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

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import bpy from animation_nodes.mn_execution import nodePropertyChanged from animation_nodes.mn_node_base import * class mn_EdgeIndicesListSocket(mn_BaseSocket, mn_SocketProperties): bl_idname = "mn_EdgeIndicesListSocket" bl_label = "Edge Indices List Socket" dataType = "Edge Indices List" allowedInputTypes = ["Edge Indices List"] drawColor = (0, 0.55, 0.23, 1) def drawInput(self, layout, node, text): layout.label(text) def getValue(self): return [] def setStoreableValue(self, data): pass def getStoreableValue(self): pass def getCopyValueFunctionString(self): return "return [edgeIndices[:] for edgeIndices in value]"

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# -*- coding: utf-8 -*- # Generated by Django 1.11.3 on 2018-07-03 13:56 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('book', '0006_auto_20180619_2116'), ] operations = [ migrations.AddField( model_name='story', name='html', field=models.TextField(default='', help_text='\u6b63\u6587\u53ef\u4ee5\u4f7f\u7528markdown', verbose_name='html\u6e32\u67d3\u540e\u7684\u9875\u9762'), ), migrations.AddField( model_name='story', name='is_markdown', field=models.BooleanField(default=True, verbose_name='\u4f7f\u7528markdown'), ), ]

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class LinkedListNode: def __init__(self, data): self.next = None self.data = data def __str__(self): node_str = "" current_node = self while current_node: if current_node.next: node_str = node_str + str(current_node.data) + ", " else: node_str = node_str + str(current_node.data) current_node = current_node.next return node_str

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import seaborn as sns print("# titanic 데이터셋의 부분을 선택하여 데이터프레임 만들기") titanic = sns.load_dataset('titanic') df = titanic.loc[0:4, 'survived':'age'] print(df, '\n') print("# 열 이름의 리스트 만들기") columns = list(df.columns.values) # 기존 열 이름 print("ssss", sorted(columns, reverse=True), type(sorted(columns, reverse=True))) print("# 열 이름을 알파벳 순으로 정렬하기") columns_sorted = sorted(columns) # 알파벳 순으로 정렬 df_sorted = df[columns_sorted] print(df_sorted, '\n') print(columns_sorted, '\n') print("# 열 이름을 기존 순서의 정반대 역순으로 정렬하기") columns_reversed = list(sorted(columns, reverse=True)) df_reversed = df[columns_reversed] print(df_reversed, '\n') print(columns_reversed, '\n') print("# 열 이름을 사용자가 정의한 임의의 순서로 재배치하기") columns_customed = ['pclass', 'sex', 'age', 'survived'] df_customed = df[columns_customed] print(df_customed)

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net94.teacher@gmail.com

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''' Created on Dec 10, 2014 @author: ronaldjosephdesmarais ''' ints = [5,8.2,1,7,4.1,13,12,4.1,8.2] print "------use python sorted------" print sorted(ints) print "------use dictionary ------" srt_dict = {} srt_arr = [] for i in ints: if i not in srt_dict: srt_dict[i]=1 else: srt_dict[i]=srt_dict[i]+1 for i_key in srt_dict: for i in range(0,srt_dict[i_key]): srt_arr.append(i_key) print srt_arr

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# Generated by Django 2.2.4 on 2019-10-01 05:28 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('product', '0028_aboutiteam'), ] operations = [ migrations.AddField( model_name='product', name='visibility', field=models.BooleanField(default=True, verbose_name='Make this product visibile?'), ), migrations.AlterField( model_name='aboutiteam', name='logo', field=models.ImageField(help_text='Image size: width=192px height=31px', upload_to='logo/'), ), ]

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from functools import lru_cache from .data import Attribute from .ids.unit_typeid import UnitTypeId from .ids.ability_id import AbilityId class GameData(object): def __init__(self, data): self.abilities = {a.ability_id: AbilityData(self, a) for a in data.abilities} self.units = {u.unit_id: UnitTypeData(self, u) for u in data.units if u.available} self.upgrades = {u.upgrade_id: UpgradeData(self, u) for u in data.upgrades} @lru_cache(maxsize=256) def calculate_ability_cost(self, ability): for unit in self.units.values(): if unit.creation_ability == ability: return unit.cost for upgrade in self.upgrades.values(): if upgrade.research_ability == ability: return upgrade.cost return Cost(0, 0) class AbilityData(object): def __init__(self, game_data, proto): self._game_data = game_data self._proto = proto @property def id(self): if self._proto.remaps_to_ability_id: return AbilityId(self._proto.remaps_to_ability_id) return AbilityId(self._proto.ability_id) @property def cost(self): return self._game_data.calculate_ability_cost(self.id) def __repr__(self): return f"AbilityData(name={self._proto.button_name})" class UnitTypeData(object): def __init__(self, game_data, proto): self._game_data = game_data self._proto = proto @property def name(self): return self._proto.name @property def creation_ability(self): return self._game_data.abilities[self._proto.ability_id] @property def attributes(self): return self._proto.attributes @property def has_attribute(self, attr): assert isinstance(attr, Attribute) return attr in self.attributes @property def has_minerals(self): return self._proto.has_minerals @property def has_vespene(self): return self._proto.has_vespene @property def cost(self): return Cost( self._proto.mineral_cost, self._proto.vespene_cost ) class UpgradeData(object): def __init__(self, game_data, proto): self._game_data = game_data self._proto = proto @property def name(self): return self._proto.name @property def research_ability(self): return self._game_data.abilities[self._proto.ability_id] @property def cost(self): return Cost( self._proto.mineral_cost, self._proto.vespene_cost ) class Cost(object): def __init__(self, minerals, vespene, time=None): self.minerals = minerals self.vespene = vespene self.time = time def __repr__(self): return f"Cost({self.minerals}, {self.vespene})"

