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

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# -*- coding: utf-8 -*- # Generated by Django 1.11.11 on 2018-04-23 23:14 from __future__ import unicode_literals from django.db import migrations, models import tinymce.models class Migration(migrations.Migration): initial = True dependencies = [ ('home', '0003_delete_team'), ] operations = [ migrations.CreateModel( name='Message', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sender', models.CharField(max_length=100)), ('email', models.EmailField(max_length=100)), ('date_sent', models.DateTimeField(auto_now_add=True)), ('subject', models.CharField(max_length=100)), ('message', tinymce.models.HTMLField(blank=True)), ], ), ]

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from collections import deque import sys input = sys.stdin.buffer.readline N = int(input()) edges = [[] for _ in range(N)] for _ in range(N - 1): fr, to = map(lambda a: int(a) - 1, input().split()) edges[fr].append(to) edges[to].append(fr) dist = [10**10] * N que = deque([(0, 0)]) while que: now, d = que.popleft() if dist[now] <= d: continue dist[now] = d for to in edges[now]: que.append((to, d + 1)) A = [i for i, d in enumerate(dist) if d % 2 == 0] B = [i for i, d in enumerate(dist) if d % 2 == 1] if len(A) > len(B): A, B = B, A ans = [-1] * N nums = set(range(1, N + 1)) if len(A) <= N // 3: mul = 1 for i in A: ans[i] = 3 * mul nums.remove(3 * mul) mul += 1 nums = list(nums) for i, n in zip(B, nums): ans[i] = n else: mul = 1 for c, i in enumerate(A): if c * 3 + 1 > N: ans[i] = mul * 3 mul += 1 else: ans[i] = c * 3 + 1 for c, i in enumerate(B): if c * 3 + 2 > N: ans[i] = mul * 3 mul += 1 else: ans[i] = c * 3 + 2 print(*ans)

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"""purple_fire_27872 URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path, include, re_path from django.views.generic.base import TemplateView from allauth.account.views import confirm_email from rest_framework import permissions from drf_yasg.views import get_schema_view from drf_yasg import openapi urlpatterns = [ path("", include("home.urls")), path("accounts/", include("allauth.urls")), path("modules/", include("modules.urls")), path("api/v1/", include("home.api.v1.urls")), path("admin/", admin.site.urls), path("users/", include("users.urls", namespace="users")), path("rest-auth/", include("rest_auth.urls")), # Override email confirm to use allauth's HTML view instead of rest_auth's API view path("rest-auth/registration/account-confirm-email/<str:key>/", confirm_email), path("rest-auth/registration/", include("rest_auth.registration.urls")), ] admin.site.site_header = "Purple Fire" admin.site.site_title = "Purple Fire Admin Portal" admin.site.index_title = "Purple Fire Admin" # swagger api_info = openapi.Info( title="Purple Fire API", default_version="v1", description="API documentation for Purple Fire App", ) schema_view = get_schema_view( api_info, public=True, permission_classes=(permissions.IsAuthenticated,), ) urlpatterns += [ path("api-docs/", schema_view.with_ui("swagger", cache_timeout=0), name="api_docs") ] urlpatterns += [path("", TemplateView.as_view(template_name='index.html'))] urlpatterns += [re_path(r"^(?:.*)/?$", TemplateView.as_view(template_name='index.html'))]

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class Solution: """ https://leetcode.com/problems/triangle/ solution: https://leetcode.com/problems/triangle/discuss/38724/7-lines-neat-Java-Solution """ def minimumTotal(self, triangle: 'List[List[int]]') -> int: dp=[0 for i in range(len(triangle)+1)] for i in range(len(triangle)-1,-1,-1): for j in range(len(triangle[i])): dp[j]=min(dp[j],dp[j+1])+triangle[i][j] return dp[0] if __name__ == "__main__": c=Solution() print(c.minimumTotal([ [2], [3,4], [6,5,7], [4,1,8,3] ]))#11

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"""athlete_auction_28818 URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path, include, re_path from django.views.generic.base import TemplateView from allauth.account.views import confirm_email from rest_framework import permissions from drf_yasg.views import get_schema_view from drf_yasg import openapi urlpatterns = [ path("", include("home.urls")), path("accounts/", include("allauth.urls")), path("modules/", include("modules.urls")), path("api/v1/", include("home.api.v1.urls")), path("admin/", admin.site.urls), path("users/", include("users.urls", namespace="users")), path("rest-auth/", include("rest_auth.urls")), # Override email confirm to use allauth's HTML view instead of rest_auth's API view path("rest-auth/registration/account-confirm-email/<str:key>/", confirm_email), path("rest-auth/registration/", include("rest_auth.registration.urls")), ] admin.site.site_header = "Athlete Auction" admin.site.site_title = "Athlete Auction Admin Portal" admin.site.index_title = "Athlete Auction Admin" # swagger api_info = openapi.Info( title="Athlete Auction API", default_version="v1", description="API documentation for Athlete Auction App", ) schema_view = get_schema_view( api_info, public=True, permission_classes=(permissions.IsAuthenticated,), ) urlpatterns += [ path("api-docs/", schema_view.with_ui("swagger", cache_timeout=0), name="api_docs") ] urlpatterns += [path("", TemplateView.as_view(template_name='index.html'))] urlpatterns += [re_path(r"^(?:.*)/?$", TemplateView.as_view(template_name='index.html'))]

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# -*- coding: utf-8 -*- # # Copyright 2019 Google LLC. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ai-platform models list command.""" from __future__ import absolute_import from __future__ import division from __future__ import unicode_literals from googlecloudsdk.api_lib.ml_engine import models from googlecloudsdk.calliope import base from googlecloudsdk.command_lib.ml_engine import endpoint_util from googlecloudsdk.command_lib.ml_engine import flags from googlecloudsdk.command_lib.ml_engine import models_util from googlecloudsdk.core import resources _COLLECTION = 'ml.models' _DEFAULT_FORMAT = """ table( name.basename(), defaultVersion.name.basename() ) """ def _GetUri(model): ref = resources.REGISTRY.ParseRelativeName( model.name, models_util.MODELS_COLLECTION) return ref.SelfLink() class List(base.ListCommand): """List existing AI Platform models.""" @staticmethod def Args(parser): parser.display_info.AddFormat(_DEFAULT_FORMAT) parser.display_info.AddUriFunc(_GetUri) flags.GetRegionArg('model').AddToParser(parser) def Run(self, args): with endpoint_util.MlEndpointOverrides(region=args.region): return models_util.List(models.ModelsClient())

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""" Create a function that takes a single character as an argument and returns the char code of its lowercased / uppercased counterpart. ### Examples Given that: - "A" char code is: 65 - "a" char code is: 97 counterpartCharCode("A") ➞ 97 counterpartCharCode("a") ➞ 65 ### Notes * The argument will always be a single character. * Not all inputs will have a counterpart (e.g. numbers), in which case return the inputs char code. """ def counterpartCharCode(char): return (ord(char.swapcase()))

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Jeetendranani/yaamnotes

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""" 179. Largest Number Given a list of non negative integers, arrange them such that they form the largest number. For example, given [3, 30, 34, 5, 9], the largest formed number is 9534330. Note the result may be every large, so you need to return a string instead of an integer. Approach 1: Sorting via custom comparator Intuition To construct the largest number, we want to ensure that the most significant digits are occupied by the largest digits. Algorithm: First, we convert each integer to a string. Then, we sort the array of strings. While it might be tempting to simply sort the numbers in descending order, this causes leetcode for set of numbers with the same leading digits. For example, sorting the problem example in descending order would produce the number 9534303, while the correct answer can be achieved by transposing the 3 and 30. Therefore, for each pairwise comparison during the sort, we compare the numbers achieved by concatenating the pair in both orders. We can prove that this sorts into the proper order as following: Assume that (without loss of generality), for some pair of integers a and b, our comparator dictates that a should preceding b in sorted order. This means that a_b > b_a (where _ represents concatenation). For the sort to produce an incorrect ordering, there must be some c for which b precendes c and c precedes a, this is a contradiction because a_b > b_a and b_c > c_b implies a_c > c _a. In other words, our custom comparator preserves transitivity, so the sort is correct. Once the array is sorted, the most "signficant" number will at the front. There is a minor edge case comes up when the array comesup when the array consists of only 0, we can simply return 0. Otherwise, we built a string out of the sorted array and return it. """ class LargerNumKey(str): def __lt__(x, y): return x+y > y+x class Solution: def lagest_number(self, nums): largest_num = ''.join(sorted(max(str, nums), key=LargerNumKey)) return '0' if largest_num[0] == '0' else largest_num

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# Stubs for pandas.tests.indexes.timedeltas.test_timedelta_range (Python 3) # # NOTE: This dynamically typed stub was automatically generated by stubgen. # pylint: disable=unused-argument,redefined-outer-name,no-self-use,invalid-name # pylint: disable=relative-beyond-top-level,line-too-long,arguments-differ from typing import Any class TestTimedeltas: def test_timedelta_range(self) -> None: ... def test_linspace_behavior(self, periods: Any, freq: Any) -> None: ... def test_errors(self) -> None: ...

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# -*- coding: utf-8 -*- # # Copyright 2022 Google LLC. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Base class for the Trino job.""" from __future__ import absolute_import from __future__ import division from __future__ import unicode_literals from apitools.base.py import encoding from googlecloudsdk.calliope import arg_parsers from googlecloudsdk.command_lib.dataproc.jobs import base as job_base from googlecloudsdk.command_lib.dataproc.jobs import util as job_util class TrinoBase(job_base.JobBase): """Submit a Trino job to a cluster.""" @staticmethod def Args(parser): """Parses command line arguments specific to submitting Trino jobs.""" driver = parser.add_mutually_exclusive_group(required=True) driver.add_argument( '--execute', '-e', metavar='QUERY', dest='queries', action='append', default=[], help='A Trino query to execute.') driver.add_argument( '--file', '-f', help='HCFS URI of file containing the Trino script to execute.') parser.add_argument( '--properties', type=arg_parsers.ArgDict(), metavar='PARAM=VALUE', help='A list of key value pairs to set Trino session properties.') parser.add_argument( '--properties-file', help=job_util.PROPERTIES_FILE_HELP_TEXT) parser.add_argument( '--driver-log-levels', type=arg_parsers.ArgDict(), metavar='PACKAGE=LEVEL', help=('A list of package-to-log4j log level pairs to configure driver ' 'logging. For example: root=FATAL,com.example=INFO')) parser.add_argument( '--continue-on-failure', action='store_true', help='Whether to continue if a query fails.') parser.add_argument( '--query-output-format', help=('The query output display format. See the Trino documentation ' 'for supported output formats.')) parser.add_argument( '--client-tags', type=arg_parsers.ArgList(), metavar='CLIENT_TAG', help='A list of Trino client tags to attach to this query.') @staticmethod def GetFilesByType(args): return {'file': args.file} @staticmethod def ConfigureJob(messages, job, files_by_type, logging_config, args): """Populates the trinoJob member of the given job.""" trino_job = messages.TrinoJob( continueOnFailure=args.continue_on_failure, queryFileUri=files_by_type['file'], loggingConfig=logging_config) if args.queries: trino_job.queryList = messages.QueryList(queries=args.queries) if args.query_output_format: trino_job.outputFormat = args.query_output_format if args.client_tags: trino_job.clientTags = args.client_tags job_properties = job_util.BuildJobProperties( args.properties, args.properties_file) if job_properties: # Sort properties to ensure tests comparing messages not fail on ordering. trino_job.properties = encoding.DictToAdditionalPropertyMessage( job_properties, messages.TrinoJob.PropertiesValue, sort_items=True) job.trinoJob = trino_job

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Jul 18 17:43:26 2019 @author: sandeep """ lst = [x for x in range(1,50) if x%3 == 0] print(lst)

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# -*- coding: utf-8 -*- ############## # Written by : Jaley Dholakiya # Video Analytics Lab,IISc ############# # Form implementation generated from reading ui file 'expChooseView.ui' # # Created: Sat Mar 14 01:53:22 2015 # by: PyQt4 UI code generator 4.10.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui import os root = os.getenv('EXPRESSO_ROOT') try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_Form(QtGui.QWidget): def __init__(self,parent=None): super(Ui_Form,self).__init__(parent) self.setupUi(self) def setupUi(self, Form): Form.setObjectName(_fromUtf8("Form")) Form.resize(611, 591) Form.setStyleSheet(_fromUtf8("background-color:rgb(195,195,135);")) self.widget = QtGui.QWidget(Form) self.widget.setGeometry(QtCore.QRect(50, 20, 171, 241)) self.widget.setStyleSheet(_fromUtf8("background-color:rgb(195,195,135)")) self.widget.setObjectName(_fromUtf8("widget")) self.label = QtGui.QLabel(self.widget) self.label.setGeometry(QtCore.QRect(20, 170, 201, 71)) self.label.setStyleSheet(_fromUtf8("font: 15pt \"Ubuntu Condensed\";color:rgb(45,60,45)")) self.label.setObjectName(_fromUtf8("label")) self.pushButton = QtGui.QPushButton(self.widget) self.pushButton.setGeometry(QtCore.QRect(10, 20, 141, 141)) self.pushButton.setObjectName(_fromUtf8("pushButton")) self.widget_2 = QtGui.QWidget(Form) self.widget_2.setGeometry(QtCore.QRect(230, 20, 171, 241)) self.widget_2.setStyleSheet(_fromUtf8("background-color:rgb(195,195,135)")) self.widget_2.setObjectName(_fromUtf8("widget_2")) self.pushButton_2 = QtGui.QPushButton(self.widget_2) self.pushButton_2.setGeometry(QtCore.QRect(10, 20, 141, 141)) self.pushButton_2.setObjectName(_fromUtf8("pushButton_2")) self.label_2 = QtGui.QLabel(self.widget_2) self.label_2.setGeometry(QtCore.QRect(10, 170, 151, 71)) self.label_2.setStyleSheet(_fromUtf8("font: 15pt \"Ubuntu Condensed\";color:rgb(45,60,45)")) self.label_2.setObjectName(_fromUtf8("label_2")) self.widget_3 = QtGui.QWidget(Form) self.widget_3.setGeometry(QtCore.QRect(410, 20, 171, 241)) self.widget_3.setStyleSheet(_fromUtf8("background-color:rgb(195,195,135)")) self.widget_3.setObjectName(_fromUtf8("widget_3")) self.pushButton_3 = QtGui.QPushButton(self.widget_3) self.pushButton_3.setGeometry(QtCore.QRect(10, 20, 141, 141)) self.pushButton_3.setObjectName(_fromUtf8("pushButton_3")) self.label_3 = QtGui.QLabel(self.widget_3) self.label_3.setGeometry(QtCore.QRect(10, 170, 151, 71)) self.label_3.setStyleSheet(_fromUtf8("font: 15pt \"Ubuntu Condensed\";color:rgb(45,60,45)")) self.label_3.setObjectName(_fromUtf8("label_3")) self.widget_4 = QtGui.QWidget(Form) self.widget_4.setGeometry(QtCore.QRect(230, 270, 171, 241)) self.widget_4.setStyleSheet(_fromUtf8("background-color:rgb(195,195,135)")) self.widget_4.setObjectName(_fromUtf8("widget_3")) self.pushButton_4 = QtGui.QPushButton(self.widget_4) self.pushButton_4.setGeometry(QtCore.QRect(10, 20, 141, 141)) self.pushButton_4.setObjectName(_fromUtf8("pushButton_3")) self.label_4 = QtGui.QLabel(self.widget_4) self.label_4.setGeometry(QtCore.QRect(10, 170, 151, 71)) self.label_4.setStyleSheet(_fromUtf8("font: 15pt \"Ubuntu Condensed\";color:rgb(45,60,45)")) self.label_4.setObjectName(_fromUtf8("label_3")) self.widget_5 = QtGui.QWidget(Form) self.widget_5.setGeometry(QtCore.QRect(50, 270, 171, 241)) self.widget_5.setStyleSheet(_fromUtf8("background-color:rgb(195,195,135)")) self.widget_5.setObjectName(_fromUtf8("widget_3")) self.pushButton_5 = QtGui.QPushButton(self.widget_5) self.pushButton_5.setGeometry(QtCore.QRect(10, 20, 141, 141)) self.pushButton_5.setObjectName(_fromUtf8("pushButton_3")) self.label_5 = QtGui.QLabel(self.widget_5) self.label_5.setGeometry(QtCore.QRect(10, 170, 151, 71)) self.label_5.setStyleSheet(_fromUtf8("font: 15pt \"Ubuntu Condensed\";color:rgb(45,60,45)")) self.label_5.setObjectName(_fromUtf8("label_3")) self.widget_4.hide() #To to decided(to remove or not) self.retranslateUi(Form) QtCore.QMetaObject.connectSlotsByName(Form) def retranslateUi(self, Form): Form.setWindowTitle(_translate("Form", "Form", None)) self.label.setText(_translate("Form", "Extract Features\n" "via pre-trained net", None)) self.setPushButtonIcons() self.label_2.setText(_translate("Form", "Visuallize deep\n" "network Features", None)) self.label_3.setText(_translate("Form", "Evaluate \n" "pre-trained Net", None)) self.label_4.setText(_translate("Form", "Model Weight \n" "Surgery", None)) self.label_5.setText(_translate("Form", "Evaluate \n" "pre-trained SVM", None)) def setPushButtonIcons(self): icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap(_fromUtf8(root+"/res/exp/extractFeatures.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton.setIcon(icon) self.pushButton.setIconSize(QtCore.QSize(141,141)) icon1 = QtGui.QIcon() icon1.addPixmap(QtGui.QPixmap(_fromUtf8(root+"/res/exp/visuallize.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_2.setIcon(icon1) self.pushButton_2.setIconSize(QtCore.QSize(141,141)) icon2 = QtGui.QIcon() icon2.addPixmap(QtGui.QPixmap(_fromUtf8(root+"/res/exp/accuracy.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_3.setIcon(icon2) self.pushButton_3.setIconSize(QtCore.QSize(141,141)) icon3 = QtGui.QIcon() icon3.addPixmap(QtGui.QPixmap(_fromUtf8(root+"/res/exp/accuracy.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_4.setIcon(icon3) self.pushButton_4.setIconSize(QtCore.QSize(141,141)) icon4 = QtGui.QIcon() icon4.addPixmap(QtGui.QPixmap(_fromUtf8(root+"/res/exp/accuracy.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_5.setIcon(icon4) self.pushButton_5.setIconSize(QtCore.QSize(141,141)) def clickSlot(self): icon1 = QtGui.QIcon() icon1.addPixmap(QtGui.QPixmap(_fromUtf8(root+"/src/train/images/visuallize.jpg")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton.setIcon(icon1) self.pushButton.setIconSize(QtCore.QSize(141,141)) if __name__ == "__main__": import sys app = QtGui.QApplication(sys.argv) Form = QtGui.QWidget() ui = Ui_Form() ui.setupUi(Form) Form.show() sys.exit(app.exec_())

[ "ravika@gmail.com" ]

ravika@gmail.com

a18d2854e9b097c3be8c7134d21f2cde9d04db3a

7aa33a8a8d5360523bf2f6a2ce73f93fd5e63d23

/robotics/Controll.py

e51768b510a2c08a7bac2113c5a90f9ab486318c

[]

no_license

iamMHZ/image-processing-with-opencv

33b6fac0d50649c99fe35f078af8a38d53358447

7412f182ad564905bf24c8fa30f0492b7eb01bd1

refs/heads/master

2021-03-17T16:31:23.640213

2020-05-09T10:22:04

247,002,943

2

0

null

UTF-8

Python

false

172

py

import inputs print(inputs.devices.gamepads) while True: events = inputs.get_gamepad() for event in events: print(event.ev_type, event.code, event.state)

[ "iammhz77@gmail.com" ]

iammhz77@gmail.com

40647bde765a91a69ab9bf788cf3b28a4ec6715a

e811662c890217c77b60aa2e1295dd0f5b2d4591

/src/problem_763.py

33eb4a1f687002f6082644d2dd08682d2f076cda

[]

no_license

rewonderful/MLC

95357f892f8cf76453178875bac99316c7583f84

7012572eb192c29327ede821c271ca082316ff2b

refs/heads/master

2022-05-08T05:24:06.929245

2019-09-24T10:35:22

null

0

null

UTF-8

Python

false

968

py

#!/usr/bin/env python # _*_ coding:utf-8 _*_ def partitionLabels(S): """ 算法：贪心，双指针思路：记录每个字母的最后出现的位置，再遍历整个字符串，用一个指针start和end记录当前区间的起止位置，目标区间应该是能使得区间内的所有字母都只出现在区间内的最短的区间，所以再遍历一次S，设置end = max(end, last[char]),当前位置 == end时，就说明一段区间已经添加完了，ans append进去，更新start为end + 1 为下一区段的开始处说是贪心就是因为是处理完一小段再处理一小段，前后还没关系 """ last = {char: position for position, char in enumerate(S)} start = end = 0 ans = [] for position, char in enumerate(S): end = max(end, last[char]) if position == end: ans.append(end - start + 1) start = end + 1 return ans

[ "457261336@qq.com" ]

457261336@qq.com

6aecf7de4273913f02af82ef752225319d622d37

ddf002d1084d5c63842a6f42471f890a449966ee

/basics/Python/PYTHON --------/Loops/for_perfect_number.py

12c1710e98af7953b5053badaf4ec9ed6496e5f7

[]

no_license

RaghavJindal2000/Python

0ab3f198cbc5559bdf46ac259c7136356f7f09aa

8e5c646585cff28ba3ad9bd6c384bcb5537d671a

refs/heads/master

2023-01-01T23:56:02.073029

2020-10-18T19:30:01

263,262,452

0

null

UTF-8

Python

false

185

py

num=int(input("Enter the Number : ")) sum=0 for i in range(1,int(num/2)+1): if(num%i==0): sum=sum+i if(sum==num): print("Perfect Number") else: print("Not Perfect Number") input()

[ "40332753+RaghavJindal2000@users.noreply.github.com" ]

40332753+RaghavJindal2000@users.noreply.github.com

a77a33ec7d947da341e4206109d82d8d7f44e697

11aaeaeb55d587a950456fd1480063e1aed1d9e5

/.history/test_20190626133340.py

12865a307e437ef3704eed2ac3124c68bd758365

[]

no_license

Gr4cchus/Learn-Python-3-The-Hard-Way

8ce9e68f6a91ea33ea45fe64bfff82d65422c4a8

f5fa34db16cdd6377faa7fcf45c70f94bb4aec0d

refs/heads/master

2020-05-17T23:18:29.483160

2019-06-26T18:42:52

184,023,439

0

null

UTF-8

Python

false

2,413

py

import random # # class Foo: # # answer = 42 # # f1 = Foo() # # f2 = Foo() # # print(f1.answer) # # print(f2.answer) # # # both will print 42 # # f1.answer = 84 # # Foo.answer = 21 # # print(f1.answer) # 84 # # print(f2.answer) # 21 # class Foo: # def __init__(self): # self.answer = 42 # f1 = Foo() # f2 = Foo() # # f2.answer = 4000 # Foo.answer = 21 # # f1.answer = 2000 # print(f1.answer) # print(f2.answer) # # both will print 42 still class Scenes(object): # def __init__(self): # # self.starting_room = starting_room # # self.locations = { # # 'room1': Room1(), # # 'room2': Room2() # # } map_list = [ 'room1', 'room2', 'finish' ] def start(self): print("You are at the start") print("Where would you like to go") self.locations() def room1(self): print("You enter room 1") print("Where would you like to go") self.locations() def room2(self): print("You enter room 2") print("Where would you like to go") self.locations() def finish(self): print("You have finished") exit(0) def locations(self): print("def locations:", self.map_list) for i in self.map_list: print(i) cmd = { 'room1': room1, 'room2': room2, } def guessing_game(self): n = random.randint(1,4) print("Oh no a mini-game.") print("Guess the number between 1-4. To pass") answer = 0 while answer =! n: answer = input("> ") print("wrong guess again!") if answer == n: print("Success") # class Map(Scenes): # a = Scenes() # map_dict = { # 'room1': a.room1(), # 'room2': a.room2(), # } # class Engine(): # def __init__(self, map): # self.map = map # def play(self): # while True: # # a = self.map.dict_locations # print('yes') thescenes = Scenes() # thelocations = Locations() # thedict = thelocations.map() # while True: # print("loop") # thelocations.map.dict_locations.get('room1') thescenes.start() while True: action = input("> ") if action in thescenes.map_list: print("success") thescenes.map_list[action](thescenes)

