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

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import turtle as t t.setpos(0,0) t.circle(50) t.penup() t.setpos(-50,50) t.pendown() t.fd(100) t.penup() t.rt(90) t.setpos(0,100) t.pendown() t.fd(100) t.penup() t.setpos(0,-50) t.lt(90) t.pendown() t.circle(100)

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# Generated by Django 2.2.4 on 2019-08-19 09:31 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('chat', '0002_delete_message'), ] operations = [ migrations.CreateModel( name='Message', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('content', models.TextField()), ('timestamp', models.DateTimeField(auto_now_add=True)), ('author', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), ]

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#!/usr/bin/python from core_tool import * def Help(): return '''Test: follow a q_traj that we experienced a failure. Usage: test.follow1''' def Run(t,*args): if not t.robot.Is('Baxter'): CPrint(4,'This test is only for Baxter.') return q_traj= [ [-1.0544096854806089, -0.2776862141411402, 0.28087579936236179, 1.6743394798167504, -0.56010443409106647, -1.4960295455121526, 0.57304766831757548], [-1.0159048510309103, -0.35670424794068467, 0.33155411397969409, 1.8633858091147795, -0.47760512948645528, -1.5669787327781961, 0.42943210292684869], [-0.96476264324992855, -0.42311836836398564, 0.39891331930441265, 2.0439506789702975, -0.37623150979886999, -1.6560476331050802, 0.28551453075495919], [-0.92135636878025318, -0.46074409246091941, 0.45219267225159882, 2.1723939241120336, -0.29270704439420275, -1.7386809973087964, 0.17859944748797052], [-0.91656936668207734, -0.46815040865258956, 0.44552228082284107, 2.23785467540214, -0.27927621904754196, -1.7900609544614621, 0.13306757513154097], [-0.93221128726280056, -0.46074694640818792, 0.4028452571883796, 2.2804654161510274, -0.30677314754121038, -1.8313667753638549, 0.11292969674597057], [-0.95616162214784528, -0.4438852029022185, 0.3410417135902617, 2.3111201017741747, -0.35492921493141205, -1.8713039748545086, 0.10151482877769019], [-0.98726375374869657, -0.41888678102704663, 0.26351591185117751, 2.3249457989019198, -0.4190347361664789, -1.9063122558890606, 0.097811529213398987], [-1.0242863194214729, -0.38779126582438822, 0.17653166339142254, 2.3179885163791289, -0.49143987933855837, -1.9329493608376833, 0.1015981943603622], [-1.0656439567205895, -0.35291260947696607, 0.088150274951116991, 2.288431318010566, -0.5628497638992821, -1.9487387446436377, 0.11298602776161597], [-1.1093022995220323, -0.31625308645432337, 0.0060286379659039453, 2.2371535204199069, -0.62494896087120411, -1.9526402401261265, 0.13156378816155415], [-1.1529369448473732, -0.27921815728965166, -0.064511176363831246, 2.1674541197858996, -0.67262675398564087, -1.9448884257954011, 0.15577138596582199], [-1.1941583016955246, -0.2427746643154888, -0.12106907666635845, 2.0842902079877921, -0.70442681842261712, -1.9265182356842492, 0.18293576997005481], [-1.2306277028657173, -0.2078345031326814, -0.16355796294151093, 1.9935418251652242, -0.72147025495074257, -1.8989935296867262, 0.20976421147725308], [-1.2601494641579252, -0.1754772449445727, -0.19278311631736536, 1.8987549292218027, -0.72543267928147837, -1.8618017119766488, 0.2344030341002333], [-1.2820829098828739, -0.140350093340425, -0.20468057608344964, 1.7555429674580416, -0.71194974213929796, -1.7803069844426007, 0.27883255052236938], [-1.2963234838184399, -0.091146422224025386, -0.20502880942036245, 1.5646316591788036, -0.69127656886362843, -1.6637240498207164, 0.33486503311347571], [-1.3040405608865098, -0.027555656757953781, -0.20189327344255442, 1.3558203264485023, -0.67360914409511163, -1.5378054333056337, 0.38594834680744561], [-1.3052683310380491, 0.032722855229927496, -0.19958386393719424, 1.1805017632013304, -0.66021822984803624, -1.4315895338502982, 0.4147167986184731], [-1.2965664001224004, 0.051749212231033355, -0.19847320614447614, 1.1254808297736065, -0.64272551631330899, -1.386163254253725, 0.39388220133306295]] t_traj= [1.779648830049163, 3.2565732776900154, 4.1970153081875035, 4.69874673452241, 4.94874673452241, 5.19874673452241, 5.44874673452241, 5.69874673452241, 5.94874673452241, 6.19874673452241, 6.44874673452241, 6.69874673452241, 6.94874673452241, 7.19874673452241, 7.44874673452241, 7.896284115034163, 8.642031412999936, 9.729590437636922, 11.099266713005452, 11.958968797813638] x_traj= [t.robot.FK(q,arm=LEFT).tolist() for q in q_traj] #['s0', 's1', 'e0', 'e1', 'w0', 'w1', 'w2'] #qvel_limits= [0.5, 0.5, 0.8, 0.8, 0.8, 0.8, 0.8] #ORIGINAL #qvel_limits= [0.5, 0.5, 0.6, 0.6, 0.6, 0.6, 0.6] #qvel_limits= [0.1]*7 #LimitQTrajVel(q_start=q_traj[0], q_traj=q_traj, t_traj=t_traj, qvel_limits=qvel_limits) #print 'Modified q_traj:',q_traj #print 'Modified t_traj:',t_traj '''WARNING: In the following code, following the trajectory always fails. This is due to a joint angle, e.g. 'w1' (6th element) in [-1.0242863194214729, -0.38779126582438822, 0.17653166339142254, 2.3179885163791289, -0.49143987933855837, -1.9329493608376833, 0.1015981943603622], exceeds the joint limits. The trajectory was originally generated by IK with KDL, which is the reason of this issue. NOTE: In IK in baxter_pykdl, the joint limits are not taken into account. There was an error from /joint_trajectory_action_server: [ERROR] [WallTime: 1452044236.093979] /joint_trajectory_action_server: Exceeded Error Threshold on left_w1: -0.350152589571 NOTE: This code has been fixed by myself@2016-01-06 With this new baxter_pykdl code, IK fails in FollowXTraj. ''' t.robot.MoveToQ(q_traj[0]) CPrint(1,'Follow the trajectory. Ready?') if not t.AskYesNo(): return #t.robot.FollowQTraj(q_traj, t_traj, arm=LEFT, blocking=True) t.robot.FollowXTraj(x_traj, t_traj, arm=LEFT, blocking=True) #t.robot.MoveToQ(q_traj[0]) #for q,tm in zip(q_traj,t_traj): #CPrint(1,'Move to next point?',q) #if not t.AskYesNo(): break #t.robot.MoveToQ(q)

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"""Dump some monthly data""" from __future__ import print_function import pandas as pd from pandas.io.sql import read_sql from pyiem.util import get_dbconn # East Nish DATA = """102400030603 102400030704 102400030701 102400030702 102400030601 102400030602 102400030303 102400030304 102400030406 102400030502 102400030302 102400030104 102400030301 102400030404 102400030405 102400030102 102400030501 102400030103 102400030206 102400030402 102400030101 102400030401 102400030403 102400030204 102400030205 102400030203 102400030202 102400030201 102400030707 102400030705 102400030708 102400030703 102400030706""" DATA = """102400020402 102400020607 102400020505 102400020703 102400020606 102400020804 102400020803 102400020705 102400020802 102400020704 102400020805 102400020801 102400020303 102400020504 102400020401 102400020503 102400020702 102400020301 102400020605 102400020502 102400020603 102400020302 102400020501 102400020602 102400020105 102400020604 102400020701 102400020106 102400020209 102400020601 102400020104 102400020103 102400020208 102400020207 102400020102 102400020101 102400020203 102400020205 102400020202 102400020206 102400020204 102400020201 102400020806 102400020706""" # Beaver Creek DATA = """071000040901 071000040902 071000040903 071000040904 071000040905 071000040906 071000040907 071000040908 071000040909 071000040910 071000040911""" # North Raccoon DATA = """071000061502 071000061602 071000060605 071000061201 071000060401 071000061501 071000060802 071000060208 071000060403 071000061202 071000060602 071000060207 071000060502 071000061004 071000061402 071000061204 071000060805 071000060201 071000061001 071000060904 071000060702 071000061002 071000060203 071000060205 071000061703 071000060304 071000060601 071000060310 071000061405 071000061203 071000060804 071000060903 071000060604 071000060803 071000060505 071000061701 071000060303 071000061702 071000061301 071000061302 071000061005 071000061401 071000060308 071000061504 071000060306 071000060301 071000061003 071000061102 071000060902 071000060901 071000060603 071000060305 071000060701 071000060503 071000060101 071000060103 071000060204 071000061403 071000061404 071000060206 071000060307 071000061503 071000060309 071000060302 071000060202 071000060801 071000061406 071000060504 071000060501 071000061601 071000061505 071000060402 071000061101 071000060806 071000060102""" HUCS = [x.strip() for x in DATA.split("\n")] def main(): """Go Main Go""" pgconn = get_dbconn('idep', user='nobody') df = read_sql(""" SELECT huc_12, extract(year from valid) as year, sum(avg_loss) * 4.463 as loss_ton_per_acre, sum(avg_delivery) * 4.463 as delivery_ton_per_acre, sum(qc_precip) / 25.4 as precip_inch, sum(avg_runoff) / 25.4 as runoff_inch from results_by_huc12 WHERE scenario = 0 and huc_12 in %s and valid >= '2007-01-01' and valid < '2018-01-01' GROUP by huc_12, year """, pgconn, params=(tuple(HUCS), )) writer = pd.ExcelWriter( 'dep_yearly.xlsx', options={'remove_timezone': True}) df.to_excel(writer, 'Yearly Totals', index=False) gdf = df.groupby('huc_12').mean() gdf[['loss_ton_per_acre', 'delivery_ton_per_acre', 'precip_inch', 'runoff_inch']].to_excel(writer, 'Yearly Averages') format1 = writer.book.add_format({'num_format': '0.00'}) worksheet = writer.sheets['Yearly Totals'] worksheet.set_column('A:A', 18) worksheet.set_column('C:F', 20, format1) worksheet = writer.sheets['Yearly Averages'] worksheet.set_column('A:A', 18) worksheet.set_column('B:E', 20, format1) writer.save() if __name__ == '__main__': main()

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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.contrib import admin from .models import Category, Item, Comment admin.site.register(Category) class CommentInline(admin.TabularInline): model = Comment @admin.register(Item) class ItemAdmin(admin.ModelAdmin): list_display = ['title', 'publish', 'created', 'cat'] list_filter = ['publish', 'cat'] list_search = ['title', 'body'] inlines = [ CommentInline, ]

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# # Skeleton file for the Python "Bob" exercise. # def is_question(what): return what[-1] == '?' def is_yelling(what): return what.isupper() def is_empty(what): return not what.strip() def hey(what): if is_yelling(what): return 'Whoa, chill out!' elif is_empty(what): return 'Fine. Be that way!' elif is_question(what): return 'Sure.' else: return 'Whatever.'

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#!/usr/bin/env python """ This Python script demonstrates the basics of the Monte-Carlo Policy Iteration algorithm with exploring starts """ import numpy as np import pdb from copy import copy def evaluate_policy_montecarlo(policy,p,r,gamma,n): """ computes v^policy and q^policy using monte-carlo evaluation """ # compute the q function as well q = np.zeros((p.shape[1],p.shape[0])) v = np.zeros((p.shape[1],1)) for i in range(q.shape[0]): for j in range(q.shape[1]): returns = [] for trial in range(n): x = i u = j rsum = r[x,u] probs = p[u,x,:] # 100 is an arbitrary threshold where gamma**100 is sufficiently low for t in range(1,100): probs = p[u,x,:] x = np.random.choice(np.arange(p.shape[1]),p=probs) u = policy[x] rsum += r[x,u]*gamma**t returns.append(rsum) q[i,j] = sum(returns)/n for i in range(q.shape[0]): v[i] = q[i,policy[i]] return v,q def improve_policy(policy,q): newpolicy = copy(policy) for i in range(len(policy)): newpolicy[i] = np.argmax(q[i,:]) return newpolicy # encodes p(x_{t+1} | x_t, u_t), the first dimension is u_t, next is x_t, and the third is x_{t+1} p = np.array([[[0.6, .25, .15], [0.0, 1.0, 0.0], [0.3, 0.0, 0.7]], [[0.1, .8, .1], [0.0, 0.0, 1.0], [0.0, 0.5, 0.5]]]) # encodes r(x_t, u_t), the first dimension is x_t, and the second is u_t r = np.array([[0.0, 0.0], [0.0, 0.0], [1.0, 1.0]]) # the discount factor for the MDP gamma = 0.9 # initialize the policy (at first always execute action 0) policy = [0, 0, 0] print "policy is ", policy converged = False while not(converged): # evaluate the policy v,q = evaluate_policy_montecarlo(policy,p,r,gamma,100) print "value function is", v oldpolicy = policy # improve the policy policy = improve_policy(policy,q) converged = oldpolicy == policy print "new policy is ", policy

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import os import json from StcIntPythonPL import * from spirent.methodology.results.Status import Status from spirent.methodology.results.ResultEnum import ( EnumVerdict, EnumDataClass, EnumDataFormat ) import spirent.methodology.results.LogUtils as logger from spirent.methodology.results.ResultConst import ResultConst from spirent.methodology.results.ProviderConst import ProviderConst as pc import copy import datetime import time def summarize_status(obj): verdict = EnumVerdict.none verdict_text = ResultConst.NONE for result in obj._data: if Status.get_dict_name() in result: if Status.get_apply_verdict_dict_name() in result[Status.get_dict_name()]: if result[Status.get_dict_name()][Status.get_apply_verdict_dict_name()] is False: continue new_verdict = result[Status.get_dict_name()][Status.get_verdict_dict_name()] if EnumVerdict.do_override_verdict(verdict, new_verdict): verdict = new_verdict verdict_text = \ result[Status.get_dict_name()][Status.get_verdict_text_dict_name()] obj._status.verdict = verdict if verdict == EnumVerdict.passed: obj._status.verdict_text = ResultConst.TEST_PASS_VERDICT_TEXT else: obj._status.verdict_text = verdict_text def generate_report_file(report_name, data): filename = os.path.join(CTestResultSettingExt.GetResultDbBaseDirectory(), report_name) logger.info("Saving file:" + filename) if not os.path.exists(os.path.dirname(filename)): os.makedirs(os.path.dirname(filename)) f = open(filename, "w") f.write(json.dumps(data, separators=(',', ':'), sort_keys=False)) f.close() CFileManager.AddFile(filename, 'RESULT') return filename def wrap_data_as_single_group(data, group_tag=ResultConst.ALL_GROUPS): groupdata = {} groupdata[ResultConst.TAG] = group_tag if not isinstance(data, list): groupdata[ResultConst.CHILDREN] = [] groupdata[ResultConst.CHILDREN].append(data) else: groupdata[ResultConst.CHILDREN] = data return groupdata def report_group_comparator(data1, data2): value1 = CMeta.GetEnumerationValue('spirent.methodology.ResultBaseCommand', 'ReportGroup', str(data1[pc.INFO][pc.REPORT_GROUP])) value2 = CMeta.GetEnumerationValue('spirent.methodology.ResultBaseCommand', 'ReportGroup', str(data2[pc.INFO][pc.REPORT_GROUP])) return value1 - value2 def group_data_using_report_group(data): data.sort(report_group_comparator) groupdata = {} groupdata[ResultConst.TAG] = ResultConst.ALL_GROUPS groupdata[ResultConst.CHILDREN] = [] result_group = {} result_group[pc.CLASS] = EnumDataClass.result_group result_group[pc.DATA_FORMAT] = EnumDataFormat.group mydata = {} mydata[ResultConst.TAG] = 'ResultGroup' mydata[ResultConst.CHILDREN] = [] result_group[pc.DATA] = mydata cgdata = copy.deepcopy(result_group) cdata = cgdata[pc.DATA] cgroup = pc.DEFAULT_REPORT_GROUP for pdata in data: if cdata[ResultConst.CHILDREN]: if pdata[pc.INFO][pc.REPORT_GROUP] == cgroup: cdata[ResultConst.CHILDREN].append(pdata) continue else: groupdata[ResultConst.CHILDREN].append(cgdata) cgdata = copy.deepcopy(result_group) cdata = cgdata[pc.DATA] cdata[ResultConst.CHILDREN].append(pdata) cgroup = pdata[pc.INFO][pc.REPORT_GROUP] cdata[ResultConst.TAG] = "Report Group " + cgroup if cdata[ResultConst.CHILDREN]: groupdata[ResultConst.CHILDREN].append(cgdata) return groupdata def validate_report_group(stringValue): try: CMeta.GetEnumerationValue('spirent.methodology.ResultBaseCommand', 'ReportGroup', str(stringValue)) return stringValue except: return pc.DEFAULT_REPORT_GROUP def insert_report_group_if_not_defined(dict_data): if not (pc.INFO in dict_data): dict_data[pc.INFO] = {} if not (pc.REPORT_GROUP in dict_data[pc.INFO]): dict_data[pc.INFO][pc.REPORT_GROUP] = pc.DEFAULT_REPORT_GROUP else: dict_data[pc.INFO][pc.REPORT_GROUP] = \ validate_report_group(dict_data[pc.INFO][pc.REPORT_GROUP]) return dict_data def get_current_time_string(): return datetime.datetime.fromtimestamp(time.time()).strftime('%Y-%m-%d %H:%M:%S')

[ "c@m.com" ]

c@m.com

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/234 Palindrome Linked List.py

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[]

no_license

EvianTan/Lintcode-Leetcode

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refs/heads/master

2021-01-22T08:13:55.758825

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''' Given a singly linked list, determine if it is a palindrome. Follow up: Could you do it in O(n) time and O(1) space? ''' # Definition for singly-linked list. # class ListNode(object): # def __init__(self, x): # self.val = x # self.next = None class Solution(object): def isPalindrome(self, head): """ :type head: ListNode :rtype: bool """ nodes = [] while head: nodes.append(head.val) head = head.next return nodes == nodes[::-1]

[ "yiyun.tan@uconn.edu" ]

yiyun.tan@uconn.edu

8d7b3d53d319729a792f4c4c9540b11d79a2188e

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/187.RepeatedDNASequences.py

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[]

no_license

yao9208/lc

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2020-04-03T20:55:40.199637

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from sets import Set class Solution(object): def findRepeatedDnaSequences(self, s): """ :type s: str :rtype: List[str] """ result = [] dic = Set() resultSet = Set() for i in range(len(s)-9): sub = s[i:i+10] #key = self.transform(sub) if sub in dic: resultSet.add(sub) else: dic.add(sub) return list(resultSet) def transform(self, s): dic = {'A':0, 'T':1, 'C':2, 'G':3} result = 0 for ch in s: result = result<<2+dic[ch] return result

[ "yao9208@foxmail.com" ]

yao9208@foxmail.com

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/pdMwiMpYkJkn8WY83_4.py

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[]

no_license

daniel-reich/turbo-robot

feda6c0523bb83ab8954b6d06302bfec5b16ebdf

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refs/heads/main

2023-03-26T01:55:14.210264

2021-03-23T16:08:01

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""" Write a function that **recursively** determines if a string is a palindrome. ### Examples is_palindrome("abcba") ➞ True is_palindrome("b") ➞ True is_palindrome("") ➞ True is_palindrome("ad") ➞ False ### Notes An empty string counts as a palindrome. """ def is_palindrome(w): if len(w) <= 1: return True elif w[0] == w[-1]: return is_palindrome(w[1:-1]) else: return False

[ "daniel.reich@danielreichs-MacBook-Pro.local" ]

daniel.reich@danielreichs-MacBook-Pro.local

0189ebc033ef3f0dba5aa432cc867ce49bd47944

3da15577cf3faeeab75cf48f6230372e22e1ae39

/shop/api/permissions.py

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no_license

deepdik/cityapl

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refs/heads/master

2020-04-04T22:37:42.507940

2018-11-06T06:02:05

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from rest_framework.permissions import BasePermission,SAFE_METHODS class IsOwnerOrReadOnly(BasePermission): def has_object_permission(self, request, view, obj): if request.method in SAFE_METHODS: return True return obj.user == request.user class IsUser(BasePermission): def has_permission(self, request, view): print("hello") if 'HTTP_USER_AGENT' in request.META: # print (request.META['']) if 'Mozilla' in request.META['HTTP_USER_AGENT']: if(request.META.get('HTTP_REFERER')): return True return False

[ "dk5f95@gmail.com" ]

dk5f95@gmail.com

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/xai/brain/wordbase/nouns/_fop.py

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permissive

cash2one/xai

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refs/heads/master

2021-01-19T12:33:54.964379

2017-01-28T02:00:50

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#calss header class _FOP(): def __init__(self,): self.name = "FOP" self.definitions = [u'(especially in the past) a man who is extremely interested in his appearance and who wears very decorative clothes'] self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.specie = 'nouns' def run(self, obj1 = [], obj2 = []): return self.jsondata

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

c030633d3f8acd75c40c4fc8a8369f4a9c37a819

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/apps/master/migrations/0011_auto_20210414_2324.py

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[]

no_license

HilmiZul/walikelas

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3febaf97272c78310e488c883a9647b269e25930

refs/heads/master

2023-08-15T20:56:58.011519

2021-10-07T04:32:43

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# Generated by Django 2.2.17 on 2021-04-14 16:24 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('master', '0010_gurumapel_rombel'), ] operations = [ migrations.RenameField( model_name='rombel', old_name='guru', new_name='walikelas', ), ]

[ "netspytux@gmail.com" ]

netspytux@gmail.com

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/.history/yjs/test_20210606212007.py

