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

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/COMPLETE PYTHON-3 COURSE/Chapter-05-LIST/summary.py

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VivakaNand/COMPLETE_PYTHON_3

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# list chapter summary # list is a data structure that can hold any type of data # create list words = ["word1", "word2"] # you can store anything inside list mixed = [1,2,3, [4,5,6], 'seven', 8.0,None] # list is ordered collection of items # print(mixed[0]) # output = 1 # print(mixed[3]) # output = [4,5,6] # add data to our list # append method # mixed.append("10") # mixed.append([10,20,30]) # it adds as it list at the end as one element # print(mixed) # extend method # mixed.extend([10,20,30]) # it adds all elements of list at the end # print(mixed) # join method # join two list # l = l1 + l2 # insert method # mixed.insert(1, 'inserted') # it adds elements in the specefic position # print(mixed) # remove data from list # # pop method # poped = mixed.pop() # removes last item # popped = mixed.pop(1) # remove item at 1 position # print(poped) # print(popped) #remove method # mixed.remove('seven') # print(mixed) # del statement # del mixed[3] # print(mixed) # loop in list for i in mixed: print(i)

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from __future__ import unicode_literals from django.db import models # Create your models here. class login_user(models.Model): name= models.CharField(max_length=120,null=False,blank=False) firm_name= models.CharField(max_length=240,null=False,blank=False) city= models.CharField(max_length=240,null=False,blank=False) mobile=models.PositiveSmallIntegerField(default=0) catigory=models.CharField(max_length=120,null=False,blank=False,default="buyer")

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/code/tensor2tensor/tensor2tensor/data_generators/text_encoder_build_subword.py

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# coding=utf-8 # Copyright 2018 The Tensor2Tensor Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. r"""Program to build a SubwordTextEncoder. The flags --min_count and --corpus_max_lines will affect the size of the vocabulary. Try changing these flags until you get a vocabulary of the size you want. Example usage: python data_generators/text_encoder_build_subword.py \ --corpus_filepattern=$DATA_DIR/my_problem-train-* \ --corpus_max_lines=12345 \ --output_filename=$DATA_DIR/my_problem.subword_text_encoder \ --logtostderr """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from tensor2tensor.data_generators import text_encoder from tensor2tensor.data_generators import tokenizer import tensorflow as tf tf.flags.DEFINE_string('output_filename', '/tmp/my.subword_text_encoder', 'where to store the SubwordTextEncoder') tf.flags.DEFINE_string('corpus_filepattern', '', 'Corpus of one or more text files') tf.flags.DEFINE_string('vocab_filepattern', '', 'One or more vocabulary files ' '(one word per line as "word,count")') tf.flags.DEFINE_integer('min_count', 5, 'Minimum subtoken count in corpus') tf.flags.DEFINE_integer('corpus_max_lines', 10000, 'How many lines of corpus to read') tf.flags.DEFINE_integer('num_iterations', 4, 'Number of iterations') tf.flags.DEFINE_bool('split_on_newlines', True, 'Break corpus into lines.') FLAGS = tf.flags.FLAGS def main(unused_argv): if FLAGS.corpus_filepattern and FLAGS.vocab_filepattern: raise ValueError( 'Must only provide one of --corpus_filepattern or --vocab_filepattern') elif FLAGS.corpus_filepattern: token_counts = tokenizer.corpus_token_counts( FLAGS.corpus_filepattern, FLAGS.corpus_max_lines, split_on_newlines=FLAGS.split_on_newlines) elif FLAGS.vocab_filepattern: token_counts = tokenizer.vocab_token_counts(FLAGS.vocab_filepattern, FLAGS.corpus_max_lines) else: raise ValueError( 'Must provide one of --corpus_filepattern or --vocab_filepattern') encoder = text_encoder.SubwordTextEncoder() encoder.build_from_token_counts(token_counts, FLAGS.min_count, FLAGS.num_iterations) encoder.store_to_file(FLAGS.output_filename) if __name__ == '__main__': tf.app.run()

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/network/library/glib-networking/actions.py

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LimeLinux/Packages

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#!/usr/bin/python # -*- coding: utf-8 -*- # Licensed under the GNU General Public License, version 3. # See the file http://www.gnu.org/copyleft/gpl.txt from pisi.actionsapi import get from pisi.actionsapi import autotools from pisi.actionsapi import pisitools def setup(): autotools.configure("--disable-static \ --disable-installed-tests \ --with-ca-certificates=/etc/ssl/certs/ca-certificates.crt \ --with-gnutls \ --with-pkcs11") def build(): autotools.make() def install(): autotools.rawInstall("DESTDIR=%s" % get.installDIR()) pisitools.dodoc("AUTHORS", "ChangeLog", "COPYING", "NEWS", "README")

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/res/scripts/client/gui/scaleform/daapi/view/lobby/historicalbattles/__init__.py

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webiumsk/WOT-0.9.12-CT

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# 2015.11.10 21:27:13 Střední Evropa (běžný čas) # Embedded file name: scripts/client/gui/Scaleform/daapi/view/lobby/historicalBattles/__init__.py from gui.Scaleform.framework import GroupedViewSettings, ViewTypes, ScopeTemplates from gui.Scaleform.framework.package_layout import PackageBusinessHandler from gui.Scaleform.genConsts.PREBATTLE_ALIASES import PREBATTLE_ALIASES from gui.app_loader.settings import APP_NAME_SPACE from gui.shared import EVENT_BUS_SCOPE def getViewSettings(): from gui.Scaleform.daapi.view.lobby.historicalBattles.HistoricalBattlesListWindow import HistoricalBattlesListWindow return (GroupedViewSettings(PREBATTLE_ALIASES.HISTORICAL_BATTLES_LIST_WINDOW_PY, HistoricalBattlesListWindow, 'historicalBattlesListWindow.swf', ViewTypes.WINDOW, '', PREBATTLE_ALIASES.HISTORICAL_BATTLES_LIST_WINDOW_PY, ScopeTemplates.DEFAULT_SCOPE, True),) def getBusinessHandlers(): return (_HistoricalBattlesBusinessHandler(),) class _HistoricalBattlesBusinessHandler(PackageBusinessHandler): def __init__(self): listeners = ((PREBATTLE_ALIASES.HISTORICAL_BATTLES_LIST_WINDOW_PY, self.__showHBListWindow),) super(_HistoricalBattlesBusinessHandler, self).__init__(listeners, APP_NAME_SPACE.SF_LOBBY, EVENT_BUS_SCOPE.LOBBY) def __showHBListWindow(self, _): alias = name = PREBATTLE_ALIASES.HISTORICAL_BATTLES_LIST_WINDOW_PY self.loadViewWithDefName(alias, name) # okay decompyling c:\Users\PC\wotsources\files\originals\res\scripts\client\gui\scaleform\daapi\view\lobby\historicalbattles\__init__.pyc # decompiled 1 files: 1 okay, 0 failed, 0 verify failed # 2015.11.10 21:27:13 Střední Evropa (běžný čas)

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info@webium.sk

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from tokens.token import Token class Not(Token): representations = ['¬', '!'] single_char_representation = '¬' def __init__(self): super().__init__(operands=1, precedence=1) def apply(self, right): return not right def __repr__(self): return '¬'

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phamdinhkhanh/alltherage

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from mongoengine import * from flask_restful import Resource, reqparse import mlab class Rage(Document): name = StringField(); url = StringField(); description = StringField(); old_price = FloatField(); new_price = FloatField(); discount_rate = FloatField(); is_favorite = BooleanField(); number_seen = IntField(); code = StringField(); def get_json(self): return mlab.item2json(self) def get_oid(self): str = mlab.item2json(self) oid = str["_id"]["$oid"] return { "$oid":oid } def get_json_oid(self): str = mlab.item2json(self) oid = str["_id"]["$oid"] return { "oid": oid, "name": self.name, "url": self.url, "description": self.description, "old_price": self.old_price, "new_price": self.new_price, "discount_rate": self.discount_rate, "is_favorite": self.is_favorite, "number_seen":self.number_seen, "code":self.code } class RageInfo(Document): rage = ReferenceField("Rage"); info = StringField(); def get_json(self): return { "rage":self.rage.get_json(), "info":self.info }

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webclinic017/Capstone-2

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import pandas as pd import matplotlib.pyplot as plt import numpy as np import sklearn.linear_model import scipy.stats as stats import pandas_market_calendars as mcal from alpha_vantage.timeseries import TimeSeries api_key = '8FIYTT49ZEZT2GV5' ts = TimeSeries(key=api_key, output_format='pandas') data, meta_data = ts.get_daily(symbol='SPY', outputsize = 'full') data = data.reset_index() data['date'] = data['date'].dt.strftime('%Y%m%d') data['date'] = data['date'].values.astype(int) X = np.c_[data['date']] Y = np.c_[data['4. close']] X = [i[0] for i in X] Y = [i[0] for i in Y] X = X[::-1] #REVERSING ORDER Y = Y[::-1] #REVERSING ORDER last_day = len(X) - 1 th_day = list(range(0,last_day+1)) def YYYY_MM_DD_to_th_day(YMD): early = nyse.schedule(start_date='1999-11-01', end_date=YMD) return len(early)-1 model = np.polyfit(X, Y, 4) std = np.std(Y) testdate = [[20210101]] testprediction = np.polyval(model, testdate) testprice = testprediction[0] + (1 * std) zscore = float((testprice - testprediction[0]) / std) probability = 0 cdf = stats.norm.cdf(zscore) if(cdf <= .5): probability = cdf elif(cdf >= .5): probability = 1-cdf print(testprediction) #NEW CODE STARTING BELOW #OK, .01 std tests #get the best trade per day #choose...idk ''' shortPrices = 0 longPrices = 0 currentPrice = Y[0] reward = longPrices - currentPrice risk = currentPrice - shortPrices print(reward) print(risk) ''' #OPTIMIZATION TESTS #ULTRA SHORT TERM (original: 20211218), TODAY : 360 #1st Degree : 255 in a week, 255 in a month, 263 in 6 months #2nd Degree : 320 in a week, 320 in a month, 347 in 6 months #3rd Degree : 325 in a week, 325 in a month, 356 in 6 months #4th Degree : 323 in a week, 323 in a month, 351 in 6 months #5th Degree : 323 in a week, 323 in a month, 351 in 6 months #SHORT TERM #1st Degree : 264 in 2021, 273 in 2022 #2nd Degree : 349 in 2021, 381 in 2022 #3rd Degree : 359 in 2021, 396 in 2022 #4th Degree : 353 in 2021, 385 in 2022 #5th Degree : 353 in 2021, 385 in 2022 #ULTRA LONG TERM (assuming downturns every 10 years) #1st Degree : 344 in 2030, 434 in 2040 #2nd Degree : 704 in 2030, 1282 in 2040 #3rd Degree : 804 in 2030, 1652 in 2040 #4th Degree : 649 in 2030, 759 in 2040 #5th Degree : 648 in 2030, 745 in 2040 #COMPARISON TO EXTERNAL PREDICTIONS (11/26/25, $486) #1st Degree: 300 #2nd Degree: 487 #3rd Degree: 523 #4th Degree: 484 #5th Degree: 484 #BEST RESULT : 4th Degree #ACCURACY TEST #Today: 0.5Z #March Low : -1.5Z #February High : 0.27Z #2009 Low : -0.71Z #2007 High : 0.66Z

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"""886. Possible Bipartition""" class Solution(object): def possibleBipartition(self, N, dislikes): """ :type N: int :type dislikes: List[List[int]] :rtype: bool """ seen = {} self.graph = collections.defaultdict(list) for (u, v) in dislikes: # Create graph self.graph[u].append(v) self.graph[v].append(u) for i in range(1, N+1): if i not in seen: if self.check(seen, i, self.graph) == False: return False return True def check(self, seen, i, graph): q = [(i, 1)] while q: pos, color = q.pop(0) if pos in seen: if seen[pos] != color: return False continue seen[pos] = color vertices = graph[pos] for v in vertices: q.append((v, -color)) return True

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#!/usr/bin/env python # This example compares two routes connecting Portland, Oregon to Vancouver, # Washington over a bridge across the Columbia River. The planned bicycle route # sends the bicyclist through various elevation changes and several yield # signs, stop signs, and traffic signals where as the automobiles get to travel # across level ground with no stops. These simulations compare the bicyclist's # energy expenditure, trip distance, and trip time through the two routes. import numpy as np from efficientroutes.model import Bicyclist, Route, Trip # Load a bicyclist. bicyclist = Bicyclist() # Load in the the planned bicycle route data and process the traffic controls # column. bicycleRouteData = np.recfromcsv('../data/columbia_river_crossing_bicycle.csv') stopLocations = [] for i, device in enumerate(bicycleRouteData['traffic_control']): if device != '': stopLocations.append(bicycleRouteData['distance'][i]) bicycleRoute = Route(bicycleRouteData['distance'], bicycleRouteData['elevation'], bicycleRouteData['speed_limit'], stopLocations=np.array(stopLocations)) # Setup and compute the results for the trip across the planned bicycle route. bicycleTrip = Trip(bicyclist, bicycleRoute) bicycleTrip.solve() print "====================" print "Bicycle route stats:" print "====================" bicycleTrip.stats() bicycleFig = bicycleTrip.plot() bicycleFig.suptitle('Bicycle Route') bicycleFig.set_figheight(8.0) bicycleFig.savefig('../data/columbia_river_crossing_bicycle.png', dpi=200) bicycleFig.show() # Load in the data for the automobile path. autoRouteData = np.recfromcsv('../data/columbia_river_crossing_auto.csv') autoRoute = Route(autoRouteData['distance'], autoRouteData['elevation'], autoRouteData['speed_limit'] - 17.88) # Setup and compute the results for the trip across the automobile route. autoTrip = Trip(bicyclist, autoRoute) autoTrip.solve() print "=======================" print "Automobile route stats:" print "=======================" autoTrip.stats() autoFig = autoTrip.plot() autoFig.suptitle('Automobile Route') autoFig.set_figheight(8.0) autoFig.savefig('../data/columbia_river_crossing_auto.png', dpi=200) autoFig.show() # Load in the data for the automobile path. bestRouteData = np.recfromcsv('../data/columbia_river_crossing_best.csv') stopLocations = [] for i, device in enumerate(bestRouteData['traffic_control']): if device != '': stopLocations.append(bestRouteData['distance'][i]) bestRoute = Route(bestRouteData['distance'], bestRouteData['elevation'], bestRouteData['speed_limit'] - 17.88, stopLocations=np.array(stopLocations)) # Setup and compute the results for the trip across the automobile route. bestTrip = Trip(bicyclist, bestRoute) bestTrip.solve() print "=================" print "Best route stats:" print "=================" bestTrip.stats() bestFig = bestTrip.plot() bestFig.suptitle('Best Route') bestFig.set_figheight(8.0) bestFig.savefig('../data/columbia_river_crossing_best.png', dpi=200) bestFig.show()

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import label import unittest class LabelTest(unittest.TestCase): def test_can_parse_full_label_from_string(self): l = label.from_string('cell//package:name') self.assertEqual(l.name, 'name') self.assertEqual(l.package, 'package') self.assertEqual(l.cell, 'cell') def test_can_parse_label_without_cell(self): l = label.from_string('//package:name') self.assertEqual(l.name, 'name') self.assertEqual(l.package, 'package') self.assertIsNone(l.cell) def test_can_parse_label_with_multilevel_package(self): l = label.from_string('cell//pkg/subpkg:name') self.assertEqual(l.name, 'name') self.assertEqual(l.package, 'pkg/subpkg') self.assertEqual(l.cell, 'cell') def test_cannot_parse_invalid_label(self): with self.assertRaisesRegex(AssertionError, "Invalid label 'cell/pkg:name'"): label.from_string('cell/pkg:name') def test_can_resolve_path_to_build_file(self): l = label.from_string('cell//pkg:name') cell_roots = { 'cell': '/repo/cell', } self.assertEqual('/repo/cell/pkg/BUCK', l.get_build_file_path(cell_roots, 'BUCK')) def test_can_convert_to_import_string(self): self.assertEqual('cell//pkg:name', label.from_string('cell//pkg:name').to_import_string())

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class Solution: def wordPattern(self, pattern: str, str: str) -> bool: lst=str.split() if len(lst)!=len(pattern): return False dic={} for i,c in enumerate(pattern): if c not in dic: if lst[i] in dic.values(): return False dic[c]=lst[i] else: if lst[i]!=dic[c]: return False return True

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z0on/AFS-analysis-with-moments

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#!/usr/bin/env python3 # split, three epochs in each pop, asymmetric migration at same rates in all epochs # n(para): 11 import matplotlib matplotlib.use('PDF') import moments import pylab import random import matplotlib.pyplot as plt import numpy as np from numpy import array from moments import Misc,Spectrum,Numerics,Manips,Integration,Demographics1D,Demographics2D import sys infile=sys.argv[1] pop_ids=[sys.argv[2],sys.argv[3]] projections=[int(sys.argv[4]),int(sys.argv[5])] if len(sys.argv)==9: params = np.loadtxt(sys.argv[8], delimiter=" ", unpack=False) else: params=[1,1,1,1,1,1,1,1,1,1,0.01] # mutation rate per sequenced portion of genome per generation: for A.millepora, 0.02 mu=float(sys.argv[6]) # generation time, in thousand years: 0.005 (5 years) gtime=float(sys.argv[7]) # set Polarized=False below for folded AFS analysis fs = moments.Spectrum.from_file(infile) data=fs.project(projections) ns=data.sample_sizes np.set_printoptions(precision=3) #------------------- # split into unequal pop sizes with asymmetrical migration def sc3ei(params , ns): # p_misid: proportion of misidentified ancestral states nu1_1, nu2_1, nu1_2,nu2_2,nu1_3,nu2_3,T1, T2, T3,m, p_misid = params sts = moments.LinearSystem_1D.steady_state_1D(ns[0] + ns[1]) fs = moments.Spectrum(sts) fs = moments.Manips.split_1D_to_2D(fs, ns[0], ns[1]) fs.integrate([nu1_1, nu2_1], T1, m = np.array([[0, m], [m, 0]])) fs.integrate([nu1_2, nu2_2], T2, m = np.array([[0, 0], [0, 0]])) fs.integrate([nu1_3, nu2_3], T3, m = np.array([[0, m], [m, 0]])) return (1-p_misid)*fs + p_misid*moments.Numerics.reverse_array(fs) func=sc3ei upper_bound = [100, 100, 100,100,100, 100, 100, 100,100, 200,0.25] lower_bound = [1e-3,1e-3, 1e-3,1e-3,1e-3,1e-3,1e-3,1e-3,1e-3,1e-5,1e-5] params = moments.Misc.perturb_params(params, fold=2, upper_bound=upper_bound, lower_bound=lower_bound) poptg = moments.Inference.optimize_log(params, data, func, lower_bound=lower_bound, upper_bound=upper_bound, verbose=False, maxiter=30) # extracting model predictions, likelihood and theta model = func(poptg, ns) ll_model = moments.Inference.ll_multinom(model, data) theta = moments.Inference.optimal_sfs_scaling(model, data) # random index for this replicate ind=str(random.randint(0,999999)) # plotting demographic model plot_mod = moments.ModelPlot.generate_model(func, poptg, ns) moments.ModelPlot.plot_model(plot_mod, save_file="sc3elsm_"+ind+".png", pop_labels=pop_ids, nref=theta/(4*mu), draw_scale=False, gen_time=gtime, gen_time_units="KY", reverse_timeline=True) # bootstrapping for SDs of params and theta # printing parameters and their SDs print( "RESULT","sc3elsm",ind,len(params),ll_model,sys.argv[1],sys.argv[2],sys.argv[3],poptg,theta) # plotting quad-panel figure witt AFS, model, residuals: moments.Plotting.plot_2d_comp_multinom(model, data, vmin=0.1, resid_range=3, pop_ids =pop_ids) plt.savefig("sc3elsm_"+ind+"_"+sys.argv[1]+"_"+sys.argv[2]+"_"+sys.argv[3]+"_"+sys.argv[4]+"_"+sys.argv[5]+'.pdf')

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matz@utexas.edu

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#coding=utf-8 #放眼世界P41 2017.4.11 myDreamPlace = ['losAngle','houston','newYork'] print('1.this is the oringle list') print(myDreamPlace) print('2.this is the sorted list') print(sorted(myDreamPlace)) print('now what?') print(myDreamPlace) print('3.this is the sorted and reverse list') print(sorted(myDreamPlace)) print('now what?') print(myDreamPlace) print('4.this is the reverse list') myDreamPlace.reverse() print(myDreamPlace) print("Let's take it reverse again") myDreamPlace.reverse() print(myDreamPlace) print('5.this is the sort list') myDreamPlace.sort() print(myDreamPlace) print('now what?') print(myDreamPlace)

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jercas0618@163.com

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ConnorFieldUser/single_page_secrets

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refs/heads/master

2020-07-26T21:48:56.960107

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# -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-11-10 16:26 from __future__ import unicode_literals 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), ] operations = [ migrations.CreateModel( name='Secret', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('body', models.TextField()), ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), ]

[ "jtaddei@gmail.com" ]

jtaddei@gmail.com

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/app/__init__.py

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import os import config from flask import Flask from flask_bootstrap import Bootstrap from flask_login import LoginManager from flask_migrate import Migrate from flask_sqlalchemy import SQLAlchemy from app.commands import sample_data app = Flask(__name__) app.config.from_object(config.Config) app.config.from_envvar('WOLFIT_SETTINGS') app.config['SQLALCHEMY_DATABASE_URI'] = config.Config.DATABASE_URI(app) app.register_blueprint(sample_data) db = SQLAlchemy(app) login = LoginManager(app) migrate = Migrate(app, db) bootstrap = Bootstrap(app) from app import models, routes

