', size=384, backend='pillow'), dict(type='RandomFlip', flip_prob=0.5, direction='horizontal'), dict(type='Normalize', **img_norm_cfg), dict(type='ImageToTensor', keys=['img']), dict(type='ToTensor', keys=['gt_label']), dict(type='Collect', keys=['img', 'gt_label']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict(type='Resize', size=(384, -1), backend='pillow'), dict(type='CenterCrop', crop_size=384), dict(type='Normalize', **img_norm_cfg), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ] data = dict( train=dict(pipeline=train_pipeline), val=dict(pipeline=test_pipeline), test=dict(pipeline=test_pipeline), )

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from rx import Observable, Observer from rx.subjects import Subject class PrintObserver(Observer): def on_next(self, value): print("Value :", value) def on_error(self, error): print("Error :", error) def on_completed(self): print("Completed") subject = Subject() subject.subscribe(PrintObserver()) for i in range(10): subject.on_next(i) subject.on_completed()

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# -*- coding: utf-8 -*- """ Copyright [2009-2021] EMBL-European Bioinformatics Institute Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import logging from rnacentral_pipeline.rnacentral.genes.data import State, LocationInfo, Context from .common_filter import filter LOGGER = logging.getLogger(__name__) class SingletonMethod: def handle_location(self, state: State, context: Context, location: LocationInfo): if filter(state, context, location): return LOGGER.debug("Adding singleton cluster of %s", location.id) state.add_singleton_cluster(location)

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bsweeney@ebi.ac.uk

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import os from breathecode.admissions.models import Cohort, CohortUser from ..decorator import command from ..utils import to_string """ Possible parameters for this command: - users: Array of user slack_ids mentioned inside the slack command text content - user_id: Slack user ID of the message author - team_id: Slack team_id where the message was posted - channel_id: Slack channel_id where the message was posted - text: Content of the slack channel """ @command(only='staff') def execute(channel_id, **context): response = { "blocks": [] } response["blocks"].append(render_cohort(channel_id=channel_id)) return response def render_cohort(channel_id): cohort = Cohort.objects.filter(slackchannel__slack_id=channel_id).first() if cohort is None: raise Exception(f"Cohort was not found as slack channel, make sure the channel name matches the cohort slug") teachers = CohortUser.objects.filter(cohort=cohort, role__in=['TEACHER','ASSISTANT']) return { "type": "section", "text": { "type": "mrkdwn", "text": f""" *Cohort name:* {cohort.name} *Start Date*: {cohort.kickoff_date} *End Date*: {cohort.ending_date} *Current day:*: {cohort.current_day} *Stage:* {cohort.stage} *Teachers:* {', '.join([cu.user.first_name + ' ' + cu.user.last_name for cu in teachers])} """ } }

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import torch from mmhuman3d.models.body_models.builder import build_body_model from mmhuman3d.models.body_models.utils import ( batch_transform_to_camera_frame, transform_to_camera_frame, ) from mmhuman3d.utils.transforms import ee_to_rotmat def test_transform_to_camera_frame(): # initialize body model body_model = build_body_model( dict( type='SMPL', keypoint_src='smpl_45', keypoint_dst='smpl_45', model_path='data/body_models/smpl', )) # generate random values random_transl = torch.rand((1, 3)) random_rotation = torch.rand((1, 3)) random_rotmat = ee_to_rotmat(random_rotation) random_extrinsic = torch.eye(4) random_extrinsic[:3, :3] = random_rotmat random_extrinsic[:3, 3] = random_transl random_global_orient = torch.rand((1, 3)) random_body_pose = torch.rand((1, 69)) random_transl = torch.rand((1, 3)) random_betas = torch.rand((1, 10)) random_output = body_model( global_orient=random_global_orient, body_pose=random_body_pose, transl=random_transl, betas=random_betas) random_joints = random_output['joints'] random_pelvis = random_joints[:, 0, :] # transform params transformed_global_orient, transformed_transl = \ transform_to_camera_frame( global_orient=random_global_orient.numpy().squeeze(), # (3, ) transl=random_transl.numpy().squeeze(), # (3, ) pelvis=random_pelvis.numpy().squeeze(), # (3, ) extrinsic=random_extrinsic.numpy().squeeze() # (4, 4) ) transformed_output = body_model( global_orient=torch.tensor(transformed_global_orient.reshape(1, 3)), transl=torch.tensor(transformed_transl.reshape(1, 3)), body_pose=random_body_pose, betas=random_betas) transformed_joints = transformed_output['joints'] # check validity random_joints = random_joints.squeeze() # (45, 3) random_joints = torch.cat([random_joints, torch.ones(45, 1)], dim=1) # (45, 4) test_joints = torch.einsum('ij,kj->ki', random_extrinsic, random_joints) # (45, 4) test_joints = test_joints[:, :3] # (45, 3) assert torch.allclose(transformed_joints, test_joints, atol=1e-6) def test_batch_transform_to_camera_frame(): # batch size N = 2 # initialize body model body_model = build_body_model( dict( type='SMPL', keypoint_src='smpl_45', keypoint_dst='smpl_45', model_path='data/body_models/smpl', )) # generate random values random_transl = torch.rand((1, 3)) random_rotation = torch.rand((1, 3)) random_rotmat = ee_to_rotmat(random_rotation) random_extrinsic = torch.eye(4) random_extrinsic[:3, :3] = random_rotmat random_extrinsic[:3, 3] = random_transl random_global_orient = torch.rand((N, 3)) random_body_pose = torch.rand((N, 69)) random_transl = torch.rand((N, 3)) random_betas = torch.rand((N, 10)) random_output = body_model( global_orient=random_global_orient, body_pose=random_body_pose, transl=random_transl, betas=random_betas) random_joints = random_output['joints'] random_pelvis = random_joints[:, 0, :] # transform params transformed_global_orient, transformed_transl = \ batch_transform_to_camera_frame( global_orient=random_global_orient.numpy(), # (N, 3) transl=random_transl.numpy(), # (N, 3) pelvis=random_pelvis.numpy(), # (N, 3) extrinsic=random_extrinsic.numpy() # (4, 4) ) transformed_output = body_model( global_orient=torch.tensor(transformed_global_orient.reshape(N, 3)), transl=torch.tensor(transformed_transl.reshape(N, 3)), body_pose=random_body_pose, betas=random_betas) transformed_joints = transformed_output['joints'] # check validity random_joints = random_joints # (N, 45, 3) random_joints = torch.cat( [random_joints, torch.ones(N, 45, 1)], dim=2) # (N, 45, 4) test_joints = torch.einsum('ij,bkj->bki', random_extrinsic, random_joints) # (N, 45, 4) test_joints = test_joints[:, :, :3] # (N, 45, 3) assert torch.allclose(transformed_joints, test_joints, atol=1e-6)

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# encoding: utf-8 # module gi._gi # from /usr/lib/python3/dist-packages/gi/_gi.cpython-37m-x86_64-linux-gnu.so # by generator 1.147 # no doc # imports from gobject import (GBoxed, GEnum, GFlags, GInterface, GParamSpec, GPointer, GType, Warning) import gi as __gi import gobject as __gobject class FunctionInfo(__gi.CallableInfo): # no doc def get_flags(self, *args, **kwargs): # real signature unknown pass def get_property(self, *args, **kwargs): # real signature unknown pass def get_symbol(self, *args, **kwargs): # real signature unknown pass def get_vfunc(self, *args, **kwargs): # real signature unknown pass def is_constructor(self, *args, **kwargs): # real signature unknown pass def is_method(self, *args, **kwargs): # real signature unknown pass def __init__(self, *args, **kwargs): # real signature unknown pass

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# -*- coding:utf-8 -*- from __future__ import absolute_import, division, print_function, unicode_literals from django.db.backends.sqlite3.base import DatabaseWrapper as OrigDatabaseWrapper from .operations import DatabaseOperations class DatabaseWrapper(OrigDatabaseWrapper): def __init__(self, *args, **kwargs): super(DatabaseWrapper, self).__init__(*args, **kwargs) self.ops = DatabaseOperations(self)

