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

cfbd00fd91d4aaf5d1b858f999bbb011bd8c64b4

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/user/admin.py

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[]

no_license

hacking-mango/hackerthon_team9_backend

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refs/heads/main

2023-06-16T15:14:05.181076

2021-07-11T03:29:13

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py

from django.contrib import admin from .models import User @admin.register(User) class UserAdmin(admin.ModelAdmin): list_display = ("nickname", "email", "profile_image", "created_at", "position") list_display_links = ( "nickname", "email", )

[ "tjdntjr123@gmail.com" ]

tjdntjr123@gmail.com

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/test/test_body_64.py

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[]

no_license

wildatheart/magento2-api-client

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refs/heads/master

2021-07-14T16:01:17.644472

2017-10-18T13:33:08

107,412,121

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# coding: utf-8 """ Magento Community No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: 2.2 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import os import sys import unittest import swagger_client from swagger_client.rest import ApiException from swagger_client.models.body_64 import Body64 class TestBody64(unittest.TestCase): """ Body64 unit test stubs """ def setUp(self): pass def tearDown(self): pass def testBody64(self): """ Test Body64 """ # FIXME: construct object with mandatory attributes with example values #model = swagger_client.models.body_64.Body64() pass if __name__ == '__main__': unittest.main()

[ "sander@wildatheart.eu" ]

sander@wildatheart.eu

60efe30010d22cb52db0a4c4d10f599a859c97e4

bcf85b8dc5aa1c98af4a61c0404b0be7563ebfee

/ecommerc2-API/src/orders/migrations/0005_auto_20170124_1611.py

ca9e35c278df75c8f47761c1a3bba7a3ef69730f

[]

no_license

karolius/ecommerc2-api

39bdf662d54cb4be8db27d346efd27a7fbc8be84

efaf0cc5b7251e1b55fc08f68d7fab00974d25e7

refs/heads/master

2021-01-11T09:10:17.455407

2017-02-16T23:45:16

81,380,329

0

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Python

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# -*- coding: utf-8 -*- # Generated by Django 1.10.2 on 2017-01-24 15:11 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('orders', '0004_order'), ] operations = [ migrations.AlterField( model_name='order', name='billing_address', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='billing_address', to='orders.UserAddress'), ), migrations.AlterField( model_name='order', name='shipping_address', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='shipping_address', to='orders.UserAddress'), ), migrations.AlterField( model_name='order', name='user', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='orders.UserCheckout'), ), ]

[ "karolius127@gmail.com" ]

karolius127@gmail.com

f353000de3bc8694b405d19bd1acbf833e3fe217

e23a4f57ce5474d468258e5e63b9e23fb6011188

/115_testing/_exercises/_templates/temp/Github/_Level_2/python_test_api-master/test_update_issue.py

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[]

no_license

syurskyi/Python_Topics

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refs/heads/master

2023-06-08T19:29:16.214395

2023-05-29T17:09:11

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2023-02-16T03:08:10

2019-11-09T02:58:47

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____ base_api ______ BaseApi ______ xmltodict ______ d_t_ ______ requests c_ TestUpdateIssue(BaseApi ___ test_update_issue issue_id _ _create_issue() # obviously we need to create an issue before updating it url _ base_url + '/issue/' + issue_id current_time _ st.(d_t_.d_t_.now())[0:-7] issue_summary _ 'Summary updated at ' + current_time issue_description _ 'Description updated at ' + current_time params _ { 'summary': issue_summary, 'description': issue_description } r _ request(url, 'post', params) assert_for_status_code_and_content_type(r, 200, 'text/plain;charset=UTF-8') url _ base_url + '/issue/' + issue_id r _ request(url, 'get') response_dict _ xmltodict.parse(r.text) assert_for_status_code_and_content_type(r, 200) aE..(response_dict['issue']['@id'], issue_id) ___ field __ response_dict['issue']['field']: __ field['@name'] __ 'summary': aE..(field['value'], issue_summary) __ field['@name'] __ 'description': aE..(field['value'], issue_description) ___ test_update_not_existing_issue url _ base_url + '/issue/' + 'kjhfkaskafk' current_time _ st.(d_t_.d_t_.now())[0:-7] issue_summary _ 'Summary updated at ' + current_time issue_description _ 'Description updated at ' + current_time params _ { 'summary': issue_summary, 'description': issue_description } r _ request(url, 'post', params) response_dict _ xmltodict.parse(r.text) assert_for_status_code_and_content_type(r, 404) aT..(response_dict['error']) ___ test_update_issue_without_credentials issue_id _ _create_issue() url _ base_url + '/issue/' + issue_id current_time _ st.(d_t_.d_t_.now())[0:-7] issue_summary _ 'Summary updated at ' + current_time issue_description _ 'Description updated at ' + current_time params _ { 'summary': issue_summary, 'description': issue_description } r _ requests.post(url, params) assert_for_status_code_and_content_type(r, 401) response_dict _ xmltodict.parse(r.text) aT..(response_dict['error'])

[ "sergejyurskyj@yahoo.com" ]

sergejyurskyj@yahoo.com

b7b54593d0b42f343c2a103add3226a69f8d758e

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/models.py

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[]

no_license

Virucek/gb_framework

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refs/heads/main

2023-02-13T14:01:57.808400

2021-01-04T22:20:07

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2021-01-04T22:20:20

2020-12-08T18:44:10

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""" Модели проекта """ import json from patterns.behavioral.observer import Observer, Subject from patterns.creational.prototype import PrototypeMixin from patterns.orm.unit_of_work import DomainObject class User: def __init__(self, name): self.name = name class Student(User, DomainObject): def __init__(self, name): self.courses = [] super(Student, self).__init__(name) class Teacher(User, DomainObject): pass class UserFactory: types = { 'student': Student, 'teacher': Teacher, } @classmethod def create(cls, type_name, name): return cls.types[type_name](name) # Категории Курсов class Category(DomainObject): # id_ = 0 def __init__(self, name, parent_category=None): # self.id = Category.id_ # Category.id_ += 1 self.name = name self.courses = [] self.parent_category = parent_category self.child_categories = [] def __getitem__(self, item): return self.courses[item] @property def course_count(self): res = len(self.courses) if self.child_categories: for cat_ in self.child_categories: res += cat_.course_count return res def add_child(self, category): self.child_categories.append(category) # Курсы class Course(PrototypeMixin, Subject): def __init__(self, name, category): self.name = name self.category = category self.category.courses.append(self) self.students = [] super().__init__() def __getitem__(self, item): return self.students[item] def add_student(self, student): self.students.append(student) student.courses.append(self) self._subject_state = student self._notify() return CourseStudent(self, student) @property def new_student(self): return self._subject_state class OnlineCourse(Course, DomainObject): pass class OfflineCourse(Course, DomainObject): pass class CourseFactory: types = { 'online': OnlineCourse, 'offline': OfflineCourse, } @classmethod def create(cls, type_name, name, category): return cls.types[type_name](name, category) class SmsNotifier(Observer): def update(self, subject): print(f'SMS: студент {subject.new_student.name} присоединился к курсу {subject.name}') class EmailNotifier(Observer): def update(self, subject): print(f'EMAIL: студент {subject.new_student.name} присоединился к курсу {subject.name}') class CourseStudent(DomainObject): # Курс - студент, связь многие ко многим def __init__(self, course, student): self.course = course self.student = student class BaseSerializer: def __init__(self, object): self.object = object def save(self): try: return json.dumps(self.object) except TypeError as e: print(f'Problem trying to serialize object to json:\n {e}') def load(self): try: return json.loads(self.object) except json.JSONDecodeError as e: print(f'Problem trying to deserialize object from json:\n {e}') # Основной интерфейс class MainInterface: def __init__(self): self.teachers = [] self.students = [] self.courses = [] self.categories = [] @staticmethod def create_user(type_name, name): return UserFactory.create(type_name, name) @staticmethod def create_category(name, parent_category=None): category = Category(name, parent_category) if parent_category is not None: parent_category.add_child(category) return category @staticmethod def create_course(type_name, name, category): return CourseFactory.create(type_name, name, category) def get_category_by_id(self, category_id): for cat in self.categories: if cat.id == category_id: return cat raise Exception(f'Категория с id {id} отсутствует') def get_courses_by_category(self, category_id): try: category_id = int(category_id) except ValueError: print('Category id должен быть числом!') else: category = self.get_category_by_id(category_id) return category.courses @staticmethod def get_course_types(): return list(CourseFactory.types.keys()) def get_course_by_name(self, name): for course in self.courses: if course.name == name: return course raise Exception(f'Курс с именем {name} отсутствует') def get_category_tree(self): categories_list = [] if self.categories: for cat in self.categories: if cat.parent_category is None: categories_list.append(cat) return categories_list def get_students_by_course(self, course): course = self.get_course_by_name(course) return course.students def get_student_by_name(self, name): for student in self.students: if student.name == name: return student raise Exception(f'Студент с именем {name} отсутствует')

[ "aykin.yakov@gmail.com" ]

aykin.yakov@gmail.com

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/python/boj/2566.py

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[]

no_license

ChoHyoungSeo/Algorithm_prac

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02327623b5ea2211f4618e60b0bdcc61e16e1c5a

refs/heads/master

2023-08-17T11:26:55.159895

2023-08-17T10:52:34

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ans = 0 ans_idx01 = 0 ans_idx02 = 0 for i in range(9): tmp = list(map(int, input().split())) if max(tmp) > ans: ans_idx01 = i ans_idx02 = tmp.index(max(tmp)) ans = max(tmp) print(ans) print(ans_idx01 + 1, ans_idx02+1)

[ "francesco.johs@gmail.com" ]

francesco.johs@gmail.com

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/pardus/playground/mnurolcay/2011/util/misc/q4wine/actions.py

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[]

no_license

aligulle1/kuller

bda0d59ce8400aa3c7ba9c7e19589f27313492f7

7f98de19be27d7a517fe19a37c814748f7e18ba6

refs/heads/master

2021-01-20T02:22:09.451356

2013-07-23T17:57:58

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#!/usr/bin/python # -*- coding: utf-8 -*- # # Licensed under the GNU General Public License, version 3. # See the file http://www.gnu.org/copyleft/gpl.txt from pisi.actionsapi import cmaketools from pisi.actionsapi import get from pisi.actionsapi import pisitools WorkDir="q4wine-%s" % get.srcVERSION().replace("_0", "-r") def setup(): cmaketools.configure("-DWITH_ICOUTILS=ON \ -DWITH_WINETRIKS=ON \ -DWITH_WINEAPPDB=ON \ -DWITH_DBUS=ON") def build(): cmaketools.make() def install(): cmaketools.rawInstall("DESTDIR=%s" % get.installDIR()) pisitools.dodoc("ChangeLog", "copying", "LICENSE", "README")

[ "yusuf.aydemir@istanbul.com" ]

yusuf.aydemir@istanbul.com

bc99649fa3b238fc810e29b01a44612be761c05b

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/aaai/compute-results-transfer-pca.py

647d34f500f58a76c7c7f9d996bed06f9acb9606

[]

no_license

nipunbatra/transferable-energy-breakdown-old

7fa02dd84b0eb37875c190c5a06bfc9d1a2a9218

bc12de92d620d33e1ca4cf841af341eb3d4bcd76

refs/heads/master

2021-08-22T09:24:40.322431

2017-11-29T21:18:43

78,712,453

1

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from aaai18.common import compute_rmse_fraction from create_matrix import * appliance_index = {appliance: APPLIANCES_ORDER.index(appliance) for appliance in APPLIANCES_ORDER} import os import pickle source, target = sys.argv[1:] cost = 'l21' out = {} for static_fac in ['None']: out[static_fac] = {} for lam in [0]: out[static_fac][lam] = {} for train_percentage in range(10, 110, 10): out[static_fac][lam][train_percentage] ={} for random_seed in range(5): out[static_fac][lam][train_percentage][random_seed] = {} name = "{}-{}-{}-{}-{}-{}-{}".format(source, target, static_fac, lam, random_seed, train_percentage, cost) directory = os.path.expanduser('~/aaai2017/pca-transfer_{}_{}_{}/'.format(source, target, cost)) filename = os.path.join(directory, name + '.pkl') try: pr = pickle.load(open(filename, 'r')) pred = pr['Predictions'] for appliance in APPLIANCES_ORDER[1:]: prediction = pred[appliance] if appliance == "hvac": prediction = prediction[range(4, 10)] out[static_fac][lam][train_percentage][random_seed][appliance]= \ compute_rmse_fraction(appliance, prediction, target)[2] print("Computed for: {}".format(name)) except Exception, e: print(e) print("Exception") out[static_fac][lam][train_percentage] = pd.DataFrame(out[static_fac][lam][train_percentage]).mean(axis=1) pickle.dump(out, open("predictions/pca-{}-{}-transfer-cv.pkl".format(source, target),"w"))

[ "nipunb@iiitd.ac.in" ]

nipunb@iiitd.ac.in

6605bf10714ea0486e0502e4fc5f35a2777c12f3

5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d

/alipay/aop/api/domain/MerchantBrandListResult.py

eae81a409220a5d4ea5ff4cfe0ca4568824e6cec

[ "Apache-2.0" ]

permissive

alipay/alipay-sdk-python-all

8bd20882852ffeb70a6e929038bf88ff1d1eff1c

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refs/heads/master

2023-08-27T21:35:01.778771

2023-08-23T07:12:26

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2023-04-25T04:54:02

2018-05-14T09:40:54

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#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * from alipay.aop.api.domain.BrandResult import BrandResult class MerchantBrandListResult(object): def __init__(self): self._brand_list_result = None @property def brand_list_result(self): return self._brand_list_result @brand_list_result.setter def brand_list_result(self, value): if isinstance(value, list): self._brand_list_result = list() for i in value: if isinstance(i, BrandResult): self._brand_list_result.append(i) else: self._brand_list_result.append(BrandResult.from_alipay_dict(i)) def to_alipay_dict(self): params = dict() if self.brand_list_result: if isinstance(self.brand_list_result, list): for i in range(0, len(self.brand_list_result)): element = self.brand_list_result[i] if hasattr(element, 'to_alipay_dict'): self.brand_list_result[i] = element.to_alipay_dict() if hasattr(self.brand_list_result, 'to_alipay_dict'): params['brand_list_result'] = self.brand_list_result.to_alipay_dict() else: params['brand_list_result'] = self.brand_list_result return params @staticmethod def from_alipay_dict(d): if not d: return None o = MerchantBrandListResult() if 'brand_list_result' in d: o.brand_list_result = d['brand_list_result'] return o

[ "jiandong.jd@antfin.com" ]

jiandong.jd@antfin.com

f84d21bcb1c3dcf50eec8e83c47db0eb90eada0f

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/Inflearn_algo/section4_BinarySearch/pro3_Music_BS.py

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[]

no_license

sds1vrk/Algo_Study

e40ca8eb348d1fc6f88d883b26195b9ee6f35b2e

fbbc21bb06bb5dc08927b899ddc20e6cde9f0319

refs/heads/main

2023-06-27T05:49:15.351644

2021-08-01T12:43:06

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# 뮤직비디오 (결정 알고리즘) # M개 이하로 짜르기 import sys sys.stdin=open("input.txt","r") n,m=map(int,input().split()) a=list(map(int,input().split())) # 결정 알고리즘, lt와 rt정하기 lt=1 rt=sum(a) res=0 def count(mid): # cnt는 DVD의 저장은 일단 1개 cnt=1 # DVD에 저장되는 노래들의 합 hap=0 for i in a: hap+=i if hap>mid: # 용량이 초과되서 새로운 DVD가 필요 cnt+=1 # 그리고 첫번째 곡으로 i가 들어감 hap=i return cnt maxx=max(a) while lt<=rt: # 자를수 있는 중간값 찾기 mid=(lt+rt)//2 # 만약 count함수에 들어가서 나온 값이 찾을려는 m값 이하이면 정답이 되기에 이것을 mid값에 넣고 # 3개이하로 만들수 있으면 2,3개 가능하기에 이하로 넣는다. # 그리고 최소값을 찾기 위해서 rt값을 줄인다 # rt값을 줄일수록 mid 값이 작아지기 떄문에 # 추가적으로 mid>=maxx 를 해준 이유는 123456789 9 9 라고 했을경우 9분 보다 큰것은 따로 들어가야 되므로 mid>=maxx라는 조건을 써준다. # mid는 capcity if mid>=maxx and count(mid)<=m: res=mid rt=mid-1 else : # 나온값이 4,5,6 이러면 lt를 늘려서 더 작게 만들어야 됨 lt=mid+1 print(res)

[ "51287886+sds1vrk@users.noreply.github.com" ]

51287886+sds1vrk@users.noreply.github.com

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/2BFS/71. Binary Tree Zigzag Level Order Traversal.py

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[]

no_license

Iansdfg/9chap

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refs/heads/master

2022-11-15T02:21:33.791516

2022-11-09T06:24:43

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from lintcode import ( TreeNode, ) """ Definition of TreeNode: class TreeNode: def __init__(self, val): self.val = val self.left, self.right = None, None """ from collections import deque class Solution: """ @param root: A Tree @return: A list of lists of integer include the zigzag level order traversal of its nodes' values. """ def zigzag_level_order(self, root): # write your code here if not root: return [] queue = deque([root]) res = [] flag = 0 while queue: lv = [] for i in range(len(queue)): curr = queue.popleft() lv.append(curr.val) if curr.left: queue.append(curr.left) if curr.right: queue.append(curr.right) if flag%2 == 0: res.append(lv) else: lv.reverse() res.append(lv) flag += 1 return res

[ "noreply@github.com" ]

Iansdfg.noreply@github.com

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/Python_codes/p03588/s218611558.py

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no_license

Aasthaengg/IBMdataset

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refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

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N = int(input()) AB = [list(map(int,input().split())) for _ in range(N)] AB = sorted(AB) #print(AB) ans = N + AB[-1][1] for i in range(N): if i == 0: ans += AB[0][0] - 1 else: ans += min(abs(AB[i][0]-AB[i-1][0])-1,abs(AB[i][1]-AB[i-1][1])-1) print(ans)

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

66529651+Aastha2104@users.noreply.github.com

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/athena/InnerDetector/InDetExample/InDetSLHC_Example/share/ExtrapolationEngineTest_ITk_jobOptions.py