[ "chris@chrisbrooks.org" ]

chris@chrisbrooks.org

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quanpower/xielaoban-server

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from flask import Flask from flask_bootstrap import Bootstrap from flask_mail import Mail from flask_moment import Moment from flask_sqlalchemy import SQLAlchemy from flask_login import LoginManager from flask_pagedown import PageDown from config import config from flask_admin import Admin, BaseView, expose from flask_admin.contrib.fileadmin import FileAdmin from flask_babelex import Babel import os.path as op bootstrap = Bootstrap() mail = Mail() moment = Moment() db = SQLAlchemy() pagedown = PageDown() flas_admin = Admin(name='smart-iiot') babel = Babel() # flask-login login_manager = LoginManager() login_manager.login_view = 'auth.login' # flask-admin add views from app.admin import UserAdminView, TestAdminView, UserModelView, LoraGatewayModelView, LoraNodeModelView, NodeMqttTransFuncModelView, PowerIoModelView, RelayCurrentRs485FuncModelView, \ GrainStorehouseModelView, GrainBarnModelView, GrainTempModelView, AlarmLevelSettingModelView, AlarmStatusModelView, AlarmTypesModelView, AlarmRecordsModelView # # flas_admin.add_view(UserAdminView(name='UserAdmin', category='UserAdmin')) # flas_admin.add_view(TestAdminView(name='test', endpoint='test', category='UserAdmin')) flas_admin.add_view(GrainStorehouseModelView(db.session, name='GrainStorehouse', endpoint='grain_storehouse', category='GrainAdmin')) flas_admin.add_view(GrainBarnModelView(db.session, name='GrainBarn', endpoint='grain_barn', category='GrainAdmin')) flas_admin.add_view(GrainTempModelView(db.session, name='GrainTemp', endpoint='grain_temps', category='GrainAdmin')) flas_admin.add_view(LoraGatewayModelView(db.session, name='LoraGateway', endpoint='lora_gateway', category='LoraAdmin')) flas_admin.add_view(LoraNodeModelView(db.session, name='LoraNode', endpoint='lora_node', category='LoraAdmin')) flas_admin.add_view(NodeMqttTransFuncModelView(db.session, name='NodeMqttTransFunc', endpoint='node_mqtt_trans_func', category='LoraAdmin')) flas_admin.add_view(PowerIoModelView(db.session, name='PowerIo', endpoint='power_io', category='LoraAdmin')) flas_admin.add_view(RelayCurrentRs485FuncModelView(db.session, name='RelayCurrentRs485Func', endpoint='relay_current_rs485_func', category='LoraAdmin')) flas_admin.add_view(AlarmStatusModelView(db.session, name='AlarmStatus', endpoint='alarm_status', category='AlarmAdmin')) flas_admin.add_view(AlarmTypesModelView(db.session, name='AlarmTypes', endpoint='alarm_types', category='AlarmAdmin')) flas_admin.add_view(AlarmRecordsModelView(db.session, name='AlarmRecords', endpoint='alarm_records', category='AlarmAdmin')) flas_admin.add_view(AlarmLevelSettingModelView(db.session, name='AlarmLevelSetting', endpoint='alarm_level_setting', category='AlarmAdmin')) flas_admin.add_view(UserModelView(db.session, name='User', endpoint='user', category='UserAdmin')) path = op.join(op.dirname(__file__), 'static') print(path) flas_admin.add_view(FileAdmin(path, '/static/', name='Static Files')) def create_app(config_name): app = Flask(__name__) app.config.from_object(config[config_name]) config[config_name].init_app(app) # bable config for i18n app.config['BABEL_DEFAULT_LOCALE'] = 'zh_CN' if app.config['SSL_REDIRECT']: from flask_sslify import SSLify sslify = SSLify(app) configure_extensions(app) register_blueprints(app) return app def configure_extensions(app): """configure flask extensions """ bootstrap.init_app(app) mail.init_app(app) moment.init_app(app) db.init_app(app) login_manager.init_app(app) pagedown.init_app(app) babel.init_app(app) flas_admin.init_app(app) def register_blueprints(app): """register all blueprints for application """ from .main import main as main_blueprint app.register_blueprint(main_blueprint) from .auth import auth as auth_blueprint app.register_blueprint(auth_blueprint, url_prefix='/auth') from .api import api as api_blueprint app.register_blueprint(api_blueprint, url_prefix='/api/v1')

[ "quanpower@gmail.com" ]

quanpower@gmail.com

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/NLP/word2vec/data_processing/__init__.py

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InsaneLife/DeepLearning

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# coding=utf8 # author = 'Aaron Chou' import sys import zipfile reload(sys) sys.setdefaultencoding('utf-8') # filename = '../../../..//data/NLP/sougou/news_oneline.txt' # with open(filename) as f: # data = f.readline().decode('utf-8') # # # filename = '../../../../data/word2vec/text8.zip' # with zipfile.ZipFile(filename) as f: # data = f.read(f.namelist()[0]) # # print 'yes' # # # Read the data into a list of strings. # def read_data(filename): # """Extract the first file enclosed in a zip file as a list of words""" # with zipfile.ZipFile(filename) as f: # data = f.read(f.namelist()[0]) # return data s = "公安机关销毁１０余万非法枪支　跨国武" s = s.replace('　','') print s

[ "993001803@qq.com" ]

993001803@qq.com

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/fileparsers.py

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[]

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breecummins/PatternMatch

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061b87fea1ef52825d4dba3af675d1a44af0f20c

refs/heads/master

2021-01-17T09:42:04.173524

2016-06-02T17:04:57

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# The MIT License (MIT) # Copyright (c) 2015 Breschine Cummins # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. import json def parseMorseGraphs(fname="morsegraphs.txt"): f=open(fname,'r') morse_graphs_and_sets=[] for l in f.readlines(): L=l.replace('|',' ').split() morse_graphs_and_sets.append((L[0],L[1:])) f.close() return morse_graphs_and_sets def parseParameters(fname="concatenatedparams.txt"): f=open(fname,'r') morsegraph_morseset_param=[] for l in f.readlines(): morsegraph_morseset_param.append(tuple(l.split('|'))) f.close() return morsegraph_morseset_param def parsePatterns(fname="patterns.txt"): f=open(fname,'r') maxmin=[] varnames=[] originalpatterns=[] for l in f: if l[-1]=='\n': l=l[:-1] originalpatterns.append(l) L=l.replace(',',' ').split() varnames.append(L[::2]) maxmin.append(L[1::2]) f.close() return varnames, maxmin, originalpatterns def parseMorseSet(fname='dsgrn_output.json'): parsed = json.load(open(fname),strict=False) varnames = [ x[0] for x in parsed["network"] ] threshnames = [ [parsed["network"][i][2][j] for j in parsed["parameter"][i][2]] for i in range(len(parsed["network"])) ] return varnames,threshnames,parsed["graph"],parsed["cells"],parsed["vertices"] def parseDomainCells(fname='dsgrn_domaincells.json'): parsed = json.load(open(fname),strict=False) return parsed["cells"] def parseDomainGraph(fname="dsgrn_domaingraph.json"): return json.load(open(fname),strict=False)

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breecummins@gmail.com

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makermelissa/Adafruit_CircuitPython_Pixie

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# The MIT License (MIT) # # Copyright (c) 2016 Damien P. George (original Neopixel object) # Copyright (c) 2018 Ladyada # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. """ `adafruit_pixie` - Pixie LED driver ==================================================== * Author(s): Damien P. George, Limor Fried, Kattni Rembor """ import time import math __version__ = "0.0.0-auto.0" __repo__ = "https://github.com/adafruit/Adafruit_CircuitPython_Pixie.git" class Pixie: """ PIxie LEDs. :param uart: The UART object. :param int n: The number of Pixies in the chain. :param float brightness: Brightness of the pixels between 0.0 and 1.0. :param bool auto_write: True if the Pixies should immediately change when set. If False, `show` must be called explicitly. Example for two Pixie LEDs chained: .. code_block::python import time import board import busio import adafruit_pixie uart = busio.UART(board.TX, rx=None, baudrate=115200) pixies = adafruit_pixie.Pixie(uart, 2, brightness=0.5) while True: pixies.fill((255, 0, 0)) time.sleep(1) pixies[0] = (0, 255, 0) pixies[1] = (0, 0, 255) time.sleep(1) """ def __init__(self, uart, n, *, brightness=1.0, auto_write=True): self._uart = uart self._n = n self._buf = bytearray(self._n * 3) # Set auto_write to False temporarily so brightness setter does _not_ # call show() while in __init__. self.auto_write = False self._brightness = brightness self.auto_write = auto_write def _set_item(self, index, value): if index < 0: index += len(self) if index >= self._n or index < 0: raise IndexError offset = index * 3 r = 0 g = 0 b = 0 if isinstance(value, int): r = value >> 16 g = (value >> 8) & 0xff b = value & 0xff elif len(value) == 3: r, g, b = value self._buf[offset + 0] = r self._buf[offset + 1] = g self._buf[offset + 2] = b def __setitem__(self, index, val): if isinstance(index, slice): start, stop, step = index.indices(len(self._buf) // 3) length = stop - start if step != 0: length = math.ceil(length / step) if len(val) != length: raise ValueError("Slice and input sequence size do not match.") for val_i, in_i in enumerate(range(start, stop, step)): self._set_item(in_i, val[val_i]) else: self._set_item(index, val) if self.auto_write: self.show() def __len__(self): return len(self._buf) // 3 @property def brightness(self): """Overall brightness of the pixel""" return self._brightness @brightness.setter def brightness(self, brightness): self._brightness = min(max(brightness, 0.0), 1.0) if self.auto_write: self.show() def fill(self, color): """Colors all pixels the given ***color***.""" auto_write = self.auto_write self.auto_write = False for i in range(self._n): self[i] = color if auto_write: self.show() self.auto_write = auto_write def show(self): """ Shows the new colors on the pixels themselves if they haven't already been autowritten. """ self._uart.write(bytes([int(i * self.brightness) for i in self._buf])) time.sleep(0.005)

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kattni@adafruit.com

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/Old_Pando/HRRR_downloads/old_dwnld_scripts/download_hrrr.py

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janmandel/HorelS3-Archive

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# Brian Blaylock # February 27, 2017 """ Downloads the operational HRRR from NCEOP NOMADS server A re-write of the "get_hrrr.csh" script in python. """ import urllib from datetime import datetime, timedelta import os import stat # ---------------------------------------------------------------------------- # Introductory Stuff # ---------------------------------------------------------------------------- # download HRRR files from yesterday yesterday = datetime.today() #-timedelta(days=1) # Put the downloaded files in the horel-group/archive. Mkdir if it doesn't exist OUTDIR = '/uufs/chpc.utah.edu/common/home/horel-group/archive/%04d%02d%02d/BB_test/models/hrrr/' \ % (yesterday.year, yesterday.month, yesterday.day) if not os.path.exists(OUTDIR): os.makedirs(OUTDIR) # Change directory permissions os.chmod(OUTDIR, stat.S_IRWXU | \ stat.S_IRGRP | stat.S_IXGRP | \ stat.S_IROTH | stat.S_IXOTH) # User can read, write, execute # Group can read and execute # Others can read and execute # ---------------------------------------------------------------------------- def reporthook(a,b,c): # ',' at the end of the line is important! print "% 3.1f%% of %d bytes\r" % (min(100, float(a * b) / c * 100), c), #you can also use sys.stdout.write #sys.stdout.write("\r% 3.1f%% of %d bytes" # % (min(100, float(a * b) / c * 100), c) def download_hrrr(DATE, field, hour=range(0, 24), forecast=range(0, 19), OUTDIR='./'): """ Downloads HRRR grib2 files from the nomads server http://nomads.ncep.noaa.gov/ Input: DATE - a datetime object for which you wish to download fields - the field you want to download Options are fields ['prs', 'sfc','subh', 'nat'] pressure fields (~350 MB), surface fields (~6 MB), native fields (~510 MB)! hour - a list of hours you want to download Default all hours in the day forecast - a list of forecast hour you wish to download Default all forecast hours (0-18) outpath - the outpath directory you wish to save the files. """ # We'll store the URLs we download from and return them for troubleshooting URL_list = [] # Build the URL string we want to download. One for each field, hour, and forecast # New URL for downloading HRRRv2+ URL = 'http://nomads.ncep.noaa.gov/pub/data/nccf/com/hrrr/prod/hrrr.%04d%02d%02d/' \ % (DATE.year, DATE.month, DATE.day) # Create a new array for each field to keep things organized. for h in hour: for f in forecast: FileName = 'hrrr.t%02dz.wrf%sf%02d.grib2' % (h, field, f) # Download and save the file print 'Downloading:', URL, FileName urllib.urlretrieve(URL+FileName, OUTDIR+FileName, reporthook) print 'Saved:', OUTDIR+FileName URL_list.append(URL+FileName) # Return the list of URLs we downloaded from for troubleshooting return URL_list def download_hrrr_bufr(DATE, stations=['725720'], rename=['kslc'], hour=range(0,24), OUTDIR='./'): """ Special case for downloading HRRR bufr soundings. """ URL_list = [] URL = 'http://nomads.ncep.noaa.gov/pub/data/nccf/com/hrrr/prod/hrrr.%04d%02d%02d/bufrsnd.t%02dz/' \ % (DATE.year, DATE.month, DATE.day, DATE.hour) for h in hour: for i in range(len(stations)): FILE = 'bufr.%s.%04d%02d%02d%02d' \ % (stations[i], DATE.year, DATE.month, DATE.day, h) NEWNAME = '%s_%04d%02d%02d%02d.buf' \ % (rename[i], DATE.year, DATE.month, DATE.day, h) urllib.urlretrieve(URL+FILE, OUTDIR+NEWNAME, reporthook) URL_list.append(URL+FILE) return URL_list if __name__ == '__main__': # Download Surface fields: all hours and all forecast hours sfc_hxx = range(0, 24) sfc_fxx = range(0, 19) sfc_URLs = download_hrrr(yesterday, field='sfc', hour=sfc_hxx, forecast=sfc_fxx, OUTDIR=OUTDIR) # Download Pressure fields: all hours, only analysis hours prs_hxx = range(0, 24) prs_fxx = range(0, 1) prs_URLs = download_hrrr(yesterday, field='prs', forecast=prs_fxx, hour=prs_hxx, OUTDIR=OUTDIR) # Download bufr soundings: KSLC, KODG, KPVU stations = ['725720', '725724', '725750'] rename = ['kslc', 'kpvu', 'kodg'] bufr_URLs = download_hrrr_bufr(yesterday, stations=stations, rename=rename, OUTDIR=OUTDIR) ## Download subhourly #subh_hxx = range(0, 24) #subh_fxx = range(0, 19) #subh_URLs = download_hrrr(yesterday, field='subh', hour=sub_hxx, forecast=subh_fxx)

[ "blaylockbk@gmail.com" ]

blaylockbk@gmail.com

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N = int(input()) L = [list(map(int,input().split())) for k in range(N-1)] c = sorted(list(map(int,input().split()))) a = sum(c) - c[-1] T = [[] for k in range(N)] for e in L: T[e[0]-1].append(e[1]-1) T[e[1]-1].append(e[0]-1) kyori = [-1 for k in range(N)] que = [L[0][0]] kyori[L[0][0]] = c.pop() while len(que) > 0: now = que.pop() for tsugi in T[now]: if kyori[tsugi] == -1: kyori[tsugi] = c.pop() que.append(tsugi) print(a) print(*kyori, sep=" ")

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# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: streamlit/proto/PageInfo.proto from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name='streamlit/proto/PageInfo.proto', package='', syntax='proto3', serialized_options=None, create_key=_descriptor._internal_create_key, serialized_pb=b'\n\x1estreamlit/proto/PageInfo.proto\" \n\x08PageInfo\x12\x14\n\x0cquery_string\x18\x01 \x01(\tb\x06proto3' ) _PAGEINFO = _descriptor.Descriptor( name='PageInfo', full_name='PageInfo', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='query_string', full_name='PageInfo.query_string', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=34, serialized_end=66, ) DESCRIPTOR.message_types_by_name['PageInfo'] = _PAGEINFO _sym_db.RegisterFileDescriptor(DESCRIPTOR) PageInfo = _reflection.GeneratedProtocolMessageType('PageInfo', (_message.Message,), { 'DESCRIPTOR' : _PAGEINFO, '__module__' : 'streamlit.proto.PageInfo_pb2' # @@protoc_insertion_point(class_scope:PageInfo) }) _sym_db.RegisterMessage(PageInfo) # @@protoc_insertion_point(module_scope)

[ "edimaudo@gmail.com" ]

edimaudo@gmail.com

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/build_isolated/roslaunch/catkin_generated/pkg.develspace.context.pc.py

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[]

no_license

CJohnson5136/ros_catkin_ws

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refs/heads/master

2021-05-09T03:05:12.373334

2018-01-28T03:13:33

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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else [] PROJECT_CATKIN_DEPENDS = "".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else [] PROJECT_NAME = "roslaunch" PROJECT_SPACE_DIR = "/home/pi/ros_catkin_ws/devel_isolated/roslaunch" PROJECT_VERSION = "1.13.5"

[ "cody.johnson@ucollege.edu" ]

cody.johnson@ucollege.edu

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/blog/admin.py

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[ "MIT" ]

permissive

Cpeters1982/MillGeekV2

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refs/heads/master

2021-08-06T14:45:57.616281

2017-11-06T06:38:11

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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.contrib import admin from .models import Post class PostAdmin(admin.ModelAdmin): list_display = ('title', 'slug', 'author', 'publish', 'status') list_filter = ('status', 'created', 'publish', 'author') search_fields = ('title', 'body') prepopulated_fields = {'slug': ('title',)} raw_id_fields = ('author',) date_hierarchy = 'publish' ordering = ['status', 'publish'] admin.site.register(Post, PostAdmin)

[ "chiefautoparts@outlook.com" ]

chiefautoparts@outlook.com

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/Triangle.py

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[]

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chenlanlan/leetcode

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refs/heads/master

2016-09-08T05:07:46.904441

2015-07-12T05:41:15

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#!/usr/bin/python class Solution: # @param triangle, a list of lists of integers # @return an integer def minimumTotal(self, triangle): sum = triangle ans = triangle[0][0] for i in range(1, len(triangle)): for j in range(0, i + 1): if j == 0: sum[i][j] = sum[i - 1][j] + triangle[i][j] ans = sum[i][j] elif j == i: sum[i][j] = sum[i - 1][j - 1] + triangle[i][j] else: sum[i][j] = min(sum[i - 1][j - 1], sum[i - 1][j]) + triangle[i][j] if sum[i][j] < ans: ans = sum[i][j] return ans x = Solution() print(x.minimumTotal([ [2], [3,4], [6,5,7], [4,1,8,3] ]))

[ "silan0318@163.com" ]

silan0318@163.com

44e995678e486ed927b284dd2cac84cdbca80e09

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/sandbox/peachpy_avx_practice/logic.py

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[]

no_license

ar90n/lab

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refs/heads/main

2023-07-25T17:29:57.960915

2023-07-22T12:08:18

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2023-07-17T08:45:14

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Jupyter Notebook

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from peachpy import * from peachpy.x86_64 import * import numpy as np import ctypes def gen_andnot_ps(): x = Argument(ptr(const_float_)) y = Argument(ptr(const_float_)) z = Argument(ptr(float_)) with Function("AndNot", (x, y, z), target=uarch.default + isa.avx2) as asm_function: reg_x = GeneralPurposeRegister64() LOAD.ARGUMENT(reg_x, x) reg_y = GeneralPurposeRegister64() LOAD.ARGUMENT(reg_y, y) reg_z = GeneralPurposeRegister64() LOAD.ARGUMENT(reg_z, z) ymm = YMMRegister() VMOVUPD(ymm, [reg_x]) VANDNPS(ymm, ymm, [reg_y]) VMOVUPD([reg_z], ymm) RETURN() return asm_function.finalize(abi.detect()).encode().load() andnot_ps = gen_andnot_ps() x = np.array( [ 0x59595959, 0x59595959, 0x59595959, 0x59595959, 0x59595959, 0x59595959, 0x59595959, 0x59595959, ], dtype=np.uint32, ) y = np.array( [ 0x95959595, 0x95959595, 0x95959595, 0x95959595, 0x95959595, 0x95959595, 0x95959595, 0x95959595, ], dtype=np.uint32, ) z = np.empty(8, dtype=np.uint32) andnot_ps( x.ctypes.data_as(ctypes.POINTER(ctypes.c_float)), y.ctypes.data_as(ctypes.POINTER(ctypes.c_float)), z.ctypes.data_as(ctypes.POINTER(ctypes.c_float)), ) assert np.allclose( z, np.array( [ 0x84848484, 0x84848484, 0x84848484, 0x84848484, 0x84848484, 0x84848484, 0x84848484, 0x84848484, ], dtype=np.uint32, ), )

[ "argon.argon.argon@gmail.com" ]

argon.argon.argon@gmail.com

f714a0095b6e307d7d0c605551e5062b707f474e

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/api/programs/views/shared_files.py