[ "ahivent@gmail.com" ]

ahivent@gmail.com

1f79efdb1f12760d507a1294acfc682189e2cc4f

200abee8ebb5fa255e594c8d901c8c68eb9c1a9c

/venv/01_Stepik/Python_Osnovi_i_primenenie/2.3_2.py

50544368335316c290b184d30ded2008229713e4

[]

no_license

Vestenar/PythonProjects

f083cbc07df57ea7a560c6b18efed2bb0dc42efb

f8fdf9faff013165f8d835b0ccb807f8bef6dac4

refs/heads/master

2021-07-20T14:14:15.739074

2019-03-12T18:05:38

163,770,129

0

null

UTF-8

Python

false

372

py

import itertools def primes(): num = 2 while True: if is_prime(num): yield num num += 1 def is_prime(num): if num == 2: return True if num % 2 == 0: return False for _ in range(3, num // 2, 2): if num % _ == 0: return False return True print(list(itertools.takewhile(lambda x : x <= 31, primes())))

[ "vestenar@gmail.com" ]

vestenar@gmail.com

e3740376355a7ad6d32d7fb3097ea9e1f04a6db2

4df3712caff818c0554e7fbe4b97dee5fcfd8675

/common/sendMail.py

e8175fd9a7b1c03e70da7d866819a40cdff5ba85

[]

no_license

Qingyaya/interface

456057a740bd77ba6c38eda27dd1aef658e0add9

3ae37816f52ad8c45e192596a854848d8e546b14

refs/heads/master

2020-03-22T07:16:04.171904

2018-12-05T05:20:25

139,690,021

0

null

UTF-8

Python

false

1,523

py

from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText import smtplib from common.ReadConfig import ReadConfig from common.Log import Log log=Log() rc=ReadConfig() def send_mail(report_file): sender=rc.get_email('sender') psw=rc.get_email('psw') receiver=rc.get_email('receiver') smtpserver=rc.get_email('smtp_server') port=rc.get_email('port') with open(report_file,'rb') as f: mailbody = f.read() # 定义邮件内容 msg = MIMEMultipart() body = MIMEText(mailbody, _subtype='html', _charset='utf-8') msg['Subject'] = u'自动化测试报告' msg['from'] = sender msg['To'] = ', '.join(eval(receiver)) msg.attach(body) # 添加附件 att = MIMEText(open(report_file, 'rb').read(), 'base64', 'utf-8') att['Content-Type'] = 'application/octet-stream' att['Content-Disposition'] = 'attachment; filename = "TestReport.html"' msg.attach(att) try: smtp = smtplib.SMTP_SSL(smtpserver, port) except: smtp = smtplib.SMTP() smtp.connect(smtpserver, port) # 用户名密码 try: smtp.login(sender, psw) smtp.sendmail(sender, eval(receiver), msg.as_string()) log.info('Send mail Success!!! test report email has send out!') except Exception as e: log.error('Send Mail Failed !!! error: %s' %e) smtp.quit() if __name__ == '__main__': report_file='E:\\IDScloud_ui_demo\\report\\20180517\\20180517100220.html' send_mail(report_file)

[ "dongchunyi@idscloud.cn" ]

dongchunyi@idscloud.cn

3035e52b9cc917ae6870cd17760f97e41ca9995c

b5a9d42f7ea5e26cd82b3be2b26c324d5da79ba1

/tensorflow/python/keras/applications/mobilenet.py

97c6b85882e6ea224b0201820317c92823c32ddd

[ "Apache-2.0" ]

permissive

uve/tensorflow

e48cb29f39ed24ee27e81afd1687960682e1fbef

e08079463bf43e5963acc41da1f57e95603f8080

refs/heads/master

2020-11-29T11:30:40.391232

2020-01-11T13:43:10

230,088,347

0

Apache-2.0

2019-12-25T10:49:15

2019-12-25T10:49:14

null

UTF-8

Python

false

1,662

py

# Copyright 2015 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # pylint: disable=invalid-name """MobileNet v1 models for Keras. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from keras_applications import mobilenet from tensorflow.python.keras.applications import keras_modules_injection from tensorflow.python.util.tf_export import keras_export @keras_export('keras.applications.mobilenet.MobileNet', 'keras.applications.MobileNet') @keras_modules_injection def MobileNet(*args, **kwargs): return mobilenet.MobileNet(*args, **kwargs) @keras_export('keras.applications.mobilenet.decode_predictions') @keras_modules_injection def decode_predictions(*args, **kwargs): return mobilenet.decode_predictions(*args, **kwargs) @keras_export('keras.applications.mobilenet.preprocess_input') @keras_modules_injection def preprocess_input(*args, **kwargs): return mobilenet.preprocess_input(*args, **kwargs)

[ "v-grniki@microsoft.com" ]

v-grniki@microsoft.com

b516fc14e72cd98ba60397e18718e0b2b396a2e6

b43cee0973a455a58b74233d4e02d522587f93ae

/skillbox/basic/module22/war_peace.py

1871dfaea75c70bd1b4c14d260a3e1c153729316

[]

no_license

ivadimn/py-input

5861cc92758378f44433bd6b1af7ba78da04d1c0

bbfdd74c4dffe66440490d79082de2c0318e5027

refs/heads/master

2023-08-15T03:34:01.916026

2023-07-24T14:48:08

202,401,715

0

null

UTF-8

Python

false

1,134

py

import zipfile import string def frequency(text: str) -> dict: len_text = len(text) symbols = set(text) freq = {ch: text.count(ch) / len_text for ch in sorted(symbols)} return {key : freq[key] for key in sorted(freq, key=freq.get)} exclude = string.punctuation + " 0123456789" + \ "\u3002\u201e\u201c\u201f\u201d\u301e\u301f\u00ab\u00bb\u00b7\u00a8" + \ "\u2116\u00a0\u00b0\u00ac\u0227\u2007\u2026\u2012\u2013\u2014\n\r\t" table = "".maketrans("", "", exclude) zip_file = zipfile.ZipFile("voyna-i-mir.zip") print(zip_file.namelist()) text = "" for fileName in zip_file.namelist(): bytes = zip_file.read(fileName) content = bytes.decode("UTF-8") content = content.translate(table) text = text.join(content) zip_file.close() freq_table = frequency(text) freq_file = open("wp_analysis.txt", "w") print("\nСдержимое файла wp_analysis.txt: \n") for k, v in freq_table.items(): if k.isalpha(): line = "{0} {1}\n".format(k, v) else: line = "{0} {1}\n".format(ord(k), v) print(line, end = "") freq_file.write(line) print() freq_file.close()

[ "ivadimn@mail.ru" ]

ivadimn@mail.ru

d674d9782d314530754af4814fa59a5ad03c66f8

630681b5a80acdad9b5597449559ecf89e917aa0

/env/bin/cftp

e46f526ce10262450281bfedc3754cf60aefe6d6

[]

no_license

stuartses/trivia

ed5cd090fe7143159c8ed669edd5540de5f9f0f4

203b9ff4b3834d4f4a58c23f573187d0f960a64c

refs/heads/master

2022-12-17T15:57:09.735439

2020-09-20T16:32:24

296,960,114

0

null

UTF-8

Python

false

411

#!/home/stuartes/repositories/chat/env/bin/python3 # EASY-INSTALL-ENTRY-SCRIPT: 'Twisted==20.3.0','console_scripts','cftp' __requires__ = 'Twisted==20.3.0' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit( load_entry_point('Twisted==20.3.0', 'console_scripts', 'cftp')() )

[ "stuart.ses@hotmail.com" ]

stuart.ses@hotmail.com

b6357591f310a910f5139ea6c1aafba52ff7d277

d9d0d3a82d5ba4016097491c276409b9b1ea778a

/Kattis/relocation.py

99a38f2674f48771aab4f6fdf4bd413803ff3370

[ "MIT" ]

permissive

ruidazeng/online-judge

311b9f2c3120b47da91da2d404e2ea1d9a2a24dd

6bdf8bbf1af885637dab474d0ccb58aff22a0933

refs/heads/master

2022-02-16T00:35:11.852600

2022-01-26T02:28:53

191,827,952

0

1

MIT

2019-07-31T10:25:36

2019-06-13T20:21:18

Python

UTF-8

Python

false

273

py

_, Q = map(int, input().split()) companies = [int(x) for x in input().split()] for _ in range(Q): indicator, x, y = map(int, input().split()) if indicator == 1: companies[x-1] = y elif indicator == 2: print(abs(companies[x-1] - companies[y-1]))

[ "ruida.zeng@vanderbilt.edu" ]

ruida.zeng@vanderbilt.edu

94a882b3ad4cf2c8ce3f7d515284b7b95e0bbeda

06ba98f4e71e2e6e04e9e381987333a743511818

/history/migrations/0002_auto_20180803_0007.py

80603c86d738101b7f32f908e7b49fa21ff1e7da

[]

no_license

AnEvilHerbivore/Django-Music

e99c6f7936088a3baa42abeaea4b46361fb415cb

8f0b45d22053ca674f4dc8f963cb0da949469213

refs/heads/master

2022-12-10T10:08:35.831550

2018-08-03T19:12:42

141,728,372

0

null

2021-06-10T20:43:27

2018-07-20T15:24:59

Python

UTF-8

Python

false

1,053

py

# Generated by Django 2.0.1 on 2018-08-03 00:07 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('history', '0001_initial'), ] operations = [ migrations.AlterField( model_name='artist', name='biggest_hit', field=models.CharField(default='', max_length=100), ), migrations.AlterField( model_name='artist', name='birth_date', field=models.CharField(default='', max_length=100), ), migrations.AlterField( model_name='artist', name='name', field=models.CharField(default='', max_length=100), ), migrations.AlterField( model_name='song', name='album', field=models.CharField(default='', max_length=100), ), migrations.AlterField( model_name='song', name='title', field=models.CharField(default='', max_length=100), ), ]

[ "joeshepmedia@gmail.com" ]

joeshepmedia@gmail.com

098396a34b3be24ef43d0b1428dcb079fb5c911a

c31ee8136a57a96649196081e1cfde0676c2a481

/larcv/app/tests/test_matrixmult.py

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[ "MIT" ]

permissive

DeepLearnPhysics/larcv2

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refs/heads/develop

2023-06-11T03:15:51.679864

2023-05-30T17:51:19

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2023-04-10T10:15:13

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import os,sys import ROOT import numpy as np from larcv import larcv print larcv.Image2D # TESTS MATRIX MULTIPLICATION FEATURE a = np.random.rand(6,5) b = np.random.rand(5,8) aI = larcv.Image2D( a.shape[0], a.shape[1] ) bI = larcv.Image2D( b.shape[0], b.shape[1] ) arows = a.shape[0] acols = a.shape[1] brows = b.shape[0] bcols = b.shape[1] for r in range(0,arows): for c in range(0,acols): aI.set_pixel( r, c, a[r,c] ) for r in range(0,brows): for c in range(0,bcols): bI.set_pixel( r, c, b[r,c] ) C = np.dot(a,b) CI = aI*bI crows = CI.meta().rows() ccols = CI.meta().cols() print "A diff" Adiff = np.zeros( a.shape ) for r in range(0,arows): for c in range(0,acols): Adiff[r,c] = aI.pixel(r,c)-a[r,c] print Adiff print "B diff" Bdiff = np.zeros( b.shape ) for r in range(0,brows): for c in range(0,bcols): Bdiff[r,c] = bI.pixel(r,c)-b[r,c] print Bdiff print "CDiff" Cdiff = np.zeros( C.shape ) for r in range(0,crows): for c in range(0,ccols): Cdiff[r,c] = CI.pixel(r,c)-C[r,c] print Cdiff

[ "kazuhiro@nevis.columbia.edu" ]

kazuhiro@nevis.columbia.edu

078153fca42249d9d1fb37d3cd7526a82fef59bc

fa2ab3d980aeff387edc556121b124fd68078789

/ConditionalPrograms/ShippingAccount.py

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MiguelCF06/PythonProjects

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refs/heads/master

2022-10-17T23:22:04.357296

2020-06-10T18:03:38

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print("Welcome to the Shipping Accounts Program\n") username = ["mikeL", "Omar293", "JJlk", "JoelW"] user = input("Hello, what is your username: ") if user not in username: print("Sorry, you do not have an account with us. Goodbye.") else: print("Hello {}. Welcome back to your account.".format(user)) print("Current shipping prices are as follows:\n") print("Shipping orders 0 to 100:\t\t$5.10 each") print("Shipping orders 100 to 500:\t\t$5.00 each") print("Shipping orders 500 to 1000:\t$4.95 each") print("Shipping orders over 1000:\t\t$4.80 each\n") amount = int(input("How many items would you like to ship: ")) if amount <= 0: print("Nothing to do.") if amount > 0 and amount <= 100: items = 5.10 price = items * amount print("To ship {} items it will cost you ${} at $5.10 per item.".format(amount, price)) elif amount > 100 and amount <= 500: items = 5.00 price = items * amount print("To ship {} items it will cost you ${} at $5.00 per item.".format(amount, price)) elif amount > 500 and amount <= 1000: items = 4.95 price = items * amount print("To ship {} items it will cost you ${} at $4.95 per item.".format(amount, price)) else: items = 4.80 price = items * amount print("To ship {} items it will cost you ${} at $4.80 per item.".format(amount, price)) print() answer = input("Would you like to place this order (y/n): ") if answer == "n" or answer == "N": print("Okay, no order is being placed at this time.") elif answer == "y" or answer == "Y": print("Okay. Shipping your {} items.".format(amount))

[ "miguel.cipamocha@gmail.com" ]

miguel.cipamocha@gmail.com

a3739687fd238c1cd2484eca5cf46e5c9c27e987

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/sampledb/models/migrations/publications_add_object_name.py

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[ "MIT" ]

permissive

maltedeckers/sampledb

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refs/heads/master

2023-08-22T04:25:47.826698

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# coding: utf-8 """ Add object_name column to object_publications table. """ import os MIGRATION_INDEX = 27 MIGRATION_NAME, _ = os.path.splitext(os.path.basename(__file__)) def run(db): # Skip migration by condition column_names = db.session.execute(""" SELECT column_name FROM information_schema.columns WHERE table_name = 'object_publications' """).fetchall() if ('object_name',) in column_names: return False # Perform migration db.session.execute(""" ALTER TABLE object_publications ADD object_name TEXT NULL """) return True

[ "f.rhiem@fz-juelich.de" ]

f.rhiem@fz-juelich.de

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/0x0B-python-input_output/4-append_write.py

6d1d834297f4e5478a9ff2f4ab4921ad9f4a8ea5

[]

no_license

Nukemenonai/holbertonschool-higher_level_programming

85ba3e61517ee48a2e73980c915e7033e8090f06

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refs/heads/master

2020-09-29T00:21:47.583303

2020-08-30T22:40:59

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#!/usr/bin/python3 def append_write(filename="", text=""): """ writes a string UTF8 to a text file returns the number of characters written filename: name of the file. text: the text to insert appends """ with open(filename, 'a') as f: n = f.write(text) f.close() return n

[ "david.giovanni.ovalle@gmail.com" ]

david.giovanni.ovalle@gmail.com

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a6ffe7990cb5690a20566f64e343441e79d4d11a

/leetcode/10. 正则表达式匹配.py

213fb81272bf7ae50cc592b1ef1bb296b8415fac

[]

no_license

ywcmaike/OJ_Implement_Python

26b907da4aece49d3833382f80665a6263cbf0ec

48e99509e675a6708a95a40912f0f0f022a08d73

refs/heads/master

2022-11-26T17:35:22.066443

2020-08-02T16:19:25

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#!/usr/bin/env python #-*- coding:utf-8 -*- # author:maike # datetime:2020/7/22 下午6:44 import sys if __name__ == "__main__": # 读取第一行的n n = int(sys.stdin.readline().strip()) ans = 0 for i in range(n): # 读取每一行 line = sys.stdin.readline().strip() # 把每一行的数字分隔后转化成int列表 values = list(map(int, line.split())) for v in values: ans += v print(ans) if __name__ == '__main__':

[ "2755289083@qq.com" ]

2755289083@qq.com

441d888c4903420479c5f874867acad5a6233fe8

5cf3f04bdee5a17d7e4b7e14294047ce3d1dc40a

/guess_dice/middleware/ipAddress.py

b57a807ddfe48e91f76edc72a7e66852d8f71596

[]

no_license

gzgdouru/guess_dice_site

bc2e4b284d5c0399232247ecc7634341199b5ad7

03bfadef8412a8d1d7506c1bfb5e58aee68ba343

refs/heads/master

2020-04-06T12:45:09.757664

2018-12-29T14:15:41

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from django.utils.deprecation import MiddlewareMixin from analysis.models import ClientIp class MarkVisitIpMiddleware(MiddlewareMixin): def process_request(self, request): try: realIp = request.META["HTTP_X_FORWARDED_FOR"] realIp = realIp.split(",")[0] except: realIp = request.META["REMOTE_ADDR"] url = request.path if realIp != "127.0.0.1": ClientIp(ip=realIp, url=url).save()

[ "18719091650@163.com" ]

18719091650@163.com

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f090c3e0faa70cf0ef7c4be99cb894630bce2842

/scripts/dataAnalysis/EnergyTransport/2013Aug04/individual_fits/function of heating time/fitter_script_dsplaced_2212_50_ion2.py

76cd7f8d1e7e158da7d9e4d47a24dc31d87797e8

[]

no_license

HaeffnerLab/resonator

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7c2e377fdc45f6c1ad205f8bbc2e6607eb3fdc71

refs/heads/master

2021-01-09T20:48:03.587634

2016-09-22T18:40:17

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py

import lmfit import labrad from labrad import types as T from lamb_dicke import lamb_dicke from rabi_flop_fitter import rabi_flop_time_evolution import numpy as np from matplotlib import pyplot ''' script parameters ''' info = ('Carrier Flops', ('2013Sep04','2212_50')) ion_selection = 2 trap_frequency = T.Value(3.0, 'MHz') projection_angle = 45 #degrees offset_time = 0.0 sideband_order = -1 fitting_region = (0, 40) #microseconds ''' compute lamb dicke parameter ''' eta = lamb_dicke.lamb_dicke(trap_frequency, projection_angle) print 'Lamb Dicke parameter: {0:.2f}'.format(eta) ''' initialize the fitter ''' flop = rabi_flop_time_evolution(sideband_order, eta) ''' create fitting parameters ''' params = lmfit.Parameters() params.add('excitation_scaling', value = 1.0, vary = False) params.add('detuning', value = 0, vary = 0) #units of rabi frequency params.add('time_2pi', value = 1.532954, vary = 0) #microseconds params.add('nbar', value = 3.699035, min = 0.0, max = 200.0, vary= 0) params.add('alpha', value = 1.0, min = 0.0, max = 200.0, vary = 1) ''' load the dataset ''' dv = labrad.connect().data_vault title,dataset = info date,datasetName = dataset dv.cd( ['','Experiments','Blue Heat RabiFlopping',date,datasetName] ) dv.open(1) times,prob = dv.get().asarray.transpose()[[0, 1 + ion_selection],:] print 'heat duration', dict(dv.get_parameters())['Heating.blue_heating_duration'] tmin,tmax = times.min(), times.max() detailed_times = np.linspace(tmin, tmax, 1000) ''' compute time evolution of the guessed parameters ''' guess_evolution = flop.compute_evolution_coherent(params['nbar'].value , params['alpha'].value, params['detuning'].value, params['time_2pi'].value, detailed_times - offset_time, excitation_scaling = params['excitation_scaling'].value) ''' define how to compare data to the function ''' def rabi_flop_fit_thermal(params , t, data): model = flop.compute_evolution_coherent(params['nbar'].value , params['alpha'].value, params['detuning'].value, params['time_2pi'].value, t - offset_time, excitation_scaling = params['excitation_scaling'].value) return model - data ''' perform the fit ''' region = (fitting_region[0] <= times) * (times <= fitting_region[1]) result = lmfit.minimize(rabi_flop_fit_thermal, params, args = (times[region], prob[region])) fit_values = flop.compute_evolution_coherent(params['nbar'].value , params['alpha'].value, params['detuning'].value, params['time_2pi'].value, detailed_times - offset_time, excitation_scaling = params['excitation_scaling'].value) lmfit.report_errors(params) ''' make the plot ''' pyplot.figure() pyplot.plot(detailed_times, guess_evolution, '--k', alpha = 0.5, label = 'initial guess') pyplot.plot(times, prob, 'ob', label = 'data') pyplot.plot(detailed_times, fit_values, 'r', label = 'fitted') pyplot.legend() pyplot.title(title) pyplot.xlabel('time (us)') pyplot.ylabel('D state occupation probability') pyplot.text(max(times)*0.70,0.68, 'detuning = {0}'.format(params['detuning'].value)) pyplot.text(max(times)*0.70,0.73, 'nbar = {:.0f}'.format(params['nbar'].value)) pyplot.text(max(times)*0.70,0.78, '2 Pi Time = {:.1f} us'.format(params['time_2pi'].value)) pyplot.show()

[ "soenkeamoeller@gmail.com" ]

soenkeamoeller@gmail.com

0c5dad8fd3938d30a3086f85c582ec0892a2191f

3f46af2da32d9f02d1ebbdef6784ece1d64aace3

/Production/python/PrivateSamples/EMJ_2016_mMed-1600_mDark-20_ctau-225_unflavored-down_cff.py

108dad647638d680e89dd21aef1f1b6a9bff01af

[]

no_license

cms-svj/TreeMaker

53bf4b1e35d2e2a4fa99c13c2c8b60a207676b6d

0ded877bcac801a2a394ad90ed987a20caa72a4c

refs/heads/Run2_2017

2023-07-19T07:14:39.175712

2020-10-06T21:10:26

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null

2021-01-26T18:58:54

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import FWCore.ParameterSet.Config as cms maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1) ) readFiles = cms.untracked.vstring() secFiles = cms.untracked.vstring() source = cms.Source ("PoolSource",fileNames = readFiles, secondaryFileNames = secFiles) readFiles.extend( [ 'gsiftp://hepcms-gridftp.umd.edu//mnt/hadoop/cms/store/group/EMJRunII/2016/step4_MINIAOD_mMed-1600_mDark-20_ctau-225_unflavored-down_n-500_part-1.root', 'gsiftp://hepcms-gridftp.umd.edu//mnt/hadoop/cms/store/group/EMJRunII/2016/step4_MINIAOD_mMed-1600_mDark-20_ctau-225_unflavored-down_n-500_part-2.root', 'gsiftp://hepcms-gridftp.umd.edu//mnt/hadoop/cms/store/group/EMJRunII/2016/step4_MINIAOD_mMed-1600_mDark-20_ctau-225_unflavored-down_n-500_part-3.root', 'gsiftp://hepcms-gridftp.umd.edu//mnt/hadoop/cms/store/group/EMJRunII/2016/step4_MINIAOD_mMed-1600_mDark-20_ctau-225_unflavored-down_n-500_part-4.root', 'gsiftp://hepcms-gridftp.umd.edu//mnt/hadoop/cms/store/group/EMJRunII/2016/step4_MINIAOD_mMed-1600_mDark-20_ctau-225_unflavored-down_n-500_part-5.root', 'gsiftp://hepcms-gridftp.umd.edu//mnt/hadoop/cms/store/group/EMJRunII/2016/step4_MINIAOD_mMed-1600_mDark-20_ctau-225_unflavored-down_n-500_part-6.root', 'gsiftp://hepcms-gridftp.umd.edu//mnt/hadoop/cms/store/group/EMJRunII/2016/step4_MINIAOD_mMed-1600_mDark-20_ctau-225_unflavored-down_n-500_part-7.root', 'gsiftp://hepcms-gridftp.umd.edu//mnt/hadoop/cms/store/group/EMJRunII/2016/step4_MINIAOD_mMed-1600_mDark-20_ctau-225_unflavored-down_n-500_part-8.root', 'gsiftp://hepcms-gridftp.umd.edu//mnt/hadoop/cms/store/group/EMJRunII/2016/step4_MINIAOD_mMed-1600_mDark-20_ctau-225_unflavored-down_n-500_part-9.root', 'gsiftp://hepcms-gridftp.umd.edu//mnt/hadoop/cms/store/group/EMJRunII/2016/step4_MINIAOD_mMed-1600_mDark-20_ctau-225_unflavored-down_n-500_part-10.root', ] )