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import torchvision.transforms.functional as F from PIL import Image class ConvertToBGR(object): """ Converts a PIL image from RGB to BGR """ def __init__(self): pass def __call__(self, img): r, g, b = img.split() img = Image.merge("RGB", (b, g, r)) return img def __repr__(self): return "{}()".format(self.__class__.__name__) class Multiplier(object): def __init__(self, multiple): self.multiple = multiple def __call__(self, img): return img*self.multiple def __repr__(self): return "{}(multiple={})".format(self.__class__.__name__, self.multiple)

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import sys grid = {} sensitivity = [] sensors = [] beacons = [] for l in sys.stdin: l = l.strip().split(' ') sx, sy, bx, by = int(l[2][2:-1]), int(l[3][2:-1]), int(l[8][2:-1]), int(l[9][2:]) grid[(sx,sy)] = 'S' grid[(bx,by)] = 'B' dx,dy = abs(sx-bx), abs(sy-by) md = dx+dy sensitivity.append((sx,sy,md)) sensors.append((sx,sy)) if (bx,by) not in beacons: beacons.append((bx,by)) minx = min([i[0]-i[2] for i in sensitivity])-1 maxx = max([i[0]+i[2] for i in sensitivity])+1 for row in range(4000000): intervals = [] for s in sensitivity: d = abs(s[1] - row) if d > s[2]: continue w = s[2] - d b,e = s[0] - abs(w), s[0] + abs(w) if e < b: b,e = e,b intervals.append((b,e)) ints = sorted(intervals) nints = [ints[0]] for i in range(1, len(ints)): if ints[i][0] <= nints[-1][1]+1: if ints[i][1] <= nints[-1][1]: pass # fully included else: nints[-1] = (nints[-1][0], ints[i][1]) else: nints.append(ints[i]) if len(nints) > 1: print(nints, nints[0][1] + 1, row) print(4000000 * (nints[0][1]+1) + row) break

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# -*- coding: utf-8 -*- """Extensions module. Each extension is initialized in the app factory located in app.py.""" from flask_debugtoolbar import DebugToolbarExtension from flask_migrate import Migrate from raven.contrib.flask import Sentry from flask_sqlalchemy import SQLAlchemy from flask_wtf.csrf import CsrfProtect csrf_protect = CsrfProtect() db = SQLAlchemy() migrate = Migrate() debug_toolbar = DebugToolbarExtension() sentry = Sentry()

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import openerp.addons.decimal_precision as dp from openerp.tools.translate import _ from openerp.osv import fields, osv import urllib import re class competition_url(osv.osv): _name = 'competition.url' _description = 'URL for competition' _table = 'competition_url' _rec_name = 'url_competition' _columns = { 'url_competition': fields.char('Url ', size=150), 'regex': fields.char('Expression', size=300), } competition_url()

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dhecar@gmail.com

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import logging from .kitchen_eval import do_kitchen_evaluation def kitchen_evaluation(dataset, predictions, output_folder, box_only, **_): logger = logging.getLogger("maskrcnn_benchmark.inference") if box_only: logger.warning("kitchen evaluation doesn't support box_only, ignored.") logger.info("performing kitchen evaluation, ignored iou_types.") return do_kitchen_evaluation( dataset=dataset, predictions=predictions, output_folder=output_folder, logger=logger, )