16753e871ff23a7486b45fe52c1b5af4a82dca6c

[]

no_license

alexhernandez-git/django-classline

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49fcf0c6d735a56eaebc17d04be52dab91ca4c3a

refs/heads/master

2023-03-18T07:10:08.770066

2021-03-04T22:24:09

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"""Program views.""" # Django REST Framework from rest_framework import mixins, viewsets, status, filters from rest_framework.response import Response from rest_framework.decorators import action from rest_framework.filters import SearchFilter, OrderingFilter from django_filters.rest_framework import DjangoFilterBackend # Permissions from rest_framework.permissions import IsAuthenticated # Filters from rest_framework.filters import SearchFilter, OrderingFilter from django_filters.rest_framework import DjangoFilterBackend # Models from api.programs.models import File # Serializers from api.programs.serializers import ( FileModelSerializer, ShareUsersFilesSerializer ) from api.programs.serializers.subscriptions import( SubscriptionSignUpSerializer ) from api.users.serializers import ( ProfileModelSerializer, UserWithoutTeacherModelSerializer ) import stripe # Utils from api.utils.permissions import AddProgramMixin class SharedFileViewSet(mixins.CreateModelMixin, mixins.ListModelMixin, mixins.RetrieveModelMixin, mixins.UpdateModelMixin, mixins.DestroyModelMixin, AddProgramMixin): """Circle view set.""" pagination_class = None serializer_class = FileModelSerializer lookup_field = 'pk' queryset = File.objects.all() filter_backends = [filters.SearchFilter] search_fields = ['name'] def get_queryset(self): """Restrict list to public-only.""" queryset = File.objects.filter(program=self.program) return queryset def get_permissions(self): """Assign permissions based on action.""" permissions = [] return [permission() for permission in permissions] def list(self, request, *args, **kwargs): if 'top_folder' in request.GET and request.GET['top_folder']: queryset = self.get_queryset().filter( top_folder=request.GET['top_folder']) else: queryset = self.get_queryset().filter(shared_users=request.user) queryset = self.filter_queryset(queryset) page = self.paginate_queryset(queryset) if page is not None: serializer = self.get_serializer(page, many=True) return self.get_paginated_response(serializer.data) serializer = self.get_serializer(queryset, many=True) return Response(serializer.data)

[ "vlexhndz@gmail.com" ]

vlexhndz@gmail.com

6e1f6880a6caf5cffabb380e12829f1606c3e98f

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/1501-2000/1751.Maximum Number of Events That Can Be Attended II.py

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[]

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kaiwensun/leetcode

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refs/heads/master

2023-08-31T07:30:50.459062

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2023-08-20T06:34:41

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import functools, collections, bisect class Solution: def maxValue(self, events: List[List[int]], k: int) -> int: end2eid = collections.defaultdict(list) for i in range(len(events)): end2eid[events[i][1]].append(i) end_days = list(sorted(end2eid.keys())) @functools.lru_cache(None) def dp(end_day_index, count): if count == 0 or end_day_index == -1: return 0 res = dp(end_day_index - 1, count) for eid in end2eid[end_days[end_day_index]]: start, end, value = events[eid] res = max(res, dp(bisect.bisect_left(end_days, start) - 1, count - 1) + value) return res return dp(len(end_days) - 1, k)

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skw_kevin@126.com

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/examples/thread_matmul_ipxact/thread_matmul_ipxact.py

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00mjk/veriloggen

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refs/heads/master

2023-06-23T07:10:20.645734

2021-07-18T14:53:13

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from __future__ import absolute_import from __future__ import print_function import sys import os import numpy as np # the next line can be removed after installation sys.path.insert(0, os.path.dirname(os.path.dirname( os.path.dirname(os.path.abspath(__file__))))) from veriloggen import * import veriloggen.thread as vthread import veriloggen.types.axi as axi import veriloggen.types.ipxact as ipxact axi_datawidth = 32 datawidth = 32 matrix_size = 16 a_offset = 0 b_offset = 4096 c_offset = 4096 * 2 def mkLed(): m = Module('blinkled') clk = m.Input('CLK') rst = m.Input('RST') addrwidth = 10 ram_a = vthread.RAM(m, 'ram_a', clk, rst, datawidth, addrwidth) ram_b = vthread.RAM(m, 'ram_b', clk, rst, datawidth, addrwidth) ram_c = vthread.RAM(m, 'ram_c', clk, rst, datawidth, addrwidth) maxi = vthread.AXIM(m, 'maxi', clk, rst, datawidth) saxi = vthread.AXISLiteRegister(m, 'saxi', clk, rst, datawidth, length=8) def matmul(): while True: saxi.wait_flag(0, value=1, resetvalue=0) matrix_size = saxi.read(1) a_offset = saxi.read(2) b_offset = saxi.read(3) c_offset = saxi.read(4) comp(matrix_size, a_offset, b_offset, c_offset) saxi.write_flag(5, 1, resetvalue=0) def comp(matrix_size, a_offset, b_offset, c_offset): a_addr, c_addr = a_offset, c_offset for i in range(matrix_size): maxi.dma_read(ram_a, 0, a_addr, matrix_size) b_addr = b_offset for j in range(matrix_size): maxi.dma_read(ram_b, 0, b_addr, matrix_size) sum = 0 for k in range(matrix_size): x = ram_a.read(k) y = ram_b.read(k) sum += x * y ram_c.write(j, sum) b_addr += matrix_size * (datawidth // 8) maxi.dma_write(ram_c, 0, c_addr, matrix_size) a_addr += matrix_size * (datawidth // 8) c_addr += matrix_size * (datawidth // 8) th = vthread.Thread(m, 'th_matmul', clk, rst, matmul) fsm = th.start() return m def mkTest(memimg_name=None): a_shape = (matrix_size, matrix_size) b_shape = (matrix_size, matrix_size) c_shape = (a_shape[0], b_shape[0]) n_raw_a = axi.shape_to_length(a_shape) n_raw_b = axi.shape_to_length(b_shape) n_a = axi.shape_to_memory_size(a_shape, datawidth) n_b = axi.shape_to_memory_size(b_shape, datawidth) a = np.zeros(a_shape, dtype=np.int64) b = np.zeros(b_shape, dtype=np.int64) value = 1 for y in range(a_shape[0]): for x in range(a_shape[1]): if x == y: a[y][x] = value value += 1 else: a[y][x] = 0 for y in range(b_shape[0]): for x in range(b_shape[1]): if x == y: b[y][x] = 2 else: b[y][x] = 0 a_addr = a_offset size_a = n_a * datawidth // 8 b_addr = b_offset size_b = n_b * datawidth // 8 mem = np.zeros([1024 * 1024 * 8 // axi_datawidth], dtype=np.int64) axi.set_memory(mem, a, axi_datawidth, datawidth, a_addr) axi.set_memory(mem, b, axi_datawidth, datawidth, b_addr) led = mkLed() m = Module('test') params = m.copy_params(led) ports = m.copy_sim_ports(led) clk = ports['CLK'] rst = ports['RST'] memory = axi.AxiMemoryModel(m, 'memory', clk, rst, mem_datawidth=axi_datawidth, memimg=mem, memimg_name=memimg_name) memory.connect(ports, 'maxi') # AXI-Slave controller _saxi = vthread.AXIMLite(m, '_saxi', clk, rst, noio=True) _saxi.connect(ports, 'saxi') # Timer counter = m.Reg('counter', 32, initval=0) seq = Seq(m, 'seq', clk, rst) seq( counter.inc() ) def ctrl(): for i in range(100): pass awaddr = 4 print('# matrix_size = %d' % matrix_size) _saxi.write(awaddr, matrix_size) awaddr = 8 print('# a_offset = %d' % a_offset) _saxi.write(awaddr, a_offset) awaddr = 12 print('# b_offset = %d' % b_offset) _saxi.write(awaddr, b_offset) awaddr = 16 print('# c_offset = %d' % c_offset) _saxi.write(awaddr, c_offset) awaddr = 0 start_time = counter print('# start time = %d' % start_time) _saxi.write(awaddr, 1) araddr = 20 v = _saxi.read(araddr) while v == 0: v = _saxi.read(araddr) end_time = counter print('# end time = %d' % end_time) time = end_time - start_time print('# exec time = %d' % time) all_ok = True for y in range(matrix_size): for x in range(matrix_size): v = memory.read( c_offset + (y * matrix_size + x) * datawidth // 8) if y == x and vthread.verilog.NotEql(v, (y + 1) * 2): all_ok = False print("NG [%d,%d] = %d" % (y, x, v)) if y != x and vthread.verilog.NotEql(v, 0): all_ok = False print("NG [%d,%d] = %d" % (y, x, v)) if all_ok: print('# verify: PASSED') else: print('# verify: FAILED') vthread.finish() th = vthread.Thread(m, 'th_ctrl', clk, rst, ctrl) fsm = th.start() uut = m.Instance(led, 'uut', params=m.connect_params(led), ports=m.connect_ports(led)) simulation.setup_waveform(m, uut) simulation.setup_clock(m, clk, hperiod=5) init = simulation.setup_reset(m, rst, m.make_reset(), period=100) init.add( Delay(1000000), Systask('finish'), ) return m def run(filename='tmp.v', simtype='iverilog', outputfile=None): if outputfile is None: outputfile = os.path.splitext(os.path.basename(__file__))[0] + '.out' memimg_name = 'memimg_' + outputfile test = mkTest(memimg_name=memimg_name) if filename is not None: test.to_verilog(filename) sim = simulation.Simulator(test, sim=simtype) rslt = sim.run(outputfile=outputfile) lines = rslt.splitlines() if simtype == 'verilator' and lines[-1].startswith('-'): rslt = '\n'.join(lines[:-1]) return rslt if __name__ == '__main__': rslt = run(filename='tmp.v') print(rslt) m = mkLed() ipxact.to_ipxact(m, clk_ports=[('CLK', ('RST',))], rst_ports=[('RST', 'ACTIVE_HIGH')])

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#Embedded file name: zactionConst.py """ Constants for the Action System """ ACTION_SCHEMA = 'zaction' _ACTION_PREFIX = ACTION_SCHEMA + '.' _ACTION_TREE_TABLE_NAME = 'trees' _ACTION_TREE_TABLE_FULL_PATH = _ACTION_PREFIX + _ACTION_TREE_TABLE_NAME _ACTION_TREE_LINK_TABLE_NAME = 'treeLinks' _ACTION_TREE_LINK_TABLE_FULL_PATH = _ACTION_PREFIX + _ACTION_TREE_LINK_TABLE_NAME ACTION_STEP_TABLE_NAME = 'steps' ACTION_STEP_TABLE_FULL_PATH = _ACTION_PREFIX + ACTION_STEP_TABLE_NAME ACTION_PROC_TABLE_NAME = 'procs' ACTION_PROC_TABLE_FULL_PATH = _ACTION_PREFIX + ACTION_PROC_TABLE_NAME _ACTION_PROPERTY_TABLE_NAME = 'properties' _ACTION_PROPERTY_TABLE_FULL_PATH = _ACTION_PREFIX + _ACTION_PROPERTY_TABLE_NAME ACTION_PROC_TYPE_TABLE_NAME = 'procTypes' ACTION_PROC_TYPE_TABLE_FULL_PATH = _ACTION_PREFIX + ACTION_PROC_TYPE_TABLE_NAME ACTION_PROC_TYPE_PROPERTY_TABLE_NAME = 'procTypeProperties' ACTION_PROC_TYPE_PROPERTY_TABLE_FULL_PATH = _ACTION_PREFIX + ACTION_PROC_TYPE_PROPERTY_TABLE_NAME MAX_PROP_NAME_LEN = 64 SELECT_ACTION_TREE = 'SelectActionTree' SELECT_ACTION_STEP = 'SelectActionStep' SELECT_ACTION_PROC = 'SelectActionProc' ACTIONSTEP_TYPE_NORMAL = 'Normal' ACTIONSTEP_TYPE_CONDITIONAL = 'Conditional' ACTIONSTEP_TYPE_TRY = 'Try Until' ACTIONSTEP_TYPE_CATCH = 'Catch' ACTIONSTEP_TYPE_TRYSYNC = 'Try Sync' ACTIONSTEP_TYPE_WHILE = 'While' ACTIONSTEP_TYPE_PREREQ = 'Prerequisite' ACTIONSTEP_TYPEID_NORMAL = 0 ACTIONSTEP_TYPEID_CONDITIONAL = 1 ACTIONSTEP_TYPEID_TRY = 2 ACTIONSTEP_TYPEID_CATCH = 3 ACTIONSTEP_TYPEID_TRYSYNC = 4 ACTIONSTEP_TYPEID_WHILE = 5 ACTIONSTEP_TYPEID_PREREQ = -1 ACTION_STEP_TYPEID_TO_STRING = (ACTIONSTEP_TYPE_NORMAL, ACTIONSTEP_TYPE_CONDITIONAL, ACTIONSTEP_TYPE_TRY, ACTIONSTEP_TYPE_CATCH, ACTIONSTEP_TYPE_TRYSYNC, ACTIONSTEP_TYPE_WHILE, ACTIONSTEP_TYPE_PREREQ) ACTION_STEP_TYPE_CONDITIONALS = [ACTIONSTEP_TYPE_CONDITIONAL, ACTIONSTEP_TYPE_TRY, ACTIONSTEP_TYPE_WHILE, ACTIONSTEP_TYPE_PREREQ] ACTION_STEP_TYPE_NORMALS = [ACTIONSTEP_TYPE_NORMAL, ACTIONSTEP_TYPE_CATCH, ACTIONSTEP_TYPE_TRYSYNC] ACTIONSTEP_LOC_CLIENTSERVER = 'Client and Server' ACTIONSTEP_LOC_CLIENTONLY = 'Client Only' ACTIONSTEP_LOC_SERVERONLY = 'Server Only' ACTIONSTEP_LOCID_CLIENTSERVER = 0 ACTIONSTEP_LOCID_CLIENTONLY = 1 ACTIONSTEP_LOCID_SERVERONLY = 2 ACTION_STEP_LOCID_TO_STRING = (ACTIONSTEP_LOC_CLIENTSERVER, ACTIONSTEP_LOC_CLIENTONLY, ACTIONSTEP_LOC_SERVERONLY) ACTIONSTEP_FLAG_ELSE = 1 ACTIONSTEP_FLAG_CATCH = 2 ACTIONSTEP_FLAGS = {ACTIONSTEP_FLAG_ELSE: 'Else', ACTIONSTEP_FLAG_CATCH: 'Catch'} _ACTION_INTERNAL = 0 _ACTION_EXPOSED = 1 ACTION_TREE_LINK_REFERENCE = 1 ACTION_TREE_LINK_BRANCH = 2 ACTION_TREE_LINK_TYPES = [ACTION_TREE_LINK_REFERENCE, ACTION_TREE_LINK_BRANCH] ACTION_TREE_LINK_NAMES = {'In-Place': ACTION_TREE_LINK_REFERENCE, 'Branch-To': ACTION_TREE_LINK_BRANCH} _ACTION_LINK_BIT_ORDER_SPLIT = 16 _ACTION_LINK_TYPE_BIT_FILTER = 65535 _ACTION_LINK_TYPE_MAX_VALUE = 65535 _ACTION_LINK_EXPOSURE_BIT_FILTER = 4294901760L _ACTION_LINK_EXPOSURE_MAX_VALUE = 65535 ACTION_EXPOSURE_EXTERNAL = 0 ACTION_EXPOSURE_INTERNAL = 1 ACTION_EXPOSURE_NEVER = 2 ACTION_EXPOSURE_TYPES = [ACTION_EXPOSURE_EXTERNAL, ACTION_EXPOSURE_INTERNAL, ACTION_EXPOSURE_NEVER] ACTION_EXPOSURE_TYPE_NAMES = {'External': ACTION_EXPOSURE_EXTERNAL, 'Internal': ACTION_EXPOSURE_INTERNAL, 'Never': ACTION_EXPOSURE_NEVER} ACTIONTREE_RECIPE_DEFAULT_ACTION_NAME = 'defaultAction'

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billchang.e@gmail.com

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/Backend/todoapps/todo/apps/forms.py

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Jayson7/Mumswhocode-bootcamp-frontend-basics

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from django.forms import ModelForm from .models import Todo class Todoforms(ModelForm): class Meta: model = Todo fields = "__all__"

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lexxiijoo70@gmail.com

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/Aula 10/atv01.py

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Yuri-Santiago/sor-python-ifce-p7

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""" 1 - Criar uma classe que modele retângulos. 1. Atributos: LadoA, LadoB (ou Comprimento e Largura, ou Base e Altura, a escolher) 2. Métodos: Mudar valor dos lados, Retornar valor dos lados, calcular Área e calcular Perímetro; 3. Crie um programa que utilize esta classe. Ele deve pedir ao usuário que informe as medidas de um cômodo. Depois, deve criar um objeto com as medidas e calcular a quantidade de pisos e de rodapés necessárias para o local. """ class Retangulo: def __init__(self, lado_a, lado_b): self.lado_a = lado_a self.lado_b = lado_b def mudar_valor_lados(self, a, b): self.lado_a = a self.lado_b = b def retornar_valor_lados(self): return self.lado_a, self.lado_b def calcular_area(self): return self.lado_a * self.lado_b def calcular_perimetro(self): return self.lado_a * 2 + self.lado_b * 2 print("Nesse programa você deverá informar as medidas de um cômodo em metros.") comprimento = float(input("Digite o valor do comprimento do Cômodo: ")) largura = float(input("Digite o valor do largura do Cômodo: ")) comodo = Retangulo(comprimento, largura) print(f'Você usará {comodo.calcular_area()} m quadrados de piso.') print(f'Você usará {comodo.calcular_perimetro()} m quadrados de rodapé.')

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yurimateussantiago@gmail.com

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/bwu/stack/225-implement-stack-using-queues.py

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no_license

captainhcg/leetcode-in-py-and-go

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class Stack(object): def __init__(self): """ initialize your data structure here. """ self.queue1, self.queue2 = [], [] def push(self, x): """ :type x: int :rtype: nothing """ self.queue1.append(x) def pop(self): """ :rtype: nothing """ while len(self.queue1) > 1: self.queue2.append(self.queue1.pop(0)) self.queue1.pop(0) while len(self.queue2): self.queue1.append(self.queue2.pop(0)) def top(self): """ :rtype: int """ return self.queue1[-1] def empty(self): """ :rtype: bool """ return len(self.queue1) == 0

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2023-09-01T09:30:59.967219

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import pyaf.Bench.TS_datasets as tsds import tests.artificial.process_artificial_dataset as art art.process_dataset(N = 1024 , FREQ = 'D', seed = 0, trendtype = "ConstantTrend", cycle_length = 5, transform = "Logit", sigma = 0.0, exog_count = 0, ar_order = 12);

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antoine.carme@laposte.net

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/clients/python/generated/swaggeraemosgi/model/org_apache_sling_event_impl_eventing_thread_pool_properties.py

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shinesolutions/swagger-aem-osgi

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2022-10-29T13:07:40.422092

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""" Adobe Experience Manager OSGI config (AEM) API Swagger AEM OSGI is an OpenAPI specification for Adobe Experience Manager (AEM) OSGI Configurations API # noqa: E501 The version of the OpenAPI document: 1.0.0-pre.0 Contact: opensource@shinesolutions.com Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 import nulltype # noqa: F401 from swaggeraemosgi.model_utils import ( # noqa: F401 ApiTypeError, ModelComposed, ModelNormal, ModelSimple, cached_property, change_keys_js_to_python, convert_js_args_to_python_args, date, datetime, file_type, none_type, validate_get_composed_info, ) def lazy_import(): from swaggeraemosgi.model.config_node_property_integer import ConfigNodePropertyInteger globals()['ConfigNodePropertyInteger'] = ConfigNodePropertyInteger class OrgApacheSlingEventImplEventingThreadPoolProperties(ModelNormal): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. Attributes: allowed_values (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict with a capitalized key describing the allowed value and an allowed value. These dicts store the allowed enum values. attribute_map (dict): The key is attribute name and the value is json key in definition. discriminator_value_class_map (dict): A dict to go from the discriminator variable value to the discriminator class name. validations (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict that stores validations for max_length, min_length, max_items, min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum, inclusive_minimum, and regex. additional_properties_type (tuple): A tuple of classes accepted as additional properties values. """ allowed_values = { } validations = { } additional_properties_type = None _nullable = False @cached_property def openapi_types(): """ This must be a method because a model may have properties that are of type self, this must run after the class is loaded Returns openapi_types (dict): The key is attribute name and the value is attribute type. """ lazy_import() return { 'min_pool_size': (ConfigNodePropertyInteger,), # noqa: E501 } @cached_property def discriminator(): return None attribute_map = { 'min_pool_size': 'minPoolSize', # noqa: E501 } _composed_schemas = {} required_properties = set([ '_data_store', '_check_type', '_spec_property_naming', '_path_to_item', '_configuration', '_visited_composed_classes', ]) @convert_js_args_to_python_args def __init__(self, *args, **kwargs): # noqa: E501 """OrgApacheSlingEventImplEventingThreadPoolProperties - a model defined in OpenAPI Keyword Args: _check_type (bool): if True, values for parameters in openapi_types will be type checked and a TypeError will be raised if the wrong type is input. Defaults to True _path_to_item (tuple/list): This is a list of keys or values to drill down to the model in received_data when deserializing a response _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _configuration (Configuration): the instance to use when deserializing a file_type parameter. If passed, type conversion is attempted If omitted no type conversion is done. _visited_composed_classes (tuple): This stores a tuple of classes that we have traveled through so that if we see that class again we will not use its discriminator again. When traveling through a discriminator, the composed schema that is is traveled through is added to this set. For example if Animal has a discriminator petType and we pass in "Dog", and the class Dog allOf includes Animal, we move through Animal once using the discriminator, and pick Dog. Then in Dog, we will make an instance of the Animal class but this time we won't travel through its discriminator because we passed in _visited_composed_classes = (Animal,) min_pool_size (ConfigNodePropertyInteger): [optional] # noqa: E501 """ _check_type = kwargs.pop('_check_type', True) _spec_property_naming = kwargs.pop('_spec_property_naming', False) _path_to_item = kwargs.pop('_path_to_item', ()) _configuration = kwargs.pop('_configuration', None) _visited_composed_classes = kwargs.pop('_visited_composed_classes', ()) if args: raise ApiTypeError( "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % ( args, self.__class__.__name__, ), path_to_item=_path_to_item, valid_classes=(self.__class__,), ) self._data_store = {} self._check_type = _check_type self._spec_property_naming = _spec_property_naming self._path_to_item = _path_to_item self._configuration = _configuration self._visited_composed_classes = _visited_composed_classes + (self.__class__,) for var_name, var_value in kwargs.items(): if var_name not in self.attribute_map and \ self._configuration is not None and \ self._configuration.discard_unknown_keys and \ self.additional_properties_type is None: # discard variable. continue setattr(self, var_name, var_value)