[ "enochnotsocool@gmail.com" ]

enochnotsocool@gmail.com

32d00cbdf934957158d5c286facfeab2e5d2170f

af632a0d727cd350a3c95360bb1bb8a411051da7

/mysite/reading/migrations/0005_auto__add_field_text_synopsis.py

92b689114d31eff115b9e7fc5a753e368632936b

[]

no_license

rybesh/mysite

f760fec83f1b552abd62010cff4ada4c6fda66b0

c091284d802ef719d7535d9c8790f4c6e458f905

refs/heads/master

2016-09-05T18:01:31.200290

2014-07-23T15:36:09

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0

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# encoding: utf-8 import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding field 'Text.synopsis' db.add_column('reading_text', 'synopsis', self.gf('django.db.models.fields.TextField')(default=''), keep_default=False) def backwards(self, orm): # Deleting field 'Text.synopsis' db.delete_column('reading_text', 'synopsis') models = { 'reading.note': { 'Meta': {'object_name': 'Note'}, 'created': ('django.db.models.fields.DateTimeField', [], {'unique': 'True', 'db_index': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'markdown': ('django.db.models.fields.TextField', [], {}), 'modified': ('django.db.models.fields.DateTimeField', [], {}), 'status': ('django.db.models.fields.CharField', [], {'max_length': '16'}), 'text': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'notes'", 'to': "orm['reading.Text']"}) }, 'reading.text': { 'Meta': {'object_name': 'Text'}, 'bibtex': ('django.db.models.fields.TextField', [], {}), 'citation_key': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '32', 'db_index': 'True'}), 'created': ('django.db.models.fields.DateTimeField', [], {}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'image': ('django.db.models.fields.files.ImageField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}), 'markdown': ('django.db.models.fields.TextField', [], {}), 'modified': ('django.db.models.fields.DateTimeField', [], {}), 'related_texts': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': "'related_texts_rel_+'", 'to': "orm['reading.Text']"}), 'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '80', 'db_index': 'True'}), 'small_image': ('django.db.models.fields.files.ImageField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}), 'status': ('django.db.models.fields.CharField', [], {'max_length': '16'}), 'synopsis': ('django.db.models.fields.TextField', [], {}) } } complete_apps = ['reading']

[ "ryanshaw@unc.edu" ]

ryanshaw@unc.edu

fd5cb1e3cc6d7bf3bc992db71056e2364fb1b3ab

2f98aa7e5bfc2fc5ef25e4d5cfa1d7802e3a7fae

/python/python_6845.py

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[]

no_license

AK-1121/code_extraction

cc812b6832b112e3ffcc2bb7eb4237fd85c88c01

5297a4a3aab3bb37efa24a89636935da04a1f8b6

refs/heads/master

2020-05-23T08:04:11.789141

2015-10-22T19:19:40

null

0

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Python

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py

# Efficient way to format string "select %(tableName)s.somefield, count(*) from %(tableName)s WHERE %(tableName)s.TimeStamp > %(fromDate)s and %(tableName)s.EndTimeStamp < %(to_data)s group by %(tableName)s.ProviderUsername;" %{'tableName':tableName, 'fromDate':fromDate, 'to_data':to_data}

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

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

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/from Stephen/google list/752. Open the Lock (pass, bfs).py

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[]

no_license

kanglicheng/CodeBreakersCode

71b833bb9f4c96d520c26f0044365dc62137a940

31f7f730227a0e10951e7468bad1b995cf2eafcb

refs/heads/master

2023-08-07T20:32:05.267695

2020-09-14T14:36:25

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2020-05-22T00:05:29

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class Solution: def openLock(self, deadends: List[str], target: str) -> int: ''' shortest path -> BFS ''' def toString(cur): _str = "" for v in cur: _str += str(v) return _str def checkDeadEnds(deadendsSet, _str): if _str in deadendsSet: return False return True def findNextStep(deadendsSet, curLock, visited): directions = [[1,0,0,0], [-1,0,0,0], [0,1,0,0], [0,-1,0,0], [0,0,1,0], [0,0,-1,0], [0,0,0,1], [0,0,0,-1]] nextSteps = [] for d in directions: cur = [curLock[0] + d[0], curLock[1] + d[1], curLock[2] + d[2], curLock[3] + d[3]] for i in range(0, 4): if cur[i] == -1: cur[i] = 9 elif cur[i] == 10: cur[i] = 0 _str = toString(cur) if checkDeadEnds(deadendsSet, _str) and _str not in visited: nextSteps.append(cur) visited.add(_str) return nextSteps deadendsSet = set() for d in deadends: deadendsSet.add(d) lock = [0,0,0,0] if toString(lock) in deadendsSet: return -1 q = collections.deque() q.append(lock) moves = 0 visited = set() while len(q) > 0: curSize = len(q) for i in range(0, curSize): cur = q.pop() if toString(cur) == target: return moves nextSteps = findNextStep(deadendsSet, cur, visited) q.extendleft(nextSteps) moves += 1 return -1

[ "56766457+Wei-LiHuang@users.noreply.github.com" ]

56766457+Wei-LiHuang@users.noreply.github.com

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/notebooks/Papers/paper2/packages/lc/base.py

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[]

no_license

ishrat2003/IS-Goldsmiths

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afae9525ceb62cd09eb14149ee2b88798c5ceb90

refs/heads/master

2020-04-27T09:24:10.399620

2019-10-16T21:23:13

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UTF-8

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import re, sys, numpy from nltk import word_tokenize, pos_tag from nltk.stem.porter import PorterStemmer import utility from sklearn.cluster import KMeans import matplotlib as mpl import matplotlib.pyplot as plt from matplotlib.pylab import rcParams class Base(): def __init__(self, text, filterRate = 0): self.rawText = text self.text = self.__clean(text) self.stopWords = utility.Utility.getStopWords() self.stemmer = PorterStemmer() self.wordInfo = {} self.featuredWordInfo = {} self.allowedPOSTypes = ['NN', 'NNP', 'NNS', 'NNPS'] self.minWordSize = 2 self.sentences = [] self.punctuationTypes = ['.', '?', '!'] self.maxCount = 1 self.maxScore = 0 self.filterRate = filterRate self.topScorePercentage = filterRate self.filteredWords = {} self.contributors = [] return ''' allOptions = ['NN', 'NNP', 'NNS', 'NNPS', 'JJ', 'JJR', 'JJS' 'RB', 'RBR', 'RBS', 'VB', 'VBD', 'VBG', 'VBN', 'VBP', 'VBZ'] ''' def setAllowedPosTypes(self, allowedPOSTypes): self.allowedPOSTypes = allowedPOSTypes return def setFilterWords(self, filterRate = 0.2): self.filterRate = filterRate self.loadFilteredWords() return def setTopScorePercentage(self, topScorePercentage): self.topScorePercentage = topScorePercentage return def getRawText(self): return self.rawText def getCleanText(self): return self.text def getContrinutors(self): return self.contributors def getWordInfo(self): return self.wordInfo def getSentences(self): return self.sentences def loadFilteredWords(self): minAllowedScore = self.maxCount * self.filterRate self.filteredWords = {} for word in self.wordInfo: if self.wordInfo[word]['count'] <= minAllowedScore: continue index = len(self.filteredWords) self.filteredWords[word] = self.wordInfo[word] self.filteredWords[word]['index'] = index print('----------------------') print("Total local vocab: ", len(self.wordInfo)) print("Filtered local vocab: ", len(self.filteredWords)) return self.filteredWords def loadSentences(self, text): words = self.__getWords(text, True) self.wordInfo = {} self.sentences = [] currentSentence = [] for word in words: (word, type) = word word = self.__cleanWord(word) if type in self.punctuationTypes: if len(currentSentence) > 1: # If more than one word than add as sentence self.sentences.append(currentSentence) currentSentence = [] if len(word) < self.minWordSize: continue wordKey = self._addWordInfo(word, type) if wordKey and (wordKey not in currentSentence): currentSentence.append(wordKey) # Processing last sentence if len(currentSentence) > 1: # If more than one word than add as sentence self.sentences.append(currentSentence) self.filteredWords = self.wordInfo return self.sentences def displayPlot(self, fileName): #rcParams['figure.figsize']=15,10 mpl.rcParams.update({'font.size': 15}) points = self.getPoints() if not points: print('No points to display') return plt.figure(figsize=(20, 20)) # in inches(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=None, edgecolors=None, *, data=None, **kwargs)[source] for point in points: plt.scatter(point['x'], point['y'], c = point['color']) plt.annotate(point['label'], xy=(point['x'], point['y']), xytext=(5, 2), textcoords='offset points', ha='right', va='bottom') plt.savefig(fileName) print('After saving') plt.show() return def getPoints(self): if not len(self.wordInfo): return None topWordScores = self.maxScore * self.topScorePercentage points = [] for word in self.filteredWords: point = {} point['x'] = self._getX(word) point['y'] = self._getY(word) point['color'] = 'green' point['label'] = self.filteredWords[word]['pure_word'] point['type'] = self.filteredWords[word]['type'] if self.isTopic(word, topWordScores): point['color'] = 'red' self.contributors.append(word) points.append(point) return points def isTopic(self, word, topWordScores): return (self.filteredWords[word]['score'] >= topWordScores) def _getX(self, word): return 0 def _getY(self, word): return 0 def _addWordInfo(self, word, type): if not word or (type not in self.allowedPOSTypes): return None localWordInfo = {} localWordInfo['pure_word'] = word wordKey = self.stemmer.stem(word.lower()) localWordInfo['stemmed_word'] = wordKey localWordInfo['type'] = type if localWordInfo['stemmed_word'] in self.wordInfo.keys(): self.wordInfo[wordKey]['count'] += 1 if self.maxCount < self.wordInfo[wordKey]['count']: self.maxCount = self.wordInfo[wordKey]['count'] return wordKey localWordInfo['count'] = 1 localWordInfo['index'] = len(self.wordInfo) self.wordInfo[wordKey] = localWordInfo return wordKey def __getWords(self, text, tagPartsOfSpeach = False): words = word_tokenize(text) if tagPartsOfSpeach: return pos_tag(words) return words def __cleanWord(self, word): return re.sub('[^a-zA-Z0-9]+', '', word) def __clean(self, text): text = re.sub('<.+?>', '. ', text) text = re.sub('&.+?;', '', text) text = re.sub('[\']{1}', '', text) text = re.sub('[^a-zA-Z0-9\s_\-\?:;\.,!\"]+', ' ', text) text = re.sub('\s+', ' ', text) text = re.sub('(\.\s*)+', '. ', text) return text

[ "ishrat@thebyte9.com" ]

ishrat@thebyte9.com

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fc43470de13ff8f03105efc2a3660a1ed6a1a553

/BAEKJOON/2504_괄호의값.py

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[]

no_license

youseop/Problem_solutions

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1fba638d9520bca4354bca01f194f80b159e26aa

refs/heads/master

2023-06-24T05:12:45.060086

2021-07-24T14:22:33

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import sys read=sys.stdin.readline bracket = read().strip() stack = [] for i in bracket: if i =='(' or i =='[': stack.append(i) elif i == ']': sum = 0 while stack: tmp = stack.pop() if type(tmp) == type(1): sum+=tmp elif tmp == '[': if sum==0: stack.append(3) else: stack.append(sum*3) break else: print(0) exit() else: sum = 0 while stack: tmp = stack.pop() if type(tmp) == type(1): sum+=tmp elif tmp == '(': if sum==0: stack.append(2) else: stack.append(sum*2) break else: print(0) exit() br=['(',')','[',']'] if any(i in stack for i in br): print(0) else: sum=0 for i in stack: sum+=i print(sum)

[ "66366941+youseop@users.noreply.github.com" ]

66366941+youseop@users.noreply.github.com

b11c66101b1e09ca12e76d8ce55d6ede96feff43

75f28905cc9d87d82be68a37a18beee8d6f21869

/user_messages/urls.py

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[]

no_license

Pavlenkovv/Cafe-heroku

f189bbd817a8736b43531bc5d73895fa436a8040

e0e9b67247a3375e6f599b2dfcd77b1ccce9e5fb

refs/heads/main

2023-02-27T14:48:24.549261

2021-01-29T12:55:19

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from django.urls import path from .views import * urlpatterns = [ path ('', home, name='messages_info'), path('update/<int:pk>/', update_messages, name='update') ]

[ "pavlenko.vyacheslav@gmail.com" ]

pavlenko.vyacheslav@gmail.com

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/experiments/output_perturbation/scikit-learn/examples/preprocessing/plot_discretization_strategies.py

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permissive

amzn/differential-privacy-bayesian-optimization

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refs/heads/master

2023-03-13T04:10:22.753152

2022-10-03T19:26:44

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# -*- coding: utf-8 -*- """ ========================================================== Demonstrating the different strategies of KBinsDiscretizer ========================================================== This example presents the different strategies implemented in KBinsDiscretizer: - 'uniform': The discretization is uniform in each feature, which means that the bin widths are constant in each dimension. - quantile': The discretization is done on the quantiled values, which means that each bin has approximately the same number of samples. - 'kmeans': The discretization is based on the centroids of a KMeans clustering procedure. The plot shows the regions where the discretized encoding is constant. """ # Author: Tom Dupré la Tour # License: BSD 3 clause import numpy as np import matplotlib.pyplot as plt from sklearn.preprocessing import KBinsDiscretizer from sklearn.datasets import make_blobs print(__doc__) strategies = ['uniform', 'quantile', 'kmeans'] n_samples = 200 centers_0 = np.array([[0, 0], [0, 5], [2, 4], [8, 8]]) centers_1 = np.array([[0, 0], [3, 1]]) # construct the datasets random_state = 42 X_list = [ np.random.RandomState(random_state).uniform(-3, 3, size=(n_samples, 2)), make_blobs(n_samples=[n_samples // 10, n_samples * 4 // 10, n_samples // 10, n_samples * 4 // 10], cluster_std=0.5, centers=centers_0, random_state=random_state)[0], make_blobs(n_samples=[n_samples // 5, n_samples * 4 // 5], cluster_std=0.5, centers=centers_1, random_state=random_state)[0], ] figure = plt.figure(figsize=(14, 9)) i = 1 for ds_cnt, X in enumerate(X_list): ax = plt.subplot(len(X_list), len(strategies) + 1, i) ax.scatter(X[:, 0], X[:, 1], edgecolors='k') if ds_cnt == 0: ax.set_title("Input data", size=14) xx, yy = np.meshgrid( np.linspace(X[:, 0].min(), X[:, 0].max(), 300), np.linspace(X[:, 1].min(), X[:, 1].max(), 300)) grid = np.c_[xx.ravel(), yy.ravel()] ax.set_xlim(xx.min(), xx.max()) ax.set_ylim(yy.min(), yy.max()) ax.set_xticks(()) ax.set_yticks(()) i += 1 # transform the dataset with KBinsDiscretizer for strategy in strategies: enc = KBinsDiscretizer(n_bins=4, encode='ordinal', strategy=strategy) enc.fit(X) grid_encoded = enc.transform(grid) ax = plt.subplot(len(X_list), len(strategies) + 1, i) # horizontal stripes horizontal = grid_encoded[:, 0].reshape(xx.shape) ax.contourf(xx, yy, horizontal, alpha=.5) # vertical stripes vertical = grid_encoded[:, 1].reshape(xx.shape) ax.contourf(xx, yy, vertical, alpha=.5) ax.scatter(X[:, 0], X[:, 1], edgecolors='k') ax.set_xlim(xx.min(), xx.max()) ax.set_ylim(yy.min(), yy.max()) ax.set_xticks(()) ax.set_yticks(()) if ds_cnt == 0: ax.set_title("strategy='%s'" % (strategy, ), size=14) i += 1 plt.tight_layout() plt.show()

[ "tdiethe@amazon.com" ]

tdiethe@amazon.com

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/python/array/0054_Spiral_Matrix.py

72264e152eccf0198675fc6229fbbc7746b9e527

[]

no_license

lizzzcai/leetcode

97089e4ca8c3c53b5a4a50de899591be415bac37

551cd3b4616c16a6562eb7c577ce671b419f0616

refs/heads/master

2021-06-23T05:59:56.928042

2020-12-07T03:07:58

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UTF-8

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py

""" 18/09/2019 54. Spiral Matrix - Medium Tag: Array Given a matrix of m x n elements (m rows, n columns), return all elements of the matrix in spiral order. Example 1: Input: [ [ 1, 2, 3 ], [ 4, 5, 6 ], [ 7, 8, 9 ] ] Output: [1,2,3,6,9,8,7,4,5] Example 2: Input: [ [1, 2, 3, 4], [5, 6, 7, 8], [9,10,11,12] ] Output: [1,2,3,4,8,12,11,10,9,5,6,7] """ from typing import List class Solution: def spiralOrder(self, matrix: List[List[int]]) -> List[int]: """ Time: O(n*m) Space: O(n*m) """ if not matrix: return [] d = [(1,0), (0,1), (-1,0), (0,-1)] m, n = len(matrix[0]), len(matrix) record = [[False for _ in range(m)] for _ in range(n)] print(f"m: {m}, n: {n}") idx = 0 x, y = 0, 0 res = [] #record[0][0] = True for _ in range(m*n): print(f"x: {x}, y: {y}") record[y][x] = True res.append(matrix[y][x]) print(f"value: {matrix[y][x]}") next_x, next_y = x + d[idx%4][0], y + d[idx%4][1] print(f"next_x: {next_x}, next_y: {next_y}") if (next_x < 0 or next_x > m-1) or (next_y < 0 or next_y > n-1) or record[next_y][next_x]: idx += 1 print(f"idx: {idx}") #if (0<= next_x <= m-1) and (0 <= next_y <= n-1) and not record[next_y][next_x]: x, y = x + d[idx%4][0], y + d[idx%4][1] return res # Unit Test import unittest class spiralOrderCase(unittest.TestCase): def setUp(self): pass def tearDown(self): pass def test_spiralOrder(self): func = Solution().spiralOrder self.assertEqual(func([ [ 1, 2, 3 ], [ 4, 5, 6 ], [ 7, 8, 9 ] ]), [1,2,3,6,9,8,7,4,5]) self.assertEqual(func([ [1, 2, 3, 4], [5, 6, 7, 8], [9,10,11,12] ]), [1,2,3,4,8,12,11,10,9,5,6,7]) self.assertEqual(func([ ]), []) if __name__ == '__main__': unittest.main()

[ "lilcolinn@gmail.com" ]

lilcolinn@gmail.com

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6bbcf512837bdcdfec3091b3337d54a8c455c7b9

/practice/Operators.py

af03cb45e6fa25e1e62edaac81ae702144e24ec8

[]

no_license

sachinlokesh05/Python-Core-Programs

a342ebdc7be070b66254e505df044fdaf03f147f

8eec5595b51203d559e1d6f0e40646e63ad3645a

refs/heads/master

2022-04-28T02:32:07.101993

2020-04-09T12:03:01

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0

null

UTF-8

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py

class Operators: a=None b=None c=None def __init__(self, a,b,c): self.__aa=a self.__bb=b self.__cc=c def operation(self): choice=int(input("enter choice of your: ")) if choice == 1: return (self.__aa + self.__bb * self.__cc) elif choice == 2: return (self.__cc + self.__aa / self.__cc) elif choice == 3: return (self.__aa % self.__bb + self.__cc) elif choice == 4 : return (self.__aa * self.__bb + self.__cc) else: print("Wrong choice") return self.operation() ap=Operators(1,2,5) print(''' 1. a + b * c 3. c + a / b 2. a % b + c 4. a * b + c ''') print(ap.operation())

[ "sachin.beee.15@acharya.ac.in" ]

sachin.beee.15@acharya.ac.in

55096585b424ea3637fe9d43bddf009256acc018

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/looker_client_31/looker_sdk/oidc_user_attribute_write.py

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[ "MIT" ]

permissive

ContrastingSounds/looker_sdk_31

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refs/heads/master

2020-03-19T20:31:24.785373

2018-06-11T09:41:36

136,802,021

0

null

UTF-8

Python

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py

# coding: utf-8 """ Experimental Looker API 3.1 Preview This API 3.1 is in active development. Breaking changes are likely to occur to some API functions in future Looker releases until API 3.1 is officially launched and upgraded to beta status. If you have time and interest to experiment with new or modified services exposed in this embryonic API 3.1, we welcome your participation and feedback! For large development efforts or critical line-of-business projects, we strongly recommend you stick with the API 3.0 while API 3.1 is under construction. # noqa: E501 OpenAPI spec version: 3.1.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class OIDCUserAttributeWrite(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'name': 'str', 'required': 'bool', 'user_attribute_ids': 'list[int]', 'url': 'str', 'can': 'dict(str, bool)' } attribute_map = { 'name': 'name', 'required': 'required', 'user_attribute_ids': 'user_attribute_ids', 'url': 'url', 'can': 'can' } def __init__(self, name=None, required=None, user_attribute_ids=None, url=None, can=None): # noqa: E501 """OIDCUserAttributeWrite - a model defined in Swagger""" # noqa: E501 self._name = None self._required = None self._user_attribute_ids = None self._url = None self._can = None self.discriminator = None if name is not None: self.name = name if required is not None: self.required = required if user_attribute_ids is not None: self.user_attribute_ids = user_attribute_ids if url is not None: self.url = url if can is not None: self.can = can @property def name(self): """Gets the name of this OIDCUserAttributeWrite. # noqa: E501 Name of User Attribute in OIDC # noqa: E501 :return: The name of this OIDCUserAttributeWrite. # noqa: E501 :rtype: str """ return self._name @name.setter def name(self, name): """Sets the name of this OIDCUserAttributeWrite. Name of User Attribute in OIDC # noqa: E501 :param name: The name of this OIDCUserAttributeWrite. # noqa: E501 :type: str """ self._name = name @property def required(self): """Gets the required of this OIDCUserAttributeWrite. # noqa: E501 Required to be in OIDC assertion for login to be allowed to succeed # noqa: E501 :return: The required of this OIDCUserAttributeWrite. # noqa: E501 :rtype: bool """ return self._required @required.setter def required(self, required): """Sets the required of this OIDCUserAttributeWrite. Required to be in OIDC assertion for login to be allowed to succeed # noqa: E501 :param required: The required of this OIDCUserAttributeWrite. # noqa: E501 :type: bool """ self._required = required @property def user_attribute_ids(self): """Gets the user_attribute_ids of this OIDCUserAttributeWrite. # noqa: E501 Looker User Attribute Ids # noqa: E501 :return: The user_attribute_ids of this OIDCUserAttributeWrite. # noqa: E501 :rtype: list[int] """ return self._user_attribute_ids @user_attribute_ids.setter def user_attribute_ids(self, user_attribute_ids): """Sets the user_attribute_ids of this OIDCUserAttributeWrite. Looker User Attribute Ids # noqa: E501 :param user_attribute_ids: The user_attribute_ids of this OIDCUserAttributeWrite. # noqa: E501 :type: list[int] """ self._user_attribute_ids = user_attribute_ids @property def url(self): """Gets the url of this OIDCUserAttributeWrite. # noqa: E501 Link to oidc config # noqa: E501 :return: The url of this OIDCUserAttributeWrite. # noqa: E501 :rtype: str """ return self._url @url.setter def url(self, url): """Sets the url of this OIDCUserAttributeWrite. Link to oidc config # noqa: E501 :param url: The url of this OIDCUserAttributeWrite. # noqa: E501 :type: str """ self._url = url @property def can(self): """Gets the can of this OIDCUserAttributeWrite. # noqa: E501 Operations the current user is able to perform on this object # noqa: E501 :return: The can of this OIDCUserAttributeWrite. # noqa: E501 :rtype: dict(str, bool) """ return self._can @can.setter def can(self, can): """Sets the can of this OIDCUserAttributeWrite. Operations the current user is able to perform on this object # noqa: E501 :param can: The can of this OIDCUserAttributeWrite. # noqa: E501 :type: dict(str, bool) """ self._can = can def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value 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, OIDCUserAttributeWrite): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

[ "looker@MacBook-Pro.local" ]

looker@MacBook-Pro.local

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/Hello World/venv/Lib/site-packages/pip/_vendor/progress/__init__.py