359c9700d941710604b7d03b1f4f850021f23f80

[]

no_license

rushioda/PIXELVALID_athena

90befe12042c1249cbb3655dde1428bb9b9a42ce

22df23187ef85e9c3120122c8375ea0e7d8ea440

refs/heads/master

2020-12-14T22:01:15.365949

2020-01-19T03:59:35

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UTF-8

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############################################################### # # Job options # # This is for validation of ITk tracking geometry. # Modified version of Tracking/TrkExtrapolation/TrkExUnitTests/share/ExtrapolationEngineTest_jobOptions.py. (TrkExUnitTests-00-00-08) # See https://twiki.cern.ch/twiki/bin/view/Atlas/UpgradeSimulationInnerTrackerMigrationRel20p3p3#Validation_of_database_files #============================================================== #-------------------------------------------------------------- # ATLAS default Application Configuration options #-------------------------------------------------------------- # Use McEventSelector so we can run with AthenaMP import AthenaCommon.AtlasUnixGeneratorJob #-------------------------------------------------------------- # Private Application Configuration options #-------------------------------------------------------------- #-------------------------------------------------------------- # Geometry section #-------------------------------------------------------------- from AthenaCommon.DetFlags import DetFlags DetFlags.ID_setOn() DetFlags.Calo_setOff() DetFlags.Muon_setOff() include("InDetSLHC_Example/preInclude.SLHC.py") include("InDetSLHC_Example/preInclude.SiliconOnly.py") # Full job is a list of algorithms from AthenaCommon.AlgSequence import AlgSequence job = AlgSequence() # build GeoModel if 'DetDescrVersion' not in dir(): DetDescrVersion = 'ATLAS-P2-ITK-01-00-00' from AthenaCommon.GlobalFlags import globalflags globalflags.DetDescrVersion = DetDescrVersion from AtlasGeoModel import SetGeometryVersion from AtlasGeoModel import GeoModelInit from GeoModelSvc.GeoModelSvcConf import GeoModelSvc GeoModelSvc = GeoModelSvc() ServiceMgr += GeoModelSvc GeoModelSvc.AtlasVersion = DetDescrVersion from IOVDbSvc.CondDB import conddb conddb.setGlobalTag('OFLCOND-SIM-00-00-00') # switch the material loading off from TrkDetDescrSvc.TrkDetDescrJobProperties import TrkDetFlags TrkDetFlags.PixelBuildingOutputLevel = INFO TrkDetFlags.SCT_BuildingOutputLevel = INFO TrkDetFlags.TRT_BuildingOutputLevel = INFO TrkDetFlags.ConfigurationOutputLevel = INFO TrkDetFlags.TRT_BuildStrawLayers = True TrkDetFlags.SLHC_Geometry = True TrkDetFlags.MaterialDatabaseLocal = True if TrkDetFlags.MaterialDatabaseLocal() is True : TrkDetFlags.MaterialSource = 'COOL' TrkDetFlags.MaterialVersion = 17 TrkDetFlags.MaterialSubVersion = "" # splitGeo = DetDescrVersion.split('-') # TrkDetFlags.MaterialMagicTag = splitGeo[0] + '-' + splitGeo[1] + '-' + splitGeo[2] TrkDetFlags.MaterialMagicTag = DetDescrVersion TrkDetFlags.MaterialStoreGateKey = '/GLOBAL/TrackingGeo/LayerMaterialITK' TrkDetFlags.MaterialDatabaseLocalPath = './' TrkDetFlags.MaterialDatabaseLocalName = 'AtlasLayerMaterial-'+DetDescrVersion+'.db' # load the tracking geometry service from TrkDetDescrSvc.AtlasTrackingGeometrySvc import AtlasTrackingGeometrySvc #-------------------------------------------------------------- # Event related parameters #-------------------------------------------------------------- # Number of events to be processed (default is until the end of # input, or -1, however, since we have no input, a limit needs # to be set explicitly, here, choose 10) theApp.EvtMax = 1 # 100 ExToolOutputLevel = VERBOSE # INFO # ExAlgorithmOutputLevel = INFO # from AthenaCommon.AppMgr import ServiceMgr # output level ServiceMgr.MessageSvc.OutputLevel = INFO # increase the number of letter reserved to the alg/tool name from 18 to 30 ServiceMgr.MessageSvc.Format = "% F%50W%S%7W%R%T %0W%M" # to change the default limit on number of message ServiceMgr.MessageSvc.defaultLimit = 9999999 # all messages #-------------------------------------------------------------- # Tool setup #-------------------------------------------------------------- # the magnetic field from MagFieldServices import SetupField from IOVDbSvc.CondDB import conddb conddb.addOverride('/GLOBAL/BField/Map','BFieldMap-FullAsym-09-solTil3') from TrkExEngine.AtlasExtrapolationEngine import AtlasExtrapolationEngine ExtrapolationEninge = AtlasExtrapolationEngine(name='Extrapolation', nameprefix='Atlas', ToolOutputLevel=ExToolOutputLevel) ToolSvc += ExtrapolationEninge #-------------------------------------------------------------- # Algorithm setup #-------------------------------------------------------------- # Add top algorithms to be run from TrkExUnitTests.TrkExUnitTestsConf import Trk__ExtrapolationEngineTest ExtrapolationEngineTest = Trk__ExtrapolationEngineTest('ExtrapolationEngineTest') # parameters mode: 0 - neutral tracks, 1 - charged particles ExtrapolationEngineTest.ParametersMode = 1 # do the full test backwards as well ExtrapolationEngineTest.BackExtrapolation = False # pT range for testing ExtrapolationEngineTest.PtMin = 100000 ExtrapolationEngineTest.PtMax = 100000 # The test range in Eta ExtrapolationEngineTest.EtaMin = -0.5 ExtrapolationEngineTest.EtaMax = 0.5 # Configure how you wanna run ExtrapolationEngineTest.CollectSensitive = True ExtrapolationEngineTest.CollectPassive = True ExtrapolationEngineTest.CollectBoundary = True # the path limit to test ExtrapolationEngineTest.PathLimit = -1. # give it the engine ExtrapolationEngineTest.ExtrapolationEngine = ExtrapolationEninge # output formatting ExtrapolationEngineTest.OutputLevel = ExAlgorithmOutputLevel job += ExtrapolationEngineTest # 1 alg, named 'ExtrapolationEngineTest' ################################################################# theApp.Dlls += [ 'RootHistCnv' ] theApp.HistogramPersistency = 'ROOT' # --- load AuditorSvc from AthenaCommon.ConfigurableDb import getConfigurable # --- write out summary of the memory usage # | number of events to be skip to detect memory leak # | 20 is default. May need to be made larger for complete jobs. ServiceMgr.AuditorSvc += getConfigurable('ChronoAuditor')() # --- write out a short message upon entering or leaving each algorithm # theApp.AuditAlgorithms = True theApp.AuditServices = True # # --- Display detailed size and timing statistics for writing and reading ServiceMgr.AthenaPoolCnvSvc.UseDetailChronoStat = True if not hasattr(ServiceMgr, 'THistSvc'): from GaudiSvc.GaudiSvcConf import THistSvc ServiceMgr += THistSvc() # add the G4 validation output stream ServiceMgr.THistSvc.Output += [ "val DATAFILE='ExtrapolationEngineTest.root' TYPE='ROOT' OPT='RECREATE'" ] include("InDetSLHC_Example/postInclude.SLHC_Setup.py") #============================================================== # # End of job options file # ###############################################################

[ "rushioda@lxplus754.cern.ch" ]

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/TaobaoSdk/Request/TraderateAddRequest.py

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[]

no_license

wangyu0248/TaobaoOpenPythonSDK

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#! /usr/bin/env python # -*- coding: utf-8 -*- # vim: set ts=4 sts=4 sw=4 et: ## @brief 新增单个评价(注：在评价之前需要对订单成功的时间进行判定（end_time）,如果超过15天，不能再通过该接口进行评价) # @author wuliang@maimiaotech.com # @date 2012-06-21 17:17:38 # @version: 0.0.0 import os import sys import time def __getCurrentPath(): return os.path.normpath(os.path.join(os.path.realpath(__file__), os.path.pardir)) __modulePath = os.path.join(__getCurrentPath(), os.path.pardir) __modulePath = os.path.normpath(__modulePath) if __modulePath not in sys.path: sys.path.insert(0, __modulePath) ## @brief 新增单个评价(注：在评价之前需要对订单成功的时间进行判定（end_time）,如果超过15天，不能再通过该接口进行评价) # <UL> # </UL> class TraderateAddRequest(object): def __init__(self): super(self.__class__, self).__init__() ## @brief 获取API名称 # <UL> # <LI> # Type: str # </LI> # </UL> self.method = "taobao.traderate.add" ## @brief 时间戳，如果不设置,发送请求时将使用当时的时间 # <UL> # <LI> # Type: int # </LI> # </UL> self.timestamp = int(time.time()) ## @brief 是否匿名,卖家评不能匿名。可选值:true(匿名),false(非匿名)。注意：输入非可选值将会自动转为false # <UL> # <LI> # Type: Boolean # </LI> # <LI> # Required: optional # </LI> # </UL> self.anony = None ## @brief 评价内容,最大长度: 500个汉字 .注意：当评价结果为good时就不用输入评价内容.评价内容为neutral/bad的时候需要输入评价内容 # <UL> # <LI> # Type: String # </LI> # <LI> # Required: optional # </LI> # </UL> self.content = None ## @brief 子订单ID # <UL> # <LI> # Type: Number # </LI> # <LI> # Required: optional # </LI> # </UL> self.oid = None ## @brief 评价结果,可选值:good(好评),neutral(中评),bad(差评) # <UL> # <LI> # Type: String # </LI> # <LI> # Required: required # </LI> # </UL> self.result = None ## @brief 评价者角色,可选值:seller(卖家),buyer(买家) # <UL> # <LI> # Type: String # </LI> # <LI> # Required: required # </LI> # </UL> self.role = None ## @brief 交易ID # <UL> # <LI> # Type: Number # </LI> # <LI> # Required: required # </LI> # </UL> self.tid = None

[ "liyangmin@maimiaotech.com" ]

liyangmin@maimiaotech.com

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/Aug-13-ASSGN-NUMBERS-Q1-Lakshmipriya.py

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sandhyalethakula/Iprimed_16_python

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'''1.Write a program that reads a positive integer, n, from the user and then displays the sum of all of the integers from 1 to n. The sum of the first n positive integers can be computed using the formula: sum = (n)(n + 1) / 2 ''' print('-'*20) n = int(input("Enter a positive integer: ")) #Read the input from the user total = n * (n+1) / 2 #Calculate the sum print("The sum of the first",n,"positive integers",total)#Display the result print('-'*20)

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sandhyalethakula.noreply@github.com

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/since2020/ZeroJudge/ZeroJudge e539.py

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m80126colin/Judge

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2021-06-11T04:25:27.786735

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''' @judge ZeroJudge @id e539 @name Circular @source UVa 967 @tag Prime, Range Query ''' from sys import stdin from itertools import accumulate from math import sqrt N = 1000000 sieve = [ 1 ] * N sieve[0] = sieve[1] = 0 for x in range(2, int(sqrt(N) + 0.01) + 1): if sieve[x]: for y in range(x * x, N, x): sieve[y] = 0 def circle(n): m = str(n) * 2 L = len(m) // 2 return all(map(lambda x: sieve[int(m[x:x+L])], range(L))) dp = list(accumulate([ 1 if circle(x) else 0 for x in range(N) ])) def solve(a, b): res = dp[b] - dp[a - 1] if res == 0: return 'No Circular Primes.' if res == 1: return '1 Circular Prime.' return f'{res} Circular Primes.' for line in stdin: if line.strip() != '-1': print(solve(*map(int, line.split())))

[ "m80126colin@gmail.com" ]

m80126colin@gmail.com

e147389a483460573bbdcdffcce154acfaca0467

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/conans/server/rest/controllers/file_upload_download_controller.py

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2021-08-27T18:22:19.614272

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from conans.server.rest.controllers.controller import Controller from bottle import request, static_file, FileUpload, cached_property from conans.server.service.service import FileUploadDownloadService import os import sys from unicodedata import normalize import six class FileUploadDownloadController(Controller): """ Serve requests related with users """ def attach_to(self, app): storage_path = app.file_manager.paths.store service = FileUploadDownloadService(app.updown_auth_manager, storage_path) @app.route(self.route + '/<filepath:path>', method=["GET"]) def get(filepath): token = request.query.get("signature", None) file_path = service.get_file_path(filepath, token) # https://github.com/kennethreitz/requests/issues/1586 mimetype = "x-gzip" if filepath.endswith(".tgz") else "auto" return static_file(os.path.basename(file_path), root=os.path.dirname(file_path), mimetype=mimetype) @app.route(self.route + '/<filepath:path>', method=["PUT"]) def put(filepath): token = request.query.get("signature", None) file_saver = ConanFileUpload(request.body, None, filename=os.path.basename(filepath), headers=request.headers) abs_path = os.path.abspath(os.path.join(storage_path, os.path.normpath(filepath))) # Body is a stringIO (generator) service.put_file(file_saver, abs_path, token, request.content_length) return class ConanFileUpload(FileUpload): """Code copied from bottle but removing filename normalizing FIXME: Review bottle.FileUpload and analyze possible security or general issues """ @cached_property def filename(self): ''' Name of the file on the client file system, but normalized to ensure file system compatibility. An empty filename is returned as 'empty'. Only ASCII letters, digits, dashes, underscores and dots are allowed in the final filename. Accents are removed, if possible. Whitespace is replaced by a single dash. Leading or tailing dots or dashes are removed. The filename is limited to 255 characters. ''' fname = self.raw_filename if six.PY2: if not isinstance(fname, unicode): fname = fname.decode('utf8', 'ignore') fname = normalize('NFKD', fname).encode('ASCII', 'ignore').decode('ASCII') fname = os.path.basename(fname.replace('\\', os.path.sep)) # fname = re.sub(r'[^a-zA-Z0-9-_.\s]', '', fname).strip() # fname = re.sub(r'[-\s]+', '-', fname).strip('.-') return fname[:255] or 'empty'

[ "lasote@gmail.com" ]

lasote@gmail.com

f8e181fb1435b0ee9e82aadf9176c9719f5ac972

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/meetings/forms.py

a3fb19ed97b1f4c134c3c7131111680e5cff1c77

[]

no_license

suryanarayadev/clusil-intranet

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cc3fd8d3f35c35e30f72cc501962ea4953ca1945

refs/heads/master

2021-01-17T21:40:51.154315

2015-09-18T21:04:53

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# coding=utf-8 from datetime import date from django.forms import Form, ModelForm, TextInput, Textarea, HiddenInput, CharField, ModelChoiceField from django.conf import settings from .models import Meeting, Location #location form class LocationForm(ModelForm): class Meta: model = Location fields = ( 'name', 'address', ) widgets = { 'address' : Textarea(), } #modify location wizard forms class ListLocationsForm(Form): locations = ModelChoiceField(queryset=Location.objects.all()) #meeting form class MeetingForm(ModelForm): additional_message = CharField(label='Message supplémentaire',widget=Textarea(attrs={'placeholder': "Message à transmettre dans l'inviation.",}),required=False) class Meta: model = Meeting fields = ( 'title', 'when', 'time', 'location', 'additional_message', ) widgets = { 'title' : TextInput(attrs={'readonly': 'readonly', }), 'when' : TextInput(attrs={'type': 'date', }), 'time' : TextInput(attrs={'type': 'time', }), } #modify wizard forms class ListMeetingsForm(Form): meetings = ModelChoiceField(queryset=Meeting.objects.all().order_by('when')) class ModifyMeetingForm(ModelForm): class Meta: model = Meeting fields = ( 'title', 'when', 'time', 'location', ) widgets = { 'when' : TextInput(attrs={'type': 'date', }), 'time' : TextInput(attrs={'type': 'time', }), }

[ "pst@libre.lu" ]

pst@libre.lu

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/Defining Classes/Lab/Solutions/01. Rhombus of Stars.py

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[]

no_license

rimisarK-blue/Python---OOP

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refs/heads/master

2023-03-29T17:28:36.477434

2021-03-26T14:04:11

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def draw_line(count, symbol, offset_count=0): offset = offset_count * ' ' counted = (f"{symbol} "* count).strip() print(f"{offset}{counted}") def draw_rhombus(n): for i in range(n): draw_line(i + 1, '*', n - i - 1,) for i in range(n - 2, -1, -1): draw_line(i + 1, '*', n - i - 1, ) n = int(input()) draw_rhombus(n)

[ "rimisark92@gmail.com" ]

rimisark92@gmail.com

641c99b05541aae373077e10268e6323c51d3165

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/tests/model_control/detailed/transf_Quantization/model_control_one_enabled_Quantization_LinearTrend_BestCycle_LSTM.py

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2023-09-01T09:30:59.967219

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py

import tests.model_control.test_ozone_custom_models_enabled as testmod testmod.build_model( ['Quantization'] , ['LinearTrend'] , ['BestCycle'] , ['LSTM'] );

[ "antoine.carme@laposte.net" ]

antoine.carme@laposte.net

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/src/ui/widgets/elevation.py

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import sys import numpy as np from PyQt5.QtCore import QRect, QRectF, Qt, QLine, QPointF, QPoint from PyQt5.QtGui import QLinearGradient, QPainter, QPen, QPolygonF from PyQt5.QtWidgets import (QApplication, QGraphicsItem, QGraphicsScene, QGraphicsView) __all__ = ['ElevationGraphWidget'] def getRect(widget): w, h = widget.width(), widget.height() y_ = 10 h_ = h - 20 w_ = int(h / 4) x_ = int((w - w_) / 2) return QRect(x_, y_, w_, h_) class ElevationSquare(QGraphicsItem): """A red-green filled square with altitudes""" def __init__(self, start, end, levels, parent=None): super().__init__(parent) self.start, self.end = start, end self.levels = levels self.rect = QRect(0, 0, 100, 100) def paint(self, painter: QPainter, option, widget=None): painter.setPen(QPen(Qt.black, 0)) self.rect = getRect(widget) gradient = QLinearGradient(self.rect.topLeft(), self.rect.bottomLeft()) gradient.setColorAt(0, Qt.red) gradient.setColorAt(1, Qt.green) painter.setBrush(gradient) painter.drawRect(self.rect) metrics = painter.fontMetrics() for level in self.levels: text = str(int(level)) w, h = metrics.width(text), metrics.height() y = self.rect.height() - (level - self.start) / ( self.end - self.start) * self.rect.height() + self.rect.y() - h / 2 x = self.rect.x() - w - 10 text_rect = QRectF(x, y, w, h) painter.drawText(text_rect, Qt.AlignRight, text) def boundingRect(self): adjust = 2 return QRectF(self.rect.x() - adjust, self.rect.y() - adjust, self.rect.width() + adjust, self.rect.height() + adjust) class CameraTri(QGraphicsItem): """A triangle showing a level of the camera""" def __init__(self, start, end, pos, parent=None): super().__init__(parent) self.start, self.end = start, end self.pos = pos self.line = QLine(0, 0, 100, 0) def updatePos(self, pos): self.pos = pos self.update() def getPoint(self): if self.pos < self.start: return self.line.p1() elif self.pos > self.end: return self.line.p2() else: c = (self.pos - self.start) / (self.end - self.start) return self.line.p1() * (1 - c) + self.line.p2() * c def paint(self, painter: QPainter, option, widget=None): rect = getRect(widget) delta = QPoint(5, 0) self.line = QLine(rect.bottomRight() + delta * 2, rect.topRight() + delta * 2) point = self.getPoint() painter.setPen(QPen(Qt.black, 0)) painter.setBrush(Qt.black) offset_h = QPointF(10, 0) offset_v = QPointF(0, 10) points = QPolygonF(( QPointF(point), QPointF(point + offset_h - offset_v), QPointF(point + offset_h + offset_v), QPointF(point) )) painter.drawPolygon(points, 4) def boundingRect(self): offset = QPointF(20, 0) return QRectF(self.line.p1() - offset, self.line.p2() + offset) class ElevationGraphWidget(QGraphicsView): """A widget to show an elevation of camera relative to the given altitude""" def __init__(self, start, end, pos, width=240, height=240, levels=None, parent=None): super().__init__(parent) self.start, self.end = start, end self.pos = pos self.levels = np.linspace(start, end, 5) if levels is None else levels self.resize(width, height) scene = QGraphicsScene(self) scene.setItemIndexMethod(QGraphicsScene.NoIndex) scene.setSceneRect(0, 0, self.width(), self.height()) self.setScene(scene) self.setCacheMode(self.CacheBackground) self.setViewportUpdateMode(self.BoundingRectViewportUpdate) self.setRenderHint(QPainter.Antialiasing) self.setTransformationAnchor(self.AnchorUnderMouse) self.setSizeAdjustPolicy(self.AdjustToContents) self.setAlignment(Qt.AlignLeft | Qt.AlignTop) self.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff) self.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOff) self.setMinimumSize(60, 60) self.initContent() def initContent(self): self.square = ElevationSquare(self.start, self.end, self.levels) self.tri = CameraTri(self.start, self.end, self.pos) self.scene().addItem(self.square) self.scene().addItem(self.tri) def updatePos(self, pos): """Update a position of the camera """ self.tri.updatePos(int(pos)) self.scene().update() if __name__ == "__main__": app = QApplication(sys.argv) widget = ElevationGraphWidget(0, 1000, 500) widget.show() app.exec_()

[ "thexcloud@gmail.com" ]

thexcloud@gmail.com

f5e424239ab2839fe0d0d067878f8928e02544b2

16050a733a926cbbfd7207fa8ce00db1a8fee81c

/apps/API_VK/command/commands/AdminCommands/Control.py

b60065962c18e8e53fb2bcbbef1a889226982424

[]

no_license

thallkeer/xoma163site

bd87ed4924c244b666343ab30e66477adfad84fa

f86f61c060233028dced4ae48d44015c62625358

refs/heads/master

2021-05-17T14:27:33.785029

2020-03-19T16:32:57

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null

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Python

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py

from apps.API_VK.command.CommonCommand import CommonCommand # ToDo: get chat by id or name class Control(CommonCommand): def __init__(self): names = ["управление", "сообщение"] help_text = "Управление - отправление сообщение в любую конфу" detail_help_text = "Управление (N,M) - N - chat_id, M - сообщение" super().__init__(names, help_text, detail_help_text, access='admin', args=2, int_args=[0]) def start(self): msg_chat_id = self.vk_event.args[0] msg = self.vk_event.params_without_keys.split(' ', 1)[1] self.vk_bot.send_message(self.vk_bot.get_group_id(msg_chat_id), msg)

[ "Xoma163rus@gmail.com" ]

Xoma163rus@gmail.com

45aec375bad35993810ff1642d6699b3217130a7

c18bfe1c2c78962ebcfb4296697324dbadbcca48

/build/my_personal_robotic_companion/robot_model/collada_parser/catkin_generated/pkg.installspace.context.pc.py

5ece18fad88f276b8a09448fef516eca9a4157db

[]

no_license

MIsmailKhan/SERO

e1ac693752c4201f987a13d3dff2ece69bb6e59d

da4956682741c14c2eb6c49ea83e9d76987ce1ff

refs/heads/master

2021-01-17T05:26:01.160822

2017-06-28T17:30:44

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py

# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/ismail/catkin_ws2/install/include;/usr/include".split(';') if "/home/ismail/catkin_ws2/install/include;/usr/include" != "" else [] PROJECT_CATKIN_DEPENDS = "roscpp;urdf_parser_plugin".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "-lcollada_parser".split(';') if "-lcollada_parser" != "" else [] PROJECT_NAME = "collada_parser" PROJECT_SPACE_DIR = "/home/ismail/catkin_ws2/install" PROJECT_VERSION = "1.11.7"