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cliffano@gmail.com

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# add two numbers a and b, and return a+b # para: # a - integer number # b - integer number # return: a number which is sum of a and b # def add(a, b): print("OK") return a+b print("NOT OK") # here im going to make a subtracting function # input: # a - integer # b - integer # return: a-b def subtract(a, b): return a-b # here im going to make a multiplying function # input: # a - integer # b - integer # return: a*b def multiply(a, b): return a*b # testing add print(add(5,23)) # testing subtract should return -18 print(subtract(5,23)) # testing multiply print(multiply(5,23))

[ "dike.zhang@gmail.com" ]

dike.zhang@gmail.com

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yuemeiss/database

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１．数据库的技术的发展２．相关概念：　　　数据库：　　　数据库系统：　　　数据库管理系统：　　　为什么使用mysql: SQL 数据库语言３．什么是mysql数据库？　　mysql的优势？　　是一款开源的自由的软件　　是一款多用户、多线程的ＳＱＬ数据库服务器　　能够快捷、高效、安全的处理大量数据，使用简单，易操作　　跨平台，可移植型强　　支持多种操作系统　　为多种编程语言提供了ＡＰＩ 4.　安装ｍｙｓｑｌ、启动、连接５.　创建数据库、修改数据库、删除数据库６．数据库的存储引擎(三大引擎)和数据库的字段类型（数字、字符串、日期）７．数据库表的创建、删除、修改创建表(字段、参数类型、为空、不为空、默认值、主键、自增) 查看数据库创建语句添加列修改列删除列重命名表复制表 CREATE TABLE IF NOT EXISTS 表名　LIKE 要复制的表

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zymITsky/ants

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""" A spider that generate light requests to meassure QPS troughput usage: scrapy runspider qpsclient.py --loglevel=INFO --set RANDOMIZE_DOWNLOAD_DELAY=0 --set CONCURRENT_REQUESTS=50 -a qps=10 -a latency=0.3 """ from ants.spider import Spider from ants.http import Request class QPSSpider(Spider): name = 'qps' benchurl = 'http://localhost:8880/' # Max concurrency is limited by global CONCURRENT_REQUESTS setting max_concurrent_requests = 8 # Requests per second goal qps = None # same as: 1 / download_delay download_delay = None # time in seconds to delay server responses latency = None # number of slots to create slots = 1 def __init__(self, *a, **kw): super(QPSSpider, self).__init__(*a, **kw) if self.qps is not None: self.qps = float(self.qps) self.download_delay = 1 / self.qps elif self.download_delay is not None: self.download_delay = float(self.download_delay) def start_requests(self): url = self.benchurl if self.latency is not None: url += '?latency={0}'.format(self.latency) slots = int(self.slots) if slots > 1: urls = [url.replace('localhost', '127.0.0.%d' % (x + 1)) for x in xrange(slots)] else: urls = [url] idx = 0 while True: url = urls[idx % len(urls)] yield Request(url, dont_filter=True) idx += 1 def parse(self, response): pass

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#!/usr/bin/python # coding: utf-8 class Solution(object): def shortestToChar(self, S, C): """ :type S: str :type C: str :rtype: List[int] """ n, pos = len(S), -len(S) res = [n] * n for i in range(n): if S[i] == C: pos = i res[i] = min(res[i], abs(i - pos)) for i in range(n-1, -1, -1): if S[i] == C: pos = i res[i] = min(res[i], abs(i - pos)); return res

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import time import traceback from collections import OrderedDict from flask import ( g, jsonify, Blueprint ) from sqlalchemy import and_ from rmatics.model import db from rmatics.model.ejudge_run import EjudgeRun from rmatics.model.statement import Statement from rmatics.utils.exceptions import ( InternalServerError, RunAuthorOnly, RunNotFound, ) from rmatics.view import ( require_auth, require_roles, ) protocol = Blueprint('protocol', __name__, url_prefix='/protocol') # log = logging.getLogger(__name__) # # signal_description = { # # 1 : "Hangup detected on controlling terminal or death of controlling process", # # 2 : "Interrupt from keyboard", # # 3 : "Quit from keyboard", # # 4 : "Illegal Instruction", # # 6 : "Abort signal", # # 7 : "Bus error (bad memory access)", # # 8 : "Floating point exception", # # 9 : "Kill signal", # # 11 : "Invalid memory reference", # # 13 : "Broken pipe: write to pipe with no readers", # # 14 : "Timer signal", # # 15 : "Termination signal" # # } # TODO: Переместить в view/run (/run/id/protocol), убрать вложеные try/except @protocol.route('/get/<int:contest_id>/<int:run_id>') def get_protocol(contest_id, run_id): try: run = EjudgeRun.get_by(run_id=run_id, contest_id=contest_id) try: run.fetch_tested_protocol_data() if run.user.statement \ .filter(Statement.olympiad == 1) \ .filter(Statement.time_stop > time.time()) \ .filter(Statement.time_start < time.time()) \ .count() == 0: res = OrderedDict() if run.tests: sample_tests = run.problem.sample_tests.split(',') for num in range(1, len(run.tests.keys()) + 1): str_num = str(num) if str_num in sample_tests: res[str_num] = run.get_test_full_protocol(str_num) else: res[str_num] = run.tests[str_num] return jsonify({ 'tests': res, 'host': run.host, 'compiler_output': run.compiler_output, }) else: try: return jsonify({ 'tests': run.tests['1'], 'host': run.host, 'compiler_output': run.compiler_output, }) except KeyError as e: return jsonify({'result' : 'error', 'message' : e.__str__(), "stack" : traceback.format_exc()}) except Exception as e: return jsonify({'result' : 'error', 'message' : run.compilation_protocol, 'error' : e.__str__(), 'stack' : traceback.format_exc(), 'protocol': run.protocol}) except Exception as e: return jsonify({'result': 'error', 'message' : e.__str__(), 'stack': traceback.format_exc(), 'protocol': run.protocol}) @protocol.route('/get_v2/<int:contest_id>/<int:run_id>') @require_auth def protocol_get_v2(contest_id, run_id): # TODO: переделать формат протокола (статус выдавать по id), избавиться от fetch_tested_protocol_data run = db.session.query(EjudgeRun) \ .filter( and_( EjudgeRun.run_id == run_id, EjudgeRun.contest_id == contest_id ) ) \ .first() if not run: raise RunNotFound if g.user.ejudge_id != run.user_id: raise RunAuthorOnly try: run.fetch_tested_protocol_data() except Exception: raise InternalServerError tests_dict = OrderedDict() if run.tests: sample_tests = run.problem.sample_tests.split(',') for num in range(1, len(run.tests.keys()) + 1): str_num = str(num) if str_num in sample_tests: tests_dict[str_num] = run.get_test_full_protocol(str_num) else: tests_dict[str_num] = run.tests[str_num] return jsonify({ 'tests': tests_dict, 'host': run.host, 'compiler_output': run.compiler_output, }) @protocol.route('/get-full/<int:contest_id>/<int:run_id>') @require_roles('admin', 'teacher', 'ejudge_teacher') def protocol_get_full(contest_id, run_id): run = EjudgeRun.get_by(run_id=run_id, contest_id=contest_id) protocol = get_protocol(contest_id, run_id).json if protocol.get('result') == 'error': return protocol prot = protocol.get('tests', {}) out_arch = None for test_num in prot: prot[test_num] = run.get_test_full_protocol(test_num) if out_arch: out_arch.close() full_protocol = { 'tests': prot, 'audit': run.get_audit(), } if protocol.get('compiler_output'): full_protocol['compiler_output'] = protocol['compiler_output'] return jsonify(full_protocol) # @view_config(route_name="protocol.get_test", renderer="string") # @check_global_role(("teacher", "ejudge_teacher", "admin")) # def protocol_get_test(request): # contest_id = int(request.matchdict['contest_id']) # run_id = int(request.matchdict['run_id']) # run = EjudgeRun.get_by(run_id = run_id, contest_id = contest_id) # prob = run.problem # return prob.get_test(int(request.matchdict['test_num']), prob.get_test_size(int(request.matchdict['test_num']))) # @view_config(route_name="protocol.get_corr", renderer="string") # @check_global_role(("teacher", "ejudge_teacher", "admin")) # def protocol_get_corr(request): # contest_id = int(request.matchdict['contest_id']) # run_id = int(request.matchdict['run_id']) # run = EjudgeRun.get_by(run_id = run_id, contest_id = contest_id) # prob = run.problem # return prob.get_corr(int(request.matchdict['test_num']), prob.get_corr_size(int(request.matchdict['test_num']))) # @view_config(route_name="protocol.get_outp", renderer="string") # @check_global_role(("teacher", "ejudge_teacher", "admin")) # def protocol_get_outp(request): # contest_id = int(request.matchdict['contest_id']) # run_id = int(request.matchdict['run_id']) # run = EjudgeRun.get_by(run_id = run_id, contest_id = contest_id) # return run.get_output_file(int(request.matchdict['test_num']), tp='o') # @view_config(route_name="protocol.get_submit_archive", renderer="string") # @check_global_role(("teacher", "ejudge_teacher", "admin")) # def get_submit_archive(request): # contest_id = int(request.matchdict['contest_id']) # run_id = int(request.matchdict['run_id']) # sources = "sources" in request.params # all_tests = "all_tests" in request.params # tests = request.params.get("tests", "") # tests_set = set() # for i in tests.split(" "): # try: # tests_set.add(int(i)) # except ValueError: # pass # run = EjudgeRun.get_by(run_id = run_id, contest_id = contest_id) # run.parsetests # prob = run.problem # archive = BytesIO() # zf = zipfile.ZipFile(archive, "w", zipfile.ZIP_DEFLATED) # run.fetch_tested_protocol_data() # for i in range(1, run.tests_count + 1): # if all_tests or i in tests_set: # zf.writestr("tests/{0:02}".format(i), prob.get_test(i, prob.get_test_size(i))) # zf.writestr("tests/{0:02}.a".format(i), prob.get_corr(i, prob.get_corr_size(i))) # if sources: # zf.writestr("{0}{1}".format(run_id, get_lang_ext_by_id(run.lang_id)), run.get_sources()) # checker_src, checker_ext = prob.get_checker() # zf.writestr("checker{}".format(checker_ext), checker_src) # zf.close() # archive.seek(0) # response = Response(content_type="application/zip", content_disposition='attachment; filename="archive_{0}_{1}.zip"'.format(contest_id, run_id), body=archive.read()) # return response

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''' Created on May 1, 2018 @author: tongq ''' c_ Solution(o.. ___ - hashmap {0:0} ___ racecar target """ :type target: int :rtype: int """ __ target __ hashmap: r.. hashmap[target] # Number of bits necessary to represent self in binary. n target.bit_length() __ 2**n-1 __ target: hashmap[target] n ____ hashmap[target] racecar(2**n-1-target)+n+1 ___ m __ r..(n-1 hashmap[target] m..(hashmap[target],\ racecar(target-2**(n-1)+2**m)+n+m+1) r.. hashmap[target] ___ test testCases [ 3, 6, ] ___ target __ testCases: print('target: %s' % target) result racecar(target) print('result: %s' % result) print('-='*30+'-') __ _____ __ _____ Solution().test()

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#!/usr/bin/python # (c) 2017, Vitaliy Zhhuta <zhhuta () gmail.com> # insipred by Kamil Szczygiel <kamil.szczygiel () intel.com> influxdb_database module # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) from __future__ import absolute_import, division, print_function __metaclass__ = type ANSIBLE_METADATA = {'metadata_version': '1.1', 'status': ['preview'], 'supported_by': 'community'} DOCUMENTATION = ''' --- module: influxdb_user short_description: Manage InfluxDB users description: - Manage InfluxDB users version_added: 2.5 author: "Vitaliy Zhhuta (@zhhuta)" requirements: - "python >= 2.6" - "influxdb >= 0.9" options: user_name: description: - Name of the user. required: True user_password: description: - Password to be set for the user. required: false admin: description: - Whether the user should be in the admin role or not. default: no choices: [ yes, no] state: description: - State of the user. choices: [ present, absent ] default: present extends_documentation_fragment: influxdb ''' EXAMPLES = ''' - name: Create a user on localhost using default login credentials influxdb_user: user_name: john user_password: s3cr3t - name: Create a user on localhost using custom login credentials influxdb_user: user_name: john user_password: s3cr3t login_username: "{{ influxdb_username }}" login_password: "{{ influxdb_password }}" - name: Create an admin user on a remote host using custom login credentials influxdb_user: user_name: john user_password: s3cr3t admin: yes hostname: "{{ influxdb_hostname }}" login_username: "{{ influxdb_username }}" login_password: "{{ influxdb_password }}" - name: Destroy a user using custom login credentials influxdb_user: user_name: john login_username: "{{ influxdb_username }}" login_password: "{{ influxdb_password }}" state: absent ''' RETURN = ''' #only defaults ''' import ansible.module_utils.urls from ansible.module_utils.basic import AnsibleModule import ansible.module_utils.influxdb as influx def find_user(module, client, user_name): name = None try: names = client.get_list_users() for u_name in names: if u_name['user'] == user_name: name = u_name break except ansible.module_utils.urls.ConnectionError as e: module.fail_json(msg=str(e)) return name def check_user_password(module, client, user_name, user_password): try: client.switch_user(user_name, user_password) client.get_list_users() except influx.exceptions.InfluxDBClientError as e: if e.code == 401: return False except ansible.module_utils.urls.ConnectionError as e: module.fail_json(msg=str(e)) finally: # restore previous user client.switch_user(module.params['username'], module.params['password']) return True def set_user_password(module, client, user_name, user_password): if not module.check_mode: try: client.set_user_password(user_name, user_password) except ansible.module_utils.urls.ConnectionError as e: module.fail_json(msg=str(e)) module.exit_json(changed=True) def create_user(module, client, user_name, user_password, admin): if not module.check_mode: try: client.create_user(user_name, user_password, admin) except ansible.module_utils.urls.ConnectionError as e: module.fail_json(msg=str(e)) module.exit_json(changed=True) def drop_user(module, client, user_name): if not module.check_mode: try: client.drop_user(user_name) except influx.exceptions.InfluxDBClientError as e: module.fail_json(msg=e.content) module.exit_json(changed=True) def main(): argument_spec = influx.InfluxDb.influxdb_argument_spec() argument_spec.update( state=dict(default='present', type='str', choices=['present', 'absent']), user_name=dict(required=True, type='str'), user_password=dict(required=False, type='str', no_log=True), admin=dict(default='False', type='bool') ) module = AnsibleModule( argument_spec=argument_spec, supports_check_mode=True ) state = module.params['state'] user_name = module.params['user_name'] user_password = module.params['user_password'] admin = module.params['admin'] influxdb = influx.InfluxDb(module) client = influxdb.connect_to_influxdb() user = find_user(module, client, user_name) if state == 'present': if user: if check_user_password(module, client, user_name, user_password): module.exit_json(changed=False) else: set_user_password(module, client, user_name, user_password) else: create_user(module, client, user_name, user_password, admin) if state == 'absent': if user: drop_user(module, client, user_name) else: module.exit_json(changed=False) if __name__ == '__main__': main()

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#重点题目回顾和重写 # 5、元素分类 # 有如下值li= [11,22,33,44,55,66,77,88,99,90]， # 将所有大于 66 的值保存至字典的第一个key中， # 将小于 66 的值保存至第二个key的值中。 # 即： {'k1': 大于66的所有值列表, 'k2': 小于66的所有值列表} #方法1 空字典{} 空列表好理解 li= [11,22,33,44,55,66,77,88,99,90] dic1 = {} li1 = [] li2 = [] for i in li: if i > 66: li1.append(i) #空列表追加 else: li2.append(i) dic1["k1"] = li1 #字典新增键值对 dic1["k2"] = li2 print(dic1) #{'k1': [77, 88, 99, 90], 'k2': [11, 22, 33, 44, 55, 66]} #方法2 非空字典{} #比较简洁，代码行数较少 li= [11,22,33,44,55,66,77,88,99,90] dic1 = {"k1":[],"k2":[]} for i in li: if i > 66: dic1["k1"].append(i) else: dic1["k2"].append(i) print(dic1) #{'k2': [11, 22, 33, 44, 55, 66], 'k1': [77, 88, 99, 90]} #方法3 字典的get方法 li= [11,22,33,44,55,66,77,88,99,90] dic1 = {} for i in li: if i > 66: if dic1.get("k1") == None: #1 如果key="k1"不存在，就新增 dic1["k1"] = [i] #注意点：这里必须是[i],而不能是i else: #2 如果key=k1存在，就往value-列表中追加新元素 dic1["k1"].append(i) else: if dic1.get("k2") == None: #1 如果key="k2"不存在，就新增 dic1["k2"] = [i] #注意点：这里必须是[i],而不能是i else: #2 如果key=k2存在，就往value-列表中追加新元素 dic1["k2"].append(i) print(dic1) #{'k1': [77, 88, 99, 90], 'k2': [11, 22, 33, 44, 55, 66]} #方法4 字典的setdefault方法 li= [11,22,33,44,55,66,77,88,99,90] dic1 = {} for i in li: if i > 66: ret1 = dic1.setdefault("k1",[]) #新增功能:"k1"之前不存在，就新增键值对；“k1”存在，就不操作（不覆盖） # 返回value--查询功能 #注意：这里value必须是[],而不是[i] ret1.append(i) #往列表中追加新元素 #ret1 第一次取值是[77] #ret1 第二次取值是[77,88] #ret1 第三次取值是[77,88,99]，依次类推--过程重要不跳步骤，足够耐心 else: ret2 = dic1.setdefault("k2", []) # 新增:"k1"之前不存在，就新增键值对；“k1”存在，就不操作（不覆盖）返回value ret2.append(i) #往列表中追加新元素 print(dic1) #{'k2': [11, 22, 33, 44, 55, 66], 'k1': [77, 88, 99, 90]} print("---------------1") # 6、输出商品列表，用户输入序号，显示用户选中的商品(升级题) # # 商品列表： goods = [{"name": "电脑", "price": 1999}, {"name": "鼠标", "price": 10}, {"name": "游艇", "price": 20}, {"name": "美女", "price": 998}, ] # # 要求: # 1：页面显示序号 + 商品名称 + 商品价格，如： # 1 电脑 1999 # 2 鼠标 10 # … # 2：用户输入选择的商品序号，然后打印商品名称及商品价格 # 3：如果用户输入的商品序号有误，则提示输入有误，并重新输入。 # 4：用户输入Q或者q，退出程序。 #6-1 不打印序号 # for i in goods: # print(i["name"],i["price"]) #6-1 打印序号 for i in range(len(goods)): #i 是0-3 print(i+1,goods[i]["name"],goods[i]["price"]) print("---------------6-1") #6-2 方法1 --不推荐 # 用户输入选择的商品序号，然后打印商品名称及商品价格 goods = [{"name": "电脑", "price": 1999}, {"name": "鼠标", "price": 10}, {"name": "游艇", "price": 20}, {"name": "美女", "price": 998}, ] # for i in range(10): #0-9 限定输入10次 # # while 1: #不限定输入次数 # content = int(input("请输入商品编号：")) #输入的是字符串，需要转换成int #这里如果输入的不是字符串数字，就会报错 # #ValueError: invalid literal for int() with base 10: 'ss' # #商品编号-1 = 索引编号 # if content>0 and content<=len(goods): # print(goods[content-1]["name"],goods[content-1]["price"]) # else: # print("没有找到对应的商品，请重新输入") #6-2 方法2 推荐 # 2：用户输入选择的商品序号，然后打印商品名称及商品价格 # 3：如果用户输入的商品序号有误，则提示输入有误，并重新输入。 # 4：用户输入Q或者q，退出程序 while 1: content = input("请输入商品编号：") #输入的是字符串 if content.upper() == "Q": print("退出程序") break elif content.isdigit(): content = int(content) if content>0 and content <=len(goods): print(goods[content-1]["name"],goods[content-1]["price"]) else: print("您输入的商品编号不存在，请重新输入") else: print("输入有误，请重新输入数字")

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wangtongpei@meicai.cn

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from django.contrib import admin # Register your models here. from .models import Singer, Song @admin.register(Singer) class SingerAdmin(admin.ModelAdmin): list_display=['id', 'name', 'gender'] @admin.register(Song) class SongAdmin(admin.ModelAdmin): list_display = ['id', 'title', 'singer', 'duration']

[ "piyush@gmail.com" ]