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import FWCore.ParameterSet.Config as cms process = cms.Process("RealDataMonitorXML") # minimum of logs #process.load("Configuration.TotemCommon.LoggerMax_cfi") process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(20000) ) # input of raw data process.source = cms.Source("RawDataSource", verbosity = cms.untracked.uint32(1), eventsToCheck = cms.uint32(6), skipCorruptedEvents = cms.bool(False), performChecks = cms.bool(False), fileNames = cms.vstring('TotemRawData/RawToDigi/python/run_151.vmea') ) process.o1 = cms.OutputModule("PoolOutputModule", fileName = cms.untracked.string('file:TotemRawData/RawToDigi/python/run_151_BeforeHit20000.root'), outputCommands = cms.untracked.vstring('drop TotemRawEvent_*_*_*','keep T2DetIdT2DigiVfatTotemDigiCollection_*_*_*','keep *_*_*T2VfatInformation*_*','keep T1T2Tracks_*_*_*','keep T2Hits_*_*_*','keep T2Roads_*_*_*','keep T2DetIdT2Clustersstdmap_*_*_*','keep T2DetIdT2StripDigiTotemDigiCollection_*_*_*','keep T2DetIdT2PadDigiTotemDigiCollection_*_*_*') ) #process.dump = cms.EDAnalyzer("EventContentAnalyzer") #T2GeoMapIP5_4quarter_cmssw.xml #T2MapIP5_D3_D2_NewFormatBIS.xml #Load T2 vfat mapping process.DAQInformationSourceXML = cms.ESSource("DAQInformationSourceXML", xmlFileName = cms.string('TotemRawData/RawToDigi/python/T2GeoMapIP5_4quarter_vmea_Full.xml') # xmlFileName = cms.string('TotemRawData/RawToDigi/python/T2GeoMapIP5_4quarter_vmea_cmssw.xml') ) # outputCommands = cms.untracked.vstring('drop TotemRawEvent_*_*_*') # Fill T2 digi and vfat object process.RawToDigi = cms.EDProducer("T2XMLDataDigiProducer", verbosity = cms.untracked.uint32(10) ) #process.T2Hits.Cl1MaxPad =20 #process.T2Hits.Cl1MaxStrip =20 #process.T2Hits.IncludeClass0Hits = True process.load("RecoTotemT1T2.T2MakeCluster.T2MakeCluster_cfi") #process.p = cms.Path(process.RawToDigi) process.p = cms.Path(process.RawToDigi*process.T2MCl) #*process.dqm1 *process.T2Hits*process.T2RoadColl*process.T2TrackColl2 process.outpath = cms.EndPath(process.o1)

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eliza@cern.ch

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# Copyright (c) OpenMMLab. All rights reserved. # flake8: noqa # from .arraymisc import * from .fileio import * from .image import * from .utils import * from .version import * # from .video import * # from .visualization import * # The following modules are not imported to this level, so dbnet_cv may be used # without PyTorch. # - runner # - parallel # - op # - device

[ "yongle.wu@iluvatar.com" ]

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# coding: utf-8 """ ORY Keto A cloud native access control server providing best-practice patterns (RBAC, ABAC, ACL, AWS IAM Policies, Kubernetes Roles, ...) via REST APIs. # noqa: E501 The version of the OpenAPI document: v0.0.0-alpha.37 Contact: hi@ory.sh Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six from ory_keto_client.configuration import Configuration class OryAccessControlPolicyRoles(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ openapi_types = { 'body': 'list[OryAccessControlPolicyRole]' } attribute_map = { 'body': 'Body' } def __init__(self, body=None, local_vars_configuration=None): # noqa: E501 """OryAccessControlPolicyRoles - a model defined in OpenAPI""" # noqa: E501 if local_vars_configuration is None: local_vars_configuration = Configuration() self.local_vars_configuration = local_vars_configuration self._body = None self.discriminator = None if body is not None: self.body = body @property def body(self): """Gets the body of this OryAccessControlPolicyRoles. # noqa: E501 The request body. in: body type: array # noqa: E501 :return: The body of this OryAccessControlPolicyRoles. # noqa: E501 :rtype: list[OryAccessControlPolicyRole] """ return self._body @body.setter def body(self, body): """Sets the body of this OryAccessControlPolicyRoles. The request body. in: body type: array # noqa: E501 :param body: The body of this OryAccessControlPolicyRoles. # noqa: E501 :type: list[OryAccessControlPolicyRole] """ self._body = body def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, OryAccessControlPolicyRoles): return False return self.to_dict() == other.to_dict() def __ne__(self, other): """Returns true if both objects are not equal""" if not isinstance(other, OryAccessControlPolicyRoles): return True return self.to_dict() != other.to_dict()

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def knuthMorrisPrattAlgorithm(string, substring): pattern = buildPattern(substring) return doesMatch(string, substring, pattern) def buildPattern(substring): pattern = [-1 for _ in substring] j, i = 0, 1 while i < len(substring): if substring[i] == substring[j]: pattern[i] = j i += 1 j += 1 elif j > 0: j = pattern[j - 1] + 1 else: i += 1 return pattern def doesMatch(string, substring, pattern): i, j = 0, 0 while i + len(substring) - j <= len(string): if string[i] == substring[j]: if j == len(substring) - 1: return True i += 1 j += 1 elif j > 0: j = pattern[j - 1] + 1 else: i += 1 return False

[ "partho.biswas@aurea.com" ]

partho.biswas@aurea.com

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/Day4/ansiblevault/inheritance.py

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[]

no_license

vinodhmvm/ansibledockertraining

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e28f42b5a09f96fc12f0b3044d617eca80aba154

refs/heads/master

2020-03-16T22:01:47.512777

2018-05-11T10:10:10

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class Parent1: def __init__(self): print("Paren1 Inside Constructor") self.__privateData1 = 100 self._protectedData1 = 200 self.publicData1 = 300 def setValues(self, val1, val2, val3): self.__privateData1 = val1 self._protectedData1 = val2 self.publicData1 = val3 def printValues(self): print("Value of private data is" + str(self.__privateData1)) print("Value of protected data" + str(self._protectedData1)) print("Value of public data" + str(self.publicData1)) class Parent2: def __init__(self): print("Paren2 Inside Constructor") self.__privateData2 = 400 self._protectedData2 = 500 self.publicData2 = 600 def setValues(self, val1, val2, val3): self.__privateData2 = val1 self._protectedData2 = val2 self.publicData2 = val3 def printValues(self): print("Value of private data is" + str(self.__privateData2)) print("Value of protected data" + str(self._protectedData2)) print("Value of public data" + str(self.publicData2)) class Child(Parent1, Parent2): def __init__(self): Parent1.__init__(self) Parent2.__init__(self) def main(): obj1 = Child() print("Value of member variables before calling setValus function") obj1.printValues() print("Attempt to read public variable directly " ,obj1.publicData1) print("Attempt to read protected variable directly ", obj1._protectedData2) #print("Attempt to read private variable directly ", obj1.__privateData) main()

[ "root@localhost.localdomain" ]

root@localhost.localdomain

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/exs/mundo_3/python/075.py

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BearingMe/exercicios-CeV

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refs/heads/master

2023-04-13T09:51:33.449706

2023-03-29T19:51:43

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2022-07-29T23:00:45

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""" Desafio 075 Problema: Desenvolva um programa que leia quatro valores pelo teclado e guarde-os em uma tupla. No final, mostre: A) Quantas vezes apareceu o valor 9; B) Em que posição foi digitado o primeiro valor 3; C) Quais foram os números pares. Resolução do problema: """ # Inserindo valores na tupla valores = tuple(int(input(f'Digite o {cont + 1}º valor: ')) for cont in range(4)) print(f'\nO valor 9 apareceu: {valores.count(9)} vezes') if valores.count(3) != 0: print(f'O valor 3 apareceu na {valores.index(3) + 1}º posição') else: print('O valor 3 não foi digitado em nenhuma posição') print('Os valores pares digitados: ', end='') for numero in valores: if numero % 2 == 0: print(numero, end=' ')

[ "50463866+matheusfelipeog@users.noreply.github.com" ]

50463866+matheusfelipeog@users.noreply.github.com

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/65.py

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[]

no_license

higher68/lang_process

c8ff7963ea2824e9387a982bf9ec1d28d91b467e

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refs/heads/master

2020-03-21T08:01:42.432014

2018-10-08T14:47:07

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null

UTF-8

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py

##!!!!!!!!!!exercute 64.py and setup testdb!!!!!!!!!!!!! ##!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!11 import json from pymongo import MongoClient # mongodbへのクエリをだす from bson.objectid import ObjectId def support_ObjectId(obj): '''json.dumps()でObjectIdを処理するための関数 ObjectIdはjsonエンコードできない型なので、文字列型に変換する戻り値： ObjectIdから変換した文字列 ''' if isinstance(obj, ObjectId): return str(obj) # 文字列として扱う raise TypeError(repr(obj) + " is not JSON serializable") # MongoDBのデータベースtestdbのコレクションartistにアクセス client = MongoClient() # mongoclientのインスタンス作成 db = client.testdb # mongodb内のデータベースの一つ、testdbを呼び出している collection = db.artist # databese内にあるコレクション〜rdbでいうテーブル〜を呼び出す # rdb：リレーショナルデータベース # rdbは全てのデータをテーブルというデータ形式で表現 # https://employment.en-japan.com/engineerhub/entry/2017/11/22/110000 # 検索 # collectionはfindで検索可能 # collection.findはcursorオブジェクトを返す for i, doc in enumerate(collection.find({'name': 'Queen'}), start=1): # 整形して表示 print('{}件目の内容：\n{}'.format(i, json.dumps( doc, indent='\t', ensure_ascii=False, sort_keys=True, default=support_ObjectId ) )) # jsonのエンコーダー：json.dumps() 辞書をjson形式の文字列として出力 # 引数を指定して整形可能 # json.load() jsonファイルを辞書として読み込む