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[]

no_license

TaylorHoll/Python_Projects

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2020-06-13T09:04:29.666639

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# Copyright (c) 2012 Giorgos Verigakis <verigak@gmail.com> # # Permission to use, copy, modify, and distribute this software for any # purpose with or without fee is hereby granted, provided that the above # copyright notice and this permission notice appear in all copies. # # THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES # WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF # MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR # ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES # WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN # ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF # OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. from __future__ import division, print_function from datetime import timedelta from math import ceil from sys import stderr from collections import deque try: from time import monotonic except ImportError: from time import time as monotonic __version__ = '1.5' HIDE_CURSOR = '\x1b[?25l' SHOW_CURSOR = '\x1b[?25h' class Infinite(object): file = stderr sma_window = 10 # Simple Moving Average window check_tty = True hide_cursor = True def __init__(self, message='', **kwargs): self.index = 0 self.start_ts = monotonic() self.avg = 0 self._avg_update_ts = self.start_ts self._ts = self.start_ts self._xput = deque(maxlen=self.sma_window) for key, val in kwargs.items(): setattr(self, key, val) self._width = 0 self.message = message if self.file and self.is_tty(): if self.hide_cursor: print(HIDE_CURSOR, end='', file=self.file) print(self.message, end='', file=self.file) self.file.flush() def __getitem__(self, key): if key.startswith('_'): return None return getattr(self, key, None) @property def elapsed(self): return int(monotonic() - self.start_ts) @property def elapsed_td(self): return timedelta(seconds=self.elapsed) def update_avg(self, n, dt): if n > 0: xput_len = len(self._xput) self._xput.append(dt / n) now = monotonic() # update when we're still filling _xput, then after every second if (xput_len < self.sma_window or now - self._avg_update_ts > 1): self.avg = sum(self._xput) / len(self._xput) self._avg_update_ts = now def update(self): pass def start(self): pass def clearln(self): if self.file and self.is_tty(): print('\r\x1b[K', end='', file=self.file) def write(self, s): if self.file and self.is_tty(): line = self.message + s.ljust(self._width) print('\r' + line, end='', file=self.file) self._width = max(self._width, len(s)) self.file.flush() def writeln(self, line): if self.file and self.is_tty(): self.clearln() print(line, end='', file=self.file) self.file.flush() def finish(self): if self.file and self.is_tty(): print(file=self.file) if self.hide_cursor: print(SHOW_CURSOR, end='', file=self.file) def is_tty(self): return self.file.isatty() if self.check_tty else True def next(self, n=1): now = monotonic() dt = now - self._ts self.update_avg(n, dt) self._ts = now self.index = self.index + n self.update() def iter(self, it): with self: for x in it: yield x self.next() def __enter__(self): self.start() return self def __exit__(self, exc_type, exc_val, exc_tb): self.finish() class Progress(Infinite): def __init__(self, *args, **kwargs): super(Progress, self).__init__(*args, **kwargs) self.max = kwargs.get('max', 100) @property def eta(self): return int(ceil(self.avg * self.remaining)) @property def eta_td(self): return timedelta(seconds=self.eta) @property def percent(self): return self.progress * 100 @property def progress(self): return min(1, self.index / self.max) @property def remaining(self): return max(self.max - self.index, 0) def start(self): self.update() def goto(self, index): incr = index - self.index self.next(incr) def iter(self, it): try: self.max = len(it) except TypeError: pass with self: for x in it: yield x self.next()

[ "taylorholloway1984@gmail.com" ]

taylorholloway1984@gmail.com

af4646c0c8d791591845ff4194705e2db2ffaf58

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/中级班/chapter03/code_06_rotateMatrix.py

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[]

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Tokyo113/leetcode_python

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#coding:utf-8 ''' @Time: 2020/2/13 16:58 @author: Tokyo @file: code_06_rotateMatrix.py @desc: 给定一个正方形矩阵，只用有限几个变量，实现矩阵中每个位置的数顺时针转动 90度，比如如下的矩阵 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 矩阵应该被调整为： 12 8 4 0 13 9 5 1 14 10 6 2 15 11 7 3 ''' def rotateMatrix(arr): n = len(arr) m = len(arr[0]) lr,lc = 0, 0 rr, rc = n-1, m-1 while lr < rr: rotateEdge(arr, lr,lc,rr,rc) lr += 1 lc += 1 rr -= 1 rc -= 1 def rotateEdge(arr, lr,lc, rr,rc): for i in range(rc-lc): pp = arr[lr][lc+i] arr[lr][lc+i] = arr[rr-i][lc] arr[rr-i][lc] = arr[rr][rc-i] arr[rr][rc-i] = arr[lr+i][rc] arr[lr+i][rc] = pp return def printMatrix(arr): for i in range(len(arr)): for j in range(len(arr[0])): print(arr[i][j], end="\t") print("") if __name__ == '__main__': a = [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13,14,15,16]] printMatrix(a) print("=================") rotateMatrix(a) printMatrix(a)

[ "21810179@zju.edu.cn" ]

21810179@zju.edu.cn

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/src/yaml/xml.py

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import land.land import land.yaml import global ctype static enum XmlState: Outside ElementName Attributes AttributeName AttributeStart AttributeValue static class XmlParser: XmlState state bool closing LandBuffer *value LandYaml *yaml static def scalar(XmlParser *x): land_buffer_add_char(x.value, 0) land_yaml_add_scalar(x.yaml, land_strdup(x.value.buffer)) land_buffer_clear(x.value) static def opt_scalar(XmlParser *x): if x.value.n: scalar(x) static def discard_scalar(XmlParser *x): land_buffer_clear(x.value) # # <a x="2">b<c>d</c>e<f y="3"/></a> # # [{"<":"a", "x":"2", ">":["b", {"<":"c", ">":["d"]}, "e", {"<":f", "y":"3"}]}] # # def land_yaml_load_xml(str filename) -> LandYaml *: LandFile *f = land_file_new(filename, "rb") if not f: land_log_message("Failed opening %s\n", filename) return None land_log_message("Parsing yaml %s\n", filename) XmlParser x_ XmlParser *x = &x_ x.yaml = land_yaml_new(filename) x.value = land_buffer_new() x.state = Outside x.closing = False land_yaml_add_sequence(x.yaml) # root list of elements while True: int c = land_file_getc(f) if c < 0: break if x.state == Outside: if c == '<': opt_scalar(x) x.state = ElementName continue elif x.state == ElementName: if c == '/': x.closing = True continue elif c == '>': if x.closing: discard_scalar(x) close_tag(x) land_yaml_done(x.yaml) # content else: create_tag(x) open_tag(x) # no attributes continue elif isspace(c): create_tag(x) x.state = Attributes continue elif x.state == Attributes: if isspace(c): continue elif c == '/': x.closing = True continue elif c == '?': # to deal with the XML header x.closing = True continue elif c == '>': if x.closing: close_tag(x) else: open_tag(x) continue elif c == '=': scalar(x) x.state = AttributeStart continue elif x.state == AttributeStart: if c == '"': x.state = AttributeValue continue elif x.state == AttributeValue: if c == '"': x.state = Attributes scalar(x) continue add_char(x, c) land_yaml_done(x.yaml) # root list of elements land_file_destroy(f) land_buffer_destroy(x.value) return x.yaml static def add_char(XmlParser *x, char c): land_buffer_add_char(x.value, c) static def create_tag(XmlParser *x): land_yaml_add_mapping(x.yaml) # tag mapping land_yaml_add_scalar(x.yaml, land_strdup("<")) scalar(x) static def open_tag(XmlParser *x): x.state = Outside land_yaml_add_scalar(x.yaml, land_strdup(">")) land_yaml_add_sequence(x.yaml) # content static def close_tag(XmlParser *x): land_yaml_done(x.yaml) # tag mapping x.state = Outside x.closing = False # saving XML static def xml_write(YamlParser *p, char const *s, bool can_break_before): int n = strlen(s) if can_break_before and p.line_length + n > 80: land_file_write(p.file, "\n", 1) p.line_length = 0 land_file_write(p.file, s, n) int i = land_find(s, "\n") if i >= 0: p.line_length = n - 1 - i else: p.line_length += n static def xml_save_mapping(LandYamlEntry *e, YamlParser *p) -> bool: str name = land_yaml_get_entry_scalar(e, "<") if not name: return False xml_write(p, "<", False) xml_write(p, name, False) for char const *key in LandArray *e.sequence: if land_equals(key, "<") or land_equals(key, ">"): continue xml_write(p, " ", False) xml_write(p, key, True) xml_write(p, "=\"", False) str value = land_yaml_get_entry_scalar(e, key) xml_write(p, value, False) xml_write(p, "\"", False) LandYamlEntry *contents = land_yaml_get_entry(e, ">") if contents: xml_write(p, ">", True) xml_save_sequence(contents, p) xml_write(p, "</", False) xml_write(p, name, False) xml_write(p, ">", True) else: xml_write(p, " />", True) return True static def xml_save_sequence(LandYamlEntry *e, YamlParser *p) -> bool: for LandYamlEntry *e2 in LandArray *e.sequence: xml_save_entry(e2, p) return True static def xml_save_scalar(LandYamlEntry *e, YamlParser *p) -> bool: xml_write(p, e.scalar, False) return True static def xml_save_entry(LandYamlEntry *e, YamlParser *p) -> bool: if e.type == YamlMapping: return xml_save_mapping(e, p) elif e.type == YamlSequence: return xml_save_sequence(e, p) elif e.type == YamlScalar: return xml_save_scalar(e, p) return false def land_yaml_save_xml(LandYaml *yaml): LandFile *f = land_file_new(yaml.filename, "wb") if not f: goto error YamlParser p memset(&p, 0, sizeof p) p.file = f if not xml_save_entry(yaml.root, &p): goto error label error if f: land_file_destroy(f) def _xml(LandYaml *yaml): if not yaml.root or not yaml.parent: land_yaml_add_sequence(yaml) elif yaml.parent->type == YamlMapping: land_yaml_add_scalar(yaml, ">") land_yaml_add_sequence(yaml) def land_yaml_xml_tag(LandYaml *yaml, str name): _xml(yaml) land_yaml_add_mapping(yaml) land_yaml_add_scalar(yaml, "<") land_yaml_add_scalar(yaml, name) def land_yaml_xml_tag_with_content(LandYaml *yaml, str name, str content): land_yaml_xml_tag(yaml, name) land_yaml_xml_content(yaml, content) land_yaml_xml_end(yaml) def land_yaml_xml_content(LandYaml *yaml, str content): _xml(yaml) land_yaml_add_scalar(yaml, content) def land_yaml_xml_attribute(LandYaml *yaml, str key, value): land_yaml_add_scalar(yaml, key) land_yaml_add_scalar(yaml, value) def land_yaml_xml_end(LandYaml *yaml): land_yaml_done(yaml) # If we close a tag, we close the mapping, so additional children # can be added. When we close the parent, we just closed the # sequence, but we also need to close the mapping. Basically we # always need to be in a sequence after this function returns. if yaml.parent and yaml.parent->type == YamlMapping: land_yaml_done(yaml)

[ "elias@users.sourceforge.net" ]

elias@users.sourceforge.net

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/huaweicloud-sdk-cbs/huaweicloudsdkcbs/v1/model/collect_key_words_request.py

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permissive

huaweicloud/huaweicloud-sdk-python-v3

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# coding: utf-8 import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class CollectKeyWordsRequest: """ 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 = { 'qabot_id': 'str', 'start_time': 'str', 'end_time': 'str', 'top': 'int' } attribute_map = { 'qabot_id': 'qabot_id', 'start_time': 'start_time', 'end_time': 'end_time', 'top': 'top' } def __init__(self, qabot_id=None, start_time=None, end_time=None, top=None): """CollectKeyWordsRequest The model defined in huaweicloud sdk :param qabot_id: qabot编号，UUID格式。 :type qabot_id: str :param start_time: 查询的起始时间，long，UTC时间，默认值为0。 :type start_time: str :param end_time: 查询的结束时间，long，UTC时间，默认值为当前时间的毫秒数。 :type end_time: str :param top: 关键词最多显示的个数，默认值为10，取值范围0-50。 :type top: int """ self._qabot_id = None self._start_time = None self._end_time = None self._top = None self.discriminator = None self.qabot_id = qabot_id if start_time is not None: self.start_time = start_time if end_time is not None: self.end_time = end_time if top is not None: self.top = top @property def qabot_id(self): """Gets the qabot_id of this CollectKeyWordsRequest. qabot编号，UUID格式。 :return: The qabot_id of this CollectKeyWordsRequest. :rtype: str """ return self._qabot_id @qabot_id.setter def qabot_id(self, qabot_id): """Sets the qabot_id of this CollectKeyWordsRequest. qabot编号，UUID格式。 :param qabot_id: The qabot_id of this CollectKeyWordsRequest. :type qabot_id: str """ self._qabot_id = qabot_id @property def start_time(self): """Gets the start_time of this CollectKeyWordsRequest. 查询的起始时间，long，UTC时间，默认值为0。 :return: The start_time of this CollectKeyWordsRequest. :rtype: str """ return self._start_time @start_time.setter def start_time(self, start_time): """Sets the start_time of this CollectKeyWordsRequest. 查询的起始时间，long，UTC时间，默认值为0。 :param start_time: The start_time of this CollectKeyWordsRequest. :type start_time: str """ self._start_time = start_time @property def end_time(self): """Gets the end_time of this CollectKeyWordsRequest. 查询的结束时间，long，UTC时间，默认值为当前时间的毫秒数。 :return: The end_time of this CollectKeyWordsRequest. :rtype: str """ return self._end_time @end_time.setter def end_time(self, end_time): """Sets the end_time of this CollectKeyWordsRequest. 查询的结束时间，long，UTC时间，默认值为当前时间的毫秒数。 :param end_time: The end_time of this CollectKeyWordsRequest. :type end_time: str """ self._end_time = end_time @property def top(self): """Gets the top of this CollectKeyWordsRequest. 关键词最多显示的个数，默认值为10，取值范围0-50。 :return: The top of this CollectKeyWordsRequest. :rtype: int """ return self._top @top.setter def top(self, top): """Sets the top of this CollectKeyWordsRequest. 关键词最多显示的个数，默认值为10，取值范围0-50。 :param top: The top of this CollectKeyWordsRequest. :type top: int """ self._top = top 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, CollectKeyWordsRequest): 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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/article/admin.py

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dimansion/bepy

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refs/heads/master

2020-06-28T11:27:02.204255

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from django.contrib import admin # Register your models here. from .models import Article class ArticleModelAdmin(admin.ModelAdmin): list_display = ["title", "updated", "timestamp"] list_display_links = ["updated"] list_editable = ["title"] list_filter = ["updated", "timestamp"] search_fields = ["title", "content"] class Meta: model = Article admin.site.register(Article, ArticleModelAdmin)

[ "dimansional@gmail.com" ]

dimansional@gmail.com

bc07ca5cbd963e7bdc3369aae466a3c181a9c7bb

50de54517ef5e157b43598e412c477fd66890a3e

/Assignment 04/Problem 12.py

324d03a9fc0e2eb71aefe5e681cb03cda366f9f8

[]

no_license

Shihabsarker93/BRACU-CSE111

f530be247bebaaee9cc5e85948dc070adae0c6ae

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refs/heads/main

2023-08-13T15:33:57.331850

2021-10-07T10:56:09

null

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null

UTF-8

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class ParcelKoro: def __init__(self, name=None, product_weight=None) -> None: self.name = name self.product_weight = product_weight if self.product_weight == None: self.product_weight = 0 def calculateFee(self, location=None): self.location = location if location == None: location_charge = 50 else: location_charge = 100 if self.product_weight == 0: self.total_fee = 0 else: self.total_fee = (self.product_weight * 20) + location_charge def printDetails(self): if self.name == None: self.name = "No name set" print(f"Customer Name: {self.name}") print(f"Product Weight: {self.product_weight}") print(f"Total fee: {self.total_fee}") print("**********************") p1 = ParcelKoro() p1.calculateFee() p1.printDetails() print("**********************") p2 = ParcelKoro("Bob The Builder") p2.calculateFee() p2.printDetails() print("----------------------------") p2.product_weight = 15 p2.calculateFee() p2.printDetails() print("**********************") p3 = ParcelKoro("Dora The Explorer", 10) p3.calculateFee("Dhanmondi") p3.printDetails()

[ "mirzamahrabhossain@gmail.com" ]

mirzamahrabhossain@gmail.com

bdb495a4aaf1752cb932eda410fe95cca71f3510

b0d5e423f09181a322a0166b06bf7fe45a3befc0

/MetioTube/profiles/forms.py

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[ "MIT" ]

permissive

Sheko1/MetioTube

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refs/heads/main

2023-07-04T12:54:57.500778

2021-08-14T19:41:56

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from django import forms from MetioTube.profiles.models import Profile class ProfileForm(forms.ModelForm): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.fields['profile_picture'].widget.attrs['accept'] = 'image/jpg, image/png, image/jpeg' class Meta: model = Profile exclude = ('user', 'subscribers')

[ "martinkypar@gmail.com" ]

martinkypar@gmail.com

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/post/migrations/0010_auto_20170225_1412.py

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[]

no_license

mikekeda/Jess-blog

55c03deaa3587f4280cb77f4c33a4728965f7503

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refs/heads/master

2023-07-26T21:25:31.519523

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# -*- coding: utf-8 -*- # Generated by Django 1.10.5 on 2017-02-25 14:12 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('post', '0009_auto_20170225_1410'), ] operations = [ migrations.AlterField( model_name='post', name='slug', field=models.SlugField(editable=False, unique=True), ), ]

[ "mriynuk@gmail.com" ]

mriynuk@gmail.com

2eab272b612bf0026bdfa21c63ff576d34fd8dde

8780bc7f252f14ff5406ce965733c099034920b7

/pyCode/novel_Mongodb/novel/settings.py

e49a3b889bb618337c2e82ee26bcf3662da38c06

[]

no_license

13661892653/workspace

5e4e458d31b9355c67d67ba7d9faccbcc1ac9f6b

17960becabb3b4f0fc30009c71a11c4f7a5f8330

refs/heads/master

2020-12-24T20:00:15.541432

2018-08-14T13:56:15

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UTF-8

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# -*- coding: utf-8 -*- # Scrapy settings for novel project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # http://doc.scrapy.org/en/latest/topics/settings.html # http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html # http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html BOT_NAME = 'novel' SPIDER_MODULES = ['novel.spiders'] NEWSPIDER_MODULE = 'novel.spiders' # Crawl responsibly by identifying yourself (and your website) on the user-agent #USER_AGENT = 'novel (+http://www.yourdomain.com)' USER_AGENT = 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:23.0) Gecko/20100101 Firefox/23.0' # Obey robots.txt rules ROBOTSTXT_OBEY = True ITEM_PIPELINES = { 'novel.pipelines.MongoDBPipeline': 300, } MONGODB_HOST = "127.0.0.1" MONGODB_PORT = 27017 MONGODB_DB = 'Jikexueyuan' MONGODB_COLL = 'novel' # Configure maximum concurrent requests performed by Scrapy (default: 16) #CONCURRENT_REQUESTS = 32 # Configure a delay for requests for the same website (default: 0) # See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay # See also autothrottle settings and docs #DOWNLOAD_DELAY = 3 # The download delay setting will honor only one of: #CONCURRENT_REQUESTS_PER_DOMAIN = 16 #CONCURRENT_REQUESTS_PER_IP = 16 # Disable cookies (enabled by default) # Disable Telnet Console (enabled by default) #TELNETCONSOLE_ENABLED = False # Override the default request headers: #DEFAULT_REQUEST_HEADERS = { # 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', # 'Accept-Language': 'en', #} # Enable or disable spider middlewares # See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html #SPIDER_MIDDLEWARES = { # 'novel.middlewares.NovelSpiderMiddleware': 543, #} # Enable or disable downloader middlewares # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html #DOWNLOADER_MIDDLEWARES = { # 'novel.middlewares.MyCustomDownloaderMiddleware': 543, #} # Enable or disable extensions # See http://scrapy.readthedocs.org/en/latest/topics/extensions.html #EXTENSIONS = { # 'scrapy.extensions.telnet.TelnetConsole': None, #} # Configure item pipelines # See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html #ITEM_PIPELINES = { # 'novel.pipelines.MongoDBPipeline': 300, #} # Enable and configure the AutoThrottle extension (disabled by default) # See http://doc.scrapy.org/en/latest/topics/autothrottle.html #AUTOTHROTTLE_ENABLED = True # The initial download delay #AUTOTHROTTLE_START_DELAY = 5 # The maximum download delay to be set in case of high latencies #AUTOTHROTTLE_MAX_DELAY = 60 # The average number of requests Scrapy should be sending in parallel to # each remote server #AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0 # Enable showing throttling stats for every response received: #AUTOTHROTTLE_DEBUG = False # Enable and configure HTTP caching (disabled by default) # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings #HTTPCACHE_ENABLED = True #HTTPCACHE_EXPIRATION_SECS = 0 #HTTPCACHE_DIR = 'httpcache' #HTTPCACHE_IGNORE_HTTP_CODES = [] #HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'

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from torchnlp.nn.attention import Attention from torchnlp.nn.lock_dropout import LockedDropout from torchnlp.nn.weight_drop import WeightDropGRU from torchnlp.nn.weight_drop import WeightDropLSTM from torchnlp.nn.weight_drop import WeightDropLinear from torchnlp.nn.weight_drop import WeightDrop from torchnlp.nn.cnn_encoder import CNNEncoder __all__ = [ 'LockedDropout', 'Attention', 'CNNEncoder', 'WeightDrop', 'WeightDropGRU', 'WeightDropLSTM', 'WeightDropLinear', ]

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def start(): output_file = open('output.txt', 'w+') t = int(raw_input().strip()) for x in range(t): flip_count = 0 p = raw_input().strip() for y in xrange(len(p) - 1, -1, -1): if p[y] == "-": flip_count += 1 p = flip(p[:y + 1]) + p[y + 1:] output_file.write("Case #{case}: {result}\n".format(case=x+1, result=flip_count)) def flip(p): return ''.join([''.join(x) for x in ["+" if x == "-" else "-" for x in p]])

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# Generated by Django 3.1.4 on 2021-03-02 07:39 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('iprofile', '0001_initial'), ] operations = [ migrations.AlterField( model_name='profile', name='specialization', field=models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='iprofile.specialization'), ), ]

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class ProcExit(Exception): def __init__(self, message, status): super().__init__(message, status) self.message = message self.status = status

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# !/usr/bin/python # -*- coding:utf-8 -*- import numpy as np import matplotlib.pyplot as plt import matplotlib as mpl import lda import lda.datasets from pprint import pprint if __name__ == "__main__": # document-term matrix X = lda.datasets.load_reuters() print("type(X): {}".format(type(X))) print("shape: {}\n".format(X.shape)) print(X[:10, :10]) # the vocab vocab = lda.datasets.load_reuters_vocab() print("type(vocab): {}".format(type(vocab))) print("len(vocab): {}\n".format(len(vocab))) print(vocab[:10]) # titles for each story titles = lda.datasets.load_reuters_titles() print("type(titles): {}".format(type(titles))) print("len(titles): {}\n".format(len(titles))) pprint(titles[:10]) print ('LDA start ----') topic_num = 20 model = lda.LDA(n_topics=topic_num, n_iter=800, random_state=1) model.fit(X) # topic-word topic_word = model.topic_word_ print("type(topic_word): {}".format(type(topic_word))) print("shape: {}".format(topic_word.shape)) print(vocab[:5]) print(topic_word[:, :5]) # Print Topic distribution n = 7 for i, topic_dist in enumerate(topic_word): topic_words = np.array(vocab)[np.argsort(topic_dist)][:-(n + 1):-1] print('*Topic {}\n- {}'.format(i, ' '.join(topic_words))) # Document - topic doc_topic = model.doc_topic_ print("type(doc_topic): {}".format(type(doc_topic))) print("shape: {}".format(doc_topic.shape)) for i in range(10): topic_most_pr = doc_topic[i].argmax() print(u"文档: {} 主题: {} value: {}".format(i, topic_most_pr, doc_topic[i][topic_most_pr])) mpl.rcParams['font.sans-serif'] = [u'SimHei'] mpl.rcParams['axes.unicode_minus'] = False # Topic - word plt.figure(figsize=(8, 9)) # f, ax = plt.subplots(5, 1, sharex=True) for i, k in enumerate([0, 5, 9, 14, 19]): ax = plt.subplot(5, 1, i+1) ax.plot(topic_word[k, :], 'r-') ax.set_xlim(-50, 4350) # [0,4258] ax.set_ylim(0, 0.08) ax.set_ylabel(u"概率") ax.set_title(u"主题 {}".format(k)) plt.xlabel(u"词", fontsize=14) plt.tight_layout() plt.suptitle(u'主题的词分布', fontsize=18) plt.subplots_adjust(top=0.9) plt.show() # Document - Topic plt.figure(figsize=(8, 9)) # f, ax= plt.subplots(5, 1, figsize=(8, 6), sharex=True) for i, k in enumerate([1, 3, 4, 8, 9]): ax = plt.subplot(5, 1, i+1) ax.stem(doc_topic[k, :], linefmt='g-', markerfmt='ro') ax.set_xlim(-1, topic_num+1) ax.set_ylim(0, 1) ax.set_ylabel(u"概率") ax.set_title(u"文档 {}".format(k)) plt.xlabel(u"主题", fontsize=14) plt.suptitle(u'文档的主题分布', fontsize=18) plt.tight_layout() plt.subplots_adjust(top=0.9) plt.show()