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edimaudo/Python-projects

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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Line(_BaseTraceHierarchyType): # class properties # -------------------- _parent_path_str = "scattermapbox" _path_str = "scattermapbox.line" _valid_props = {"color", "width"} # color # ----- @property def color(self): """ Sets the line color. The 'color' property is a color and may be specified as: - A hex string (e.g. '#ff0000') - An rgb/rgba string (e.g. 'rgb(255,0,0)') - An hsl/hsla string (e.g. 'hsl(0,100%,50%)') - An hsv/hsva string (e.g. 'hsv(0,100%,100%)') - A named CSS color: aliceblue, antiquewhite, aqua, aquamarine, azure, beige, bisque, black, blanchedalmond, blue, blueviolet, brown, burlywood, cadetblue, chartreuse, chocolate, coral, cornflowerblue, cornsilk, crimson, cyan, darkblue, darkcyan, darkgoldenrod, darkgray, darkgrey, darkgreen, darkkhaki, darkmagenta, darkolivegreen, darkorange, darkorchid, darkred, darksalmon, darkseagreen, darkslateblue, darkslategray, darkslategrey, darkturquoise, darkviolet, deeppink, deepskyblue, dimgray, dimgrey, dodgerblue, firebrick, floralwhite, forestgreen, fuchsia, gainsboro, ghostwhite, gold, goldenrod, gray, grey, green, greenyellow, honeydew, hotpink, indianred, indigo, ivory, khaki, lavender, lavenderblush, lawngreen, lemonchiffon, lightblue, lightcoral, lightcyan, lightgoldenrodyellow, lightgray, lightgrey, lightgreen, lightpink, lightsalmon, lightseagreen, lightskyblue, lightslategray, lightslategrey, lightsteelblue, lightyellow, lime, limegreen, linen, magenta, maroon, mediumaquamarine, mediumblue, mediumorchid, mediumpurple, mediumseagreen, mediumslateblue, mediumspringgreen, mediumturquoise, mediumvioletred, midnightblue, mintcream, mistyrose, moccasin, navajowhite, navy, oldlace, olive, olivedrab, orange, orangered, orchid, palegoldenrod, palegreen, paleturquoise, palevioletred, papayawhip, peachpuff, peru, pink, plum, powderblue, purple, red, rosybrown, royalblue, rebeccapurple, saddlebrown, salmon, sandybrown, seagreen, seashell, sienna, silver, skyblue, slateblue, slategray, slategrey, snow, springgreen, steelblue, tan, teal, thistle, tomato, turquoise, violet, wheat, white, whitesmoke, yellow, yellowgreen Returns ------- str """ return self["color"] @color.setter def color(self, val): self["color"] = val # width # ----- @property def width(self): """ Sets the line width (in px). The 'width' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["width"] @width.setter def width(self, val): self["width"] = val # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ color Sets the line color. width Sets the line width (in px). """ def __init__(self, arg=None, color=None, width=None, **kwargs): """ Construct a new Line object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.scattermapbox.Line` color Sets the line color. width Sets the line width (in px). Returns ------- Line """ super(Line, self).__init__("line") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.scattermapbox.Line constructor must be a dict or an instance of :class:`plotly.graph_objs.scattermapbox.Line`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) # Populate data dict with properties # ---------------------------------- _v = arg.pop("color", None) _v = color if color is not None else _v if _v is not None: self["color"] = _v _v = arg.pop("width", None) _v = width if width is not None else _v if _v is not None: self["width"] = _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False

[ "edimaudo@gmail.com" ]

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Niladrykar/bracketerp

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# Generated by Django 2.0.6 on 2018-09-19 07:05 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('userprofile', '0003_auto_20180915_1222'), ] operations = [ migrations.AddField( model_name='profile', name='Date', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), ]

[ "niladry.kar85@gmail.com" ]

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laxmi518/network_project

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#!/usr/bin/env python import logging from pylib.wiring import gevent_zmq as zmq from lib import fi_collector from fi_applications import make_zip from pylib import conf, wiring, textual log = logging.getLogger(__name__) def _parse_args(): options, config = conf.parse_config() return config def _prepare_application_directory(config): make_zip.create_zipped_application_packages(config['basedir']) def main(): zmq_context = zmq.Context() config = _parse_args() #config = textual.utf8(config) #_prepare_application_directory(config) fi_out = wiring.Wire('collector_out', zmq_context=zmq_context, conf_path=config.get('wiring_conf_path') or None) log.info('LogPoint_agent_collector starting...') fi_collector.main(config, fi_out) main()

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"""Tests the changelog activity.""" import os from rever import vcsutils from rever.logger import current_logger from rever.main import env_main REVER_XSH = """ $ACTIVITIES = ['changelog'] $DAG['changelog'].kwargs = { 'filename': 'CHANGELOG.rst', 'ignore': ['TEMPLATE.rst'], 'news': 'nuws', } """ CHANGELOG_RST = """.. current developments v42.1.0 ============ * And some other stuff happeneded. """ TEMPLATE_RST = """**Added:** None **Changed:** None **Deprecated:** None **Removed:** None **Fixed:** None **Security:** None """ N0_RST = """**Added:** * from n0 **Changed:** None **Deprecated:** None **Removed:** * here * and here **Fixed:** None **Security:** None """ N1_RST = """**Added:** * from n1 **Changed:** * But what martial arts are they mixing? **Deprecated:** None **Removed:** * There **Fixed:** None **Security:** None """ CHANGELOG_42_1_1 = """.. current developments v42.1.1 ==================== **Added:** * from n0 * from n1 **Changed:** * But what martial arts are they mixing? **Removed:** * here * and here * There v42.1.0 ============ * And some other stuff happeneded. """ def test_changelog(gitrepo): os.makedirs('nuws', exist_ok=True) files = [('rever.xsh', REVER_XSH), ('CHANGELOG.rst', CHANGELOG_RST), ('nuws/TEMPLATE.rst', TEMPLATE_RST), ('nuws/n0.rst', N0_RST), ('nuws/n1.rst', N1_RST), ] for filename, body in files: with open(filename, 'w') as f: f.write(body) vcsutils.track('.') vcsutils.commit('initial changelog and news') env_main(['42.1.1']) # now see if this worked newsfiles = os.listdir('nuws') assert 'TEMPLATE.rst' in newsfiles assert 'n0.rst' not in newsfiles assert 'n1.rst' not in newsfiles with open('CHANGELOG.rst') as f: cl = f.read() assert CHANGELOG_42_1_1 == cl # ensure that the updates were commited logger = current_logger() entries = logger.load() assert entries[-2]['rev'] != entries[-1]['rev'] SETUP_XSH = """ $PROJECT = 'castlehouse' $ACTIVITIES = ['changelog'] $REVER_DIR = 'rvr' $CHANGELOG_FILENAME = 'CHANGELOG.rst' $CHANGELOG_NEWS = 'nuws' $CHANGELOG_TEMPLATE = 'TEMPLATE.rst' """ def test_changelog_setup(gitrepo): os.makedirs('nuws', exist_ok=True) files = [('rever.xsh', SETUP_XSH), ] for filename, body in files: with open(filename, 'w') as f: f.write(body) vcsutils.track('.') vcsutils.commit('initial changelog') env_main(['setup']) # now see if this worked newsfiles = os.listdir('nuws') assert 'TEMPLATE.rst' in newsfiles basefiles = os.listdir('.') assert 'CHANGELOG.rst' in basefiles with open('CHANGELOG.rst') as f: cl = f.read() assert 'castlehouse' in cl assert '.gitignore' in basefiles with open('.gitignore') as f: gi = f.read() assert '\n# Rever\nrvr/\n' in gi

[ "scopatz@gmail.com" ]

scopatz@gmail.com

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sandeepshiven/portfolio_project

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from django.db import models # Create your models here. class Blog(models.Model): title = models.CharField(max_length=50) pub_date = models.DateTimeField() body = models.TextField() image = models.ImageField(upload_to = 'images/') def __str__(self): return self.title def summary(self): return self.body[:200]+"................."

[ "sandeepshiven0@gmail.com" ]

sandeepshiven0@gmail.com

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/Others/snuke/snuke21/a.py

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# -*- coding: utf-8 -*- def main(): from math import sqrt n = int(input()) q = 1 + 8 * n if int(sqrt(q)) ** 2 == q: if (-1 + int(sqrt(q))) % 2 == 0: print((-1 + int(sqrt(q))) // 2) else: print(-1) else: print(-1) if __name__ == '__main__': main()

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jminuse/clancelot

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import sys import files, neb fptr = 'BOLi_LiBO' frames = files.read_xyz('/fs/home/hch54/clancelot/unit_tests/neb/xyz/'+fptr+'.xyz') opt = 'FIRE' route = '! RI-B2PLYP D3BJ def2-TZVP def2-TZVP/C Grid3 FinalGrid5' run_name = fptr[:fptr.find('.xyz')] + '_' + opt neb.neb(run_name, frames, route, opt=opt, maxiter=1000, gtol=0.00183726383934, DFT='orca', alpha=0.1, dt=0.1, mem=40, Nmax=20)

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hherbol@gmail.com

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pineking/client-python

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# coding: utf-8 """ Kubernetes No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: v1.5.1-660c2a2 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import os import sys import unittest import kubernetes.client from kubernetes.client.rest import ApiException from kubernetes.client.models.v1_service_status import V1ServiceStatus class TestV1ServiceStatus(unittest.TestCase): """ V1ServiceStatus unit test stubs """ def setUp(self): pass def tearDown(self): pass def testV1ServiceStatus(self): """ Test V1ServiceStatus """ model = kubernetes.client.models.v1_service_status.V1ServiceStatus() if __name__ == '__main__': unittest.main()

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mehdy@google.com

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/posts/tests.py

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from test_plus.test import TestCase from posts.factories import PostFactory class PostsTest(TestCase): def test_get_list(self): post = PostFactory() post_list_url = self.reverse('post:list') self.get_check_200(post_list_url) self.assertResponseContains(post.title, html=False) self.assertResponseContains(post.author.name, html=False) write_url = self.reverse('post:create') self.assertResponseContains(write_url, html=False) def test_get_writing_page_with_login(self): user = self.make_user('jelly jelly') with self.login(username=user.username): write_post_url = self.reverse('post:create') self.get_check_200(write_post_url) def test_get_writing_page_with_anonymous(self): self.assertLoginRequired('post:create')

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chm073@gmail.com

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/CourseGrading/3.2.11整数列表排序.py

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[]

no_license

xzl995/Python

d909274c9aba8ae9f18029a5f2069b1bb3418b9a

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refs/heads/master

2020-04-14T11:51:35.407548

2019-01-02T10:54:55

163,824,702

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py

""" 【问题描述】输入一组整数，从小到大排序后，输出排序结果。【输入形式】一行。一组用空格隔开的整数。【输出形式】一行。一组用一个空格隔开的整数，从小到大排列。【样例输入】 9 8 7 6 【样例输出】 6 7 8 9 【提示】用列表的sort方法。 """ num = input().split() list = [] for n in num: list.append(int(n)) list.sort() print(" ".join(str(i) for i in list))

[ "595696893@qq.com" ]

595696893@qq.com

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5bcee9248d0bdebb134c61b4d0a3f3113337a569

/IV_term/02_lesson_2704/02_turtle_commands.py

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[]

no_license

100ballovby/6V_Lesson

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4b6dfda323a628558bd63bd5569960004fc335dd

refs/heads/master

2023-05-08T07:49:14.569854

2021-05-25T06:40:53

330,888,686

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from turtle import * tina = Turtle() tina.shape('turtle') tina.fd(100) # .fd(step), .forward(step) пойти вперед step шагов tina.lt(45) # .lt(deg), .left(deg) повернуть влево на deg градусов tina.bk(120) # .bk(step), .backward(step) пойти назад step шагов tina.rt(90) # .rt(deg), right(deg) повернуть вправо на deg градусов tina.up() # не рисовать tina.fd(150) tina.down() # рисовать done()

[ "greatraksin@icloud.com" ]

greatraksin@icloud.com

f1ae77ce6c8a31bdb0e7fbe79377aaef1b871b5d

b0bb5a3e1bd4efc3bdc035f477c2b14c40b3d62a

/blog/templatetags/blog_tags.py

f6655ef002989018795274f5d168b3d84b2eb876

[]

no_license

yuansuixin/Myblog_Python

45c0bd610ab3dbbcdc10b4b4b9e45589f178ce29

a6b0c526371def0aab8fd7251517a97ce215168c

refs/heads/master

2021-09-05T21:02:37.227342

2018-01-31T01:31:14

114,453,469

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UTF-8

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871

py

from django import template from ..models import Post,Category,Tag from django.db.models.aggregates import Count from blog.models import Category register = template.Library() @register.simple_tag def get_recent_posts(num=5): return Post.objects.all().order_by('-created_time')[:num] @register.simple_tag def archives(): return Post.objects.dates('created_time', 'month', order='DESC') @register.simple_tag def get_categories(): # 别忘了在顶部引入 Category 类 # 记得在顶部引入 count 函数 # Count 计算分类下的文章数，其接受的参数为需要计数的模型的名称 return Category.objects.annotate(num_posts=Count('post')).filter(num_posts__gt=0) @register.simple_tag def get_tags(): # 记得在顶部引入 Tag model return Tag.objects.annotate(num_posts=Count('post')).filter(num_posts__gt=0)

[ "cyss428@163.com" ]

cyss428@163.com

5e3a365993b2027bd0ca4a439c8b29a1a03cc4e5

db54727e37a0928ed698171e862ad274b99a02b1

/get_angelist_jobs_by_location.py

a8f0282858b2fbff8abaa29e875b1ae5bc664c2a

[ "MIT" ]

permissive

tibbetts/sfba-compensation

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89a36391c7dd778b6343e67c2f8d587651b1d7f2

refs/heads/master

2020-04-05T23:46:12.264717

2016-06-01T05:09:35

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null

UTF-8

Python

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import urllib2 import json import datetime import csv import time #https://api.angel.co/1/tags/151282/jobs?access_token=xxx access_token = "<FILL IN>" # DO NOT SHARE WITH ANYONE! location_tag = 151282 # San Francisco Bay Area # location_tag = 1664 # New York City def request_until_succeed(url): req = urllib2.Request(url) success = False while success is False: try: response = urllib2.urlopen(req) if response.getcode() == 200: success = True except Exception, e: print e time.sleep(5) print "Error for URL %s: %s" % (url, datetime.datetime.now()) return response.read() # Needed to write tricky unicode correctly to csv; not present in tutorial def unicode_normalize(text): return text.translate({ 0x2018:0x27, 0x2019:0x27, 0x201C:0x22, 0x201D:0x22, 0xa0:0x20 }).encode('utf-8') def getAngelListPageFeedData(location_tag, access_token, page_num): # construct the URL string url = "https://api.angel.co/1/tags/%s/jobs?access_token=%s&page=%s" % (location_tag, access_token, page_num) # retrieve data data = json.loads(request_until_succeed(url)) return data def processAngelListPageFeedStatus(job): # The status is now a Python dictionary, so for top-level items, # we can simply call the key. # Additionally, some items may not always exist, # so must check for existence first job_id = job['id'] job_title = '' if 'title' not in job.keys() else unicode_normalize(job['title']) job_type = '' if 'job_type' not in job.keys() else unicode_normalize(job['job_type']) job_city = [unicode_normalize(tag['display_name']) for tag in job['tags'] if tag['tag_type'] == 'LocationTag'][0].decode('utf-8') salary_min = '' if 'salary_min' not in job.keys() else job['salary_min'] salary_max = '' if 'salary_max' not in job.keys() else job['salary_max'] equity_cliff = '' if 'equity_cliff' not in job.keys() else job['equity_cliff'] equity_vest = '' if 'equity_vest' not in job.keys() else job['equity_vest'] equity_min = '' if 'equity_min' not in job.keys() else job['equity_min'] equity_max = '' if 'equity_max' not in job.keys() else job['equity_max'] roles = ', '.join([unicode_normalize(tag['display_name']) for tag in job['tags'] if tag['tag_type'] == 'RoleTag']).decode('utf-8') skills = ', '.join([unicode_normalize(tag['display_name']) for tag in job['tags'] if tag['tag_type'] == 'SkillTag']).decode('utf-8') # Time needs special care since a) it's in UTC and # b) it's not easy to use in statistical programs. updated_at = datetime.datetime.strptime(job['updated_at'],'%Y-%m-%dT%H:%M:%SZ') updated_at = updated_at + datetime.timedelta(hours=-8) # PST updated_at = updated_at.strftime('%Y-%m-%d %H:%M:%S') # best time format for spreadsheet programs # return a tuple of all processed data return (job_id, job_title, job_type, job_city, salary_min, salary_max, equity_cliff, equity_vest, equity_min, equity_max, roles, skills, updated_at) def scrapeAngelListPageFeedStatus(location_tag, access_token): with open('%s_angelist_jobs.csv' % location_tag, 'wb') as file: w = csv.writer(file) w.writerow(['job_id', 'job_title', 'job_type', 'job_city', 'salary_min', 'salary_max', 'equity_cliff', 'equity_vest', 'equity_min', 'equity_max', 'roles', 'skills', 'updated_at']) has_next_page = True page = 1 num_processed = 0 # keep a count on how many we've processed scrape_starttime = datetime.datetime.now() print "Scraping %s AngelList Page: %s\n" % (location_tag, scrape_starttime) while has_next_page: data = getAngelListPageFeedData(location_tag, access_token, page) for job in data['jobs']: w.writerow(processAngelListPageFeedStatus(job)) # output progress occasionally to make sure code is not stalling num_processed += 1 if num_processed % 100 == 0: print "%s Jobs Processed: %s" % (num_processed, datetime.datetime.now()) # if there is no next page, we're done. if data['last_page'] == page: has_next_page = False else: page += 1 #print "\nDone!\n%s Jobs Processed in %s" % (num_processed, datetime.datetime.now() - scrape_starttime) if __name__ == '__main__': scrapeAngelListPageFeedStatus(location_tag, access_token) # The CSV can be opened in all major statistical programs. Have fun! :)

[ "max@minimaxir.com" ]

max@minimaxir.com

9734b8d821852dd069ae730eb6e5581f79278c28

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/Sentencias Condicionales/4.1.8-90.py

c0d1ba9b3e6d0df836a98fc9e064ff10920a2037

[]

no_license

FrankCasanova/Python

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refs/heads/master

2023-05-23T01:37:12.632204

2021-06-10T15:20:38

278,167,039

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UTF-8

Python

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py

#CORRECCIÓN DE PROGRAMA. from math import pi radio = float(input('Dame el radio de un circulo: ')) #menú print('Escoge una opción: ') print('a) Calcular el diámetro: ') print('b) Calcular el perímetro: ') print('c) Calcular el área: ') opción = input('Teclea a, b o c y pulsa intro: ') if opción.lower() == 'a': diámetro = 2*pi print('El diámetro es {0}'.format(diámetro)) else: if opción.lower() == 'b': perímetro = 2*pi*radio print('El perímetro es {0}'.format(perímetro)) else: if opción.lower() == 'c': área = pi*radio**2 print('El área es {0}'.format(área)) else: print('Solo hay 3 opciónes: a, b o c.') print('Tú has tecleado {0}'.format(opción))

[ "frankcasanova.info@gmail.comm" ]

frankcasanova.info@gmail.comm

ea92fcc7c3a19e5cc1c4276c6e75738bd12b4d5b

9d58364bd43fbb4edf60fba3425e9dc006097e22

/product/serializers.py

e6571d2151ef723f8b3eab7b9cfa5344cf3c8373

[]

no_license

darkblank/commerce-toy

a92ee2634777fa9997cb52c57f2fd8a68877677c

be8b4b7633204c83615853835c3772369e37766a

refs/heads/master

2022-12-03T14:18:54.966662

2020-08-12T22:29:49

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0

null

UTF-8

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py

from rest_framework import serializers from product.models import Product, ProductOption from user.serializers import ProviderSerializer class ProductOptionSerializer(serializers.ModelSerializer): class Meta: model = ProductOption fields = ( 'id', 'stock', 'name', ) class ProductSerializer(serializers.ModelSerializer): provider = ProviderSerializer() options = ProductOptionSerializer(many=True) class Meta: model = Product fields = ( 'id', 'name', 'price', 'shipping_price', 'is_on_sale', 'can_bundle', 'created_at', 'updated_at', 'provider', 'options', ) class ProductWithoutOptionsSerializer(ProductSerializer): class Meta: model = Product fields = ( 'id', 'name', 'price', 'shipping_price', 'is_on_sale', 'can_bundle', 'created_at', 'updated_at', 'provider', ) class ProductOptionWithProductSerializer(ProductOptionSerializer): product = ProductWithoutOptionsSerializer() class Meta: model = ProductOption fields = ( 'id', 'stock', 'name', 'product', )

[ "darkblank1990@gmail.com" ]

darkblank1990@gmail.com

c37f6418fac1b3ca989225a2b5d667bc7a56df58

0e478f3d8b6c323c093455428c9094c45de13bac

/src/OTLMOW/PostenMapping/Model/Post060352270.py

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[ "MIT" ]

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davidvlaminck/OTLMOW

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refs/heads/main

2023-01-12T05:08:40.442734

2023-01-10T15:26:39

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2021-11-28T10:28:24

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# coding=utf-8 from OTLMOW.PostenMapping.StandaardPost import StandaardPost from OTLMOW.PostenMapping.StandaardPostMapping import StandaardPostMapping # Generated with PostenCreator. To modify: extend, do not edit class Post060352270(StandaardPost): def __init__(self): super().__init__( nummer='0603.52270', beschrijving='Bestrating van gebakken straatstenen, standaardkwaliteitsklasse B volgens 6-3.6, dikformaat, hoogte ca. 70 mm', meetstaateenheid='M2', mappings=[StandaardPostMapping( typeURI='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#BestratingVanGebakkenStraatsteen', attribuutURI='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#BestratingVanGebakkenStraatsteen.formaatVanBestratingselement', dotnotation='formaatVanBestratingselement', defaultWaarde='dikformaat-(ca.-200-x-ca.-65-mm)', range='', usagenote='', isMeetstaatAttr=0, isAltijdInTeVullen=0, isBasisMapping=1, mappingStatus='gemapt 2.0', mappingOpmerking='', standaardpostnummer='0603.52270') , StandaardPostMapping( typeURI='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#BestratingVanGebakkenStraatsteen', attribuutURI='https://wegenenverkeer.data.vlaanderen.be/ns/abstracten#Laag.laagRol', dotnotation='laagRol', defaultWaarde='straatlaag', range='', usagenote='', isMeetstaatAttr=0, isAltijdInTeVullen=0, isBasisMapping=1, mappingStatus='gemapt 2.0', mappingOpmerking='', standaardpostnummer='0603.52270') , StandaardPostMapping( typeURI='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#BestratingVanGebakkenStraatsteen', attribuutURI='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#BestratingVanGebakkenStraatsteen.standaardkwaliteitsklasse', dotnotation='standaardkwaliteitsklasse', defaultWaarde='b', range='', usagenote='', isMeetstaatAttr=0, isAltijdInTeVullen=0, isBasisMapping=1, mappingStatus='gemapt 2.0', mappingOpmerking='', standaardpostnummer='0603.52270') , StandaardPostMapping( typeURI='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#BestratingVanGebakkenStraatsteen', attribuutURI='https://wegenenverkeer.data.vlaanderen.be/ns/abstracten#LaagDikte.dikte', dotnotation='dikte', defaultWaarde='7', range='', usagenote='cm^^cdt:ucumunit', isMeetstaatAttr=0, isAltijdInTeVullen=0, isBasisMapping=1, mappingStatus='gemapt 2.0', mappingOpmerking='', standaardpostnummer='0603.52270') , StandaardPostMapping( typeURI='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#BestratingVanGebakkenStraatsteen', attribuutURI='https://wegenenverkeer.data.vlaanderen.be/ns/abstracten#Laag.oppervlakte', dotnotation='oppervlakte', defaultWaarde='', range='', usagenote='m2^^cdt:ucumunit', isMeetstaatAttr=1, isAltijdInTeVullen=1, isBasisMapping=1, mappingStatus='gemapt 2.0', mappingOpmerking='', standaardpostnummer='0603.52270')])