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[]

no_license

Suelt/Hust-SE-introduction-to-ML

649aba0e5b41363ceac03330ef02982982a0615d

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refs/heads/master

2023-05-27T13:13:41.058545

2021-06-10T05:44:02

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import numpy as np from tensorflow.keras.datasets import mnist import random class NumpyinMnist(): def __init__(self): self.layers=2 self.weight=[] self.weight.append(np.random.randn(30,784)) self.weight.append(np.random.randn(10,30)) self.bias=[] self.bias.append(np.random.rand(30,1)) self.bias.append(np.random.rand(10,1)) # size[784,30,10] # w:[output, input] # b:[output] def forward(self,x): for i in range(2): b=self.bias[i] w=self.weight[i] # b_axis1=[] # for i in range(len(b)): # b_axis1.append(b[i][0]) z = w@x+b x = sigmoid(z) return x def backpropagation(self, x, y): x=x.reshape(784,1) gradient_w = [np.zeros(w.shape) for w in self.weight] gradient_b = [np.zeros(b.shape) for b in self.bias] intermediate_list = [] zs = [] intermediate = x for i in range(2): b=self.bias[i] w=self.weight[i] z = w@intermediate + b intermediate = sigmoid(z) zs.append(z) intermediate_list.append(intermediate) #隐层->输出层 loss=np.power((intermediate_list[-1]-y),2).sum() delta = intermediate_list[-1] * (1 - intermediate_list[-1]) * (intermediate_list[-1] - y) gradient_b[-1] = delta intermediate_output=intermediate_list[-2].T delta_w=delta@intermediate_output gradient_w[-1] = delta_w #隐层->输入层 z = zs[-2] a = intermediate_list[-2] delta = np.dot(self.weight[-1].T, delta) * a * (1 - a) gradient_b[-2] = delta delta_w=delta@x.T gradient_w[-2] = delta_w return gradient_w, gradient_b,loss def train(self, training_data,test_data, epoches, batch_size, lr): n = 60000 for j in range(epoches): #random.shuffle(train_data) batches = [ training_data[k:k + batch_size] for k in range(0, n, batch_size)] for batch in batches: batch_gradient_w = [np.zeros(w.shape) for w in self.weight] batch_gradient_b = [np.zeros(b.shape) for b in self.bias] batch_loss=0 for x, y in batch: gradient_w, gradient_b,loss = self.backpropagation(x, y) batch_gradient_w = [batch_w + w for batch_w, w in zip(batch_gradient_w, gradient_w)] batch_gradient_b = [batch_b + b for batch_b, b in zip(batch_gradient_b, gradient_b)] batch_loss+=loss batch_gradient_w = [w / len(batch) for w in batch_gradient_w] batch_gradient_b = [b / len(batch) for b in batch_gradient_b] batch_loss=batch_loss/len(batch) self.weight = [w - lr * batch_w for w,batch_w in zip(self.weight, batch_gradient_w)] self.bias = [b - lr * batch_b for b, batch_b in zip(self.bias, batch_gradient_b)] loss=batch_loss if test_data: n_test = len(test_data) print("Epoch {0}:{1}/{2}".format(j, self.evaluate(test_data), n_test),loss) else: print("Epoch {0} complete".format(j)) # def update_mini_batch(self, batch, lr): # batch_gradient_w = [np.zeros(w.shape) for w in self.weight] # batch_gradient_b = [np.zeros(b.shape) for b in self.bias] # batch_loss=0 # # for every sample in current batch # for x, y in batch: # # list of every w/b gradient # # [w1,w2,w3] # gradient_w, gradient_b,loss = self.backpropagation(x, y) # batch_gradient_w = [batch_w + w for batch_w, w in zip(batch_gradient_w, gradient_w)] # batch_gradient_b = [batch_b + b for batch_b, b in zip(batch_gradient_b, gradient_b)] # batch_loss+=loss # batch_gradient_w = [w / len(batch) for w in batch_gradient_w] # batch_gradient_b = [b / len(batch) for b in batch_gradient_b] # batch_loss=batch_loss/len(batch) # # w = w - lr * nabla_w # self.weight = [w - lr * batch_w for w,batch_w in zip(self.weight, batch_gradient_w)] # self.bias = [b - lr * batch_b for b, batch_b in zip(self.bias, batch_gradient_b)] # return batch_loss def evaluate(self, test_data): sum=0 for x,y in test_data: pred=np.argmax(self.forward(x.reshape([784,1]))) if(pred==y): sum+=1 return sum def convert_to_one_hot(y, C): return np.eye(C)[y.reshape(-1)].T def sigmoid(X): return 1.0 / (1 + np.exp(-X)) if __name__ == '__main__': (x_train, y_train), (x_test, y_test) = mnist.load_data() train_data = [] train_x = x_train.reshape([x_train.shape[0], x_train.shape[1]*x_train.shape[2]]) test_data = [] test_x = x_test.reshape([x_test.shape[0], x_test.shape[1]*x_test.shape[2]]) for i in range(train_x.shape[0]): train_data.append([train_x[i]/255, convert_to_one_hot(y_train[i], 10)]) for i in range(test_x.shape[0]): test_data.append([test_x[i]/255, y_test[i]]) demo=NumpyinMnist() demo.train(train_data,test_data,10,100,0.1)

[ "2552925383@qq.com" ]

2552925383@qq.com

2f84b258aeb88034ffb315eab22e7c3a81441c17

c09a8ed8cc41f1c60341aaa4a6c267950022d336

/database-test/code/app.py

2bfc3c647d519e86dfbc6a90541e1e17c4f6e196

[]

no_license

chuiizeet/Flask-bois

796abc1c135dd2d0032179a818a9227ee919d86e

a7c06e5167e169bc57a83bb4e17bef85e620c2fb

refs/heads/master

2020-05-30T02:06:43.128860

2019-06-25T22:08:12

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from flask import Flask from flask_restful import Api from flask_jwt import JWT from secure import authenticate, identity from user import UserRegister from item import Item, ItemList app = Flask(__name__) app.secret_key = 'chuy' api = Api(app) jwt = JWT(app, authenticate, identity) api.add_resource(Item, '/item/<string:name>') api.add_resource(ItemList, '/items') api.add_resource(UserRegister, '/register') if __name__ == "__main__": app.run(port=5000, debug=True)

[ "chuy.guerra19@outlook.es" ]

chuy.guerra19@outlook.es

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/test/test_ibnode.py

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tmsincomb/pyontutils

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refs/heads/master

2023-03-20T00:51:47.392754

2023-03-06T16:58:03

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import unittest from pathlib import Path import rdflib from pyontutils.core import yield_recursive from pyontutils.identity_bnode import bnodes, IdentityBNode from .common import temp_path class TestIBNode(unittest.TestCase): def setUp(self): self.graph1 = rdflib.Graph() file = Path('ttlser/test/nasty.ttl') with open(file.as_posix(), 'rb') as f: self.ser1 = f.read() self.graph1.parse(data=self.ser1, format='turtle') g2format = 'nt' # broken serialization :/ with full lenght prefixes self.ser2 = self.graph1.serialize(format=g2format, encoding='utf-8') with open('test_ser2.ttl', 'wb') as f: f.write(self.ser2) self.graph2 = rdflib.Graph() self.graph2.parse(data=self.ser2, format=g2format) # FIXME this doesn't account for changes in identity # under normalization for example by ttlser # IBNode should not do the normalization itself # because we do want normalized forms to have a # different identity, the question does arrise however # about where symmetric predicates fit ... I think those # are not a normalization of representation case I think # they are clearly an ordering cases and thus in scope for # IBNode, in the say way reordering lists is in scope def test_bytes(self): test = b'hello' ident = IdentityBNode(test).identity m = IdentityBNode.cypher() m.update(test) h = m.digest() assert ident == h, ident def test_string(self): test = 'hello' ident = IdentityBNode(test).identity m = IdentityBNode.cypher() m.update(test.encode(IdentityBNode.encoding)) h = m.digest() assert ident == h, ident def test_pair(self): test = 'hello', 'world' ibn = IdentityBNode(test) ident = ibn.identity m = IdentityBNode.cypher() for i, t in enumerate(test): m.update(t.encode(IdentityBNode.encoding)) if not i % 2: m.update(ibn.cypher_field_separator_hash) h = m.digest() assert ident == h, ident def test_ser(self): assert IdentityBNode(self.ser1) != IdentityBNode(self.ser2), 'serialization matches!' def test_nodes(self): assert IdentityBNode('hello there') == IdentityBNode('hello there') assert IdentityBNode(b'hello there') == IdentityBNode(b'hello there') try: assert IdentityBNode(rdflib.BNode()) != IdentityBNode(rdflib.BNode()) # TODO consider returning the bnode itself? raise AssertionError('identity bnode returned identity for bnode') except ValueError as e: pass try: bnode = rdflib.BNode() assert IdentityBNode(bnode) == IdentityBNode(bnode) raise AssertionError('identity bnode returned identity for bnode') except ValueError as e: pass lit1 = rdflib.Literal('hello there') lit2 = rdflib.Literal('hello there', datatype=rdflib.XSD.string) lit3 = rdflib.Literal('hello there', lang='klingon') assert IdentityBNode(lit1) == IdentityBNode(lit1) assert IdentityBNode(lit2) == IdentityBNode(lit2) assert IdentityBNode(lit3) == IdentityBNode(lit3) assert IdentityBNode(lit1) != IdentityBNode(lit2) assert IdentityBNode(lit1) != IdentityBNode(lit3) assert IdentityBNode(lit2) != IdentityBNode(lit3) uri1 = rdflib.URIRef('http://example.org/1') uri2 = rdflib.URIRef('http://example.org/2') assert IdentityBNode(uri1) == IdentityBNode(uri1) assert IdentityBNode(uri2) == IdentityBNode(uri2) assert IdentityBNode(uri1) != IdentityBNode(uri2) def test_bnodes(self): assert sorted(bnodes(self.graph1)) != sorted(bnodes(self.graph2)), 'bnodes match!' def test_nifttl(self): fmt = 'nifttl' s1 = self.graph1.serialize(format=fmt) g2 = rdflib.Graph() [g2.add(t) for t in self.graph1] [g2.namespace_manager.bind(k, str(v)) for k, v in self.graph1.namespaces()] s2 = g2.serialize(format=fmt) try: assert s1 == s2 except AssertionError as e: with open(temp_path / 'f1.ttl', 'wb') as f1, open(temp_path / 'f2.ttl', 'wb') as f2: f1.write(s1) f2.write(s2) raise e def test_ibnode(self): def sbs(l1, l2): for a, b in zip(l1, l2): print('', a[:5], a[-5:], '\n', b[:5], b[-5:], '\n\n') def ds(d1, d2): for (k1, v1), (k2, v2) in sorted(zip(sorted(d1.items()), sorted(d2.items()))): if k1 != k2: # TODO len t1 != len t2 for t1, t2 in sorted(zip(sorted(v1), sorted(v2))): print(tuple(e[:5] if type(e) == bytes else e for e in t1)) print(tuple(e[:5] if type(e) == bytes else e for e in t2)) print() id1 = IdentityBNode(self.graph1, debug=True) id2 = IdentityBNode(self.graph2, debug=True) idni1 = sorted(id1.named_identities) idni2 = sorted(id2.named_identities) assert idni1 == idni2, 'named identities do not match' idli1 = sorted(id1.connected_identities) idli2 = sorted(id2.connected_identities) assert idli1 == idli2, 'linked identities do not match' idfi1 = sorted(id1.free_identities) idfi2 = sorted(id2.free_identities) try: assert idfi1 == idfi2, 'free identities do not match' except AssertionError as e: _ = [[print(e[:10]) for e in t] and print() for t in zip(idfi1, idfi2)] lu1 = {v:k for k, v in id1.unnamed_subgraph_identities.items()} lu2 = {v:k for k, v in id2.unnamed_subgraph_identities.items()} s1 = set(id1.unnamed_subgraph_identities.values()) s2 = set(id2.unnamed_subgraph_identities.values()) diff = (s1 | s2) - (s1 & s2) for d in diff: if d in lu1: s = lu1[d] p, o = next(id1._thing[s]) print('id1 extra') [print(t) for t in sorted(yield_recursive(s, p, o, id1._thing), key=lambda t:t[::-1])] else: s = lu2[d] p, o = next(id2._thing[s]) print('id2 extra') [print(t) for t in sorted(yield_recursive(s, p, o, id2._thing), key=lambda t:t[::-1])] assert len(set(idfi1)) == len(idfi1), 'HRM 1' assert len(set(idfi2)) == len(idfi2), 'HRM 2' print(len(idfi1), len(idfi2)) # wow... terrifying that these don't match print(e) embed() raise e assert id1.identity == id2.identity, 'identities do not match' def test_symmetric(self): msp = 'my-sym-pred' forward = 'a', msp, 'b' backward = tuple(reversed(forward)) f = IdentityBNode([forward], symmetric_predicates=[msp]) b = IdentityBNode([backward], symmetric_predicates=[msp]) assert f == b def test_check(self): id1 = IdentityBNode(self.graph1) assert id1.check(self.graph2), 'check failed!' def test_dropout(self): # TODO # test dropout of all but one subgraphs that share an identity pass

[ "tgbugs@gmail.com" ]

tgbugs@gmail.com

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/2018/xman/rmd5.py

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[]

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virink/ctflog

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e5ed8f7fdf7945f9aa781824184131b00529d073

refs/heads/master

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2020-03-09T03:48:05

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import multiprocessing from concurrent import futures import sys import os import md5 BASENUM = 1000000 global encoded global stop global result stop = False def md5x(str): m1 = md5.new() m1.update(str) return m1.hexdigest() class Multicpu(): def __init__(self, cpu_num, thread_num): self.cpu_num = cpu_num self.thread_num = thread_num def _multi_cpu(self, func, job_queue, timeout): if getLen(job_queue) == 0: return [] index = get_index(job_queue, self.cpu_num) cpu_pool = multiprocessing.Pool(processes=self.cpu_num) mgr = multiprocessing.Manager() process_bar = mgr.list() for i in range(self.cpu_num): process_bar.append(0) result_queue = cpu_pool.map(_multi_thread, [[func, self.cpu_num, self.thread_num, job_queue[ index[i][0]: index[i][1] + 1], timeout, process_bar, i] for i in range(len(index))]) result = [] for rl in result_queue: for r in rl: result.append(r) return result def _func(argv): argv[2][argv[3]] = round((argv[4] * 100.0 / argv[5]), 2) sys.stdout.write(str(argv[2]) + ' ||' + '->' + "\r") sys.stdout.flush() return argv[0](argv[1]) def _multi_thread(argv): thread_num = argv[2] if getLen(argv[3]) < thread_num: thread_num = argv[3] func_argvs = [[argv[0], argv[3][i], argv[5], argv[6], i, len(argv[3])] for i in range(len(argv[3]))] result = [] if thread_num == 1: for func_argv in func_argvs: result.append(_func(func_argv)) return result # else thread_pool = futures.ThreadPoolExecutor(max_workers=thread_num) result = thread_pool.map(_func, func_argvs, timeout=argv[4]) return [r for r in result] def get_index(job_queue, split_num): job_num = getLen(job_queue) if job_num < split_num: split_num = job_num each_num = job_num / split_num index = [[i * each_num, i * each_num + each_num - 1] for i in range(split_num)] residual_num = job_num % split_num for i in range(residual_num): index[split_num - residual_num + i][0] += i index[split_num - residual_num + i][1] += i + 1 return index def getLen(_list): if _list == None: return 0 return len(_list) def multi_cpu(func, job_queue, cpu_num=1, thread_num=1, timeout=None): multicpu_instance = Multicpu(cpu_num, thread_num) return multicpu_instance._multi_cpu(func, job_queue, timeout) def runmd5(num): global encoded global stop start = BASENUM * (int(num)) i = start while i <= start * 10: if os.getenv('runmd5') or stop: break if md5x(str(i))[0:6] == encoded: print('DeCode : %d\n' % i) os.setenv('runmd5', '1') stop = True return i i += 1 return False if __name__ == '__main__': global encoded encoded = raw_input('code : ') while encoded: os.setenv('runmd5', '0') print('Runing... %s' % encoded) m = multi_cpu(runmd5, [i for i in range(1, 100)], 5, 10) print(m) encoded = raw_input('code : ')

[ "virink@outlook.com" ]

virink@outlook.com

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/put_repo_requests_in_db.py

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[ "MIT" ]

permissive

curiousleo/oadoi

30a247796982dd467f5536735c1be7ebbc447331

bd63cb3840cc08cc1846b1baf121bea0a84af079

refs/heads/master

2020-04-17T12:47:27.959453

2019-01-18T21:09:50

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UTF-8

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import csv import os import json import gspread import datetime import unicodecsv as csv from oauth2client.service_account import ServiceAccountCredentials from app import db from util import safe_commit from repository import Endpoint from repository import Repository from repository import RepoRequest # this file inspired by https://www.twilio.com/blog/2017/02/an-easy-way-to-read-and-write-to-a-google-spreadsheet-in-python.html # use creds to create a client to interact with the Google Drive API scopes = ['https://spreadsheets.google.com/feeds'] json_creds = os.getenv("GOOGLE_SHEETS_CREDS_JSON") creds_dict = json.loads(json_creds) # hack to get around ugly new line escaping issues # this works for me, but later found links to what might be cleaner solutions: # use ast.literal_eval? https://github.com/googleapis/google-api-go-client/issues/185#issuecomment-422732250 # or maybe dumping like this might fix it? https://coreyward.svbtle.com/how-to-send-a-multiline-file-to-heroku-config creds_dict["private_key"] = creds_dict["private_key"].replace("\\\\n", "\n") # now continue creds = ServiceAccountCredentials.from_json_keyfile_dict(creds_dict, scopes) client = gspread.authorize(creds) # Find a workbook by url spreadsheet = client.open_by_url("https://docs.google.com/spreadsheets/d/1RcQuetbKVYRRf0GhGZQi38okY8gT1cPUs6l3RM94yQo/edit#gid=704459328") sheet = spreadsheet.sheet1 # Extract and print all of the values rows = sheet.get_all_values() print(rows[0:1]) with open('out.csv','wb') as f: w = csv.DictWriter(f, fieldnames=RepoRequest.list_fieldnames(), encoding='utf-8-sig') for row in rows[1:]: # skip header row my_repo_request = RepoRequest() my_repo_request.set_id_seed(row[0]) column_num = 0 for fieldname in RepoRequest.list_fieldnames(): if fieldname != "id": setattr(my_repo_request, fieldname, row[column_num]) column_num += 1 w.writerow(my_repo_request.to_dict()) db.session.merge(my_repo_request) safe_commit(db) # # my_requests = RepoRequest.query.all() # for my_request in my_requests: # matching_repo = None # matching_endpoint = None # # endpoint_matches = my_request.matching_endpoints() # print u"\n" # if endpoint_matches: # matching_endpoint = endpoint_matches[0] # matching_repo = matching_endpoint.meta # else: # print u"no matching endpoint for {}".format(my_request.pmh_url) # matching_endpoint = Endpoint() # matching_endpoint.pmh_url = my_request.pmh_url # # db.session.add(matching_endpoint) # # if matching_repo: # print u"yay! for {} matches {}".format(my_request.pmh_url, matching_endpoint.pmh_url) # print u"has repository '{}'".format(matching_repo) # else: # repo_matches = my_request.matching_repositories() # if repo_matches: # matching_repo = repo_matches[0] # print u"yay! for {} {} matches repository {}".format( # my_request.institution_name, my_request.repo_name, matching_repo) # else: # print u"no matching repository for {}: {}".format( # my_request.institution_name, my_request.repo_name) # matching_repo = Repository() # # db.session.add(matching_repo) # # # overwrite stuff with request # matching_repo.institution_name = my_request.institution_name # matching_repo.repository_name = my_request.repo_name # matching_repo.home_page = my_request.repo_home_page # matching_endpoint.repo_unique_id = matching_repo.id # matching_endpoint.email = my_request.email # matching_endpoint.repo_request_id = my_request.id # # db.session.merge(matching_endpoint) # db.session.merge(matching_repo) # # safe_commit(db)

[ "hpiwowar@gmail.com" ]

hpiwowar@gmail.com

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/samples/get_sq_state.py

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[ "MIT" ]

permissive

Crivez/apiclient-python

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refs/heads/master

2023-06-08T13:24:09.249704

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from voximplant.apiclient import VoximplantAPI, VoximplantException if __name__ == "__main__": voxapi = VoximplantAPI("credentials.json") # Gets the current state of the smart queue with id = 1. APPLICATION_ID = 1 SQ_QUEUE_ID = 1 try: res = voxapi.get_sq_state(application_id=APPLICATION_ID, sq_queue_id=SQ_QUEUE_ID) print(res) except VoximplantException as e: print("Error: {}".format(e.message))

[ "andrey@voximplant.com" ]

andrey@voximplant.com

4a54783d2c394f8ba238fbd5d64ef46f8dbfddc5

09b8638b41ada6d8341920f88642d829fa45fe34

/blog/migrations/0001_initial.py

517d17b4e456a459c9352af883d1d8e30761c004

[]

no_license

HanHyunsoo/Django_Blog

31bf85616ed4956c894f0f6830428a29e9926be4

ef6b1eb3f8f03fddce1a08f2b10353ee3b529e47

refs/heads/master

2022-12-14T22:56:26.761304

2019-09-08T12:16:31

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2022-12-08T01:40:54

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# Generated by Django 2.1.3 on 2019-03-06 15:11 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Blog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=200)), ('pub_date', models.DateTimeField(verbose_name='date published')), ('body', models.TextField()), ], ), ]

[ "gustn4563@gmail.com" ]

gustn4563@gmail.com

4e5c72caa25fd48fe9c962c1cc3b9048f5ac051c

cb2a40b70bc21d0057c96ddb2c86edceffe19707

/studioadmin/views/waiting_list.py

9382d6b048ddc7a4a35e7e40495f5bebbbae5b0f

[]

no_license

rebkwok/pipsevents

ceed9f420b08cd1a3fa418800c0870f5a95a4067

c997349a1b4f3995ca4bb3a897be6a73001c9810

refs/heads/main

2023-08-09T14:11:52.227086

2023-07-27T20:21:01

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null

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import logging from django.contrib.auth.decorators import login_required from django.contrib.auth.models import User from django.contrib import messages from django.template.response import TemplateResponse from django.shortcuts import get_object_or_404 from django.shortcuts import HttpResponseRedirect from django.urls import reverse from booking.models import Event, WaitingListUser from studioadmin.views.helpers import is_instructor_or_staff from studioadmin.views.helpers import url_with_querystring from activitylog.models import ActivityLog logger = logging.getLogger(__name__) @login_required @is_instructor_or_staff def event_waiting_list_view(request, event_id): event = get_object_or_404(Event, id=event_id) waiting_list_users = WaitingListUser.objects.filter( event__id=event_id).order_by('user__username') ev_type = 'lessons' if event.event_type.event_type == 'CL' else 'events' template = 'studioadmin/event_waiting_list.html' if request.method == 'POST' and 'remove_user' in request.POST: remove_wluser_id = request.POST.getlist('remove_user')[0] wl_user_to_remove = WaitingListUser.objects.get(id=remove_wluser_id) waiting_list_users.exclude(id=remove_wluser_id) user_to_remove = User.objects.get(id=wl_user_to_remove.user.id) wl_user_to_remove.delete() messages.success( request, "{} {} ({}) has been removed from the waiting list".format( user_to_remove.first_name, user_to_remove.last_name, user_to_remove.username ) ) ActivityLog.objects.create( log="{} {} ({}) removed from the waiting list " "by admin user {}".format( user_to_remove.first_name, user_to_remove.last_name, user_to_remove.username, request.user.username ) ) return TemplateResponse( request, template, { 'waiting_list_users': waiting_list_users, 'event': event, 'sidenav_selection': '{}_register'.format(ev_type) } ) @login_required @is_instructor_or_staff def email_waiting_list(request, event_id): event = get_object_or_404(Event, id=event_id) waiting_list_users = WaitingListUser.objects.filter( event__id=event_id).values_list("user_id", flat=True) request.session['users_to_email'] = list(waiting_list_users) if event.event_type.event_type == "CL": lesson_ids = [event.id] event_ids = [] else: event_ids = [event.id] lesson_ids = [] return HttpResponseRedirect( url_with_querystring( reverse('studioadmin:email_users_view'), events=event_ids, lessons=lesson_ids) )