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class Student: def __init__(self, name, old, achement, gender): self.name = name self.old = old self.achement = achement self.gender = gender def print_personal_info(self): print("学生姓名：", self.name, "年龄：", self.old, "成绩：", self.achement, "性别：", self.gender) list_student = [ Student("悟空", 27, 100, "男"), Student("八戒", 30, 60, "男"), Student("沙僧", 33, 70, "男"), Student("唐僧", 20, 65, "女") ] # 5.根据年龄，并按照升序将学生列表进行排序 def ascending(): for i in range(0, len(list_student) - 1): for m in range(i + 1, len(list_student)): if list_student[i].old > list_student[m].old: list_student[i], list_student[m] = list_student[m], list_student[i] ascending() for item in list_student: item.print_personal_info() # 6.将学上列表中所有男生删除 def del_nan(): for item in list_student[::-1]: if item.gender=="男": list_student.remove(item) del_nan() for i in list_student: i.print_personal_info()

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#coding: utf-8 """ pmd reader """ import io from .. import common from .. import pmd class Reader(common.BinaryReader): """pmx reader """ def __init__(self, ios, version): super(Reader, self).__init__(ios) self.version=version def read_text(self, size): """read cp932 text """ src=self.unpack("%ds" % size, size) assert(type(src)==bytes) pos = src.find(b"\x00") if pos==-1: return src else: return src[:pos] def read_vertex(self): return pmd.Vertex( self.read_vector3(), self.read_vector3(), self.read_vector2(), self.read_uint(2), self.read_uint(2), self.read_uint(1), self.read_uint(1)) def read_material(self): return pmd.Material( diffuse_color=self.read_rgb(), alpha=self.read_float(), specular_factor=self.read_float(), specular_color=self.read_rgb(), ambient_color=self.read_rgb(), toon_index=self.read_int(1), edge_flag=self.read_uint(1), vertex_count=self.read_uint(4), texture_file=self.read_text(20) ) def read_bone(self): name=self.read_text(20) parent_index=self.read_uint(2) tail_index=self.read_uint(2) bone=pmd.createBone(name, self.read_uint(1)) bone.parent_index=parent_index bone.tail_index=tail_index bone.ik_index = self.read_uint(2) bone.pos = self.read_vector3() return bone def read_ik(self): ik=pmd.IK(self.read_uint(2), self.read_uint(2)) ik.length = self.read_uint(1) ik.iterations = self.read_uint(2) ik.weight = self.read_float() ik.children=[self.read_uint(2) for _ in range(ik.length)] return ik def read_morph(self): morph=pmd.Morph(self.read_text(20)) morph_size = self.read_uint(4) morph.type = self.read_uint(1) for j in range(morph_size): morph.indices.append(self.read_uint(4)) morph.pos_list.append(self.read_vector3()) return morph def read_rigidbody(self): return pmd.RigidBody( name=self.read_text(20), bone_index=self.read_int(2), collision_group=self.read_int(1), no_collision_group=self.read_int(2), shape_type=self.read_uint(1), shape_size=self.read_vector3(), shape_position=self.read_vector3(), shape_rotation=self.read_vector3(), mass=self.read_float(), linear_damping=self.read_float(), angular_damping=self.read_float(), restitution=self.read_float(), friction=self.read_float(), mode=self.read_uint(1) ) def read_joint(self): return pmd.Joint( name=self.read_text(20), rigidbody_index_a=self.read_uint(4), rigidbody_index_b=self.read_uint(4), position=self.read_vector3(), rotation=self.read_vector3(), translation_limit_min=self.read_vector3(), translation_limit_max=self.read_vector3(), rotation_limit_min=self.read_vector3(), rotation_limit_max=self.read_vector3(), spring_constant_translation=self.read_vector3(), spring_constant_rotation=self.read_vector3()) def __read(reader, model): # model info model.name=reader.read_text(20) model.comment=reader.read_text(256) # model data model.vertices=[reader.read_vertex() for _ in range(reader.read_uint(4))] model.indices=[reader.read_uint(2) for _ in range(reader.read_uint(4))] model.materials=[reader.read_material() for _ in range(reader.read_uint(4))] model.bones=[reader.read_bone() for _ in range(reader.read_uint(2))] model.ik_list=[reader.read_ik() for _ in range(reader.read_uint(2))] model.morphs=[reader.read_morph() for _ in range(reader.read_uint(2))] model.morph_indices=[reader.read_uint(2) for _ in range(reader.read_uint(1))] model.bone_group_list=[pmd.BoneGroup(reader.read_text(50)) for _ in range(reader.read_uint(1))] model.bone_display_list=[(reader.read_uint(2), reader.read_uint(1)) for _i in range(reader.read_uint(4))] if reader.is_end(): # EOF return True ############################################################ # extend1: english name ############################################################ if reader.read_uint(1)==1: #return True model.english_name=reader.read_text(20) model.english_comment=reader.read_text(256) for bone in model.bones: bone.english_name=reader.read_text(20) for morph in model.morphs: if morph.name==b'base': continue morph.english_name=reader.read_text(20) for g in model.bone_group_list: g.english_name=reader.read_text(50) ############################################################ # extend2: toon_textures ############################################################ if reader.is_end(): # EOF return True model.toon_textures=[reader.read_text(100) for _ in range(10)] ############################################################ # extend2: rigidbodies and joints ############################################################ if reader.is_end(): # EOF return True model.rigidbodies=[reader.read_rigidbody() for _ in range(reader.read_uint(4))] model.joints=[reader.read_joint() for _ in range(reader.read_uint(4))] return True def read_from_file(path): """ read from file path, then return the pymeshio.pmd.Model. :Parameters: path file path >>> import pymeshio.pmd.reader >>> m=pymeshio.pmd.reader.read_from_file('resources/初音ミクVer2.pmd') >>> print(m) <pmd-2.0 "Miku Hatsune" 12354vertices> """ pmd=read(io.BytesIO(common.readall(path))) pmd.path=path return pmd def read(ios: io.IOBase): """ read from ios, then return the pymeshio.pmd.Model. :Parameters: ios input stream (in io.IOBase) >>> import pymeshio.pmd.reader >>> m=pymeshio.pmd.reader.read(io.open('resources/初音ミクVer2.pmd', 'rb')) >>> print(m) <pmd-2.0 "Miku Hatsune" 12354vertices> """ assert(isinstance(ios, io.IOBase)) reader=common.BinaryReader(ios) # header signature=reader.unpack("3s", 3) if signature!=b"Pmd": raise common.ParseException( "invalid signature: {0}".format(signature)) version=reader.read_float() model=pmd.Model(version) reader=Reader(reader.ios, version) if(__read(reader, model)): # check eof if not reader.is_end(): #print("can not reach eof.") pass # build bone tree for i, child in enumerate(model.bones): child.index=i if child.parent_index==0xFFFF: # no parent model.no_parent_bones.append(child) child.parent=None else: # has parent parent=model.bones[child.parent_index] child.parent=parent parent.children.append(child) # 後位置 if child.hasChild(): child.tail=model.bones[child.tail_index].pos return model

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# -*-coding:Utf-8 -* # Copyright (c) 2010 LE GOFF Vincent # 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 copyright holder 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. """Ce fichier décrit la classe FichierConfiguration, détaillée plus bas.""" import re import textwrap from .exceptions import * class FichierConfiguration: """Cette classe définit un fichier de configuration. Le fichier créé par cette classe est déjà ouvert. La classe se contente de l'analyser et de placer les données dans un dictionnaire. Elle est également en charge de mettre un jour un fichier en tenant compte d'un autre fichier (mettre à jour un modèle en tenant compte des données configurées, ici). """ def __init__(self, nom, chaine, logger): """Constructeur d'un fichier de configuration. On lui passe la chaîne lue dans le fichier, non analysée. Cette chaîne contient donc les données brutes, il faut l'analyser. """ self.nom = nom self.fichier = chaine self.donnees = {} self.lignes = {} self.logger = logger # On analyse la chaîne t_contenu = chaine.split("\n") contenu = chaine delimiteurs = ('\\', ',', '[', '{', '(') # On lit les données i = 0 while i < len(t_contenu): ligne = t_contenu[i] if ligne.strip() == "": i += 1 continue elif ligne.lstrip().startswith("#"): i += 1 continue elif "=" not in ligne: self.logger.warning("[{}:{}]: le signe '=' n'a pas été " \ "trouvé ('{}')".format(self.nom, i + 1, ligne)) i += 1 else: nom_donnee = ligne.split("=")[0].strip() donnee = "=".join(ligne.split("=")[1:]).lstrip() # Si la ligne se poursuit, on continue ligne_debut = i while ligne.rstrip()[-1] in delimiteurs or \ ligne.lstrip().startswith("#"): i += 1 if i >= len(t_contenu): break ligne = t_contenu[i] donnee += "\n" + ligne ligne_fin = i self.lignes[nom_donnee] = (ligne_debut, ligne_fin) self.donnees[nom_donnee] = donnee i += 1 def mettre_a_jour(self, autre_fichier): """Met à jour l'attribut 'chaine' en fonction d'un autre fichier. On parcourt les données de cet autre fichier. * Si la donnée est présente dans self.donnees, on la réécrit sans savoir si elle est identique ou non, on l'écrase) * Sinon on ne la réécrit pas. """ t_contenu = self.fichier.split("\n") for nom_don, val_don in autre_fichier.donnees.items(): if nom_don in self.donnees.keys(): # la donnée existe # On la met à jour self.donnees[nom_don] = val_don if nom_don not in self.lignes: # La donnée n'a pas été trouvée raise ErreurInterpretation("la donnée {} n'a pas " \ "été trouvée dans le fichier à mettre à " \ "jour".format(nom_don)) debut, fin = self.lignes[nom_don] nv_val = nom_don + " = " + val_don nv_val = nv_val.split("\n") t_contenu = t_contenu[:debut] + nv_val + t_contenu[fin + 1:] self.fichier = "\n".join(t_contenu)

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kredh@free.fr

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gitanjali1077/UnistashFinal

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# -*- coding: utf-8 -*- # Generated by Django 1.10.5 on 2017-08-28 18:28 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('Functions', '0020_contribute'), ] operations = [ migrations.AddField( model_name='contribute', name='upload_file', field=models.FileField(default='abc.jpg', upload_to='documents/'), preserve_default=False, ), ]

[ "gitanjali1077@gmail.com" ]

gitanjali1077@gmail.com

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[]

no_license

Aasthaengg/IBMdataset

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lis = list(map(int,input().split())) a = int(input()) lis.sort(reverse = True) for i in range(a): lis[0] *= 2 print(sum(lis))

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

66529651+Aastha2104@users.noreply.github.com

396afefec4925ee05474afb55fca1e1c01268612

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/baltimore.py

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[]

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Romulus83/python

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# -*- coding: utf-8 -*- """ Created on Tue Mar 3 18:14:48 2020 @author: user """ """ remove the dollar signs in the AnnualSalary field and assign it as a int """ import pandas as pd df4 = pd.read_csv("Baltimore_City_Employee_Salaries_FY2014.csv") df4["AnnualSalary"] = df4["AnnualSalary"].astype("int64") """ Group the data on JobTitle and AnnualSalary, and aggregate with sum, mean, etc. Sort the data and display to show who get the highest salary """ df4[["AnnualSalary","JobTitle"]] df4["AnnualSalary"].agg(['sum','mean']) a = sorted(df4["AnnualSalary"]) df4["AnnualSalary"].max() df4["AnnualSalary"].min() """ Try to group on JobTitle only and sort the data and display """ sorted(df4["JobTitle"]) """ How many employess are there for each JobRoles and Graph it """ import matplotlib.pyplot as plt plt.pie(df4["JobTitle"].value_counts(),labels = df4["JobTitle"].unique(),autopct = "%.2f",radius = 3) """ Graph and show which Job Title spends the most """ import matplotlib.pyplot as plt plt.pie(df4["HireDate"].value_counts(dropna = False),labels = df4["HireDate"].unique(),autopct = "%.2f",radius = 3)

[ "sandeepjain20178@gmail.com" ]

sandeepjain20178@gmail.com

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/Hyperbola_search_part1.py

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albusdemens/Backscattering_3DND

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# Alberto Cereser, 4 Feb 2014 # alcer@fysik.dtu.dk, Technical University of Denmark # For each point, this script looks for its successor # For the location of the cutouts, the code follows the approach described in # http://scikit-image.org/docs/dev/auto_examples/plot_template.html import sys #import pandas as pd import numpy as np from numpy import ndarray import math import matplotlib.pyplot as plt from matplotlib.pyplot import * from skimage import data from skimage.feature import match_template import os if __name__ == '__main__': # I start reading in the list of diffraction spots data made using Peak_analyzer_simple_neighbours.py input_filename = "Fe_PSI_spt_refined.txt" input_file = open(input_filename, 'r') # Here are the variables to change, depending on the number of projections considered # and on the lines of the txt file (Fe_PSI_spt_refined.txt) Number_of_projections = 181 Number_of_lines_in_txt = 3493 counter_array = [] correlation_threshold_value = 0.7 # I make a square mask, so to ignore the central black region X_mask = 1135 Y_mask = 1251 output_filename = ("/Users/Alberto/Documents/Data_analysis/ICON_Aug2013/Data_analysis/Python_code/Fe_PSI_spt_tagged_15apr.txt") for i in range(2, (Number_of_projections + 1)): cmd = 'python Hyperbola_search_part2.py %i %s %s %i %i %f' % (i, input_filename, output_filename, Number_of_projections, Number_of_lines_in_txt, correlation_threshold_value) os.system(cmd) # filename_cutouts_combined = ("/Users/Alberto/Documents/Data_analysis/ICON_Aug2013/Data_analysis/cutouts_combined/cutouts_combined_%03i.txt" % (i)) # filename_cutouts_combined_tag = ("/Users/Alberto/Documents/Data_analysis/ICON_Aug2013/Data_analysis/cutouts_combined/cutouts_combined_tag_%03i.txt" % (i)) # image = np.loadtxt(filename_cutouts_combined) # image_tagged = np.loadtxt(filename_cutouts_combined_tag) # for line in input_file: # line_elements = line.split() # Angle_number = int(line_elements[0]) # Omega = float(line_elements[1]) # Intensity = float(line_elements[2]) # X = float(line_elements[3]) # Y = float(line_elements[4]) # Address = str(line_elements[5]) # ID = int(line_elements[6]) # print i, Angle_number #if ((Angle_number + 1) == i): # we map cutouts in the following #cutout = np.loadtxt(Address) #index = Angle_number #+ 1 #array_cutout = np.array(cutout) #array_image = np.array(image) #correlation = match_template(image, cutout) #ij = np.unravel_index(np.argmax(correlation), correlation.shape) #x, y = ij[::-1] #ran = array_cutout.shape #ran_y = ran[1] #ran_x = ran[0] #x_center = x + (ran_x/2) #y_center = y + (ran_y/2) #print x_center, y_center # To do: insert case when spot in central square # We now calculate the distance between the cutout center (in Omega) and the point we found # (in Omega + 1) #distance = math.sqrt((x_center - X)**2 + (y_center - Y)**2) #print i #if distance < 200: # We search that the two points are not too far away # if (np.amax(correlation) > correlation_threshold_value): # # We need now to find the cutout which is closer to the point where we located # # The center of the cutout # tag = image_tagged[y_center, x_center] # else: # tag = 0 # print distance, tag #f = open(output_file, "a+") #f.write("%i %f %f %f %f %s %f %i %i\n" % (Angle_number, Omega, Intensity, X, Y, Address, np.amax(correlation), ID, int(tag))) #f.close input_file.close()

[ "mannaro85@gmail.com" ]

mannaro85@gmail.com

1568ebac3d05d96cad143aed5faa28b55aed2fbf

6b6e20004b46165595f35b5789e7426d5289ea48

/data/archivedlogs.py

0172c74c8c3e951453a1aadc5a5a85a31982dc97

[ "Apache-2.0" ]

permissive

anwarchk/quay

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refs/heads/master

2020-09-12T18:53:21.093606

2019-11-15T19:29:02

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Apache-2.0

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import logging from util.registry.gzipinputstream import GzipInputStream from flask import send_file, abort from data.userfiles import DelegateUserfiles, UserfilesHandlers JSON_MIMETYPE = 'application/json' logger = logging.getLogger(__name__) class LogArchive(object): def __init__(self, app=None, distributed_storage=None): self.app = app if app is not None: self.state = self.init_app(app, distributed_storage) else: self.state = None def init_app(self, app, distributed_storage): location = app.config.get('LOG_ARCHIVE_LOCATION') path = app.config.get('LOG_ARCHIVE_PATH', None) handler_name = 'web.logarchive' log_archive = DelegateUserfiles(app, distributed_storage, location, path, handler_name=handler_name) # register extension with app app.extensions = getattr(app, 'extensions', {}) app.extensions['log_archive'] = log_archive return log_archive def __getattr__(self, name): return getattr(self.state, name, None)

[ "jimmy.zelinskie+git@gmail.com" ]

jimmy.zelinskie+git@gmail.com

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/py/riscv/exception_handlers/EnvironmentCallHandler.py

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Leo-Wang-JL/force-riscv

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refs/heads/master

2023-01-28T00:06:58.135651

2020-11-18T02:54:10

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NOASSERTION

2020-06-28T00:51:26

2020-06-12T19:15:26

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# # Copyright (C) [2020] Futurewei Technologies, Inc. # # FORCE-RISCV is 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 # # THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY OR # FIT FOR A PARTICULAR PURPOSE. # See the License for the specific language governing permissions and # limitations under the License. # from base.exception_handlers.ReusableSequence import ReusableSequence from riscv.PrivilegeLevel import PrivilegeLevelRISCV from riscv.exception_handlers.ExceptionHandlerContext import RegisterCallRole class EnvironmentCallHandlerRISCV(ReusableSequence): def __init__(self, aGenThread, aFactory, aStack): super().__init__(aGenThread, aFactory, aStack) self.mDataBlockAddrRegIndex = None self.mActionCodeRegIndex = None def generateHandler(self, **kwargs): try: handler_context = kwargs['handler_context'] except KeyError: self.error('INTERNAL ERROR: one or more arguments to EnvironmentCallHandlerRISCV generate method missing.') self.debug('[EnvironmentCallHandlerRISCV] generate handler address: 0x%x' % self.getPEstate('PC')) self.mAssemblyHelper.clearLabels('EnvironmentCallHandlerRISCV') (_, self.mActionCodeRegIndex) = handler_context.getScratchRegisterIndices(RegisterCallRole.ARGUMENT, 2) priv_level_reg_index = handler_context.getScratchRegisterIndices(RegisterCallRole.PRIV_LEVEL_VALUE) scratch_reg_index = handler_context.getScratchRegisterIndices(RegisterCallRole.TEMPORARY, 1) # Action Code 1: Return to S Mode self.mAssemblyHelper.genMoveImmediate(scratch_reg_index, 1) self.mAssemblyHelper.genConditionalBranchToLabel(self.mActionCodeRegIndex, scratch_reg_index, 8, 'EQ', 'RETURN_TO_S_MODE') # Action Code 2: Load From Data Block self.mAssemblyHelper.genMoveImmediate(scratch_reg_index, 2) self.mAssemblyHelper.genConditionalBranchToLabel(self.mActionCodeRegIndex, scratch_reg_index, 48, 'EQ', 'LOAD_FROM_DATA_BLOCK') # All other action codes: Skip instruction and return self.mAssemblyHelper.genRelativeBranchToLabel(78, 'SKIP_INSTRUCTION') self.mAssemblyHelper.addLabel('RETURN_TO_S_MODE') self._genReturnToSMode(handler_context) self.mAssemblyHelper.addLabel('LOAD_FROM_DATA_BLOCK') self._genLoadRegistersFromDataBlock(handler_context) self.mAssemblyHelper.addLabel('SKIP_INSTRUCTION') self.mAssemblyHelper.genIncrementExceptionReturnAddress(scratch_reg_index, priv_level_reg_index) self.mAssemblyHelper.addLabel('RETURN') self.mAssemblyHelper.genReturn() ## Generate instructions to return to S Mode using the first data block entry as the return # address. # # @param aHandlerContext The exception handler context from which register indices can be # retrieved by role. def _genReturnToSMode(self, aHandlerContext): (self.mDataBlockAddrRegIndex, _) = aHandlerContext.getScratchRegisterIndices(RegisterCallRole.ARGUMENT, 2) priv_level_reg_index = aHandlerContext.getScratchRegisterIndices(RegisterCallRole.PRIV_LEVEL_VALUE) (scratch_reg_index, xstatus_reg_index, inverse_mask_reg_index) = aHandlerContext.getScratchRegisterIndices(RegisterCallRole.TEMPORARY, 3) for priv_level in self.mAssemblyHelper.genPrivilegeLevelInstructions(aPrivLevels=tuple(PrivilegeLevelRISCV)[1:], aInstrCountPerLevel=9, aScratchRegIndex=scratch_reg_index, aPrivLevelRegIndex=priv_level_reg_index): self.mAssemblyHelper.genReadSystemRegister(xstatus_reg_index, ('%sstatus' % priv_level.name.lower())) self.mAssemblyHelper.genMoveImmediate(scratch_reg_index, 1) if priv_level == PrivilegeLevelRISCV.S: self.mAssemblyHelper.genShiftLeftImmediate(scratch_reg_index, 8) elif priv_level == PrivilegeLevelRISCV.M: self.mAssemblyHelper.genShiftLeftImmediate(scratch_reg_index, 11) self.mAssemblyHelper.genNotRegister(inverse_mask_reg_index, aSrcRegIndex=scratch_reg_index) self.mAssemblyHelper.genAndRegister(xstatus_reg_index, inverse_mask_reg_index) self.mAssemblyHelper.genOrRegister(xstatus_reg_index, scratch_reg_index) self.mAssemblyHelper.genWriteSystemRegister(('%sstatus' % priv_level.name.lower()), xstatus_reg_index) self.genInstruction('LD##RISCV', {'rd': scratch_reg_index, 'rs1': self.mDataBlockAddrRegIndex, 'simm12': 0, 'NoRestriction': 1}) self.mAssemblyHelper.genWriteSystemRegister(('%sepc' % priv_level.name.lower()), scratch_reg_index) self.mAssemblyHelper.genRelativeBranchToLabel(52, 'RETURN') ## Generate instructions to load CSRs using values from the data block. # # @param aHandlerContext The exception handler context from which register indices can be # retrieved by role. def _genLoadRegistersFromDataBlock(self, aHandlerContext): # The data block should hold values for the following sequence of registers: xstatus, xepc, # satp, action code register, data block address register (self.mDataBlockAddrRegIndex, _) = aHandlerContext.getScratchRegisterIndices(RegisterCallRole.ARGUMENT, 2) priv_level_reg_index = aHandlerContext.getScratchRegisterIndices(RegisterCallRole.PRIV_LEVEL_VALUE) scratch_reg_index = aHandlerContext.getScratchRegisterIndices(RegisterCallRole.TEMPORARY, 1) for priv_level in self.mAssemblyHelper.genPrivilegeLevelInstructions(aPrivLevels=tuple(PrivilegeLevelRISCV)[1:], aInstrCountPerLevel=4, aScratchRegIndex=scratch_reg_index, aPrivLevelRegIndex=priv_level_reg_index): self.genInstruction('LD##RISCV', {'rd': scratch_reg_index, 'rs1': self.mDataBlockAddrRegIndex, 'simm12': 0, 'NoRestriction': 1}) self.mAssemblyHelper.genWriteSystemRegister(('%sstatus' % priv_level.name.lower()), scratch_reg_index) self.genInstruction('LD##RISCV', {'rd': scratch_reg_index, 'rs1': self.mDataBlockAddrRegIndex, 'simm12': 8, 'NoRestriction': 1}) self.mAssemblyHelper.genWriteSystemRegister(('%sepc' % priv_level.name.lower()), scratch_reg_index) self.genInstruction('LD##RISCV', {'rd': scratch_reg_index, 'rs1': self.mDataBlockAddrRegIndex, 'simm12': 16, 'NoRestriction': 1}) self.mAssemblyHelper.genWriteSystemRegister('satp', scratch_reg_index) self.genInstruction('LD##RISCV', {'rd': self.mActionCodeRegIndex, 'rs1': self.mDataBlockAddrRegIndex, 'simm12': 24, 'NoRestriction': 1}) self.genInstruction('LD##RISCV', {'rd': self.mDataBlockAddrRegIndex, 'rs1': self.mDataBlockAddrRegIndex, 'simm12': 32, 'NoRestriction': 1}) self.mAssemblyHelper.genRelativeBranchToLabel(20, 'RETURN')

[ "jwang1@futurewei.com" ]

jwang1@futurewei.com

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[]

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rajdharmkar/pythoncode

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refs/heads/master

2020-08-07T18:30:55.575632

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try: a = 0 / 19 print a except ArithmeticError: print "This statement is raising an exception" else: print "Welcome" #syntax # # try: # #run code # except exception/error name1: # #run code # except exception error name2: # # run code # else: # # run code