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

david.vlaminck@mow.vlaanderen.be

9e5d5b8517e58b290fe195b2aab1e2d9938074d6

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/server/libs/top/api/rest/TaobaokeMobileListurlGetRequest.py

b09b1da208bf08fea60e8912f9988fb2a936ad96

[]

no_license

alswl/music_sofa

42f7d15431f11b97bf67b604cfde0a0e9e3860cc

c4e5425ef6c80c3e57c91ba568f7cbfe63faa378

refs/heads/master

2016-09-12T18:37:34.357510

2016-05-20T11:49:52

58,946,171

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Python

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py

''' Created by auto_sdk on 2013-11-07 12:53:22 ''' from top.api.base import RestApi class TaobaokeMobileListurlGetRequest(RestApi): def __init__(self,domain='gw.api.taobao.com',port=80): RestApi.__init__(self,domain, port) self.q = None def getapiname(self): return 'taobao.taobaoke.mobile.listurl.get'

[ "alswlx@gmail.com" ]

alswlx@gmail.com

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/PRINCIPIANTE/1051-1100/1098.py

d3a71591410aff0c977f88c66d582bdb8e28a005

[]

no_license

apesquero/URI

ba56f9d597e0e781bf85dc14eeeedf9bc206fbc4

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refs/heads/master

2021-06-19T23:56:51.798180

2021-01-01T18:43:20

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null

UTF-8

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py

# -*- coding: utf-8 -*- i = 0 while i <= 2: for x in range(3): print("I={:g} J={:g}" .format(i, x+1+i)) i += 0.2

[ "apesquero@gmail.com" ]

apesquero@gmail.com

865ae8442eadb66eb5b33a7c998542e89eb501ce

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/ay_hw_4/main_test.py

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[]

no_license

callmeorangecat/INF_552

3b0a007a37963fcd57396dab96d3f17ee20b0eb6

cdcaf20e549bfa2d5942f91f2ce3b4a93d1beba9

refs/heads/master

2021-02-17T15:04:32.222974

2020-02-21T20:31:54

245,105,595

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1

null

2020-03-05T08:16:29

2020-03-05T08:16:28

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UTF-8

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py

# __author__ = 'Aaron Yang' __email__ = 'byang971@usc.edu' __date__ = '9/27/2019 11:13 PM' import numpy as np import matplotlib.pyplot as plt from sklearn.pipeline import Pipeline from sklearn.preprocessing import PolynomialFeatures from sklearn.linear_model import LinearRegression from sklearn.metrics import mean_squared_error from sklearn.model_selection import train_test_split if __name__ == "__main__": x = np.random.uniform(-3, 3, size=100) X = x.reshape(-1, 1) # assume the relationship between X and Y is linear y = 0.5X + 3 + ε y = 3 + 0.5 * x + np.random.normal(0, 0.5, 100) X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=2333) print(X_train.shape) # Since the formula of MSE is 1 /n * (∑((y_hat - y_true)^2)) and RSS is ∑((y_hat - y_true)^2) # so MSE = 1 / n * (RSS), we can use MSE to evaluate our algorithm for convenience # get MSE(RSS) fpr the linear regression lin_reg = LinearRegression() lin_reg.fit(X_train, y_train) lin_p1 = lin_reg.predict(X_train) lin_p2 = lin_reg.predict(X_test) # get MSE(RSS) for the cubic regression cubic_reg = Pipeline([("polynomial_features", PolynomialFeatures(degree=3)), ("linear_regression", LinearRegression())]) cubic_reg.fit(X_train, y_train) cub_p1 = cubic_reg.predict(X_train) cub_p2 = cubic_reg.predict(X_test) # plot figures plt.scatter(x, y) plt.plot(X_train.tolist(), lin_p1, color='r', label="linear Train") plt.scatter(X_train.tolist(), cub_p1.tolist(), color='g', label="cubic Train") # plt.plot(X_test.tolist(), y_p1, color='r', label="linear Test") # plt.plot(X_test.tolist(), y_p2, color='g', label="cubic Test") plt.legend() print("MSE for linear regression: ", mean_squared_error(y_train, lin_p1)) print("MSE for cubic regression: ", mean_squared_error(y_train, cub_p1)) print("------------------") print("MSE for linear regression: ", mean_squared_error(y_test, lin_p2)) print("MSE for cubic regression: ", mean_squared_error(y_test, cub_p2)) plt.show()

[ "aaron19940628@gmail.com" ]

aaron19940628@gmail.com

e58bbef1e15f9f5ad7ab00b1d2269ab475394474

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/src/scripts/mcce/count_conf.py

a84c651e305eb12a71987d33c9e42616df9aab6f

[]

no_license

zxiaoyao/br_pscript

57bde5940d0d18704052f705c2025e4ba73e1b29

a3023b33a4332d0d77389f1d64c5af1b19a80a95

refs/heads/master

2020-06-01T13:39:39.192776

2015-06-09T04:26:39

16,268,020

0

null

UTF-8

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849

py

#!/usr/bin/python def count_conf(): '''Count the number of conformers in step2_out.pdb." Assuming the atoms in a conformer are in consecutive lines in step2_out.pdb. ''' atoms = open("step2_out.pdb").readlines() for line in atoms: if line[:6] != 'ATOM ' and line[:6] != 'HETATM': continue if line[27:30] == '000': continue confid_old = line[21:30] break count = 0 for line in atoms: if line[:6] != 'ATOM ' and line[:6] != 'HETATM': continue if line[27:30] == '000': continue confid_new = line[21:30] if confid_new == confid_old: continue else: count = count + 1 confid_old = confid_new count = count + 1 return count if __name__ == "__main__": counter = count_conf() print 'there are ', counter, 'confermers'

[ "zhuxuyu@gmail.com" ]

zhuxuyu@gmail.com

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/tests/settings.py

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[ "BSD-3-Clause" ]

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ubernostrum/pwned-passwords-django

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2023-04-10T05:33:44.797687

2023-03-27T05:25:45

124,067,069

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BSD-3-Clause

2023-09-11T06:26:23

2018-03-06T11:15:11

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UTF-8

Python

false

722

py

""" Minimal Django settings file for test runs. """ from django.utils.crypto import get_random_string INSTALLED_APPS = ["pwned_passwords_django"] ROOT_URLCONF = "tests.urls" DATABASES = {"default": {"ENGINE": "django.db.backends.sqlite3", "NAME": ":memory:"}} MIDDLEWARE = [ "pwned_passwords_django.middleware.pwned_passwords_middleware", ] AUTH_PASSWORD_VALIDATORS = [ {"NAME": "pwned_passwords_django.validators.PwnedPasswordsValidator"} ] LOGGING = { "version": 1, "disable_existing_loggers": True, "handlers": {"null": {"class": "logging.NullHandler"}}, "loggers": { "pwned_passwords_django.api": {"handlers": ["null"], "propagate": False} }, } SECRET_KEY = get_random_string(12)

[ "james@b-list.org" ]

james@b-list.org

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/otx_epub/migrations/0003_auto_20161027_2317.py

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[ "Apache-2.0" ]

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NYULibraries/dlts-enm-tct-backend

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# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2016-10-28 03:17 from __future__ import unicode_literals from django.db import migrations, models import otx_epub.storage class Migration(migrations.Migration): dependencies = [ ('otx_epub', '0002_epub_contents'), ] operations = [ migrations.AlterField( model_name='epub', name='contents', field=models.FilePathField(allow_files=False, allow_folders=True, path='/vagrant/nyu/media/epub_decompressed', recursive=True), ), migrations.AlterField( model_name='epub', name='manifest', field=models.CharField(blank=True, max_length=255), ), migrations.AlterField( model_name='epub', name='oebps_folder', field=models.CharField(blank=True, max_length=255), ), migrations.AlterField( model_name='epub', name='source', field=models.FileField(storage=otx_epub.storage.OverwriteStorage(), upload_to='epubs'), ), ]

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# -*- coding: utf-8 -*- # Copyright 2023 Cohesity Inc. class ViewIntent(object): """Implementation of the 'ViewIntent' model. Specifies the Intent of the View. Attributes: template_id (long|int): Specifies the template Id from which the View is created. template_name (string): Specifies the template name from which the View is created. """ # Create a mapping from Model property names to API property names _names = { "template_id":'TemplateId', "template_name":'TemplateName', } def __init__(self, template_id=None, template_name=None, ): """Constructor for the ViewIntent class""" # Initialize members of the class self.template_id = template_id self.template_name = template_name @classmethod def from_dictionary(cls, dictionary): """Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of the object as obtained from the deserialization of the server's response. The keys MUST match property names in the API description. Returns: object: An instance of this structure class. """ if dictionary is None: return None # Extract variables from the dictionary template_id = dictionary.get('TemplateId') template_name = dictionary.get('TemplateName') # Return an object of this model return cls( template_id, template_name )

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_base_ = [ '_base_master_resnet31.py', '../_base_/datasets/toy_data.py', '../_base_/default_runtime.py', '../_base_/schedules/schedule_adam_base.py', ] optim_wrapper = dict(optimizer=dict(lr=4e-4)) train_cfg = dict(max_epochs=12) # learning policy param_scheduler = [ dict(type='LinearLR', end=100, by_epoch=False), dict(type='MultiStepLR', milestones=[11], end=12), ] # dataset settings train_list = [_base_.toy_rec_train] test_list = [_base_.toy_rec_test] train_dataset = dict( type='ConcatDataset', datasets=train_list, pipeline=_base_.train_pipeline) test_dataset = dict( type='ConcatDataset', datasets=test_list, pipeline=_base_.test_pipeline) train_dataloader = dict( batch_size=2, num_workers=1, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=train_dataset) val_dataloader = dict( batch_size=2, num_workers=1, persistent_workers=True, drop_last=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=test_dataset) test_dataloader = val_dataloader val_evaluator = dict(dataset_prefixes=['Toy']) test_evaluator = val_evaluator

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for tc in range(int(input())): A, G = 0, 0 for i in range(int(input())): a, b = map(float, input().split()) A += a G += a * b G /= A print('{} {}'.format(int(A), round(G, 1)))

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import numpy, os, random, glob, pdb, gc import pickle as pickle from scipy import misc #import torch, torchvision from tensorflow.python.keras.backend import * import copy, time class ImageLoader(object): def _load_set(self, split, n_episodes): datalist = [] datapath = '{}/{}'.format(self.arg.get("datapath"), split) flist = os.listdir(datapath) print('loading {} new episodes for {} set'.format(n_episodes, split)) for i in range(1, n_episodes): if split == 'train': fdname = random.choice(flist) else: fdname = flist[i] abs_fdname = '{}/{}'.format(datapath, fdname) episode = None while (episode == None): # print('loading {}'.format(abs_fdname)) try: episode = numpy.load(abs_fdname) except: print('problem loading {}'.format(abs_fdname)) break states = episode['states'] actions = episode['actions'] assert(len(states) == len(actions)) assert(len(states) > 0) datalist.append({'states': states, 'actions': actions}) episode.close() gc.collect() return datalist def __init__(self, arg): super(ImageLoader, self).__init__() self.arg = arg self.datalist = [] self.h = arg.get('height') self.w = arg.get('width') self.nc = arg.get('nc') self.ncond = arg.get('ncond', 4) self.npred = arg.get('npred', 4) self.datalist_train = self._load_set('train', 500) self.datalist_valid = self._load_set('valid', 200) self.datalist_test = self._load_set('test', 200) self.iter_video_ptr = 0 self.iter_sample_ptr = self.ncond self.train_batch_cntr = 0 print("Dataloader for Atari constructed done") def reset_ptrs(self): self.iter_video_ptr = 0 self.iter_sample_ptr = self.ncond def _sample_time(self, video, actions, num_cond, num_pred): start_pos = random.randint(num_cond+1, video.shape[0]-num_pred-2) cond_frames = video[start_pos-num_cond:start_pos] pred_frames = video[start_pos:start_pos+num_pred] actions = actions[start_pos:start_pos+num_pred] return cond_frames, pred_frames, actions def _iterate_time(self, video, start_pos, actions, num_cond, num_pred): cond_frames = video[start_pos-num_cond:start_pos] pred_frames = video[start_pos:start_pos+num_pred] actions = actions[start_pos:start_pos+num_pred] return cond_frames, pred_frames, actions def get_batch(self, split): cond_frames, pred_frames, actions = [], [], [] if split == 'train': # since the training set is large, we fetch new episodes every so often if self.train_batch_cntr == 1000: self.datalist_train = self._load_set('train', 500) self.train_batch_cntr = 0 else: self.train_batch_cntr += 1 this_set = self.datalist_train elif split == 'valid': this_set = self.datalist_valid elif split == 'test': this_set = self.datalist_test # rolling id = 1 while id <= self.arg.get("batchsize"): sample = random.choice(this_set) sample_video = sample.get('states') sample_actions = sample.get('actions') if len(sample_actions) > self.ncond + self.npred + 2: selected_cond_frames, selected_pred_frames, selected_actions = self._sample_time( sample_video, sample_actions, self.ncond, self.npred) assert(len(selected_actions) > 0) cond_frames.append(selected_cond_frames) pred_frames.append(selected_pred_frames) actions.append(selected_actions) id += 1 # processing on the numpy array level cond_frames = numpy.array(cond_frames, dtype='float') / 255.0 pred_frames = numpy.array(pred_frames, dtype='float') / 255.0 actions = numpy.array(actions, dtype='float') # return tensor cond_frames_ts = torch.from_numpy(cond_frames).float() pred_frames_ts = torch.from_numpy(pred_frames).float() actions_ts = torch.from_numpy(actions.squeeze()).float() return cond_frames_ts.cuda(), pred_frames_ts.cuda(), actions_ts.cuda() def get_paired_batch(self, split): # hardcoded assert(self.npred == 2) assert(self.ncond == 4) cond, target, action = self.get_batch(split) cond1 = cond target1 = target[:, 0].unsqueeze(1) action1 = action[:, 0] cond2 = torch.cat((cond[:, 1:], target1), 1) target2 = target[:, 1].unsqueeze(1) action2 = action[:, 1] return cond1.clone(), target1.clone(), action1.clone(), cond2.clone(), target2.clone(), action2.clone() def get_iterated_batch(self, split): if split == 'train': this_set = self.datalist_train elif split == 'valid': this_set = self.datalist_valid elif split == 'test': this_set = self.datalist_test cond_frames, pred_frames, actions = [], [], [] # rolling id = 1 while id <= self.arg.get("batchsize"): if self.iter_video_ptr == len(this_set): return None, None, None sample = this_set[self.iter_video_ptr] sample_video = sample.get('states') sample_actions = sample.get('actions') if self.iter_sample_ptr + self.npred > sample_video.shape[0]: self.iter_video_ptr += 1 self.iter_sample_ptr = self.ncond else: selected_cond_frames, selected_pred_frames, selected_actions = self._iterate_time( sample_video, self.iter_sample_ptr, sample_actions, self.ncond, self.npred) assert(len(selected_actions) > 0) cond_frames.append(selected_cond_frames) pred_frames.append(selected_pred_frames) actions.append(selected_actions) id += 1 self.iter_sample_ptr += 10 # processing on the numpy array level cond_frames = numpy.array(cond_frames, dtype='float') / 255.0 pred_frames = numpy.array(pred_frames, dtype='float') / 255.0 actions = numpy.array(actions, dtype='float') # return tensor cond_frames_ts = torch.from_numpy(cond_frames).float() pred_frames_ts = torch.from_numpy(pred_frames).float() actions_ts = torch.from_numpy(actions.squeeze()).float() return cond_frames_ts.cuda(), pred_frames_ts.cuda(), actions_ts.cuda() def plot_seq(self, cond, pred): cond_pred = torch.cat((cond, pred), 1) cond_pred = cond_pred.view(-1, self.nc, self.h, self.w) grid = torchvision.utils.make_grid(cond_pred, self.ncond+self.npred, pad_value=1, normalize=True) return grid

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# https://leetcode.com/problems/subsets-ii/ class Solution: def subsetsWithDup(self, nums: List[int]) -> List[List[int]]: dic = {} for i in nums: dic[i] = dic.get(i, 0) + 1 res = [[]] for i, v in dic.items(): temp = res.copy() for j in res: temp.extend(j + [i]*(k + 1) for k in range(v)) res = temp return res """ Runtime: 44 ms, faster than 24.50% of Python3 online submissions for Subsets II. Memory Usage: 12.5 MB, less than 100.00% of Python3 online submissions for Subsets II. """

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# # @lc app=leetcode.cn id=33 lang=python3 # # [33] 搜索旋转排序数组 # # @lc code=start class Solution: def search(self, nums: List[int], target: int) -> int: # if len(nums) == 1 : # return 0 if target == nums[0] else -1 left , right = 0 , len(nums) while left < right: rotatePos = (left + right) // 2 if rotatePos == len(nums) - 1: break if nums[rotatePos]>nums[rotatePos+1]: rotatePos += 1 break if nums[rotatePos]>nums[left]: left = rotatePos + 1 else: right = rotatePos def foundIndex(nums, left, right,target): while left < right: mid = (left + right) // 2 if nums[mid] == target: return mid if target>nums[mid]: left = mid + 1 else: right = mid return -1 leftPart = foundIndex(nums,0,rotatePos,target) if leftPart != -1: return leftPart rightPart = foundIndex(nums,rotatePos,len(nums),target) return rightPart # @lc code=end

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def main(): ordem = int(input()) while ordem != 0: matriz = [] for i in range(1, ordem + 1): matriz += [[i] * ordem] for i in range(ordem): for j in range(ordem): if i == j: matriz[i][j] = 1 if i < j: matriz[i][j] = matriz[i][j - 1] + 1 if i > j: if j == 0: continue else: matriz[i][j] = matriz[i][j - 1] - 1 for i in range(ordem): for j in range(ordem): matriz[i][j] = str(matriz[i][j]) tamanho = len(matriz[i][j]) if j == 0: if tamanho == 1: print(' ' + matriz[i][j], end='') elif tamanho == 2: print(' ' + matriz[i][j], end='') else: print(matriz[i][j], end='') else: if tamanho == 1: print(' ' + matriz[i][j], end='') elif tamanho == 2: print(' ' + matriz[i][j], end='') else: print(' ' + matriz[i][j], end='') print() print() ordem = int(input()) if __name__ == '__main__': main()

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from _typeshed import Incomplete from influxdb_client.domain.threshold_base import ThresholdBase class RangeThreshold(ThresholdBase): openapi_types: Incomplete attribute_map: Incomplete discriminator: Incomplete def __init__( self, type: str = "range", min: Incomplete | None = None, max: Incomplete | None = None, within: Incomplete | None = None, level: Incomplete | None = None, all_values: Incomplete | None = None, ) -> None: ... @property def type(self): ... @type.setter def type(self, type) -> None: ... @property def min(self): ... @min.setter def min(self, min) -> None: ... @property def max(self): ... @max.setter def max(self, max) -> None: ... @property def within(self): ... @within.setter def within(self, within) -> None: ... def to_dict(self): ... def to_str(self): ... def __eq__(self, other): ... def __ne__(self, other): ...