[ "hatiro7code@gmail.com" ]

hatiro7code@gmail.com

cd400a68fac11c77858bc6409ccc7da10a5332b8

b26674cda3264ad16af39333d79a700b72587736

/corehq/util/mixin.py

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[]

no_license

tlwakwella/commcare-hq

2835206d8db84ff142f705dbdd171e85579fbf43

a3ac7210b77bea6c2d0392df207d191496118872

refs/heads/master

2021-01-18T02:07:09.268150

2016-03-24T14:12:49

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import uuid class UUIDGeneratorException(Exception): pass class UUIDGeneratorMixin(object): """ Automatically generates uuids on __init__ if not generated yet. To use: Add this mixin to your model as the left-most class being inherited from and list all field names in UUIDS_TO_GENERATE to generate uuids for. NOTE: Where possible, a UUIDField should be used instead of this mixin. But this is needed in cases where migrating a char field to a UUIDField is not possible because some of the existing uuids don't match the UUIDField format constraints. """ def __init__(self, *args, **kwargs): super(UUIDGeneratorMixin, self).__init__(*args, **kwargs) field_names = getattr(self, 'UUIDS_TO_GENERATE', []) if not field_names: raise UUIDGeneratorException("Expected UUIDS_TO_GENERATE to not be empty") for field_name in field_names: value = getattr(self, field_name) if not value: setattr(self, field_name, uuid.uuid4().hex)

[ "gcapalbo@dimagi.com" ]

gcapalbo@dimagi.com

57eda055023149e7acd1f892a5d03da7db1cfc98

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/legacy_examples/exp_concat_visual_bpr.py

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permissive

Yuan-T-Xuan/openrec

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2020-03-11T17:46:07.472963

2018-10-16T01:53:31

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Apache-2.0

2018-03-06T00:44:03

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import os import sys sys.path.append(os.getcwd()) from openrec.legacy import ImplicitModelTrainer from openrec.legacy.utils import ImplicitDataset from openrec.legacy.recommenders import ConcatVisualBPR from openrec.legacy.utils.evaluators import AUC from openrec.legacy.utils.samplers import PairwiseSampler from config import sess_config import dataloader raw_data = dataloader.load_tradesy() batch_size = 1000 test_batch_size = 100 item_serving_size = 1000 display_itr = 10000 train_dataset = ImplicitDataset(raw_data['train_data'], raw_data['max_user'], raw_data['max_item'], name='Train') val_dataset = ImplicitDataset(raw_data['val_data'], raw_data['max_user'], raw_data['max_item'], name='Val') test_dataset = ImplicitDataset(raw_data['test_data'], raw_data['max_user'], raw_data['max_item'], name='Test') model = ConcatVisualBPR(batch_size=batch_size, max_user=raw_data['max_user'], max_item=raw_data['max_item'], item_serving_size=item_serving_size, dim_embed=20, dim_ve=10, item_f_source=raw_data['item_features'], l2_reg=None, sess_config=sess_config) sampler = PairwiseSampler(batch_size=batch_size, dataset=train_dataset, num_process=5) model_trainer = ImplicitModelTrainer(batch_size=batch_size, test_batch_size=test_batch_size, item_serving_size=item_serving_size, train_dataset=train_dataset, model=model, sampler=sampler) auc_evaluator = AUC() model_trainer.train(num_itr=int(1e5), display_itr=display_itr, eval_datasets=[val_dataset, test_dataset], evaluators=[auc_evaluator], num_negatives=1000)

[ "ylongqi@gmail.com" ]

ylongqi@gmail.com

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/.history/flex/models_20201029145653.py

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[]

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rucpata/WagtailWebsite

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2023-02-09T15:30:02.133415

2021-01-05T14:55:45

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from django.db import models from wagtail.core.models import Page from wagtail.core.fields import StreamField from wagtail.admin.edit_handlers import StreamFieldPanel from wagtail.snippets.blocks import SnippetChooserBlock from wagtail.core import blocks as wagtail_blocks from streams import blocks from home.models import new_table_options class FlexPage(Page): body = StreamField([ ('title', blocks.TitleBlock()), ('cards', blocks.CardsBlock()), ('image_and_text', blocks.ImageAndTextBlock()), ('cta', blocks.CallToActionBlock()), ('testimonial', SnippetChooserBlock( target_model='testimonials.Testimonial', template = 'streams/testimonial_block.html' )), ('pricing_table', blocks.PricingTableBlock( table_options=new_table_options, )), ('richtext_with_title', blocks.RichTextWithTitleBlock()), #('richtext', wagtail_blocks.RichTextBlock( # template = 'streams/simple_richtext_block.html', # features = ['bold', 'italic', 'ol', 'ul', 'link'] #)), ], null=True, blank=True) content_panels = Page.content_panels + [ StreamFieldPanel('body'), ] class Meta: verbose_name = 'Flex (misc) page' verbose_name_plural = 'Flex (misc) pages'

[ "rucinska.patrycja@gmail.com" ]

rucinska.patrycja@gmail.com

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/BOJ/2953.py

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[]

no_license

devjinius/algorithm

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007fa6346a19868fbbc05eefd50848babb5f1cca

refs/heads/master

2020-05-04T06:08:32.827207

2019-07-31T02:39:39

178,999,456

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# 백준알고리즘 2953번 # https://www.acmicpc.net/problem/2953 # 문제 # 각 참가자가 얻은 점수는 다른 사람이 평가해 준 점수의 합이다. 이 쇼의 우승자는 가장 많은 점수를 얻은 사람이 된다. # 각 참가자가 얻은 평가 점수가 주어졌을 때, 우승자와 그의 점수를 구하는 프로그램을 작성하시오. # 입력 # 총 다섯 개 줄에 각 참가자가 얻은 네 개의 평가 점수가 공백으로 구분되어 주어진다. 첫 번째 참가자부터 다섯 번째 참가자까지 순서대로 주어진다. 항상 우승자가 유일한 경우만 입력으로 주어진다. # 출력 # 첫째 줄에 우승자의 번호와 그가 얻은 점수를 출력한다. # 반환값 # 없음 def solution(): score = [] for _ in range(5): score.append(sum(map(int, input().split(" ")))) maxScore = max(score) print(f'{score.index(maxScore)+1} {maxScore}') solution()

[ "eugenekang94@gmail.com" ]

eugenekang94@gmail.com

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2021-04-12T08:41:32.261209

2018-05-17T23:11:31

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null

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# quicksort algorithms for linked list class ListNode: def __init__(self, val, next=None): self.val = val self.next = next def __repr__(self): rv = str(self.val) if self.next: rv = rv + ' -> ' + repr(self.next) return rv def qsort(start, end=None): if start is end or start.next is end: return pivot = start.val last = start cur = start.next # partition while cur is not end: if cur.val <= pivot: last = last.next cur.val, last.val = last.val, cur.val cur = cur.next start.val, last.val = last.val, start.val qsort(start, last) qsort(last.next, end)

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codeartisan@outlook.com

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import unittest import solution class TestQ(unittest.TestCase): def test_case_0(self): self.assertEqual(solution.howManyGames(20, 3, 6, 80), 6) def test_case_1(self): self.assertEqual(solution.howManyGames(20, 3, 6, 85), 7) if __name__ == '__main__': unittest.main()

[ "hbinhct@gmail.com" ]

hbinhct@gmail.com

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refs/heads/master

2023-03-11T22:47:56.963089

2023-03-05T01:21:06

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168

py

N = int(input()) S = input() if N % 2 != 0: print(-1) exit(0) half = N//2 ans = 0 for i in range(half): if S[i] != S[i+half]: ans += 1 print(ans)

[ "ayakobon@gmail.com" ]

ayakobon@gmail.com

e43f804556ee3049d4fcaffe0a2c595238467584

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/day08_all/day08/exercise04.py

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[]

no_license

dalaAM/month-01

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refs/heads/master

2022-11-22T23:49:43.037014

2020-07-24T07:37:35

282,154,216

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py

""" 参照下列代码,定义函数,计算斤量. day02/exercise08 # total_weight = int(input("请输入多少两：")) # number_jin = total_weight // 16 # number_liang = total_weight % 16 # print("结果为：" + str(number_jin) + "斤" + str(number_liang) + "两") """ def calculation_weight(total_weight): """ 计算斤两 :param total_weight: :return: """ number_jin = total_weight // 16 number_liang = total_weight % 16 return number_jin, number_liang # tuple_result = calculation_weight(100) # print("结果为：" + str(tuple_result[0]) + "斤" + str(tuple_result[1]) + "两") jin, liang = calculation_weight(100) print("结果为：" + str(jin) + "斤" + str(liang) + "两")