[ "rajdharmkar@gmail.com" ]

rajdharmkar@gmail.com

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/remoview/settings.py

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[]

no_license

Simeon2001/dsc-backend-project

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refs/heads/main

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""" Django settings for remoview project. Generated by 'django-admin startproject' using Django 3.0.7. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'fetw8yeqk_m&738-5s^#3+h2x*!1yag@%8&9xw3l)1^9b*o(&)' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = ['127.0.0.1','removieww.herokuapp.com'] # Application definition INSTALLED_APPS = [ 'movie', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'whitenoise.middleware.WhiteNoiseMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'remoview.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'remoview.wsgi.application' # Database # https://docs.djangoproject.com/en/3.0/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.0/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.0/howto/static-files/ STATIC_URL = '/static/' STATIC_ROOT = os.path.join(BASE_DIR, 'staticfiles') STATICFILES_DIRS = ( os.path.join(BASE_DIR, 'movie/static'), ) if os.getcwd()=='/app': DEBUG=False

[ "jesusanyasimeon@gmail.com" ]

jesusanyasimeon@gmail.com

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670f4ba8ded99b420c3454c6ae35789667880cc8

/tobiko/openstack/openstackclient/_port.py

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[ "Apache-2.0" ]

permissive

FedericoRessi/tobiko

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ce2a8734f8b4203ec38078207297062263c49f6f

refs/heads/master

2022-07-26T22:52:10.273883

2022-07-20T20:04:43

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# Copyright (c) 2020 Red Hat, Inc. # # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from __future__ import absolute_import from tobiko.openstack.openstackclient import _client def port_list(*args, **kwargs): cmd = 'openstack port list {params}' kwargs['format'] = 'json' return _client.execute(cmd, *args, **kwargs) def port_show(port, *args, **kwargs): cmd = f'openstack port show {{params}} {port}' kwargs['format'] = 'json' return _client.execute(cmd, *args, **kwargs) def port_create(port_name, network_name, *args, **kwargs): cmd = f'openstack port create {{params}} --network {network_name} '\ f'{port_name}' kwargs['format'] = 'json' return _client.execute(cmd, *args, **kwargs) def port_delete(ports, *args, **kwargs): cmd = f'openstack port delete {{params}} {" ".join(ports)}' return _client.execute(cmd, *args, **kwargs) def port_set(port, *args, **kwargs): cmd = f'openstack port set {{params}} {port}' return _client.execute(cmd, *args, **kwargs) def port_unset(port, *args, **kwargs): cmd = f'openstack port unset {{params}} {port}' return _client.execute(cmd, *args, **kwargs)

[ "fressi@redhat.com" ]

fressi@redhat.com

d124e275a16bc01dc86309b27e0b3fe2746089f4

9aa5c69ec4ae4c1a54028f6add3327929d81b929

/nodes/camnode

c8c7ba947819137cd6d9dda5703fa04f085ab012

[]

no_license

strawlab/ros_flydra

818fed6cdc9ed8afd17950ea5de7595e91a0483e

0a922c24235d971b665461db6151f5867eee5870

refs/heads/master

2021-01-01T16:06:00.097118

2018-01-19T16:52:20

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2015-04-17T11:46:43

2012-06-14T10:40:47

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#!/usr/bin/env python import threading try: import flydra.camnode except ImportError: import sys import os.path sys.path.insert(0, os.path.expanduser("~/flydra.git")) import flydra.camnode import roslib; roslib.load_manifest('rospy') import rospy def main(): rospy.init_node('flydra_camnode') spinthread = threading.Thread(target=rospy.spin) spinthread.setDaemon(True) spinthread.start() flydra.camnode.main( rospy_init_node=False, #we have already done that cmdline_args=rospy.myargv()[1:] ) rospy.signal_shutdown("quit") if __name__ == '__main__': main()

[ "john.stowers@gmail.com" ]

john.stowers@gmail.com

15713a4aa17b0af607f4967edc241d1f1688c313

b2403817f9221ee3550130572a808194ef4f3fda

/OOP/Polymorphism/SuperMethod.py

660f0501f83896f9d29e77f3e7dd6ac1d1370e5a

[]

no_license

xaviergoby/Python-Data-Structure

e962444ef5b1313c3facbf1fcc315af182b73a26

eaaf31ea98d63e812a75c1d6ecb8722b9c0cf142

refs/heads/master

2020-04-13T00:24:40.896592

2018-11-27T11:51:36

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1

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2018-12-22T21:46:29

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class SomeBaseClass(object): def __init__(self): print('SomeBaseClass.__init__(self) called') class UnsuperChild(SomeBaseClass): def __init__(self): print('Child.__init__(self) called') SomeBaseClass.__init__(self) class SuperChild(SomeBaseClass): def __init__(self): print('SuperChild.__init__(self) called') super(SuperChild, self).__init__() s = SuperChild() print s u = UnsuperChild() # print "**" print u # print "****" class InjectMe(SomeBaseClass): def __init__(self): print('InjectMe.__init__(self) called') super(InjectMe, self).__init__() class UnsuperInjector(UnsuperChild, InjectMe): pass class SuperInjector(SuperChild, InjectMe): pass print "-----------------" x = SuperInjector() #x.mro y = UnsuperInjector() print "MRO.." print SuperInjector.mro() print UnsuperInjector.mro()

[ "sanjay.siddha3@gmail.com" ]

sanjay.siddha3@gmail.com

694bd1b545d6e74fa955877bac704efbbedcc3d4

141b42d9d72636c869ff2ce7a2a9f7b9b24f508b

/myvenv/Lib/site-packages/phonenumbers/shortdata/region_JO.py

10652f5720029f060d27895417cf44fbe7fee355

[ "BSD-3-Clause" ]

permissive

Fa67/saleor-shop

105e1147e60396ddab6f006337436dcbf18e8fe1

76110349162c54c8bfcae61983bb59ba8fb0f778

refs/heads/master

2021-06-08T23:51:12.251457

2018-07-24T08:14:33

168,561,915

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0

BSD-3-Clause

2021-04-18T07:59:12

2019-01-31T17:00:39

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py

"""Auto-generated file, do not edit by hand. JO metadata""" from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata PHONE_METADATA_JO = PhoneMetadata(id='JO', country_code=None, international_prefix=None, general_desc=PhoneNumberDesc(national_number_pattern='[19]\\d{2,4}', possible_length=(3, 5)), emergency=PhoneNumberDesc(national_number_pattern='1(?:12|9[127])|911', example_number='112', possible_length=(3,)), short_code=PhoneNumberDesc(national_number_pattern='1(?:09|1[0-2]|9[0-24-79])|9(?:0903|11|8788)', example_number='111', possible_length=(3, 5)), carrier_specific=PhoneNumberDesc(national_number_pattern='9(?:0903|8788)', example_number='90903', possible_length=(5,)), sms_services=PhoneNumberDesc(national_number_pattern='9(?:0903|8788)', example_number='90903', possible_length=(5,)), short_data=True)

[ "gruzdevasch@gmail.com" ]

gruzdevasch@gmail.com

d7764b7bc2f3043d08cfc2717d91e64ea6735c41

321b4ed83b6874eeb512027eaa0b17b0daf3c289

/142/142.linked-list-cycle-ii.234403149.Accepted.leetcode.py

f353efaede5f020953c36a7ea4c336d0ce14af66

[]

no_license

huangyingw/submissions

7a610613bdb03f1223cdec5f6ccc4391149ca618

bfac1238ecef8b03e54842b852f6fec111abedfa

refs/heads/master

2023-07-25T09:56:46.814504

2023-07-16T07:38:36

143,352,065

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class Solution(object): def detectCycle(self, head): if not head or not head.next: return None q1 = head q2 = head.next while q1 != q2: if not q2 or not q2.next: return None q1 = q1.next q2 = q2.next.next res = head q1 = q1.next while res != q1: res = res.next q1 = q1.next return res

[ "huangyingw@gmail.com" ]

huangyingw@gmail.com

a542c28168e1d849dfb3e5a94a62c3bf549828d5

92b8b1b0914a1bb4f6571bf7c3597ac33dbc58aa

/MLG-Crypto_90/solution.py

ad3cf3c7935532127e6bd9a25f91be9243680449

[]

no_license

leogemetric/cryptoctf-2016

0cb5e5179125d88f8ad14bc3c29ff5aeaeac7787

69b02f0bbfa941d04a2f9af101d1420a096f2437

refs/heads/master

2021-01-19T07:18:53.908002

2016-05-27T22:33:02

null

0

null

UTF-8

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874

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lines = open("mlg_crypto.txt", "r").readlines()[1:-1] subs = {} for line in lines: line = line.strip() for word in line.split("_"): if word in subs: subs[word] += 1 else: subs[word] = 1 print len(subs) print subs space = max(subs, key=lambda x: subs[x]) del subs[space] total = "\n".join(lines) total = total.replace(space, " ") # Most common character is " " # Do some bs substitutions alphabet = "abcdefghijklmnopqrstuvwxyz" i = 0 for sub in subs: total = total.replace(sub, alphabet[i]) i += 1 total = total.replace("_", "").replace("\n\n", "\n") print total # Given the hint, we need to crack the substitution cipher on the ciphertext. # This script will assign each word a letter and print it out # Plugging the output into quipqiup, we kinda decode the message and the flag: # flag{leet_smoked_memes_bro}

[ "jameswang9909@hotmail.com" ]

jameswang9909@hotmail.com

9d7f40b1e1cb4a8d9e542a673113d94d0418e724

c43fbcb4442428e85616f664964d1e27ca396070

/runs/malte/snr_study/simparamsec.py

7a5a04938a59f165f1b98855287c2f20abe47592

[]

no_license

megalut/megalut

ddac89a0dca70e13979d31b80d52233226233ade

63bd4bec8000ad13f4963d464d7b7b4d470a36ab

refs/heads/master

2020-04-15T00:33:42.815988

2018-09-11T08:45:48

20,882,727

2

1

null

2018-09-11T08:45:49

2014-06-16T11:39:14

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UTF-8

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import megalut.sim import numpy as np import random # np.random.choice is only available for newer numpys... import itertools class Simple1(megalut.sim.params.Params): """ No PSF, just round Gaussians, but with Euclid zeropoint and sky level etc. """ def __init__(self): megalut.sim.params.Params.__init__(self) def stat(self): """ stat: called for each catalog (stat is for stationnary) """ return {"snc_type":1} def draw(self, ix, iy, nx, ny): """ draw: called for each galaxy """ ######### No Lensing tru_s1 = 0.0 tru_s2 = 0.0 tru_mu = 1.0 # Params gain = 3.1 # electrons/ADU ron = 4.2 # electrons skyback = 22.35 # mag per arcsec2, dominated by zodiacal light # Don't look at sextractor outptu if you do this! zeropoint = 24.0 + float(ny - iy)/float(ny) * 1.0 # mag. Should give SNR 10 when observing with 3 x 565 second exposures. #zeropoint = 24.9 exptime = 3.0*565.0 # seconds ########## Noise ########## tru_sky_level = 0.01 * (exptime/gain) * 10**(-0.4*(skyback - zeropoint)) # In ADU per pixel. 0.01 because of the pixel size of 0.1 arcsec. tru_gain = gain tru_read_noise = ron ######### No Lensing tru_s1 = 0.0 tru_s2 = 0.0 tru_mu = 1.0 ########## Galaxy ########## tru_type = 0 # 0 Gaussian, 1 sersic tru_mag = 24.5 #tru_mag = 23.0 + float(ny - iy)/float(ny) * 2.5 tru_flux = (exptime / gain) * 10**((tru_mag - zeropoint)/(-2.5)) tru_rad = 4.3/2.0 # Croppers reference galaxy has an extension of 4.3 pixels, but we don't know exactly what this extension means. size_factor = 1.0 # scales the galaxy with respect to Croppers reference tru_sigma = size_factor * tru_rad / 1.1774 # We take Croppers "extension of the source" as the half-light-diameter tru_cropper_snr = (tru_flux) / np.sqrt( np.pi * (size_factor * 13.0/2.0)**2 * tru_sky_level) # For a sky-limited obs, we don't use the gain here tru_g = 0.0 tru_theta = 0.0 (tru_g1, tru_g2) = (tru_g * np.cos(2.0 * tru_theta), tru_g * np.sin(2.0 * tru_theta)) tru_g = np.hypot(tru_g1, tru_g2) return { # It's ugly to not directly fill this dict, but this makes it clearer what is actually returned: "tru_type":tru_type, "tru_flux":tru_flux, "tru_mag":tru_mag, "zeropoint":zeropoint, "skyback":skyback, "tru_rad":tru_rad, "tru_sigma":tru_sigma, #"tru_sersicn":tru_sersicn, "tru_g1":tru_g1, "tru_g2":tru_g2, "tru_g":tru_g, # only useful for some plots "tru_sky_level":tru_sky_level, # in ADU, just for generating noise, will not remain in the image "tru_gain":tru_gain, # in photons/ADU. Make this negative to have no Poisson noise "tru_read_noise":tru_read_noise, # in photons if gain > 0.0, otherwise in ADU.Set this to zero to have no flat Gaussian noise "tru_s1":tru_s1, "tru_s2":tru_s2, "tru_mu":tru_mu, #"tru_psf_sigma":2.0, #"tru_psf_g1":0.0, #"tru_psf_g2":0.0, "tru_cropper_snr":tru_cropper_snr, }

[ "malte.tewes@gmail.com" ]

malte.tewes@gmail.com

2ff4be473a4847f049f4cc30b5101abf4ed13ff8

cc64d03b132b773acae845c52f41fcdcdcaee273

/test/functional/wallet_coinbase_category.py

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[ "MIT" ]

permissive

phlsolo316/vidcoin

aa9aae1e0f2215edadd2df89e1c9b6669abbce76

d6eec232378c329ebc2a31e7d21acf58cf62368d

refs/heads/main

2023-05-26T05:01:32.379060

2021-06-07T02:46:07

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py

#!/usr/bin/env python3 # Copyright (c) 2014-2018 The Bitcoin Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """Test coinbase transactions return the correct categories. Tests listtransactions, listsinceblock, and gettransaction. """ from test_framework.test_framework import VIDCoinTestFramework from test_framework.util import ( assert_array_result ) class CoinbaseCategoryTest(VIDCoinTestFramework): def set_test_params(self): self.num_nodes = 1 def skip_test_if_missing_module(self): self.skip_if_no_wallet() def assert_category(self, category, address, txid, skip): assert_array_result(self.nodes[0].listtransactions(skip=skip), {"address": address}, {"category": category}) assert_array_result(self.nodes[0].listsinceblock()["transactions"], {"address": address}, {"category": category}) assert_array_result(self.nodes[0].gettransaction(txid)["details"], {"address": address}, {"category": category}) def run_test(self): # Generate one block to an address address = self.nodes[0].getnewaddress() self.nodes[0].generatetoaddress(1, address) hash = self.nodes[0].getbestblockhash() txid = self.nodes[0].getblock(hash)["tx"][0] # Coinbase transaction is immature after 1 confirmation self.assert_category("immature", address, txid, 0) # Mine another 99 blocks on top self.nodes[0].generate(99) # Coinbase transaction is still immature after 100 confirmations self.assert_category("immature", address, txid, 99) # Mine one more block self.nodes[0].generate(1) # Coinbase transaction is now matured, so category is "generate" self.assert_category("generate", address, txid, 100) # Orphan block that paid to address self.nodes[0].invalidateblock(hash) # Coinbase transaction is now orphaned self.assert_category("orphan", address, txid, 100) if __name__ == '__main__': CoinbaseCategoryTest().main()

[ "36169687+blockinator@users.noreply.github.com" ]

36169687+blockinator@users.noreply.github.com

d114bd12241b8318364df59f4a6569dd709ee16c

6131b2738a7c087dfa6907c624453576f6f0e393

/flask_project/fish/app/spider/yushu_book.py

027eea09c9285f9ff2cb4b25722aa5d35719a702

[]

no_license

heheddff/myPythonProcess

60ef240130cd02906dc500eedb397a9662c02e5a

885a25dd2a9cd43801306d9e70b9ce89daec4406

refs/heads/master

2020-04-08T19:09:18.192738

2019-08-06T02:52:54

159,642,468

4

5

null

UTF-8

Python

false

872

py

from app.libs.download import DOWNLOAD from flask import current_app class YuShuBook: # isbn_url = 'https://api.douban.com/v2/book/isbn/{}' # keyword_url = 'https://api.douban.com/v2/book/search?q={}&count={}&start={}' isbn_url = 'http://t.yushu.im/v2/book/isbn/{}' keyword_url = 'http://t.yushu.im/v2/book/search?q={}&count={}&start={}' per_page = 15 @classmethod def search_by_isbn(cls, isbn): url = cls.isbn_url.format(isbn) res = DOWNLOAD.get(url) return res @classmethod def search_by_keyword(cls, keyword, page=1): url = cls.keyword_url.format(keyword,current_app.config['PER_PAGE'],cls.calaculed_start(page)) res = DOWNLOAD.get(url) return res @staticmethod def calaculed_start(page): return (page-1)*current_app.config['PER_PAGE']

[ "qq2003qq@126.com" ]

qq2003qq@126.com

f00aab7f8fb74e06325b57eac9054ee1eee7131a

6ed9e72d2676447dcb68683d8823712110bb3b5e

/setup.py

b8e64f5229ce5f874831ed45e3a972b29e0365eb

[]

no_license

brandon-rhodes/python-johnhancock

79a416e037817ee41fa384797a001ee6fcfa31b5

43b1128a9c217fad5ba6c6143cdbea97d6e44e51

refs/heads/master

2023-07-21T17:30:09.358965

2020-07-01T00:34:43

6,408,682

1

null

UTF-8

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308

py

from distutils.core import setup setup( name='johnhancock', version='0.1', description='Sign a PDF using a PNG image', author='Brandon Rhodes', author_email='brandon@rhodesmill.org', #url='', packages=['johnhancock'], install_requires=['Pillow', 'pyPdf', 'reportlab'], )

[ "brandon@rhodesmill.org" ]

brandon@rhodesmill.org

26bc6917e32b1470a9c5e17be693dbd5ee407aea

163bbb4e0920dedd5941e3edfb2d8706ba75627d

/Code/CodeRecords/2560/60580/313785.py

220666b21e9e0726571f13ffcbd14a6e29126aca

[]

no_license

AdamZhouSE/pythonHomework

a25c120b03a158d60aaa9fdc5fb203b1bb377a19

ffc5606817a666aa6241cfab27364326f5c066ff

refs/heads/master

2022-11-24T08:05:22.122011

2020-07-28T16:21:24

259,576,640

2

1

null

UTF-8

Python

false

497

py

size = int(input()) a = 0 while a < size: b = input() list = input().split() num = int(input()) i = 0 d = {} while i < len(list): if (list[i] in d): d[list[i]] = d[list[i]] + 1 else: d[list[i]] = 1 i = i + 1 dict = sorted(d.items(), key=lambda item: item[1]) h = 0 for key, value in d.items(): if (num >= value): num = num - value else: h = h + 1 print(h) a = a + 1

[ "1069583789@qq.com" ]

1069583789@qq.com

cc3722d0a6ada9953627c61b49f3cfed650d7810

cb1d6bd2bf5edb6e38a9094b6a003f8c8d6c01e8

/carrent/myapp/migrations/0001_initial.py

d3efa695ec10d0db57d17a7ac52e39711a0794cf

[]

no_license

wasit7/cs459_2018s

b3d8444f2c697c1211ba949634e132af1692f7bd

dee7edcefd0964e342bf958bf91314e3c27b4be6

refs/heads/master

2020-04-19T15:20:43.543867

2019-02-20T05:01:39

168,271,186

0

null

UTF-8

Python

false

1,074

py

# Generated by Django 2.1.5 on 2019-02-20 04:39 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Car', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('brand', models.CharField(max_length=10)), ('price', models.DecimalField(decimal_places=2, max_digits=10)), ('purchasing_date', models.DateField()), ], ), migrations.CreateModel( name='Customer', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('firstname', models.CharField(max_length=20)), ('lastname', models.CharField(max_length=20)), ('dob', models.DateField()), ('tel', models.CharField(max_length=10)), ], ), ]

[ "wasit7@gmail.com" ]

wasit7@gmail.com

d7a4a0f9aeec15da14a66873cdfff142ccbe3ea8

70e79590cd66ba1cd37ff977890164baa3d5c53c

/blog/migrations/0002_blogpage.py

cb87b9ef8a74366436525193a302f6efca545ccb

[]

no_license

thibaudcolas/codersofcolour

7206c18f9c0e31f206f7d1dccaef2df1e46f5ecf

b085d5ec14c08d04ab2439f0a79730996cb87785

refs/heads/master

2022-12-02T15:06:20.984555

2020-06-10T18:06:02

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2020-07-26T14:16:37

2020-06-06T17:06:10

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# Generated by Django 3.0.7 on 2020-06-06 16:42 from django.db import migrations, models import django.db.models.deletion import wagtail.core.fields class Migration(migrations.Migration): dependencies = [ ('wagtailcore', '0045_assign_unlock_grouppagepermission'), ('blog', '0001_initial'), ] operations = [ migrations.CreateModel( name='BlogPage', fields=[ ('page_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='wagtailcore.Page')), ('date', models.DateField(verbose_name='Post date')), ('intro', models.CharField(max_length=250)), ('body', wagtail.core.fields.RichTextField(blank=True)), ], options={ 'abstract': False, }, bases=('wagtailcore.page',), ), ]

[ "thibaudcolas@gmail.com" ]

thibaudcolas@gmail.com

cb6eb73063e7f44c86ad29a66545b4d90f775ce6

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/leetcode/118_generate.py

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[]

no_license

Cjz-Y/shuati

877c3f162ff75f764aa514076caccad1b6b43638

9ab35dbffed7865e41b437b026f2268d133357be

refs/heads/master

2023-02-02T10:34:05.705945

2020-12-14T01:41:39

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from typing import List class Solution: def generate(self, numRows: int) -> List[List[int]]: result = [] if numRows == 0: return result result.append([1]) for i in range(1, numRows): temp_array = [] for j in range(i + 1): temp_int = 0 if j - 1 >= 0: temp_int += result[i - 1][j - 1] if j < i: temp_int += result[i - 1][j] temp_array.append(temp_int) result.append(temp_array) return result

[ "cjz.y@hotmail.com" ]

cjz.y@hotmail.com

6bb690802c91855dd0f6fa1add90a9b09c97c432

1e53216c58f3c7843031721305590b83dbaed3f2

/week_four/form_practice/form_app/views.py

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[]

no_license

MTaylorfullStack/python_july_20

991852ba12d6f06d6b93b8efc60b66ee311b5cb3

bdfb0d9a74300f2d6743ac2d108571692ca43ad9

refs/heads/master

2022-12-12T18:03:00.886048

2020-08-27T23:53:31

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from django.shortcuts import render, redirect import random def index(request): return render(request, 'form.html') def success(request): if "gold" not in request.session: request.session['gold'] = 0 return render(request, "result.html") def process(request): print(request.POST['user_name']) request.session['name'] = request.POST['user_name'] request.session['loc'] = request.POST['location'] request.session['lang'] = request.POST['fav_lang'] request.session['comment'] = request.POST['comment'] return redirect('/success') def process_gold(request): print(request.POST) # add to some gold variable that we can view on the templates # need to know how much gold to add, which form was submitted if "farm" in request.POST: gold = int(random.random() * 10 + 10) request.session['gold'] += gold if "cave" in request.POST: gold = int(random.random() * 5 + 5) request.session['gold'] += gold if "house" in request.POST: gold = int(random.random() * 3 + 2) request.session['gold'] += gold if "casino" in request.POST: gold = int(random.random() * 50) if int(random.random()*10) > 5: # gain request.session['gold'] += gold else: # lose request.session['gold'] -= gold return redirect('/success') def reset(request): request.session.flush() return redirect('/')

[ "mtaylor@codingdojo.com" ]

mtaylor@codingdojo.com

b1c59fe04d1ba3b07bb1c5709673c2d7f7d2fd61

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/virt/Lib/site-packages/pygments/lexers/gsql.py

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[ "MIT" ]