[ "rebkwok@gmail.com" ]

rebkwok@gmail.com

8af051b8ebbdbb0c18dadaa9850c01bee070223c

d3cbf02ebab6a3748cceaf56757b0ec7390921ce

/investment/migrations/0025_auto_20201123_1602.py

ffd8700b5acf84e40c35d8f91796581b223201ac

[]

no_license

rexcorp01/inv

69d6ec96c1f9206b3ae14b6b13bd3123e13ed3a6

99462cea1f8b027bc9e38d79a99e9194d1e72548

refs/heads/master

2023-09-05T11:46:48.804587

2021-11-04T06:34:16

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# Generated by Django 3.1.2 on 2020-11-23 16:02 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('investment', '0024_fundpurchasefee_operate'), ] operations = [ migrations.AlterModelOptions( name='fundpurchasefee', options={'verbose_name': '基金申购赎回费率(天天基金网)', 'verbose_name_plural': '基金申购赎回费率(天天基金网)'}, ), migrations.AlterField( model_name='fundpurchasefee', name='operate', field=models.CharField(choices=[('buy', '买'), ('sell', '卖')], max_length=4, verbose_name='交易方向'), ), migrations.CreateModel( name='StockRealtimePrice', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('price', models.DecimalField(decimal_places=4, max_digits=10, null=True, verbose_name='实时价格')), ('date', models.DateField(verbose_name='日期')), ('time', models.TimeField(verbose_name='时间')), ('secucode', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment.stock', verbose_name='股票代码')), ], options={ 'verbose_name': '股票实时价格', 'verbose_name_plural': '股票实时价格', 'db_table': 'sma_stocks_realtime_price', }, ), ]

[ "31942935+PengchuanC@users.noreply.github.com" ]

31942935+PengchuanC@users.noreply.github.com

5f7f0eecae2ec43241c24ac83f12dedb2313b931

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/nova/pci/request.py

f9703b9962b6f268bb4bf5ab9bfa4f2a87ef5df5

[ "Apache-2.0" ]

permissive

hyphon81/nova-for-gpu-passthrough

80392ea7462ade8457e77843482387d8f6593797

7c164980d7355d8fc40a6b155e31e325191b6a5e

refs/heads/master

2021-01-20T14:10:38.016142

2017-02-10T08:03:45

82,746,438

0

1

Apache-2.0

2020-07-24T00:41:48

2017-02-22T01:31:23

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UTF-8

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false

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py

# Copyright 2013 Intel Corporation # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """ Example of a PCI alias:: | pci_alias = '{ | "name": "QuicAssist", | "product_id": "0443", | "vendor_id": "8086", | "device_type": "type-PCI", | }' Aliases with the same name and the same device_type are OR operation:: | pci_alias = '{ | "name": "QuicAssist", | "product_id": "0442", | "vendor_id": "8086", | "device_type": "type-PCI", | }' These 2 aliases define a device request meaning: vendor_id is "8086" and product id is "0442" or "0443". """ import copy import jsonschema from oslo_serialization import jsonutils import six import nova.conf from nova import exception from nova.i18n import _ from nova.network import model as network_model from nova import objects from nova.objects import fields as obj_fields from nova.pci import utils PCI_NET_TAG = 'physical_network' PCI_DEVICE_TYPE_TAG = 'dev_type' DEVICE_TYPE_FOR_VNIC_TYPE = { network_model.VNIC_TYPE_DIRECT_PHYSICAL: obj_fields.PciDeviceType.SRIOV_PF } CONF = nova.conf.CONF _ALIAS_DEV_TYPE = [obj_fields.PciDeviceType.STANDARD, obj_fields.PciDeviceType.SRIOV_PF, obj_fields.PciDeviceType.SRIOV_VF] _ALIAS_CAP_TYPE = ['pci'] _ALIAS_SCHEMA = { "type": "object", "additionalProperties": False, "properties": { "name": { "type": "string", "minLength": 1, "maxLength": 256, }, "capability_type": { "type": "string", "enum": _ALIAS_CAP_TYPE, }, "product_id": { "type": "string", "pattern": utils.PCI_VENDOR_PATTERN, }, "vendor_id": { "type": "string", "pattern": utils.PCI_VENDOR_PATTERN, }, "device_type": { "type": "string", "enum": _ALIAS_DEV_TYPE, }, }, "required": ["name"], } def _get_alias_from_config(): """Parse and validate PCI aliases from the nova config.""" jaliases = CONF.pci_alias aliases = {} # map alias name to alias spec list try: for jsonspecs in jaliases: spec = jsonutils.loads(jsonspecs) jsonschema.validate(spec, _ALIAS_SCHEMA) # It should keep consistent behaviour in configuration # and extra specs to call strip() function. name = spec.pop("name").strip() dev_type = spec.pop('device_type', None) if dev_type: spec['dev_type'] = dev_type if name not in aliases: aliases[name] = [spec] else: if aliases[name][0]["dev_type"] == spec["dev_type"]: aliases[name].append(spec) else: reason = _("Device type mismatch for alias '%s'") % name raise exception.PciInvalidAlias(reason=reason) except exception.PciInvalidAlias: raise except Exception as e: raise exception.PciInvalidAlias(reason=six.text_type(e)) return aliases def _translate_alias_to_requests(alias_spec): """Generate complete pci requests from pci aliases in extra_spec.""" pci_aliases = _get_alias_from_config() pci_requests = [] # list of a specs dict for name, count in [spec.split(':') for spec in alias_spec.split(',')]: name = name.strip() if name not in pci_aliases: raise exception.PciRequestAliasNotDefined(alias=name) else: request = objects.InstancePCIRequest( count=int(count), spec=copy.deepcopy(pci_aliases[name]), alias_name=name) pci_requests.append(request) return pci_requests def get_pci_requests_from_flavor(flavor): """Get flavor's pci request. The pci_passthrough:alias scope in flavor extra_specs describes the flavor's pci requests, the key is 'pci_passthrough:alias' and the value has format 'alias_name_x:count, alias_name_y:count, ... '. The alias_name is defined in 'pci_alias' configurations. The flavor's requirement is translated into pci requests list, each entry in the list is a dictionary. The dictionary has three keys. The 'specs' gives the pci device properties requirement, the 'count' gives the number of devices, and the optional 'alias_name' is the corresponding alias definition name. Example: Assume alias configuration is:: | {'vendor_id':'8086', | 'device_id':'1502', | 'name':'alias_1'} The flavor extra specs includes: 'pci_passthrough:alias': 'alias_1:2'. The returned pci_requests are:: | pci_requests = [{'count':2, | 'specs': [{'vendor_id':'8086', | 'device_id':'1502'}], | 'alias_name': 'alias_1'}] :param flavor: the flavor to be checked :returns: a list of pci requests """ pci_requests = [] if ('extra_specs' in flavor and 'pci_passthrough:alias' in flavor['extra_specs']): pci_requests = _translate_alias_to_requests( flavor['extra_specs']['pci_passthrough:alias']) return objects.InstancePCIRequests(requests=pci_requests)

[ "zero812n@gmail.com" ]

zero812n@gmail.com

8ca2e20d5c2475857408ec3a9a8133b6303b1e7a

ef187d259d33e97c7b9ed07dfbf065cec3e41f59

/work/atcoder/abc/abc092/C/answers/257583_yurutechdon.py

a3ac0a13cdaaa6ce8a218886ee08a47873ccc801

[]

no_license

kjnh10/pcw

847f7295ea3174490485ffe14ce4cdea0931c032

8f677701bce15517fb9362cc5b596644da62dca8

refs/heads/master

2020-03-18T09:54:23.442772

2018-07-19T00:26:09

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0

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def calc(N, A, i): x = 0 r = 0 for j, a in enumerate(A): if j == i: continue r += abs(x - a) x = a r += abs(x) return r def calc0(N, A): x = 0 r = 0 for a in A: r += abs(x - a) x = a return r def calc1(N, A, ra, i): x0 = A[i - 1] x1 = A[i] x2 = A[i + 1] return ra - abs(x0 - x1) - abs(x1 - x2) + abs(x0 - x2) #N = 1000 #A = list(range(N)) N = int(input()) A = [int(_) for _ in input().split()] A += [0] ra = calc0(N, A) for i in range(N): print(calc1(N, A, ra, i))

[ "kojinho10@gmail.com" ]

kojinho10@gmail.com

9de8a8cb58a3e52341efd46b1d033cd4c7310da3

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/build/dynamic_tutorials/catkin_generated/pkg.installspace.context.pc.py

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[]

no_license

aransena/catkin_ws

efdf1a52b7dbbefbfa9cb748630f7be1ffd7f628

eae6b83c80803a718a8e41569d3b4e7c1c838926

refs/heads/master

2021-01-18T21:12:48.557260

2016-06-03T13:39:22

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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/aransena/catkin_ws/install/include".split(';') if "/home/aransena/catkin_ws/install/include" != "" else [] PROJECT_CATKIN_DEPENDS = "".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else [] PROJECT_NAME = "dynamic_tutorials" PROJECT_SPACE_DIR = "/home/aransena/catkin_ws/install" PROJECT_VERSION = "0.0.0"

[ "aransena@gmail.com" ]

aransena@gmail.com

fbcd67d7d74c3ecae26dd5bef37a5504acbf0d17

183e4126b2fdb9c4276a504ff3ace42f4fbcdb16

/I семестр/Програмування (Python)/Лабораторні/Братун 6305/Labs/PRES_12/Q-q19.py

d6abad875de624e2a57c49fc115606475640bb15

[]

no_license

Computer-engineering-FICT/Computer-engineering-FICT

ab625e2ca421af8bcaff74f0d37ac1f7d363f203

80b64b43d2254e15338060aa4a6d946e8bd43424

refs/heads/master

2023-08-10T08:02:34.873229

2019-06-22T22:06:19

193,206,403

3

0

null

2023-07-22T09:01:05

2019-06-22T07:41:22

HTML

UTF-8

Python

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py

def func(e1, е2, е3): return e1 + е2 + е3 # Повертаємо нове значення arr1 = [1, 2, 3, 4, 5] arr2 = [10, 20, 30, 40, 50] arr3 = [100, 200, 300, 400, 500] print(list(map(func, arr1, arr2, arr3))) #[111, 222, 333, 444, 555]

[ "mazanyan027@gmail.com" ]

mazanyan027@gmail.com

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/imagenet_VGG16/imagenet_custom_dataset.py

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byh1321/CIFAR100_Distorted_Channel_Selective

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from torch.utils.data.dataset import Dataset from torchvision import transforms import pandas as pd import numpy as np from PIL import Image ''' class IMAGENET2010VAL(Dataset): def __init__(self, csv_path): self.transformations = transforms.Compose([transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406],std=[0.229, 0.224, 0.225])]) self.data_info = pd.read_csv(csv_path, header=None) self.image_arr = np.asarray(self.data_info.iloc[:, 0]) self.label_arr = np.asarray(self.data_info.iloc[:, 1]) self.data_len = len(self.data_info.index) def __getitem__(self, index): # returns the data and labels. This function is called from dataloader like this single_image_name = self.image_arr[index] img_as_img = Image.open(single_image_name) img_as_tensor = self.transformations(img_as_img) single_image_label = np.int(self.label_arr[index]) return (img_as_tensor, single_image_label) def __len__(self): return self.data_len if __name__ == '__main__': cifar100_dirty = CIFAR100DIRTY_TEST('/home/mhha/A2S/cifar100_test_targets.csv') ''' #''' class IMAGENET2010VAL(Dataset): def __init__(self, csv_path): self.transformations = transforms.Compose([transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406],std=[0.229, 0.224, 0.225])]) self.data_info = pd.read_csv(csv_path, header=None) self.image_arr = np.asarray(self.data_info.iloc[:, 0]) self.label_arr = np.asarray(self.data_info.iloc[:, 1]) self.data_len = len(self.data_info.index) def __getitem__(self, index): # returns the data and labels. This function is called from dataloader like this single_image_name = self.image_arr[index] img_as_img = Image.open(single_image_name) img_as_tensor = self.transformations(img_as_img) single_image_label = np.int(self.label_arr[index]) return (img_as_tensor, single_image_label) def __len__(self): return self.data_len if __name__ == '__main__': cifar100_dirty = CIFAR100DIRTY_TEST('/home/mhha/A2S/cifar100_test_targets.csv') #''' """"""

[ "byh1321@naver.com" ]

byh1321@naver.com

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/test/test_v1launchpadauthorization_merchant_data_customer.py

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carlosgalvez-tiendeo/python-paycomet_client

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2023-08-03T02:27:50.857164

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# coding: utf-8 """ PAYCOMET REST API PAYCOMET API REST for customers. # noqa: E501 OpenAPI spec version: 2.28.0 Contact: tecnico@paycomet.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import paycomet_client from paycomet_client.models.v1launchpadauthorization_merchant_data_customer import V1launchpadauthorizationMerchantDataCustomer # noqa: E501 from paycomet_client.rest import ApiException class TestV1launchpadauthorizationMerchantDataCustomer(unittest.TestCase): """V1launchpadauthorizationMerchantDataCustomer unit test stubs""" def setUp(self): pass def tearDown(self): pass def testV1launchpadauthorizationMerchantDataCustomer(self): """Test V1launchpadauthorizationMerchantDataCustomer""" # FIXME: construct object with mandatory attributes with example values # model = paycomet_client.models.v1launchpadauthorization_merchant_data_customer.V1launchpadauthorizationMerchantDataCustomer() # noqa: E501 pass if __name__ == '__main__': unittest.main()

[ "carlos.galvez@tiendeo.com" ]

carlos.galvez@tiendeo.com

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RisperAkinyi/NewsHighlight

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#!/home/moringa/Desktop/projects/NewsHighlight/virtual/bin/python3 # -*- coding: utf-8 -*- import re import sys from gunicorn.app.pasterapp import run if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(run())

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longhui001/stockAnalysis

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refs/heads/master

2021-01-20T02:54:11.604864

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scrapy crawl sinabbsCrawler -a start_url="http://guba.sina.com.cn/?s=bar&name=sz000415" scrapy shell "http://guba.sina.com.cn/?s=bar&name=sz000415" scrapy crawl sinaCrawler -a start_url="http://vip.stock.finance.sina.com.cn/corp/go.php/vCB_AllNewsStock/symbol/sz000415.phtml"

[ "liyi193328@gmail.com" ]

liyi193328@gmail.com

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MannyKayy/Ultra-Data-Efficient-GAN-Training

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# PyTorch StudioGAN: https://github.com/POSTECH-CVLab/PyTorch-StudioGAN # The MIT License (MIT) # See license file or visit https://github.com/POSTECH-CVLab/PyTorch-StudioGAN for details # utils/load_checkpoint.py import os import torch import torch.nn as nn import torch.nn.utils.prune as prune def pruning_generate(model, state_dict): parameters_to_prune =[] for (name, m) in model.named_modules(): if isinstance(m, nn.Conv2d) or isinstance(m, nn.ConvTranspose2d): m = prune.custom_from_mask(m, name = 'weight', mask = state_dict[name + ".weight_mask"]) def load_checkpoint(model, optimizer, filename, metric=False, ema=False): # Note: Input model & optimizer should be pre-defined. This routine only updates their states. start_step = 0 if ema: checkpoint = torch.load(filename) #pruning_generate(model, checkpoint['state_dict']) model.load_state_dict(checkpoint['state_dict']) return model else: checkpoint = torch.load(filename) seed = checkpoint['seed'] run_name = checkpoint['run_name'] start_step = checkpoint['step'] #pruning_generate(model, checkpoint['state_dict']) model.load_state_dict(checkpoint['state_dict']) optimizer.load_state_dict(checkpoint['optimizer']) ada_p = checkpoint['ada_p'] for state in optimizer.state.values(): for k, v in state.items(): if isinstance(v, torch.Tensor): state[k] = v.cuda() if metric: best_step = checkpoint['best_step'] best_fid = checkpoint['best_fid'] best_fid_checkpoint_path = checkpoint['best_fid_checkpoint_path'] return model, optimizer, seed, run_name, start_step, ada_p, best_step, best_fid, best_fid_checkpoint_path return model, optimizer, seed, run_name, start_step, ada_p

[ "wiwjp619@gmail.com" ]

wiwjp619@gmail.com

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/src/tools/ecos/cvxpy/examples/extensions/mixed_integer/integer.py

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riadnassiffe/Simulator

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2021-06-20T09:31:36.033427

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""" Copyright 2013 Steven Diamond This file is part of CVXPY. CVXPY is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. CVXPY is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with CVXPY. If not, see <http://www.gnu.org/licenses/>. """ from noncvx_variable import NonCvxVariable class IntVar(NonCvxVariable): """ An integer variable. """ # All values set rounded to the nearest integer. def _round(self, matrix): for i,v in enumerate(matrix): matrix[i] = round(v) return matrix # Constrain all entries to be the value in the matrix. def _fix(self, matrix): return [self == matrix]

[ "riad.nassiffe@gmail.com" ]

riad.nassiffe@gmail.com

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/venv/lib/python3.7/site-packages/patoolib/programs/unadf.py

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emmetaobrien/dats-validator

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refs/heads/master

2020-12-19T05:03:17.179117

2020-01-22T17:28:38

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# -*- coding: utf-8 -*- # Copyright (C) 2012-2015 Bastian Kleineidam # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. """Archive commands for the unadf program.""" def extract_adf (archive, compression, cmd, verbosity, interactive, outdir): """Extract an ADF archive.""" return [cmd, archive, '-d', outdir] def list_adf (archive, compression, cmd, verbosity, interactive): """List an ADF archive.""" return [cmd, '-l', archive] test_adf = list_adf

[ "giulia.ippoliti@mail.mcgill.ca" ]

giulia.ippoliti@mail.mcgill.ca

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/tensorflow_graphics/projects/radiance_fields/sharf/geometry_net/model.py

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tensorflow/graphics

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# Copyright 2020 The TensorFlow Authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://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. """Implementation of the geometry network.""" from absl import logging import tensorflow as tf import tensorflow_graphics.projects.radiance_fields.sharf.geometry_net.layers as geometry_layers import tensorflow_graphics.projects.radiance_fields.sharf.voxel_functions as voxel_functions class GeometryNetwork: """Network for generating voxels from latent codes.""" def __init__(self, num_latent_codes=4371, latent_code_dim=256, fc_channels=512, fc_activation='relu', conv_size=4, norm3d='batchnorm', bce_gamma=0.8, proj_weight=0.01, mirror_weight=1.0): self.num_latent_codes = num_latent_codes self.latent_code_dim = latent_code_dim self.fc_channels = fc_channels self.fc_activation = fc_activation self.conv_size = conv_size self.norm3d = norm3d self.model = None self.model_backup = None self.latent_code_vars = None self.network_vars = None self.global_step = None self.latest_epoch = None self.optimizer_network = None self.optimizer_latent = None self.checkpoint = None self.manager = None self.summary_writer = None self.bce_gamma = bce_gamma self.proj_weight = proj_weight self.mirror_weight = mirror_weight self.mask_voxels = voxel_functions.get_mask_voxels() def get_model(self): """Voxel GLO network.""" fc_channels = self.fc_channels norm3d = self.norm3d activation = self.fc_activation with tf.name_scope('Network/'): latent_code = tf.keras.layers.Input(shape=(self.latent_code_dim,)) with tf.name_scope('FC_layers'): fc0 = tf.keras.layers.Dense(fc_channels, activation=activation)(latent_code) fc1 = tf.keras.layers.Dense(fc_channels, activation=activation)(fc0) fc2 = tf.keras.layers.Dense(fc_channels, activation=activation)(fc1) fc2_as_volume = tf.keras.layers.Reshape((1, 1, 1, fc_channels))(fc2) with tf.name_scope('GLO_VoxelDecoder'): decoder_1 = geometry_layers.conv_t_block_3d(fc2_as_volume, num_filters=32, size=self.conv_size, strides=2, normalization=norm3d) # 2 decoder_2 = geometry_layers.conv_t_block_3d(decoder_1, num_filters=32, size=self.conv_size, strides=2, normalization=norm3d) # 4 decoder_3 = geometry_layers.conv_t_block_3d(decoder_2, num_filters=32, size=self.conv_size, strides=2, normalization=norm3d) # 8 decoder_4 = geometry_layers.conv_t_block_3d(decoder_3, num_filters=16, size=self.conv_size, strides=2, normalization=norm3d) # 16 decoder_5 = geometry_layers.conv_t_block_3d(decoder_4, num_filters=8, size=self.conv_size, strides=2, normalization=norm3d) # 32 decoder_6 = geometry_layers.conv_t_block_3d(decoder_5, num_filters=4, size=self.conv_size, strides=2, normalization=norm3d) # 64 volume_out = tf.keras.layers.Conv3DTranspose( 1, self.conv_size, strides=2, padding='same', kernel_initializer=tf.keras.initializers.glorot_normal(), use_bias=False)(decoder_6) # 128 return tf.keras.Model(inputs=[latent_code], outputs=[volume_out]) def init_model(self): """Initialize models and variables.""" self.model = self.get_model() self.model_backup = self.get_model() self.latest_epoch = tf.Variable(0, trainable=False, dtype=tf.int64) self.global_step = tf.Variable(0, trainable=False, dtype=tf.int64) init_latent_code = tf.random.normal((self.num_latent_codes, self.latent_code_dim)) self.latent_code_vars = tf.Variable(init_latent_code, trainable=True) self.network_vars = self.model.trainable_variables def init_optimizer(self, learning_rate_network=0.0001, learning_rate_codes=0.0001): """Initialize the optimizers with a scheduler.""" self.optimizer_network = tf.keras.optimizers.Adam( learning_rate=learning_rate_network) self.optimizer_latent = tf.keras.optimizers.Adam( learning_rate=learning_rate_codes) def init_checkpoint(self, checkpoint_dir, checkpoint=None): """Initialize the checkpoints.""" self.summary_writer = tf.summary.create_file_writer(checkpoint_dir) self.checkpoint = tf.train.Checkpoint( model=self.model, latent_code_var=self.latent_code_vars, optimizer_network=self.optimizer_network, optimizer_latent=self.optimizer_latent, epoch=self.latest_epoch, global_step=self.global_step) self.manager = tf.train.CheckpointManager(checkpoint=self.checkpoint, directory=checkpoint_dir, max_to_keep=2) self.load_checkpoint(checkpoint=checkpoint) def load_checkpoint(self, checkpoint=None): """Load checkpoints.""" if checkpoint is None: latest_checkpoint = self.manager.latest_checkpoint else: latest_checkpoint = checkpoint if latest_checkpoint is not None: logging.info('Checkpoint %s restored', latest_checkpoint) _ = self.checkpoint.restore(latest_checkpoint).expect_partial() for a, b in zip(self.model_backup.variables, self.model.variables): a.assign(b) else: logging.warning('No checkpoint was restored.') def reset_models(self): for a, b in zip(self.model.variables, self.model_backup.variables): a.assign(b)

[ "copybara-worker@google.com" ]

copybara-worker@google.com

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/2020-12/1143. 最长公共子序列.py

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[]