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from xai.brain.wordbase.nouns._luau import _LUAU #calss header class _LUAUS(_LUAU, ): def __init__(self,): _LUAU.__init__(self) self.name = "LUAUS" self.specie = 'nouns' self.basic = "luau" self.jsondata = {}

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bcrafton/bp-analysis

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import numpy as np def combine_filter(f1, f2, stride=1): h1, w1, fin1, fout1 = np.shape(f1) h2, w2, fin2, fout2 = np.shape(f2) oh = h1 + 2*(h2 // 2) * stride ow = w1 + 2*(w2 // 2) * stride ofin = fin1 ofout = fout2 fout = np.zeros(shape=(oh, ow, ofin, ofout)) for x in range(h2): for y in range(w2): for c in range(fout2): sh = x * stride ; eh = x * stride + h1 sw = y * stride ; ew = y * stride + w1 fout[sh:eh, sw:ew, :, c] += np.sum(f2[x, y, :, c] * f1, axis=3) return fout

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#!/usr/bin/env python3 # ======================================== # # ============= INSTRUCTIONS ============= # # Add file to Deluge's Execute plugin for event Torrent Complete # Add api information to conf: watcherapi = 'APIKEY' watcheraddress = u'http://localhost:9090/' category = 'Watcher' # DO NOT TOUCH ANYTHING BELOW THIS LINE! # # ======================================== # import json import os import sys import urllib.request import urllib.parse data = {} args = sys.argv download_dir = args[3] while download_dir[-1] in ['/', '\\']: download_dir = download_dir[:-1] parent_folder = os.path.split(download_dir)[-1] if parent_folder.lower() != category.lower(): # Not watcher category sys.exit(0) data['apikey'] = watcherapi data['name'] = args[2] data['path'] = u'{}/{}'.format(download_dir, args[2]) data['downloadid'] = args[1] data['guid'] = args[1] data['mode'] = 'complete' url = u'{}/postprocessing/'.format(watcheraddress) post_data = urllib.parse.urlencode(data).encode('ascii') request = urllib.request.Request(url, post_data, headers={'User-Agent': 'Mozilla/5.0'}) response = json.loads(urllib.request.urlopen(request, timeout=600).read()) if response['status'] == 'finished': sys.exit(0) elif response['status'] == 'incomplete': sys.exit(1) else: sys.exit(1) sys.exit(0) # pylama:ignore=E402

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""" The MIT License (MIT) Copyright (c) 2021-present waifucord Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ from __future__ import annotations from typing import Optional, TYPE_CHECKING from .utils import MISSING, cached_slot_property from .mixins import Hashable from .errors import InvalidArgument from .enums import StagePrivacyLevel, try_enum __all__ = ("StageInstance",) if TYPE_CHECKING: from .chan.channel import StageInstance as StageInstancePayload from .state import ConnectionState from .channel import StageChannel from .guild import Guild class StageInstance(Hashable): """Represents a stage instance of a stage channel in a guild. .. versionadded:: 2.0 .. container:: operations .. describe:: x == y Checks if two stage instances are equal. .. describe:: x != y Checks if two stage instances are not equal. .. describe:: hash(x) Returns the stage instance's hash. Attributes ----------- id: :class:`int` The stage instance's ID. guild: :class:`Guild` The guild that the stage instance is running in. channel_id: :class:`int` The ID of the channel that the stage instance is running in. topic: :class:`str` The topic of the stage instance. privacy_level: :class:`StagePrivacyLevel` The privacy level of the stage instance. discoverable_disabled: :class:`bool` Whether discoverability for the stage instance is disabled. """ __slots__ = ( "_state", "id", "guild", "channel_id", "topic", "privacy_level", "discoverable_disabled", "_cs_channel", ) def __init__( self, *, state: ConnectionState, guild: Guild, data: StageInstancePayload ) -> None: self._state = state self.guild = guild self._update(data) def _update(self, data: StageInstancePayload): self.id: int = int(data["id"]) self.channel_id: int = int(data["channel_id"]) self.topic: str = data["topic"] self.privacy_level: StagePrivacyLevel = try_enum( StagePrivacyLevel, data["privacy_level"] ) self.discoverable_disabled: bool = data.get("discoverable_disabled", False) def __repr__(self) -> str: return f"<StageInstance id={self.id} guild={self.guild!r} channel_id={self.channel_id} topic={self.topic!r}>" @cached_slot_property("_cs_channel") def channel(self) -> Optional[StageChannel]: """Optional[:class:`StageChannel`]: The channel that stage instance is running in.""" # the returned channel will always be a StageChannel or None return self._state.get_channel(self.channel_id) # type: ignore def is_public(self) -> bool: return self.privacy_level is StagePrivacyLevel.public async def edit( self, *, topic: str = MISSING, privacy_level: StagePrivacyLevel = MISSING, reason: Optional[str] = None, ) -> None: """|coro| Edits the stage instance. You must have the :attr:`~Permissions.manage_channels` permission to use this. Parameters ----------- topic: :class:`str` The stage instance's new topic. privacy_level: :class:`StagePrivacyLevel` The stage instance's new privacy level. reason: :class:`str` The reason the stage instance was edited. Shows up on the audit log. Raises ------ InvalidArgument If the ``privacy_level`` parameter is not the proper type. Forbidden You do not have permissions to edit the stage instance. HTTPException Editing a stage instance failed. """ payload = {} if topic is not MISSING: payload["topic"] = topic if privacy_level is not MISSING: if not isinstance(privacy_level, StagePrivacyLevel): raise InvalidArgument( "privacy_level field must be of type PrivacyLevel" ) payload["privacy_level"] = privacy_level.value if payload: await self._state.http.edit_stage_instance( self.channel_id, **payload, reason=reason ) async def delete(self, *, reason: Optional[str] = None) -> None: """|coro| Deletes the stage instance. You must have the :attr:`~Permissions.manage_channels` permission to use this. Parameters ----------- reason: :class:`str` The reason the stage instance was deleted. Shows up on the audit log. Raises ------ Forbidden You do not have permissions to delete the stage instance. HTTPException Deleting the stage instance failed. """ await self._state.http.delete_stage_instance(self.channel_id, reason=reason)

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#!/usr/bin/env python from gi.repository import Gtk win = Gtk.Window() win.connect ("delete-event", Gtk.main_quit) win.show_all() Gtk.main()

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''' ================================================ ## VOICEBOOK REPOSITORY ## ================================================ repository name: voicebook repository version: 1.0 repository link: https://github.com/jim-schwoebel/voicebook author: Jim Schwoebel author contact: js@neurolex.co description: a book and repo to get you started programming voice applications in Python - 10 chapters and 200+ scripts. license category: opensource license: Apache 2.0 license organization name: NeuroLex Laboratories, Inc. location: Seattle, WA website: https://neurolex.ai release date: 2018-09-28 This code (voicebook) is hereby released under a Apache 2.0 license license. For more information, check out the license terms below. ================================================ ## LICENSE TERMS ## ================================================ Copyright 2018 NeuroLex Laboratories, Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ================================================ ## SERVICE STATEMENT ## ================================================ If you are using the code written for a larger project, we are happy to consult with you and help you with deployment. Our team has >10 world experts in Kafka distributed architectures, microservices built on top of Node.js / Python / Docker, and applying machine learning to model speech and text data. We have helped a wide variety of enterprises - small businesses, researchers, enterprises, and/or independent developers. If you would like to work with us let us know @ js@neurolex.co. ================================================ ## AUDIO_PATH.PY ## ================================================ Give some simple visual feedback when recording an audio stream. ''' import sounddevice as sd import soundfile as sf import random, time, librosa, os import numpy as np import matplotlib.pyplot as plt from drawnow import drawnow def make_fig(): plt.scatter(x, y) def record_data(filename, duration, fs, channels): # synchronous recording myrecording = sd.rec(int(duration * fs), samplerate=fs, channels=channels) sd.wait() sf.write(filename, myrecording, fs) y, sr = librosa.load(filename) rmse=np.mean(librosa.feature.rmse(y)[0]) os.remove(filename) return rmse*1000 # initialize plot plt.ion() # enable interactivity fig = plt.figure() # make a figure x = list() y = list() for i in range(100): # record 20ms of data sample=record_data('sample.wav',0.02, 44100, 1) x.append(i) y.append(sample) drawnow(make_fig) plt.savefig('stream.png') os.system('open stream.png')

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# Generated by Django 3.0.8 on 2020-08-18 00:30 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('eye', '0002_auto_20200812_1007'), ] operations = [ migrations.AlterModelTable( name='allocation', table='eye_allocation', ), migrations.AlterModelTable( name='assignment', table='eye_assignment', ), ]

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# User function Template for python3 # Function to get minimum number of trials needed in worst # case with n eggs and k floors import math def eggDrop(n, k): # code here # create table of n+1, k+1 dp = [[None] * (n + 1) for i in range(k + 1)] # fill # floor 0 with egg is zero # floor 1 with egg is 1 for i in range(1, n + 1): # floor 1 with egg is 1 dp[1][i] = 1 # floor 0 with egg is zero dp[0][i] = 0 for j in range(k + 1): # egg 1 for each floor is 1 dp[j][1] = j # check for egg with n value with f floors # min (max( case1 (break), case2 (do not break))) + 1 # min(dp[i][j], (max( dp[x-1,n-1], dp[f-x,e])) + 1) for floor in range(2, k + 1): for egg in range(2, n + 1): dp[floor][egg] = math.inf # iter for x for rem in range(1, floor + 1): dp[floor][egg] = min(dp[floor][egg], 1 + max(dp[rem - 1][egg - 1], dp[floor - rem][egg])) # print(dp) # print(dp[k][n]) return dp[k][n] # { # Driver Code Starts # Initial Template for Python 3 import atexit import io import sys # Contributed by : Nagendra Jha if __name__ == '__main__': test_cases = int(input()) for cases in range(test_cases): n, k = map(int, input().strip().split()) print(eggDrop(n, k)) # } Driver Code Ends

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#!/usr/bin/env python3 import numpy as np import tensorflow as tf MultiHeadAttention = __import__('6-multi_head_attention').MultiHeadAttention mha = MultiHeadAttention(512, 8) print(mha.dm) print(mha.h) print(mha.depth) print(mha.Wq) print(mha.Wk) print(mha.Wv) print(mha.linear) Q = tf.convert_to_tensor(np.random.uniform(size=(50, 15, 256)).astype('float32')) K = tf.convert_to_tensor(np.random.uniform(size=(50, 15, 256)).astype('float32')) V = tf.convert_to_tensor(np.random.uniform(size=(50, 15, 256)).astype('float32')) output, weights = mha(Q, K, V, None) print(output) print(weights)

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# -*- coding: utf-8 -*- ''' from settings import * DEBUG = False TEMPLATE_DEBUG = DEBUG MANAGERS = ( ('', ''), ('', ''), ) MEDIA_ROOT = '/var/www/home/' STATIC_ROOT = '/var/www/home/' DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'NAME': '', 'USER': '', 'PASSWORD': '', 'HOST': 'postgresql2.locum.ru', 'PORT': '5432', } } ALLOWED_HOSTS = ['127.0.0.1:8000', 'localhost', '', ''] ROBOTS_SITEMAP_URLS = ['/sitemap.xml'] ROBOTS_SITEMAP_HOST = '' DEFAULT_FROM_EMAIL = '' EMAIL_SUBJECT_PREFIX = '' EMAIL_HOST = '' EMAIL_PORT = 25 EMAIL_HOST_USER = '' EMAIL_HOST_PASSWORD = '' EMAIL_USE_TLS = True '''

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def get_list(): a_list = input("Enter elements of list separated by commas: ").strip().split(',') return a_list def get_integer(prompt): val = int(input(prompt)) return val def transform(list1, list2, r1, r2): new_list = [] for i in range(r1,r2): new_list.append(list1[i]) for i in range(len(new_list)): list1.remove(list1[r1]) list2.extend(reversed(new_list)) # Main program starts here - DO NOT change it list1 = get_list() list2 = get_list() index1 = get_integer("Enter from value: ") index2 = get_integer("Enter to value: ") transform(list1, list2, index1, index2) print(list1) print(list2)

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import asyncio from typing import List, Tuple from blspy import G2Element from clvm_tools import binutils from btcgreen.types.blockchain_format.program import Program, INFINITE_COST from btcgreen.types.announcement import Announcement from btcgreen.types.blockchain_format.coin import Coin from btcgreen.types.blockchain_format.sized_bytes import bytes32 from btcgreen.types.coin_solution import CoinSolution from btcgreen.types.spend_bundle import SpendBundle from btcgreen.util.condition_tools import ConditionOpcode from btcgreen.util.ints import uint64 from btcgreen.wallet.puzzles.load_clvm import load_clvm from tests.core.full_node.test_conditions import bt, check_spend_bundle_validity, initial_blocks SINGLETON_MOD = load_clvm("singleton_top_layer.clvm") LAUNCHER_PUZZLE = load_clvm("singleton_launcher.clvm") P2_SINGLETON_MOD = load_clvm("p2_singleton.clvm") POOL_MEMBER_MOD = load_clvm("pool_member_innerpuz.clvm") POOL_WAITINGROOM_MOD = load_clvm("pool_waitingroom_innerpuz.clvm") LAUNCHER_PUZZLE_HASH = LAUNCHER_PUZZLE.get_tree_hash() SINGLETON_MOD_HASH = SINGLETON_MOD.get_tree_hash() POOL_REWARD_PREFIX_MAINNET = bytes32.fromhex("ccd5bb71183532bff220ba46c268991a00000000000000000000000000000000") def check_coin_solution(coin_solution: CoinSolution): # breakpoint() try: cost, result = coin_solution.puzzle_reveal.run_with_cost(INFINITE_COST, coin_solution.solution) except Exception as ex: print(ex) # breakpoint() print(ex) def adaptor_for_singleton_inner_puzzle(puzzle: Program) -> Program: # this is prety slow return Program.to(binutils.assemble("(a (q . %s) 3)" % binutils.disassemble(puzzle))) def launcher_conditions_and_spend_bundle( parent_coin_id: bytes32, launcher_amount: uint64, initial_singleton_inner_puzzle: Program, metadata: List[Tuple[str, str]], launcher_puzzle: Program = LAUNCHER_PUZZLE, ) -> Tuple[Program, bytes32, List[Program], SpendBundle]: launcher_puzzle_hash = launcher_puzzle.get_tree_hash() launcher_coin = Coin(parent_coin_id, launcher_puzzle_hash, launcher_amount) singleton_full_puzzle = SINGLETON_MOD.curry( SINGLETON_MOD_HASH, launcher_coin.name(), launcher_puzzle_hash, initial_singleton_inner_puzzle ) singleton_full_puzzle_hash = singleton_full_puzzle.get_tree_hash() message_program = Program.to([singleton_full_puzzle_hash, launcher_amount, metadata]) expected_announcement = Announcement(launcher_coin.name(), message_program.get_tree_hash()) expected_conditions = [] expected_conditions.append( Program.to( binutils.assemble(f"(0x{ConditionOpcode.ASSERT_COIN_ANNOUNCEMENT.hex()} 0x{expected_announcement.name()})") ) ) expected_conditions.append( Program.to( binutils.assemble(f"(0x{ConditionOpcode.CREATE_COIN.hex()} 0x{launcher_puzzle_hash} {launcher_amount})") ) ) launcher_solution = Program.to([singleton_full_puzzle_hash, launcher_amount, metadata]) coin_solution = CoinSolution(launcher_coin, launcher_puzzle, launcher_solution) spend_bundle = SpendBundle([coin_solution], G2Element()) lineage_proof = Program.to([parent_coin_id, launcher_amount]) return lineage_proof, launcher_coin.name(), expected_conditions, spend_bundle def singleton_puzzle(launcher_id: Program, launcher_puzzle_hash: bytes32, inner_puzzle: Program) -> Program: return SINGLETON_MOD.curry(SINGLETON_MOD_HASH, launcher_id, launcher_puzzle_hash, inner_puzzle) def singleton_puzzle_hash(launcher_id: Program, launcher_puzzle_hash: bytes32, inner_puzzle: Program) -> bytes32: return singleton_puzzle(launcher_id, launcher_puzzle_hash, inner_puzzle).get_tree_hash() def solution_for_singleton_puzzle(lineage_proof: Program, my_amount: int, inner_solution: Program) -> Program: return Program.to([lineage_proof, my_amount, inner_solution]) def p2_singleton_puzzle(launcher_id: Program, launcher_puzzle_hash: bytes32) -> Program: return P2_SINGLETON_MOD.curry(SINGLETON_MOD_HASH, launcher_id, launcher_puzzle_hash) def p2_singleton_puzzle_hash(launcher_id: Program, launcher_puzzle_hash: bytes32) -> bytes32: return p2_singleton_puzzle(launcher_id, launcher_puzzle_hash).get_tree_hash() def test_only_odd_coins_0(): blocks = initial_blocks() farmed_coin = list(blocks[-1].get_included_reward_coins())[0] metadata = [("foo", "bar")] ANYONE_CAN_SPEND_PUZZLE = Program.to(1) launcher_amount = uint64(1) launcher_puzzle = LAUNCHER_PUZZLE launcher_puzzle_hash = launcher_puzzle.get_tree_hash() initial_singleton_puzzle = adaptor_for_singleton_inner_puzzle(ANYONE_CAN_SPEND_PUZZLE) lineage_proof, launcher_id, condition_list, launcher_spend_bundle = launcher_conditions_and_spend_bundle( farmed_coin.name(), launcher_amount, initial_singleton_puzzle, metadata, launcher_puzzle ) conditions = Program.to(condition_list) coin_solution = CoinSolution(farmed_coin, ANYONE_CAN_SPEND_PUZZLE, conditions) spend_bundle = SpendBundle.aggregate([launcher_spend_bundle, SpendBundle([coin_solution], G2Element())]) run = asyncio.get_event_loop().run_until_complete coins_added, coins_removed = run(check_spend_bundle_validity(bt.constants, blocks, spend_bundle)) coin_set_added = set([_.coin for _ in coins_added]) coin_set_removed = set([_.coin for _ in coins_removed]) launcher_coin = launcher_spend_bundle.coin_solutions[0].coin assert launcher_coin in coin_set_added assert launcher_coin in coin_set_removed assert farmed_coin in coin_set_removed # breakpoint() singleton_expected_puzzle_hash = singleton_puzzle_hash(launcher_id, launcher_puzzle_hash, initial_singleton_puzzle) expected_singleton_coin = Coin(launcher_coin.name(), singleton_expected_puzzle_hash, launcher_amount) assert expected_singleton_coin in coin_set_added # next up: spend the expected_singleton_coin # it's an adapted `ANYONE_CAN_SPEND_PUZZLE` # then try a bad lineage proof # then try writing two odd coins # then try writing zero odd coins # then, destroy the singleton with the -113 hack return 0

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.4' # jupytext_version: 1.2.0 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # s_checklist_scenariobased_step07 [<img src="https://www.arpm.co/lab/icons/icon_permalink.png" width=30 height=30 style="display: inline;">](https://www.arpm.co/lab/redirect.php?code=s_checklist_scenariobased_step07&codeLang=Python) # For details, see [here](https://www.arpm.co/lab/redirect.php?permalink=ex-vue-7). # + import numpy as np import pandas as pd from arpym.portfolio import spectral_index from arpym.statistics import meancov_sp, quantile_sp # - # ## [Input parameters](https://www.arpm.co/lab/redirect.php?permalink=s_checklist_scenariobased_step07-parameters) # + # indicates which projection to continue from # True: use copula-marginal projections # False: use historical projections copula_marginal = True lam = 3e-7 # parameter of exponential utility function c_quantile = 0.95 # confidence level for the quantile satisfaction measure c_es = 0.95 # confidence level for the negative expected shortfall # - # ## [Step 0](https://www.arpm.co/lab/redirect.php?permalink=s_checklist_scenariobased_step07-implementation-step00): Load data # + path = '../../../databases/temporary-databases/' if copula_marginal: # Projection db_projection_tools = pd.read_csv(path + 'db_projection_tools.csv') j_ = int(db_projection_tools['j_'][0]) db_scenprob = pd.read_csv(path + 'db_scenario_probs.csv') p = db_scenprob['p'].values # Pricing db_pricing = pd.read_csv(path + 'db_pricing.csv') pi_tnow_thor = db_pricing.values # Aggregation db_exante_perf = pd.read_csv(path + 'db_exante_perf.csv') y_h = db_exante_perf.values.squeeze() else: # Projection db_projection_tools = pd.read_csv(path + 'db_projection_bootstrap_tools.csv') j_ = int(db_projection_tools['j_'][0]) db_scenprob = pd.read_csv(path + 'db_scenario_probs_bootstrap.csv') p = db_scenprob['p'].values # Pricing db_pricing = pd.read_csv(path + 'db_pricing_historical.csv') pi_tnow_thor = db_pricing.values # Aggregation db_exante_perf = pd.read_csv(path + 'db_exante_perf_historical.csv') y_h = db_exante_perf.values.squeeze() db_holdings = pd.read_csv(path + 'db_holdings.csv') h = np.squeeze(db_holdings.values) # - # ## [Step 1](https://www.arpm.co/lab/redirect.php?permalink=s_checklist_scenariobased_step07-implementation-step01): Calculate certainty equivalent satisfaction measure # + # expected utility expected_utility = p @ (-np.exp(-lam * y_h)) # expected utility computation # certainty equivalent satisfaction measure cert_eq_yh = -(1 / lam) * np.log(-expected_utility) # - # ## [Step 2](https://www.arpm.co/lab/redirect.php?permalink=s_checklist_scenariobased_step07-implementation-step02): Quantile satisfaction measure # quantile q_yh = quantile_sp(1 - c_quantile, y_h, p, method='kernel_smoothing') # ## [Step 3](https://www.arpm.co/lab/redirect.php?permalink=s_checklist_scenariobased_step07-implementation-step03): Expected shortfall satisfaction measure # + # indicator function def indicator(x): return (0 <= x and x <= 1 - c_es) # spectrum function def spectr_es(x): return (1 / (1 - c_es)) * indicator(x) # negative expected shortfall es_yh, _ = spectral_index(spectr_es, pi_tnow_thor, p, h) # - # ## [Step 4](https://www.arpm.co/lab/redirect.php?permalink=s_checklist_scenariobased_step07-implementation-step04): Expectation and variance satisfaction measures # expectation satisfaction measure mean_yh, var_yh = meancov_sp(y_h, p) # opposite of variance is satisfaction measure neg_var_yh = -var_yh # ## [Step 5](https://www.arpm.co/lab/redirect.php?permalink=s_checklist_scenariobased_step07-implementation-step05): Save database # + out = pd.DataFrame({'cert_eq_yh': pd.Series(cert_eq_yh), 'q_yh': pd.Series(q_yh), 'es_yh': pd.Series(es_yh), 'mean_yh': pd.Series(mean_yh), 'neg_var_yh': pd.Series(neg_var_yh), 'c_es': pd.Series(c_es), 'c_quantile': pd.Series(c_quantile)}) if copula_marginal: out.to_csv(path + 'db_quantile_and_satis.csv', index=False) else: out.to_csv(path + 'db_quantile_and_satis_historical.csv', index=False) del out