[ "ismailkhan777@gmail.com" ]

ismailkhan777@gmail.com

d5cb86c0a9193341d40321d7fcab8fc9e816be35

882de85f0a5e99320848ff2e140723888c075420

/plugins/houdini/create/create_vbd_cache.py

eb836848ca0d4299d013214b2c636ed243fd265e

[ "MIT" ]

permissive

Panda-Luffy/reveries-config

60fb9511f9c4ff9bb9f0c74e2a9d2c390684a033

09fb5be23816031e1407b02669049322fd6a8c16

refs/heads/master

2020-05-16T15:35:47.027217

2019-04-23T11:27:21

null

0

null

UTF-8

Python

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py

from avalon import houdini class CreateVDBCache(houdini.Creator): """OpenVDB from Geometry ROP""" label = "VDB Cache" family = "reveries.vdbcache" icon = "cloud" def __init__(self, *args, **kwargs): super(CreateVDBCache, self).__init__(*args, **kwargs) # Remove the active, we are checking the bypass flag of the nodes self.data.pop("active", None) # Set node type to create for output self.data["node_type"] = "geometry" def process(self): instance = super(CreateVDBCache, self).process() parms = {"sopoutput": "$HIP/pyblish/%s.$F4.vdb" % self.name, "initsim": True} if self.nodes: node = self.nodes[0] parms.update({"soppath": node.path()}) instance.setParms(parms)

[ "davidlatwe@gmail.com" ]

davidlatwe@gmail.com

dbb6d5cb1e195b116fb37bd4c544da4e49b82da1

ea96ef74bc93762a0ed5d616a831259daf24992e

/knesset_data/dataservice/tests/base/test_exceptions.py

fb074ac802766e8d7a512d55097d6591e061ea20

[]

no_license

alonisser/knesset-data-python

ca41675a31c6ea1a228fb43ad50b90dfa5c8d60b

39aeb40edbb6c3b7af5967a90ac14bbf262fa6ad

refs/heads/master

2021-01-22T20:44:28.734243

2017-07-02T08:38:53

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0

null

2017-03-17T20:16:18

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UTF-8

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py

import unittest from datetime import datetime from knesset_data.dataservice.committees import Committee, CommitteeMeeting from knesset_data.dataservice.exceptions import KnessetDataServiceRequestException, KnessetDataServiceObjectException from knesset_data.dataservice.mocks import MockMember from knesset_data.utils.testutils import data_dependant_test class CommitteeWithVeryShortTimeoutAndInvalidService(Committee): DEFAULT_REQUEST_TIMEOUT_SECONDS = 1 METHOD_NAME = "Invalid Method Name" class CommitteeMeetingWithVeryShortTimeoutAndInvalidService(CommitteeMeeting): DEFAULT_REQUEST_TIMEOUT_SECONDS = 1 METHOD_NAME = "FOOBARBAZBAX" class TestDataServiceRequestExceptions(unittest.TestCase): def test_member_exception(self): # get_page - raises an exception as soon as it's encountered exception = None try: list(MockMember.get_page()) except Exception, e: exception = e self.assertEqual(exception.message, "member with exception on init") # get - raises an exception as soon as it's encountered exception = None try: MockMember.get(215) except Exception, e: exception = e self.assertEqual(exception.message, "member with exception on get") def test_member_skipped_exceptions(self): # get_page with skip_exceptions - yields exception objects on error self.assertEqual([o.message if isinstance(o, KnessetDataServiceObjectException) else o.id for o in MockMember.get_page(skip_exceptions=True)], [200, 201, 202, 'member with exception on init', 'member with exception on parse']) @data_dependant_test() def test_committee(self): exception = None try: CommitteeWithVeryShortTimeoutAndInvalidService.get(1) except KnessetDataServiceRequestException as e: exception = e self.assertIsInstance(exception, KnessetDataServiceRequestException) self.assertListEqual([ exception.knesset_data_method_name, exception.knesset_data_service_name, exception.url, str(exception.message) ], [ 'Invalid Method Name', 'committees', 'http://online.knesset.gov.il/WsinternetSps/KnessetDataService/CommitteeScheduleData.svc/Invalid%20Method%20Name(1)', "('Connection aborted.', error(104, 'Connection reset by peer'))", ]) @data_dependant_test() def test_committee_meeting(self): exception = None try: CommitteeMeetingWithVeryShortTimeoutAndInvalidService.get(1, datetime(2016, 1, 1)) except KnessetDataServiceRequestException as e: exception = e self.assertIsInstance(exception, KnessetDataServiceRequestException) self.assertListEqual([ exception.knesset_data_method_name, exception.knesset_data_service_name, exception.url, str(exception.message) ], [ 'FOOBARBAZBAX', 'committees', 'http://online.knesset.gov.il/WsinternetSps/KnessetDataService/CommitteeScheduleData.svc/FOOBARBAZBAX?CommitteeId=%271%27&FromDate=%272016-01-01T00%3A00%3A00%27', "('Connection aborted.', error(104, 'Connection reset by peer'))", ])

[ "ori@uumpa.com" ]

ori@uumpa.com

127c9acd8a9765018edf85f3ff4d9c51c329f2f6

f0a0aa6a5fe0ded715bb65c78dbedd9b2ca24e2f

/100DaysOfPython/Day23/TurtleCrossingProject/car_manager.py

41842e2f967a34cc57b00e5231eeb43ea972cf9f

[]

no_license

DeepanshuSarawagi/python

bb911dd8dfc2d567a2c51679bb10c3f37f11e500

a7b4ea3a0b6f1f373df3220ca655e575ae401d09

refs/heads/master

2022-04-26T17:46:39.301757

2021-08-25T15:08:14

228,613,467

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0

null

2022-04-22T23:32:41

2019-12-17T12:38:01

Python

UTF-8

Python

false

848

py

from turtle import Turtle import random COLORS = ["red", "orange", "yellow", "green", "blue", "purple"] STARTING_MOVE_DISTANCE = 5 MOVE_INCREMENT = 5 class CarManager: def __init__(self): self.all_cars = [] self.car_speed = STARTING_MOVE_DISTANCE def create_car(self): random_chance = random.randint(1, 6) if random_chance == 1: new_car = Turtle("square") new_car.shapesize(stretch_wid=1, stretch_len=2) new_car.penup() new_car.color(random.choice(COLORS)) random_y = random.randint(-250, 250) new_car.goto(300, random_y) self.all_cars.append(new_car) def move_cars(self): for car in self.all_cars: car.backward(self.car_speed) def level_up(self): self.car_speed += MOVE_INCREMENT

[ "deepanshusarawagi@gmail.com" ]

deepanshusarawagi@gmail.com

5b4ba8b693c93e992fdc3aea4e2d9e67832dea69

f63028878311f21f73ed21f9bc88a0fd2ba8ba88

/01.python/ch09/ex21.py

6b1414f677e5d2c1f87989df1df683d52416e500

[]

no_license

nugeat23/workspace

ac12b93b0cb826206138aa2262382b0e6389977b

221344b95daa40c3ba66d27e04cbf9dae3172edc

refs/heads/master

2023-07-14T20:37:32.851769

2021-09-01T08:55:01

383,780,263

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UTF-8

Python

false

213

py

score = 88,95,70,100,99 print(score) print(type(score)) score = 88, print(score) print(type(score)) score = 88 print(score) print(type(score)) # tuple() --->tuple 변환 함수 # list() --->list 변환 함수

[ "nugeat23@gmail.com" ]

nugeat23@gmail.com

e4d66bd82a67e533b833a4f380e67ced94e9c950

8016e033484d3cb88a4ee9b82bd3ca08557c12aa

/teclado_flow/oop/employee_with_decorator.py

8bf063ea537f272bfd325b187915cbc9bb737313

[]

no_license

keys4words/python

72ecf5de80b14ad3a94abe1d48e82035a2f0fa3d

08431836498e6caed8e01cbc3548b295b69056fe

refs/heads/master

2021-06-16T19:42:21.294976

2020-04-30T14:40:24

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null

2021-03-20T01:25:04

2019-05-17T12:16:40

Python

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Python

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796

py

class Student: def __init__(self, first, last): self.first = first self.last = last # self.email = first.lower() + '.' + last.lower() + '@gmail.com' @property def email(self): return '{}.{}@gmail.com'.format(self.first.lower(), self.last.lower()) @property def fullname(self): return '{} {}'.format(self.first, self.last) @fullname.setter def fullname(self, name): first, last = name.split(' ') self.first = first self.last = last @fullname.deleter def fullname(self): print('Delete Name!') self.first = None self.last = None emp1 = Student('John', 'Rembo') emp1.first = 'Jim' emp1.fullname = 'James Bond' print(emp1.fullname) print(emp1.email) del emp1.fullname

[ "keys4words@gmail.com" ]

keys4words@gmail.com

bb3f848cbd7e7206f778f4b3e89beca4f54cd461

67d8173a716da10a7350213d98938aae9f2115ce

/LeetCode/LC_PY_ANSWERS/random-pick-with-blacklist.py

951cb20be9569d8fe879dea6da79554abcb45a75

[ "MIT" ]

permissive

jxie0755/Learning_Python

94490d41bdf93acf8396f843328e38b6da310b0f

143422321cbc3715ca08f6c3af8f960a55887ced

refs/heads/master

2021-11-02T22:47:35.790239

2021-09-26T04:26:23

101,445,132

0

2

null

2019-02-19T15:48:44

2017-08-25T22:00:16

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UTF-8

Python

false

1,366

py

# Time: ctor: O(b) # pick: O(1) # Space: O(b) import random class Solution(object): def __init__(self, N, blacklist): """ :type N: int :type blacklist: List[int] """ self.__n = N - len(blacklist) self.__lookup = {} white = iter(set(range(self.__n, N)) - set(blacklist)) for black in blacklist: if black < self.__n: self.__lookup[black] = next(white) def pick(self): """ :rtype: int """ index = random.randint(0, self.__n - 1) return self.__lookup[index] if index in self.__lookup else index # Time: ctor: O(blogb) # pick: O(logb) # Space: O(b) import random class Solution2(object): def __init__(self, N, blacklist): """ :type N: int :type blacklist: List[int] """ self.__n = N - len(blacklist) blacklist.sort() self.__blacklist = blacklist def pick(self): """ :rtype: int """ index = random.randint(0, self.__n - 1) left, right = 0, len(self.__blacklist) - 1 while left <= right: mid = left + (right - left) // 2 if index + mid < self.__blacklist[mid]: right = mid - 1 else: left = mid + 1 return index + left

[ "30805062+jxie0755@users.noreply.github.com" ]

30805062+jxie0755@users.noreply.github.com

24ac38582013f5f4e58677f7f4c5ec41d47a34df

bf7c60d6bb4c3f35dd3d4114a3457026c6f6b95c

/blog/forms.py

38901f11dbe5f9bb27a734edade7db4214fec740

[]

no_license

zerofuxor/ContentQ-CMS

2a093de904b332134abf851bd22f1a70c47e87dc

db7154910d3776ba3daf90f97fccb1cc51e5bf94

refs/heads/master

2021-01-17T07:45:49.614678

2011-01-07T18:16:32

2011-01-07T18:55:23

null

0

null

UTF-8

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py

# Copyright 2010 Jose Maria Zambrana Arze <contact@josezambrana.com> # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import logging from google.appengine.ext.db import djangoforms from django import forms from blog import models from common import forms as common_forms TYPE_CHOICES = (('page','Page'),('post','Post')) class PostCategoryForm(common_forms.CategoryForm): class Meta: model = models.PostCategory exclude = ['uuid', 'slug', 'deleted_at'] class PostItemForm(common_forms.BaseContentForm): class Meta: model = models.PostItem exclude = ['uuid', 'slug', 'plain_description','created_at', 'updated_at', 'deleted_at'] def __init__(self, *args, **kwargs): super(PostItemForm, self).__init__(*args, **kwargs) self.fields['category'].widget = forms.Select(choices=models.PostCategory.get_choices()) self.fields.keyOrder = ["name", "category", "status","description", "body", "tags", "meta_desc"]

[ "contact@josezambrana.com" ]

contact@josezambrana.com

15fb0a5f474eae9654c88030017361c3699aee95

9184e230f8b212e8f686a466c84ecc89abe375d1

/arcseventdata/applications/make-tobyfit-par.py

da6c3877893937b116b75b899abe6c2270c007ab

[]

no_license

danse-inelastic/DrChops

75b793d806e6351dde847f1d92ab6eebb1ef24d2

7ba4ce07a5a4645942192b4b81f7afcae505db90

refs/heads/master

2022-04-26T17:37:41.666851

2015-05-02T23:21:13

34,094,584

0

1

null

2020-09-10T01:50:10

2015-04-17T03:30:52

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UTF-8

Python

false

3,694

py

#!/usr/bin/env python import journal info = journal.info('make-merlin-par') def getpixelinfo(ARCSxml): info.log('parsing acrs xml: %s' % ARCSxml) from instrument.nixml import parse_file instrument = parse_file(ARCSxml) info.log('getting detector axes') from arcseventdata.GetDetectorAxesInfo import getDetectorAxes detaxes = getDetectorAxes(instrument) npacks, ndetsperpack, npixelsperdet = [axis.size() for axis in detaxes] info.log('getting pixel radii and heights') from arcseventdata.getpixelsizes import getpixelsizes radii, heights = getpixelsizes( instrument, npacks, ndetsperpack, npixelsperdet) widths = radii*2. info.log('getting pixel L2, phis, psis') from arcseventdata import getinstrumentinfo ii = getinstrumentinfo(ARCSxml) dists = ii['dists'] phis = ii['phis'] psis = ii['psis'] sas = ii['solidangles'] from reduction.units import length, angle dists = dists.I phis = phis.I psis = psis.I sas = sas.I # 06/30/2009: was told that the last two columns are angles da1 = widths/dists da2 = sas/da1 dists.shape = phis.shape = psis.shape = widths.shape = heights.shape = -1, da1.shape = da2.shape = -1, #return dists, phis, psis, widths, heights return dists, phis, psis, da1, da2 def getpixelinfo_mergedpixels(ARCSxml, pixelresolution): npixels = 128 assert npixels%pixelresolution==0 from arcseventdata.combinepixels import combinepixels, geometricInfo, geometricInfo_MergedPixels from histogram import axis pixelaxis = axis('pixelID', range(0, 128, pixelresolution)) info.log('merging pixels') phi_p, psi_p, dist_p, sa_p, dphi_p, dpsi_p = combinepixels(ARCSxml, pixelaxis, pixelresolution) positions, radii, heights = geometricInfo(ARCSxml) positions, radii, heights = geometricInfo_MergedPixels(positions, radii, heights, pixelresolution) widths = radii*2 phis = phi_p.I psis = psi_p.I dists = dist_p.I sas = sa_p.I # 06/30/2009: was told that the last two columns are angles da1 = widths/dists da2 = sas/da1 dists.shape = phis.shape = psis.shape = widths.shape = heights.shape = -1, da1.shape = da2.shape = -1, #return dists, phis, psis, widths, heights return dists, phis, psis, da1, da2 def writePar(stream, dists, phis, psis, widths, heights): info.log('writing to par file') n = len(dists) assert n==len(phis) and n==len(psis) and n==len(widths) and n==len(heights) def format(f): return '%8.3f' % f stream.write(str(n)+'\n') for line in zip(dists, phis, psis, widths, heights): s = ''.join(map(format, line)) s += '\n' stream.write(s) continue return from pyre.applications.Script import Script class App(Script): class Inventory(Script.Inventory): import pyre.inventory arcsxml = pyre.inventory.str('x', default='ARCS.xml') outfile = pyre.inventory.str('o', default='ARCS.par') resolution = pyre.inventory.int('r', default=1) def main(self): arcsxml = self.inventory.arcsxml outfile = self.inventory.outfile resolution = self.inventory.resolution if resolution == 1: dists, phis, psis, widths, heights = getpixelinfo(arcsxml) else: dists, phis, psis, widths, heights = getpixelinfo_mergedpixels(arcsxml, resolution) writePar(open(outfile, 'w'), dists, phis, psis, widths, heights) return def main(): info.activate() app = App('make-merlin-par') app.run() return if __name__ == '__main__': main()

[ "linjiao@caltech.edu" ]

linjiao@caltech.edu

ffdd53afd9bef80915daae81253f58ffa97d52a2

1e168ced1a4bdb53967021e082b98027aea9d38a

/3.해커랭크/PythonString/TextWrap/hacker.py

7c950f4d5a5d65b82f1504f4cf2b6c85f1ca3353

[]

no_license

vvspearlvvs/CodingTest

3ebf921308570ac11eb87e6660048ccfcaf90ce4

fc61b71d955f73ef8710f792d008bc671614ef7a

refs/heads/main

2023-07-13T15:57:11.312519

2021-08-25T02:15:28

354,232,513

0

null

UTF-8

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false

320

py

def wrap(string,max_width): result=[] for i in range(0,len(string),max_width): result.append(string[i:i+max_width]) return '\n'.join(result) string="ABCDEFGHIJKLIMNOQRSTUVWXYZ" max_width=4 r=wrap(string,max_width) print(r) ''' 총길이26 0-3 4*1-1 4-7 4*2-1 8-11 12-15 16-19 20-23 24-27 24 25 '''

[ "gg66477@gmail.com" ]

gg66477@gmail.com

2c422b8ebd1397f4b9c53bebe2ededabcab3119d

0c03fcf9b3bdb43473a740935c4bf028b40e5ec4

/AegisServer/message.py

da4ac0a66dbaa4f373913828105715940060f455

[]

no_license

Bowserinator/AegisServer2

afe6b7fbd826e031a00aec94501db7f88a133b5f

06fc64e54adcaf82ff9a62f1047f5aee5c07672a

refs/heads/master

2021-01-01T03:56:38.310579

2016-05-24T22:21:19

59,434,565

0

2

null

2016-10-28T23:47:40

2016-05-22T21:10:50

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UTF-8

Python

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1,083

py

#:IndigoTiger!Brad@botters/IndigoTiger MODE ##BWBellairs-bots -o+b Bowserinator *!*@unaffiliated/bowserinator #MULTI MODE EXAMPLE on one user #:IndigoTiger!Brad@botters/IndigoTiger MODE ##BWBellairs-bots +oooo RadioNeat IovoidBot wolfy1339 Andromeda-dev #MULTI OP EXAMPLE def phraseModeUser(ircmsg): #Gets modes on users message = ircmsg ircmsg = ircmsg.split(" MODE ")[1] channel = ircmsg.split(" ")[0] modes = ircmsg.split(" ")[1] users = ircmsg.split(" ",2)[2] if len(users) == 0: return None currentMode = ""; modes2 = [] for i in modes: if i=="+" or i=="-": currentMode = i; continue if i in ['e','I','b','q','o','v' ]: #Modes with user parameters modes2.append(currentMode+i) if len(users.split(" ")) == 1: #1 user return [message.split(" MODE ")[0], [[users,modes2]], channel] userA = [] for i in users.split(" "): userA.append([i,modes2[users.split(" ").index(i)] ]) return [message.split(" MODE ")[0], userA , channel]

[ "bowserinator@gmail.com" ]

bowserinator@gmail.com

ed2674f00f099d8225bcc2a8ea8f6830ef935e78

fde186bd141ed055ba8ab915b2ad25355f8f3fb6

/ABC/111/py/B.py

73d5183e6546cf60e8fcf5a3b020f01075dad8ca

[]

no_license

Tsukumo3/Atcoder

259ea6487ad25ba2d4bf96d3e1cf9be4a427d24e

5f8d5cf4c0edee5f54b8e78bc14a62e23cab69cb

refs/heads/master

2020-12-20T05:04:39.222657

2020-10-17T01:39:04

235,969,950

0

null

UTF-8

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false

209

py

n = input() first = n[0] length = len(n) guess = int(''.join([first]*length)) if guess >= int(n): print(guess) else: next = int(first)+1 guess = int(''.join([str(next)]*length)) print(guess)

[ "53821328+Tsukumo3@users.noreply.github.com" ]

53821328+Tsukumo3@users.noreply.github.com

af7975f0ce7ddd2e1f93104e71e1a5e5505653ce

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/Stub REST API implementation/NLP_Analysis/nlpanalysis.py

fe5b0c063ed4ed6ae0dafaba1d996acc6cf4d87b

[]

no_license

BUEC500C1/news-analyzer-JimY233

90796cc09ae3565c0ad1724d90cb549161dee488

3dcb3dc6ae7c882751dc385a7b6e8615563ebaf9

refs/heads/main

2023-04-14T15:44:25.237727

2021-04-28T12:50:09

337,237,874

0

1

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false

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""" NLP analysis Procedure-based Api """ from flask import Flask from flask_restful import Resource, Api import json app = Flask(__name__) api = Api(app) #data in json file for example TEXT = {"TEXT_ID": "text_id", "TEXT": "text", "Sentiment": "semtiment", "NLP": ["nlp1","nlp2","nlp3"] } ''' Events Event_Convert: File is converted to text in English Event_Process: NLP analysis request and process the analysis Event_Update: File is updated and re-analyze again ''' def convert_text(): "convert the input to text in English" pass def create_data(): ''' check if it is text and in English, if not, use convert_text() if convert event not successful, log error message return success or failure ''' pass def update_data(data,message): ''' update the data with requirement and log the message return success or failure ''' pass def delete_data(data): ''' delete the data and log the message return success or failure ''' pass class NLPanalysis(Resource): def post(self): #create: upload file and create the data for this file ''' if Event_upload: create_data() #create data ''' return {'Hello': 'world'} def delete(self): #delete: delete the file and relating data pass def put(self): #update: update the data record pass def get(self): #read: read data json file and return information pass api.add_resource(NLPanalysis,'/') if __name__ == '__main__': app.run(debug = True)

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/csa_new/csa_new/doctype/umpire_level/umpire_level.py

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permissive

Jishnu70055/user_management

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[ "jishnudq70055@gmail.com" ]

jishnudq70055@gmail.com

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/moodledata/vpl_data/452/usersdata/302/104113/submittedfiles/avenida.py