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baolibin/leetcode

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refs/heads/master

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# coding:utf-8 ''' 1143. 最长公共子序列给定两个字符串 text1 和 text2，返回这两个字符串的最长公共子序列的长度。一个字符串的子序列是指这样一个新的字符串：它是由原字符串在不改变字符的相对顺序的情况下删除某些字符（也可以不删除任何字符）后组成的新字符串。例如，"ace" 是 "abcde" 的子序列，但 "aec" 不是 "abcde" 的子序列。两个字符串的「公共子序列」是这两个字符串所共同拥有的子序列。若这两个字符串没有公共子序列，则返回 0。示例 1: 输入：text1 = "abcde", text2 = "ace" 输出：3 解释：最长公共子序列是 "ace"，它的长度为 3。示例 2: 输入：text1 = "abc", text2 = "abc" 输出：3 解释：最长公共子序列是 "abc"，它的长度为 3。示例 3: 输入：text1 = "abc", text2 = "def" 输出：0 解释：两个字符串没有公共子序列，返回 0。提示: 1 <= text1.length <= 1000 1 <= text2.length <= 1000 输入的字符串只含有小写英文字符。 ''' class Solution: def longestCommonSubsequence(self, text1: str, text2: str) -> int: m, n = len(text1), len(text2) # 构建 DP table 和 base case dp = [[0] * (n + 1) for _ in range(m + 1)] # 进行状态转移 for i in range(1, m + 1): for j in range(1, n + 1): if text1[i - 1] == text2[j - 1]: # 找到一个 lcs 中的字符 dp[i][j] = 1 + dp[i - 1][j - 1] else: dp[i][j] = max(dp[i - 1][j], dp[i][j - 1]) return dp[-1][-1] ''' 讲解可以参考这个： https://leetcode-cn.com/problems/longest-common-subsequence/solution/dong-tai-gui-hua-zhi-zui-chang-gong-gong-zi-xu-lie/ https://leetcode-cn.com/problems/longest-common-subsequence/solution/dong-tai-gui-hua-tu-wen-jie-xi-by-yijiaoqian/ 方法：最长公共子序列（Longest Common Subsequence，简称 LCS）是一道非常经典的面试题目，因为它的解法是典型的二维动态规划，大部分比较困难的字符串问题都和这个问题一个套路，比如说编辑距离。而且，这个算法稍加改造就可以用于解决其他问题，所以说 LCS 算法是值得掌握的。动态规划算法做的就是穷举+剪枝，它俩天生一对，所以可以说只要涉及子序列问题，十有八九都需要动态规划来解决 '''

[ "yangfengling@inttech.cn" ]

yangfengling@inttech.cn

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[]

no_license

SimeonYS/ceska

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import re import scrapy from scrapy.loader import ItemLoader from ..items import CeskaItem from itemloaders.processors import TakeFirst pattern = r'(\xa0)?' base = 'https://www.cnb.cz/system/modules/org.opencms.apollo/elements/list-ajax.jsp?contentpath=/cs/.content/lists/l_00014.xml&instanceId=li_793d48a5&elementId=le_3f676017&sitepath=/cs/cnb-news/aktuality/&subsite=/sites/cnb/cs/&__locale=cs&loc=cs&option=append&hideOptions=true&reloaded&sort=priority_d&page={}' class CeskaSpider(scrapy.Spider): name = 'ceska' page = 1 start_urls = [base.format(page)] def parse(self, response): articles = response.xpath('//div[@class="teaser "]') for article in articles: date = ''.join(article.xpath('.//div[@class="date"]/text()').get().split()) post_links = article.xpath('.//h2/a/@href').get() try: if not 'pdf' in post_links: yield response.follow(post_links, self.parse_post, cb_kwargs=dict(date=date)) except TypeError: print("Article not available") if response.xpath('//h2/a').get(): self.page += 1 yield response.follow(base.format(self.page), self.parse) def parse_post(self, response, date): title = response.xpath('//h1/text()').get() content = response.xpath('//div[@class="text"]//text() | //div[@class="block news"]/div/p//text() | //main//div[@class="ap-section "]//text()[not (ancestor::div[@class="ap-panel panel-group"])] | //table//text() | //div//em//text()|//div[@class="boarddecision-record"]/div//following-sibling::p|//div[@class="block vlog"]/div//text()').getall() content = [p.strip() for p in content if p.strip()] content = re.sub(pattern, "",' '.join(content)) item = ItemLoader(item=CeskaItem(), response=response) item.default_output_processor = TakeFirst() item.add_value('title', title) item.add_value('link', response.url) item.add_value('content', content) item.add_value('date', date) yield item.load_item()

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import sys sys.path.append('..') from Decorators import * from Types.AbstractAngleType import * class CrossBondAngleAngleType(AbstractAngleType): @accepts_compatible_units(None, None, None, None, units.nanometers, units.nanometers, units.nanometers, units.kilojoules_per_mole * units.nanometers**(-2)) def __init__(self, atom1, atom2, atom3, type, r1, r2, r3, k): AbstractAngleType.__init__(self, atom1, atom2, atom3, type) self.r1 = r1 self.r2 = r2 self.r3 = r3 self.k = k

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

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# Copyright (c) OpenMMLab. All rights reserved. import numpy as np import pytest import torch from mmcv.ops import (RoIAwarePool3d, points_in_boxes_all, points_in_boxes_cpu, points_in_boxes_part) @pytest.mark.skipif( not torch.cuda.is_available(), reason='requires CUDA support') def test_RoIAwarePool3d(): roiaware_pool3d_max = RoIAwarePool3d( out_size=4, max_pts_per_voxel=128, mode='max') roiaware_pool3d_avg = RoIAwarePool3d( out_size=4, max_pts_per_voxel=128, mode='avg') rois = torch.tensor( [[1.0, 2.0, 3.0, 5.0, 4.0, 6.0, -0.3 - np.pi / 2], [-10.0, 23.0, 16.0, 20.0, 10.0, 20.0, -0.5 - np.pi / 2]], dtype=torch.float32).cuda( ) # boxes (m, 7) with bottom center in lidar coordinate pts = torch.tensor( [[1, 2, 3.3], [1.2, 2.5, 3.0], [0.8, 2.1, 3.5], [1.6, 2.6, 3.6], [0.8, 1.2, 3.9], [-9.2, 21.0, 18.2], [3.8, 7.9, 6.3], [4.7, 3.5, -12.2], [3.8, 7.6, -2], [-10.6, -12.9, -20], [-16, -18, 9], [-21.3, -52, -5], [0, 0, 0], [6, 7, 8], [-2, -3, -4]], dtype=torch.float32).cuda() # points (n, 3) in lidar coordinate pts_feature = pts.clone() pooled_features_max = roiaware_pool3d_max( rois=rois, pts=pts, pts_feature=pts_feature) assert pooled_features_max.shape == torch.Size([2, 4, 4, 4, 3]) assert torch.allclose(pooled_features_max.sum(), torch.tensor(51.100).cuda(), 1e-3) pooled_features_avg = roiaware_pool3d_avg( rois=rois, pts=pts, pts_feature=pts_feature) assert pooled_features_avg.shape == torch.Size([2, 4, 4, 4, 3]) assert torch.allclose(pooled_features_avg.sum(), torch.tensor(49.750).cuda(), 1e-3) @pytest.mark.skipif( not torch.cuda.is_available(), reason='requires CUDA support') def test_points_in_boxes_part(): boxes = torch.tensor( [[[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.3]], [[-10.0, 23.0, 16.0, 10, 20, 20, 0.5]]], dtype=torch.float32).cuda( ) # boxes (b, t, 7) with bottom center in lidar coordinate pts = torch.tensor( [[[1, 2, 3.3], [1.2, 2.5, 3.0], [0.8, 2.1, 3.5], [1.6, 2.6, 3.6], [0.8, 1.2, 3.9], [-9.2, 21.0, 18.2], [3.8, 7.9, 6.3], [4.7, 3.5, -12.2]], [[3.8, 7.6, -2], [-10.6, -12.9, -20], [-16, -18, 9], [-21.3, -52, -5], [0, 0, 0], [6, 7, 8], [-2, -3, -4], [6, 4, 9]]], dtype=torch.float32).cuda() # points (b, m, 3) in lidar coordinate point_indices = points_in_boxes_part(points=pts, boxes=boxes) expected_point_indices = torch.tensor( [[0, 0, 0, 0, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1]], dtype=torch.int32).cuda() assert point_indices.shape == torch.Size([2, 8]) assert (point_indices == expected_point_indices).all() boxes = torch.tensor([[[0.0, 0.0, 0.0, 1.0, 20.0, 1.0, 0.523598]]], dtype=torch.float32).cuda() # 30 degrees pts = torch.tensor( [[[4, 6.928, 0], [6.928, 4, 0], [4, -6.928, 0], [6.928, -4, 0], [-4, 6.928, 0], [-6.928, 4, 0], [-4, -6.928, 0], [-6.928, -4, 0]]], dtype=torch.float32).cuda() point_indices = points_in_boxes_part(points=pts, boxes=boxes) expected_point_indices = torch.tensor([[-1, -1, 0, -1, 0, -1, -1, -1]], dtype=torch.int32).cuda() assert (point_indices == expected_point_indices).all() def test_points_in_boxes_cpu(): boxes = torch.tensor( [[[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.3], [-10.0, 23.0, 16.0, 10, 20, 20, 0.5]]], dtype=torch.float32 ) # boxes (m, 7) with bottom center in lidar coordinate pts = torch.tensor( [[[1, 2, 3.3], [1.2, 2.5, 3.0], [0.8, 2.1, 3.5], [1.6, 2.6, 3.6], [0.8, 1.2, 3.9], [-9.2, 21.0, 18.2], [3.8, 7.9, 6.3], [4.7, 3.5, -12.2], [3.8, 7.6, -2], [-10.6, -12.9, -20], [ -16, -18, 9 ], [-21.3, -52, -5], [0, 0, 0], [6, 7, 8], [-2, -3, -4]]], dtype=torch.float32) # points (n, 3) in lidar coordinate point_indices = points_in_boxes_cpu(points=pts, boxes=boxes) expected_point_indices = torch.tensor( [[[1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [0, 1], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0]]], dtype=torch.int32) assert point_indices.shape == torch.Size([1, 15, 2]) assert (point_indices == expected_point_indices).all() boxes = torch.tensor([[[0.0, 0.0, 0.0, 1.0, 20.0, 1.0, 0.523598]]], dtype=torch.float32) # 30 degrees pts = torch.tensor( [[[4, 6.928, 0], [6.928, 4, 0], [4, -6.928, 0], [6.928, -4, 0], [-4, 6.928, 0], [-6.928, 4, 0], [-4, -6.928, 0], [-6.928, -4, 0]]], dtype=torch.float32) point_indices = points_in_boxes_cpu(points=pts, boxes=boxes) expected_point_indices = torch.tensor( [[[0], [0], [1], [0], [1], [0], [0], [0]]], dtype=torch.int32) assert (point_indices == expected_point_indices).all() @pytest.mark.skipif( not torch.cuda.is_available(), reason='requires CUDA support') def test_points_in_boxes_all(): boxes = torch.tensor( [[[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.3], [-10.0, 23.0, 16.0, 10, 20, 20, 0.5]]], dtype=torch.float32).cuda( ) # boxes (m, 7) with bottom center in lidar coordinate pts = torch.tensor( [[[1, 2, 3.3], [1.2, 2.5, 3.0], [0.8, 2.1, 3.5], [1.6, 2.6, 3.6], [0.8, 1.2, 3.9], [-9.2, 21.0, 18.2], [3.8, 7.9, 6.3], [4.7, 3.5, -12.2], [3.8, 7.6, -2], [-10.6, -12.9, -20], [ -16, -18, 9 ], [-21.3, -52, -5], [0, 0, 0], [6, 7, 8], [-2, -3, -4]]], dtype=torch.float32).cuda() # points (n, 3) in lidar coordinate point_indices = points_in_boxes_all(points=pts, boxes=boxes) expected_point_indices = torch.tensor( [[[1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [0, 1], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0]]], dtype=torch.int32).cuda() assert point_indices.shape == torch.Size([1, 15, 2]) assert (point_indices == expected_point_indices).all()

[ "2392587229zsl@gmail.com" ]

2392587229zsl@gmail.com

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JakeAttard/2810ICTPythonExercises

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from PyTest import * ##//////////////////////////// PROBLEM STATEMENT ////////////////////////// ## Given a list of ints, decide which is larger of the first and // ## last elements in the list, and set all the other elements to be that // ## that value. Print the changed list. Implement functions for: // ## - reading the list // ## - finding the maximum of 2 integers // ## - setting all elements of a list to a single value // ## - printing a list // ## 1, 2, 3 -> 3, 3, 3 // ## 11, 5, 9 -> 11, 11, 11 // ## 2, 11, 3 -> 3, 3, 3 // ##/////////////////////////////////////////////////////////////////////////

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/openconfig_bindings/bgp/neighbors/neighbor/afi_safis/afi_safi/l2vpn_evpn/prefix_limit/__init__.py

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from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from decimal import Decimal from bitarray import bitarray import config import state class prefix_limit(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-bgp - based on the path /bgp/neighbors/neighbor/afi-safis/afi-safi/l2vpn-evpn/prefix-limit. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Configure the maximum number of prefixes that will be accepted from a peer """ __slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_extmethods', '__config','__state',) _yang_name = 'prefix-limit' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): helper = kwargs.pop("path_helper", None) if helper is False: self._path_helper = False elif helper is not None and isinstance(helper, xpathhelper.YANGPathHelper): self._path_helper = helper elif hasattr(self, "_parent"): helper = getattr(self._parent, "_path_helper", False) self._path_helper = helper else: self._path_helper = False self._extmethods = False self.__state = YANGDynClass(base=state.state, is_container='container', yang_name="state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/bgp', defining_module='openconfig-bgp', yang_type='container', is_config=True) self.__config = YANGDynClass(base=config.config, is_container='container', yang_name="config", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/bgp', defining_module='openconfig-bgp', yang_type='container', is_config=True) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [u'bgp', u'neighbors', u'neighbor', u'afi-safis', u'afi-safi', u'l2vpn-evpn', u'prefix-limit'] def _get_config(self): """ Getter method for config, mapped from YANG variable /bgp/neighbors/neighbor/afi_safis/afi_safi/l2vpn_evpn/prefix_limit/config (container) YANG Description: Configuration parameters relating to the prefix limit for the AFI-SAFI """ return self.__config def _set_config(self, v, load=False): """ Setter method for config, mapped from YANG variable /bgp/neighbors/neighbor/afi_safis/afi_safi/l2vpn_evpn/prefix_limit/config (container) If this variable is read-only (config: false) in the source YANG file, then _set_config is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_config() directly. YANG Description: Configuration parameters relating to the prefix limit for the AFI-SAFI """ try: t = YANGDynClass(v,base=config.config, is_container='container', yang_name="config", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/bgp', defining_module='openconfig-bgp', yang_type='container', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """config must be of a type compatible with container""", 'defined-type': "container", 'generated-type': """YANGDynClass(base=config.config, is_container='container', yang_name="config", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/bgp', defining_module='openconfig-bgp', yang_type='container', is_config=True)""", }) self.__config = t if hasattr(self, '_set'): self._set() def _unset_config(self): self.__config = YANGDynClass(base=config.config, is_container='container', yang_name="config", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/bgp', defining_module='openconfig-bgp', yang_type='container', is_config=True) def _get_state(self): """ Getter method for state, mapped from YANG variable /bgp/neighbors/neighbor/afi_safis/afi_safi/l2vpn_evpn/prefix_limit/state (container) YANG Description: State information relating to the prefix-limit for the AFI-SAFI """ return self.__state def _set_state(self, v, load=False): """ Setter method for state, mapped from YANG variable /bgp/neighbors/neighbor/afi_safis/afi_safi/l2vpn_evpn/prefix_limit/state (container) If this variable is read-only (config: false) in the source YANG file, then _set_state is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_state() directly. YANG Description: State information relating to the prefix-limit for the AFI-SAFI """ try: t = YANGDynClass(v,base=state.state, is_container='container', yang_name="state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/bgp', defining_module='openconfig-bgp', yang_type='container', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """state must be of a type compatible with container""", 'defined-type': "container", 'generated-type': """YANGDynClass(base=state.state, is_container='container', yang_name="state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/bgp', defining_module='openconfig-bgp', yang_type='container', is_config=True)""", }) self.__state = t if hasattr(self, '_set'): self._set() def _unset_state(self): self.__state = YANGDynClass(base=state.state, is_container='container', yang_name="state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/bgp', defining_module='openconfig-bgp', yang_type='container', is_config=True) config = property(_get_config, _set_config) state = property(_get_state, _set_state) _pyangbind_elements = {'config': config, 'state': state, }

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#!/usr/bin/env python import sys from collections import defaultdict from compiler import compile from inheritance import Family import sqlalchemy as sql import database from gemini_constants import * import GeminiQuery from functools import wraps def compile_decorator(f): """decorator to automatically compile the eval strings returned from the filter methods""" @wraps(f) def wrapper(*args, **kwargs): query_string = f(*args, **kwargs) if query_string == "False" or query_string == {"any": "False"}: return None if not isinstance(query_string, dict): return compile(query_string, "<string>", "eval") query_dict = query_string for k, stmt in query_dict.iteritems(): query_dict[k] = compile(stmt, "<string>", "eval") return query_dict return wrapper def get_phred_query(sample_id, gt_ll, genotype, prefix=" and ", invert=False): """Default is to test < where a low value phred-scale is high confidence for that genotype >>> get_phred_query(2, 22, "het") ' and gt_phred_ll_het[1] < 22' >>> get_phred_query(2, 22, "het", prefix="") 'gt_phred_ll_het[1] < 22' >>> get_phred_query(2, 22, "het", prefix="", invert=True) 'gt_phred_ll_het[1] > 22' """ assert genotype in ("het", "homref", "homalt") if not gt_ll: return "" # they passed in the subject: if hasattr(sample_id, "sample_id"): sample_id = sample_id.sample_id sign = ["<", ">"][int(invert)] s = "gt_phred_ll_{genotype}[{sample_id}] {sign} {gt_ll}"\ .format(sample_id=sample_id-1, genotype=genotype, gt_ll=gt_ll, sign=sign) return prefix + s class Subject(object): """ Describe a single subject in the the samples table. """ def __init__(self, row): self._set_fields_from_row(row) def __repr__(self): return "\t".join(map(str, [self.name, self.paternal_id, self.maternal_id, self.phenotype])) def set_father(self): self.father = True def set_mother(self): self.mother = True def _set_fields_from_row(self, row): self.__dict__.update(row) #for k, v in zip(row.keys(), row): # self.__dict__[k] = v self.phenotype = int(self.phenotype) if self._has_phenotype() else None self._set_affected_status() def _has_phenotype(self): if hasattr(self, 'phenotype') and self.phenotype is not None: return True def _set_affected_status(self): # 1 = unaffected # 2 = affected # 0 or -9 is unknown. # http://pngu.mgh.harvard.edu/~purcell/plink/data.shtml#ped pheno = str(self.phenotype) if pheno == "2": self.affected = True elif pheno == "1": self.affected = False # distinguish unknown from known to be unaffected. else: self.affected = None def get_families(db, selected_families=None): """ Query the samples table to return a list of Family objects that each contain all of the Subjects in a Family. """ conn, metadata = database.get_session_metadata(db) families_dict = Family.from_cursor(conn) # if the user has specified a set of selected families # to which the analysis should be restricted, then # first sanity check that the family ids they specified are valid. if selected_families is not None: for family in selected_families.split(','): if family not in families_dict: sys.exit("ERROR: family \"%s\" is not a valid family_id\n" % family) families = [] for fam in families_dict: if selected_families is None or fam in selected_families: families.append(families_dict[fam]) return families def get_family_dict(args): families = defaultdict(list) subjects = get_subjects(args) for subject in subjects.values(): families[subject.family_id].append(subject) return families def get_subjects(args, skip_filter=False): """ return a dictionary of subjects, optionally using the subjects_query argument to filter them. """ gq = GeminiQuery.GeminiQuery(args.db) #query = "SELECT * FROM samples" query = "" if not skip_filter: if hasattr(args, 'sample_filter') and args.sample_filter: query += args.sample_filter res = gq.metadata.tables["samples"].select().where(sql.text(query)).execute() samples_dict = {} for row in res: subject = Subject(row) samples_dict[subject.name] = subject return samples_dict def get_subjects_in_family(args, family): subjects = get_subjects(args) family_names = [f.name for f in family] subject_dict = {} for subject in subjects: if subject in family_names: subject_dict[subject] = subjects[subject] return subject_dict if __name__ == "__main__": import doctest doctest.testmod()

[ "rares.begu@gmail.com" ]

rares.begu@gmail.com

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/log_entries/core/test/test_models.py

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lffsantos/demo_django_rest_framework

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f8eb5d23187a7de83254b2ff15f18135312d8d64

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2021-01-21T10:46:26.734931

2017-03-08T02:35:42

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from datetime import datetime from django.contrib.auth.models import User from django.test import TestCase from log_entries.core.models import Category, Event class CategoryModelTest(TestCase): def setUp(self): self.category = Category.objects.create(name='Category Name') def test_create(self): self.assertTrue(Category.objects.exists()) class EventModelTest(TestCase): def setUp(self): self.user = User.objects.create(username='lffsantos', password='test', email='lffsantos@gmail.com') self.category = Category.objects.create(name='Category Name') self.event = Event.objects.create( start_date=datetime.now(), note='small note', category=self.category, user=self.user ) def test_create(self): self.assertTrue(Category.objects.exists())

[ "lffsantos@gmail.com" ]

lffsantos@gmail.com

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/unittests/test_taskbar.py

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[]

no_license

myluco/Phoenix

68f9abe15a673fe56da6ef4375849ba6a642622d

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refs/heads/master

2021-01-18T15:59:05.001240

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import unittest from unittests import wtc import wx import wx.adv import os icoFile = os.path.join(os.path.dirname(__file__), 'mondrian.ico') #--------------------------------------------------------------------------- class taskbar_Tests(wtc.WidgetTestCase): def test_taskbar1(self): icon = wx.adv.TaskBarIcon(wx.adv.TBI_DOCK) icon.SetIcon(wx.Icon(icoFile), "The tip string") self.assertTrue(icon.IsOk()) icon.Destroy() self.myYield() def test_taskbar2(self): wx.adv.TBI_DOCK wx.adv.TBI_CUSTOM_STATUSITEM wx.adv.TBI_DEFAULT_TYPE wx.adv.TaskBarIconEvent wx.adv.wxEVT_TASKBAR_MOVE wx.adv.wxEVT_TASKBAR_LEFT_DOWN wx.adv.wxEVT_TASKBAR_LEFT_UP wx.adv.wxEVT_TASKBAR_RIGHT_DOWN wx.adv.wxEVT_TASKBAR_RIGHT_UP wx.adv.wxEVT_TASKBAR_LEFT_DCLICK wx.adv.wxEVT_TASKBAR_RIGHT_DCLICK wx.adv.wxEVT_TASKBAR_CLICK wx.adv.wxEVT_TASKBAR_BALLOON_TIMEOUT wx.adv.wxEVT_TASKBAR_BALLOON_CLICK #--------------------------------------------------------------------------- if __name__ == '__main__': unittest.main()

[ "robin@alldunn.com" ]

robin@alldunn.com

8d9aa0ed19ba794ae0ed1f5ff5699dc0c7a128fc

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/프로그래머스/프로그래머스/seungjun/더맵게.py

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[]

no_license

tmdwns1101/AlgorithmStudy

0abc108a7a73895934da2633998c7a90137d49ea

e8ca069e202f40e074b7311626fe8da8af057589

refs/heads/master

2021-07-22T11:32:30.817108

2020-05-20T16:28:27

165,377,838

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2020-02-07T07:56:16

2019-01-12T11:02:59

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UTF-8

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521

py

import heapq def more_spicy(scoville, K): ans = 0 heapq.heapify(scoville) print(scoville) while True: first_low = heapq.heappop(scoville) if first_low >= K: break ans += 1 if len(scoville) < 1: ans = -1 break second_low = heapq.heappop(scoville) new_scoville = first_low + (second_low *2) heapq.heappush(scoville, new_scoville) return ans res = more_spicy([1, 12, 3, 9, 10, 2], 7) print(res)

[ "tmdwns1101@naver.com" ]

tmdwns1101@naver.com

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/second_phase/ex02_Greedy.py