[ "dario.popadic@yahoo.com" ]

dario.popadic@yahoo.com

df39f1b43eaa8211c126ff9d37b5062dbbbf6b0a

7f99fb1f9d051dbcd13770e7a08e92f90e6027ca

/Analyzer/fakeRateGetRatesMuons_DiBoson_cfg.py

505ad378830fb34d6a4008d8b48de6479a3b79a3

[]

no_license

kmtos/AnalyzerGeneratorRecoVariousFunctions

be54dd360a37b4ef1aeef2ee692ada4351b7db2e

acd8cde2f5657674c73eae9af28f3235b9b3f7c5

refs/heads/master

2021-01-10T08:34:49.953330

2018-07-26T12:36:41

50,570,873

0

null

UTF-8

Python

false

3,085

py

### PDG IDs ### A_PDGID = 36 MU_PDGID = 13 TAU_PDGID = 15 ANY_PDGID = 0 ### Tau decay types ### TAU_HAD = 0 TAU_MU = 1 TAU_E = 2 TAU_ALL = 3 ### Tau hadronic decay types ### TAU_ALL_HAD = -1 TAU_1PRONG_0NEUTRAL = 0 TAU_1PRONG_1NEUTRAL = 1 TAU_1PRONG_2NEUTRAL = 2 TAU_1PRONG_3NEUTRAL = 3 TAU_1PRONG_NNEUTRAL = 4 TAU_2PRONG_0NEUTRAL = 5 TAU_2PRONG_1NEUTRAL = 6 TAU_2PRONG_2NEUTRAL = 7 TAU_2PRONG_3NEUTRAL = 8 TAU_2PRONG_NNEUTRAL = 9 TAU_3PRONG_0NEUTRAL = 10 TAU_3PRONG_1NEUTRAL = 11 TAU_3PRONG_2NEUTRAL = 12 TAU_3PRONG_3NEUTRAL = 13 TAU_3PRONG_NNEUTRAL = 14 TAU_RARE = 15 ### No consideration of pT rank ### ANY_PT_RANK = -1 ################# # Initialization ################# import FWCore.ParameterSet.Config as cms import FWCore.Utilities.FileUtils as FileUtils process = cms.Process("CleanJetsAnalyzer") ################################################### # initialize MessageLogger and output report ################################################### process.load("FWCore.MessageLogger.MessageLogger_cfi") process.MessageLogger.cerr.FwkReport.reportEvery = cms.untracked.int32(100) process.options = cms.untracked.PSet( wantSummary = cms.untracked.bool(True), SkipEvent = cms.untracked.vstring('ProductNotFound') ) process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1) ) #################### # Input File List #################### process.source = cms.Source("PoolSource", fileNames = cms.untracked.vstring( 'root://eoscms/FILE_PATHRegionB_selection_NUM.root') ) process.ggh = cms.EDAnalyzer("FakeRateMiniAODGetRatesMuons", outFileName = cms.string('/afs/cern.ch/work/k/ktos/public/CMSSW_8_0_17/src/AnalyzerGeneratorRecoVariousFunctions/Analyzer/BSUB/DIRNAME/DIRNAME_Plots_NUM.root'), mu1Tag = cms.InputTag("GetMuOne"), muonsTag = cms.InputTag("MuonsIDdxydz"), tauTag = cms.InputTag("slimmedTausMuonCleaned"), tauIsoTag = cms.string("byMediumIsolationMVArun2v1DBoldDMwLT"), decayModeFindingTag = cms.string("decayModeFinding"), checkTau = cms.bool(False), checkTauIso = cms.bool(False), passTauIso = cms.bool(False), mu3dRMin = cms.double(0.0), mu3dRMax = cms.double(0.8), tauPtCut = cms.double(10.0), mu3dROverlapCut = cms.double(.4), requireRemovedMuon = cms.bool(True), checkInvMass = cms.bool(True), checkInvMassMin = cms.double(81), checkInvMassMax = cms.double(101), relIsoCutVal = cms.double(0.25), passRelIso = cms.bool(True), mu12dRCut = cms.double(600), oppositeSign = cms.bool(True), passdR = cms.bool(True), mu2PtCut = cms.double(3), passMu2PtCutForMu3Rate = cms.bool(True), isMC = cms.bool(True), xsec = cms.double(XSEC), lumi = cms.double(LUMI_DATA), summedWeights = cms.double(SUMMED_WEIGHTS), pileupSummaryInfo = cms.InputTag("slimmedAddPileupInfo", "", "PAT"), genEventInfoToken = cms.InputTag("generator", "", "SIM"), PileupFileName = cms.string('/afs/cern.ch/user/k/ktos/GroupDir/CMSSW_8_0_17/src/AnalyzerGeneratorRecoVariousFunctions/Analyzer/FILE_TESTS/PileupWeights.root') ) process.p2 = cms.Path( process.ggh )

[ "kmtos@ucdavis.edu" ]

kmtos@ucdavis.edu

a94dad9094cd2893b487f36a7115d0663e3c5db0

526bf18a8695862067c817f432ab197ceb645f39

/migrations/versions/76fb82b8961b_cars_add_location_diller.py

985f450b99df7550155f2a0c2b4945f918d451e9

[]

no_license

sintimaski/bfs-be

a7fd623911a2220face49a0ef84574f3fd7a09a8

964a9c7e9cc876aaf8b0723d6b3f26bd378c3721

refs/heads/master

2023-08-02T09:00:44.855055

2021-09-22T13:07:01

339,531,610

0

null

UTF-8

Python

false

704

py

"""common add location diller Revision ID: 76fb82b8961b Revises: 920ac7659cb4 Create Date: 2020-09-15 08:23:44.523023 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = "76fb82b8961b" down_revision = "920ac7659cb4" branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.add_column( "car_product", sa.Column("location_diller", sa.Text(), nullable=True) ) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.drop_column("car_product", "location_diller") # ### end Alembic commands ###

[ "dimadrebezov@gmail.com" ]

dimadrebezov@gmail.com

b6a81ff24dc21edef75de72eabcc703386468603

33c51931bc7d6f73da5a64ecc0e7cb751e7fc62c

/karesansui/db/model/option.py

b43f24a1ca8043122b981e017ab2dccc30551e60

[ "MIT", "GPL-1.0-or-later" ]

permissive

qmutz/karesansui

e86ed107f313f8c4140797a2c3250c5f16b524c2

f4ba1cf6f88cf76c3e4dbc444139d73134f7c9d1

refs/heads/develop

2023-05-06T14:52:38.668631

2019-02-01T03:57:00

316,682,704

0

MIT

2021-06-03T14:59:45

2020-11-28T07:43:33

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UTF-8

Python

false

6,806

py

#!/usr/bin/env python # -*- coding: utf-8 -*- # # This file is part of Karesansui Core. # # Copyright (C) 2009-2012 HDE, Inc. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # import sqlalchemy from sqlalchemy.orm import mapper, clear_mappers, relation import karesansui import karesansui.db.model from karesansui.lib.const import DEFAULT_LANGS def get_option_table(metadata, now): """<comment-ja> Option のテーブル定義を返却します。 @param metadata: MetaData @type metadata: sqlalchemy.schema.MetaData @param now: now @type now: Datatime @return: sqlalchemy.schema.Table </comment-ja> <comment-en> TODO: English Comment </comment-en> """ return sqlalchemy.Table('option', metadata, sqlalchemy.Column('id', sqlalchemy.Integer, primary_key=True, autoincrement=True, ), sqlalchemy.Column('created_user_id', sqlalchemy.Integer, sqlalchemy.ForeignKey('user.id'), ), sqlalchemy.Column('modified_user_id', sqlalchemy.Integer, sqlalchemy.ForeignKey('user.id'), ), sqlalchemy.Column('key', sqlalchemy.String(12), nullable=False, unique=True, ), sqlalchemy.Column('value', sqlalchemy.Text, nullable=True, ), sqlalchemy.Column('created', sqlalchemy.DateTime, default=now, ), sqlalchemy.Column('modified', sqlalchemy.DateTime, default=now, onupdate=now, ), ) class Option(karesansui.db.model.Model): """<comment-ja> Optionテーブルモデルクラス </comment-ja> <comment-en> TODO: English Comment </comment-en> """ def __init__(self, created_user, modified_user, key, value=None): """<comment-ja> @param created_user: 作成者 @type created_user: User @param modified_user: 最終更新者 @type modified_user: User @param key: option key @type key: str @param value: option value @type value: str(Text) </comment-ja> <comment-en> TODO: English Comment </comment-en> """ self.created_user = created_user self.modified_user = modified_user self.key = key self.value = value def get_json(self, languages): ret = {} ret["id"] = self.id ret["key"] = self.key ret["value"] = self.value ret["created_user_id"] = self.created_user_id ret["created_user"] = self.created_user.get_json(languages) ret["modified_user_id"] = self.modified_user_id ret["modified_user"] = self.modified_user.get_json(languages) try: ret["created"] = self.created.strftime( DEFAULT_LANGS[languages]['DATE_FORMAT'][1]) except: ret["created"] = "unknown" try: ret["modified"] = self.modified.strftime( DEFAULT_LANGS[languages]['DATE_FORMAT'][1]) except: ret["modified"] = "unknown" return ret def __repr__(self): return "Option<'key=%s, value=%s>" \ % (self.key, self.value) def reload_mapper(metadata, now): """<comment-ja> Option(Model)のマッパーをリロードします。 @param metadata: リロードしたいMetaData @type metadata: sqlalchemy.schema.MetaData @param now: now @type now: Datatime </comment-ja> <comment-en> TODO: English Comment </comment-en> """ t_option = get_option_table(metadata, now) t_user = metadata.tables['user'] mapper(Option, t_option, properties={ 'created_user' : relation(karesansui.db.model.user.User, primaryjoin=t_option.c.created_user_id==t_user.c.id), 'modified_user' : relation(karesansui.db.model.user.User, primaryjoin=t_option.c.modified_user_id==t_user.c.id), }) if __name__ == '__main__': import sqlalchemy.orm bind_name = 'sqlite:///:memory:' engine = sqlalchemy.create_engine(bind_name, encoding="utf-8", convert_unicode=True, #assert_unicode='warn', # DEBUG echo=True, echo_pool=False ) metadata = sqlalchemy.MetaData(bind=engine) if metadata.bind.name == 'sqlite': _now = sqlalchemy.func.datetime('now', 'localtime') else: _now = sqlalchemy.func.now() reload_mapper(metadata, _now) import pdb; pdb.set_trace() metadata.drop_all() metadata.create_all() Session = sqlalchemy.orm.sessionmaker(bind=engine, autoflush=False) session = Session() # INSERT # SELECT One # UPDATE # DELETE

[ "taizo@karesansui-project.info" ]

taizo@karesansui-project.info

fd67b2cea25f2c76efaf85561698eed8bbd55edd

88e06bab1989c81a2dd649bb09b144fa7c958f89

/leet_subarray_with_k_different_integers.py

e67b6bb2f63e7f22e17fc918d64b415ae5cb16f5

[]

no_license

VaibhavD143/Coding

4499526b22ee4ef13f66c3abcea671c80a8f748a

5de3bae8891c7d174cbc847a37c3afb00dd28f0e

refs/heads/master

2023-08-06T21:56:44.934954

2021-10-09T18:31:29

263,890,286

0

null

UTF-8

Python

false

1,572

py

""" Intution: l1 is left-most valid index for substring ending at rth index l2 is left-most index from where substring becomes invalid ending at rth index so we can generate l2-l1 substrings ending at rth index Valid : have exactly K distinct elements """ from collections import defaultdict class Solution: def subarraysWithKDistinct(self, lst: List[int], K: int) -> int: l1 = l2 = res = 0 dist1 = dist2 = 0 ha1 = {} ha2 = {} for r in range(len(lst)): if ha1.get(lst[r],0) == 0: dist1+=1 if ha2.get(lst[r],0) == 0: dist2+=1 ha1[lst[r]] = ha1.get(lst[r],0)+1 ha2[lst[r]] = ha2.get(lst[r],0)+1 while dist1>K: ha1[lst[l1]] -=1 if ha1[lst[l1]] == 0: dist1-=1 l1+=1 while dist2>=K: ha2[lst[l2]] -=1 if ha2[lst[l2]] == 0: dist2-=1 l2+=1 res+=l2-l1 return res # return self.atMostK(A,K)-self.atMostK(A,K-1) def atMostK(self,lst,k): l = res = 0 ha = defaultdict(int) dist = 0 for r in range(len(lst)): if ha[lst[r]] == 0: dist+=1 ha[lst[r]]+=1 while dist>k: ha[lst[l]]-=1 if ha[lst[l]] == 0: dist-=1 l+=1 res+= r-l+1 return res

[ "vaibhav.dodiya143vd@gmail.com" ]

vaibhav.dodiya143vd@gmail.com

cfeefe2c257d1544d9c955d1dc11614118070a9c

15e8a393f6c71ba77094a1718f4f89050409c7ae

/library/templatetags/book_tags.py

9a7f4c4fe3a48fb66d691bf5f46e69dbe8b81227

[]

no_license

emilte/johansson

21a3e20208c67725776af0f94de4c29150935b50

d16bdde26e840814562f668904b2f5588c0a13ad

refs/heads/master

2023-07-23T21:01:32.830302

2021-09-05T14:56:01

390,360,563

0

null

2021-08-30T00:42:49

2021-07-28T13:26:31

SCSS

UTF-8

Python

false

2,133

py

# imports import PIL import random from django import template from django.conf import settings from django.utils import timezone from django.templatetags.static import static from django.contrib.auth.models import Permission # End: imports ----------------------------------------------------------------- register = template.Library() # https://docs.djangoproject.com/en/3.0/howto/custom-template-tags/ @register.inclusion_tag('library/components/book.html') def display_book(request, perms, book, **kwargs): return { 'request': request, 'perms': perms, 'book': book, 'classes': kwargs.get('classes'), } @register.inclusion_tag('library/components/book_filter_form.html') def display_book_filter(request, perms, form, **kwargs): return { 'request': request, 'perms': perms, 'form': form, 'classes': kwargs.get('classes'), 'action': kwargs.get('action'), } # https://docs.djangoproject.com/en/3.0/howto/custom-template-tags/ # @register.simple_tag # def get_image(model, fielname): # if not model or not getattr(model, fieldname): # return static('/root/img/image-placeholder.png') # return getattr(model, fieldname).url # # # https://stackoverflow.com/questions/16348003/displaying-a-timedelta-object-in-a-django-template # @register.filter() # def smooth_timedelta(timedeltaobj): # """Convert a datetime.timedelta object into Days, Hours, Minutes, Seconds.""" # if not timedeltaobj: # return None # secs = timedeltaobj.total_seconds() # timetot = "" # if secs > 86400: # 60sec * 60min * 24hrs # days = secs // 86400 # timetot += "{} dager".format(int(days)) # secs = secs - days*86400 # # if secs > 3600: # hrs = secs // 3600 # timetot += " {} timer".format(int(hrs)) # secs = secs - hrs*3600 # # if secs > 60: # mins = secs // 60 # timetot += " {} minutter".format(int(mins)) # secs = secs - mins*60 # # if secs > 0: # timetot += " {} sekunder".format(int(secs)) # return timetot #

[ "emil.telstad@gmail.com" ]

emil.telstad@gmail.com

132f1bff7f32b051fa9726e0c877ce090d8c5506

c264153f9188d3af187905d846fa20296a0af85d

/Python/Python3网络爬虫开发实战/《Python3网络爬虫开发实战》随书源代码/jiepai/spider.py

7ca771da154f16c51cbbbec444ee1ad0371ecea2

[]

no_license

IS-OSCAR-YU/ebooks

5cd3c1089a221759793524df647e231a582b19ba

b125204c4fe69b9ca9ff774c7bc166d3cb2a875b

refs/heads/master

2023-05-23T02:46:58.718636

2021-06-16T12:15:13

null

0

null

UTF-8

Python

false

1,905

py

import os from multiprocessing.pool import Pool import requests from urllib.parse import urlencode from hashlib import md5 def get_page(offset): params = { 'offset': offset, 'format': 'json', 'keyword': '街拍', 'autoload': 'true', 'count': '20', 'cur_tab': '1', } url = 'http://www.toutiao.com/search_content/?' + urlencode(params) try: response = requests.get(url) if response.status_code == 200: return response.json() except requests.ConnectionError: return None def get_images(json): if json.get('data'): for item in json.get('data'): title = item.get('title') images = item.get('image_detail') for image in images: yield { 'image': image.get('url'), 'title': title } def save_image(item): if not os.path.exists(item.get('title')): os.mkdir(item.get('title')) try: response = requests.get(item.get('image')) if response.status_code == 200: file_path = '{0}/{1}.{2}'.format(item.get('title'), md5(response.content).hexdigest(), 'jpg') if not os.path.exists(file_path): with open(file_path, 'wb') as f: f.write(response.content) else: print('Already Downloaded', file_path) except requests.ConnectionError: print('Failed to Save Image') def main(offset): json = get_page(offset) for item in get_images(json): print(item) save_image(item) GROUP_START = 1 GROUP_END = 20 if __name__ == '__main__': pool = Pool() groups = ([x * 20 for x in range(GROUP_START, GROUP_END + 1)]) pool.map(main, groups) pool.close() pool.join()

[ "jiangzhangha@163.com" ]

jiangzhangha@163.com

335096cb45cac78881b05c35bf2129c9b91761c7

76742bf1c7dee6a01a0a41402fe734eeb0da3d74

/venv/bin/sphinx-autogen

7607e9cf2f5bad91acbff30af728168c78ff5ba7

[]

no_license

Zacharilius/tangoProject

e5490c80af3caaabe2cf132a40387db2574713dc

305fa20e344f8ad24514dff959be3e4e3632645e

refs/heads/master

2021-01-22T23:26:51.921743

2015-03-17T17:52:22

29,359,319

0

null

UTF-8

Python

false

280

#!/home/zacharilius/Documents/GitHub/tangoProject/venv/bin/python # -*- coding: utf-8 -*- import re import sys from sphinx.ext.autosummary.generate import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())

[ "zabensley@gmail.com" ]

zabensley@gmail.com

741026f4fb0abd4abf264a986c30c02d470275ad

21c6989099b95e608c73b246c5ccc97dfac688da

/testserver.py

b7d29e7363de0bf4c74e4e5fc18ed0a4cdfda7d1

[]

no_license

ashcrow/taboot-tailer

a8200dedab4084041ec1f931b93d53360e5789f2

4c403cfaeb38e7a3b10478b74b28e5b31b1d4e5b

refs/heads/master

2021-01-21T01:18:05.144141

2014-05-23T15:39:45

null

0

null

UTF-8

Python

false

505

py

#!/usr/bin/env python import SimpleHTTPServer import SocketServer def main(): SocketServer.TCPServer.allow_reuse_address = True httpd = SocketServer.TCPServer(( "127.0.0.1", 5000), SimpleHTTPServer.SimpleHTTPRequestHandler) print "Do not use this server for anything but testing!" print "Serving on 127.0.0.1:5000. Hit ctrl+c to exit." try: httpd.serve_forever() except KeyboardInterrupt: httpd.shutdown() if __name__ == '__main__': main()

[ "stevem@gnulinux.net" ]

stevem@gnulinux.net

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AnguseZhang/Input_TI

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import os dir = '/mnt/scratch/songlin3/run/ptp1b/L84/wat_20Abox/ti_one-step/84_85/' filesdir = dir + 'files/' temp_equiin = filesdir + 'temp_equi.in' temp_pbs = filesdir + 'temp_1ns_equi.pbs' lambd = [ 0.00922, 0.04794, 0.11505, 0.20634, 0.31608, 0.43738, 0.56262, 0.68392, 0.79366, 0.88495, 0.95206, 0.99078] for j in lambd: os.system("rm -r %6.5f" %(j)) os.system("mkdir %6.5f" %(j)) os.chdir("%6.5f" %(j)) os.system("rm *") workdir = dir + "%6.5f" %(j) + '/' #equiin eqin = workdir + "%6.5f_equi.in" %(j) os.system("cp %s %s" %(temp_equiin, eqin)) os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, eqin)) #PBS pbs = workdir + "%6.5f_1ns_equi.pbs" %(j) os.system("cp %s %s" %(temp_pbs, pbs)) os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, pbs)) #top os.system("cp ../84-85_merged.prmtop .") os.system("cp ../0.5_equi_0.rst .") #submit pbs os.system("qsub %s" %(pbs)) os.chdir(dir)

[ "songlin3@msu.edu" ]

songlin3@msu.edu

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from xai.brain.wordbase.nouns._crock import _CROCK #calss header class _CROCKS(_CROCK, ): def __init__(self,): _CROCK.__init__(self) self.name = "CROCKS" self.specie = 'nouns' self.basic = "crock" self.jsondata = {}

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

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from .binding import HostGuestBindingAffinity from .density import Density, ExcessMolarVolume from .dielectric import DielectricConstant from .enthalpy import EnthalpyOfMixing, EnthalpyOfVaporization from .solvation import SolvationFreeEnergy __all__ = [ HostGuestBindingAffinity, Density, ExcessMolarVolume, DielectricConstant, EnthalpyOfMixing, EnthalpyOfVaporization, SolvationFreeEnergy, ]

[ "simon.boothroyd@colorado.edu" ]

simon.boothroyd@colorado.edu

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/prob1.py

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shihyuuuuuuu/LeetCode_practice

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class Solution: # Prettier def twoSum(self, nums: List[int], target: int) -> List[int]: d = {} for cnt, i in enumerate(nums): if d.get(target - i, -1) != -1: return [d[target-i], cnt] else: d[i] = cnt # Faster, more memory def twoSum(self, nums: List[int], target: int) -> List[int]: num_dict = {} for idx, i in enumerate(nums): num_dict[i] = idx for idx, i in enumerate(nums): if((target - i) in num_dict and num_dict[target-i] != idx): return [idx, num_dict[target-i]] # Slower, less memory def twoSum_ver2(self, nums: List[int], target: int) -> List[int]: for idx1, i in enumerate(nums): for idx2, j in enumerate(nums[idx1+1:]): if(i + j == target): return [idx1, idx1+idx2+1]

[ "www.elmo20816@gmail.com" ]

www.elmo20816@gmail.com