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rafaelperazzo/programacao-web

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refs/heads/master

2021-01-12T14:06:25.773146

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# -*- coding: utf-8 -*- m = int(input('Digite o número de linhas: ')) n = int(input('DIgite o número de colunas: ')) matriz = [] for i in range(m): linha = [] for j in range(n): linha.append(float(input('Digite o elemento %d de %d: ' %((j+1),(i+1))))) matriz.append(linha) print(matriz) a = 0 b = 0 c = 0 for i in range(m-1): for j in range(n-1): a = a + matriz[j][i] print(a)

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

rafael.mota@ufca.edu.br

1f8869417410dde70157bbd60e97c6e6b31bd854

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/scrolltwo/scrolltwo/wsgi.py

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[]

no_license

dpuman/cs50sui

584b99f2580ddc4fa68454a9aa00d2e2a675ce03

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refs/heads/master

2023-01-31T20:01:55.770764

2020-12-15T18:00:14

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""" WSGI config for scrolltwo project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'scrolltwo.settings') application = get_wsgi_application()

[ "dpumail.in@gmail.com" ]

dpumail.in@gmail.com

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/Models/project_Clothes/Cloth_proj/FirstApp/migrations/0001_initial.py

fc6e1d9c9644f1af71cd698e3db2147011f152cc

[]

no_license

Ruchika-Munde/Django_Task

f14e0497a4f8045a68dbe58bbd772abf606369d3

7fa549842a544527b9f78cbfcf52c26dde31463c

refs/heads/master

2022-12-16T17:53:12.577323

2020-09-09T07:34:43

294,036,604

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# Generated by Django 2.2.7 on 2019-11-28 16:38 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Clothes', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Catagory', models.TextField()), ('Price', models.FloatField()), ('Pattern', models.TextField()), ], ), ]

[ "ruchamunde@gmail.com" ]

ruchamunde@gmail.com

380e0a119079ff1619313228729d7cc6057e2410

eae2fb8556f62722e4467f4554747785aaf907be

/gan/plotting/epochs.py

4f40f01ccdb5eb67a2beeb9b2d53392a31a34ccb

[]

no_license

aminnj/DY-GAN

a78fc9c4cb75e9f3238af735a92615c4b3586fe7

a2a3f4e293b25ce2edcbdfd677270bc81ab14838

refs/heads/master

2020-05-24T23:09:36.553106

2018-10-17T22:13:11

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import sys sys.path.extend(["../../","../"]) import os import numpy as np from physicsfuncs import * import glob import ROOT as r import plottery.plottery as ply import plottery.utils as plu def get_quantities(fname): data = np.load(fname) masses = Minv(data) return { "epoch": int(fname.rsplit("_",1)[-1].split(".")[0]), "masses": masses[np.isfinite(masses)], "Z_pZ": Z_pZ(data), "Z_pT": Z_pT(data), "phis": get_phis(data), "dphis": get_dphis(data), "etas": get_etas(data), "detas": get_detas(data), } # fnames = glob.glob("../progress/vtestadam/*npy") fnames = glob.glob("../progress/vdecaynoise/npy") data = np.load("../data_xyz.npy") points_mz = [] points_zpt = [] points_zpz = [] points_phis = [] points_dphis = [] points_etas = [] points_detas = [] fnames = sorted(fnames, key=lambda x:int(x.rsplit("_",1)[-1].split(".")[0])) for fname in fnames: quantities = get_quantities(fname) if not np.isfinite(quantities["masses"].mean()): continue if not np.isfinite(quantities["masses"].std()): continue points_mz.append([quantities["epoch"], quantities["masses"].mean(), quantities["masses"].std()]) points_zpt.append([quantities["epoch"], quantities["Z_pT"].mean(), quantities["Z_pT"].std()]) points_zpz.append([quantities["epoch"], quantities["Z_pZ"].mean(), quantities["Z_pZ"].std()]) points_phis.append([quantities["epoch"], quantities["phis"].mean(), quantities["phis"].std()]) points_dphis.append([quantities["epoch"], quantities["dphis"].mean(), quantities["dphis"].std()]) points_etas.append([quantities["epoch"], quantities["etas"].mean(), quantities["etas"].std()]) points_detas.append([quantities["epoch"], quantities["detas"].mean(), quantities["detas"].std()]) mZs = data[:,0] zpz = Z_pZ(data[:,range(1,9)]) zpt = Z_pT(data[:,range(1,9)]) phis = get_phis(data[:,range(1,9)]) dphis = get_dphis(data[:,range(1,9)]) etas = get_etas(data[:,range(1,9)]) detas = get_detas(data[:,range(1,9)]) # zcent = 90.9925 # zstd = 5.2383 def moving_average(a, n=3) : ret = np.cumsum(a, dtype=float) ret[n:] = ret[n:] - ret[:-n] return ret[n - 1:] / n def make_plot(points, truth, label_truth, label_pred, fname): truth_cent = truth.mean() truth_std = truth.std() points = sorted(points) smooth = True window = 15 points = np.array(points) if not smooth: xvals = points[:,0] yvals = points[:,1] ydown = points[:,2] yup = points[:,2] else: xvals = points[:,0][window-1:] yvals = moving_average(points[:,1],n=window) ydown = moving_average(points[:,2],n=window) yup = moving_average(points[:,2],n=window) # hpred = r.TH1F("hpred",100,truth.min(),truth.max()) # htruth = r.TH1F("htruth",100,truth.min(),truth.max()) # fill_fast(hpred, yvals) # fill_fast(htruth, truth) ply.plot_graph( [ ([0.,max(xvals)],[truth_cent,truth_cent],[truth_std,truth_std],[truth_std,truth_std]), (xvals,yvals,ydown,yup), ], colors = [r.kAzure+2,r.kRed-2], legend_labels = [label_truth, label_pred], options = { "legend_alignment": "bottom right", "legend_scalex": 0.7, "xaxis_label": "epoch", "yaxis_label": label_pred, "output_name": fname, "output_ic": True, } ) make_plot(points_mz, mZs, "m_{Z}", "#mu(inv. mass)", "plots/epoch_mz.png") make_plot(points_zpt, zpt, "p_{T}^{Z}", "p_{T}^{Z} generated", "plots/epoch_zpt.png") make_plot(points_zpz, zpz, "p_{z}^{Z}", "p_{z}^{Z} generated", "plots/epoch_zpz.png") make_plot(points_phis, phis, "#phi(lep)", "#phi(lep) generated", "plots/epoch_phis.png") make_plot(points_dphis, dphis, "#delta#phi(l1,l2)", "#delta#phi(l1,l2) generated", "plots/epoch_dphis.png") make_plot(points_etas, etas, "#eta(lep)", "#eta(lep) generated", "plots/epoch_etas.png") make_plot(points_detas, detas, "#delta#eta(l1,l2)", "#delta#eta(l1,l2) generated", "plots/epoch_detas.png")

[ "amin.nj@gmail.com" ]

amin.nj@gmail.com

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/src/gamesbyexample/rainbow.py

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[]

no_license

asweigart/gamesbyexample

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222bfc3b15ade1cf3bde158ba72a8b7a969ccc5a

refs/heads/main

2023-07-16T12:12:58.541597

2021-09-01T21:24:35

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"""Rainbow, by Al Sweigart al@inventwithpython.com Shows a simple rainbow animation. Press Ctrl-C to stop. This code is available at https://nostarch.com/big-book-small-python-programming Tags: tiny, artistic, bext, beginner, scrolling""" __version__ = 0 import time, sys try: import bext except ImportError: print('This program requires the bext module, which you') print('can install by following the instructions at') print('https://pypi.org/project/Bext/') sys.exit() print('Rainbow, by Al Sweigart al@inventwithpython.com') print('Press Ctrl-C to stop.') time.sleep(3) indent = 0 # How many spaces to indent. indentIncreasing = True # Whether the indentation is increasing or not. try: while True: # Main program loop. print(' ' * indent, end='') bext.fg('red') print('##', end='') bext.fg('yellow') print('##', end='') bext.fg('green') print('##', end='') bext.fg('blue') print('##', end='') bext.fg('cyan') print('##', end='') bext.fg('purple') print('##') if indentIncreasing: # Increase the number of spaces: indent = indent + 1 if indent == 60: # (!) Change this to 10 or 30. # Change direction: indentIncreasing = False else: # Decrease the number of spaces: indent = indent - 1 if indent == 0: # Change direction: indentIncreasing = True time.sleep(0.02) # Add a slight pause. except KeyboardInterrupt: sys.exit() # When Ctrl-C is pressed, end the program.

[ "asweigart@gmail.com" ]

asweigart@gmail.com

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/adafruit-circuitpython-bundle-py-20210402/lib/adafruit_ble_eddystone/uid.py

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[]

no_license

apalileo/ACCD_PHCR_SP21

76d0e27c4203a2e90270cb2d84a75169f5db5240

37923f70f4c5536b18f0353470bedab200c67bad

refs/heads/main

2023-04-07T00:01:35.922061

2021-04-15T18:02:22

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# SPDX-FileCopyrightText: 2020 Scott Shawcroft for Adafruit Industries # # SPDX-License-Identifier: MIT """ `adafruit_ble_eddystone.uid` ================================================================================ Static Eddystone UID advertisement. Documented by Google here: https://github.com/google/eddystone/tree/master/eddystone-uid """ from . import EddystoneAdvertisement, EddystoneFrameStruct, EddystoneFrameBytes __version__ = "1.0.5" __repo__ = "https://github.com/adafruit/Adafruit_CircuitPython_BLE_Eddystone.git" class EddystoneUID(EddystoneAdvertisement): # pylint: disable=too-few-public-methods """Static Eddystone unique identifier. :param bytes instance_id: instance component of the id. 10 bytes long :param bytes namespace_id: namespace component of the id. 6 bytes long :param int tx_power: TX power at the beacon """ match_prefixes = (b"\x03\xaa\xfe", b"\x16\xaa\xfe\x00") frame_type = b"\x00" tx_power = EddystoneFrameStruct("<B", offset=0) """TX power at the beacon in dBm""" namespace_id = EddystoneFrameBytes(length=10, offset=1) """10 byte namespace id""" instance_id = EddystoneFrameBytes(length=6, offset=11) """6 byte instance id""" reserved = EddystoneFrameBytes(length=2, offset=17) def __init__(self, instance_id, *, namespace_id=b"CircuitPy!", tx_power=0): super().__init__(minimum_size=20) if self.mutable: self.tx_power = tx_power self.namespace_id = namespace_id self.instance_id = instance_id

[ "55570902+apalileo@users.noreply.github.com" ]

55570902+apalileo@users.noreply.github.com

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/pretrained_tfmodels.py

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[]

no_license

OlgaBelitskaya/kaggle_tfpractice

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ffcee547ea7817ffc5c81eb4817f03a4915f9009

refs/heads/main

2023-03-27T07:59:51.459085

2021-03-25T16:28:05

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# -*- coding: utf-8 -*- """pretrained-tfmodels.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1auXjQuWrUv42OIACAXzYaSZb316dSI-t """ # Commented out IPython magic to ensure Python compatibility. from IPython.display import display,HTML def dhtml(st): display(HTML("""<style> @import url('https://fonts.googleapis.com/css?family=Roboto|Ewert&effect=3d'); </style> # %s"""%st+"""<script> function setStyle(element,c) { var docs=document.getElementsByClassName('font-effect-3d'); for (var i=0; i<docs.length; i++) { docs[i].style='font-family:Ewert; font-size:22px;'; docs[i].style.color=c;}; }; </script>""")) dhtml('Code Modules & Helpful Functions') import numpy as np,pylab as pl,pandas as pd import h5py,tensorflow as tf import tensorflow_hub as th def premodel(pixels,dense,mh,labels): model=tf.keras.Sequential([ tf.keras.layers.Input((pixels,pixels,3), name='input'), th.KerasLayer(mh,trainable=True), tf.keras.layers.Flatten(), tf.keras.layers.Dense(dense,activation='relu'), tf.keras.layers.Dropout(rate=.5), tf.keras.layers.Dense(labels,activation='softmax')]) model.compile(optimizer='adam',metrics=['accuracy'], loss='sparse_categorical_crossentropy') display(model.summary()) return model fw='weights.best.hdf5' def cb(fw): early_stopping=tf.keras.callbacks\ .EarlyStopping(monitor='val_loss',patience=20,verbose=2) checkpointer=tf.keras.callbacks\ .ModelCheckpoint(filepath=fw,save_best_only=True,verbose=2) lr_reduction=tf.keras.callbacks\ .ReduceLROnPlateau(monitor='val_loss',verbose=2, patience=5,factor=.8) return [checkpointer,early_stopping,lr_reduction] def display_resize(x_train,x_valid,x_test, y_valid,pixels): x_train=tf.image.resize(x_train,[pixels,pixels]) x_valid=tf.image.resize(x_valid,[pixels,pixels]) x_test=tf.image.resize(x_test,[pixels,pixels]) img=x_valid[1] lbl='One example of resized images \nlabel: '+\ str(y_valid[1][0])+'\nshape: '+str(img.shape) pl.imshow(img); pl.title(lbl) return [x_train,x_valid,x_test] dhtml('Data Loading & Preprocessing') fpath='../input/classification-of-handwritten-letters/' f='LetterColorImages_123.h5' f=h5py.File(fpath+f,'r') keys=list(f.keys()); print(keys) x=np.array(f[keys[1]],dtype='float32')/255 y=np.array(f[keys[2]],dtype='int32')\ .reshape(-1,1)-1 N=len(y); n=int(.1*N) shuffle_ids=np.arange(N) np.random.RandomState(23).shuffle(shuffle_ids) x,y=x[shuffle_ids],y[shuffle_ids] x_test,x_valid,x_train=x[:n],x[n:2*n],x[2*n:] y_test,y_valid,y_train=y[:n],y[n:2*n],y[2*n:] x_valid.shape,y_valid.shape dhtml('Pre-Trained Saved Models') [handle_base,pixels]=["mobilenet_v2_050_96",96] dhtml('#1 '+handle_base) mhandle="https://tfhub.dev/google/imagenet/{}/feature_vector/4"\ .format(handle_base) [x_train1,x_valid1,x_test1]=\ display_resize(x_train,x_valid,x_test, y_valid,pixels) model=premodel(pixels,1024,mhandle,33) history=model.fit(x=x_train1,y=y_train,batch_size=64, epochs=50,callbacks=cb(fw), validation_data=(x_valid1,y_valid)) model.load_weights(fw) model.evaluate(x_test1,y_test) [handle_base,pixels]=["mobilenet_v2_075_96",96] dhtml('#2 '+handle_base) mhandle="https://tfhub.dev/google/imagenet/{}/feature_vector/4"\ .format(handle_base) model=premodel(pixels,1024,mhandle,33) history=model.fit(x=x_train1,y=y_train,batch_size=64, epochs=50,callbacks=cb(fw), validation_data=(x_valid1,y_valid)) model.load_weights(fw) model.evaluate(x_test1,y_test) [handle_base,pixels]=["mobilenet_v1_100_128",128] dhtml('#3 '+handle_base) mhandle="https://tfhub.dev/google/imagenet/{}/feature_vector/4"\ .format(handle_base) [x_train1,x_valid1,x_test1]=\ display_resize(x_train,x_valid,x_test, y_valid,pixels) model=premodel(pixels,1024,mhandle,33) history=model.fit(x=x_train1,y=y_train,batch_size=64, epochs=50,callbacks=cb(fw), validation_data=(x_valid1,y_valid)) model.load_weights(fw) model.evaluate(x_test1,y_test) [handle_base,pixels]=["mobilenet_v2_050_128",128] dhtml('#4 '+handle_base) mhandle="https://tfhub.dev/google/imagenet/{}/feature_vector/4"\ .format(handle_base) model=premodel(pixels,1024,mhandle,33) history=model.fit(x=x_train1,y=y_train,batch_size=64, epochs=50,callbacks=cb(fw), validation_data=(x_valid1,y_valid)) model.load_weights(fw) model.evaluate(x_test1,y_test)

[ "safuolga@gmail.com" ]

safuolga@gmail.com

7824041c43a79311186c6802442e4a2d26292730

fb00b570251ba52df467e4cc030a30e778f8a970

/Atividade 02 - semana 09/questão1_semana9_atividade02_runcodes.py

6893a0b29843828af8d9941aa6aed51063808c08

[]

no_license

SirLeonardoFerreira/Atividades-ifpi

7379f9df4640fd1ee3623d80e4341f495e855895

e366ee3f801dc9a1876c7399a2eefd37a03d0a55

refs/heads/master

2023-01-05T04:03:30.774277

2020-11-02T00:56:10

287,967,575

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from random import randint, seed seed() def gerar_matriz(linhas, colunas): matriz = [] for l in range(linhas): linha = [] for c in range(colunas): linha.append(int(input())) matriz.append(linha) return matriz def main(): numero = int(input()) resultado_matriz = gerar_matriz(numero, numero) aux_coluna = 0 aux_numero = 0 for num_linha in range(len(resultado_matriz)): for num_coluna in resultado_matriz[num_linha]: indice_coluna = resultado_matriz[num_linha].index(num_coluna, aux_coluna) if aux_numero == 0: num_maior = num_menor = num_coluna aux_coluna += 1 aux_numero += 1 tupla_maior_num = [num_linha, indice_coluna] tupla_menor_num = [num_linha, indice_coluna] if aux_coluna == numero - 1: aux_coluna = 0 else: if num_coluna > num_maior: num_maior = num_coluna tupla_maior_num = [num_linha, indice_coluna] elif num_coluna < num_menor: num_menor = num_coluna tupla_menor_num = [num_linha, indice_coluna] aux_coluna += 1 print(f'{tuple(tupla_maior_num)}') print(f'{tuple(tupla_menor_num)}') if __name__ == '__main__': main()

[ "lleoalves02@gmail.com" ]

lleoalves02@gmail.com

2a26ace393d5196c245e912229e343c128df3fb8

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/algorithms/DailyTemperatures/solution.py

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[]

no_license

P-ppc/leetcode

145102804320c6283fa653fc4a7ae89bf745b2fb

0d90db3f0ca02743ee7d5e959ac7c83cdb435b92

refs/heads/master

2021-07-12T02:49:15.369119

2018-11-13T05:34:51

2018-11-24T12:34:07

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class Solution(object): def dailyTemperatures(self, temperatures): """ :type temperatures: List[int] :rtype: List[int] """ length = len(temperatures) res = [0] * length stack = [] for i in xrange(length): while len(stack) > 0 and stack[-1]['value'] < temperatures[i]: e = stack.pop() res[e['index']] = i - e['index'] stack.append({ 'index': i, 'value': temperatures[i] }) return res

[ "ppc-user@foxmail.com" ]

ppc-user@foxmail.com

86fdb2307fbaf9aa02aa603604f2b03812fbd954

bd7887ed09185178331b8579a0f01690241f0daf

/Chapter-05/classification-labeledpoint.py

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[]

no_license

nanfengpo/MachineLearningSpark

a9622ef355e10f3697462eec5168078d01e689d7

de68154bd08908dc91ca9776c21dc2c6e441d242

refs/heads/master

2021-01-21T15:13:54.243853

2016-09-29T03:46:43

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# coding=utf-8 from pyspark import SparkContext, SparkConf from pyspark.mllib.regression import LabeledPoint from pyspark.mllib.classification import LogisticRegressionWithLBFGS from pyspark.mllib.classification import SVMWithSGD from pyspark.mllib.classification import NaiveBayes from pyspark.mllib.tree import DecisionTree from pyspark.mllib.linalg.distributed import RowMatrix from pyspark.mllib.linalg import Vectors from pyspark.mllib.feature import StandardScaler conf = SparkConf().setAppName("Classification-LabeledPoint").setMaster("local[2]").set("spark.executor.memory", "5g") sc = SparkContext(conf= conf) #get data source raw_data = sc.textFile("/user-program/python/MachineLearningSpark/Data/train-noheader.tsv") records = raw_data.map(lambda line : line.split("\t")) records_first_data = records.first() print("the first data of records :") print(records_first_data) print("the number of records fields :") print(len(records_first_data)) #get data feature def labeled_point(r): trimmed = map(lambda l : l.replace('\"', ' '), r) label = int(trimmed[len(trimmed)-1]) features = trimmed[4 : len(trimmed)-1] features = map(lambda f : f.replace('?', '0'), features) for i in range(0, len(features)): features[i] = float(features[i]) return LabeledPoint(label, Vectors.dense(features)) data = records.map(lambda r : labeled_point(r)) num_data = data.count() print("the number of data :") print(num_data) def labeled_point_nb(r): trimmed = map(lambda l : l.replace('\"', ' '), r) label = int(trimmed[len(trimmed)-1]) features = trimmed[4 : len(trimmed)-1] features = map(lambda f: f.replace('?', '0'), features) for i in range(0, len(features)): features[i] = float(features[i]) if features[i] < 0.0: features[i] = 0.0 return LabeledPoint(label, Vectors.dense(features)) nb_data = records.map(lambda r : labeled_point_nb(r)) print("the first data of nb data and the count of nb data:") print(nb_data.first()) #start train model num_iterations = 10 max_tree_depth = 5 lr_model = LogisticRegressionWithLBFGS().train(data, num_iterations) print("logistic regression model :") print(lr_model) svm_model = SVMWithSGD().train(data, num_iterations) print("svm model :") print(svm_model) nb_model = NaiveBayes().train(nb_data) print("naive bayes model :") print(nb_model) dt_model = DecisionTree().trainClassifier(data, 2, {}) print("decision tree model :") print(dt_model) #start predict data_point = data.first() lr_prediction = lr_model.predict(data_point.features) print("logistic model prediction :" + str(lr_prediction)) print("the true label :" + str(data_point.label)) #analyze data vectors = data.map(lambda lp : lp.features) matrix = RowMatrix(vectors) matrix_summary = matrix.computeColumnSummaryStatistics() print("the col mean of matrix :") print(matrix_summary.mean()) print("the col min of matrix :") print(matrix_summary.min()) print("the col max of matrix :") print(matrix_summary.max()) print("the col variance of matrix :") print(matrix_summary.variance()) print("the col num non zero of matrix :") print(matrix_summary.numNonzeros()) #transform data from data to standard scalar scaler = StandardScaler(withMean = True, withStd = True).fit(vectors) labels = data.map(lambda lp : lp.label) features_transformed = scaler.transform(vectors) scaled_data = (labels.zip(features_transformed).map(lambda p : LabeledPoint(p[0], p[1]))) print("transformation before :") print(data.first().features) print("transformation after :") print(scaled_data.first().features) #train logistic regression use scaled data lr_model_scaled = LogisticRegressionWithLBFGS().train(scaled_data, num_iterations) print("logistic regression model use scaled data :") print(lr_model_scaled) # def total_correct_scaled(sd): # if lr_model_scaled.predict(sd.features) == sd.label: # return 1 # else: # return 0 # lr_total_correct_scaled = scaled_data.map(lambda sd : total_correct_scaled(sd)).sum() # print(lr_total_correct_scaled) # lr_accuracy_scaled = float(lr_total_correct_scaled)/float(num_data) # print("logistic regression accuracy scaled :") # print(lr_accuracy_scaled) #the memory is enough sc.stop()