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permissive

kapuni/exercise_py

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refs/heads/master

2020-06-24T00:56:20.566689

2019-09-28T02:22:44

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""" 贪婪法：在对问题求解时，总是做出在当前看来是最好的选择，不追求最优解，快速找到满意解。输入： 20 6 电脑 200 20 收音机 20 4 钟 175 10 花瓶 50 2 书 10 1 油画 90 9 """ class Thing(object): """物品""" def __init__(self, name, price, weight): self.name = name self.price = price self.weight = weight @property def value(self): """价格重量比""" return self.price / self.weight def input_thing(): """输入物品信息""" name_str, price_str, weight_str = input().split() return name_str, int(price_str), int(weight_str) def main(): """主函数""" max_weight, num_of_things = map(int, input().split()) all_things = [] for _ in range(num_of_things): all_things.append(Thing(*input_thing())) all_things.sort(key=lambda x: x.value, reverse=True) total_weight = 0 total_price = 0 for thing in all_things: if total_weight + thing.weight <= max_weight: print(f'小偷拿走了{thing.name}') total_weight += thing.weight total_price += thing.price print(f'总价值: {total_price}美元') if __name__ == '__main__': main()

[ "910048757@qq.com" ]

910048757@qq.com

727ffe3c5be6860e52c9b43e1c5b8da8a1c06e48

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/scrapy/PycharmProjects/Reptile/ven/renrenche.py

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[]

no_license

umsung/scrapy

4eb56bf74f3e617e49dcdec61cf77010eb912f4f

deacd9f289159c5af114b0dd3110448ad7eb43e8

refs/heads/master

2020-05-31T14:11:46.530793

2019-10-16T01:32:25

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6,628

py

# -*- coding: utf-8 -*- import scrapy import re from fontTools.ttLib import TTFont import requests class RenrencheSpider(scrapy.Spider): name = 'renrenche' start_urls = ['https://www.renrenche.com/gz/ershouche/?&plog_id=bd49e5ed507aebb8599cdde8188a3eef'] def start_requests(self): # for i in range(1, 5, 1): # self.start_urls.append( # 'https://www.renrenche.com/gz/ershouche/p{}/?&plog_id=79d79d263044559732d687b64c258ab4'.format(i)) for url in self.start_urls: yield scrapy.Request(url=url, callback=self.parse) def parse(self, response): """ https://www.renrenche.com/gz/ershouche/p1/?&plog_id=79d79d263044559732d687b64c258ab4 初步看了下，从列表页到内容页，并没有用ajax加载数据，只需要用xpath提取元素字段即可。打开源代码会发现，原来TM有“投毒”，源代码数据与显示数据不一致，看来这也是一种反爬措施 """ # html = response.body.decode('utf-8') # select = etree.HTML(html) # style = select.xpath('//style/text()')[0] # # url('https://misc.rrcimg.com/ttf/rrcttf86293b76594a1bf9ace9fd979b62db63.woff') format('woff') # font_url = re.search(r"url$'(.*?\.woff)'$ format$'woff'$,", str(style)).group(1) # 获取字体url font_url = re.findall('(https://misc.rrcimg.com.*\.ttf)', response.body.decode('utf-8'))[0] # 字体文件下载 with open('人人车.ttf', 'wb') as f: f.write(requests.get(font_url).content) font_dict = font_name('人人车.ttf') node_list = response.xpath('//*[@id="search_list_wrapper"]/div/div/div[1]/ul//li') for node in node_list: item = {} # 车的名字 item['car_name'] = node.xpath('./a/h3/text()').extract_first('') item['car_name'] = base_font(font_dict, item['car_name']), response.url # 车的信息 item['car_info'] = node.xpath('./a/div[2]/span').xpath('string(.)').extract_first('') item['car_info'] = re.sub('\s', '', item['car_info']) item['car_info'] = base_font(font_dict, item['car_info']), response.url # 车的价格 item['car_price'] = node.xpath('./a/div[4]/div/text()').extract_first('') item['car_price'] = re.sub('\s', '', item['car_price']) # 首付金额 item['car_down_payment'] = node.xpath('./a/div[4]//div[@class="m-l"]/text()').extract_first('') # 链接 item['car_link'] = node.xpath('./a/@href').extract_first('') item['car_link'] = response.urljoin(item['car_link']) yield scrapy.Request(url=item['car_link'], callback=self.parse_item, meta={'item': item}) next_pages = response.xpath('//ul[@class="pagination js-pagination"]/li[last()]/a/@href').extract_first('') next_pages = response.urljoin(next_pages) yield scrapy.Request(url=next_pages, callback=self.parse) def parse_item(self, response): item = response.meta['item'] # 新车购置税 item['car_tax'] = response.xpath('//div[@class="middle-content"]/div/div').xpath('string(.)').extract_first('') item['car_tax'] = re.sub('\s', '', item['car_tax']) # 购买方式 item['car_method'] = response.xpath('//div[@class="list payment-list"]/p[1]/text()').extract_first('') # 首付金额 item['car_payment'] = response.xpath('//div[@class="list payment-list"]/p[2]/text()').extract_first('') # 月供金额 item['car_month'] = response.xpath('//div[@class="list payment-list"]/p[3]/text()').extract_first('') # 服务费 item['car_fee'] = response.xpath('//div[@class="detail-version3-service"]/p[2]').xpath( 'string(.)').extract_first('') item['car_fee'] = re.sub('\s', '', item['car_fee']) # 车牌所在地 item['car_location'] = response.xpath('//div[@class="licensed-city"]/p/strong/text()').extract_first('') # 外迁查询 item['car_find'] = response.xpath('//li[@class="span5 car-fluid-standard"]/div/p/strong/text()').extract_first( '') # # 车辆到期时间 # item['car_annual'] = response.xpath('//div[@class="info-about-car"]/div/ul/li[2]/text()').extract_first('') # item['car_annual'] = re.sub('\s', '', item['car_annual']) # # 商业险到期时间 # item['car_insurance'] = response.xpath('//div[@class="info-about-car"]/div/ul/li[4]/text()').extract_first( # default='') # item['car_insurance'] = re.sub('\s', '', item['car_insurance']) # # 有无发票 # item['car_invoice'] = response.xpath('//div[@class="info-about-car"]/div/ul/li[6]/text()').extract_first( # default='') # item['car_invoice'] = re.sub('\s', '', item['car_invoice']) # # 是否保养 # item['car_maintenance'] = response.xpath('//div[@class="info-about-car"]/div/ul/li[8]/text()').extract_first( # default='') # item['car_maintenance'] = re.sub('\s', '', item['car_maintenance']) yield item def font_name(name): ''' 通过手敲的映射关系,解析字体文件 ''' number_map = {'eight': '8', 'five': '5', 'one': '1', 'nine': '9', 'period': '?', 'three': '3', 'six': '6', 'two': '2', 'seven': '7', 'four': '4', 'zero': '0'} # 下载下来的font文件 font = TTFont(name) num = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'] # 取出来font文件中的zero到nine,从第一个开始 font_num = font.getGlyphOrder()[1:] # print('--------------',font_num) # ['zero', 'one', 'two', 'three', 'four', 'five', 'seven', 'eight', 'six', 'nine'] dic_font = dict(zip(num, font_num)) # print('**************',dic_font) # {'0': 'zero', '1': 'one', '2': 'two', '3': 'three', '4': 'four', '5': 'five', '6': 'seven', '7': 'eight', '8': 'six', '9': 'nine'} dict_num = {} for k, v in dic_font.items(): for x, y in number_map.items(): if dic_font[k] == x: dict_num[y] = k return dict_num def base_font(dict, base_str): ''' 对照字典,解码字符串 :param dict: :param base_str: :return: ''' str_lis = [] num_lis = list(dict.keys()) for i in base_str: if i in num_lis: i = dict[i] str_lis.append(i) else: i = i str_lis.append(i) str_ = ''.join(str_lis) return str_

[ "545699233@qq.com" ]

545699233@qq.com

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/utils/__init__.py

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[ "MIT" ]

permissive

corenel/lintcode

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2020-04-24T04:11:16.034144

2019-03-30T05:33:48

171,694,555

1

0

null

UTF-8

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py

from .linked_list import ListNode, DListNode, LinkedList from .binary_tree import TreeNode, BinaryTree __all__ = ( ListNode, DListNode, LinkedList, TreeNode, BinaryTree )

[ "xxdsox@gmail.com" ]

xxdsox@gmail.com

9d3bdd21b443a2196b748c9140a0d1065a874532

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/smartlink2/base/management/commands/load_initial_data.py

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[ "Apache-2.0" ]

permissive

quanpower/smartlink2

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051d4a1b63de7885f47d141d37f1dd8e667bc977

refs/heads/master

2020-03-12T03:54:57.119170

2018-05-16T07:49:18

130,433,872

0

null

UTF-8

Python

false

999

py

import os from django.conf import settings from django.core.management.base import BaseCommand from django.core.management import call_command from wagtail.core.models import Site, Page class Command(BaseCommand): def handle(self, **options): fixtures_dir = os.path.join(settings.BASE_DIR, 'base', 'fixtures') fixture_file = os.path.join(fixtures_dir, 'smartlink2.json') # Wagtail creates default Site and Page instances during install, but we already have # them in the data load. Remove the auto-generated ones. if Site.objects.filter(hostname='localhost').exists(): Site.objects.get(hostname='localhost').delete() if Page.objects.filter(title='Welcome to your new Wagtail site!').exists(): Page.objects.get(title='Welcome to your new Wagtail site!').delete() call_command('loaddata', fixture_file, verbosity=0) print("Awesome. Your data is loaded! The bakery's doors are almost ready to open...")

[ "quanpower@gmail.com" ]

quanpower@gmail.com

c8b517029204f44f4f96df1948befb308303c2a2

7b3711d4c6d7284255ba0270d49d120f984bf7c6

/problems/993_cousins_in_binary_tree.py

5f16f8c11d24961eae2193364d16e0279402ba9f

[]

no_license

loganyu/leetcode

2d336f30feb55379aaf8bf0273d00e11414e31df

77c206305dd5cde0a249365ce7591a644effabfc

refs/heads/master

2023-08-18T09:43:10.124687

2023-08-18T00:44:51

177,875,222

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null

UTF-8

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false

1,844

py

''' In a binary tree, the root node is at depth 0, and children of each depth k node are at depth k+1. Two nodes of a binary tree are cousins if they have the same depth, but have different parents. We are given the root of a binary tree with unique values, and the values x and y of two different nodes in the tree. Return true if and only if the nodes corresponding to the values x and y are cousins. Example 1: Input: root = [1,2,3,4], x = 4, y = 3 Output: false Example 2: Input: root = [1,2,3,null,4,null,5], x = 5, y = 4 Output: true Example 3: Input: root = [1,2,3,null,4], x = 2, y = 3 Output: false Note: The number of nodes in the tree will be between 2 and 100. Each node has a unique integer value from 1 to 100. ''' # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def isCousins(self, root: TreeNode, x: int, y: int) -> bool: x_found = False y_found = False queue = collections.deque([root]) while queue: for _ in range(len(queue)): node = queue.popleft() if node.val == x: x_found = True elif node.val == y: y_found = True if node.left and node.right: if node.left.val == x and node.right.val == y: return False elif node.left.val == y and node.right.val == x: return False if node.left: queue.append(node.left) if node.right: queue.append(node.right) if x_found or y_found: return x_found and y_found return False

[ "yu.logan@gmail.com" ]

yu.logan@gmail.com

137f03b89a24f65eb9a523a4f90a4cc5e1d107ba

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/easy/Remove Duplicates from Sorted List/solution.py

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[ "MIT" ]

permissive

vishsanghishetty/LC-Python

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refs/heads/main

2023-07-19T00:08:50.813224

2021-09-14T15:32:09

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# Time complexity: O(n) # Approach: Two pointer Solution # Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution: def deleteDuplicates(self, head: Optional[ListNode]) -> Optional[ListNode]: nHead = ListNode(-1) nHead.next = head tmp, tmp2 = nHead.next, nHead.next while tmp and tmp2: while tmp and tmp2 and tmp.val==tmp2.val: tmp2 = tmp2.next tmp.next = tmp2 tmp = tmp.next return nHead.next

[ "ashutoshhathidara98@gmail.com" ]

ashutoshhathidara98@gmail.com

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/conf.py

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Rgveda/QUANTAXIS

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refs/heads/master

2021-06-20T21:49:59.500785

2021-01-29T03:52:51

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7

MIT

2020-02-26T15:24:55

2019-03-24T14:26:17

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py

# -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/stable/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # import sphinx_rtd_theme import os import sys import QUANTAXIS as QA # sys.path.insert(0, os.path.abspath('.')) # -- Project information ----------------------------------------------------- sys.path.insert(0, os.path.abspath('QUANTAXIS')) project = 'QUANTAXIS' copyright = '2018, yutiansut' author = 'yutiansut' # The short X.Y version version = QA.__version__ # The full version, including alpha/beta/rc tags release = QA.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.intersphinx', 'sphinx.ext.todo', 'sphinx.ext.mathjax', 'sphinx.ext.ifconfig', 'sphinx.ext.viewcode', 'sphinx.ext.githubpages', #'sphinx_automodapi.automodapi' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The master toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = 'python' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path . exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = 'alabaster' #html_theme = "sphinx_rtd_theme" html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'QUANTAXISdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'QUANTAXIS.tex', 'QUANTAXIS Documentation', 'yutiansut', 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'quantaxis', 'QUANTAXIS Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'QUANTAXIS', 'QUANTAXIS Documentation', author, 'QUANTAXIS', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project epub_author = author epub_publisher = author epub_copyright = copyright # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # -- Options for intersphinx extension --------------------------------------- # Example configuration for intersphinx: refer to the Python standard library. intersphinx_mapping = {'https://docs.python.org/': None} # -- Options for todo extension ---------------------------------------------- # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True

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/antlir/tests/test_subvol_utils_inner.py

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permissive

lhl2617/antlir

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refs/heads/main

2023-05-29T03:25:17.558306

2021-06-12T23:44:59

2021-06-12T23:45:50

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0

MIT

2021-06-13T21:15:55

2021-06-13T18:58:56

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py

# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import os import platform import unittest from ..fs_utils import temp_dir from ..subvol_utils import ( Subvol, volume_dir, ) class InnerSubvolTestCase(unittest.TestCase): def test_delete_inner_subvols(self): # This branch is used for testing inside an image via the # `:test-subvol-utils-inner` test. The hostname is set in the # test definition. if platform.node() == "test-subvol-utils-inner": volume_tmp_dir = b"/" # This branch is used for "non-image" testing, ie: when the test is run # in the context of the host via a standard `python_unittest`. else: volume_tmp_dir = volume_dir() / "tmp" try: os.mkdir(volume_tmp_dir) except FileExistsError: pass with temp_dir( dir=volume_tmp_dir.decode(), prefix="delete_recursive" ) as td: try: outer = Subvol(td / "outer") outer.create() inner1 = Subvol(td / "outer/inner1") inner1.create() inner2 = Subvol(td / "outer/inner1/inner2") inner2.create() inner3 = Subvol(td / "outer/inner3") inner3.create() outer.delete() self.assertEqual([], td.listdir()) except BaseException: # Clean up even on Ctrl-C try: inner2.delete() finally: try: inner1.delete() finally: try: inner3.delete() finally: outer.delete() raise

[ "facebook-github-bot@users.noreply.github.com" ]

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

a015801564b213bcb89b27edf3d4d90abb2ecac3

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/.history/maxProduct_20200731211104.py

6ad7e36b9ea31311c74a36dc56eac3420a783a37

[]

no_license

MaryanneNjeri/pythonModules

56f54bf098ae58ea069bf33f11ae94fa8eedcabc

f4e56b1e4dda2349267af634a46f6b9df6686020

refs/heads/master

2022-12-16T02:59:19.896129

2020-09-11T12:05:22

null

0

null

UTF-8

Python

false

154

py

import sys def maxThree(arr): if len(arr) < 3: return -1 maxProduct = -(sys.maxsize -1) print(maxProduct) maxThree([-3,1,2,-])

[ "mary.jereh@gmail.com" ]

mary.jereh@gmail.com

bdd51190ad4dd56994b752ddc0e68c516bb6af37

53fab060fa262e5d5026e0807d93c75fb81e67b9

/backup/user_084/ch88_2020_06_22_17_23_50_676212.py

adf3e7aaf91173c5155e038a15e213075660b05a

[]

no_license

gabriellaec/desoft-analise-exercicios

b77c6999424c5ce7e44086a12589a0ad43d6adca

01940ab0897aa6005764fc220b900e4d6161d36b

refs/heads/main

2023-01-31T17:19:42.050628

2020-12-16T05:21:31

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UTF-8

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322

py

from math import * class retangulo: def __init__(self,P1,P2): self.IE=P1 self.SD=P2 def calcula_perimetro(self): P=2*(abs(self.IE.x-self.SD.x)+abs(self.IE.y+self.SD.y)) return P def calcula_area(self): A=abs(self.IE.x-self.SD.x)*abs(self.IE.y-self.SD.y) return A

[ "you@example.com" ]

you@example.com

e61fc4c01995d4e2b99acccdde8d6e7b89fbbcbd

f0120ec71e44284f59f1fca92e41ff6d05df4d9b

/production/server/server_interface.py

fea942e61f1141957fcfcdf264f06ab0b0f4c4d7

[]

no_license

Vlad-Shcherbina/icfpc2017-tbd

55d8c7022485843d47723c4c0c9fddbba5b8ee56

695e9e525e460b231c75461294176d6ebc0a6f3d

refs/heads/master

2021-03-30T15:46:19.387400

2017-10-14T16:01:04

80,864,945

0

null

UTF-8

Python

false

2,138

py

from typing import NamedTuple, List, Dict from datetime import datetime from time import time from production.bot_interface import Map, Settings INFINITY = 3600 class PlayerStats(NamedTuple): ID: int name: str token: str games: int mu: float sigma: float class GameStats(NamedTuple): ID: int mapname: str futures: bool options: bool splurges: bool participants: List[str] scores: List[int] timestamp: int # TODO: datetime? class MatchInfo(NamedTuple): participants: List[str] map: Map mapname: str settings: Settings class ServerInterrupt(KeyboardInterrupt): pass class Estimation: def __init__(self): self.estimation = time() pass def start(self, N, turns): self.timestart = time() self.turns = turns self.estimation = time() + 10 * N + turns def set(self, i): if i == 0: return self.estimation = (time() - self.timestart) / i * self.turns + self.timestart def get(self): return self.estimation class Player: def __init__(self, stats: PlayerStats): self.stats = stats # self.lastgame = lastgame self.waiting = [] self.ongoing = [] def new_conn(self, deadline): self.waiting.append(deadline) def dead_conn(self, deadline): self.waiting.remove(deadline) def in_game(self, deadline, time_estimation): self.waiting.remove(deadline) self.ongoing.append(time_estimation) def end_game(self, time_estimation): while time_estimation in self.ongoing: self.ongoing.remove(time_estimation) def count(self): return len(self.waiting) + len(self.ongoing) def first_deadline(self): return min(self.waiting) if self.waiting else time() + INFINITY def first_finish(self): return min(x.get() for x in self.ongoing) if self.ongoing else time() + INFINITY def copy(self): newplayer = Player(self.stats) newplayer.waiting = self.waiting[:] newplayer.ongoing = self.ongoing[:] return newplayer

[ "kyra-mensk@yandex.ru" ]

kyra-mensk@yandex.ru

baeb1d0716b3fe402977b96429be369bb60a25c8

c49590eb7f01df37c8ec5fef00d0ffc7250fa321

/openapi_client/models/sell.py

b079fbb0b63c1a32d9a27046bc53008c0892fdb4

[]

no_license

harshad5498/ks-orderapi-python

373a4b85a56ff97e2367eebd076f67f972e92f51

237da6fc3297c02e85f0fff1a34857aaa4c1d295

refs/heads/master

2022-12-09T19:55:21.938764

2020-09-03T05:22:51

293,533,651

0

null

2020-09-07T13:19:25

2020-09-07T13:19:24

null

UTF-8

Python

false

4,247

py

# coding: utf-8 """ KS Trade API's The version of the OpenAPI document: 1.0 """ import pprint import re # noqa: F401 import six from openapi_client.configuration import Configuration class Sell(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech """ """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ openapi_types = { 'price': 'float', 'quantity': 'int', 'orders': 'int' } attribute_map = { 'price': 'price', 'quantity': 'quantity', 'orders': 'orders' } def __init__(self, price=None, quantity=None, orders=None, local_vars_configuration=None): # noqa: E501 """Sell - a model defined in OpenAPI""" # noqa: E501 if local_vars_configuration is None: local_vars_configuration = Configuration() self.local_vars_configuration = local_vars_configuration self._price = None self._quantity = None self._orders = None self.discriminator = None if price is not None: self.price = price if quantity is not None: self.quantity = quantity if orders is not None: self.orders = orders @property def price(self): """Gets the price of this Sell. # noqa: E501 :return: The price of this Sell. # noqa: E501 :rtype: float """ return self._price @price.setter def price(self, price): """Sets the price of this Sell. :param price: The price of this Sell. # noqa: E501 :type price: float """ self._price = price @property def quantity(self): """Gets the quantity of this Sell. # noqa: E501 :return: The quantity of this Sell. # noqa: E501 :rtype: int """ return self._quantity @quantity.setter def quantity(self, quantity): """Sets the quantity of this Sell. :param quantity: The quantity of this Sell. # noqa: E501 :type quantity: int """ self._quantity = quantity @property def orders(self): """Gets the orders of this Sell. # noqa: E501 :return: The orders of this Sell. # noqa: E501 :rtype: int """ return self._orders @orders.setter def orders(self, orders): """Sets the orders of this Sell. :param orders: The orders of this Sell. # noqa: E501 :type orders: int """ self._orders = orders def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, Sell): return False return self.to_dict() == other.to_dict() def __ne__(self, other): """Returns true if both objects are not equal""" if not isinstance(other, Sell): return True return self.to_dict() != other.to_dict()

[ "thebhushanp@gmail.com" ]

thebhushanp@gmail.com

6c4ccb2da13c5f4a8c909a769b8db1f7f5e11b6a

62e45255088abb536e9ea6fcbe497e83bad171a0

/ippython/funciones_duplica_348.py

7e6eeddb5b9a16c421c5e012523191dca58e6cca

[]

no_license

jmery24/python

a24f562c8d893a97a5d9011e9283eba948b8b6dc

3e35ac9c9efbac4ff20374e1dfa75a7af6003ab9

refs/heads/master

2020-12-25T21:56:17.063767

2015-06-18T04:59:05

36,337,473

0

null

2015-05-27T02:26:54

null

UTF-8

Python

false

623

py

# -*- coding: utf-8 -*- """ Created on Wed Jun 5 07:30:41 2013 @author: daniel """ #programa: funciones_duplica_numero_348.py #definir una funcion que duplique los valores de la lista original #modificando la lista original #ejercicio 348 #definir funcion <duplica> def duplica(lista): for i in range(len(lista)): lista[i] = lista[i]*2 return lista #cuerpo del programa #input numeros = [1, 6, 15, 25, 30, 40] #activa procedimiento print 'Numeros originales: ', numeros print print 'Numeros duplicados: ', duplica(numeros) print print 'lista original modificada: ', numeros