[ "1105504468@qq.com" ]

1105504468@qq.com

9481bf27e9bd8c47d6a4ad24719e8ac76919e8b2

87d5b21265c381104de8f45aa67842a4adc880eb

/96. Unique Binary Search Trees.py

26dbb55326d8f87010e034de603ebc359adae505

[]

no_license

MYMSSENDOG/leetcodes

ac047fe0d951e0946740cb75103fc94aae967166

8a52a417a903a0742034161471a084bc1e494d68

refs/heads/master

2020-09-23T16:55:08.579319

2020-09-03T19:44:26

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0

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from tree_node_lib import * class Solution: def numTrees(self, n: int) -> int: dp = [0]*(n+1) dp[0] = 1 if n == 0: return 0 else: for i in range(1,n+1): for j in range(i): dp[i] += dp[j] * dp[i-j-1] return dp[n] sol = Solution() n = 5 print(sol.numTrees(n))

[ "fhqmtkfkd@naver.com" ]

fhqmtkfkd@naver.com

60653133ec457b24ba0b502d0d5d416b5464ac9e

d807627695b0be66f5b666a0a7292e74b4168af0

/tests/server/util.py

f0589cc4579dc662a2f1f0aa55977e9451e996a4

[]

no_license

evvaletov/balsam

fc61c57c09807b2047d9fdc601929137749cb1e3

b0c908706ccb7aee2f01cae81da7a64272b29767

refs/heads/main

2023-08-10T16:39:20.546564

2021-09-02T17:35:35

null

0

null

UTF-8

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from fastapi import status from fastapi.encoders import jsonable_encoder class BalsamTestClient: def __init__(self, client): self._client = client @property def headers(self): return self._client.headers def check_stat(self, expect_code, response): if expect_code is None: return if isinstance(expect_code, (list, tuple)): assert response.status_code in expect_code, response.text else: assert response.status_code == expect_code, response.text def get(self, url, check=status.HTTP_200_OK, **kwargs): """GET kwargs become URL query parameters (e.g. /?site=3)""" response = self._client.get(url, params=kwargs) self.check_stat(check, response) return response.json() def post_form(self, url, check=status.HTTP_201_CREATED, **kwargs): response = self._client.post(url, data=kwargs) self.check_stat(check, response) return response.json() def post(self, url, check=status.HTTP_201_CREATED, **kwargs): response = self._client.post(url, json=jsonable_encoder(kwargs)) self.check_stat(check, response) return response.json() def bulk_post(self, url, list_data, check=status.HTTP_201_CREATED): response = self._client.post(url, json=jsonable_encoder(list_data)) self.check_stat(check, response) return response.json() def put(self, url, check=status.HTTP_200_OK, **kwargs): response = self._client.put(url, json=jsonable_encoder(kwargs)) self.check_stat(check, response) return response.json() def bulk_put(self, url, payload, check=status.HTTP_200_OK, **kwargs): response = self._client.put(url, json=payload, params=kwargs) self.check_stat(check, response) return response.json() def patch(self, url, check=status.HTTP_200_OK, **kwargs): response = self._client.patch(url, json=jsonable_encoder(kwargs)) self.check_stat(check, response) return response.json() def bulk_patch(self, url, list_data, check=status.HTTP_200_OK): response = self._client.patch(url, json=jsonable_encoder(list_data)) self.check_stat(check, response) return response.json() def delete(self, url, check=status.HTTP_204_NO_CONTENT): response = self._client.delete(url) self.check_stat(check, response) return response.json() def bulk_delete(self, url, check=status.HTTP_204_NO_CONTENT, **kwargs): response = self._client.delete(url, params=kwargs) self.check_stat(check, response) return response.json() def create_site( client, hostname="baz", path="/foo", transfer_locations={}, check=status.HTTP_201_CREATED, ): return client.post( "/sites/", hostname=hostname, path=path, transfer_locations=transfer_locations, check=check, ) def create_app( client, site_id, class_path="demo.SayHello", check=status.HTTP_201_CREATED, parameters=None, transfers=None, ): if parameters is None: parameters = { "name": {"required": True}, "N": {"required": False, "default": 1}, } if transfers is None: transfers = { "hello-input": { "required": False, "direction": "in", "local_path": "hello.yml", "description": "Input file for SayHello", } } return client.post( "/apps/", site_id=site_id, class_path=class_path, parameters=parameters, transfers=transfers, check=check, )

[ "msalim@anl.gov" ]

msalim@anl.gov

cd2e4f6d7aacbf6a2ac1b9a15e8fecf67de1ad0d

25ebc03b92df764ff0a6c70c14c2848a49fe1b0b

/daily/20170928/example_marshmallow/00extend.py

af0aa4d3cf26db1f738db90211a4fc60cc7001be

[]

no_license

podhmo/individual-sandbox

18db414fafd061568d0d5e993b8f8069867dfcfb

cafee43b4cf51a321f4e2c3f9949ac53eece4b15

refs/heads/master

2023-07-23T07:06:57.944539

2023-07-09T11:45:53

61,940,197

6

0

null

2022-10-19T05:01:17

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UTF-8

Python

false

347

py

from marshmallow import Schema, fields class S(Schema): v = fields.Integer(required=True) print(S().load({"v": 10})) print(S().load({"v": 10, "extra": "extra"})) print("----------------------------------------") s = S() s.fields["extra"] = fields.String(required=True) print(s.load({"v": 10})) print(s.load({"v": 10, "extra": "extra"}))

[ "ababjam61+github@gmail.com" ]

ababjam61+github@gmail.com

4de008b82491430f5dd198909206a566a8046d33

3fc01457951a956d62f5e8cc0a8067f6796ee200

/misago/threads/views/list.py

1c38a3fb6308fac9b4d19fcc80f54dd524234a8b

[]

no_license

kinsney/education

8bfa00d699a7e84701a8d49af06db22c384e0e8d

48f832f17c2df7b64647b3db288abccf65868fe6

refs/heads/master

2021-05-04T01:15:03.078130

2016-12-04T03:18:20

71,164,542

3

1

null

UTF-8

Python

false

2,752

py

from django.conf import settings from django.core.urlresolvers import reverse from django.http import Http404 from django.shortcuts import render from django.views.generic import View from ..viewmodels import ( PrivateThreadsCategory, ThreadsCategory, ThreadsRootCategory, ForumThreads, PrivateThreads) class ListBase(View): category = None threads = None template_name = None def get(self, request, list_type=None, **kwargs): try: page = int(request.GET.get('page', 0)) except (ValueError, TypeError): raise Http404() category = self.get_category(request, **kwargs) threads = self.get_threads(request, category, list_type, page) frontend_context = self.get_frontend_context(request, category, threads) request.frontend_context.update(frontend_context) template_context = self.get_template_context(request, category, threads) return render(request, self.template_name, template_context) def get_category(self, request, **kwargs): return self.category(request, **kwargs) def get_threads(self, request, category, list_type, page): return self.threads(request, category, list_type, page) def get_frontend_context(self, request, category, threads): context = self.get_default_frontend_context() context.update(category.get_frontend_context()) context.update(threads.get_frontend_context()) return context def get_default_frontend_context(self): return {} def get_template_context(self, request, category, threads): context = self.get_default_template_context() context.update(category.get_template_context()) context.update(threads.get_template_context()) return context def get_default_template_context(self): return {} class ForumThreads(ListBase): category = ThreadsRootCategory threads = ForumThreads template_name = 'misago/threadslist/threads.html' def get_default_frontend_context(self): return { 'THREADS_API': reverse('misago:api:thread-list'), 'MERGE_THREADS_API': reverse('misago:api:thread-merge'), } class CategoryThreads(ForumThreads): category = ThreadsCategory template_name = 'misago/threadslist/category.html' def get_category(self, request, **kwargs): category = super(CategoryThreads, self).get_category(request, **kwargs) if not category.level: raise Http404() # disallow root category access return category class PrivateThreads(ListBase): category = PrivateThreadsCategory threads = PrivateThreads template_name = 'misago/threadslist/private_threads.html'