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# coding: utf-8 """ Healthbot APIs API interface for Healthbot application # noqa: E501 OpenAPI spec version: 1.0.0 Contact: healthbot-hackers@juniper.net Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class RuleSchemaFormulaStddev(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 = { 'field_name': 'str', 'time_range': 'str' } attribute_map = { 'field_name': 'field-name', 'time_range': 'time-range' } def __init__(self, field_name=None, time_range=None): # noqa: E501 """RuleSchemaFormulaStddev - a model defined in Swagger""" # noqa: E501 self._field_name = None self._time_range = None self.discriminator = None self.field_name = field_name self.time_range = time_range @property def field_name(self): """Gets the field_name of this RuleSchemaFormulaStddev. # noqa: E501 Field name on which standard deviation operation needs to be performed # noqa: E501 :return: The field_name of this RuleSchemaFormulaStddev. # noqa: E501 :rtype: str """ return self._field_name @field_name.setter def field_name(self, field_name): """Sets the field_name of this RuleSchemaFormulaStddev. Field name on which standard deviation operation needs to be performed # noqa: E501 :param field_name: The field_name of this RuleSchemaFormulaStddev. # noqa: E501 :type: str """ if field_name is None: raise ValueError("Invalid value for `field_name`, must not be `None`") # noqa: E501 self._field_name = field_name @property def time_range(self): """Gets the time_range of this RuleSchemaFormulaStddev. # noqa: E501 How much back in time should we look for data. Specify positive integer followed by s/m/h/d/w/y representing seconds/minutes/hours/days/weeks/years. Eg: 2s # noqa: E501 :return: The time_range of this RuleSchemaFormulaStddev. # noqa: E501 :rtype: str """ return self._time_range @time_range.setter def time_range(self, time_range): """Sets the time_range of this RuleSchemaFormulaStddev. How much back in time should we look for data. Specify positive integer followed by s/m/h/d/w/y representing seconds/minutes/hours/days/weeks/years. Eg: 2s # noqa: E501 :param time_range: The time_range of this RuleSchemaFormulaStddev. # noqa: E501 :type: str """ if time_range is None: raise ValueError("Invalid value for `time_range`, must not be `None`") # noqa: E501 if time_range is not None and not re.search('^[1-9][0-9]*[smhdwy]$', time_range): # noqa: E501 raise ValueError("Invalid value for `time_range`, must be a follow pattern or equal to `/^[1-9][0-9]*[smhdwy]$/`") # noqa: E501 self._time_range = time_range 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, RuleSchemaFormulaStddev): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

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/tests/run_tests.py

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gokererdogan/rllib

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""" rllib - Reinforcement Learning Library Script for running tests. Enables the user to skip slow tests and run only the selected test modules. Run using python run_tests.py module1 module2 ... --skipslow To run coverage analysis run (requires coverage.py to be installed) coverage run --source ../ run_tests.py module1 module 2 ... --skipslow Goker Erdogan https://github.com/gokererdogan/ """ import unittest import argparse if __name__ == '__main__': parser = argparse.ArgumentParser(description="Run rllib unittests.") parser.add_argument('modules', type=str, nargs='+', help='Test module names to run. If discover, ' 'uses unittest.discover to find tests in ' 'the current folder.') # note that --skipslow parameter seems to have no effect here but it is checked in TestCase classes using # unittest skipIf decorator. parser.add_argument('--skipslow', action='store_true', help='Do not run slow tests.') args = parser.parse_args() loader = unittest.TestLoader() if 'discover' in args.modules: tests = loader.discover('./') else: tests = loader.loadTestsFromNames(args.modules) unittest.TextTestRunner(verbosity=2).run(tests)

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#!/usr/bin/python # -*- coding: utf-8 -*- # API calls to interact with Github from google.appengine.api import urlfetch import base64 import json import logging import urllib from datetime import datetime, timedelta, time from google.appengine.api import memcache import tools from bs4 import BeautifulSoup BASE = 'https://api.github.com' REPO_MEMKEY = "GITHUB:%s" GH_DATE = "%Y-%m-%dT%H:%M:%SZ" class GithubClient(object): def __init__(self, user): self.user = user self.pat = self.user.get_integration_prop('github_pat') self.github_username = self.user.get_integration_prop('github_username') def _can_run(self): return self.pat and self.github_username def _parse_raw_date(self, date): return datetime.strptime(date, GH_DATE) def api_call(self, url): ''' Return tuple (response_object, json parsed response) ''' if not url.startswith('http'): url = BASE + url auth_header = {"Authorization": "Basic %s" % base64.b64encode("%s:%s" % (self.github_username, self.pat))} logging.debug("GET %s" % url) response = urlfetch.fetch(url, method="GET", deadline=60, headers=auth_header) if response.status_code == 200: return (response, json.loads(response.content)) else: logging.debug(response.content) return (response, None) def get_contributions_on_date_range(self, date_range): ''' Currently scraping Github public overview page (no API yet) ''' response = urlfetch.fetch("https://github.com/%s?tab=overview" % self.github_username, deadline=30) if response.status_code == 200: bs = BeautifulSoup(response.content, "html.parser") commits_dict = {} for date in date_range: iso_date = tools.iso_date(date) commits_on_day = bs.find('rect', {'data-date': iso_date}).get('data-count', 0) commits_dict[date] = commits_on_day return commits_dict else: logging.error("Error getting contributions")

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onejgordon@gmail.com

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/caffe2/python/operator_test/reduce_ops_test.py

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from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from caffe2.python import core from hypothesis import given import caffe2.python.hypothesis_test_util as hu import hypothesis.strategies as st import numpy as np class TestReduceFrontSum(hu.HypothesisTestCase): def reduce_op_test(self, op_name, op_ref, in_data, num_reduce_dims, device): op = core.CreateOperator( op_name, ["inputs"], ["outputs"], num_reduce_dim=num_reduce_dims ) self.assertReferenceChecks( device_option=device, op=op, inputs=[in_data], reference=op_ref ) self.assertGradientChecks( device, op, [in_data], 0, [0], stepsize=1e-2, threshold=1e-2) @given(num_reduce_dim=st.integers(1, 3), **hu.gcs) def test_reduce_from_sum(self, num_reduce_dim, gc, dc): X = np.random.rand(7, 4, 3, 5).astype(np.float32) def ref_sum(X): return [np.sum(X, axis=(tuple(range(num_reduce_dim))))] self.reduce_op_test("ReduceFrontSum", ref_sum, X, num_reduce_dim, gc) @given(num_reduce_dim=st.integers(1, 3), **hu.gcs) def test_reduce_from_mean(self, num_reduce_dim, gc, dc): X = np.random.rand(6, 7, 8, 2).astype(np.float32) def ref_mean(X): return [np.mean(X, axis=(tuple(range(num_reduce_dim))))] self.reduce_op_test("ReduceFrontMean", ref_mean, X, num_reduce_dim, gc)

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facebook-github-bot@users.noreply.github.com

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/contrib/python/pyzmq/py2/zmq/green/device.py

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catboost/catboost

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# Copyright (C) PyZMQ Developers # Distributed under the terms of the Modified BSD License. import zmq from zmq.green import Poller def device(device_type, isocket, osocket): """Start a zeromq device (gevent-compatible). Unlike the true zmq.device, this does not release the GIL. Parameters ---------- device_type : (QUEUE, FORWARDER, STREAMER) The type of device to start (ignored). isocket : Socket The Socket instance for the incoming traffic. osocket : Socket The Socket instance for the outbound traffic. """ p = Poller() if osocket == -1: osocket = isocket p.register(isocket, zmq.POLLIN) p.register(osocket, zmq.POLLIN) while True: events = dict(p.poll()) if isocket in events: osocket.send_multipart(isocket.recv_multipart()) if osocket in events: isocket.send_multipart(osocket.recv_multipart())

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akhropov@yandex-team.com

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/examples/benchmarks/json/parsers/parsimonious_json.py

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eerimoq/textparser

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"""Based on https://gist.github.com/goodmami/686385b4b39a3bac00fbbe78a5cda6c8, by Michael Wayne Goodman. """ import timeit from parsimonious.grammar import Grammar grammar = Grammar( r""" Start = ~"\s*" ( Object / Array ) ~"\s*" Object = ~"{\s*" Members? ~"\s*}" Members = MappingComma* Mapping MappingComma = Mapping ~"\s*,\s*" Mapping = DQString ~"\s*:\s*" Value Array = ~"\[\s*" Items? ~"\s*\]" Items = ValueComma* Value ValueComma = Value ~"\s*,\s*" Value = Object / Array / DQString / TrueVal / FalseVal / NullVal / Float / Integer TrueVal = "true" FalseVal = "false" NullVal = "null" DQString = ~"\"[^\"\\\\]*(?:\\\\.[^\"\\\\]*)*\"" Float = ~"[-+]?(\d+(\.\d*)?|\.\d+)([eE][-+]?\d+)?" Integer = ~"[-+]?\d+" """) def parse_time(json_string, iterations): def _parse(): grammar.parse(json_string) return timeit.timeit(_parse, number=iterations) def parse(json_string): return grammar.parse(json_string) def version(): return 'unknown'

[ "erik.moqvist@gmail.com" ]

erik.moqvist@gmail.com

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/algorithms/dynamic/binomial_coefficient_2.py

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samyuktahegde/Python

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def binomial_coeffient(n, k): c = [[0 for x in range(k+1)] for x in range(n+1)] for i in range(n+1): for j in range(min(i, k)+1): if j==0 or j==i: c[i][j] = 1 else: c[i][j] = c[i-1][j-1]+c[i-1][j] return c[n][k] n = 4 k = 2 print("Value of C[" + str(n) + "][" + str(k) + "] is " + str(binomial_coeffient(n,k)))

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/xai/brain/wordbase/nouns/_chequebooks.py

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from xai.brain.wordbase.nouns._chequebook import _CHEQUEBOOK #calss header class _CHEQUEBOOKS(_CHEQUEBOOK, ): def __init__(self,): _CHEQUEBOOK.__init__(self) self.name = "CHEQUEBOOKS" self.specie = 'nouns' self.basic = "chequebook" self.jsondata = {}

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xingwang1991@gmail.com

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/version1/884_Uncommon_Words_from_Two_Sentences.py

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[]

no_license

moontree/leetcode

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""" We are given two sentences A and B. (A sentence is a string of space separated words. Each word consists only of lowercase letters.) A word is uncommon if it appears exactly once in one of the sentences, and does not appear in the other sentence. Return a list of all uncommon words. You may return the list in any order. Example 1: Input: A = "this apple is sweet", B = "this apple is sour" Output: ["sweet","sour"] Example 2: Input: A = "apple apple", B = "banana" Output: ["banana"] Note: 0 <= A.length <= 200 0 <= B.length <= 200 A and B both contain only spaces and lowercase letters. """ class Solution(object): def uncommonFromSentences(self, A, B): """ :type A: str :type B: str :rtype: List[str] """ cache = {} for word in A.split(): cache[word] = cache.get(word, 0) + 1 for word in B.split(): cache[word] = cache.get(word, 0) + 1 return [key for key in cache if cache[key] == 1] examples = [ { "input": { "A": "this apple is sweet", "B": "this apple is sour" }, "output": ["sweet", "sour"] }, { "input": { "A": "apple apple", "B": "banana" }, "output": ["banana"] } ] if __name__ == '__main__': solution = Solution() for n in dir(solution): if not n.startswith('__'): func = getattr(solution, n) print(func) for example in examples: print '----------' v = func(**example['input']) print v, v == example['output']

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zhangchao@zhangchaodeMacBook-Pro.local

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no_license

yurui829/stefanbo

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#!/usr/bin/env python # File timeseqs.py import sys, mytimer reps = 10000 repslist = range(reps) def forLoop(): res = [] for x in repslist: res.append(abs(x)) return res def listComp(): return [abs(x) for x in repslist] def mapCall(): return list(map(abs, repslist)) def genExpr(): return list(abs(x) for x in repslist) def genFunc(): def gen(): for x in repslist: yield abs(x) return list(gen()) print(sys.version) for tester in (mytimer.timer, mytimer.best): print('<%s>' % tester.__name__) for test in (forLoop, listComp, mapCall, genExpr, genFunc): elapsed, result = tester(test) print ('-' * 35) print ('%-9s: %.5f => [%s...%s]') % (test.__name__, elapsed, result[0], result[-1])

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/setup.py

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[]

no_license

research-core/core-people

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#!/usr/bin/python # -*- coding: utf-8 -*- import re from setuptools import setup, find_packages version, license = None, None with open('people/__init__.py', 'r') as fd: content = fd.read() version = re.search(r'^__version__\s*=\s*[\'"]([^\'"]*)[\'"]', content, re.MULTILINE).group(1) license = re.search(r'^__license__\s*=\s*[\'"]([^\'"]*)[\'"]', content, re.MULTILINE).group(1) if version is None: raise RuntimeError('Cannot find version information') if license is None: raise RuntimeError('Cannot find license information') with open('README.md', 'r') as fd: long_description = fd.read() setup( name='core-people', version=version, description='Research CORE ERM - people module', author='Ricardo Ribeiro, Hugo Cachitas', author_email='ricardojvr@gmail.com, hugo.cachitas@research.fchampalimaud.org', url='https://github.com/research-core/core-people', long_description=long_description, long_description_content_type='text/markdown', packages=find_packages(), license=license, install_requires=['core-common'], package_data={ 'people': [ 'fixtures/initial_data.yaml', 'static/img/*.png', 'static/*.png', ] }, )

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"""doc # deeptech.training.optimizers._smart_optimizer > Automatically create an optimizer with the parameters of the model. """ from deeptech.core.config import inject_kwargs def smart_optimizer(optimizer, *args, **kwargs): """ Convert a pytorch optimizer into a lambda function that expects the config, model and loss as parameters, to instantiate the optimizer with all trainable parameters. :param optimizer: A pytorch optimizer that should be made smart. :param *args: Any ordered arguments the original optimizer expects. :param **kwargs: Any named arguments the original optimizer expects. """ def _join_parameters(model, loss): model_params = list(model.parameters()) loss_params = list(loss.parameters()) return model_params + loss_params @inject_kwargs() def create_optimizer(model, loss, training_initial_lr=None): return optimizer(_join_parameters(model, loss), training_initial_lr, *args, **kwargs) return create_optimizer

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import re def valid_color (color): return bool(re.match("rgb(a)?$(,?((?=\d{1,3}\%)(100|\d{1,2})\%|(25[0-5]|1?\d{1,2}))){3}(?(1),(1\.0*|0?\.?\d+))$", "".join(color.split()))) and (color.startswith("rgb(") or color.startswith("rgba("))

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/hongkong/hongkong/spiders/HKEX_delisted_company_list.py

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waynecanfly/spiderItemV2

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# -*- coding: utf-8 -*- import time import scrapy from hongkong.items import HongKongDelistedCompanyItem from samples.base_rule import HKEXIsNewDelistedSec class HkexDelistedCompanyListSpider(scrapy.Spider): '''获取退上市公司列表''' name = 'HKEX_delisted_company_list' allowed_domains = ['webb-site.com'] start_urls = ['http://webb-site.com/'] market_url_dict = { 'main': 'https://webb-site.com/dbpub/delisted.asp?s=nameup&t=s&e=m', 'gem': 'https://webb-site.com/dbpub/delisted.asp?s=nameup&t=s&e=g' } def start_requests(self): new_market_url_dict = {v: k for k, v in self.market_url_dict.items()} for url in self.market_url_dict.values(): bond_info = new_market_url_dict[url] yield scrapy.Request(url=url, callback=self.parse, meta={ 'bond_info': bond_info, }) # print(new_market_url_dict) def parse(self, response): market_type = response.meta['bond_info'] infos = response.xpath("//body/div[@class='mainbody']/table[@class='numtable']") info_list = infos.xpath("//tr") info_list.pop(0) for info in info_list: stock_code = info.xpath("./td[2]/a/text()").extract() issuer = info.xpath("./td[4]/a/text()").extract() first_trade = info.xpath("./td[5]/text()").extract() last_trade = info.xpath("./td[6]/text()").extract() delisted_date = info.xpath("./td[7]/text()").extract() trading_life_years = info.xpath("./td[8]/text()").extract() reason = info.xpath("./td[9]/text()").extract() # 以下代码重复严重，可以重写 if len(stock_code) == 0: stock_code = 'Null' else: stock_code = stock_code[0] if len(issuer) == 0: issuer = 'Null' else: issuer = issuer[0] if len(first_trade) == 0: first_trade = 'Null' else: first_trade = first_trade[0] if len(last_trade) == 0: last_trade = 'Null' else: last_trade = last_trade[0] if len(delisted_date) == 0: delisted_date = 'Null' else: delisted_date = delisted_date[0] if len(trading_life_years) == 0: trading_life_years = 'Null' else: trading_life_years = trading_life_years[0] if len(reason) == 0: reason = 'Null' else: reason = reason[0] gmt_create = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())) if not HKEXIsNewDelistedSec(stock_code): item = HongKongDelistedCompanyItem() item['country_code'] = 'HKG' item['exchange_market_code'] = 'HKEX' item['security_code'] = stock_code item['issuer'] = issuer item['first_trade'] = first_trade item['market_type'] = market_type item['last_trade'] = last_trade item['delisting_date'] = delisted_date item['trading_life_years'] = trading_life_years item['status'] = -2 item['reason'] = reason item['gmt_create'] = gmt_create item['user_create'] = 'cf' yield item

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class Solution: def removeDuplicates(self, nums: List[int]) -> int: if len(nums) < 2: return len(nums) start = 0 moving = 1 while moving < len(nums): while moving < len(nums) and nums[start] == nums[moving]: moving += 1 if moving == len(nums): break nums[start + 1] = nums[moving] start += 1 moving += 1 return start + 1

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tlwakwella/commcare-hq

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from __future__ import unicode_literals import json import time from corehq.util.soft_assert import soft_assert from kafka import KeyedProducer from kafka.common import LeaderNotAvailableError, FailedPayloadsError, KafkaUnavailableError from corehq.apps.change_feed.connection import get_kafka_client_or_none import logging def send_to_kafka(producer, topic, change_meta): def _send_to_kafka(): producer.send_messages( bytes(topic), bytes(change_meta.domain.encode('utf-8') if change_meta.domain is not None else None), bytes(json.dumps(change_meta.to_json())), ) try: tries = 3 for i in range(tries): # try a few times because the python kafka libraries can trigger timeouts # if they are idle for a while. try: _send_to_kafka() break except (FailedPayloadsError, KafkaUnavailableError): if i == (tries - 1): # if it's the last try, fail hard raise except LeaderNotAvailableError: # kafka seems to be down. sleep a bit to avoid crazy amounts of error spam time.sleep(15) raise except Exception as e: _assert = soft_assert(to='@'.join(['czue', 'dimagi.com'])) _assert(False, 'Problem sending change to kafka {}: {} ({})'.format( change_meta.to_json(), e, type(e) )) raise class ChangeProducer(object): def __init__(self, kafka=None): self._kafka = kafka self._producer = None self._has_error = False @property def kafka(self): # load everything lazily to avoid doing this work if not needed if self._kafka is None and not self._has_error: self._kafka = get_kafka_client_or_none() if self._kafka is None: logging.warning('Kafka is not available! Change producer is doing nothing.') self._has_error = True return self._kafka @property def producer(self): if self._producer is None and not self._has_error: if self.kafka is not None: self._producer = KeyedProducer(self._kafka) else: # if self.kafka is None then we should be in an error state assert self._has_error return self._producer def send_change(self, topic, change_meta): if self.producer: send_to_kafka(self.producer, topic, change_meta) producer = ChangeProducer()