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#!/usr/bin/python import os,sys,re from jobs.job import pastry from inputArgs.inputArgs import inpHand from utilities.small_utilities import Bye,junkName from utilities.codedir import codedir from seq.blastManager import blastRun from seq.fastaManager import importFastaEntry from seq.msa import gen_msa from seq.letters import one2three #create frequency file def createFreqFile(seq,msa): ''' seq: query sequence msa: multiple sequence alignment in a list, in the style of 3590 and e10. msa does not contain the query sequence, and each template sequence is a list item ''' aas='ARNDCQEGHILKMFPSTWYV' #amino acid order to output, assumed by jnet freq=[] #freq[i][j] 0<i<len(seq), 0<j<19 N=len(seq) for i in range(N): freq.append([0]*20) #initialize for i in range(N): #add amino acids of query sequence to the frequency table m=aas.find(seq[i]) #return position in aas corresponding to amino acid seq[i] if m<0:continue #seq[i] character not found in aas (like "X" or "-") freq[i][m]+=1 for seq2 in msa: #do same for sequences in the alignment for i in range(N): m=aas.find(seq2[i]) #return position in aas corresponding to amino acid seq[i] if m<0:continue #seq[i] character not found in aas freq[i][m]+=1 blastffreq=junkName()+'.jnetfreq' out=open(blastffreq,'w') for i in range(N): line='' ; m=0 for j in range(20):m+=freq[i][j] #total number of counts for amino acid at position "i" for j in range(20): freq[i][j]=round( (10.0*freq[i][j])/m ) #rounded to nearest integer line+='%3d'%(freq[i][j]) out.write(line+'\n') #write amino acid frequencies for amino acid at position "i" out.close() return blastffreq ######################################################### # SCRIPT EXECUTION STARTS HERE ######################################################### inpHand('Usage: inprosp.py [options]', ' -a _RA_fastaf sequence file in fasta format', ' -b _A_blasttarf tarred blast output (contains xxxxx.blast,xxxxx.pssm). If not provided, jnet.py will do a psiblast run', ' -c _A_outf output file name (def: ./seq.dat)', ).parse(locals(),sys.argv) currd=os.getcwd() #current directory if not outf: outf=currd+'/seq.dat' #output file workd=currd+'/'+junkName() ;os.system('/bin/mkdir -p '+workd) ; os.chdir(workd) #temp directory header,seq=importFastaEntry(open(fastaf,'r')) pastry('/bin/cp '+fastaf+' .') ;fastaf=os.path.basename(fastaf) #Retrieve/create psiblast outputs if blasttarf:#we passed a *.tar file containing psiblast report and pssm file blastOuts={'outf':'', 'blast':'', 'chk':'', 'fasta':fastaf, 'pssm':''} os.system('tar xf '+blasttarf) blastOuts['blast']=os.popen('ls -1 *.blast').readline().strip() #get name of blast report blastOuts['pssm']=os.popen('ls -1 *pssm.').readline().strip() #get name of pssm file else: blastOuts=blastRun(fastaf) #run blast with default options #create multiple sequence alignment projected to the query sequence (3590 or e10 style) msa=gen_msa(seq,header,Eco=0.0001,maxId=0.85,minId=0.10,red=0.75,blastOuts=blastOuts)['alignments'] #find frequency table from msa, and output to "freq" file. I did this #function because PSIBLAST has evolved and the perl script "getfreq" #provided in the jnet distro does not work. I could use newer script #"parse_psi -freq" but it requires a psiblast report obtained with #blastpgp -m 6, instead of blastpgp -m 0. I don't want to run PSIBLAST #twice and running with -m 6 gives some humongously-sized reports blastffreq=createFreqFile(seq,msa) #remove too short sequences, thenk keep only first M sequences msa2=[] ; N=len(seq) ; Lhalf=N/2 for seqgapped in msa: sequngapped=seqgapped.replace('-','') if len(sequngapped) > Lhalf: msa2.append(sequngapped) M=int(1000*200/N) #maximum number of sequences to use msa=msa2[0:M] #reclaim memory space by liberating the gapped sequences list #output alignment as suitable use for clustalw rootname=junkName() fastasf=rootname+'.aln' ; fpt=open(fastasf,'w') fpt.write('>00000\n'+seq+'\n') for i in range(len(msa)): fpt.write('>'+'%05d\n'%(i+1)+msa[i]+'\n') fpt.close() #run clustalw os.system('clustalw -OUTORDER=INPUT -INFILE='+fastasf+' -OUTPUT=GCG >/dev/null') msf=rootname+'.msf' if not os.path.exists(msf): Bye('ERROR: not msf file generated in jnet.py') #run perl scripts to create the various inputs required by jnet pastry('/bin/cp -r '+codedir+'/bin/jnet/perl .') pastry('/bin/cp -r '+codedir+'/bin/jnet/bin .') os.system('./perl/msf2jnet '+msf) ; msffa=msf+'.fa' #multiple sequence alignment os.system('./perl/gethmm '+msf+' >/dev/null') ; msfhm=msf+'.hmmprof' #hidden-Markov model pssmf=blastOuts['pssm'] os.system('./perl/getpssm '+pssmf+' > '+pssmf+'.jnetpssm') ; pssmf=pssmf+'.jnetpssm' #run jnet and parse to generate seq.dat jnetout=junkName() os.system('./bin/jnet -p '+msffa+' '+msfhm+' '+pssmf+' '+blastffreq+' > '+jnetout) pattern=re.compile(':\s(\S+)\n') ; final='' ; conf='' ss2nn={'-':1, 'H':2, 'E':4} for line in os.popen('grep -P "\sFINAL\t" '+jnetout).readlines(): final+=pattern.search(line).group(1) for line in os.popen('grep -P "\sCONF\t" '+jnetout).readlines(): conf+=pattern.search(line).group(1) out=open(outf,'w') for i in range(N): out.write( '%5d%6s%5d%5d\n'%( i+1, one2three[seq[i]], ss2nn[final[i]], int(conf[i]) ) ) out.close() #clean-up working directory os.chdir(currd) #os.system('/bin/rm -rf '+workd) sys.exit(0)

[ "borreguero@gmail.com" ]