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JoaoSevergnini/metalpy

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refs/heads/main

2023-04-18T17:25:26.474485

2022-09-18T20:44:45

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MIT

2022-11-03T20:07:50

2022-03-27T22:21:01

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""" pygments.lexers.gsql ~~~~~~~~~~~~~~~~~~~~ Lexers for TigerGraph GSQL graph query language :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. """ import re from pygments.lexer import RegexLexer, include, bygroups, using, this, words from pygments.token import Keyword, Punctuation, Comment, Operator, Name,\ String, Number, Whitespace, Token __all__ = ["GSQLLexer"] class GSQLLexer(RegexLexer): """ For GSQL queries (version 3.x). .. versionadded:: 2.10 """ name = 'GSQL' url = 'https://docs.tigergraph.com/dev/gsql-ref' aliases = ['gsql'] filenames = ['*.gsql'] flags = re.MULTILINE | re.IGNORECASE tokens = { 'root': [ include('comment'), include('keywords'), include('clauses'), include('accums'), include('relations'), include('strings'), include('whitespace'), include('barewords'), include('operators'), ], 'comment': [ (r'\#.*', Comment.Single), (r'/\*(.|\n)*?\*/', Comment.Multiline), ], 'keywords': [ (words(( 'ACCUM', 'AND', 'ANY', 'API', 'AS', 'ASC', 'AVG', 'BAG', 'BATCH', 'BETWEEN', 'BOOL', 'BOTH', 'BREAK', 'BY', 'CASE', 'CATCH', 'COALESCE', 'COMPRESS', 'CONTINUE', 'COUNT', 'CREATE', 'DATETIME', 'DATETIME_ADD', 'DATETIME_SUB', 'DELETE', 'DESC', 'DISTRIBUTED', 'DO', 'DOUBLE', 'EDGE', 'ELSE', 'END', 'ESCAPE', 'EXCEPTION', 'FALSE', 'FILE', 'FILTER', 'FLOAT', 'FOREACH', 'FOR', 'FROM', 'GRAPH', 'GROUP', 'GSQL_INT_MAX', 'GSQL_INT_MIN', 'GSQL_UINT_MAX', 'HAVING', 'IF', 'IN', 'INSERT', 'INT', 'INTERPRET', 'INTERSECT', 'INTERVAL', 'INTO', 'IS', 'ISEMPTY', 'JSONARRAY', 'JSONOBJECT', 'LASTHOP', 'LEADING', 'LIKE', 'LIMIT', 'LIST', 'LOAD_ACCUM', 'LOG', 'MAP', 'MATCH', 'MAX', 'MIN', 'MINUS', 'NOT', 'NOW', 'NULL', 'OFFSET', 'OR', 'ORDER', 'PATH', 'PER', 'PINNED', 'POST_ACCUM', 'POST-ACCUM', 'PRIMARY_ID', 'PRINT', 'QUERY', 'RAISE', 'RANGE', 'REPLACE', 'RESET_COLLECTION_ACCUM', 'RETURN', 'RETURNS', 'RUN', 'SAMPLE', 'SELECT', 'SELECT_VERTEX', 'SET', 'SRC', 'STATIC', 'STRING', 'SUM', 'SYNTAX', 'TARGET', 'TAGSTGT', 'THEN', 'TO', 'TO_CSV', 'TO_DATETIME', 'TRAILING', 'TRIM', 'TRUE', 'TRY', 'TUPLE', 'TYPEDEF', 'UINT', 'UNION', 'UPDATE', 'VALUES', 'VERTEX', 'WHEN', 'WHERE', 'WHILE', 'WITH'), prefix=r'(?<!\.)', suffix=r'\b'), Token.Keyword) ], 'clauses': [ (words(('accum', 'having', 'limit', 'order', 'postAccum', 'sample', 'where')), Name.Builtin) ], 'accums': [ (words(('andaccum', 'arrayaccum', 'avgaccum', 'bagaccum', 'bitwiseandaccum', 'bitwiseoraccum', 'groupbyaccum', 'heapaccum', 'listaccum', 'MapAccum', 'maxaccum', 'minaccum', 'oraccum', 'setaccum', 'sumaccum')), Name.Builtin), ], 'relations': [ (r'(-\s?)($.*\:\w?$)(\s?-)', bygroups(Operator, using(this), Operator)), (r'->|<-', Operator), (r'[.*{}\[\]\<\>\_]', Punctuation), ], 'strings': [ (r'"([^"\\]|\\.)*"', String), (r'@{1,2}\w+', Name.Variable), ], 'whitespace': [ (r'\s+', Whitespace), ], 'barewords': [ (r'[a-z]\w*', Name), (r'(\d+\.\d+|\d+)', Number), ], 'operators': [ (r'\$|[^0-9|\/|\-](\-\=|\+\=|\*\=|\\\=|\=|\=\=|\=\=\=|\+|\-|\*|\\|\+\=|\>|\<)[^\>|\/]', Operator), (r'(\||$|$|\,|\;|\=|\-|\+|\*|\/|\>|\<|\:)', Operator), ], }

[ "joao.a.severgnini@gmail.com" ]

joao.a.severgnini@gmail.com

d87f498e4a7d959b5fc54f1785b26a4afec1578f

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/torabot/frontend/admin/auth.py

1e1558234cd037fcc769c44fbecd2bb02d103592

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permissive

sorunis/torabot

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refs/heads/master

2020-12-11T07:19:54.269478

2014-05-04T18:15:54

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from functools import wraps from ...core.local import is_admin from ..auth import require_session from .errors import AdminAuthError def require_admin(f): @require_session @wraps(f) def inner(user_id, *args, **kargs): if not is_admin: raise AdminAuthError() return f(*args, **kargs) return inner

[ "answeror@gmail.com" ]

answeror@gmail.com

fa66b83ea082481837e05a8ceeb01bb4f447c3b4

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p02700/s830417832.py

15b00c59d92d438ff9c194f96ea1df0e3dd49e2a

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

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0

null

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a, b, c, d = map(int,input().split()) for i in range(100): if c > b: c -= b elif c <= b: print("Yes") exit() if a > d: a -= d elif a <= d: print("No") exit()

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

66529651+Aastha2104@users.noreply.github.com

4a86fdc37d06384976bba51986fb40e2f225bded

a62390c9497363a9afbaac79336b3e1cb04e096e

/Day 23/turtle_crossing_game.py

dee8b9aae7eb48119d8fb87fe7a405c05db3634d

[]

no_license

PravinSelva5/100-Days-of-Code

2cf3ae9766bdfd053532823214276e291024d5a2

3a299af3de5f4f0cab05fc73563df29e3c292560

refs/heads/master

2023-07-13T06:29:15.360016

2021-08-22T16:50:49

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py

import time from turtle import Screen from player import Player from car_manager import CarManager from scoreboard import Scoreboard screen = Screen() screen.setup(width=600, height=600) screen.tracer(0) player = Player() car_manager = CarManager() scoreboard = Scoreboard() screen.listen() screen.onkey(player.go_up, "Up") game_is_on = True while game_is_on: time.sleep(0.1) screen.update() car_manager.create_car() car_manager.move_cars() # Detect collision with car for car in car_manager.all_cars: if car.distance(player) < 20: game_is_on = False scoreboard.game_over() # Detect a successful crossing if player.is_at_finish_line(): player.go_to_start() car_manager.next_level() scoreboard.increase_level() screen.exitonclick()

[ "pravin.selvarajah.eng@gmail.com" ]

pravin.selvarajah.eng@gmail.com

0d89b4421f4197551bd71933e7e38fc0a07c5a69

012837eafe45c8f7ee5fc77d4c4d7725d5314c5c

/workshops/9-section/5-clazz.py

387fdf5912dcfa0b0f19553d2a5d7c3b235a1fe0

[ "MIT" ]

permissive

ai-erorr404/opencv-practice

e9408cf006779a678cf3a30fc60e9dbeb3c8e493

60ef5e4aec61ee5f7e675fb919e8f612e59f664a

refs/heads/master

2021-02-08T11:17:04.763522

2020-02-22T09:43:04

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MIT

2020-03-01T12:35:02

2020-03-01T12:35:01

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py

#!/usr/bin/env python3 # -*- coding=utf-8 -*- import cv2 as cv from goto import with_goto import math import numpy as np """ KLT光流跟踪法二：静止点删除与跟踪轨迹绘制。处置流程为输入第一帧图像 -> 特征点检测 -> 保持特征点 -> 输入第二帧图像（开始跟踪） -> 跟踪特征点 -> 删除损失特征点 -> 保存跟踪特征点 -> 用第二帧图像替换第一帧图像 -> 用后续输入帧替换第二帧 -> 选择新的特征点替换损失的特征点 -> 保存特征点数据并回到输入第二帧图像，开始循环。 """ MAX_CORNERS = 100 features_params = dict(maxCorners=MAX_CORNERS, qualityLevel=0.01, minDistance=10, blockSize=3, mask=None) lk_params = dict(nextPts=None, winSize=(31, 31), maxLevel=3, criteria=(cv.TERM_CRITERIA_EPS | cv.TERM_CRITERIA_COUNT, 30, 0.01)) color_set = np.random.randint(0, 255, (MAX_CORNERS, 3)) # points = [] @with_goto def main(): capture = cv.VideoCapture("../../../raspberry-auto/pic/vtest.avi") ret, frame = capture.read() if True is not ret: print("can't read any video") goto .end prv_frame = cv.cvtColor(frame, cv.COLOR_BGR2GRAY) prv_frame = cv.medianBlur(prv_frame, 3) prv_corners = cv.goodFeaturesToTrack(prv_frame, **features_params) # points += prv_corners while True: ret, frame = capture.read() if True is not ret: print("can't read next frame.") break next_frame = cv.cvtColor(frame, cv.COLOR_BGR2GRAY) next_frame = cv.medianBlur(next_frame, 3) next_corners, status, err = cv.calcOpticalFlowPyrLK(prv_frame, next_frame, prv_corners, **lk_params) old_pts = prv_corners[1 == status] new_pts = next_corners[1 == status] for i, (older, newer) in enumerate(zip(old_pts, new_pts)): a, b = older.ravel() c, d = newer.ravel() width = math.pow(abs(a - c), 2) height = math.pow(abs(b - d), 2) hypotenuse = math.sqrt(width + height) if 2 < hypotenuse: cv.circle(frame, (c, d), 5, color_set[i].tolist(), -1) cv.line(frame, (c, d), (a, b), color_set[i].tolist(), 2, cv.LINE_8) # else: # new_pts.remove(older) # if 40 > len(new_pts): # next_corners, status, err = cv.calcOpticalFlowPyrLK(prv_frame, next_frame, prv_corners, **lk_params) # new_pts = next_corners[1 == status] cv.imshow("frame", frame) key = cv.waitKey(30) & 0xff if 27 == key: break # 更新前一帧的内容 prv_frame = next_frame.copy() prv_corners = new_pts.reshape(-1, 1, 2) label .end capture.release() cv.destroyAllWindows() if "__main__" == __name__: main()

[ "afterloe@foxmail.com" ]

afterloe@foxmail.com

a149db09fb1a3483f75201ee41bba85f77be8210

8999b8522b18a52d09e1c76d28ee77f0d022e8fd

/pyrarcrack/pyrarcrack.py

1e8a4da42a11f4804de1c921b09bf62577372f1e

[ "Apache-2.0" ]

permissive

abhushansahu/py-rarcrack

7bbba825e7e9794b538818e3f1958758f58ca767

4326da72d9a351f1e64c8657cacada08bdbada0b

refs/heads/master

2021-01-14T16:04:03.282548

2019-10-27T18:09:40

null

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#!/usr/bin/python # ################################################## ######## Please Don't Remove Author Name ######### ############### Thanks ########################### ################################################## # # __author__=''' Suraj Singh surajsinghbisht054@gmail.com http://bitforestinfo.blogspot.in/ ''' # =================Other Configuration================ # Usages : usage = "usage: %prog [options] " # Version Version="%prog 0.0.1" # ==================================================== print __author__ # Import Modules import rarfile,optparse,sys,fileinput,time class main: def __init__(self): self.extract_input_data() self.check_input_conditions() self.start_cracking_engine() def time_management(self): print "[*] Starting Time ",self.starttime print "[*] Closing Time ",self.closetime print "[*] Password Try ",self.pwdtries print "[*] Average Speed ",self.pwdtries/(self.closetime-self.starttime) return def start_cracking_engine(self): print "[+] Loading rarfile... ", fileload=rarfile.RarFile(self.filename) print "OK" if self.dictionery: print "[+] Using Dictonery Option.... OK" print "[+] Loading Dictonery File... OK" print "[+] Brute Force Started ..." for i in fileinput.input(self.dictionery): pwd=i.strip('\n') self.extracting_engine(fileload,pwd) if self.crunch: print "[+] Connection Stablished as Pipe... OK" print "[+] Brute Force Started ..." for i in sys.stdin: pwd=i.strip('\n') self.extracting_engine(fileload,pwd) self.show_info_message() return def check_input_conditions(self): if not self.filename: print "[ Error ] Please Provide Rar File Path " sys.exit(0) print "[+] Checking Rar File Condition ...", if not rarfile.is_rarfile(self.filename): print "[ Error ] Bad Rar file" sys.exit(0) print " Ok" if not self.dictionery and not self.crunch: print "[ Error ] Please Provide Dictonery Or Crunch Or Password Option" sys.exit(0) if self.dictionery and self.crunch: print "[ Error ] Please Choose Any One Option From Dict or Crunch" sys.exit(0) return def extracting_engine(self,file,pwd): self.pwdresult=None try: file.extractall(self.output,pwd=str(pwd)) self.show_info_message(pwd=pwd) self.pwdresult=True except Exception as e: if str(e).find('Permission')!=-1: self.show_info_message(pwd=pwd) self.pwdresult=True else: self.pwdresult=None self.pwdtries=self.pwdtries+1 return def show_info_message(self,pwd=None): if pwd: data="\n\t !-Congratulation-! \n\t\tPassword Found = "+pwd+'\n' else: data="\n\t Sorry! Password Not Found \n\n" print data if self.result: print "[+] Saving Output in ",self.result f=open(self.result,'a') f.write(data) f.close() self.closetime=time.time() self.time_management() if pwd: print "[+] Exiting..." sys.exit(0) return def extract_input_data(self): self.starttime=time.time() self.pwdtries=0 # Extracting Function parser = optparse.OptionParser(usage, version=Version) parser.add_option("-f", "--file", action="store", type="string", dest="filename",help="Please Specify Path of Rar File", default=None) parser.add_option("-d", "--dict", action="store", type="string", dest="dictionery", help="Please Specify Path of Dictionery.", default=None) parser.add_option("-o", "--output", action="store", type="string", dest="output", help="Please Specify Path for Extracting", default='.') parser.add_option("-r", "--result", action="store", type="string", dest="result", help="Please Specify Path if You Want to Save Result", default=None) parser.add_option("-c", "--crunch", action="store", type="string", dest="crunch", help="For Using Passwords Directly from crunch use this arguments: -c True or --crunch True", default=None) (option, args)=parser.parse_args() # Record Inputs Data print "[+] Extracting Input Data..." self.filename=option.filename self.dictionery=option.dictionery self.output=option.output self.result=option.result self.crunch=option.crunch return if __name__ == '__main__': main()

[ "surajsinghbisht054@gmail.com" ]

surajsinghbisht054@gmail.com

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/qiskit/extensions/standard/ry.py

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permissive

azulehner/qiskit-sdk-py

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refs/heads/master

2021-05-12T19:59:23.051113

2018-01-11T09:12:18

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2018-01-11T14:11:08

2018-01-11T14:11:07

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py

# -*- coding: utf-8 -*- # pylint: disable=invalid-name # Copyright 2017 IBM RESEARCH. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================= """ Rotation around the y-axis. """ from qiskit import CompositeGate from qiskit import Gate from qiskit import InstructionSet from qiskit import QuantumCircuit from qiskit import QuantumRegister from qiskit.extensions.standard import header # pylint: disable=unused-import class RYGate(Gate): """rotation around the y-axis.""" def __init__(self, theta, qubit, circ=None): """Create new ry single qubit gate.""" super(RYGate, self).__init__("ry", [theta], [qubit], circ) def qasm(self): """Return OPENQASM string.""" qubit = self.arg[0] theta = self.param[0] return self._qasmif("ry(%s) %s[%d];" % (theta, qubit[0].name, qubit[1])) def inverse(self): """Invert this gate. ry(theta)^dagger = ry(-theta) """ self.param[0] = -self.param[0] return self def reapply(self, circ): """Reapply this gate to corresponding qubits in circ.""" self._modifiers(circ.ry(self.param[0], self.arg[0])) def ry(self, theta, q): """Apply ry to q.""" if isinstance(q, QuantumRegister): gs = InstructionSet() for j in range(q.sz): gs.add(self.ry(theta, (q, j))) return gs self._check_qubit(q) return self._attach(RYGate(theta, q, self)) QuantumCircuit.ry = ry CompositeGate.ry = ry

[ "diego.plan9@gmail.com" ]

diego.plan9@gmail.com

0185585a72a6d43205d0b55e5098876e40118a49

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/server/apps/rooms/urls.py

56e2c3207ecacd33289f58af7f389a47a8768e7b

[]

no_license

AlAstroMoody/chat

3c1f33a343c72836867587200abbe2adedf0bbc4

7a528d62ccf5e4ed1d478a6479e41d37d08b87f8

refs/heads/main

2023-03-25T04:29:55.547258

2021-03-15T02:30:19

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null

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py

from django.urls import path from .views import RoomView from .views import ReportView rooms_urlpatterns = [ path('room/', RoomView.as_view(), name='room'), path('room/<uuid:uuid>-<str:token>/report/', ReportView.as_view(), name='report'), ]

[ "aastrotenko@mail.ru" ]

aastrotenko@mail.ru

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/models/cnn_bilstm_attention.py

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[ "MIT" ]

permissive

Eurus-Holmes/Tumor2Graph

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refs/heads/main

2023-07-07T22:15:17.869378

2021-09-02T03:31:46

390,660,583

5

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null

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from torch import nn import torch import torch.nn.functional as F class TextCNN(nn.Module): def __init__(self, feaSize, contextSizeList, filterNum, name='textCNN'): super(TextCNN, self).__init__() self.name = name moduleList = [] for i in range(len(contextSizeList)): moduleList.append( nn.Sequential( nn.Conv1d(in_channels=feaSize, out_channels=filterNum, kernel_size=contextSizeList[i], padding=contextSizeList[i]//2) ) ) self.conv1dList = nn.ModuleList(moduleList) self.process=nn.Sequential(nn.BatchNorm1d(filterNum), nn.ReLU()) def forward(self, x): # x: batchSize × seqLen × feaSize x = x.transpose(1,2) # => batchSize × feaSize × seqLen x = [conv(x) for conv in self.conv1dList] # => scaleNum * (batchSize × filterNum × seqLen) x_new=[self.process(new) for new in x] pooler=[torch.max(new,dim=2)[0] for new in x] pooling=[torch.relu(pool) for pool in pooler] return torch.cat(x_new, dim=1).transpose(1,2),torch.cat(pooling,dim=1) # => batchSize × seqLen × scaleNum*filterNum class Simple_Protein_Predict(nn.Module): def __init__(self,lstm_hidden_size,lstm_hidden_size_1,contextSizeList,filter_number): super(Simple_Protein_Predict, self).__init__() self.lstm_hidden_size = lstm_hidden_size self.lstm_hidden_size_1 =lstm_hidden_size_1 self.embed_matrix=nn.Embedding(22,64) self.lstm = nn.LSTM(len(contextSizeList)*filter_number,self.lstm_hidden_size,num_layers=2,batch_first=True,bidirectional=True) self.embed_matrix1 = nn.Embedding(22, 128) self.lstm1 = nn.LSTM(len(contextSizeList)*filter_number, self.lstm_hidden_size_1, num_layers=2,batch_first=True,bidirectional=True) self.dropout=nn.Dropout(.2) self.predict = nn.Linear(4 * self.lstm_hidden_size_1, 4 * self.lstm_hidden_size) self.linear=nn.Linear(self.lstm_hidden_size+self.lstm_hidden_size_1+2*filter_number*len(contextSizeList),2 * self.lstm_hidden_size) self.final_linear=nn.Linear(2 * self.lstm_hidden_size,1) self.activation = nn.Sigmoid() self.attention_layer1 = nn.Sequential( nn.Linear(self.lstm_hidden_size_1, self.lstm_hidden_size_1), nn.ReLU(inplace=True)) self.attention_layer = nn.Sequential( nn.Linear(self.lstm_hidden_size, self.lstm_hidden_size), nn.ReLU(inplace=True)) self.textCNN = TextCNN(64 , contextSizeList, filter_number) self.textCNN_second = TextCNN(128 , contextSizeList, filter_number) def exponent_neg_manhattan_distance(self, x1, x2): ''' Helper function for the similarity estimate of the LSTMs outputs ''' return torch.exp(-torch.sum(torch.abs(x1 - x2), dim=1)) def attention_net_with_w(self, lstm_out, lstm_hidden): ''' :param lstm_out: [batch_size, len_seq, n_hidden * 2] :param lstm_hidden: [batch_size, num_layers * num_directions, n_hidden] :return: [batch_size, n_hidden] ''' lstm_tmp_out = torch.chunk(lstm_out, 2, -1) # h [batch_size, time_step, hidden_dims] h = lstm_tmp_out[0] + lstm_tmp_out[1] # [batch_size, num_layers * num_directions, n_hidden] lstm_hidden = torch.sum(lstm_hidden, dim=1) # [batch_size, 1, n_hidden] lstm_hidden = lstm_hidden.unsqueeze(1) # atten_w [batch_size, 1, hidden_dims] atten_w = self.attention_layer(lstm_hidden) # [batch_size, time_step, hidden_dims] m = nn.Tanh()(h) # atten_context [batch_size, 1, time_step] atten_context = torch.bmm(atten_w, m.transpose(1, 2)) # softmax_w [batch_size, 1, time_step] softmax_w = F.softmax(atten_context, dim=-1) # context [batch_size, 1, hidden_dims] context = torch.bmm(softmax_w, h) result = context.squeeze(1) return result def attention_net_with_w_virus(self, lstm_out, lstm_hidden): ''' :param lstm_out: [batch_size, len_seq, n_hidden * 2] :param lstm_hidden: [batch_size, num_layers * num_directions, n_hidden] :return: [batch_size, n_hidden] ''' lstm_tmp_out = torch.chunk(lstm_out, 2, -1) # h [batch_size, time_step, hidden_dims] h = lstm_tmp_out[0] + lstm_tmp_out[1] # [batch_size, num_layers * num_directions, n_hidden] lstm_hidden = torch.sum(lstm_hidden, dim=1) # [batch_size, 1, n_hidden] lstm_hidden = lstm_hidden.unsqueeze(1) # atten_w [batch_size, 1, hidden_dims] atten_w = self.attention_layer1(lstm_hidden) # [batch_size, time_step, hidden_dims] m = nn.Tanh()(h) # atten_context [batch_size, 1, time_step] atten_context = torch.bmm(atten_w, m.transpose(1, 2)) # softmax_w [batch_size, 1, time_step] softmax_w = F.softmax(atten_context, dim=-1) # context [batch_size, 1, hidden_dims] context = torch.bmm(softmax_w, h) result = context.squeeze(1) return result def forward(self, seq_1, seq_2, label): output1 = self.embed_matrix(seq_1) conv1, pooling_abs = self.textCNN(output1) orgin_output, output1 = self.lstm(conv1) # final_hidden_state : [batch_size, num_layers * num_directions, n_hidden] final_hidden_state = output1[0].permute(1, 0, 2) atten_out = self.attention_net_with_w(orgin_output, final_hidden_state) output2 = self.embed_matrix1(seq_2) conv2, pooling_virus = self.textCNN_second(output2) orgin_output1, output2= self.lstm1(conv2) # final_hidden_state : [batch_size, num_layers * num_directions, n_hidden] final_hidden_state1 = output2[0].permute(1, 0, 2) atten_out1 = self.attention_net_with_w_virus(orgin_output1, final_hidden_state1) predictions = self.linear(torch.cat((pooling_abs,atten_out,pooling_virus,atten_out1), 1)) #predictions=self.exponent_neg_manhattan_distance(output1,output2).squeeze() predictions=self.final_linear(predictions) predictions=self.activation(predictions) predictions=predictions.squeeze() #predictions = self.activation(output).squeeze() # 截取#CLS#标签所对应的一条向量, 也就是时间序列维度(seq_len)的第0条 # 下面是[batch_size, hidden_dim] 到 [batch_size, 1]的映射 # 我们在这里要解决的是二分类问题 # predictions = self.dense(first_token_tensor) # 用sigmoid函数做激活, 返回0-1之间的值 #predictions = self.activation(outputs) compute_loss = nn.BCELoss() if label is not None: # 计算loss loss = compute_loss(predictions, label) return loss, predictions else: return predictions

[ "noreply@github.com" ]