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czue@dimagi.com

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# coding: utf-8 import re import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class BandwidthResult: """ 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 = { 'size': 'int', 'share_type': 'str', 'charging_mode': 'str', 'id': 'str' } attribute_map = { 'size': 'size', 'share_type': 'share_type', 'charging_mode': 'charging_mode', 'id': 'id' } def __init__(self, size=None, share_type=None, charging_mode=None, id=None): """BandwidthResult - a model defined in huaweicloud sdk""" self._size = None self._share_type = None self._charging_mode = None self._id = None self.discriminator = None if size is not None: self.size = size if share_type is not None: self.share_type = share_type if charging_mode is not None: self.charging_mode = charging_mode if id is not None: self.id = id @property def size(self): """Gets the size of this BandwidthResult. 带宽（Mbit/s）。 :return: The size of this BandwidthResult. :rtype: int """ return self._size @size.setter def size(self, size): """Sets the size of this BandwidthResult. 带宽（Mbit/s）。 :param size: The size of this BandwidthResult. :type: int """ self._size = size @property def share_type(self): """Gets the share_type of this BandwidthResult. 带宽的共享类型。共享类型枚举：PER，表示独享。目前只支持独享。 :return: The share_type of this BandwidthResult. :rtype: str """ return self._share_type @share_type.setter def share_type(self, share_type): """Sets the share_type of this BandwidthResult. 带宽的共享类型。共享类型枚举：PER，表示独享。目前只支持独享。 :param share_type: The share_type of this BandwidthResult. :type: str """ self._share_type = share_type @property def charging_mode(self): """Gets the charging_mode of this BandwidthResult. 带宽的计费类型。字段值为“bandwidth”，表示按带宽计费。字段值为“traffic”，表示按流量计费。 :return: The charging_mode of this BandwidthResult. :rtype: str """ return self._charging_mode @charging_mode.setter def charging_mode(self, charging_mode): """Sets the charging_mode of this BandwidthResult. 带宽的计费类型。字段值为“bandwidth”，表示按带宽计费。字段值为“traffic”，表示按流量计费。 :param charging_mode: The charging_mode of this BandwidthResult. :type: str """ self._charging_mode = charging_mode @property def id(self): """Gets the id of this BandwidthResult. 带宽ID，创建WHOLE类型带宽的弹性IP时指定的共享带宽。 :return: The id of this BandwidthResult. :rtype: str """ return self._id @id.setter def id(self, id): """Sets the id of this BandwidthResult. 带宽ID，创建WHOLE类型带宽的弹性IP时指定的共享带宽。 :param id: The id of this BandwidthResult. :type: str """ self._id = id 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, BandwidthResult): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

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hwcloudsdk@huawei.com

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WheatZhang/DynamicModelling

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2020-06-15T14:12:50.373047

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def LiqEtlp_pP(P,T,x_N2): x = (P-5.56380000e+02)/3.71707300e-01 y = (T--1.77068007e+02)/5.35543333e-02 z = (x_N2-9.17851528e-01)/8.26935123e-03 output = \ 1*2.41243980e+01 liq_etlp = output*1.00000000e+00+0.00000000e+00 return liq_etlp

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1052632241@qq.com

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wangsen992/ragdoll

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2021-06-23T00:23:54.738709

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""" Ragdoll initialisation. """ from .db import * from .composite import * from .nutrient import * from .flyweight import * from .dictionary import * from .human import * from .req import * from .plots import * __version__=0.1

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wangsen992@gmail.com

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mdkmongo/semantichealth.github.io

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2021-01-21T08:24:07.128484

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from sklearn.feature_extraction.text import CountVectorizer from get_query_clusters import * import numpy as np def query_characterizer(queries, log, similarity_limit = 0.9): ''' queries - list of string for queries return - list of integers to indicate cluster for each query ''' # vectorize queries log.trace('characterizing %d queries' %queries.shape[0]) characterizer = CountVectorizer() encoded_query = characterizer.fit_transform(queries) # set all values to 1 of encoded query (don't care duplicate terms in query) encoded_query.data = np.ones(encoded_query.data.size) # find the optimal clusters based on minimum within cluster distance min_sim, k = 0, 0 while min_sim < similarity_limit: k += 1 clusters, min_sim, centroids = get_query_clusters(encoded_query, k, log) log.trace('characterizing queries with k = %d, minimum similarity is %.4f' %(k, min_sim)) return clusters, characterizer.vocabulary_, centroids.toarray() #, avg_sim, k

[ "ynglei@gmail.com" ]

ynglei@gmail.com

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/app/user/v1/services/otp_service.py

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iCodeIN/whatsapp_clone_backend

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refs/heads/master

2023-02-23T17:28:15.960392

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from helpers.cache_adapter import CacheAdapter from helpers.misc_helper import get_random_number class OTPService(): def __init__(self, mobile_number): self.mobile_number = mobile_number self.OTP_PREFIX = 'OTP_' self.OTP_EXPIRY = 600 # in seconds self.cache_adapter = CacheAdapter() def get_otp(self): """ Returns the OTP stored in cache for the given number """ key = self.OTP_PREFIX + self.mobile_number return self.cache_adapter.get(key) def clear_otp(self): """ Clears the OTP from the cache """ key = self.OTP_PREFIX + self.mobile_number self.cache_adapter.delete(key) def generate_otp(self): """ Generates OTP for the given mobile number """ key = self.OTP_PREFIX + self.mobile_number # Gets a new OTP if not present in cache, # and if it's already present, returns the same # OTP one_time_password = self.cache_adapter.get(key) if one_time_password is None: one_time_password = get_random_number() # setting the OTP in cache self.cache_adapter.set( key, one_time_password, self.OTP_EXPIRY ) return one_time_password

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# Copyright 2020 Huawei Technologies Co., Ltd # # 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. # ============================================================================ # -*- coding: utf-8 -*- """demo.py """ import os import torch import numpy as np from googlenet import googlenet import argparse from apex import amp import apex import torch.distributed as dist parser = argparse.ArgumentParser(description=' googlenet demo ') parser.add_argument('--device', default='npu', type=str, help='npu or gpu') parser.add_argument('--device-list', default='0,1,2,3,4,5,6,7', type=str, help='device id list') parser.add_argument('--dist-backend', default='hccl', type=str, help='distributed backend') parser.add_argument('--addr', default='192.168.88.3', type=str, help='master addr') ''' print("=> loading checkpoint '{}'".format(args.resume)) checkpoint = torch.load(args.resume, map_location=loc) args.start_epoch = checkpoint['epoch'] best_acc1 = checkpoint['best_acc1'] model.load_state_dict(checkpoint['state_dict']) optimizer.load_state_dict(checkpoint['optimizer']) if args.amp: amp.load_state_dict(checkpoint['amp']) print("=> loaded checkpoint '{}' (epoch {})" .format(args.resume, checkpoint['epoch'])) ''' def device_id_to_process_device_map(device_list): devices = device_list.split(",") devices = [int(x) for x in devices] devices.sort() process_device_map = dict() for process_id, device_id in enumerate(devices): process_device_map[process_id] = device_id return process_device_map def build_model(): global loc # 请自定义模型并加载预训练模型 args = parser.parse_args() args.process_device_map = device_id_to_process_device_map(args.device_list) os.environ['MASTER_ADDR'] = args.addr os.environ['MASTER_PORT'] = '29688' ngpus_per_node = len(args.process_device_map) dist.init_process_group(backend=args.dist_backend, # init_method=args.dist_url, world_size=1, rank=0) args.gpu = args.process_device_map[0] loc = 'npu:{}'.format(args.gpu) torch.npu.set_device(loc) model = googlenet().to(loc) optimizer = apex.optimizers.NpuFusedSGD(model.parameters(), 0.5, momentum=0.9, weight_decay=1.0e-04) model, optimizer = amp.initialize(model, optimizer, opt_level="O2", loss_scale=1024) model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[args.gpu], broadcast_buffers=False) checkpoint = torch.load('./checkpoint.pth.tar') model.load_state_dict(checkpoint['state_dict']) model.eval() # 注意设置eval模式 return model def get_raw_data(): # 请自定义获取数据方式，请勿将原始数据上传至代码仓 from PIL import Image from urllib.request import urlretrieve IMAGE_URL = 'https://bbs-img.huaweicloud.com/blogs/img/thumb/1591951315139_8989_1363.png' urlretrieve(IMAGE_URL, 'tmp.jpg') img = Image.open("tmp.jpg") img = img.convert('RGB') return img def pre_process(raw_data): # 请自定义模型预处理方法 from torchvision import transforms normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) transforms_list = transforms.Compose([ transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor(), normalize ]) input_data = transforms_list(raw_data) return input_data.unsqueeze(0) def post_process(output_tensor): # 请自定义后处理方法 print(output_tensor) return torch.argmax(output_tensor, 1) if __name__ == '__main__': # 1. 获取原始数据 raw_data = get_raw_data() # 2. 构建模型 model = build_model() # 3. 预处理 input_tensor = pre_process(raw_data) # 4. 执行forward output_tensor = model(input_tensor.to(loc)) # 5. 后处理 result = post_process(output_tensor) # 6. 打印 print(result)

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wangjiangben@huawei.com

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/libs/pyglet/baby/entity.py

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jaredly/GameCC

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#!/usr/bin/env python import pyglet from pyglet import * class Entity(object): def __init__(self, id, size, x, y, rot): self.id = id self.size = size self.x = x self.y = y self.rot = rot def draw(self): glLoadIdentity() glTranslatef(self.x, self.y, 0.0) glRotatef(self.rot, 0, 0, 1) glScalef(self.size, self.size, 1.0) glBegin(GL_TRIANGLES) glColor4f(1.0, 0.0, 0.0, 0.0) glVertex2f(0.0, 0.5) glColor4f(0.0, 0.0, 1.0, 1.0) glVertex2f(0.2, -0.5) glColor4f(0.0, 0.0, 1.0, 1.0) glVertex2f(-0.2, -0.5) glEnd() # vim: et sw=4 sts=4

[ "jared@jaredforsyth.com" ]

jared@jaredforsyth.com

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/5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/225/users/4308/codes/1635_2445.py

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JosephLevinthal/Research-projects

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2022-07-31T06:43:02.686109

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t = input("temp em celsius c / F: ") vt = float(input("valor da temp: ")) if (t == "F"): v = 5 / 9 * (vt - 32) if (t == "C"): v = (vt *(9 / 5)) + 32 print(round(v , 2))

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/MyLeetCode/python/Remove Duplicates from Sorted Array II.py

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ihuei801/leetcode

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### # Time Complexity: O(n) # Space Complexity: O(1) ### class Solution(object): def removeDuplicates(self, nums): """ :type nums: List[int] :rtype: int """ if len(nums) < 3: return len(nums) i = l = 2 while i < len(nums): if nums[i] > nums[l-2]: nums[l] = nums[i] l += 1 i += 1 return l

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hhuang@pinterest.com

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/Python算法指南/48_矩阵元素ZigZag返回_图形轨迹_难.py

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refs/heads/master

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class Solution: def printZMatrix(self, matrix): x, y= 0, 0 xLen = len(matrix[0]) yLen = len(matrix) dx = [-1, 1] dy = [1, -1] ans = [matrix[x][y]] direct = 1 for i in range(xLen * yLen - 1): # 因为提前加入了一个元素, 所以长度减1 nextX = x + dx[direct] nextY = y + dy[direct] if nextX >= 0 and nextX < xLen and nextY >= 0 and nextY < yLen: x = x + dx[direct] y = y + dy[direct] ans.append(matrix[y][x]) else: if direct == 1: if nextY < 0: x = x + 1 ans.append(matrix[y][x]) else: y = y + 1 ans.append(matrix[y][x]) direct = 0 else: if nextX < 0: y = y + 1 ans.append(matrix[y][x]) else: x = x + 1 ans.append(matrix[y][x]) direct = 1 return ans # 主函数 if __name__ == "__main__": matrim = [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]] # 创建对象 solution = Solution() print("输入的数组为：", matrim) print("ZigZag顺序返回矩阵的所有元素是：", solution.printZMatrix(matrim)) # class Solution: # def printZMatrix(self, matrix): # if len(matrix) == 0: # return [] # x, y = 0, 0 # n, m = len(matrix), len(matrix[0]) # rows, cols = range(n), range(m) # dx = [1, -1] #x的左右方向 # dy = [-1, 1] #y的上下方向 # direct = 1 # 1 = 左下方移动, 0 = 右上方移动, # result = [] #轨迹上的点序 # for i in range(len(matrix) * len(matrix[0])): # 循环二维列表 # result.append(matrix[x][y]) # nextX = x + dx[direct] # 试探 # nextY = y + dy[direct] # if nextX not in rows or nextY not in cols: # 当x和y都在集合中时, 不需要进入该判断条件 # if direct == 1: #左下方移动, 只有可能, 左边小于0, 下面超出范围. # if nextY >= m: # m是最大行号 # nextX, nextY = x + 1, y # 向左下移动超过最大行, 则向右横向移动 # else: # nextX, nextY = x, y + 1 # 否则, 向下移动 # else: # if nextX >= n: # n是最大列号 # nextX, nextY = x, y + 1 # 向右上移动超过最大列, 则向下移动 # else: # nextX, nextY = x + 1, y #否则, 向右移动 # direct = 1 - direct # 超出列表的最大行数或列数, 改变方向 # x, y = nextX, nextY # return result

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1325338208@qq.com

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/learning/sqlalchemy/firebird.py

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rsprenkels/python

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import logging import time from sqlalchemy import create_engine import re # need to have FDB python firebird driver installed: https://pypi.org/project/fdb/ # and some libraries: sudo apt-get install firebird3.0-common firebird3.0-utils firebird-dev firebird3.0-doc # engine = create_engine('mysql+pymysql://etl:fN9GwzhXrYtcrj@dev-reportingdb001.m.int1-dus.dg-ao.de/dwsta') #engine = create_engine('mysql+pymysql://jdbc:firebirdsql://10.100.211.55:3050/D:\\variobill\\production_dg\\data\\DG_VARIOBILL.FDB?lc_ctype=UTF8') engine = create_engine('firebird+fdb://SYSDBA:Guiffez9@10.100.211.55:3050/D:\\variobill\\production_dg\\data\\DG_VARIOBILL.FDB') query = """ SELECT T.*, -- lots of work is available, but throughput in the last minute less than <threshhold> CASE WHEN T.num_old_notcompleted_orders >= 1 AND T.num_recently_finished < 5 THEN 1 ELSE 0 END AS Document_service_is_down FROM ( SELECT ( SELECT count(*) AS num_old_notcompleted_orders FROM DOCUMENT_ORDERS WHERE TS_WORK_FINISHED IS NULL -- order not completed AND TS_ORDER_CREATED > dateadd( -10 DAY TO CAST('Now' AS DATE)) -- orders created in last 10 days AND datediff(SECOND, TS_ORDER_CREATED, CAST('NOW' AS timestamp)) >= 60 -- orders older than 60 seconds ), ( SELECT count(*) AS num_recently_finished FROM DOCUMENT_ORDERS WHERE TS_WORK_FINISHED IS NOT NULL -- order completed AND TS_ORDER_CREATED > dateadd( -10 DAY TO CAST('Now' AS DATE)) -- orders created in last 10 days AND datediff(SECOND, TS_WORK_FINISHED, CAST('NOW' AS timestamp)) < 30 -- finished within the last 30 seconds ) FROM RDB$DATABASE rd ) T """ logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO) log = logging.getLogger('queue_moni') log.info("Starting ...") while True: connection = engine.connect() result = connection.execute(query) for row in result: res = {} for k, v in zip(result.keys(), row): res[k] = v log.info(res) connection.close() time.sleep(5) connection.close()

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ron.sprenkels@gmail.com

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/corehq/apps/app_manager/migrations/0014_create_exchangeapplication.py

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dimagi/commcare-hq

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# -*- coding: utf-8 -*- # Generated by Django 1.11.27 on 2020-03-12 20:09 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('app_manager', '0013_rename_sqlglobalappconfig'), ] operations = [ migrations.CreateModel( name='ExchangeApplication', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('domain', models.CharField(max_length=255)), ('app_id', models.CharField(max_length=255)), ], ), migrations.AlterUniqueTogether( name='exchangeapplication', unique_together=set([('domain', 'app_id')]), ), ]

[ "orange.jenny@gmail.com" ]

orange.jenny@gmail.com

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/tests/03-opencv-test-slow.py

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praveen-palanisamy/duckietown-slimremote

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refs/heads/master

2020-03-27T08:09:43.455059

2018-08-21T18:34:33

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2018-08-26T23:58:55

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import random import time import numpy as np import cv2 cap = cv2.VideoCapture(0) for i in range(19): print(i, cap.get(i)) # properties are listed here: # https://docs.opencv.org/2.4/modules/highgui/doc/reading_and_writing_images_and_video.html#videocapture-get cap.set(3, 320) cap.set(4, 240) cap.set(5, 90) # framerate (90Hz is PiCam limit on old firmware) tests = 10 timings = 0 i = 0 while (True): # Capture frame-by-frame start = time.time() ret, frame = cap.read() if not ret: print("something wrong") else: print("got frame") i += 1 if i == tests: break time.sleep(random.random()*3) cap.release()

[ "fgolemo@gmail.com" ]

fgolemo@gmail.com

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/Greedy/BOJ_12915.py

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no_license

enriver/algorithm_python

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refs/heads/master

2023-09-03T23:28:23.975609

2021-10-29T09:25:32

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# 대회 개최 - S2 import sys if __name__=="__main__": E,EM,M,MH,H=map(int,sys.stdin.readline().split()) count=0 while True: check=[False]*3 if E>0: E-=1 check[0]=True else: if EM>0: EM-=1 check[0]=True else: break if M>0: M-=1 check[1]=True else: if EM>0 and MH>0: if EM>=MH: EM-=1 else: MH-=1 elif EM==0 and MH>0: MH-=1 elif EM>0 and MH==0: EM-=1 else: break check[1]=True if H>0: H-=1 check[2]=True else: if MH>0: MH-=1 check[2]=True else: break if False in check: break count+=1 print(count)

[ "riverkeh@naver.com" ]

riverkeh@naver.com

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/src/book/api/serializers/bookrent.py

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2022-12-18T09:56:36.077545

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from book.models import BookRent from rest_framework import serializers class BookRentSerializer(serializers.ModelSerializer): class Meta: model = BookRent fields = ( 'id', 'price', 'price_period', 'days_period', 'user_id', 'book', 'created', 'end', 'status', 'days_period_initial', ) extra_kwargs = { 'price': {'read_only': True}, 'price_period': {'read_only': True}, 'days_period': {'read_only': True}, 'book': {'required': True}, 'created': {'read_only': True}, 'end': {'read_only': True}, 'days_period_initial': {'read_only': True}, }