borreguero@gmail.com

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/bin/mnu.py

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msyriac/peakaboo

aa3ac1396c2af0862f9c5891a20a08dddd97068b

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import numpy as np from peakaboo import liuSims as ls import orphics.tools.io as io import os,sys import orphics.analysis.flatMaps as fmaps from mpi4py import MPI from orphics.analysis.pipeline import mpi_distribute, MPIStats import orphics.analysis.flatMaps as fmaps from enlib import enmap, resample # Get MPI comm comm = MPI.COMM_WORLD rank = comm.Get_rank() numcores = comm.Get_size() out_dir = os.environ['WWW']+"peakaboo/" #file_root = "/gpfs01/astro/workarea/msyriac/data/sims/jia/output/jia_recon_" file_root = lambda mass,ftype,x,ext: "/gpfs01/astro/workarea/msyriac/data/sims/jia/output/"+mass+"_"+ftype+"_experiment_simple_"+str(x).zfill(9)+"."+ext Ntot = 500 num_each,each_tasks = mpi_distribute(Ntot,numcores) mpibox = MPIStats(comm,num_each,tag_start=333) my_tasks = each_tasks[rank] LCmassless = ls.LiuConvergence(root_dir="/gpfs01/astro/workarea/msyriac/data/sims/jia/cmb/massless/",zstr="1100.00") LCmassive = ls.LiuConvergence(root_dir="/gpfs01/astro/workarea/msyriac/data/sims/jia/cmb/massive/",zstr="1100.00") lbin_edges = np.arange(200,3000,100) for k,i in enumerate(my_tasks): #massive = enmap.read_map(file_root+"massive_"+str(i).zfill(9)+".fits") #massless = enmap.read_map(file_root+"massless_"+str(i).zfill(9)+".fits") massive = enmap.read_map(file_root("massive","kappa_recon",i,"fits")) massless = enmap.read_map(file_root("massless","kappa_recon",i,"fits")) if k==0: qpower = fmaps.QuickPower(massive.modlmap(),lbin_edges) massive_input = LCmassive.get_kappa(i+1) massive_input = enmap.ndmap(resample.resample_fft(massive_input,massive.shape),massive.wcs) massless_input = LCmassless.get_kappa(i+1) massless_input = enmap.ndmap(resample.resample_fft(massless_input,massless.shape),massless.wcs) print massive.shape print massive_input.shape cents, pauto_massive = qpower.calc(massive) cents, pauto_massless = qpower.calc(massless) cents, pcross_massive = qpower.calc(massive,massive_input) cents, pcross_massless = qpower.calc(massless,massless_input) cents, pauto_massive_input = qpower.calc(massive_input) cents, pauto_massless_input = qpower.calc(massless_input) lcents,massive_rkk = np.loadtxt(file_root("massive","auto_n0_subbed",i,"fits"),unpack=True) lcents,massless_rkk = np.loadtxt(file_root("massless","auto_n0_subbed",i,"fits"),unpack=True) mpibox.add_to_stats("massiveAutoN0",massive_rkk) mpibox.add_to_stats("masslessAutoN0",massless_rkk) mpibox.add_to_stats("massiveAuto",pauto_massive) mpibox.add_to_stats("masslessAuto",pauto_massless) mpibox.add_to_stats("masslessCross",pcross_massless) mpibox.add_to_stats("massiveCross",pcross_massive) mpibox.add_to_stats("massiveInput",pauto_massive_input) mpibox.add_to_stats("masslessInput",pauto_massless_input) print rank,i mpibox.get_stats() if rank==0: rm = mpibox.stats["massiveAutoN0"] rm0 = mpibox.stats["masslessAutoN0"] mauto = mpibox.stats["massiveAuto"] m0auto = mpibox.stats["masslessAuto"] m0cross = mpibox.stats["masslessCross"] mcross = mpibox.stats["massiveCross"] mauto_input = mpibox.stats["massiveInput"] m0auto_input = mpibox.stats["masslessInput"] def camb_pred(nu): import orphics.tools.cmb as cmb # camb_cl_prediction cambRoot = "data/jia_"+nu theory = cmb.loadTheorySpectraFromCAMB(cambRoot,unlensedEqualsLensed=False,useTotal=False,TCMB = 2.7255e6,lpad=9000) ellrange = np.arange(2,3000,1) clkk_camb = theory.gCl("kk",ellrange) return ellrange,clkk_camb ellrange,clkk_camb0 = camb_pred("massless") pl = io.Plotter(scaleY='log',labelX="$\\ell$",labelY="$C_{\ell}$") pl.addErr(lcents,rm0['mean'],yerr=rm0['errmean'],marker="o") pl.addErr(cents,m0cross['mean'],yerr=m0cross['errmean'],marker="^") pl.add(cents,m0auto_input['mean'],marker="x",ls="none") pl.add(ellrange,clkk_camb0,label="cl camb",color="k") pl._ax.set_ylim(1.e-9,1.e-6) pl.done(out_dir+"massless.png") ellrange,clkk_camb = camb_pred("massive") pl = io.Plotter(scaleY='log',labelX="$\\ell$",labelY="$C_{\ell}$") pl.addErr(lcents,rm['mean'],yerr=rm['errmean'],marker="o") pl.addErr(cents,mcross['mean'],yerr=mcross['errmean'],marker="^") pl.add(cents,mauto_input['mean'],marker="x",ls="none") pl.add(ellrange,clkk_camb,label="cl camb",color="k") pl._ax.set_ylim(1.e-9,1.e-6) pl.done(out_dir+"massive.png") pdiff = (clkk_camb-clkk_camb0)*100./clkk_camb0 pl = io.Plotter(labelX="$\\ell$",labelY="$100\\Delta C_{\ell}/C_{\ell}$") pl.add(lcents,(rm['mean']-rm0['mean'])*100./rm0['mean'],marker="o",ls="none") pl.add(cents,(mauto_input['mean']-m0auto_input['mean'])*100./m0auto_input['mean'],marker="x",ls="none") pl.add(ellrange,pdiff,label="cl camb",color="k") pl.hline() #pl._ax.set_ylim(-2,1) pl._ax.set_xlim(500,3000) pl.done(out_dir+"mnudiff.png")

[ "mathewsyriac@gmail.com" ]

mathewsyriac@gmail.com

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denisorehovsky/linkanywhere

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import uuid from django.db import models from linkanywhere.apps.base.behaviors import Published class TestModel(models.Model): """ Base for test models that sets app_label, so they play nicely. """ id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False) class Meta: app_label = 'tests' abstract = True class BasicModel(TestModel): text = models.CharField(max_length=100) class LikeModel(TestModel): text = models.CharField(max_length=100) class PublishedModel(Published, TestModel): pass

[ "denis.orehovsky@gmail.com" ]

denis.orehovsky@gmail.com

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/SConsTools/tags/V00-00-16/src/standardExternalPackage.py

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[]