[ "kinsney@bupt.edu.cn" ]

kinsney@bupt.edu.cn

b63caf64a7adfc33fa4412914bdfd400318a63eb

e42a61b7be7ec3412e5cea0ffe9f6e9f34d4bf8d

/a10sdk/core/waf/waf_xml_schema.py

a6c1a7ac3aab778fc54295f60cf1cc95b76dda52

[ "Apache-2.0" ]

permissive

amwelch/a10sdk-python

4179565afdc76cdec3601c2715a79479b3225aef

3e6d88c65bd1a2bf63917d14be58d782e06814e6

refs/heads/master

2021-01-20T23:17:07.270210

2015-08-13T17:53:23

40,673,499

0

null

2015-08-13T17:51:35

2015-08-13T17:51:34

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UTF-8

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1,289

py

from a10sdk.common.A10BaseClass import A10BaseClass class XmlSchema(A10BaseClass): """Class Description:: Manage XML-Schema files. Class xml-schema supports CRUD Operations and inherits from `common/A10BaseClass`. This class is the `"PARENT"` class for this module.` :param uuid: {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"} :param max_filesize: {"description": "Set maximum XML-Schema file size (Maximum file size in KBytes, default is 32K)", "partition-visibility": "shared", "default": 32, "optional": true, "format": "number", "maximum": 256, "minimum": 16, "type": "number"} :param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py` URL for this object:: `https://<Hostname|Ip address>//axapi/v3/waf/xml-schema`. """ def __init__(self, **kwargs): self.ERROR_MSG = "" self.required=[] self.b_key = "xml-schema" self.a10_url="/axapi/v3/waf/xml-schema" self.DeviceProxy = "" self.uuid = "" self.max_filesize = "" for keys, value in kwargs.items(): setattr(self,keys, value)

[ "doug@parksidesoftware.com" ]

doug@parksidesoftware.com

7063bba9a5ccd6af262eae54a272ea3d37aa2445

6ab31b5f3a5f26d4d534abc4b197fe469a68e8e5

/tests/beta_tests/test_required_data_2.py

48b091de71469858c02437d9e115177357e086c4

[ "MIT" ]

permissive

mveselov/CodeWars

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1eafd1247d60955a5dfb63e4882e8ce86019f43a

refs/heads/master

2021-06-09T04:17:10.053324

2017-01-08T06:36:17

null

0

null

UTF-8

Python

false

1,473

py

import unittest from katas.beta.required_data_2 import given_nth_value class RequiredData2TestCase(unittest.TestCase): def setUp(self): self.list_1 = [3, 3, -1, 10, 6, 8, -5, 4, 22, 31, 34, -16, -16, 8, 8] self.list_2 = [3, 3, -1, 10, 6, 8, -5, 'Yes', 4, 22, 31] self.list_3 = [3, 3, -1, 10, 6, 8, -5, 4, 22, 31] def test_equals(self): self.assertEqual(given_nth_value(self.list_1, 5, 'min'), 4) def test_equals_2(self): self.assertEqual(given_nth_value(self.list_1, 6, 'max'), 6) def test_equals_3(self): self.assertEqual(given_nth_value(self.list_1, 13, 'max'), 'No way') def test_equals_4(self): self.assertEqual(given_nth_value(self.list_2, 4, 'max'), 'Invalid entry list') def test_equals_5(self): self.assertEqual(given_nth_value([], 4, 'max'), 'No values in the array') def test_equals_6(self): self.assertEqual(given_nth_value(self.list_3, 2, 'mix'), 'Valid entries: \'max\' or \'min\'') def test_equals_7(self): self.assertEqual(given_nth_value(self.list_3, 2, 'MaX'), 22) def test_equals_8(self): self.assertEqual(given_nth_value(self.list_1, -1, 'max'), 'Incorrect value for k') def test_equals_9(self): self.assertEqual(given_nth_value(self.list_1, 'string', 2), 'Incorrect value for k')

[ "the-zebulan@users.noreply.github.com" ]

the-zebulan@users.noreply.github.com

bd39e76f31f1c24a51b416369db58b831e6dfd68

9f13c7be7e88d2486076db0b89a215ab900fea1a

/main/apps/core/tests/test_views.py

2211728d9e898097fa1eadd09d136514d1880520

[]

no_license

truhlik/reimpay

534664d2e506f39ec6b0edea471e7cfbad179c3b

ac8291dc8a0ac543283ee10aecd32deba24a1641

refs/heads/main

2023-08-10T16:45:55.283272

2021-10-06T19:00:15

414,333,776

0

null

UTF-8

Python

false

4,091

py

import datetime from django.test import Client from django.urls import reverse from django.utils import timezone from model_bakery import baker from rest_framework.test import APITestCase from main.apps.users import constants as user_constatnts class CoreViewsTestCase(APITestCase): def setUp(self) -> None: super(CoreViewsTestCase, self).setUp() self.c1 = baker.make('companies.Company') self.c2 = baker.make('companies.Company') self.user_admin = baker.make('users.User', role=user_constatnts.USER_ROLE_ADMIN, company=self.c1) self.user_cra = baker.make('users.User', role=user_constatnts.USER_ROLE_CRA, company=self.c1) self.user_admin_other_company = baker.make('users.User', role=user_constatnts.USER_ROLE_ADMIN, company=self.c2) self.user_cra_other_company = baker.make('users.User', role=user_constatnts.USER_ROLE_CRA, company=self.c2) self.study1 = baker.make('studies.Study', company=self.c1) self.study2 = baker.make('studies.Study', company=self.c1) self.cb1 = baker.make('credit.CreditBalance', study=self.study1) self.cb2 = baker.make('credit.CreditBalance', study=self.study2) self.cb3 = baker.make('credit.CreditBalance') self.site = baker.make('studies.Site', study=self.study1, cra=self.user_cra) def do_auth_admin(self): self.client.force_authenticate(user=self.user_admin) def do_auth_admin_other_company(self): self.client.force_authenticate(user=self.user_admin_other_company) def do_auth_cra(self): self.client.force_authenticate(user=self.user_cra) def do_auth_cra_other_company(self): self.client.force_authenticate(user=self.user_cra_other_company) # def test_list_only_for_authenticated_failed(self): # """ Otestuju, že Study endpointy vyžadují přihlášeného uživatele. """ # # r = self.client.get(reverse('topup-list')) # self.assertEqual(401, r.status_code) # # def test_list_only_for_authenticated_success(self): # """ Otestuju, že Study endpointy vyžadují přihlášeného uživatele. """ # # self.do_auth_cra_other_company() # r = self.client.get(reverse('topup-list')) # self.assertEqual(200, r.status_code) def test_retrieve_finance(self): self.do_auth_admin() r = self.client.get(reverse('finance-detail', args=(self.study1.id, ))) self.assertEqual(200, r.status_code) for k in ['actual_balance', 'paid', 'remaining_visits', 'avg_visit_value', 'exp_budget_need']: self.assertIn(k, r.data.keys()) def test_retrieve_finance_by_cra(self): self.do_auth_cra() r = self.client.get(reverse('finance-detail', args=(self.study1.id, ))) self.assertEqual(200, r.status_code) for k in ['actual_balance', 'paid', 'remaining_visits', 'avg_visit_value', 'exp_budget_need']: self.assertIn(k, r.data.keys()) def test_doctor_login_view(self): patient = baker.make('studies.Patient', number='1', site__pin='2') data = { 'patient_number': 1, 'site_pin': 2, } client = Client() r = client.post(reverse('doctor-login'), data=data) self.assertEqual(200, r.status_code) self.assertEqual('/app/#/patient/{}/'.format(patient.id), r.json()['redirect_to']) session = client.session dt = datetime.datetime.fromisoformat(session["patients"][str(patient.id)]) self.assertTrue(dt > timezone.now()) def test_retrieve_stats(self): self.do_auth_admin() r = self.client.get(reverse('finance-stats', args=(self.study1.id, ))) self.assertEqual(200, r.status_code) for k in ['stats']: self.assertIn(k, r.data.keys()) def test_retrieve_stats_by_cra(self): self.do_auth_cra() r = self.client.get(reverse('finance-stats', args=(self.study1.id, ))) self.assertEqual(200, r.status_code) for k in ['stats']: self.assertIn(k, r.data.keys())