[ "dmytro.kaminskyi92@gmail.com" ]

dmytro.kaminskyi92@gmail.com

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# -*- coding: utf-8 -*- """ Copyright (C) 2017 Sebastian Golasch (plugin.video.netflix) Copyright (C) 2018 Caphm (original implementation module) Helper functions for file operations SPDX-License-Identifier: MIT See LICENSES/MIT.md for more information. """ import os import xml.etree.ElementTree as ET import xbmc import xbmcvfs from resources.lib.globals import G from .misc_utils import build_url def check_folder_path(path): """ Check if folder path ends with path delimiter If not correct it (makes sure xbmcvfs.exists is working correct) """ end = '' if '/' in path and not path.endswith('/'): end = '/' if '\\' in path and not path.endswith('\\'): end = '\\' return path + end def folder_exists(path): """ Checks if a given path exists :param path: The path :return: True if exists """ return xbmcvfs.exists(check_folder_path(path)) def create_folder(path): """ Create a folder if not exists :param path: The path """ if not folder_exists(path): xbmcvfs.mkdirs(path) def file_exists(file_path): """ Checks if a given file exists :param file_path: File path to check :return: True if exists """ return xbmcvfs.exists(xbmcvfs.translatePath(file_path)) def copy_file(from_path, to_path): """ Copy a file to destination :param from_path: File path to copy :param to_path: Destination file path :return: True if copied """ try: return xbmcvfs.copy(xbmcvfs.translatePath(from_path), xbmcvfs.translatePath(to_path)) finally: pass def save_file_def(filename, content, mode='wb'): """ Saves the given content under given filename, in the default add-on data folder :param filename: The filename :param content: The content of the file :param mode: optional mode options """ save_file(os.path.join(G.DATA_PATH, filename), content, mode) def save_file(file_path, content, mode='wb'): """ Saves the given content under given filename path :param file_path: The filename path :param content: The content of the file :param mode: optional mode options """ with xbmcvfs.File(xbmcvfs.translatePath(file_path), mode) as file_handle: file_handle.write(bytearray(content)) def load_file_def(filename, mode='rb'): """ Loads the content of a given filename, from the default add-on data folder :param filename: The file to load :param mode: optional mode options :return: The content of the file """ return load_file(os.path.join(G.DATA_PATH, filename), mode) def load_file(file_path, mode='rb'): """ Loads the content of a given filename :param file_path: The file path to load :param mode: optional mode options :return: The content of the file """ with xbmcvfs.File(xbmcvfs.translatePath(file_path), mode) as file_handle: return file_handle.readBytes().decode('utf-8') def delete_file_safe(file_path): if xbmcvfs.exists(file_path): try: xbmcvfs.delete(file_path) finally: pass def delete_file(filename): file_path = xbmcvfs.translatePath(os.path.join(G.DATA_PATH, filename)) try: xbmcvfs.delete(file_path) finally: pass def list_dir(path): """ List the contents of a folder :return: The contents of the folder as tuple (directories, files) """ return xbmcvfs.listdir(path) def delete_folder_contents(path, delete_subfolders=False): """ Delete all files in a folder :param path: Path to perform delete contents :param delete_subfolders: If True delete also all subfolders """ directories, files = list_dir(xbmcvfs.translatePath(path)) for filename in files: xbmcvfs.delete(os.path.join(path, filename)) if not delete_subfolders: return for directory in directories: delete_folder_contents(os.path.join(path, directory), True) # Give time because the system performs previous op. otherwise it can't delete the folder xbmc.sleep(80) xbmcvfs.rmdir(os.path.join(path, directory)) def delete_folder(path): """Delete a folder with all his contents""" delete_folder_contents(path, True) # Give time because the system performs previous op. otherwise it can't delete the folder xbmc.sleep(80) xbmcvfs.rmdir(xbmcvfs.translatePath(path)) def write_strm_file(videoid, file_path): """Write a playable URL to a STRM file""" filehandle = xbmcvfs.File(xbmcvfs.translatePath(file_path), 'wb') try: filehandle.write(bytearray(build_url(videoid=videoid, mode=G.MODE_PLAY_STRM).encode('utf-8'))) finally: filehandle.close() def write_nfo_file(nfo_data, file_path): """Write a NFO file""" filehandle = xbmcvfs.File(xbmcvfs.translatePath(file_path), 'wb') try: filehandle.write(bytearray('<?xml version=\'1.0\' encoding=\'UTF-8\'?>'.encode('utf-8'))) filehandle.write(bytearray(ET.tostring(nfo_data, encoding='utf-8', method='xml'))) finally: filehandle.close() def join_folders_paths(*args): """Join multiple folder paths in a safe way""" # Avoid the use of os.path.join, in some cases with special chars like % break the path return xbmcvfs.makeLegalFilename('/'.join(args)) def get_xml_nodes_text(nodelist): """Get the text value of text node list""" rc = [] for node in nodelist: if node.nodeType == node.TEXT_NODE: rc.append(node.data) return ''.join(rc)

[ "gottardo.stefano.83@gmail.com" ]

gottardo.stefano.83@gmail.com

788e6db343a9cecdc688f28d7679566f6d75ae21

db575f3401a5e25494e30d98ec915158dd7e529b

/BIO_Stocks/ACHV.py

54d786c8ecbb6e82a8972b7e44fa20ff5367c587

[]

no_license

andisc/StockWebScraping

b10453295b4b16f065064db6a1e3bbcba0d62bad

41db75e941cfccaa7043a53b0e23ba6e5daa958a

refs/heads/main

2023-08-08T01:33:33.495541

2023-07-22T21:41:08

355,332,230

0

null

UTF-8

Python

false

2,107

py

import requests from lxml import html from bs4 import BeautifulSoup import os from datetime import date, datetime from ValidationTools import validateday from Database_Connections import InsertData, Insert_Logging def main(id_control): try: url = 'http://ir.achievelifesciences.com/news-releases' headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36'} result = requests.get(url, headers=headers) #print(result.content.decode()) html_content = result.content.decode() soup = BeautifulSoup(html_content, 'html.parser') #print(soup) articles = soup.findAll('li', attrs={'class':'wd_item'}) # get first article FIRST_ARTICLE = articles[0] article_date = FIRST_ARTICLE.find('div', attrs={'class':'wd_date'}) article_desc = FIRST_ARTICLE.find('div', attrs={'class':'wd_title'}) v_article_date = article_date.text.lstrip().rstrip() #if the process find any article with the today date istoday, v_art_date = validateday(v_article_date) if (istoday == True): v_ticker = os.path.basename(__file__).replace(".py", "") v_url = article_desc.a.get('href') v_description = article_desc.text.lstrip().rstrip() now = datetime.now() print("URL: " + v_url) print("DESCRIPTION: " + v_description) print("ARTICLE_DATE: " + str(now)) # Insert articles if "https://" in v_url: InsertData(v_ticker, v_description, v_url, v_art_date) else: InsertData(v_ticker, v_description, url, v_art_date) except Exception: error_message = "Entrou na excepção ao tratar " + os.path.basename(__file__) + "..." print(error_message) Insert_Logging(id_control, 'Detail', error_message) pass #InsertData() if __name__ == "__main__": main()

[ "andisc_3@hotmail.com" ]

andisc_3@hotmail.com

18a8fc714c96568c2445ca1875ce8a2ac25eaa47

2612f336d667a087823234daf946f09b40d8ca3d

/python/helpers/typeshed/stdlib/3.5/zipapp.pyi

9fac5a026afff523bc4f6860c2b92dce62e420c9

[ "MIT", "Apache-2.0" ]

permissive

tnorbye/intellij-community

df7f181861fc5c551c02c73df3b00b70ab2dd589

f01cf262fc196bf4dbb99e20cd937dee3705a7b6

refs/heads/master

2021-04-06T06:57:57.974599

2018-03-13T17:37:00

125,079,130

2

0

Apache-2.0

2018-03-13T16:09:41

null

UTF-8

Python

false

363

pyi

# Stubs for zipapp (Python 3.5+) from pathlib import Path from typing import BinaryIO, Optional, Union _Path = Union[str, Path, BinaryIO] class ZipAppError(Exception): ... def create_archive(source: _Path, target: Optional[_Path] = ..., interpreter: Optional[str] = ..., main: Optional[str] = ...) -> None: ... def get_interpreter(archive: _Path) -> str: ...

[ "andrey.vlasovskikh@jetbrains.com" ]

andrey.vlasovskikh@jetbrains.com

873c78875fe1bf5a9557aea8427a692b110ac7a0

e7a56f1f086352a45947a7ab3cecd71828d21f50

/tovp/promotions/migrations/0005_auto_20150302_1323.py

f64b2f62600beeece25c1687f6fc8be5aa6f4fe1

[ "MIT" ]

permissive

nrsimha/tovp

af2df2967a47e43c5378dc52c99652e8242c429b

311bc957c95c294811d737f5df30b0a218d35610

refs/heads/master

2023-05-26T05:50:52.405855

2017-05-10T13:40:59

27,473,790

0

null

UTF-8

Python

false

1,745

py

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('promotions', '0004_auto_20150302_1036'), ] operations = [ migrations.AddField( model_name='goldenbrick', name='brick_status', field=models.CharField(verbose_name='Brick Status', max_length=100, default='need_to_send', choices=[('need_to_send', 'Need to send to DC'), ('name_given', 'Name given to DC'), ('brick_made', 'Brick is made')]), preserve_default=True, ), migrations.AddField( model_name='guruparamparabrick', name='brick_status', field=models.CharField(verbose_name='Brick Status', max_length=100, default='need_to_send', choices=[('need_to_send', 'Need to send to DC'), ('name_given', 'Name given to DC'), ('brick_made', 'Brick is made')]), preserve_default=True, ), migrations.AddField( model_name='nrsimhatile', name='brick_status', field=models.CharField(verbose_name='Brick Status', max_length=100, default='need_to_send', choices=[('need_to_send', 'Need to send to DC'), ('name_given', 'Name given to DC'), ('brick_made', 'Brick is made')]), preserve_default=True, ), migrations.AddField( model_name='radhamadhavabrick', name='brick_status', field=models.CharField(verbose_name='Brick Status', max_length=100, default='need_to_send', choices=[('need_to_send', 'Need to send to DC'), ('name_given', 'Name given to DC'), ('brick_made', 'Brick is made')]), preserve_default=True, ), ]

[ "pnd@mayapurmedia.com" ]

pnd@mayapurmedia.com

354524169b42cadba1eed445e88ac79ae684b416

9ffabcaef668b1c0ec8f9451e2d02b472ca6c61d

/compute/compute_provisioner/compute_provisioner/allocator.py

684862cf43b20da1cdbcc0dc1c61183335c2d3a6

[]

no_license

ESGF/esgf-compute-wps

704ee5940e9cbc7d12ef41e0a724202c69fffc67

82fb3e79f8e43367fa31a6dba7127da4b744a944

refs/heads/devel

2021-07-15T06:52:30.731608

2021-03-11T01:28:40

29,711,838

9

6

null

2020-02-12T18:12:47

2015-01-23T02:09:58

Python

UTF-8

Python

false

3,829

py

import logging import yaml from jinja2 import DebugUndefined from jinja2 import Template from kubernetes import client from kubernetes import config logger = logging.getLogger(__name__) class KubernetesAllocator(object): def __init__(self): config.load_incluster_config() self.core = client.CoreV1Api() self.apps = client.AppsV1Api() self.extensions = client.ExtensionsV1beta1Api() def create_pod(self, namespace, body, **kwargs): return self.core.create_namespaced_pod(namespace, body, **kwargs) def list_pods(self, namespace, label_selector, **kwargs): return self.core.list_namespaced_pod(namespace, label_selector=label_selector, **kwargs) def create_deployment(self, namespace, body, **kwargs): return self.apps.create_namespaced_deployment(namespace, body, **kwargs) def create_service(self, namespace, body, **kwargs): return self.core.create_namespaced_service(namespace, body, **kwargs) def create_ingress(self, namespace, body, **kwargs): return self.extensions.create_namespaced_ingress(namespace, body, **kwargs) def create_config_map(self, namespace, body, **kwargs): return self.core.create_namespaced_config_map(namespace, body, **kwargs) def delete_resources(self, namespace, label_selector, **kwargs): api_mapping = { 'pod': self.core, 'deployment': self.apps, 'service': self.core, 'ingress': self.extensions, 'config_map': self.core, } for name, api in api_mapping.items(): list_name = f'list_namespaced_{name!s}' delete_name = f'delete_namespaced_{name!s}' output = getattr(api, list_name)(namespace, label_selector=label_selector, **kwargs) logger.info(f'Removing {len(output.items)!r} {name!s}') for x in output.items: getattr(api, delete_name)(x.metadata.name, namespace, **kwargs) def create_resources(self, request, namespace, labels, service_account_name, image_pull_secret, **kwargs): for item in request: template = Template(item, undefined=DebugUndefined) config = { 'image_pull_secret': image_pull_secret, 'labels': [f'{x}: {y}' for x, y in labels.items()], } rendered_item = template.render(**config) yaml_data = yaml.safe_load(rendered_item) try: yaml_data['metadata']['labels'].update(labels) except KeyError: yaml_data['metadata'].update({ 'labels': labels }) kind = yaml_data['kind'] logger.info(f'Allocating {kind!r} with labels {yaml_data["metadata"]["labels"]!r}') if kind == 'Pod': yaml_data['spec']['serviceAccountName'] = service_account_name yaml_data['spec']['imagePullSecrets'] = [ {'name': image_pull_secret}, ] self.create_pod(namespace, yaml_data) elif kind == 'Deployment': yaml_data['spec']['template']['spec']['serviceAccountName'] = service_account_name yaml_data['spec']['template']['spec']['imagePullSecrets'] = [ {'name': image_pull_secret}, ] self.create_deployment(namespace, yaml_data) elif kind == 'Service': self.create_service(namespace, yaml_data) elif kind == 'Ingress': self.create_ingress(namespace, yaml_data) elif kind == 'ConfigMap': self.create_config_map(namespace, yaml_data) else: raise Exception('Requested an unsupported resource')

[ "boutte.jason@gmail.com" ]

boutte.jason@gmail.com

670730c7a29ef8f6c8e267f16949943f8b56d7af

d9f3fd0661bcf13416eb0d3d7bfbc545706af3e0

/dev_bot.py

f6d2f13d63f3404838ddeda7016d2663ba7ab7c4

[ "MIT" ]

permissive

jayrav13/njit-events-api

a26edffd145f4820e53933f4555d8b4a4ca601fc

0027c0741601170d4806e45dbf4c08eecfb2cecc

refs/heads/master

2021-01-10T08:59:38.574026

2016-01-30T23:33:56

44,531,107

2

0

null

UTF-8

Python

false

3,984

py

# By Jay Ravaliya # Imports from twython import Twython from secret import consumer_key, consumer_secret, access_token, access_secret from model import Posted, db import requests import json import datetime import random import math import sys # Set up Twitter keys twitter = Twython(consumer_key, consumer_secret, access_token, access_secret) # Set up payload for analytics. payload = { "userid" : "TwitterBot", "device" : "TwitterBot" } # Send post request to API to get data, convert it to JSON right away. r = requests.post("http://eventsatnjit.jayravaliya.com/api/v0.2/events", json=payload).json() # Retrive current time. currenttime = datetime.datetime.now() # Total number of events, counted. total = 0 # At 8:00 AM, post morning tweet. if(currenttime.hour == 8): # Count total elements that are taking place today. Post it. # Else, post that there are no events going on. for elem in r["response"]: if elem["datetime"]["is_today"] == True: total = total + 1 if total > 0: tweet = "There are " + str(total) + " events taking place today! Be sure to stop by and check some out! via @EventsAtNJIT" else: tweet = "Ah - no events going on today! Be sure to check back tomorrow to see what's going on!" print(tweet) twitter.update_status(status=tweet) # If posting at night, post # of events going on tomorrow. elif(currenttime.hour == 22): tweet = "That's all for today! Visit back tomorrow to learn about the awesome events taking place on campus! via @EventsAtNJIT" twitter.update_status(status=tweet) # Posting every two hours: else: # Starting text. starters = [ "Awesome event coming up: ", "Did you know? ", "Check this out: ", "Stop by: " ] # Categories to include. categories = [ "Intramurals & Recreation", "Reception, Banquet, Party", "Lecture, Seminar, Workshop", "Conference, Fair", "Other" ] # Count the number of events. Exit if there are no events left. num_events = 0 def today_events(): global num_events for elem in r["response"]: if (elem["datetime"]["is_today"] == True or elem["datetime"]["is_tomorrow"]): num_events = num_events + 1 today_events() if (num_events == 0): print "NO EVENTS" sys.exit() # Input JSON element - ouput validity. def valid_event(elem): if (elem["datetime"]["is_today"] == True or elem["datetime"]["is_tomorrow"] == True): if (elem["datetime"]["multiday"] == False and (elem["datetime"]["currently_happening"] == False or elem["datetime"]["starting_now"] == True)): return True return False # Input JSON element - output tweet. def generate_tweet(elem): print("Element Id: " + str(elem["id"])) # Random intro, unless happening now. if elem["datetime"]["currently_happening"] == True: intro = "Happening Now: " else: intro = starters[int(math.floor(random.random() * len(starters)))] # Add basic data. tweet = "\"" + elem["name"] + "\"" + " hosted by " + elem["organization"] + " " if elem["datetime"]["is_today"] == True: tweet = tweet + "starts today " elif elem["datetime"]["is_tomorrow"] == True: tweet = tweet + "starts tomorrow " elif elem["datetime"]["currently_happening"] == True: tweet = tweet + "started " else: tweet = tweet + "starts on " + elem["datetime"]["start"]["common_formats"]["date"] + " " # Finalize tweet, return. tweet = tweet + "at " + elem["datetime"]["start"]["common_formats"]["time"] + " in " + elem["location"] + "." if len(intro + tweet) <= 140: return intro + tweet elif len(tweet) <= 140: return tweet else: return None # Loop through events, tweet! for elem in r["response"]: if valid_event(elem) == True: try: tweet = generate_tweet(elem) p = Posted.query.filter_by(event_id=elem["id"]).first() if tweet != None and p == None: print tweet + " / " + str(len(tweet)) p = Posted(elem["id"]) db.session.add(p) db.session.commit() twitter.update_status(status=tweet) break except: pass

[ "jayrav13@gmail.com" ]

jayrav13@gmail.com

cd157bf03647a3a30c7fc5d919c7b066c4747813

43f9cfd3761171ab59742d7a5b768b73e81eb973

/lang/femtocode/thirdparty/meta/asttools/visitors/copy_tree.py

09fe4891fcb2028d07ab600999f95c448f4c1035

[ "Apache-2.0", "BSD-2-Clause" ]

permissive

diana-hep/femtocode

2980c4d39f941506d345651ee56ddb00a63320d5

bfde538a99f35345eec8b5a0db670f29f83e1cc5

refs/heads/master

2021-01-19T12:13:04.303112

2017-08-15T05:42:49

69,881,392

26

0

null

UTF-8

Python

false

1,255

py

''' Created on Dec 12, 2011 @author: sean ''' from . import Visitor import ast #FIXME: add tests class CopyVisitor(Visitor): ''' Copy only ast nodes and lists ''' def visitDefault(self, node): Node = type(node) new_node = Node() for _field in Node._fields: if hasattr(node, _field): field = getattr(node, _field) if isinstance(field, (list, tuple)): new_list = [] for item in field: if isinstance(item, ast.AST): new_item = self.visit(item) else: new_item = item new_list.append(new_item) setattr(new_node, _field, new_list) elif isinstance(field, ast.AST): setattr(new_node, _field, self.visit(field)) else: setattr(new_node, _field, field) for _attr in node._attributes: if hasattr(node, _attr): setattr(new_node, _attr, getattr(node, _attr)) return new_node def copy_node(node): return CopyVisitor().visit(node)

[ "jpivarski@gmail.com" ]

jpivarski@gmail.com

a327de873746d6c5b6eedee78c3955284df9f7b7

14913a0fb7e1d17318a55a12f5a181dddad3c328

/07.garosero1.py

55135979754b8aa2ae2388e221ad3cecc621ca44

[]

no_license

Jesuisjavert/Algorithm

6571836ec23ac3036565738c2bee94f416595f22

730549d19e66e20b3474a235a600958a8e036a0e

refs/heads/master

2023-02-16T06:34:50.984529

2020-09-25T09:40:30

330,849,371

0

null

UTF-8

Python

false

449

py

for test_case in range(0, 10): T = int(input()) N = 100 arr = [list(map(int, input().split())) for i in range(N)] MAX = 0 eorkrtjs1 = eorkrtjs2 = 0 garo = 0 sero = 0 for i in range(N): eorkrtjs1 += arr[i][i] eorkrtjs2 += arr[i][99-i] for j in range(N): garo += arr[i][j] sero += arr[j][i] MAX = max(garo, sero, eorkrtjs1, eorkrtjs2) print(f'{T},{Max}')

[ "jesuisjavert@gmail.com" ]

jesuisjavert@gmail.com

08fb7d4a8b60f9656534c8c19aa38ab3d8a6a448

abeec076f89231c4dd589e84def8301e653d6e20

/orders/migrations/0009_remove_order_cook.py

f119d17a90f1126e4fe5228f032a2bb623ef00a1

[]

no_license

gibil5/pcm_restaurant

1cde6ee2780d3aa39dbc26dd9583f8465a1ff13a

a56ec01c533ed2b6e198de9813f9518a3eca2d14

refs/heads/master

2020-08-29T20:10:13.606229

2019-12-01T19:48:47

218,160,478

0

null

UTF-8

Python

false

324

py

# Generated by Django 2.2.6 on 2019-11-15 20:09 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('orders', '0008_auto_20191115_1359'), ] operations = [ migrations.RemoveField( model_name='order', name='cook', ), ]

[ "jrevilla55@gmail.com" ]

jrevilla55@gmail.com

a6eddbcfb2a9ca0bb96202a98f76663c6b28ed92

88de1855cddc294bf7e23e000738b97e2ce8fe5d

/peek_core_user/server/UserImportApiABC.py

93c4a9b1cb214e31ccc4ded908c89d4457828b92

[]

no_license

Synerty/peek-core-user

cea121a5bc37552055eff7d9c25e621531435631

89c9b782a9f5c7ae042a1498062c30cc07efa8c8

refs/heads/master

2020-03-18T17:07:18.765974

2020-02-24T03:32:40

135,007,619

0

null

UTF-8

Python

false

1,509

py

from abc import ABCMeta, abstractmethod from twisted.internet.defer import Deferred class UserImportApiABC(metaclass=ABCMeta): @abstractmethod def importInternalUsers(self, importHash: str, usersEncodedPayload: bytes) -> Deferred: """ Import Internal Users Add, replace and remove users in the internal DB :param importHash: A string representing this group of items to import :param usersEncodedPayload: A List[ImportInternalUserTuple] to import, wrapped in a serialised payload. Wrap the disps list with :: dispsVortexMsg = Payload(tuples=users).toVortexMsg() Calling this method with no tuples will delete all items with this importHash :return: A deferred that fires when the users are loaded """ @abstractmethod def importInternalGroups(self, importHash: str, groupsEncodedPayload: bytes) -> Deferred: """ Import Internal Groups Add, replace and remove users in the internal DB :param importHash: A string representing this group of items to import :param groupsEncodedPayload: A List[ImportInternalGroupTuple] to import, wrapped in a serialised payload. Wrap the disps list with :: dispsVortexMsg = Payload(tuples=groups).toVortexMsg() Calling this method with no tuples will delete all items with this importHash :return: A deferred that fires when the groups are loaded """