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connectthefuture/psdmrepo

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refs/heads/master

2021-01-13T03:26:35.494026

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#=============================================================================== # # SConscript fuction for standard external package # # $Id$ # #=============================================================================== import os import sys from os.path import join as pjoin from fnmatch import fnmatch from SCons.Defaults import * from SCons.Script import * from SConsTools.trace import * from SConsTools.dependencies import * # # This is an interface package for the external package. We wan to make # symlinks to the include files, libs and binaries # # build package name from prefix and directory def _absdir ( prefix, dir ): if not dir : return None if prefix and not os.path.isabs( dir ) : dir = pjoin( prefix, dir ) if not os.path.isdir( dir ) : dir = None return dir def _glob ( dir, patterns ): if patterns is None : return os.listdir(dir) # patterns could be space-separated string of patterns if isinstance(patterns,(str,unicode)) : patterns = patterns.split() if not patterns : return [] result = [] for l in os.listdir(dir) : for p in patterns : if fnmatch ( l, p ) : result.append(l) return result # # Define all builders for the external package # def standardExternalPackage ( package, **kw ) : """ Understands following keywords (all are optional): PREFIX - top directory of the external package INCDIR - include directory, absolute or relative to PREFIX PYDIR - Python src directory, absolute or relative to PREFIX PYDIRSEP - if present and evaluates to True installs python code to a separate directory arch/$LUSI_ARCH/python/<package> LIBDIR - libraries directory, absolute or relative to PREFIX LINKLIBS - library names to link, or all libs if not present BINDIR - binaries directory, absolute or relative to PREFIX LINKBINS - binary names to link, or all libs if not present PKGLIBS - names of libraries that have to be linked for this package DEPS - names of other packages that we depend upon """ pkg = os.path.basename(os.getcwd()) trace ( "Standard SConscript for external package `"+package+"'", "SConscript", 1 ) env = DefaultEnvironment() prefix = kw.get('PREFIX',None) trace ( "prefix: %s" % prefix, "standardExternalPackage", 3 ) # link include directory inc_dir = _absdir ( prefix, kw.get('INCDIR',None) ) if inc_dir : trace ( "include_dir: %s" % inc_dir, "standardExternalPackage", 5 ) # make 'geninc' directory if not there yet archinc = Dir(env.subst("$ARCHINCDIR")) archinc = str(archinc) if not os.path.isdir( archinc ) : os.makedirs( archinc ) target = pjoin(archinc,package) if not os.path.lexists(target) : os.symlink ( inc_dir, target ) # link python directory py_dir = _absdir ( prefix, kw.get('PYDIR',None) ) if py_dir : trace ( "py_dir: %s" % py_dir, "standardExternalPackage", 5 ) if kw.get('PYDIRSEP',False) : # make a link to the whole dir targ = env.Symlink ( Dir(pjoin(env.subst("$PYDIR"),package)), Dir(py_dir) ) env['ALL_TARGETS']['LIBS'].extend ( targ ) else : # make links for every file in the directory files = os.listdir(py_dir) for f in files : loc = pjoin(py_dir,f) if not os.path.isdir(loc) : targ = env.Symlink ( pjoin(env.subst("$PYDIR"),f), loc ) env['ALL_TARGETS']['LIBS'].extend( targ ) # link all libraries lib_dir = _absdir ( prefix, kw.get('LIBDIR',None) ) if lib_dir : trace ( "lib_dir: %s" % lib_dir, "standardExternalPackage", 5 ) # make a list of libs to link libraries = kw.get('LINKLIBS',None) trace ( "libraries: %s" % libraries, "standardExternalPackage", 5 ) libraries = _glob ( lib_dir, libraries ) trace ( "libraries: %s" % libraries, "standardExternalPackage", 5 ) for f in libraries : loc = pjoin(lib_dir,f) if os.path.isfile(loc) : #targ = env.Install( "$LIBDIR", loc ) targ = env.Symlink ( pjoin(env.subst("$LIBDIR"),f), loc ) trace ( "linklib: %s -> %s" % (str(targ[0]),loc), "standardExternalPackage", 5 ) env['ALL_TARGETS']['LIBS'].extend ( targ ) # link all executables bin_dir = _absdir ( prefix, kw.get('BINDIR',None) ) if bin_dir : trace ( "bin_dir: %s" % bin_dir, "standardExternalPackage", 5 ) # make list of binaries to link binaries = kw.get('LINKBINS',None) binaries = _glob ( bin_dir, binaries ) for f in binaries : loc = pjoin(bin_dir,f) if os.path.isfile(loc) : targ = env.Symlink ( pjoin(env.subst("$BINDIR"),f), loc ) env['ALL_TARGETS']['BINS'].extend ( targ ) # add my libs to a package tree setPkgLibs ( env, package, kw.get('PKGLIBS',[]) ) # add packages that I depend on setPkgDeps ( env, package, kw.get('DEPS',[]) )

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salnikov@b967ad99-d558-0410-b138-e0f6c56caec7

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/tfbert/optimization/create_optimizer.py

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[]