[ "danmery@gmail.com" ]

danmery@gmail.com

83ceaca4cedb1cf4a5f043b17207f25b96b7b66c

ab72563047515d98cd43481d8c42b4be73a9e7ae

/tests/trac/test-trac-0179.py

30e2ee5a8132e3a0e2351f6fdeabecfebef6ecc4

[ "Python-2.0", "MIT", "Apache-2.0" ]

permissive

CantemoInternal/pyxb

08924a260886106cf499617a225de71cbf075a84

6979a4d3c13e10059da2e2d096acef6c06fc1ced

refs/heads/master

2021-01-18T10:52:39.712997

2014-10-19T11:18:38

null

0

null

UTF-8

Python

false

1,454

py

# -*- coding: utf-8 -*- import logging if __name__ == '__main__': logging.basicConfig() _log = logging.getLogger(__name__) import pyxb.binding.generate import pyxb.utils.domutils from xml.dom import Node import os.path xsd='''<?xml version="1.0" encoding="UTF-8"?> <xsd:schema xmlns:xsd="http://www.w3.org/2001/XMLSchema"> <xsd:complexType name="tAny"> <xsd:all minOccurs="0"> <xsd:element type="xsd:int" name="a" minOccurs="1"/> <xsd:element type="xsd:int" name="b" minOccurs="1"/> </xsd:all> </xsd:complexType> <xsd:element name="eAny" type="tAny"/> </xsd:schema>''' code = pyxb.binding.generate.GeneratePython(schema_text=xsd) #open('code.py', 'w').write(code) rv = compile(code, 'test', 'exec') eval(rv) from pyxb.exceptions_ import * import unittest class TestTrac0179 (unittest.TestCase): def testBasic (self): instance = CreateFromDocument("<eAny/>") self.assertTrue(instance.a is None) self.assertTrue(instance.b is None) instance = CreateFromDocument("<eAny><a>1</a><b>2</b></eAny>") self.assertEqual(instance.a, 1) self.assertEqual(instance.b, 2) instance = CreateFromDocument("<eAny><b>2</b><a>1</a></eAny>") self.assertEqual(instance.a, 1) self.assertEqual(instance.b, 2) self.assertRaises(pyxb.IncompleteElementContentError, CreateFromDocument, "<eAny><a>1</a></eAny>") if __name__ == '__main__': unittest.main()

[ "pab@pabigot.com" ]

pab@pabigot.com

5754ed817e041ad412ca2d519e7f16fc4c733763

deaf519d1ee104784a56df98a7eb3705efbd1120

/carsir_test/easy_sell/test/test_log_control.py

b2644c4aff10847586c5947bca5e5578339e16e4

[]

no_license

606keng/weeds_study

6391fbb47fb06abf67b7651250373f169fbdfd3e

df9d96009cbdf84176efbf4b02f43cb1d5208524

refs/heads/master

2021-04-23T07:43:52.472097

2021-04-07T13:10:58

249,910,294

1

0

null

UTF-8

Python

false

527

py

import time import logging logging.basicConfig(level=logging.DEBUG) def test_1(): log = logging.getLogger('test_1') time.sleep(1) log.debug('after 1 sec') time.sleep(1) log.debug('after 2 sec') time.sleep(1) log.debug('after 3 sec') assert 1, 'should pass' def test_2(): log = logging.getLogger('test_2') time.sleep(1) log.debug('after 1 sec') time.sleep(1) log.debug('after 2 sec') time.sleep(1) log.debug('after 3 sec') assert 0, 'failing for demo purposes'

[ "18791076614@163.com" ]

18791076614@163.com

009d0651c358c2e02347a5fb7444f1ed0a5ab0c3

23a4dcb819f4cc7fa0b046f8804be35b05b2779a

/modules/debugger/breakpoints/function_breakpoints.py

815e220b5e77546d5613b4d4ae2115ae0eb6b3dd

[ "MIT" ]

permissive

quycao/sublime_debugger

07784b5892af9d3eacd5c9df59af541b268f4f42

2a168e409300fc260c85f3e2c8786577223e4232

refs/heads/master

2020-09-13T20:38:28.677494

2019-11-26T03:59:22

222,896,722

0

MIT

2019-11-20T09:12:56

2019-11-20T09:12:55

null

UTF-8

Python

false

3,660

py

from ... typecheck import * from ... import core from ... import ui from ... import dap class FunctionBreakpoint: def __init__(self, dap: dap.FunctionBreakpoint, enabled: bool = True) -> None: self.enabled = enabled self.dap = dap self.result = None #type: Optional[dap.BreakpointResult] def into_json(self) -> dict: return { 'dap': self.dap.into_json(), 'enabled': self.enabled } @staticmethod def from_json(json: dict) -> 'FunctionBreakpoint': return FunctionBreakpoint( dap.FunctionBreakpoint.from_json(json['dap']), json['enabled'] ) @property def image(self) -> ui.Image: if not self.enabled: return ui.Images.shared.dot_disabled if not self.verified: return ui.Images.shared.dot_emtpy return ui.Images.shared.dot @property def tag(self) -> Optional[str]: return 'ƒn' @property def name(self): return self.dap.name @property def condition(self): return self.dap.condition @property def hitCondition(self): return self.dap.hitCondition @property def verified(self): if self.result: return self.result.verified return True class FunctionBreakpoints: def __init__(self): self.breakpoints = [] #type: List[FunctionBreakpoint] self.on_updated = core.Event() #type: core.Event[List[FunctionBreakpoint]] self.on_send = core.Event() #type: core.Event[List[FunctionBreakpoint]] def __iter__(self): return iter(self.breakpoints) def into_json(self) -> list: return list(map(lambda b: b.into_json(), self.breakpoints)) def load_json(self, json: list): self.breakpoints = list(map(lambda j: FunctionBreakpoint.from_json(j), json)) self.on_updated(self.breakpoints) def clear_session_data(self): for breakpoint in self.breakpoints: breakpoint.result = None self.updated(send=False) def updated(self, send: bool=True): self.on_updated(self.breakpoints) if send: self.on_send(self.breakpoints) def set_result(self, breakpoint: FunctionBreakpoint, result: dap.BreakpointResult) -> None: breakpoint.result = result self.updated(send=False) def toggle(self, breakpoint: FunctionBreakpoint): breakpoint.enabled = not breakpoint.enabled self.updated() def edit(self, breakpoint: FunctionBreakpoint): def set_name(value: str): if value: breakpoint.dap.name = value self.updated() def set_condition(value: str): breakpoint.dap.condition = value or None self.updated() def set_hit_condition(value: str): breakpoint.dap.hitCondition = value or None self.updated() def toggle_enabled(): self.toggle(breakpoint) def remove(): self.breakpoints.remove(breakpoint) self.updated() return ui.InputList([ ui.InputListItemCheckedText( set_name, "Function", "Name of function to break on", breakpoint.dap.name, ), ui.InputListItemCheckedText( set_condition, "Condition", "Breaks when expression is true", breakpoint.dap.condition, ), ui.InputListItemCheckedText( set_hit_condition, "Count", "Breaks when hit count condition is met", breakpoint.dap.hitCondition, ), ui.InputListItemChecked ( toggle_enabled, "Enabled", "Disabled", breakpoint.enabled, ), ui.InputListItem( remove, "Remove" ), ], placeholder= "Edit Breakpoint on function {}".format(breakpoint.name)) def add_command(self) -> None: ui.InputText(self.add, "Name of function to break on").run() def add(self, name: str): self.breakpoints.append( FunctionBreakpoint( dap=dap.FunctionBreakpoint(name, None, None), enabled=True ) ) self.updated() def remove_all(self): self.breakpoints = [] self.updated()

[ "2889367+daveleroy@users.noreply.github.com" ]

2889367+daveleroy@users.noreply.github.com

e5dea951b67d3261a0a4358277126467dce5125d

7087a5dd1772c9456f098bc024a894dcaeef5432

/backup/file.py

d15661444d72f8287c7ccfca0d168d0ba5d63f21

[]

no_license

santhoshchami/kubecctl-python

5be7a5a17cc6f08ec717b3eb1c11719ef7653aba

cd45af465e25b0799d65c573e841e2acb983ee68

refs/heads/master

2021-06-23T11:00:43.615062

2019-07-10T16:57:06

145,669,246

0

null

UTF-8

Python

false

331

py

import sys import re file_name=sys.argv[1] with open(file_name) as fh: def svcFile(value): for line in fh: if(re.search("^name=", line)): data = re.findall('".*"', line) name=re.sub('"', '', data[0]) print(name) svcFile('name')

[ "root@kube-node02.local" ]

root@kube-node02.local

72d0e3a9aa321c3bce22f15f1bc1f9a7979fafaa

3ee85c3a459ac04cb28da0a40dc50c88aaee7fd3

/src/python3/sdp/scripts/animation.py

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

permissive

LeiShi/Synthetic-Diagnostics-Platform

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870120d3fd14b2a3c89c6e6e85625d1e9109a2de

refs/heads/master

2021-03-30T17:36:13.497935

2020-04-11T23:45:43

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2016-02-18T18:08:18

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py

""" Short script providing simple animation creation functions """ import numpy as np import matplotlib.animation as anim import matplotlib.pyplot as plt class MovieMaker: """create 2D movie from data Inputs: data: 3-dimension ndarray, shape (NT,NY,NX), NT is the time steps, NY,NX the vertical and horizontal pixel number """ def __init__(self,data,interval=50,**im_para): self.data = data self.interval = interval self.frame = 0 self.fig = plt.figure() self.im = plt.imshow(data[0],**im_para) self.t_tag = self.fig.text(0.9,0.9,'t=0',ha = 'right',va='top') def updatefig(self,t): self.im.set_array(self.data[t]) self.t_tag.set_text('t={0}'.format(t)) def showmovie(self): ani = anim.FuncAnimation(self.fig,self.updatefig,interval = self.interval) plt.show()

[ "shilei8583@gmail.com" ]

shilei8583@gmail.com

7f8a1c183fc1bc1863fe7a285aad59a164b6bb76

fdb9bdc6c4ab2f14ba71e544493706d5e275899f

/fhir/resources/R4B/tests/test_enrollmentrequest.py

4470f6d2976fc1a82c1c5d502126c8e936f53030

[ "BSD-3-Clause" ]

permissive

nazrulworld/fhir.resources

6ae8aea8180c611b0c5050759c6dcdf63e4cb061

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refs/heads/main

2023-08-30T18:27:27.277249

2023-07-03T19:57:06

165,297,877

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83

NOASSERTION

2023-08-24T15:34:05

2019-01-11T19:26:41

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Python

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1,958

py

# -*- coding: utf-8 -*- """ Profile: http://hl7.org/fhir/StructureDefinition/EnrollmentRequest Release: R4B Version: 4.3.0 Build ID: c475c22 Last updated: 2022-05-28T12:47:40.239+10:00 """ from pydantic.validators import bytes_validator # noqa: F401 from .. import fhirtypes # noqa: F401 from .. import enrollmentrequest def impl_enrollmentrequest_1(inst): assert inst.candidate.reference == "Patient/1" assert inst.coverage.reference == "Coverage/9876B1" assert inst.created == fhirtypes.DateTime.validate("2014-08-16") assert inst.id == "22345" assert inst.identifier[0].system == "http://happyvalley.com/enrollmentrequest" assert inst.identifier[0].value == "EN22345" assert inst.insurer.reference == "Organization/2" assert inst.meta.tag[0].code == "HTEST" assert inst.meta.tag[0].display == "test health data" assert ( inst.meta.tag[0].system == "http://terminology.hl7.org/CodeSystem/v3-ActReason" ) assert inst.provider.reference == "Organization/1" assert inst.status == "active" assert inst.text.div == ( '<div xmlns="http://www.w3.org/1999/xhtml">A human-readable' " rendering of the EnrollmentRequest.</div>" ) assert inst.text.status == "generated" def test_enrollmentrequest_1(base_settings): """No. 1 tests collection for EnrollmentRequest. Test File: enrollmentrequest-example.json """ filename = base_settings["unittest_data_dir"] / "enrollmentrequest-example.json" inst = enrollmentrequest.EnrollmentRequest.parse_file( filename, content_type="application/json", encoding="utf-8" ) assert "EnrollmentRequest" == inst.resource_type impl_enrollmentrequest_1(inst) # testing reverse by generating data from itself and create again. data = inst.dict() assert "EnrollmentRequest" == data["resourceType"] inst2 = enrollmentrequest.EnrollmentRequest(**data) impl_enrollmentrequest_1(inst2)

[ "connect2nazrul@gmail.com" ]

connect2nazrul@gmail.com

673687f08641540fd9ab5e89b4947b4216c2a265

f07a42f652f46106dee4749277d41c302e2b7406

/Data Set/bug-fixing-1/2c581ccde8187fbaad06bf1a57c4d61576a13386-<_meijerint_indefinite_1>-bug.py

1f2dc6ecd5e2843ba758fb7e0f266e0b13a1513c

[]

no_license

wsgan001/PyFPattern

e0fe06341cc5d51b3ad0fe29b84098d140ed54d1

cc347e32745f99c0cd95e79a18ddacc4574d7faa

refs/heads/main

2023-08-25T23:48:26.112133

2021-10-23T14:11:22

null

0

null

UTF-8

Python

false

2,405

py

def _meijerint_indefinite_1(f, x): ' Helper that does not attempt any substitution. ' from sympy import Integral, piecewise_fold, nan, zoo _debug('Trying to compute the indefinite integral of', f, 'wrt', x) gs = _rewrite1(f, x) if (gs is None): return None (fac, po, gl, cond) = gs _debug(' could rewrite:', gs) res = S(0) for (C, s, g) in gl: (a, b) = _get_coeff_exp(g.argument, x) (_, c) = _get_coeff_exp(po, x) c += s fac_ = ((fac * C) / (b * (a ** ((1 + c) / b)))) rho = (((c + 1) / b) - 1) t = _dummy('t', 'meijerint-indefinite', S(1)) def tr(p): return [((a + rho) + 1) for a in p] if any(((b.is_integer and ((b <= 0) == True)) for b in tr(g.bm))): r = (- meijerg(tr(g.an), (tr(g.aother) + [1]), (tr(g.bm) + [0]), tr(g.bother), t)) else: r = meijerg((tr(g.an) + [1]), tr(g.aother), tr(g.bm), (tr(g.bother) + [0]), t) place = 0 if ((b < 0) or f.subs(x, 0).has(nan, zoo)): place = None r = hyperexpand(r.subs(t, (a * (x ** b))), place=place) res += powdenest((fac_ * r), polar=True) def _clean(res): "This multiplies out superfluous powers of x we created, and chops off\n constants:\n\n >> _clean(x*(exp(x)/x - 1/x) + 3)\n exp(x)\n\n cancel is used before mul_expand since it is possible for an\n expression to have an additive constant that doesn't become isolated\n with simple expansion. Such a situation was identified in issue 6369:\n\n\n >>> from sympy import sqrt, cancel\n >>> from sympy.abc import x\n >>> a = sqrt(2*x + 1)\n >>> bad = (3*x*a**5 + 2*x - a**5 + 1)/a**2\n >>> bad.expand().as_independent(x)[0]\n 0\n >>> cancel(bad).expand().as_independent(x)[0]\n 1\n " from sympy import cancel res = expand_mul(cancel(res), deep=False) return Add._from_args(res.as_coeff_add(x)[1]) res = piecewise_fold(res) if res.is_Piecewise: newargs = [] for (expr, cond) in res.args: expr = _my_unpolarify(_clean(expr)) newargs += [(expr, cond)] res = Piecewise(*newargs) else: res = _my_unpolarify(_clean(res)) return Piecewise((res, _my_unpolarify(cond)), (Integral(f, x), True))

[ "dg1732004@smail.nju.edu.cn" ]

dg1732004@smail.nju.edu.cn

1fe5a25fee8855277893c53410b7569c72bd622f

ce08ceeeb6a681db53c7dbd07398e885e4367f8c

/lunmap.py

b1509024b070bdfaeb7e00cc41587bba5fce23ab

[]

no_license

FengZiQ/cli

f4efb5caaeec5fae6b5abfdca0046316033413f7

49b14acb6bb04ecfc757918835e71397794f66c0

refs/heads/master

2021-09-07T14:52:11.143413

2018-02-24T08:20:57

99,288,642

0

null

UTF-8

Python

false

3,901

py

# -*- coding = utf-8 -*- # 2018.01.23 from ssh_connect import ssh_conn from cli_test import * from remote import server import json from find_unconfigured_pd_id import find_pd_id data = 'data/lunmap.xlsx' def precondition(): try: clean_up_environment() pdId = find_pd_id() # create pool server.webapi('post', 'pool', {"name": "T_lunMap_P0", "pds": pdId[6:9], "raid_level": "raid5"}) # create volume and export it for i in range(3): server.webapi('post', 'volume', {'pool_id': 0, 'name': 'T_lunMap_V' + str(i), 'capacity': '100GB'}) server.webapi('post', 'volume/' + str(i) + '/export') # create snapshot and export it for i in range(3): server.webapi('post', 'snapshot', {"name": "T_lunMap_SS" + str(i), "type": 'volume', "source_id": 2}) server.webapi('post', 'snapshot/' + str(i) + '/export') # create clone and export it for i in range(3): server.webapi('post', 'clone', {"name": "T_lunMap_C" + str(i), "source_id": 2}) server.webapi('post', 'clone/' + str(i) + '/export') # create initiator for i in range(4): server.webapi('post', 'initiator', {'type': 'iSCSI', 'name': 'T.com' + str(i)}) server.webapi('post', 'initiator', {'type': 'fc', 'name': '00-11-22-33-00-00-11-1' + str(i)}) except: tolog("precondition is failed\r\n") return def clean_up_environment(): initiator_request = server.webapi('get', 'initiator') try: initiator_info = json.loads(initiator_request["text"]) for initiator in initiator_info: # delete all initiator server.webapi('delete', 'initiator/' + str(initiator['id'])) except: tolog("precondition is failed\r\n") return def enable_lmm(c): cli_setting = cli_test_setting() cli_setting.setting(c, data, 'enable_lmm') return cli_setting.FailFlag def add_lunmap(c): # precondition precondition() cli_setting = cli_test_setting() cli_setting.setting(c, data, 'add_lunmap') return cli_setting.FailFlag def addun_lunmap(c): cli_setting = cli_test_setting() cli_setting.setting(c, data, 'addun_lunmap') return cli_setting.FailFlag def list_lunmap(c): cli_list = cli_test_list() cli_list.list(c, data, 'list_lunmap') return cli_list.FailFlag def del_lunmap(c): cli_delete = cli_test_delete() cli_delete.delete(c, data, 'del_lunmap', 5) return cli_delete.FailFlag def dellun_lunmap(c): cli_delete = cli_test_delete() cli_delete.delete(c, data, 'dellun_lunmap') return cli_delete.FailFlag def disable_lmm(c): cli_setting = cli_test_setting() cli_setting.setting(c, data, 'disable_lmm') return cli_setting.FailFlag def invalid_setting_for_lunmap(c): cli_failed_test = cli_test_failed_test() cli_failed_test.failed_test(c, data, 'invalid_setting_for_lunmap') return cli_failed_test.FailFlag def invalid_option_for_lunmap(c): cli_failed_test = cli_test_failed_test() cli_failed_test.failed_test(c, data, 'invalid_option_for_lunmap') return cli_failed_test.FailFlag def missing_parameter_for_lunmap(c): cli_failed_test = cli_test_failed_test() cli_failed_test.failed_test(c, data, 'missing_parameter_for_lunmap') # clean up environment clean_up_environment() find_pd_id() return cli_failed_test.FailFlag if __name__ == "__main__": start = time.clock() c, ssh = ssh_conn() enable_lmm(c) add_lunmap(c) addun_lunmap(c) list_lunmap(c) del_lunmap(c) dellun_lunmap(c) disable_lmm(c) invalid_setting_for_lunmap(c) invalid_option_for_lunmap(c) missing_parameter_for_lunmap(c) ssh.close() elasped = time.clock() - start print "Elasped %s" % elasped

[ "feng1025352529@qq.com" ]

feng1025352529@qq.com

0fd640f856ffa0cc035d95776d7187fcc91031a4

1c7fa268ee031395806f38d52b6a7282ba5a4633

/hr_python/regex_parse/easy/DetectFloat.py

b2754c393f1d48d70ee773ddd148ef937800d8f8

[]

no_license

murugesan-narayan/hr_python

d2f562ecd2aa6c4eef4aab8363d5d040447ed727

86542342fc77cf7c95ebd08e5142186410f6385d

refs/heads/master

2022-04-12T14:59:16.293611

2020-03-24T14:25:30

249,729,320

0

null

UTF-8

Python

false

152

py

import re if __name__ == '__main__': for i in range(int(input())): f = input() print(re.match(r"^[+-]?\d*\.\d+$", f) is not None)

[ "murugesan.narayan@gmail.com" ]

murugesan.narayan@gmail.com

b3733a246955de76c0490f84a680b6c786c3c7c3

1511782b2cc3dcf1f7e058e5046ec67a5561ba51

/2020/0310-0312_DP_gasshuku/abc007c.py

f12f7a270968711d5e8f016e556d2c6e22b48622

[]

no_license

keiouok/atcoder

7d8a053b0cf5b42e71e265450121d1ad686fee6d

9af301c6d63b0c2db60ac8af5bbe1431e14bb289

refs/heads/master

2021-09-07T11:48:55.953252

2021-07-31T15:29:50

186,214,079

4

0

null

UTF-8

Python

false

1,447

py

import sys, re, os from collections import deque, defaultdict, Counter from math import ceil, sqrt, hypot, factorial, pi, sin, cos, radians from itertools import permutations, combinations, product, accumulate from operator import itemgetter, mul from copy import deepcopy from string import ascii_lowercase, ascii_uppercase, digits from fractions import gcd def input(): return sys.stdin.readline().strip() def INT(): return int(input()) def MAP(): return map(int, input().split()) def S_MAP(): return map(str, input().split()) def LIST(): return list(map(int, input().split())) def S_LIST(): return list(map(str, input().split())) sys.setrecursionlimit(10 ** 9) INF = float('inf') mod = 10 ** 9 + 7 H, W = MAP() sy, sx = MAP() gy, gx = MAP() sy = sy - 1 sx = sx - 1 gy = gy - 1 gx = gx - 1 visited = [[False] * W for i in range(H)] C = [list(input()) for i in range(H)] dx = [-1, 0, 1, 0] dy = [0, 1, 0, -1] def bfs(): que = deque([(sy, sx)]) C[sy][sx] = 0 visited[sy][sx] = True while que: y, x = que.popleft() for i in range(4): nx = x + dx[i] ny = y + dy[i] if 0 <= nx < W and 0 <= ny < H and C[ny][nx] != "#" and visited[ny][nx] == False: C[ny][nx] = C[y][x] + 1 visited[ny][nx] = True que.append((ny, nx)) print(C[gy][gx]) if __name__ == "__main__": bfs()

[ "hu.youjia.hx2@is.naist.jp" ]

hu.youjia.hx2@is.naist.jp

d73ea65a3ef7e920759b7d60129d750bb29618ce

87dd9022421d5f23f815ca6d794af48c007579dc

/items/admin.py

afe7d4f0b45ead1a4305f077baf2f05e1e4e2b22

[]

no_license

iKenshu/todo-list

c94fc0558ef00625d9a59a45cbed7510947ff2b3

f115d4035b9f7fc82253388a51982637fcd98276

refs/heads/master

2020-03-19T18:37:21.852860

2018-06-19T13:13:36

112,334,181

1

0

null

UTF-8

Python

false

256

py

from django.contrib import admin from .models import Item @admin.register(Item) class ItemAdmin(admin.ModelAdmin): list_display = ('name', 'description', 'pub_date') list_editable = ('description',) prepopulated_fields = {'slug': ('name',)}