[ "jarrod.chesney@synerty.com" ]

jarrod.chesney@synerty.com

80b4417afbb29d716ffbdac552a7a325410ed080

25c531d2acc0218cc8fc3e275db4c2042dbc3a96

/exam2/min_max_valid.py

71429f561fd5401c5e2b1dd5c3842876b9877c95

[]

no_license

anaswara-97/python_project

230242287886479ec134cb48cdfbacb70e9c9228

efd0156d0c67b9686f52638b8b3264eb6bdef23d

refs/heads/master

2023-08-16T16:16:11.063927

2021-09-20T14:24:50

402,699,840

0

null

UTF-8

Python

false

156

py

import re x=input("enter string: ") n='[A-Z]\w[a-zA-Z0-9][A-Z]{5,10}$' m=re.fullmatch(n,x) if m is not None: print("valid") else: print("invalid")

[ "warrior123@gmail.com" ]

warrior123@gmail.com

dc5c0a4ef33f5f4687f9d3e60f82b0952c5ad268

f576f0ea3725d54bd2551883901b25b863fe6688

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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from azure.identity import DefaultAzureCredential from azure.mgmt.managednetworkfabric import ManagedNetworkFabricMgmtClient """ # PREREQUISITES pip install azure-identity pip install azure-mgmt-managednetworkfabric # USAGE python internet_gateways_list_by_subscription_maximum_set_gen.py Before run the sample, please set the values of the client ID, tenant ID and client secret of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET. For more info about how to get the value, please see: https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal """ def main(): client = ManagedNetworkFabricMgmtClient( credential=DefaultAzureCredential(), subscription_id="1234ABCD-0A1B-1234-5678-123456ABCDEF", ) response = client.internet_gateways.list_by_subscription() for item in response: print(item) # x-ms-original-file: specification/managednetworkfabric/resource-manager/Microsoft.ManagedNetworkFabric/stable/2023-06-15/examples/InternetGateways_ListBySubscription_MaximumSet_Gen.json if __name__ == "__main__": main()

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#!usr/bin/env python #coding: utf-8 from django.conf.urls import patterns from django.conf.urls import url urlpatterns = patterns('', url(r'^$', 'common.views.index',name="index"), url(r'^index/$', 'common.views.index',name="common_index"), url(r'^login/$', 'common.views.login', name="common_login"), url(r'^logout/$', 'common.views.logout', name="common_logout"), url(r'^success/$', 'common.views.success',name="common_success"), url(r'^nav_index/$', 'common.views.nav_index', name="common_index"), url(r'^nav_resource/$', 'common.views.nav_resource', name="common_resource"), url(r'^nav_log/$', 'common.views.nav_log', name="common_log"), url(r'^nav_ippool/$', 'common.views.nav_ippool', name="common_ippool"), url(r'^nav_user/$', 'common.views.nav_user', name="common_user"), url(r'^nav_authority/$', 'common.views.nav_authority', name="common_authority"), url(r'^main/$', 'common.views.main', name="common_main"), )

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"""Script to randomly pick certain number of text from C4 dataset. """ import argparse import time import tensorflow as tf import tensorflow_datasets as tfds parser = argparse.ArgumentParser( description="Randomly pick text from C4 dataset.") parser.add_argument( "--data_dir", type=str, default="", help="Path to tfds directory, which contains C4/../x.y.z.") parser.add_argument( "--language", type=str, default="en", help="Language of dataset.") parser.add_argument( "--version", type=str, default="3.0.1", help="Version of dataset.") parser.add_argument( "--split", type=str, default="train", help="Split of dataset.") parser.add_argument( "--num_examples", type=int, default=40000000, help="Number of examples to pick from dataset.") parser.add_argument( "--output_text_file", type=str, default="", help="Path for output text file.") args = parser.parse_args() if __name__ == '__main__': tic = time.time() ds_name = "c4/" + args.language + ":" + args.version ds = tfds.load( ds_name, split=args.split, shuffle_files=True, data_dir=args.data_dir) num_examples = 0 max_text_length = 0 total_text_length = 0 num_lines = 0 max_line_length = 0 total_line_length = 0 fout = open(args.output_text_file, "wb") for example in ds: text = example["text"].numpy() length = len(text) if length > max_text_length: max_text_length = length total_text_length += length fout.write(text) fout.write(b"\n\n") num_examples += 1 if (num_examples % 10000) == 0: print(num_examples) lines = text.split(b"\n") for line in lines: line_length = len(line) if line_length > max_line_length: max_line_length = line_length total_line_length += line_length num_lines += 1 if num_examples >= args.num_examples: break fout.close() print( "num_examples = ", num_examples, "max_length = ", max_text_length, "avg_length = ", total_text_length / num_examples) print( "num_lines = ", num_lines, "max_length = ", max_line_length, "avg_length = ", total_line_length / num_lines)

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bpkgoud/pulumi-azure-native

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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from ... import _utilities from . import outputs __all__ = [ 'ListManagedClusterAdminCredentialsResult', 'AwaitableListManagedClusterAdminCredentialsResult', 'list_managed_cluster_admin_credentials', 'list_managed_cluster_admin_credentials_output', ] @pulumi.output_type class ListManagedClusterAdminCredentialsResult: """ The list of credential result response. """ def __init__(__self__, kubeconfigs=None): if kubeconfigs and not isinstance(kubeconfigs, list): raise TypeError("Expected argument 'kubeconfigs' to be a list") pulumi.set(__self__, "kubeconfigs", kubeconfigs) @property @pulumi.getter def kubeconfigs(self) -> Sequence['outputs.CredentialResultResponse']: """ Base64-encoded Kubernetes configuration file. """ return pulumi.get(self, "kubeconfigs") class AwaitableListManagedClusterAdminCredentialsResult(ListManagedClusterAdminCredentialsResult): # pylint: disable=using-constant-test def __await__(self): if False: yield self return ListManagedClusterAdminCredentialsResult( kubeconfigs=self.kubeconfigs) def list_managed_cluster_admin_credentials(resource_group_name: Optional[str] = None, resource_name: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableListManagedClusterAdminCredentialsResult: """ The list of credential result response. :param str resource_group_name: The name of the resource group. :param str resource_name: The name of the managed cluster resource. """ __args__ = dict() __args__['resourceGroupName'] = resource_group_name __args__['resourceName'] = resource_name if opts is None: opts = pulumi.InvokeOptions() if opts.version is None: opts.version = _utilities.get_version() __ret__ = pulumi.runtime.invoke('azure-native:containerservice/v20200101:listManagedClusterAdminCredentials', __args__, opts=opts, typ=ListManagedClusterAdminCredentialsResult).value return AwaitableListManagedClusterAdminCredentialsResult( kubeconfigs=__ret__.kubeconfigs) @_utilities.lift_output_func(list_managed_cluster_admin_credentials) def list_managed_cluster_admin_credentials_output(resource_group_name: Optional[pulumi.Input[str]] = None, resource_name: Optional[pulumi.Input[str]] = None, opts: Optional[pulumi.InvokeOptions] = None) -> pulumi.Output[ListManagedClusterAdminCredentialsResult]: """ The list of credential result response. :param str resource_group_name: The name of the resource group. :param str resource_name: The name of the managed cluster resource. """ ...

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/server/.history/server_20200307204844.py

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dobreandrei1/legal

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from pathlib import Path from flask import Flask, render_template, request, send_file, send_from_directory, safe_join, abort, current_app # from werkzeug import secure_filename import pandas as pd import os import time import json from flask_cors import CORS from haikunator import Haikunator import unidecode import PyPDF2 import unidecode haikunator = Haikunator() app = Flask(__name__) CORS(app) applicationVersion = 0 @app.route('/upload') def upload_file(): return render_template('upload.html') @app.route('/api/titles', methods = ['GET', 'POST']) def get_titles(): if request.method == 'POST': f = request.files['file'] filename = request.form['filename'] # TODO: maybe check if file alreay exists and not save multipletime # - get list of all files # - if filename variable is a substr of any file name in folder: compare their contents # - if match don`t save file again but use that one name = filename + '.pdf' if Path(name).exists(): name = filename + '.pdf' f.save(name) pdfFileObject = open('clauze.pdf', 'rb') pdfReader = PyPDF2.PdfFileReader(pdfFileObject) pages = pdfReader.numPages pageObject = pdfReader.getPage(0) print(unidecode.unidecode(pageObject.extractText())) pdfFileObject1 = open('clauze.pdf', 'rb') pdfReader1 = PyPDF2.PdfFileReader(pdfFileObject1) pages1 = pdfReader1.numPages pageObject1 = pdfReader1.getPage(0) print(unidecode.unidecode(pageObject.extractText())) return 1 if __name__ == '__main__': app.run(debug = False, host='0.0.0.0')

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Takuma-Ikeda/other-LeetCode

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from typing import List class Solution: def decompressRLElist(self, nums: List[int]) -> List[int]: result = [] # 偶数番目 freq = nums[0::2] # 奇数番目 val = nums[1::2] for i in range(len(freq)): while 0 != freq[i]: result += [val[i]] freq[i] -= 1 return result # 模範解答 # https://leetcode.com/problems/decompress-run-length-encoded-list/discuss/478426/Python-3-(one-line)-(beats-100) ''' class Solution: def decompressRLElist(self, nums: List[int]) -> List[int]: l, result = len(nums), [] # range ※ 引数 3 つバージョン # 第一引数: start # 題ニ引数: stop # 第三引数: step (オプション) 数字を刻み方を指定できる for i in range(0, l, 2): # 繰り返し回数 * [値] result.extend(nums[i] * [nums[i + 1]]) return result '''

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el.programdear@gmail.com

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vochong/project-euler

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def euler39(): """ If p is the perimeter of a right angle triangle with integral length sides, {a,b,c}, there are exactly three solutions for p = 120. {20,48,52}, {24,45,51}, {30,40,50} For which value of p <= 1000, is the number of solutions maximised? """ count = [0] * 1001 for a in range(1, 333): for b in range(a+1, 500): c = (a**2 + b**2) ** 0.5 p = a + b + int(c) if int(c) != c: continue if p > 1000: break count[p] += 1 return count.index(max(count)) if __name__ == "__main__": print euler39()

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import numpy as np import linesearch def nonLinCG(func, grad, initialX, nIter): x = initialX r0 = -grad(x) d0 = r0 gradLen = r0.shape[0] curSteps = 0 for iter in xrange(nIter): curSteps += 1 #alpha = linesearch.quadLineSearchIter( #5, 0.00001, 0.0001, x, d0, grad) alpha = linesearch.quadLineSearch(0.000001, x, -r0, d0, grad) x = x + alpha * d0 r1 = -grad(x) beta = r1.dot(r1 - r0)/(r0.dot(r0)) if beta < 0: beta = 0 elif curSteps > gradLen: curSteps = 0 beta = 0 d0 = r1 + beta * d0 r0 = r1 err = func(x) print iter, 'err', err if err < 0.00001: break return x def nonLinCGSeq(func, grad, initialX, nIter): x = initialX xs = [x] errs = [func(x)] r0 = -grad(x) d0 = r0 gradLen = r0.shape[0] curSteps = 0 for iter in xrange(nIter): curSteps += 1 #alpha = linesearch.quadLineSearchIter( #5, 0.00001, 0.0001, x, d0, grad) alpha = linesearch.quadLineSearch(0.0001, x, -r0, d0, grad) x = x + alpha * d0 r1 = -grad(x) beta = r1.dot(r1 - r0)/(r0.dot(r0)) if beta < 0: beta = 0 elif curSteps > gradLen: curSteps = 0 beta = 0 d0 = r1 + beta * d0 r0 = r1 err = func(x) xs.append(x) errs.append(err) print iter, 'err', err if err < 0.00001: break return np.array(xs), np.array(errs) if __name__ == '__main__': from scipy.optimize import rosen, rosen_der, minimize #import plot_rosen # print nonLinCG( #rosen, #rosen_der, #np.array([-0.1, -1.0]), #50) # xss, zs = nonLinCGSeq( #rosen, #rosen_der, #np.array([-2.1, 1.0]), #50) #xs, ys = xss[:, 0], xss[:, 1] #plot_rosen.plotRosenbrock([xs, ys, zs])

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from .base import CLM from .fitter import GradientDescentCLMFitter from .algorithm import ActiveShapeModel, RegularisedLandmarkMeanShift from .expert import (CorrelationFilterExpertEnsemble, FcnFilterExpertEnsemble, IncrementalCorrelationFilterThinWrapper)

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# MIT LICENSE # # Copyright 1997 - 2019 by IXIA Keysight # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify, merge, publish, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. from ixnetwork_restpy.base import Base from ixnetwork_restpy.files import Files class LearnedRoute(Base): """The LearnedRoute class encapsulates a system managed learnedRoute node in the ixnetwork hierarchy. An instance of the class can be obtained by accessing the LearnedRoute property from a parent instance. The internal properties list will be empty when the property is accessed and is populated from the server by using the find method. """ _SDM_NAME = 'learnedRoute' def __init__(self, parent): super(LearnedRoute, self).__init__(parent) @property def AsPath(self): """Indicates the local IP address of the BGP router. Returns: str """ return self._get_attribute('asPath') @property def BlockOffset(self): """The Label Block Offset (VBO) is the value used to help define this specific label block uniquely-as a subset of all of the possible labels. Returns: number """ return self._get_attribute('blockOffset') @property def BlockSize(self): """The size of the label block, in bytes. Returns: number """ return self._get_attribute('blockSize') @property def ControlWordEnabled(self): """Indicates if the label uses a control word. Returns: bool """ return self._get_attribute('controlWordEnabled') @property def IpPrefix(self): """The route IP address prefix. Returns: str """ return self._get_attribute('ipPrefix') @property def LabelBase(self): """The first label in the learned information. Returns: number """ return self._get_attribute('labelBase') @property def LocalPreference(self): """Indicates the value of the local preference attribute. Returns: number """ return self._get_attribute('localPreference') @property def MaxLabel(self): """The last label to use. Returns: number """ return self._get_attribute('maxLabel') @property def MultiExitDiscriminator(self): """A metric field of the route file. Returns: number """ return self._get_attribute('multiExitDiscriminator') @property def Neighbor(self): """The local IP address for this Ixia-emulated BGP neighbor/peer. Returns: str """ return self._get_attribute('neighbor') @property def NextHop(self): """The next hop on the path to the destination network in the learned route. Returns: str """ return self._get_attribute('nextHop') @property def OriginType(self): """An indication of where the route entry originated. Returns: str """ return self._get_attribute('originType') @property def PrefixLength(self): """The prefix length of the route. Returns: number """ return self._get_attribute('prefixLength') @property def RouteDistinguisher(self): """The route distinguisher for the route, for use with IPv4 and IPv6 MPLS VPN address types. Returns: str """ return self._get_attribute('routeDistinguisher') @property def SeqDeliveryEnabled(self): """Indicates if sequencial delivery is enabled. Returns: bool """ return self._get_attribute('seqDeliveryEnabled') @property def SiteId(self): """The site ID. Returns: number """ return self._get_attribute('siteId') def find(self, AsPath=None, BlockOffset=None, BlockSize=None, ControlWordEnabled=None, IpPrefix=None, LabelBase=None, LocalPreference=None, MaxLabel=None, MultiExitDiscriminator=None, Neighbor=None, NextHop=None, OriginType=None, PrefixLength=None, RouteDistinguisher=None, SeqDeliveryEnabled=None, SiteId=None): """Finds and retrieves learnedRoute data from the server. All named parameters support regex and can be used to selectively retrieve learnedRoute data from the server. By default the find method takes no parameters and will retrieve all learnedRoute data from the server. Args: AsPath (str): Indicates the local IP address of the BGP router. BlockOffset (number): The Label Block Offset (VBO) is the value used to help define this specific label block uniquely-as a subset of all of the possible labels. BlockSize (number): The size of the label block, in bytes. ControlWordEnabled (bool): Indicates if the label uses a control word. IpPrefix (str): The route IP address prefix. LabelBase (number): The first label in the learned information. LocalPreference (number): Indicates the value of the local preference attribute. MaxLabel (number): The last label to use. MultiExitDiscriminator (number): A metric field of the route file. Neighbor (str): The local IP address for this Ixia-emulated BGP neighbor/peer. NextHop (str): The next hop on the path to the destination network in the learned route. OriginType (str): An indication of where the route entry originated. PrefixLength (number): The prefix length of the route. RouteDistinguisher (str): The route distinguisher for the route, for use with IPv4 and IPv6 MPLS VPN address types. SeqDeliveryEnabled (bool): Indicates if sequencial delivery is enabled. SiteId (number): The site ID. Returns: self: This instance with matching learnedRoute data retrieved from the server available through an iterator or index Raises: ServerError: The server has encountered an uncategorized error condition """ return self._select(locals()) def read(self, href): """Retrieves a single instance of learnedRoute data from the server. Args: href (str): An href to the instance to be retrieved Returns: self: This instance with the learnedRoute data from the server available through an iterator or index Raises: NotFoundError: The requested resource does not exist on the server ServerError: The server has encountered an uncategorized error condition """ return self._read(href)

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BSD-3-Clause

2019-05-08T21:42:05

null

UTF-8

Python

false

3,855

py

import ocdskingfisher.cli.commands.base import ocdskingfisher.sources_util class RunCLICommand(ocdskingfisher.cli.commands.base.CLICommand): command = 'run' def __init__(self, config=None): self.config = config self.sources = ocdskingfisher.sources_util.gather_sources() def configure_subparser(self, subparser): subparser.add_argument("source", help="run one or more sources", nargs="*") subparser.add_argument("--all", help="run all sources", action="store_true") subparser.add_argument("--sample", help="Run sample only", action="store_true") subparser.add_argument("--dataversion", help="Specify a data version to resume") subparser.add_argument("--newversion", help="Forces the creation of a new data version (If you don't specify this or " + "--dataversion, the latest version will be used. If there are no versions, a new one will be created.)", action="store_true") subparser.add_argument("--note", help="Specify a note to save") for source_id, source_class in self.sources.items(): for argument_definition in source_class.argument_definitions: subparser.add_argument('--' + argument_definition['name'], help=argument_definition['help']) def run_command(self, args): run = [] if args.all and args.source: print("You need to either specify a source or use --all flag, not both.") quit(-1) if args.all: for source_id, source_class in self.sources.items(): run.append({'id': source_id, 'source_class': source_class}) elif args.source: for selected_source in args.source: if selected_source in self.sources: run.append({'id': selected_source, 'source_class': self.sources[selected_source]}) else: print("We can not find a source that you requested! You requested: %s" % selected_source) quit(-1) if not run: print("You have not specified anything to run! Try listing your sources names or flag --all") print("You can run:") for source_id, source_info in sorted(self.sources.items()): print(" - %s" % source_id) quit(-1) remove_dir = False sample_mode = args.sample data_version = args.dataversion new_version = args.newversion if args.verbose: print("We will run: ") for sourceInfo in run: print(" - %s" % sourceInfo['id']) if sample_mode: print("Sample mode is on!") else: print("Sample mode is off.") for source_info in run: instance = source_info['source_class'](self.config.data_dir, remove_dir=remove_dir, sample=sample_mode, data_version=data_version, new_version=new_version, config=self.config, note=args.note, ) instance.set_arguments(args) if args.verbose: print("Now running: %s (Output Dir: %s, Data Version: %s)" % (source_info['id'], instance.output_directory, instance.data_version)) if args.verbose: print(" - gathering ...") instance.run_gather() if args.verbose: print(" - fetching ...") instance.run_fetch()

[ "james.baster@opendataservices.coop" ]

james.baster@opendataservices.coop

a881e9229b13b365c7d06bed9b0336d131436f71

8b1aa2e61f1b41b8f75a0e94aa5f53fc801dc357

/Python/maximum-distance-in-arrays.py

4a24c82f43ddecd8279b927fc09b57c4b8d9a723

[ "MIT" ]

permissive

aditya-AI/LeetCode

539cae41f8b494ed39bec0a10c561f17c40dad38

0fe4a3c3a1d31230c9b5c931ff1e33584f1ccd4e

refs/heads/master

2021-01-02T08:24:36.970321

2017-07-31T13:56:23

99,005,326

5

1

null

2017-08-01T13:38:32

2017-08-01T13:38:31

null

UTF-8

Python

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1,328

py

# Time: O(n) # Space: O(1) # Given m arrays, and each array is sorted in ascending order. # Now you can pick up two integers from two different arrays (each array picks one) # and calculate the distance. # We define the distance between two integers a and b to be their absolute difference |a-b|. # Your task is to find the maximum distance. # # Example 1: # Input: # [[1,2,3], # [4,5], # [1,2,3]] # Output: 4 # Explanation: # One way to reach the maximum distance 4 is to pick 1 in the first or third array # and pick 5 in the second array. # Note: # Each given array will have at least 1 number. There will be at least two non-empty arrays. # The total number of the integers in all the m arrays will be in the range of [2, 10000]. # The integers in the m arrays will be in the range of [-10000, 10000]. class Solution(object): def maxDistance(self, arrays): """ :type arrays: List[List[int]] :rtype: int """ result, min_val, max_val = 0, arrays[0][0], arrays[0][-1] for i in xrange(1, len(arrays)): result = max(result, \ max(max_val - arrays[i][0], \ arrays[i][-1] - min_val)) min_val = min(min_val, arrays[i][0]) max_val = max(max_val, arrays[i][-1]) return result

[ "kamyu104@gmail.com" ]

kamyu104@gmail.com