no_license

HaierAI/tfbert

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refs/heads/master

2023-07-09T05:25:19.015760

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# -*- coding:utf-8 -*- # @FileName :create_optimizer.py # @Time :2021/1/31 19:58 # @Author :huanghui import tensorflow.compat.v1 as tf from .adamw import AdamWeightDecayOptimizer from .lamb import LAMBOptimizer from .schedule import lr_schedule def create_optimizer( learning_rate, num_train_steps=None, num_warmup_steps=None, optimizer_type='adamw', epsilon=1e-6, momentum=0., weight_decay=0.01, decay_method='poly', mixed_precision=False, init_loss_scale=2 ** 32 ): if decay_method is not None and num_train_steps is not None and num_warmup_steps is not None: num_train_steps = int(num_train_steps) num_warmup_steps = int(num_warmup_steps) learning_rate = lr_schedule( learning_rate, num_train_steps, num_warmup_steps, decay_method=decay_method, optimizer_type=optimizer_type ) if optimizer_type == 'adamw': optimizer = AdamWeightDecayOptimizer( learning_rate=learning_rate, weight_decay_rate=weight_decay, beta_1=0.9, beta_2=0.999, epsilon=epsilon, exclude_from_weight_decay=["LayerNorm", "layer_norm", "bias"] ) elif optimizer_type == 'lamb': optimizer = LAMBOptimizer( learning_rate, weight_decay_rate=weight_decay, beta_1=0.9, beta_2=0.999, epsilon=epsilon, exclude_from_weight_decay=["LayerNorm", "layer_norm", "bias"] ) elif optimizer_type == 'adam': optimizer = tf.train.AdamOptimizer( learning_rate=learning_rate, beta1=0.9, beta2=0.999, epsilon=epsilon) elif optimizer_type == 'sgd': optimizer = tf.train.GradientDescentOptimizer( learning_rate=learning_rate ) elif optimizer_type == 'adadelta': optimizer = tf.train.AdadeltaOptimizer( learning_rate=learning_rate, rho=0.95, epsilon=epsilon, ) elif optimizer_type == 'adagrad': optimizer = tf.train.AdagradOptimizer( learning_rate=learning_rate, initial_accumulator_value=0.1 ) elif optimizer_type == 'rmsp': optimizer = tf.train.RMSPropOptimizer( learning_rate=learning_rate, decay=0.9, momentum=momentum, epsilon=epsilon, ) else: raise ValueError('Unsupported optimizer option: %s' % optimizer_type) if mixed_precision: loss_scaler = tf.train.experimental.DynamicLossScale( initial_loss_scale=init_loss_scale, increment_period=1000, multiplier=2.0) optimizer = tf.train.experimental.enable_mixed_precision_graph_rewrite(optimizer, loss_scaler) loss_scale_value = tf.identity(loss_scaler(), name="loss_scale") return optimizer def create_train_op( optimizer, grads_and_vars, max_grad=1.0, mixed_precision=False, gradient_accumulation_steps=1): global_step = tf.train.get_or_create_global_step() if gradient_accumulation_steps > 1: local_step = tf.get_variable(name="local_step", shape=[], dtype=tf.int32, trainable=False, initializer=tf.zeros_initializer) batch_finite = tf.get_variable(name="batch_finite", shape=[], dtype=tf.bool, trainable=False, initializer=tf.ones_initializer) accum_vars = [tf.get_variable( name=tvar.name.split(":")[0] + "/accum", shape=tvar.shape.as_list(), dtype=tf.float32, trainable=False, initializer=tf.zeros_initializer()) for tvar in tf.trainable_variables()] reset_step = tf.cast(tf.math.equal(local_step % gradient_accumulation_steps, 0), dtype=tf.bool) local_step = tf.cond(reset_step, lambda: local_step.assign(tf.ones_like(local_step)), lambda: local_step.assign_add(1)) grads_and_vars_and_accums = [(gv[0], gv[1], accum_vars[i]) for i, gv in enumerate(grads_and_vars) if gv[0] is not None] grads, tvars, accum_vars = list(zip(*grads_and_vars_and_accums)) all_are_finite = tf.reduce_all( [tf.reduce_all(tf.is_finite(g)) for g in grads]) if mixed_precision else tf.constant( True, dtype=tf.bool) batch_finite = tf.cond(reset_step, lambda: batch_finite.assign( tf.math.logical_and(tf.constant(True, dtype=tf.bool), all_are_finite)), lambda: batch_finite.assign(tf.math.logical_and(batch_finite, all_are_finite))) # This is how the model was pre-trained. # ensure global norm is a finite number # to prevent clip_by_global_norm from having a hizzy fit. (clipped_grads, _) = tf.clip_by_global_norm( grads, clip_norm=max_grad) accum_vars = tf.cond(reset_step, lambda: [accum_vars[i].assign(grad) for i, grad in enumerate(clipped_grads)], lambda: [accum_vars[i].assign_add(grad) for i, grad in enumerate(clipped_grads)]) def update(accum_vars): return optimizer.apply_gradients(list(zip(accum_vars, tvars))) update_step = tf.identity( tf.cast(tf.math.equal(local_step % gradient_accumulation_steps, 0), dtype=tf.bool), name="update_step") update_op = tf.cond(update_step, lambda: update(accum_vars), lambda: tf.no_op()) new_global_step = tf.cond(tf.math.logical_and(update_step, batch_finite), lambda: global_step + 1, lambda: global_step) new_global_step = tf.identity(new_global_step, name='step_update') train_op = tf.group(update_op, [global_step.assign(new_global_step)]) else: grads_and_vars = [(g, v) for g, v in grads_and_vars if g is not None] grads, tvars = list(zip(*grads_and_vars)) all_are_finite = tf.reduce_all( [tf.reduce_all(tf.is_finite(g)) for g in grads]) if mixed_precision else tf.constant(True, dtype=tf.bool) # This is how the model was pre-trained. # ensure global norm is a finite number # to prevent clip_by_global_norm from having a hizzy fit. (clipped_grads, _) = tf.clip_by_global_norm( grads, clip_norm=max_grad) # 这里不要传入global step，adam内部没有对global step累加 # 而原本adam等tf内置优化器会累加，这样就会造成global step重复增加 train_op = optimizer.apply_gradients( list(zip(clipped_grads, tvars))) new_global_step = tf.cond(all_are_finite, lambda: global_step + 1, lambda: global_step) new_global_step = tf.identity(new_global_step, name='step_update') train_op = tf.group(train_op, [global_step.assign(new_global_step)]) return train_op

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m13021933043@163.com

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2023-08-30T08:59:16.006567

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""" # Sample code to perform I/O: name = input() # Reading input from STDIN print('Hi, %s.' % name) # Writing output to STDOUT # Warning: Printing unwanted or ill-formatted data to output will cause the test cases to fail """ # Write your code here t = int(input()) for _ in range(t): s, k = input().strip().split() k = int(k) idxes = list(range(len(s))) idxes.sort(key=lambda i: s[i], reverse=True) idx = idxes[k - 1] word = '' for _ in range(len(s)): word += s[idx] idx = idxes[idx] word = word[-1] + word[:-1] print(word)