[ "undefined.hlo.o@gmail.com" ]

undefined.hlo.o@gmail.com

4f86f318e0f21834f77d5873ea25905b86d87f12

d227fb26e33128afe868bef60e3042f7c6576643

/editor/Welder/src/Core/MapEditor/BrushPanels.py

c8b08cf9ca3a4fbf50aa695014c5d2459f9d58bb

[]

no_license

boisei0/arcreator

1e57b9cc61d5b38bfd0d62237592cfd9f371eca9

555739cafdeeed19d3c25c4948416a6ecb7697d5

refs/heads/master

2020-12-02T05:02:36.242572

2014-08-05T19:25:41

22,642,617

1

0

null

UTF-8

Python

false

2,801

py

import wx from Boot import WelderImport Kernel = WelderImport('Kernel') Core = WelderImport('Core') KM = Kernel.Manager Panels = Core.Panels class TilesetPanel(wx.ScrolledWindow, Panels.PanelBase): _arc_panel_info_string = "Name Caption Left CloseB BestS MinimizeM Layer Row Pos MinimizeB DestroyOC" _arc_panel_info_data = { "Name": "Tileset", "Caption": "Tileset", "CloseB": False, "BestS": (32 * 8, 32 * 12), "MinimizeM": ["POS_SMART", "CAPT_SMART"], "Layer": 1, "Row": 1, "Pos": 1, "MinimizeB": True } def __init__(self, parent): wx.ScrolledWindow.__init__(self, parent, wx.ID_ANY) self.bindFocus() self.panel = wx.Panel(self, wx.ID_ANY) self.SetScrollbars(32, 32, 8, 50) class MapTreePanel(wx.Panel, Panels.PanelBase): _arc_panel_info_string = "Name Caption Left CloseB BestS MinimizeM Layer Row Pos MinimizeB IconARCM DestroyOC" _arc_panel_info_data = { "Name": "Maps", "Caption": "Maps", "CloseB": False, "BestS": (32 * 8, 32 * 4), "MinimizeM": ["POS_SMART", "CAPT_SMART"], "Layer": 1, "Row": 1, "Pos": 1, "MinimizeB": True, 'IconARCM': 'project_icon' } def __init__(self, parent, mapEditerPanel=None): wx.Panel.__init__(self, parent) self.mapEditerPanel = mapEditerPanel #set up Sizer box = wx.BoxSizer(wx.VERTICAL) #set up tree mapTreeCtrl = KM.get_component("MapTreeCtrl").object self.treectrl = mapTreeCtrl(self, -1, wx.Point(0, 0), wx.Size(160, 250), True) #add ctrls to sizer box.Add(self.treectrl, 1, wx.ALL | wx.EXPAND) #set sizer self.SetSizerAndFit(box) #bind events self.treectrl.Bind(wx.EVT_LEFT_DCLICK, self.TreeLeftDClick) def TreeLeftDClick(self, event): pt = event.GetPosition() item, flags = self.treectrl.HitTest(pt) if item: data = self.treectrl.GetItemData(item).GetData() if data: map_id, name = data project = Kernel.GlobalObjects.get_value("PROJECT") map_ = project.getMapData(map_id) tilesets = project.getData("Tilesets") if Kernel.GlobalObjects.has_key("PanelManager"): Kernel.GlobalObjects.get_value("PanelManager")\ .dispatch_panel("MapEditorPanel", "Map Editor Panel " + str(map_id), arguments=[map_, tilesets], info="Name Caption", data={"Name": "[" + str(map_id) + "] " + name, "Caption": "[" + str(map_id) + "] " + name}) event.Skip()

[ "boisei0@hubsec.eu" ]

boisei0@hubsec.eu

527ab3f5e0e2ee94f044e89480b14ae779c9d6ae

b87b80f29d0012827582890d6e47ec98f85376a5

/prediction-models/app.py

151dc0fe2b45c3559a1822c92234f2fab0d2ebee

[]

no_license

amlannandy/FitnessLive

843058a6b84029fc91ef53d0731804b715ceaf19

8514520c00804a42c5e46fc4dbdaff57de56a591

refs/heads/master

2023-03-08T02:02:22.036686

2021-02-19T07:43:20

331,222,344

0

null

2021-02-19T06:36:59

2021-01-20T07:07:45

Dart

UTF-8

Python

false

1,484

py

from flask import Flask, jsonify, request from scripts.chd import run_chd_model from scripts.diabetes import run_diabetes_model app = Flask(__name__) @app.route('/') def home(): return 'Flask server is working!', 200 @app.route('/diabetes', methods=['POST']) def run_diabetes(): try: data = request.get_json() except: response = { 'success': False, 'msg': 'Health data missing', } return jsonify(response), 400 try: glucose = data['glucose'] blood_pressure = data['bloodPressure'] res = run_diabetes_model(glucose, blood_pressure) response = { 'success': True, 'result': res, } return jsonify(response), 200 except: response = { 'success': False, 'msg': 'Server Error' } return jsonify(response), 500 @app.route('/coronary-heart-disease', methods=['POST']) def run_chd(): try: data = request.get_json() except: response = { 'success': False, 'msg': 'Health data missing', } return jsonify(response), 400 try: res = run_chd_model() response = { 'success': True, 'result': res, } return jsonify(response), 200 except: response = { 'success': False, 'msg': 'Server Error' } return jsonify(response), 500

[ "amlannandy5@gmail.com" ]

amlannandy5@gmail.com

ec558fecae74fcd4bc138c1706c2befffa2bf1a1

0abd5799f42e169ecd7eb25970d32121cd483bfd

/xpdtools/pipelines/save_tiff.py

c0682d205300daa24f1e67311d1d99acbf40bd0f

[]

no_license

CJ-Wright/xpdtools

7ecede857d8e7b91e58861b064c53d5ab88ef540

680c79bb30d7b58c9ed03eb286b5a438161c39df

refs/heads/master

2021-06-24T07:14:04.308324

2017-12-05T18:54:50

113,220,820

0

null

2017-12-05T18:55:09

null

UTF-8

Python

false

7,878

py

"""Save tiff pipeline""" import os from operator import sub import shed.event_streams as es import tifffile from shed.event_streams import star from bluesky.callbacks.broker import LiveImage from streamz import Stream from xpdan.db_utils import query_dark, temporal_prox from xpdan.dev_utils import _timestampstr from xpdan.formatters import render_and_clean from xpdan.io import dump_yml from xpdan.pipelines.pipeline_utils import (if_dark, base_template) _s = set() # TODO: refactor templating def conf_save_tiff_pipeline(db, save_dir, *, write_to_disk=False, vis=True, image_data_key='pe1_image'): """Total data processing pipeline for XPD Parameters ---------- db: databroker.broker.Broker instance The databroker holding the data, this must be specified as a `db=` in the function call (keyword only argument) write_to_disk: bool, optional If True write files to disk, defaults to False save_dir: str The folder in which to save the data, this must be specified as a `save_dir=` in the function call (keyword only argument) vis: bool, optional If True visualize the data. Defaults to False image_data_key: str, optional The key for the image data, defaults to `pe1_image` Returns ------- source: Stream The source for the graph See also -------- xpdan.tools.mask_img """ print('start pipeline configuration') light_template = os.path.join(save_dir, base_template) raw_source = Stream(stream_name='Raw Data') # raw data source = es.fill_events(db, raw_source) # filled raw data # DARK PROCESSING # if not dark do dark subtraction if_not_dark_stream = es.filter(lambda x: not if_dark(x), source, input_info={0: ((), 0)}, document_name='start', stream_name='If not dark', full_event=True) eventify_raw_start = es.Eventify(if_not_dark_stream, stream_name='eventify raw start') h_timestamp_stream = es.map(_timestampstr, if_not_dark_stream, input_info={0: 'time'}, output_info=[('human_timestamp', {'dtype': 'str'})], full_event=True, stream_name='human timestamp') # only the primary stream if_not_dark_stream_primary = es.filter(lambda x: x[0]['name'] == 'primary', if_not_dark_stream, document_name='descriptor', stream_name='Primary') dark_query = es.Query(db, if_not_dark_stream, query_function=query_dark, query_decider=temporal_prox, stream_name='Query for FG Dark') dark_query_results = es.QueryUnpacker(db, dark_query, stream_name='Unpack FG Dark') # Do the dark subtraction zlid = es.zip_latest(if_not_dark_stream_primary, dark_query_results, stream_name='Combine darks and lights') dark_sub_fg = es.map(sub, zlid, input_info={0: (image_data_key, 0), 1: (image_data_key, 1)}, output_info=[('img', {'dtype': 'array', 'source': 'testing'})], md=dict(stream_name='Dark Subtracted Foreground', analysis_stage='dark_sub')) if vis: dark_sub_fg.sink(star(LiveImage('img'))) if write_to_disk: eventify_raw_descriptor = es.Eventify( if_not_dark_stream, stream_name='eventify raw descriptor', document='descriptor') exts = ['.tiff'] eventify_input_streams = [dark_sub_fg] input_infos = [ {'data': ('img', 0), 'file': ('filename', 1)}, ] saver_kwargs = [{}] eventifies = [es.Eventify( s, stream_name='eventify {}'.format(s.stream_name)) for s in eventify_input_streams] mega_render = [ es.map(render_and_clean, es.zip_latest( es.zip(h_timestamp_stream, # human readable event timestamp if_not_dark_stream, # raw events, stream_name='mega_render zip' ), eventify_raw_start, eventify_raw_descriptor, analysed_eventify ), string=light_template, input_info={ 'human_timestamp': (('data', 'human_timestamp'), 0), 'raw_event': ((), 1), 'raw_start': (('data',), 2), 'raw_descriptor': (('data',), 3), 'analyzed_start': (('data',), 4) }, ext=ext, full_event=True, output_info=[('filename', {'dtype': 'str'})], stream_name='mega render ' '{}'.format(analysed_eventify.stream_name) ) for ext, analysed_eventify in zip(exts, eventifies)] streams_to_be_saved = [dark_sub_fg] save_callables = [tifffile.imsave] md_render = es.map(render_and_clean, eventify_raw_start, string=light_template, input_info={'raw_start': (('data',), 0), }, output_info=[('filename', {'dtype': 'str'})], ext='.yml', full_event=True, stream_name='MD render') make_dirs = [es.map(lambda x: os.makedirs(os.path.split(x)[0], exist_ok=True), cs, input_info={0: 'filename'}, output_info=[('filename', {'dtype': 'str'})], stream_name='Make dirs {}'.format(cs.stream_name) ) for cs in mega_render] _s.update([es.map(writer_templater, es.zip_latest( es.zip(s1, s2, stream_name='zip render and data', zip_type='truncate'), made_dir, stream_name='zl dirs and render and data' ), input_info=ii, output_info=[('final_filename', {'dtype': 'str'})], stream_name='Write {}'.format(s1.stream_name), **kwargs) for s1, s2, made_dir, ii, writer_templater, kwargs in zip( streams_to_be_saved, mega_render, make_dirs, # prevent run condition btwn dirs and files input_infos, save_callables, saver_kwargs )]) _s.add(es.map(dump_yml, es.zip(eventify_raw_start, md_render), input_info={0: (('data', 'filename'), 1), 1: (('data',), 0)}, full_event=True, stream_name='dump yaml')) return raw_source

[ "cjwright4242@gmail.com" ]

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from asyncio import iscoroutinefunction from typing import Callable, TypeVar from aioreactive.abc import AsyncDisposable from aioreactive.core import AsyncObserver, AsyncObservable from aioreactive.core import AsyncSingleStream, chain, AsyncCompositeDisposable T1 = TypeVar('T1') T2 = TypeVar('T2') class Map(AsyncObservable[T2]): def __init__(self, mapper: Callable[[T1], T2], source: AsyncObservable[T1]) -> None: self._source = source self._mapper = mapper async def __asubscribe__(self, observer: AsyncObserver[T2]) -> AsyncDisposable: sink = Map.Sink(self) # type: AsyncSingleStream[T2] down = await chain(sink, observer) up = await chain(self._source, sink) # type: AsyncDisposable return AsyncCompositeDisposable(up, down) class Sink(AsyncSingleStream[T2]): def __init__(self, source: "Map") -> None: super().__init__() self._mapper = source._mapper async def asend_core(self, value: T1) -> None: try: result = self._mapper(value) except Exception as err: await self._observer.athrow(err) else: await self._observer.asend(result) def map(mapper: Callable[[T1], T2], source: AsyncObservable[T1]) -> AsyncObservable[T2]: """Project each item of the source observable. xs = map(lambda value: value * value, source) Keyword arguments: mapper: A transform function to apply to each source item. Returns an observable sequence whose elements are the result of invoking the mapper function on each element of source. """ assert not iscoroutinefunction(mapper) return Map(mapper, source)

[ "dag@brattli.net" ]

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# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2018-12-03 08:10 from __future__ import unicode_literals import django.contrib.auth.models import django.contrib.auth.validators from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ ('auth', '0008_alter_user_username_max_length'), ] operations = [ migrations.CreateModel( name='BlogUser', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('password', models.CharField(max_length=128, verbose_name='password')), ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')), ('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')), ('username', models.CharField(error_messages={'unique': 'A user with that username already exists.'}, help_text='Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.', max_length=150, unique=True, validators=[django.contrib.auth.validators.UnicodeUsernameValidator()], verbose_name='username')), ('first_name', models.CharField(blank=True, max_length=30, verbose_name='first name')), ('last_name', models.CharField(blank=True, max_length=30, verbose_name='last name')), ('email', models.EmailField(blank=True, max_length=254, verbose_name='email address')), ('is_staff', models.BooleanField(default=False, help_text='Designates whether the user can log into this admin site.', verbose_name='staff status')), ('is_active', models.BooleanField(default=True, help_text='Designates whether this user should be treated as active. Unselect this instead of deleting accounts.', verbose_name='active')), ('date_joined', models.DateTimeField(default=django.utils.timezone.now, verbose_name='date joined')), ('nickname', models.CharField(default='', max_length=20)), ('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.Group', verbose_name='groups')), ('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.Permission', verbose_name='user permissions')), ], options={ 'verbose_name_plural': 'users', 'verbose_name': 'user', 'abstract': False, }, managers=[ ('objects', django.contrib.auth.models.UserManager()), ], ), migrations.CreateModel( name='EmailVerifyRecord', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(default='', max_length=50, verbose_name='验证码')), ('email', models.EmailField(max_length=50, verbose_name='邮箱')), ('send_type', models.CharField(choices=[('register', '注册'), ('forget', '找回密码'), ('update_email', '修改邮箱')], max_length=30, verbose_name='验证码类型')), ('send_time', models.DateTimeField(auto_now_add=True, verbose_name='发送时间')), ], options={ 'verbose_name_plural': '邮箱验证码', 'verbose_name': '邮箱验证码', }, ), ]

[ "1627765913@qq.com" ]

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#!/usr/bin/python2.7 # -*- coding:utf-8 -*- # Author: NetworkRanger # Date: 2019/1/28 9:31 PM import logging LOG_FORMAT = "[%(asctime)s] [%(processName)s:%(threadName)s] [%(levelname)s:%(filename)s:%(funcName)s:%(lineno)d] %(message)s" logging.basicConfig(level=logging.DEBUG, format=LOG_FORMAT) Logger = logging.getLogger(__name__) class Demo(object): def __init__(self): pass def step1(self): Logger.debug('step1') def step2(self): Logger.debug('step2') def run(self): self.step1() self.step2() def main(): Demo().run() if __name__ == '__main__': main()

[ "17346503142@163.com" ]

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class BramblingBackend(object): """ Handles object-based permissions for brambling models. """ def authenticate(self, **kwargs): pass def get_user(self, user_id): pass def get_all_permissions(self, user_obj, obj=None): if obj is None: return set() if not user_obj.is_authenticated() or not user_obj.is_active: return set() if not hasattr(user_obj, '_brambling_perm_cache'): user_obj._brambling_perm_cache = {} perm_cache = user_obj._brambling_perm_cache cls_name = obj.__class__.__name__ if cls_name not in perm_cache: perm_cache[cls_name] = {} if obj.pk not in perm_cache[cls_name]: perm_cache[cls_name][obj.pk] = set(obj.get_permissions(user_obj)) return perm_cache[cls_name][obj.pk] def has_perm(self, user_obj, perm, obj=None): return perm in self.get_all_permissions(user_obj, obj)

[ "stephen.r.burrows@gmail.com" ]

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from fabric.api import * from fabric.contrib.files import exists, upload_template from fabric.contrib.project import rsync_project import time env.user = 'root' env.project_name = 'boar' env.hosts = ['137.205.98.90'] env.path = '/var/www/theboar.org' env.version = 'current' ###################################### # Helpers ###################################### def version_path(): return '%s/releases/%s' % (env.path, env.version) def version(v): env.version = v def wwwrun(c): sudo(c, user='www-data') ###################################### # Tasks ###################################### def bootstrap(): sudo('apt-get install -y puppet rsync') def deploy(): require('hosts', 'path') if not exists(env.path): sudo('mkdir -p "%s"' % env.path) sudo('chown -R www-data:www-data "%s"' % env.path) version(time.strftime('%Y%m%d%H%M%S')) with cd(env.path): #if exists('releases/current'): # wwwrun('cp -a releases/current releases/%s' % env.version) #else: wwwrun('mkdir -p releases/%s' % env.version) rsync_project( local_dir=".", remote_dir=version_path(), delete=True, extra_opts='--exclude=static_root --exclude=".git*" --exclude="*.pyc" --exclude="apache-solr-*" --exclude="*.pyc" --exclude="*~" --exclude="._*" --exclude="boar/media" --exclude=".*.swp" --exclude=".DS_Store"' ) with cd(version_path()): revision = local( 'git rev-list HEAD | head -1 | cut -c-20', capture=True ).strip() upload_template('boar/settings/live.py', 'boar/settings/live.py', { 'GIT_REVISION': revision }) sudo('chown -R www-data:www-data .') with cd('deploy'): sudo('puppet --templatedir=. deps.pp') if exists('ve'): run('rm -rf ve') run('mkdir ve') run('virtualenv ve') run('pip install --upgrade -E ve -r requirements.txt', shell=True) manage('collectstatic --noinput') manage('compress') with cd(env.path): if exists('releases/previous'): run('rm releases/previous') if exists('releases/current'): run('mv releases/current releases/previous') run('ln -s %s releases/current' % version_path()) sudo('cp %s/solr/conf/schema.xml /etc/solr/conf/schema.xml' % version_path()) restart() def restart(): sudo('/etc/init.d/supervisor stop') env.warn_only = True while True: out = sudo('/etc/init.d/supervisor start') if not out.failed: break time.sleep(1) env.warn_only = False sudo('/etc/init.d/nginx reload') sudo('/etc/init.d/jetty force-reload') def manage(c): with cd(version_path()): wwwrun('ve/bin/python boar/manage.py %s --settings=boar.settings.live' % c)

[ "ben@firshman.co.uk" ]

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import torch import numpy as np def unnormalize(image, mean, std, transpose=False): """Un-normalize a given image. Args: image (numpy.ndarray or torch.Tensor): A ndarray or tensor. If tensor, it should be in CPU. mean (float or tuple): Mean. It can be a single value or a tuple with 3 values (one for each channel). std (float or tuple): Standard deviation. It can be a single value or a tuple with 3 values (one for each channel). transpose (bool, optional): If True, transposed output will be returned. This param is effective only when image is a tensor. If tensor, the output will have channel number as the last dim. (default: False) Returns: Unnormalized image """ # Check if image is tensor, convert to numpy array tensor = False if type(image) == torch.Tensor: # tensor tensor = True if len(image.size()) == 3: image = image.transpose(0, 1).transpose(1, 2) image = np.array(image) # Perform normalization image = image * std + mean # Convert image back to its original data type if tensor: if not transpose and len(image.shape) == 3: image = np.transpose(image, (2, 0, 1)) image = torch.Tensor(image) return image def normalize(image, mean, std, transpose=False): """Normalize a given image. Args: image (numpy.ndarray or torch.Tensor): A ndarray or tensor. If tensor, it should be in CPU. mean (float or tuple): Mean. It can be a single value or a tuple with 3 values (one for each channel). std (float or tuple): Standard deviation. It can be a single value or a tuple with 3 values (one for each channel). transpose (bool, optional): If True, transposed output will be returned. This param is effective only when image is a tensor. If tensor, the output will have channel number as the last dim. (default: False) Returns: Normalized image """ # Check if image is tensor, convert to numpy array tensor = False if type(image) == torch.Tensor: # tensor tensor = True if len(image.size()) == 3: image = image.transpose(0, 1).transpose(1, 2) image = np.array(image) # Perform normalization image = (image - mean) / std # Convert image back to its original data type if tensor: if not transpose and len(image.shape) == 3: image = np.transpose(image, (2, 0, 1)) image = torch.Tensor(image) return image def to_numpy(tensor): """Convert 3-D torch tensor to a 3-D numpy array. Args: tensor (torch.Tensor): Tensor to be converted. Returns: numpy.ndarray """ return tensor.transpose(0, 1).transpose(1, 2).clone().numpy() def to_tensor(ndarray): """Convert 3-D numpy array to 3-D torch tensor. Args: ndarray (numpy.ndarray): Array to be converted. Returns: torch.Tensor """ return torch.Tensor(np.transpose(ndarray, (2, 0, 1)))

[ "thegeek.004@gmail.com" ]

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import pyaf.Bench.TS_datasets as tsds import pyaf.tests.artificial.process_artificial_dataset as art art.process_dataset(N = 32 , FREQ = 'D', seed = 0, trendtype = "MovingMedian", cycle_length = 5, transform = "Quantization", sigma = 0.0, exog_count = 100, ar_order = 12);

[ "antoine.carme@laposte.net" ]

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n1 = int(input('Digite um numero:')) n2 = int(input('Digite outro:')) soma = n1 + n2 print (f'A soma de {n1} e {n2} vale {soma}')

[ "marcuccimaciel.andre@gmail.com" ]

marcuccimaciel.andre@gmail.com

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webclinic017/fa-absa-py3

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""" Compiled: 2020-09-18 10:38:50 """ #__src_file__ = "extensions/AMUtils/./etc/FValidator.py" import collections class ValidationError(object): INFO = 0 WARN = 1 ERROR = 2 FATAL = 3 def __init__(self, errorMsg, obj, errorLevel=None, **kwargs): self._errorMsg = errorMsg self._obj = obj if errorLevel is None: self._errorLevel = self.ERROR else: self._errorLevel = errorLevel self._additionalArguments = kwargs def FormatObject(self): return str(self.Object()) def LongMessage(self): return self.FormatErrorMessage() def FormatErrorMessage(self): errorLevel = {self.INFO:'INFO', self.WARN:'WARN', self.ERROR:'ERROR', self.FATAL:'FATAL'}[self.ErrorLevel()] return '{0} {1}: {2}'.format(errorLevel, self.FormatObject(), self.ErrorMessage()) def __str__(self): return self.FormatErrorMessage() def ErrorMessage(self): return self._errorMsg def Object(self): return self._obj def ErrorLevel(self): return self._errorLevel class ErrorList(list): def __init__(self, parameter, sourceChain=None, errorClass=ValidationError): list.__init__(self) self._parameter = parameter self._sourceChain = sourceChain self._errorClass = errorClass def AddError(self, msg, errorLevel=None, **kwargs): error = self._errorClass(msg, self._parameter, errorLevel, **kwargs) self.append(error) class Validator(object): @classmethod def Validate(cls, obj, validObjectTypes=None): errors = [] if isinstance(validObjectTypes, str): validObjectTypes = [validObjectTypes] elif isinstance(validObjectTypes, collections.Iterable): validObjectTypes = list(validObjectTypes) else: validObjectTypes = None try: obj = cls.Object(obj) except Exception as e: return [cls.CreateError(str(e), obj)] objType = cls.GetType(obj) if not objType: return [cls.CreateError('No Type', obj)] elif validObjectTypes is not None and not objType in validObjectTypes: return [cls.CreateError('Type "{0}" is not in the valid object types {1}'.format(objType, validObjectTypes), obj)] try: #Should use a deque or something instead function = getattr(cls, 'Validate'+objType) except AttributeError: return [cls.CreateError('Validator function "{0}" available'.format('Validate'+objType), obj, ValidationError.WARN)] try: errors.extend(function(obj)) except Exception as e: return [cls.CreateError('Could not run validator function {0}: {1}'.format('Validate'+objType, e), obj)] return errors @classmethod def CreateError(cls, errorMsg, obj, errorLevel=None, **kwargs): return ValidationError(errorMsg, obj, errorLevel, **kwargs) @classmethod def GetType(cls, parameter): return type(parameter).__name__ @classmethod def Object(cls, obj): return obj @classmethod def _ErrorList(cls, parameter, sourceChain): return ErrorList(parameter, sourceChain, cls.CreateError)