[ "lubos@endevel.cz" ]

lubos@endevel.cz

2200eada0e86c8efa83ef9570debe0a0a5d506eb

8b9638839818331df2637cf389d38d541c2b94ed

/SSWW_fitting/n5_Asimov_Dataset_fitting/n0_Asimov_DatasetMaking.py

795663ef59a8f12f9a0f05eedb919b7f3b4d9d2c

[]

no_license

PKUHEPEWK/DNN

015bb5f862f6ee0363f8671890339469ef7aa76b

ad500137441b2f0a55bf462830aca42d9c9d6710

refs/heads/master

2020-03-25T01:34:54.253383

2019-01-29T07:56:26

143,244,572

0

null

UTF-8

Python

false

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from ROOT import * from math import sqrt import sys, os, math #from root_numpy import * import numpy as np sys.path.append("/Users/leejunho/Desktop/git/python3Env/group_study/project_pre/func") from c0_READ_PATH_FILE_ROOT import read_file_name_root class Asimov_Dataset: def __init__(self,infileLL,infileTTTL): self.tfileLL = TFile(infileLL,"READ") self.tfileTTTL = TFile(infileTTTL,"READ") return def Make_AsimovData(self,NLLTarget,NTTTLTarget,BinNum=20): TreeLL = self.tfileLL.Get("tree"); TreeTTTL = self.tfileTTTL.Get("tree") EntriesLL = TreeLL.GetEntries(); print("Total Entry of Tree LL :",EntriesLL) EntriesTTTL = TreeTTTL.GetEntries(); print("Total Entry of Tree TTTL :",EntriesTTTL) LL_scale = NLLTarget/EntriesLL; TTTL_scale = NTTTLTarget/EntriesTTTL print("Scale Factor on each LL event :",LL_scale); print("Scale Factor on each TTTL event :",TTTL_scale) #cv = TCanvas("cv","cv",1200,900); OF = TFile("Asimov_Dataset.root","RECREATE") lep1pt_hist = TH1D("lep1pt_data","lep1pt_data",BinNum,20,650); dphijj_hist = TH1D("dphijj_data","dphijj_data",BinNum,-0.5,3.5); detajj_hist = TH1D("detajj_data","detajj_data",BinNum,2,10); jet1pt_hist = TH1D("jet1pt_data","jet1pt_data",BinNum,20,800); lep1pt_hist_LL = TH1D("lep1pt_LL","lep1pt_LL",BinNum,20,650); dphijj_hist_LL = TH1D("dphijj_LL","dphijj_LL",BinNum,-0.5,3.5); detajj_hist_LL = TH1D("detajj_LL","detajj_LL",BinNum,2,10); jet1pt_hist_LL = TH1D("jet1pt_LL","jet1pt_LL",BinNum,20,800); lep1pt_hist_TTTL = TH1D("lep1pt_TTTL","lep1pt_TTTL",BinNum,20,650); dphijj_hist_TTTL = TH1D("dphijj_TTTL","dphijj_TTTL",BinNum,-0.5,3.5); detajj_hist_TTTL = TH1D("detajj_TTTL","detajj_TTTL",BinNum,2,10); jet1pt_hist_TTTL = TH1D("jet1pt_TTTL","jet1pt_TTTL",BinNum,20,800); ''' LL_lep1pt_array = tree2array(TreeLL, branches='lep1pt') LL_lep1pt_array_min = np.amin(LL_lep1pt_array); LL_lep1pt_array_max = np.amax(LL_lep1pt_array); LL_dphijj_array = tree2array(TreeLL, branches='dphijj') LL_dphijj_array_min = np.amin(LL_dphijj_array); LL_dphijj_array_max = np.amax(LL_dphijj_array); TTTL_lep1pt_array = tree2array(TreeTTTL, branches='lep1pt') TTTL_lep1pt_array_min = np.amin(TTTL_lep1pt_array); TTTL_lep1pt_array_max = np.amax(TTTL_lep1pt_array); LL_lep1pt_array = tree2array(TreeLL, branches='lep1pt') LL_lep1pt_array_min = np.amin(LL_lep1pt_array); LL_lep1pt_array_max = np.amax(LL_lep1pt_array); ''' print("Rotation on TreeLL, Filling Histogram") for i in range(EntriesLL): if i%50000==0: print("Now looping", i," of Total",EntriesLL); TreeLL.GetEntry(i) lep1pt_hist.Fill(eval("TreeLL.lep1pt"),LL_scale) dphijj_hist.Fill(eval("TreeLL.dphijj"),LL_scale) detajj_hist.Fill(eval("TreeLL.detajj"),LL_scale) jet1pt_hist.Fill(eval("TreeLL.jet1pt"),LL_scale) lep1pt_hist_LL.Fill(eval("TreeLL.lep1pt")) dphijj_hist_LL.Fill(eval("TreeLL.dphijj")) detajj_hist_LL.Fill(eval("TreeLL.detajj")) jet1pt_hist_LL.Fill(eval("TreeLL.jet1pt")) print("Rotation on TreeTTTL, Filling Histogram") for i in range(EntriesTTTL): if i%50000==0: print("Now looping", i," of Total",EntriesTTTL); TreeTTTL.GetEntry(i) lep1pt_hist.Fill(eval("TreeTTTL.lep1pt"),TTTL_scale) dphijj_hist.Fill(eval("TreeTTTL.dphijj"),TTTL_scale) detajj_hist.Fill(eval("TreeTTTL.detajj"),TTTL_scale) jet1pt_hist.Fill(eval("TreeTTTL.jet1pt"),TTTL_scale) lep1pt_hist_TTTL.Fill(eval("TreeTTTL.lep1pt")) dphijj_hist_TTTL.Fill(eval("TreeTTTL.dphijj")) detajj_hist_TTTL.Fill(eval("TreeTTTL.detajj")) jet1pt_hist_TTTL.Fill(eval("TreeTTTL.jet1pt")) print("Resetting error-bar on each bin") for i in range(BinNum): temp_content_error = sqrt(lep1pt_hist.GetBinContent(i+1)) lep1pt_hist.SetBinError(i+1, temp_content_error) temp_content_error = sqrt(dphijj_hist.GetBinContent(i+1)) dphijj_hist.SetBinError(i+1, temp_content_error) temp_content_error = sqrt(detajj_hist.GetBinContent(i+1)) detajj_hist.SetBinError(i+1, temp_content_error) temp_content_error = sqrt(jet1pt_hist.GetBinContent(i+1)) jet1pt_hist.SetBinError(i+1, temp_content_error) OF.Write() OF.Close() return def Append_MC(self): return def main(): infileLL = "/Users/leejunho/Desktop/git/PKUHEP/DNN/SSWW_split_input/result/for_LL_TTTL_compare/SS_250M_cut_LL.root" #FIXME infileTTTL = "/Users/leejunho/Desktop/git/PKUHEP/DNN/SSWW_split_input/result/for_LL_TTTL_compare/SS_250M_cut_TTTL.root" #FIXME BinNum = 20 #FIXME XSec = 0.17864 #pb #FIXME Lumi = 3000000 #pb-1 == 10^-3 *fb-1 #FIXME eff_sel = 0.015944 #FIXME eff_LL = 0.04503 #FIXME NTotTarget = XSec*Lumi*eff_sel; NLLTarget = NTotTarget*eff_LL; NTTTLTarget = NTotTarget*(1-eff_LL) print("Targetting LL Event number :",NLLTarget) print("Targetting TTTL Event number :",NTTTLTarget) Asimov = Asimov_Dataset(infileLL=infileLL,infileTTTL=infileTTTL) Asimov.Make_AsimovData(NLLTarget,NTTTLTarget,BinNum) if __name__=="__main__": main()

[ "skyblue1293@naver.com" ]

skyblue1293@naver.com

ba0d414f75ba433e54bc79826218257d4eb70aa8

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/revise-daily/arjuna-vishwamitra-abhimanyu/educative/5-medium-subsets/4_permutation_case_sensitive.py

f355280b9cad1e435f0ad603dc1e781b88acf6e7

[]

no_license

kashyapa/interview-prep

45d77324446da34d99bf8efedb3544b367b5523e

7060c090c40602fb9c4778eace2078e1b51e235b

refs/heads/master

2023-07-28T13:12:49.515299

2021-09-06T14:33:25

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def permutation_swapcase(str): # abcd, Abcd, aBcd, ABcd, abCd, AbCd, aBCd, ABCd, abcD, AbcD, aBcD, ABcD, abCD, AbCD, aBCD, ABCD perms = [] perms.append(str) for i in range(len(str)): n = len(perms) if str[i].isalpha(): for j in range(n): new_perm = perms[j] chs = list(new_perm) chs[i] = chs[i].swapcase() perms.append("".join(new_perm)) return perms