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hbinhct@gmail.com

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garygriswold/SafeBible

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2d378e84cbd6b81641bcccd6ba66699d24208548

refs/heads/master

2022-02-25T19:41:10.367183

2019-08-22T03:35:02

34,028,119

0

MIT

2019-10-30T07:11:44

2015-04-16T01:40:19

TSQL

UTF-8

Python

false

3,942

py

# # This program generates SQL statements to create and populate the Bible table # This was previously called the Version table # import io import os import json out = io.open("sql/bible.sql", mode="w", encoding="utf-8") out.write(u"DROP TABLE IF EXISTS Bible;\n") out.write(u"CREATE TABLE Bible (\n") out.write(u" bibleId TEXT NOT NULL PRIMARY KEY,\n") # info.json filename[5:18] out.write(u" code TEXT NOT NULL,\n") # info.json abbr out.write(u" abbr TEXT NOT NULL,\n") # info.json abbr char 4-6 out.write(u" iso3 TEXT NOT NULL REFERENCES Language(iso3),\n") # info.json lang out.write(u" name TEXT NOT NULL,\n") # info.json name out.write(u" englishName TEXT NULL,\n") # info.json nameEnglish out.write(u" localizedName TEXT NULL,\n") # Google Translate API out.write(u" direction TEXT CHECK (direction IN('ltr','rtl')) default('ltr'),\n") # info.json dir out.write(u" script TEXT NULL,\n") # info.json script out.write(u" country TEXT NULL REFERENCES Country(code),\n") # info.json countryCode out.write(u" s3Bucket TEXT NOT NULL,\n") # this program out.write(u" s3KeyPrefix TEXT NOT NULL,\n") # info.json filename out.write(u" s3Key TEXT NULL,\n") # %I_%O_%B_%C.html # I cannot find program, which generated this template: s3KeyTemplate.py out.write(u" s3CredentialId TEXT NULL,\n") # TBD out.write(u" otDamId TEXT NULL,\n") # BibleUpdateDamId.py out.write(u" ntDamId TEXT NULL,\n") # BibleUpdateDamId.py out.write(u" stylesheet TEXT NOT NULL);\n") # constant stylesheet prefix2 = "INSERT INTO Bible (bibleId, code, abbr, iso3, name, englishName, direction, script, country, s3Bucket, s3KeyPrefix, s3Key, stylesheet) VALUES" stylesheet = "BibleApp2.css" # read and process all info.json files source = "/Users/garygriswold/ShortSands/DBL/FCBH_info/" filelist = sorted(os.listdir(source)) for filename in filelist: #if len(filename) != 28: #print(len(filename), filename) #else: if len(filename) == 28: #print(filename) input2 = io.open(source + filename, mode="r", encoding="utf-8") data = input2.read() bible = json.loads(data) bibleId = filename[5:18] # check type to see if == bible bType = bible['type'] if bType != 'bible': print "?? Type = ", bType # check abbr to see if different from bibleId code = bible['abbr'] # remove lang code from abbr abbr = code[3:] # check that lang == first 3 letters of bibleId iso3 = bible['lang'] if iso3.upper() != code[0:3]: print "?? abbr=", code, " iso3=", iso3 iso3 = iso3.lower() name = bible['name'].replace("'", "''") englishName = bible['nameEnglish'].replace("'", "''") direction = bible['dir'] # convert script to iso 15924 code script = bible.get('script') validScripts = [None, 'Arab', 'Beng', 'Bugi', 'Cans', 'Cyrl', 'Deva', 'Ethi', 'Geor', 'Hans', 'Hant', 'Java', 'Kore', 'Latn', 'Orya', 'Syrc', 'Taml', 'Thai' ] #if validScripts.index(script) < 0: if script in validScripts: a = 1 else: if script == 'Latin': script = 'Latn' elif script == 'Cyrillic': script = 'Cyrl' elif script == 'Arabic': script = 'Arab' elif script == 'Devangari': script = 'Deva' elif script == 'Devanagari (Nagari)': script = 'Deva' elif script == 'CJK': script = None else: print "ERROR: unknown script code", script, filename script = "'" + script + "'" if script != None else 'null' country = bible.get('countryCode') country = "'" + country.upper() + "'" if len(country) > 0 else 'null' bucket = "dbp-prod" keyPrefix = filename.replace("info.json", "").replace(":", "/") s3Key = '%I_%O_%B_%C.html' out.write("%s ('%s', '%s', '%s', '%s', '%s', '%s', '%s', %s, %s, '%s', '%s', '%s', '%s');\n" % (prefix2, bibleId, code, abbr, iso3, name, englishName, direction, script, country, bucket, keyPrefix, s3Key, stylesheet)) out.close()

[ "gary@shortsands.com" ]

gary@shortsands.com

1f33447947159a11ecf117ebfd09d4a0232c26ed

890a6921b9dbc3d849ee51366c76a791761d35d2

/.qt_for_python/uic/PlacefieldVisualSelectionWidgetBase.py

e5bfd84f65b40625dd5b625a786686f1a3fc1927

[]