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nencho.georogiev@absa.africa

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dongyang2/hello-world

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# 6,7,8,9都是C里面才有的数据结构的操作，Python里实现和操作都不太一样，这里先跳一跳 # coding: utf-8 # Python 3 # 这就是传说中的跳台阶，最最经典的动态规划。 def jump(n: int): if n < 0: raise ValueError() if n == 0: return 0 if n == 1: return 1 fn_2 = 0 fn_1 = 1 f = 0 for i in range(1, n): f = fn_1 + fn_2 fn_1, fn_2 = fn_1, f return f def main(): print(jump(4)) if __name__ == '__main__': import time print('-' * 15, 'Start', time.ctime(), '-' * 15, '\n') main() print('%s%s %s %s %s' % ('\n', '-' * 16, 'End', time.ctime(), '-' * 16))

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dongyangzhao@outlook.com

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pkueecslibo/amw-python-study

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#!/usr/bin/python #!-*- coding:utf-8 -*- ''' Formatting and Parsing format: 将时间格式化 parse : 将时间解析 ''' import datetime format = '%a %b %d %H:%M:%S %Y' today = datetime.datetime.today() print 'ISO :', today s = today.strftime(format) print 'strftime :', s d = datetime.datetime.strptime(s, format) print 'strptime :', d.strftime(format)

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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 typing import Any, AsyncIterable, Callable, Dict, Generic, Optional, TypeVar import warnings from azure.core.async_paging import AsyncItemPaged, AsyncList from azure.core.exceptions import HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error from azure.core.pipeline import PipelineResponse from azure.core.pipeline.transport import AsyncHttpResponse, HttpRequest from azure.mgmt.core.exceptions import ARMErrorFormat from ... import models T = TypeVar('T') ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]] class UsageOperations: """UsageOperations async operations. You should not instantiate this class directly. Instead, you should create a Client instance that instantiates it for you and attaches it as an attribute. :ivar models: Alias to model classes used in this operation group. :type models: ~azure.mgmt.compute.v2019_12_01.models :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. """ models = models def __init__(self, client, config, serializer, deserializer) -> None: self._client = client self._serialize = serializer self._deserialize = deserializer self._config = config def list( self, location: str, **kwargs ) -> AsyncIterable["models.ListUsagesResult"]: """Gets, for the specified location, the current compute resource usage information as well as the limits for compute resources under the subscription. :param location: The location for which resource usage is queried. :type location: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either ListUsagesResult or the result of cls(response) :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.compute.v2019_12_01.models.ListUsagesResult] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.ListUsagesResult"] error_map = {404: ResourceNotFoundError, 409: ResourceExistsError} error_map.update(kwargs.pop('error_map', {})) api_version = "2019-12-01" def prepare_request(next_link=None): if not next_link: # Construct URL url = self.list.metadata['url'] # type: ignore path_format_arguments = { 'location': self._serialize.url("location", location, 'str', pattern=r'^[-\w\._]+$'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') else: url = next_link query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = 'application/json' # Construct and send request request = self._client.get(url, query_parameters, header_parameters) return request async def extract_data(pipeline_response): deserialized = self._deserialize('ListUsagesResult', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, AsyncList(list_of_elem) async def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) return pipeline_response return AsyncItemPaged( get_next, extract_data ) list.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Compute/locations/{location}/usages'} # type: ignore

[ "noreply@github.com" ]

YijunXieMS.noreply@github.com

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/app/views.py

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405102091/flask

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#coding:utf-8 from app import app from flask import request,render_template,send_from_directory,url_for,redirect @app.route('/') def index_page(): return render_template('index.html') @app.route('/<path:path>') def other_page(path): if path=='favicon.ico': return redirect(url_for('send_icons',path='favicon.ico')) return render_template(path) # auto search in templates folder @app.route('/file/<path:path>') def send_file(path): return send_from_directory('./file',path) @app.route('/js/<path:path>') def send_js(path): return send_from_directory('./static/js',path) @app.route('/css/<path:path>') def send_css(path): return send_from_directory('./static/css',path) @app.route('/images/<path:path>') def send_images(path): return send_from_directory('./static/images',path) @app.route('/icons/<path:path>') def send_icons(path): return send_from_directory('./static/icons',path)

[ "root@localhost.localdomain" ]

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blueboy1593/algorithm

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2021-06-23T22:44:06.120932

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from heapq import heappop, heappush def solution(n, m, puddles): answer = 0 road_map = [ [ 0 ] * n for _ in range(m) ] for puddle in puddles: road_map[puddle[1] - 1][puddle[0] - 1] = 1 visited = [ [ (float('inf'), 1) ] * n for _ in range(m) ] print(*road_map, sep='\n') print(*visited, sep='\n') D = [(0, 1), (1, 0), (0, -1), (-1, 0)] heap_stack = [] # [최단거리, i, j] heappush(heap_stack, [0, 0, 0]) while heap_stack: print(heap_stack) a = heappop(heap_stack) dis, i, j = a for k in range(4): idy = i + D[k][0] jdx = j + D[k][1] if 0 <= idy < m and 0 <= jdx < n: if road_map[idy][jdx] == 0: if dis + 1 < visited[idy][jdx][0]: visited[idy][jdx] = (dis + 1, visited[i][j][1]) heappush(heap_stack, [dis + 1, idy, jdx]) elif dis + 1 == visited[idy][jdx][0]: visited[idy][jdx] = (dis + 1, visited[idy][jdx][1] + visited[i][j][1]) # print(visited) if visited[m-1][n-1][0] == float('inf'): return 0 answer = visited[m-1][n-1][1] % 1000000007 print(answer) print(*visited, sep='\n') return answer solution(4,3,[[2, 2]]) solution(4,3,[[1,2],[2, 2]])

[ "snb0303@naver.com" ]

snb0303@naver.com

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/docs/interviewPrep/designPatterns/Behavioral_patterns/Visitor/python/Component.py

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[]

no_license

reshinto/reshinto.github.io

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from abc import ABC, abstractmethod class Component(ABC): """ The Component interface declares an `accept` method that should take the base visitor interface as an argument. """ @abstractmethod def accept(self, visitor): pass

[ "terencekong2002@gmail.com" ]

terencekong2002@gmail.com

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from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('libretto', '0030_auto_20150626_1634'), ] operations = [ migrations.RunSQL(""" DELETE FROM libretto_elementdedistribution WHERE individu_id IS NULL AND ensemble_id IS NULL; ALTER TABLE libretto_elementdedistribution ADD CONSTRAINT individu_xor_ensemble CHECK (individu_id IS NOT NULL <> ensemble_id IS NOT NULL); """, """ ALTER TABLE libretto_elementdedistribution DROP CONSTRAINT individu_xor_ensemble; """) ]

[ "bordage.bertrand@gmail.com" ]

bordage.bertrand@gmail.com

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# filename: add_leading_spaces.py # date of creation: # Oct 9, 2008 # purpose: # to add a specified number of spaces in # front of designated lines; these occur when # python code from one program is copied to # a module, for example, where the defs start in # column 1. import os # to get current directory, etc. import string # filenames are strings, dude from tkFileDialog import * # for 'askopenfilename()', etc import sys # for sys.exit() from tkMessageBox import * # askokcancel, showinfo, showerror, etc. def say_goodbye(): print '\nYou have elected to end this session.' print 'Program terminated\n\n' sys.exit() currentDirectory = os.getcwd() print '\n ** Welcome to "add_leading_spaces.py"' print '\nThis program adds a user-specified amount' print ' of leading spaces to each line of a code.' print print ' "Starting line" and "Ending line" are line numbers' print ' as shown in any text editor.' # define dictionary of options for askopenfilename(); open only python extensions initially options = {} options = { 'defaultextension' : '', 'filetypes' : [('All files','.*')], # 'initialdir' : currentDirectory, 'initialfile' : '', # 'parent' : root, 'title' : 'Open any text file...' } # get filename # dirname, filename = os.path.split(askopenfilename(**options)) inputFile = askopenfilename(**options) file=open(inputFile,'rU').readlines() print '\nInput file:',inputFile lenFile=len(file) print '\nInput file has %s lines.' % len(file) lineStart=int(raw_input('\nStarting line: ')) lineEnd=int(raw_input('Ending line: ')) numSpaces=int(raw_input('Number of leading white spaces to add: ')) if lineStart > lineEnd: print '\nWARNING - "Ending line" cannot be less than "Starting line" ' print '\n Starting line =',lineStart print ' Ending line =',lineEnd print ' Check your input and start over.\n' sys.exit() if lineStart > lenFile or lineEnd > lenFile: print '\nWARNING - Starting or Ending line numbers out of range' print ' Max line number:',lenFile print ' Starting line:',lineStart print ' Ending line:',lineEnd print ' Check your input and start over.\n' sys.exit() ans = askokcancel( 'start and end line numbers ok?', 'File = ' + inputFile + '\n' + '\nStarting line = ' + str(lineStart) + '\n' + 'Ending line = ' + str(lineEnd) + '\n' + 'Leading white spaces to add per line = ' + str(numSpaces) + '\n\n' + 'Is this ok?' ) if ans: diff = lineEnd - lineStart + 1 print for i in range(diff): lineNumber=lineStart+i line = file[lineNumber-1] print '\nBefore change ...' print '%s. %s' % (lineNumber,line) if line[0] <> '#': lineNew=' '*numSpaces + line print ' After change ...' print '%s. %s' % (lineNumber,lineNew) file[lineNumber-1]=lineNew else: print ' Comment - no change' # check if ok to write file back out to disk ans=askokcancel( 'Write file...', 'OK to write file out to disk?' ) if ans: options={'title' : 'Save a file...'} outputFile=asksaveasfilename(**options) fileOut=open(outputFile,'w') fileOut.writelines(file) print '\nOutput file:',outputFile print ' successfully written!\n' print ' Program ended\n' else: say_goodbye() else: say_goodbye()

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dwbarne@gmail.com

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from pypy.objspace.std.setobject import W_SetObject from pypy.objspace.std.setobject import ( BytesIteratorImplementation, BytesSetStrategy, EmptySetStrategy, IntegerIteratorImplementation, IntegerSetStrategy, ObjectSetStrategy, UnicodeIteratorImplementation, UnicodeSetStrategy) from pypy.objspace.std.listobject import W_ListObject class TestW_SetStrategies: def wrapped(self, l): return W_ListObject(self.space, [self.space.wrap(x) for x in l]) def test_from_list(self): s = W_SetObject(self.space, self.wrapped([1,2,3,4,5])) assert s.strategy is self.space.fromcache(IntegerSetStrategy) s = W_SetObject(self.space, self.wrapped([1,"two",3,"four",5])) assert s.strategy is self.space.fromcache(ObjectSetStrategy) s = W_SetObject(self.space) assert s.strategy is self.space.fromcache(EmptySetStrategy) s = W_SetObject(self.space, self.wrapped([])) assert s.strategy is self.space.fromcache(EmptySetStrategy) s = W_SetObject(self.space, self.wrapped(["a", "b"])) assert s.strategy is self.space.fromcache(BytesSetStrategy) s = W_SetObject(self.space, self.wrapped([u"a", u"b"])) assert s.strategy is self.space.fromcache(UnicodeSetStrategy) def test_switch_to_object(self): s = W_SetObject(self.space, self.wrapped([1,2,3,4,5])) s.add(self.space.wrap("six")) assert s.strategy is self.space.fromcache(ObjectSetStrategy) s1 = W_SetObject(self.space, self.wrapped([1,2,3,4,5])) s2 = W_SetObject(self.space, self.wrapped(["six", "seven"])) s1.update(s2) assert s1.strategy is self.space.fromcache(ObjectSetStrategy) def test_switch_to_unicode(self): s = W_SetObject(self.space, self.wrapped([])) s.add(self.space.wrap(u"six")) assert s.strategy is self.space.fromcache(UnicodeSetStrategy) def test_symmetric_difference(self): s1 = W_SetObject(self.space, self.wrapped([1,2,3,4,5])) s2 = W_SetObject(self.space, self.wrapped(["six", "seven"])) s1.symmetric_difference_update(s2) assert s1.strategy is self.space.fromcache(ObjectSetStrategy) def test_intersection(self): s1 = W_SetObject(self.space, self.wrapped([1,2,3,4,5])) s2 = W_SetObject(self.space, self.wrapped([4,5, "six", "seven"])) s3 = s1.intersect(s2) skip("for now intersection with ObjectStrategy always results in another ObjectStrategy") assert s3.strategy is self.space.fromcache(IntegerSetStrategy) def test_clear(self): s1 = W_SetObject(self.space, self.wrapped([1,2,3,4,5])) s1.clear() assert s1.strategy is self.space.fromcache(EmptySetStrategy) def test_remove(self): s1 = W_SetObject(self.space, self.wrapped([1])) self.space.call_method(s1, 'remove', self.space.wrap(1)) assert s1.strategy is self.space.fromcache(EmptySetStrategy) def test_union(self): s1 = W_SetObject(self.space, self.wrapped([1,2,3,4,5])) s2 = W_SetObject(self.space, self.wrapped([4,5,6,7])) s3 = W_SetObject(self.space, self.wrapped([4,'5','6',7])) s4 = s1.descr_union(self.space, [s2]) s5 = s1.descr_union(self.space, [s3]) assert s4.strategy is self.space.fromcache(IntegerSetStrategy) assert s5.strategy is self.space.fromcache(ObjectSetStrategy) def test_discard(self): class FakeInt(object): def __init__(self, value): self.value = value def __hash__(self): return hash(self.value) def __eq__(self, other): if other == self.value: return True return False s1 = W_SetObject(self.space, self.wrapped([1,2,3,4,5])) s1.descr_discard(self.space, self.space.wrap("five")) skip("currently not supported") assert s1.strategy is self.space.fromcache(IntegerSetStrategy) set_discard__Set_ANY(self.space, s1, self.space.wrap(FakeInt(5))) assert s1.strategy is self.space.fromcache(ObjectSetStrategy) def test_has_key(self): class FakeInt(object): def __init__(self, value): self.value = value def __hash__(self): return hash(self.value) def __eq__(self, other): if other == self.value: return True return False s1 = W_SetObject(self.space, self.wrapped([1,2,3,4,5])) assert not s1.has_key(self.space.wrap("five")) skip("currently not supported") assert s1.strategy is self.space.fromcache(IntegerSetStrategy) assert s1.has_key(self.space.wrap(FakeInt(2))) assert s1.strategy is self.space.fromcache(ObjectSetStrategy) def test_iter(self): space = self.space s = W_SetObject(space, self.wrapped([1,2])) it = s.iter() assert isinstance(it, IntegerIteratorImplementation) assert space.unwrap(it.next()) == 1 assert space.unwrap(it.next()) == 2 # s = W_SetObject(space, self.wrapped(["a", "b"])) it = s.iter() assert isinstance(it, BytesIteratorImplementation) assert space.unwrap(it.next()) == "a" assert space.unwrap(it.next()) == "b" # s = W_SetObject(space, self.wrapped([u"a", u"b"])) it = s.iter() assert isinstance(it, UnicodeIteratorImplementation) assert space.unwrap(it.next()) == u"a" assert space.unwrap(it.next()) == u"b" def test_listview(self): space = self.space s = W_SetObject(space, self.wrapped([1,2])) assert sorted(space.listview_int(s)) == [1, 2] # s = W_SetObject(space, self.wrapped(["a", "b"])) assert sorted(space.listview_bytes(s)) == ["a", "b"] # s = W_SetObject(space, self.wrapped([u"a", u"b"])) assert sorted(space.listview_unicode(s)) == [u"a", u"b"]

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# -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2016-11-04 14:58 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('gallery', '0007_auto_20161011_0201'), ] operations = [ migrations.AlterModelOptions( name='album', options={'ordering': ['name']}, ), ]

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# coding: utf-8 """ Cisco Firepower Management Center Open API Specification **Specifies the REST URLs and methods supported in the Cisco Firepower Management Center API. Refer to the version specific [REST API Quick Start Guide](https://www.cisco.com/c/en/us/support/security/defense-center/products-programming-reference-guides-list.html) for additional information.** # noqa: E501 OpenAPI spec version: 1.0.0 Contact: tac@cisco.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import swagger_client from swagger_client.models.ftd_cluster_device_container_list_container import FTDClusterDeviceContainerListContainer # noqa: E501 from swagger_client.rest import ApiException class TestFTDClusterDeviceContainerListContainer(unittest.TestCase): """FTDClusterDeviceContainerListContainer unit test stubs""" def setUp(self): pass def tearDown(self): pass def testFTDClusterDeviceContainerListContainer(self): """Test FTDClusterDeviceContainerListContainer""" # FIXME: construct object with mandatory attributes with example values # model = swagger_client.models.ftd_cluster_device_container_list_container.FTDClusterDeviceContainerListContainer() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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version https://git-lfs.github.com/spec/v1 oid sha256:fd8175358cf1d2bbbe0840de053501eb7f1fe237337da13b20799adfe278cfe5 size 1846

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from common_types import MessageUrgency class NotificationManager(object): """ :developer: Josh This class uses urgency to dictate which messaging mediums get used LOW_URGENCY = 0 MEDIUM_URGENCY = 1 HIGH_URGENCY = 2 """ def __init__(self, main_contact): self._main_contact = main_contact def send_message(self, msg): raise NotImplementedError class FlexibleNotificationManager(NotificationManager): def __init__(self, main_contact, sms_sender, telegram_sender, email_sender): super().__init__(main_contact) self._sms_sender = sms_sender self._telegram_sender = telegram_sender self._email_sender = email_sender def send_message(self, msg): if msg.get_urgency() == MessageUrgency.HIGH_URGENCY: self._sms_sender.send_notification(msg, self._main_contact) self._telegram_sender.send_notification(msg, self._main_contact) elif msg.get_urgency() == MessageUrgency.MEDIUM_URGENCY: self._telegram_sender.send_notification(msg, self._main_contact) elif msg.get_urgency() == MessageUrgency.LOW_URGENCY: self._email_sender.send_notification(msg, self._main_contact)

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num=int(input('Digite seu número para adicionar: ')) while num!=0: numero=int(input('Digite seu número para adicionar ou 0 para somar: ')) if numero==0: print(num) break else: num+=numero

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''' 0 1 2 3 4 5 6 7 8 9 arr = [1, 4, 5, 2, 3, 7, 8, 6, 10, 9] k = 2 i i ''' import heapq def sort_k_messed_array(arr, k): heap = [i for i in arr[:k + 1]] heapq.heapify(heap) res = [] i = k + 1 while heap and i < len(arr): min_val = heapq.heappop(heap) res.append(min_val) heapq.heappush(heap, arr[i]) i += 1 while heap: min_val = heapq.heappop(heap) res.append(min_val) return res arr = [1, 4, 5, 2, 3, 7, 8, 6, 10, 9] k = 2 print (sort_k_messed_array(arr, k))

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from dataclasses import dataclass from typing import List, Optional, Tuple from btcgreen.types.blockchain_format.sized_bytes import bytes32 from btcgreen.util.ints import uint64 from btcgreen.util.streamable import streamable, Streamable from btcgreen.wallet.lineage_proof import LineageProof from btcgreen.types.blockchain_format.program import Program from btcgreen.types.blockchain_format.coin import Coin @dataclass(frozen=True) @streamable class DIDInfo(Streamable): origin_coin: Optional[Coin] # puzzlehash of this coin is our DID backup_ids: List[bytes] num_of_backup_ids_needed: uint64 parent_info: List[Tuple[bytes32, Optional[LineageProof]]] # {coin.name(): LineageProof} current_inner: Optional[Program] # represents a Program as bytes temp_coin: Optional[Coin] # partially recovered wallet uses these to hold info temp_puzhash: Optional[bytes32] temp_pubkey: Optional[bytes]

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import requests BASE_URL='http://127.0.0.1:8000/' ENDPOINT='apijson' resp = requests.get(BASE_URL+ENDPOINT) data = resp.json() print('Data From Django Application:') print('#'*50) print('Employee Number:', data['eno']) print('Employee Name:', data['ename']) print('Employee Salary:', data['esal']) print('Employee Address:', data['eaddr'])

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""" Represents a manifest that lists the available SAM pipeline templates. Example: providers: - displayName:Jenkins id: jenkins - displayName:Gitlab CI/CD id: gitlab - displayName:Github Actions id: github-actions templates: - displayName: jenkins-two-environments-pipeline provider: Jenkins location: templates/cookiecutter-jenkins-two-environments-pipeline - displayName: gitlab-two-environments-pipeline provider: Gitlab location: templates/cookiecutter-gitlab-two-environments-pipeline - displayName: Github-Actions-two-environments-pipeline provider: Github Actions location: templates/cookiecutter-github-actions-two-environments-pipeline """ from pathlib import Path from typing import Dict, List import yaml from samcli.commands.exceptions import AppPipelineTemplateManifestException from samcli.yamlhelper import parse_yaml_file class Provider: """CI/CD system such as Jenkins, Gitlab and GitHub-Actions""" def __init__(self, manifest: Dict) -> None: self.id: str = manifest["id"] self.display_name: str = manifest["displayName"] class PipelineTemplateMetadata: """The metadata of a Given pipeline template""" def __init__(self, manifest: Dict) -> None: self.display_name: str = manifest["displayName"] self.provider: str = manifest["provider"] self.location: str = manifest["location"] class PipelineTemplatesManifest: """The metadata of the available CI/CD systems and the pipeline templates""" def __init__(self, manifest_path: Path) -> None: try: manifest: Dict = parse_yaml_file(file_path=str(manifest_path)) self.providers: List[Provider] = list(map(Provider, manifest["providers"])) self.templates: List[PipelineTemplateMetadata] = list(map(PipelineTemplateMetadata, manifest["templates"])) except (FileNotFoundError, KeyError, TypeError, yaml.YAMLError) as ex: raise AppPipelineTemplateManifestException( "SAM pipeline templates manifest file is not found or ill-formatted. This could happen if the file " f"{manifest_path} got deleted or modified." "If you believe this is not the case, please file an issue at https://github.com/aws/aws-sam-cli/issues" ) from ex

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