Eurus-Holmes.noreply@github.com

18f94647b65564f8455ffaaba1d6773b058d9354

6a2c101774903441bc43bcafaef788a7465d38bb

/music_controller/spotify/migrations/0001_initial.py

6d380eb7954ae335440d0885ddd1edc8b8424db7

[]

no_license

naistangz/house-party

9faa66e12a528881cd7e613fede9da2a1ccf8c19

2bad502dececbdf7d273c14b9ea96dd9dc9a0c45

refs/heads/main

2023-02-17T04:35:31.012691

2021-01-17T12:07:36

330,140,403

1

null

UTF-8

Python

false

835

py

# Generated by Django 3.1.4 on 2021-01-03 14:17 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='SpotifyToken', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('user', models.CharField(max_length=50, unique=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('refresh_token', models.CharField(max_length=150)), ('access_token', models.CharField(max_length=150)), ('expires_in', models.DateTimeField()), ('token_type', models.CharField(max_length=50)), ], ), ]

[ "a6anaistang@hotmail.co.uk" ]

a6anaistang@hotmail.co.uk

2f58447eca540956aaaab1ccc21b07ff3717c1a8

4d2443d54c8a1104cad8ecc60e417e8a5af69450

/entertainment_center.py

e0bef0107dacc1b001e5bdd21b53091f6f0b3a90

[]

no_license

xueweiyema/movie_website

4fa73dfbaf0a395e72eb6edcf91995dd5a2136e5

9770f994a291b51d4fd1a7032fc21a5ac3c537aa

refs/heads/master

2021-01-19T07:09:44.646186

2017-04-24T06:41:19

87,527,117

0

null

UTF-8

Python

false

2,334

py

import media import fresh_tomatoes titles = [ "Pirate Radio", "The Social Network", "Hidden Figures", "The Martian", "Good Will Hunting", "The Lives of Others" ] storylines = [ '''A band of rogue DJs that captivated Britain, playing the music that defined a generation and standing up to a government that wanted classical music, and nothing else, on the airwaves.''', '''Harvard student Mark Zuckerberg creates the social networking site that would become known as Facebook, but is later sued by two brothers who claimed he stole their idea, and the co-founder who was later squeezed out of the business.''', '''The story of a team of African-American women mathematicians who served a vital role in NASA during the early years of the US space program.''', '''An astronaut becomes stranded on Mars after his team assume him dead, and must rely on his ingenuity to find a way to signal to Earth that he is alive.''', '''Will Hunting, a janitor at M.I.T., has a gift for mathematics, but needs help from a psychologist to find direction in his life.''', '''In 1984 East Berlin, an agent of the secret police, conducting surveillance on a writer and his lover, finds himself becoming increasingly absorbed by their lives.''', ] wiki_head = "https://upload.wikimedia.org/wikipedia/en/" youtube_head = "https://youtu.be/" wiki_suffixes = [ "e/e3/The_boat_that_rocked_poster.jpg", "7/7a/Social_network_film_poster.jpg", '4/4f/The_official_poster_for_the_film_Hidden_Figures%2C_2016.jpg', 'thumb/c/cd/The_Martian_film_poster.jpg/220px-The_Martian_film_poster.jpg', 'thumb/b/b8/Good_Will_Hunting_theatrical_poster.jpg/220px-Good_Will_Hunting_theatrical_poster.jpg', '9/9f/Leben_der_anderen.jpg' ] youtube_suffixes = [ "qX1SSiFWF-s", "lB95KLmpLR4", 'RK8xHq6dfAo', 'ej3ioOneTy8', 'PaZVjZEFkRs', 'FppW5ml4vdw' ] imdbs = ["7.4", "7.7", "7.9", "8", "8.3", "8.5"] posters = [wiki_head + wiki_suffix for wiki_suffix in wiki_suffixes] trailers = [ youtube_head + youtube_suffix for youtube_suffix in youtube_suffixes ] movies = [] for n in range(len(titles)): movies.append( media.Movie(titles[n], storylines[n], posters[n], trailers[n], imdbs[ n])) print media.Movie.__doc__ fresh_tomatoes.open_movies_page(movies)

[ "123456" ]

123456

34e2afbf4f41a4aff51f96b7411be3d80992143d

95495baeb47fd40b9a7ecb372b79d3847aa7a139

/swagger_client/models/i_ospfv3_log_adjacency_changes.py

7ded1a2c2292e58b760cb914f7d1efd4e458559b

[]

no_license

pt1988/fmc-api

b1d8ff110e12c13aa94d737f3fae9174578b019c

075f229585fcf9bd9486600200ff9efea5371912

refs/heads/main

2023-01-07T09:22:07.685524

2020-10-30T03:21:24

308,226,669

0

null

UTF-8

Python

false

3,614

py

# coding: utf-8 """ Cisco Firepower Management Center Open API Specification **Specifies the REST URLs and methods supported in the Cisco Firepower Management Center API. Refer to the version specific [REST API Quick Start Guide](https://www.cisco.com/c/en/us/support/security/defense-center/products-programming-reference-guides-list.html) for additional information.** # noqa: E501 OpenAPI spec version: 1.0.0 Contact: tac@cisco.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class IOspfv3LogAdjacencyChanges(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'include_details': 'bool' } attribute_map = { 'include_details': 'includeDetails' } def __init__(self, include_details=None): # noqa: E501 """IOspfv3LogAdjacencyChanges - a model defined in Swagger""" # noqa: E501 self._include_details = None self.discriminator = None if include_details is not None: self.include_details = include_details @property def include_details(self): """Gets the include_details of this IOspfv3LogAdjacencyChanges. # noqa: E501 :return: The include_details of this IOspfv3LogAdjacencyChanges. # noqa: E501 :rtype: bool """ return self._include_details @include_details.setter def include_details(self, include_details): """Sets the include_details of this IOspfv3LogAdjacencyChanges. :param include_details: The include_details of this IOspfv3LogAdjacencyChanges. # noqa: E501 :type: bool """ self._include_details = include_details def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(IOspfv3LogAdjacencyChanges, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, IOspfv3LogAdjacencyChanges): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

[ "pt1988@gmail.com" ]

pt1988@gmail.com

0e2f843c6f77029a11b47217263877d7bcd0f437

aeea7889a986e23ababbfc470e5fa97a4982bca0

/devel/lib/python2.7/dist-packages/pal_interaction_msgs/msg/_WebGuiEvent.py

068b236c1fdeb1d78c4037e05350bf894fd1ee86

[]

no_license

robstolarz/sturdy-broccoli

834798751985a0e77c8791859d9d5a8398da0416

2e4ae8f1966f01cab4938b8c5b42e3cfd1d9370a

refs/heads/master

2021-01-20T07:09:07.867184

2017-05-15T14:10:56

89,967,465

0

null

UTF-8

Python

false

5,214

py

# This Python file uses the following encoding: utf-8 """autogenerated by genpy from pal_interaction_msgs/WebGuiEvent.msg. Do not edit.""" import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class WebGuiEvent(genpy.Message): _md5sum = "bd4a90be174b9e14b06cf397c1359fb1" _type = "pal_interaction_msgs/WebGuiEvent" _has_header = False #flag to mark the presence of a Header object _full_text = """# message used by rb_flango string name # Expected contents: # goTo # setLanguage string arg """ __slots__ = ['name','arg'] _slot_types = ['string','string'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: name,arg :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(WebGuiEvent, self).__init__(*args, **kwds) #message fields cannot be None, assign default values for those that are if self.name is None: self.name = '' if self.arg is None: self.arg = '' else: self.name = '' self.arg = '' def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self.name length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) if python3: buff.write(struct.pack('<I%sB'%length, length, *_x)) else: buff.write(struct.pack('<I%ss'%length, length, _x)) _x = self.arg length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) if python3: buff.write(struct.pack('<I%sB'%length, length, *_x)) else: buff.write(struct.pack('<I%ss'%length, length, _x)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x)))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x)))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ try: end = 0 start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.name = str[start:end].decode('utf-8') else: self.name = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.arg = str[start:end].decode('utf-8') else: self.arg = str[start:end] return self except struct.error as e: raise genpy.DeserializationError(e) #most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self.name length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) if python3: buff.write(struct.pack('<I%sB'%length, length, *_x)) else: buff.write(struct.pack('<I%ss'%length, length, _x)) _x = self.arg length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) if python3: buff.write(struct.pack('<I%sB'%length, length, *_x)) else: buff.write(struct.pack('<I%ss'%length, length, _x)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x)))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x)))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ try: end = 0 start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.name = str[start:end].decode('utf-8') else: self.name = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.arg = str[start:end].decode('utf-8') else: self.arg = str[start:end] return self except struct.error as e: raise genpy.DeserializationError(e) #most likely buffer underfill _struct_I = genpy.struct_I

[ "robert.stolarz@yandex.com" ]

robert.stolarz@yandex.com

d86ce35082ffe54da97e3fc64900cb94273d31e3

01031a3d3a33f7591185049e0e44526d9b852821

/SLAM/FastSLAM/fast_slam.py

5fb58f0f6c79cffce9e14f0fb876674a3d575e77

[ "MIT" ]

permissive

matthewgan/PythonRobotics

8555e2afe95d09c12c5e18ab4658b8e9e3f6817c

ba926c6307e353dbef0d6ee67f5156ec923dc974

refs/heads/master

2021-04-06T03:39:43.702250

2018-03-10T18:38:06

null

0

null

UTF-8

Python

false

7,420

py

""" Fast SLAM example author: Atsushi Sakai (@Atsushi_twi) """ import numpy as np import math import matplotlib.pyplot as plt # EKF state covariance Cx = np.diag([0.5, 0.5, math.radians(30.0)])**2 # Simulation parameter Qsim = np.diag([0.2, math.radians(1.0)])**2 Rsim = np.diag([1.0, math.radians(10.0)])**2 DT = 0.1 # time tick [s] SIM_TIME = 50.0 # simulation time [s] MAX_RANGE = 20.0 # maximum observation range M_DIST_TH = 2.0 # Threshold of Mahalanobis distance for data association. STATE_SIZE = 3 # State size [x,y,yaw] LM_SIZE = 2 # LM srate size [x,y] N_PARTICLE = 100 # number of particle show_animation = True class Particle: def __init__(self, N_LM): self.w = 1.0 / N_PARTICLE self.x = 0.0 self.y = 0.0 self.yaw = 0.0 self.lm = np.zeros((N_LM, 2)) def normalize_weight(particles): sumw = sum([particles[ip].w for ip in range(N_PARTICLE)]) for i in range(N_PARTICLE): particles[i].w = particles[i].w / sumw return particles def calc_final_state(particles): particles = normalize_weight(particles) xEst = np.zeros((STATE_SIZE, 1)) for i in range(N_PARTICLE): xEst[0, 0] += particles[i].w * particles[i].x xEst[1, 0] += particles[i].w * particles[i].y xEst[2, 0] += particles[i].w * particles[i].yaw xEst[2, 0] = pi_2_pi(xEst[2, 0]) return xEst def predict_particles(particles, u): for i in range(N_PARTICLE): px = np.zeros((STATE_SIZE, 1)) px[0, 0] = particles[i].x px[1, 0] = particles[i].y px[2, 0] = particles[i].yaw ud = u + np.matrix(np.random.randn(1, 2)) * Rsim # add noise px = motion_model(px, ud) particles[i].x = px[0, 0] particles[i].y = px[1, 0] particles[i].yaw = px[2, 0] return particles def add_new_lm(particle, z): r = z[0, 0] b = z[0, 1] lm_id = int(z[0, 2]) s = math.sin(particle.yaw + b) c = math.cos(particle.yaw + b) particle.lm[lm_id, 0] = particle.x + r * c particle.lm[lm_id, 1] = particle.y + r * s return particle def compute_weight(particle, z): lm_id = int(z[0, 2]) lmxy = np.matrix(particle.lm[lm_id, :]) zxy = z[0, 0:2] # print(lmxy) # print(zxy) dx = (lmxy - zxy).T S = np.eye(2) num = math.exp(-0.5 * dx.T * np.linalg.inv(S) * dx) den = 2.0 * math.pi * math.sqrt(np.linalg.det(S)) w = num / den return w def update_with_observation(particles, z): for iz in range(len(z[:, 0])): lmid = int(z[iz, 2]) for ip in range(N_PARTICLE): # new landmark if abs(particles[ip].lm[lmid, 0]) <= 0.1: particles[ip] = add_new_lm(particles[ip], z[iz, :]) # known landmark else: w = compute_weight(particles[ip], z[iz, :]) # w = p(z_k | x_k) particles[ip].w = particles[ip].w * w # particles(i)= feature_update(particles(i), zf, idf, R) return particles def fast_slam(particles, PEst, u, z): # Predict particles = predict_particles(particles, u) # Observation particles = update_with_observation(particles, z) xEst = calc_final_state(particles) return xEst, PEst def calc_input(): v = 1.0 # [m/s] yawrate = 0.1 # [rad/s] u = np.matrix([v, yawrate]).T return u def observation(xTrue, xd, u, RFID): xTrue = motion_model(xTrue, u) # add noise to gps x-y z = np.matrix(np.zeros((0, 3))) for i in range(len(RFID[:, 0])): dx = RFID[i, 0] - xTrue[0, 0] dy = RFID[i, 1] - xTrue[1, 0] d = math.sqrt(dx**2 + dy**2) angle = pi_2_pi(math.atan2(dy, dx)) if d <= MAX_RANGE: dn = d + np.random.randn() * Qsim[0, 0] # add noise anglen = angle + np.random.randn() * Qsim[1, 1] # add noise zi = np.matrix([dn, anglen, i]) z = np.vstack((z, zi)) # add noise to input ud1 = u[0, 0] + np.random.randn() * Rsim[0, 0] ud2 = u[1, 0] + np.random.randn() * Rsim[1, 1] ud = np.matrix([ud1, ud2]).T xd = motion_model(xd, ud) return xTrue, z, xd, ud def motion_model(x, u): F = np.matrix([[1.0, 0, 0], [0, 1.0, 0], [0, 0, 1.0]]) B = np.matrix([[DT * math.cos(x[2, 0]), 0], [DT * math.sin(x[2, 0]), 0], [0.0, DT]]) x = F * x + B * u return x def calc_n_LM(x): n = int((len(x) - STATE_SIZE) / LM_SIZE) return n def calc_LM_Pos(x, z): zp = np.zeros((2, 1)) zp[0, 0] = x[0, 0] + z[0, 0] * math.cos(x[2, 0] + z[0, 1]) zp[1, 0] = x[1, 0] + z[0, 0] * math.sin(x[2, 0] + z[0, 1]) return zp def get_LM_Pos_from_state(x, ind): lm = x[STATE_SIZE + LM_SIZE * ind: STATE_SIZE + LM_SIZE * (ind + 1), :] return lm def search_correspond_LM_ID(xAug, PAug, zi): """ Landmark association with Nearest Neighbor """ nLM = calc_n_LM(xAug) mdist = [] for i in range(nLM): # lm = get_LM_Pos_from_state(xAug, i) # # y, S, H = calc_innovation(lm, xAug, PAug, zi, i) # mdist.append(y.T * np.linalg.inv(S) * y) pass mdist.append(M_DIST_TH) # new landmark minid = mdist.index(min(mdist)) return minid def pi_2_pi(angle): while(angle > math.pi): angle = angle - 2.0 * math.pi while(angle < -math.pi): angle = angle + 2.0 * math.pi return angle def main(): print(__file__ + " start!!") time = 0.0 # RFID positions [x, y] RFID = np.array([[10.0, -2.0], [15.0, 10.0], [3.0, 15.0], [-5.0, 20.0]]) N_LM = RFID.shape[0] # State Vector [x y yaw v]' xEst = np.matrix(np.zeros((STATE_SIZE, 1))) xTrue = np.matrix(np.zeros((STATE_SIZE, 1))) PEst = np.eye(STATE_SIZE) xDR = np.matrix(np.zeros((STATE_SIZE, 1))) # Dead reckoning # history hxEst = xEst hxTrue = xTrue hxDR = xTrue particles = [Particle(N_LM) for i in range(N_PARTICLE)] while SIM_TIME >= time: time += DT u = calc_input() xTrue, z, xDR, ud = observation(xTrue, xDR, u, RFID) xEst, PEst = fast_slam(particles, PEst, ud, z) x_state = xEst[0:STATE_SIZE] # store data history hxEst = np.hstack((hxEst, x_state)) hxDR = np.hstack((hxDR, xDR)) hxTrue = np.hstack((hxTrue, xTrue)) if show_animation: plt.cla() plt.plot(RFID[:, 0], RFID[:, 1], "*k") plt.plot(xEst[0], xEst[1], "xr") for i in range(N_PARTICLE): plt.plot(particles[i].x, particles[i].y, ".r") # plot landmark for i in range(calc_n_LM(xEst)): plt.plot(xEst[STATE_SIZE + i * 2], xEst[STATE_SIZE + i * 2 + 1], "xg") plt.plot(np.array(hxTrue[0, :]).flatten(), np.array(hxTrue[1, :]).flatten(), "-b") plt.plot(np.array(hxDR[0, :]).flatten(), np.array(hxDR[1, :]).flatten(), "-k") plt.plot(np.array(hxEst[0, :]).flatten(), np.array(hxEst[1, :]).flatten(), "-r") plt.axis("equal") plt.grid(True) plt.pause(0.001) if __name__ == '__main__': main()

[ "asakai.amsl+github@gmail.com" ]

asakai.amsl+github@gmail.com

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miikanissi/python_course_summer_2020

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def search(array, n): for i in array: if i == n: return True return False arr = [23,4,89,19,0,700,30] print("Number 19 found: ", search(arr, 19)) print("Number 20 found: ", search(arr, 20))

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# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # # Code generated by aaz-dev-tools # -------------------------------------------------------------------------------------------- # pylint: skip-file # flake8: noqa from azure.cli.core.aaz import * @register_command( "reservations reservation archive", ) class Archive(AAZCommand): """Archiving a `Reservation` which is in cancelled/expired state and move it to `Archived` state. :example: Archiving a reservation az reservations reservation archive --reservation-order-id 40000000-aaaa-bbbb-cccc-20000000000 --reservation-id 50000000-aaaa-bbbb-cccc-200000000000 """ _aaz_info = { "version": "2022-11-01", "resources": [ ["mgmt-plane", "/providers/microsoft.capacity/reservationorders/{}/reservations/{}/archive", "2022-11-01"], ] } def _handler(self, command_args): super()._handler(command_args) self._execute_operations() return None _args_schema = None @classmethod def _build_arguments_schema(cls, *args, **kwargs): if cls._args_schema is not None: return cls._args_schema cls._args_schema = super()._build_arguments_schema(*args, **kwargs) # define Arg Group "" _args_schema = cls._args_schema _args_schema.reservation_id = AAZStrArg( options=["--reservation-id"], help="Id of the Reservation Item", required=True, ) _args_schema.reservation_order_id = AAZStrArg( options=["--reservation-order-id"], help="Order Id of the reservation", required=True, ) return cls._args_schema def _execute_operations(self): self.pre_operations() self.ReservationArchive(ctx=self.ctx)() self.post_operations() @register_callback def pre_operations(self): pass @register_callback def post_operations(self): pass class ReservationArchive(AAZHttpOperation): CLIENT_TYPE = "MgmtClient" def __call__(self, *args, **kwargs): request = self.make_request() session = self.client.send_request(request=request, stream=False, **kwargs) if session.http_response.status_code in [200]: return self.on_200(session) return self.on_error(session.http_response) @property def url(self): return self.client.format_url( "/providers/Microsoft.Capacity/reservationOrders/{reservationOrderId}/reservations/{reservationId}/archive", **self.url_parameters ) @property def method(self): return "POST" @property def error_format(self): return "ODataV4Format" @property def url_parameters(self): parameters = { **self.serialize_url_param( "reservationId", self.ctx.args.reservation_id, required=True, ), **self.serialize_url_param( "reservationOrderId", self.ctx.args.reservation_order_id, required=True, ), } return parameters @property def query_parameters(self): parameters = { **self.serialize_query_param( "api-version", "2022-11-01", required=True, ), } return parameters def on_200(self, session): pass class _ArchiveHelper: """Helper class for Archive""" __all__ = ["Archive"]

[ "noreply@github.com" ]

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n, k = [int(w) for w in input().split()] la = [int(w) for w in input().split()] for i in range(k, n): cond = la[i] > la[i-k] print("Yes" if cond else "No")

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import collections import gc import pytest from bloop.models import BaseModel, Column from bloop.types import Integer from bloop.util import ( Sentinel, WeakDefaultDictionary, index, ordered, walk_subclasses, ) def test_index(): """Index by each object's value for an attribute""" class Person: def __init__(self, name): self.name = name p1, p2, p3 = Person("foo"), Person("bar"), Person("baz") assert index([p1, p2, p3], "name") == { "foo": p1, "bar": p2, "baz": p3 } @pytest.mark.parametrize("obj", [None, object(), 2, False, "abc"]) def test_ordered_basic_objects(obj): """Things that don't need to be unpacked or flattened for comparison""" assert ordered(obj) is obj @pytest.mark.parametrize("it", [ iter(list("bac")), ["b", "c", "a"], ("c", "a", "b"), (x for x in "cba"), {"a", "c", "b"} ]) def test_ordered_iterable(it): """Any non-mapping iterable is sorted, even if it's consumable""" expected = ["a", "b", "c"] assert ordered(it) == expected @pytest.mark.parametrize("mapping", [ {"b": True, "a": "zebra", "c": None}, collections.OrderedDict([("c", None), ("b", True), ("a", "zebra")]) ]) def test_ordered_mapping(mapping): """Mappings are flattened into (key, value) tuples and then those tuples are sorted""" expected = [ ("a", "zebra"), ("b", True), ("c", None) ] assert ordered(mapping) == expected @pytest.mark.parametrize("obj, expected", [ # mapping int -> set(str) ({3: {"a", "b"}, 2: {"c", "b"}, 1: {"a", "c"}}, [(1, ["a", "c"]), (2, ["b", "c"]), (3, ["a", "b"])]), # mapping str -> list(int) ({"b": [1, 2], "a": [3, 2], "c": [1, 3]}, [("a", [2, 3]), ("b", [1, 2]), ("c", [1, 3])]), # list(set(bool)) ([{False}, {True}], [[False], [True]]), ]) def test_ordered_recursion(obj, expected): """Mappings and iterables inside each other are sorted and flattened""" assert ordered(obj) == expected def test_walk_subclasses(): class A: pass class B: # Not included pass class C(A): pass class D(A): pass class E(C, A): # would be visited twice without dedupe pass class F(D, A): # would be visited twice without dedupe pass # list instead of set ensures we don't false succeed on duplicates subclasses = sorted(walk_subclasses(A), key=lambda c: c.__name__) assert subclasses == [C, D, E, F] def test_sentinel_uniqueness(): sentinel = Sentinel("name") same_sentinel = Sentinel("NAME") assert sentinel is same_sentinel def test_sentinel_repr(): foo = Sentinel("foo") assert repr(foo) == "<Sentinel[foo]>" def test_weakref_default_dict(): """Provides defaultdict behavior for a WeakKeyDictionary""" class MyModel(BaseModel): id = Column(Integer, hash_key=True) data = Column(Integer) def new(i): obj = MyModel(id=i, data=2 * i) return obj weak_dict = WeakDefaultDictionary(lambda: {"foo": "bar"}) n_objs = 10 objs = [new(i) for i in range(n_objs)] for obj in objs: # default_factory is called assert weak_dict[obj] == {"foo": "bar"} # don't keep a reference to the last obj, throws off the count below del obj calls = 0 while weak_dict: del objs[0] gc.collect() calls += 1 assert len(weak_dict) == len(objs) assert calls == n_objs

[ "joe.mcross@gmail.com" ]

joe.mcross@gmail.com

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/src/joins/models.py

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Tushant/socialSharingCampaign

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refs/heads/master

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from django.db import models # Create your models here. class Join(models.Model): email = models.EmailField() friend = models.ForeignKey("self", related_name='referral',\ null=True, blank=True) ref_id = models.CharField(max_length=120, default='ABC', unique=True) count_added = models.ForeignKey("self",null=True,related_name='count',blank=True) ip_address = models.CharField(max_length=120, default='ABC') timestamp = models.DateTimeField(auto_now_add = True, auto_now=False) updated = models.DateTimeField(auto_now_add = False, auto_now=True) def __unicode__(self): return "%s" %(self.email) class Meta: unique_together = ("email", "ref_id",) # class JoinFriends(models.Model): # email = models.OneToOneField(Join, related_name="Sharer") # friends = models.ManyToManyField(Join, related_name="Friend", \ # null=True, blank=True) # emailall = models.ForeignKey(Join, related_name='emailall') # def __unicode__(self): # print "friends are ", self.friends.all() # print self.emailall # print self.email # return self.email.email

[ "programmertushant@gmail.com" ]

programmertushant@gmail.com