[ "schandra2@godaddy.com" ]

schandra2@godaddy.com

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/robust_loss/util.py

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Jimmy-INL/google-research

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refs/heads/master

2023-04-07T19:43:54.483068

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# coding=utf-8 # Copyright 2022 The Google Research Authors. # # 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. """Helper functions.""" import numpy as np import tensorflow.compat.v2 as tf def log_safe(x): """The same as tf.math.log(x), but clamps the input to prevent NaNs.""" return tf.math.log(tf.minimum(x, tf.cast(3e37, x.dtype))) def log1p_safe(x): """The same as tf.math.log1p(x), but clamps the input to prevent NaNs.""" return tf.math.log1p(tf.minimum(x, tf.cast(3e37, x.dtype))) def exp_safe(x): """The same as tf.math.exp(x), but clamps the input to prevent NaNs.""" return tf.math.exp(tf.minimum(x, tf.cast(87.5, x.dtype))) def expm1_safe(x): """The same as tf.math.expm1(x), but clamps the input to prevent NaNs.""" return tf.math.expm1(tf.minimum(x, tf.cast(87.5, x.dtype))) def inv_softplus(y): """The inverse of tf.nn.softplus().""" return tf.where(y > 87.5, y, tf.math.log(tf.math.expm1(y))) def logit(y): """The inverse of tf.nn.sigmoid().""" return -tf.math.log(1. / y - 1.) def affine_sigmoid(real, lo=0, hi=1): """Maps reals to (lo, hi), where 0 maps to (lo+hi)/2.""" if not lo < hi: raise ValueError('`lo` (%g) must be < `hi` (%g)' % (lo, hi)) alpha = tf.sigmoid(real) * (hi - lo) + lo return alpha def inv_affine_sigmoid(alpha, lo=0, hi=1): """The inverse of affine_sigmoid(., lo, hi).""" if not lo < hi: raise ValueError('`lo` (%g) must be < `hi` (%g)' % (lo, hi)) real = logit((alpha - lo) / (hi - lo)) return real def affine_softplus(real, lo=0, ref=1): """Maps real numbers to (lo, infinity), where 0 maps to ref.""" if not lo < ref: raise ValueError('`lo` (%g) must be < `ref` (%g)' % (lo, ref)) shift = inv_softplus(tf.cast(1., real.dtype)) scale = (ref - lo) * tf.nn.softplus(real + shift) + lo return scale def inv_affine_softplus(scale, lo=0, ref=1): """The inverse of affine_softplus(., lo, ref).""" if not lo < ref: raise ValueError('`lo` (%g) must be < `ref` (%g)' % (lo, ref)) shift = inv_softplus(tf.cast(1., scale.dtype)) real = inv_softplus((scale - lo) / (ref - lo)) - shift return real def students_t_nll(x, df, scale): """The NLL of a Generalized Student's T distribution (w/o including TFP).""" return 0.5 * ((df + 1.) * tf.math.log1p( (x / scale)**2. / df) + tf.math.log(df)) + tf.math.log( tf.abs(scale)) + tf.math.lgamma( 0.5 * df) - tf.math.lgamma(0.5 * df + 0.5) + 0.5 * np.log(np.pi) # A constant scale that makes tf.image.rgb_to_yuv() volume preserving. _VOLUME_PRESERVING_YUV_SCALE = 1.580227820074 def rgb_to_syuv(rgb): """A volume preserving version of tf.image.rgb_to_yuv(). By "volume preserving" we mean that rgb_to_syuv() is in the "special linear group", or equivalently, that the Jacobian determinant of the transformation is 1. Args: rgb: A tensor whose last dimension corresponds to RGB channels and is of size 3. Returns: A scaled YUV version of the input tensor, such that this transformation is volume-preserving. """ return _VOLUME_PRESERVING_YUV_SCALE * tf.image.rgb_to_yuv(rgb) def syuv_to_rgb(yuv): """A volume preserving version of tf.image.yuv_to_rgb(). By "volume preserving" we mean that rgb_to_syuv() is in the "special linear group", or equivalently, that the Jacobian determinant of the transformation is 1. Args: yuv: A tensor whose last dimension corresponds to scaled YUV channels and is of size 3 (ie, the output of rgb_to_syuv()). Returns: An RGB version of the input tensor, such that this transformation is volume-preserving. """ return tf.image.yuv_to_rgb(yuv / _VOLUME_PRESERVING_YUV_SCALE) def image_dct(image): """Does a type-II DCT (aka "The DCT") on axes 1 and 2 of a rank-3 tensor.""" dct_y = tf.transpose( a=tf.signal.dct(image, type=2, norm='ortho'), perm=[0, 2, 1]) dct_x = tf.transpose( a=tf.signal.dct(dct_y, type=2, norm='ortho'), perm=[0, 2, 1]) return dct_x def image_idct(dct_x): """Inverts image_dct(), by performing a type-III DCT.""" dct_y = tf.signal.idct( tf.transpose(dct_x, perm=[0, 2, 1]), type=2, norm='ortho') image = tf.signal.idct( tf.transpose(dct_y, perm=[0, 2, 1]), type=2, norm='ortho') return image def compute_jacobian(f, x): """Computes the Jacobian of function `f` with respect to input `x`.""" x = tf.convert_to_tensor(x) with tf.GradientTape(persistent=True) as tape: tape.watch(x) vec = lambda x: tf.reshape(x, [-1]) jacobian = tf.stack( [vec(tape.gradient(vec(f(x))[d], x)) for d in range(tf.size(x))]) return jacobian def get_resource_as_file(path): """A uniform interface for internal/open-source files.""" class NullContextManager(object): def __init__(self, dummy_resource=None): self.dummy_resource = dummy_resource def __enter__(self): return self.dummy_resource def __exit__(self, *args): pass return NullContextManager('./' + path) def get_resource_filename(path): """A uniform interface for internal/open-source filenames.""" return './' + path

[ "copybara-worker@google.com" ]

copybara-worker@google.com

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518bf342bc4138982af3e2724e75f1d9ca3ba56c

/solutions/1589. Maximum Sum Obtained of Any Permutation/1589.py

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[ "MIT" ]

permissive

walkccc/LeetCode

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a27be41c174565d365cbfe785f0633f634a01b2a

refs/heads/main

2023-08-28T01:32:43.384999

2023-08-20T19:00:45

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MIT

2023-08-13T14:48:42

2019-02-23T15:46:23

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false

507

py

class Solution: def maxSumRangeQuery(self, nums: List[int], requests: List[List[int]]) -> int: kMod = 1_000_000_007 ans = 0 # count[i] := # of times nums[i] has been requested count = [0] * len(nums) for start, end in requests: count[start] += 1 if end + 1 < len(nums): count[end + 1] -= 1 for i in range(1, len(nums)): count[i] += count[i - 1] for num, c in zip(sorted(nums), sorted(count)): ans += num * c ans %= kMod return ans

[ "me@pengyuc.com" ]

me@pengyuc.com

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/firstproject/urls.py

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[]

no_license

16LeeSeul/django_wordcount

f09ae855406cf767e0555191385a22e07218a8ba

01d195298de0cd03390d397d01ccb2e79b8fd593

refs/heads/master

2020-04-17T23:25:44.141771

2019-01-22T17:16:19

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from django.contrib import admin from django.urls import path import wordcount.views urlpatterns = [ path('admin/', admin.site.urls), path('', wordcount.views.home, name="home"), path('about/', wordcount.views.about, name="about"), path('result/', wordcount.views.result, name="result"), path('index/', wordcount.views.index, name="index"), ]

[ "YOUR@EMAIL.com" ]

YOUR@EMAIL.com

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/.eggs/scikit_learn-0.19.1-py2.7-linux-x86_64.egg/sklearn/decomposition/cdnmf_fast.py

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permissive

wouterkessels/PREDICTFastr

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refs/heads/master

2021-04-03T05:21:20.425482

2018-05-14T07:57:40

124,414,878

0

null

2018-03-08T16:00:55

2018-03-08T16:00:54

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UTF-8

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286

py

def __bootstrap__(): global __bootstrap__, __loader__, __file__ import sys, pkg_resources, imp __file__ = pkg_resources.resource_filename(__name__, 'cdnmf_fast.so') __loader__ = None; del __bootstrap__, __loader__ imp.load_dynamic(__name__,__file__) __bootstrap__()

[ "m.starmans@erasmusmc.nl" ]

m.starmans@erasmusmc.nl

82e2d74564a2c116c8172cf12c9f4aae74c1cf6c

324ec5647849f97418c91151e4e1d1953d2d9257

/account_dashboard_bokeh/__manifest__.py

efb0b7a4ced07a7c134122ea173cb32a2235bc73

[]

no_license

MarcosCommunity/marcos_community_addons

84ab9ae7639b1d77ad36a167786160f54e0ef409

7adeceea5c12129baad36c037ff188cbccc98e2f

refs/heads/10.0

2020-04-04T07:27:54.837381

2017-10-10T01:44:17

2017-10-10T01:44:18

45,713,685

15

null

UTF-8

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py

# -*- coding: utf-8 -*- ############################################################################## # # iFenSys Software Solutions Pvt. Ltd. # Copyright (C) 2017 iFenSys Software Solutions(<http://www.ifensys.com>). # you can modify it under the terms of the GNU LESSER # GENERAL PUBLIC LICENSE (LGPL v3), Version 3. # # It is forbidden to publish, distribute, sublicense, or sell copies # of the Software or modified copies of the Software. # # 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 LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details. # # You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE # GENERAL PUBLIC LICENSE (LGPL v3) along with this program. # If not, see <http://www.gnu.org/licenses/>. # ############################################################################## { 'name': 'Accounting Dashboard Bokeh Charts', 'version': '10.0.0.1', 'category':'Accounting', 'summary': 'Accounting Dashboard Bokeh Charts', 'author':'iFenSys Software Solutions Pvt. Ltd', 'company':'iFenSys Software Solutions Pvt. Ltd', 'website': 'http://www.ifensys.com', 'depends': ['base','product','account'], 'data': [ 'views/templates.xml', 'data/dashboard_demo.xml', 'data/dashboard_data.xml', 'views/html_template_views.xml', 'views/menus.xml', ], 'qweb': ['static/src/xml/*.xml'], 'images': ['static/description/banner.png'], 'installable': True, 'auto_install': False, }

[ "eneldoserrata@gmail.com" ]

eneldoserrata@gmail.com

5f530fb04413e8fe54b09e163502f22247cc0074

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/posts/urls.py

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[]

no_license

kamral/drf1

080da165852fb2e7247c3298c03f26f96a76046a

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refs/heads/main

2023-01-20T04:45:41.676653

2020-11-26T15:57:08

316,277,381

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UTF-8

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false

192

py

from django.urls import path from .views import PostListApiView,PostDetailApiView urlpatterns=[ path('', PostListApiView.as_view()), path('<int:pk>/', PostDetailApiView.as_view()), ]

[ "kamral010101@gmail.com" ]

kamral010101@gmail.com

a82e2ff00c8f70e65e2c5564da32ab9055065709

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/reproducibilityPackages/independenceStudy/cuibm/gridIndependence/Re2000AoA35/plotForceCoefficientsCompareATol.py

6fc2b7a0aa8a39ee7e310044a2b9ecc90c862db6

[ "CC-BY-4.0", "CC-BY-3.0", "MIT" ]

permissive

mljack/snake-repro

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refs/heads/master

2023-03-18T16:24:37.684519

2020-05-10T17:34:03

null

0

null

UTF-8

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""" Compares the instantaneous force coefficients obtained on the coarse mesh (h=0.006) using a different absolute tolerance (1.0E-05 and 1.0E-06) as exit criterion for the Poisson solver. The velocity solver is solved with an absolute tolerance of 1.0E-16 (machine accuracy). This script generates the figure `forceCoefficientsCompareATol.png` saved in the same directory. """ import os import warnings from matplotlib import pyplot import snake from snake.cuibm.simulation import CuIBMSimulation if snake.__version__ != '0.1.2': warnings.warn('The figures were originally created with snake-0.1.2, '+ 'you are using snake-{}'.format(snake.__version__)) # Computes the mean force coefficients from the cuIBM simulation # with grid-spacing h=0.006 in the uniform region and atol=1.0E-06 for the # Poisson solver. # The force coefficients are averaged between 32 and 64 time-units. simulation_directory = os.path.join(os.path.dirname(__file__), 'h0.006_vatol16_patol6_dt0.0002') simulation = CuIBMSimulation(description='atol=1.0E-06', directory=simulation_directory) simulation.read_forces() simulation.get_mean_forces(limits=[32.0, 64.0]) # Computes the mean force coefficients from the cuIBM simulation # with grid-spacing h=0.006 in the uniform region and atol=1.0E-05 for the # Poisson solver. # The force coefficients are averaged between 32 and 64 time-units. simulation_directory = os.path.join(os.path.dirname(__file__), 'h0.006_vatol16_patol5_dt0.0002') simulation2 = CuIBMSimulation(description='atol=1.0E-05', directory=simulation_directory) simulation2.read_forces() simulation2.get_mean_forces(limits=[32.0, 64.0]) # Creates a table with the time-averaged force coefficients. dataframe = simulation.create_dataframe_forces(display_coefficients=True, coefficient=2.0) dataframe2 = simulation2.create_dataframe_forces(display_coefficients=True, coefficient=2.0) dataframe = dataframe.append([dataframe2]) print(dataframe) # Plots the instantaneous force coefficients from the simulation using shifted # markers and from the simulation using exact markers. fig, ax = pyplot.subplots(figsize=(6, 4)) ax.grid(True, zorder=0) ax.set_xlabel('non-dimensional time-unit') ax.set_ylabel('force coefficients') ax.plot(simulation.forces[0].times, 2.0*simulation.forces[0].values, label='$C_d$ - $atol = 10^{-6}$', color='#377eb8', linestyle='-', linewidth=2, zorder=10) ax.plot(simulation2.forces[0].times, 2.0*simulation2.forces[0].values, label='$C_d$ - $atol = 10^{-5}$', color='#111111', linestyle='-', linewidth=1, zorder=11) ax.plot(simulation.forces[1].times, 2.0*simulation.forces[1].values, label='$C_l$ - $atol = 10^{-6}$', color='#ff7f00', linewidth=2, linestyle='-', zorder=10) ax.plot(simulation2.forces[1].times, 2.0*simulation2.forces[1].values, label='$C_l$ - $atol = 10^{-5}$', color='#111111', linestyle=':', linewidth=2, zorder=11) ax.axis([0.0, 80.0, 0.75, 3.5]) ax.legend(ncol=2, loc='upper right') file_path = os.path.join(os.path.dirname(__file__), 'forceCoefficientsCompareATol.png') pyplot.savefig(file_path, bbox_inches='tight', format='png', dpi=300)

[ "mesnardo@gwu.edu" ]

mesnardo@gwu.edu

d47f5cff2feae7651c928e07fc84f08ff20b1a9b

8661524d0aab2ec62a0443d843cd2810a5d06201

/tiendadj/tienda/tienda/urls.py

b15dad841c769079d032df88bdae517ce5bd6541

[]

no_license

Garavirod/Django-DRF-Projects

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2023-01-13T13:06:06.647724

2020-11-23T19:28:12

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"""tienda URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.0/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path, re_path, include urlpatterns = [ path('admin/', admin.site.urls), # users app urls path re_path('',include('applications.users.urls')), # product app urls path re_path('',include('applications.producto.urls')), # venta app url path re_path('',include('applications.venta.urls')), # Colors path with routers and viewset re_path('', include('applications.producto.routers')), # Venta path with routers and viewset re_path('',include('applications.venta.routers')) ]

[ "rodrigogarciaavila26@gmail.com" ]

rodrigogarciaavila26@gmail.com

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/samples/cli/accelbyte_py_sdk_cli/iam/_delete_client_by_namespace.py

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AccelByte/accelbyte-python-sdk

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refs/heads/main

2023-08-24T14:38:04.370340

2023-08-22T01:08:03

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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 Iam Service (6.2.0) # 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.iam import ( delete_client_by_namespace as delete_client_by_namespace_internal, ) from accelbyte_py_sdk.api.iam.models import RestErrorResponse @click.command() @click.argument("client_id", 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 delete_client_by_namespace( client_id: str, namespace: Optional[str] = None, login_as: Optional[str] = None, login_with_auth: Optional[str] = None, doc: Optional[bool] = None, ): if doc: click.echo(delete_client_by_namespace_internal.__doc__) return x_additional_headers = None if login_with_auth: x_additional_headers = {"Authorization": login_with_auth} else: login_as_internal(login_as) result, error = delete_client_by_namespace_internal( client_id=client_id, namespace=namespace, x_additional_headers=x_additional_headers, ) if error: raise Exception(f"DeleteClientByNamespace failed: {str(error)}") click.echo(yaml.safe_dump(to_dict(result), sort_keys=False)) delete_client_by_namespace.operation_id = "DeleteClientByNamespace" delete_client_by_namespace.is_deprecated = True

[ "elmernocon@gmail.com" ]

elmernocon@gmail.com

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/src/Problems/Trapping_Rain_Water.py

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zouyuanrenren/Leetcode

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refs/heads/master

2020-12-24T16:59:12.464615

2015-01-19T21:59:15

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''' Created on 19 Jan 2015 @author: Yuan ''' ''' This problem has several solutions. Solutoin1: 1. find the peak of the array. 2. for each bar to the left of the peak, if the tallest to its left is MAX, then it can hold MAX-bar water. 3. for each bar to the right of the peak, if the tallest to its right is MAX, then it can hold MAX-bar water. Solution2 is to use a stack. Need to add later. ''' class Solution1: # @param A, a list of integers # @return an integer def trap(self, A): total = 0 if len(A) == 0: return 0 peak = 0 for index in range(0, len(A)): if A[index] > A[peak]: peak = index pre = A[0] for index in range(0, peak): pre = max(pre, A[index]) total += pre-A[index] pre = A[len(A)-1] index = len(A)-1 while index > peak: pre = max(pre, A[index]) total += pre-A[index] index -= 1 return total

[ "y.ren@abdn.ac.uk" ]

y.ren@abdn.ac.uk

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/day_04/json_ex/json_ex01.py

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mindful-ai/18012021PYLVC

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refs/heads/main

2023-02-18T22:40:38.112663

2021-01-22T12:52:47

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import pandas as pd data = pd.read_json('http://api.population.io/1.0/population/India/today-and-tomorrow/?format = json') print(data)

[ "noreply@github.com" ]

mindful-ai.noreply@github.com