no_license

CommanderPho/Spike3D

87e1ea17a76080e18e835e9d015e7fe7bb3426e4

63e5e78c3bcb28f3dbab02d6354e6eb83cbccc2a

refs/heads/master

2023-08-17T10:40:44.389682

2023-08-16T10:57:12

413,545,455

2

0

null

2022-10-22T05:54:57

2021-10-04T18:48:06

Jupyter Notebook

UTF-8

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4,107

py

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'c:\Users\pho\repos\pyPhoPlaceCellAnalysis\src\pyphoplacecellanalysis\GUI\Qt\PlacefieldVisualSelectionControls\PlacefieldVisualSelectionWidgetBase.ui' # # Created by: PyQt5 UI code generator 5.15.4 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you know what you are doing. from PyQt5 import QtCore, QtGui, QtWidgets class Ui_rootForm(object): def setupUi(self, rootForm): rootForm.setObjectName("rootForm") rootForm.resize(94, 126) sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Fixed) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(rootForm.sizePolicy().hasHeightForWidth()) rootForm.setSizePolicy(sizePolicy) rootForm.setMinimumSize(QtCore.QSize(50, 0)) rootForm.setBaseSize(QtCore.QSize(50, 126)) rootForm.setStyleSheet("background-color: rgb(71, 58, 46);\n" "border-color: rgb(207, 207, 207);\n" "background-color: rgba(71, 65, 60, 180);\n" "color: rgb(244, 244, 244);\n" "border-color: rgb(0, 0, 0);") self.gridLayout = QtWidgets.QGridLayout(rootForm) self.gridLayout.setContentsMargins(0, 0, 0, 0) self.gridLayout.setSpacing(0) self.gridLayout.setObjectName("gridLayout") self.groupBox = QtWidgets.QGroupBox(rootForm) self.groupBox.setMinimumSize(QtCore.QSize(50, 0)) self.groupBox.setMaximumSize(QtCore.QSize(160, 160)) self.groupBox.setBaseSize(QtCore.QSize(50, 0)) self.groupBox.setAlignment(QtCore.Qt.AlignHCenter|QtCore.Qt.AlignTop) self.groupBox.setFlat(False) self.groupBox.setObjectName("groupBox") self.verticalLayout_2 = QtWidgets.QVBoxLayout(self.groupBox) self.verticalLayout_2.setContentsMargins(2, 0, 2, 4) self.verticalLayout_2.setSpacing(2) self.verticalLayout_2.setObjectName("verticalLayout_2") self.btnTitle = QtWidgets.QPushButton(self.groupBox) self.btnTitle.setObjectName("btnTitle") self.verticalLayout_2.addWidget(self.btnTitle) self.btnColorButton = ColorButton(self.groupBox) self.btnColorButton.setEnabled(False) self.btnColorButton.setMinimumSize(QtCore.QSize(24, 24)) self.btnColorButton.setText("") self.btnColorButton.setObjectName("btnColorButton") self.verticalLayout_2.addWidget(self.btnColorButton) self.chkbtnPlacefield = QtWidgets.QToolButton(self.groupBox) self.chkbtnPlacefield.setCheckable(True) self.chkbtnPlacefield.setChecked(False) self.chkbtnPlacefield.setPopupMode(QtWidgets.QToolButton.DelayedPopup) self.chkbtnPlacefield.setToolButtonStyle(QtCore.Qt.ToolButtonTextBesideIcon) self.chkbtnPlacefield.setObjectName("chkbtnPlacefield") self.verticalLayout_2.addWidget(self.chkbtnPlacefield) self.chkbtnSpikes = QtWidgets.QToolButton(self.groupBox) self.chkbtnSpikes.setCheckable(True) self.chkbtnSpikes.setChecked(False) self.chkbtnSpikes.setPopupMode(QtWidgets.QToolButton.DelayedPopup) self.chkbtnSpikes.setToolButtonStyle(QtCore.Qt.ToolButtonTextBesideIcon) self.chkbtnSpikes.setObjectName("chkbtnSpikes") self.verticalLayout_2.addWidget(self.chkbtnSpikes) self.gridLayout.addWidget(self.groupBox, 0, 0, 1, 1) self.retranslateUi(rootForm) QtCore.QMetaObject.connectSlotsByName(rootForm) def retranslateUi(self, rootForm): _translate = QtCore.QCoreApplication.translate rootForm.setWindowTitle(_translate("rootForm", "Pf")) self.groupBox.setTitle(_translate("rootForm", "pf[i]")) self.btnTitle.setText(_translate("rootForm", "pf[i]")) self.chkbtnPlacefield.setText(_translate("rootForm", "pf")) self.chkbtnSpikes.setText(_translate("rootForm", "spikes")) from pyphoplacecellanalysis.External.pyqtgraph.widgets.ColorButton import ColorButton

[ "CommanderPho@users.noreply.github.com" ]

CommanderPho@users.noreply.github.com

db8551c3b00fdaa9cea83beff7f976a27482b764

0486b6ccf883e9cd7a24bbd89b5420e7de2172b9

/DRF Study Material/Django REST Code/gs23/manage.py

0fd63ec5bb04d9d85aeb9039d1fb86e9be16bd10

[]

no_license

ajitexl/restfrmaework

2980203d7faa6c8364288283758d32c8f2a37817

9ab203748e623516365d9924dcc68acc786a66e1

refs/heads/main

2023-02-03T08:52:00.672047

2020-12-10T09:50:51

320,222,997

0

null

UTF-8

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682

py

#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): """Run administrative tasks.""" os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'gs23.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv) if __name__ == '__main__': main()

[ "you@example.com" ]

you@example.com

a9d0bc7546f7ca3723a17a3f5fd7ba086d51f28c

21bf726bf895569a41a8b8d2db6772dc51f46cfd

/OTHERS/Interviews/Akuna.py

abba9d6a6b4e54cda0048899107ec10a4fa00cc0

[]

no_license

jeffsnguyen/Python-1

dd924d25337cd6ac21e321d7b2c5ac17c065d94b

463d32a61a760d076656c73c9f8c9fadf262438d

refs/heads/master

2022-03-23T09:50:04.476094

2019-12-23T12:32:49

null

0

null

UTF-8

Python

false

1,844

py

def if_none_trivial(x): if x==0: return 0 else: return 1 def violet_search_icecream_shop(stock, max_capacity,demands,n_days,overnight_fee,price,deliver_fee,total_expense=[],expense=0): delivery_min = max(0,demands[0]-stock) delivery_max = max(0,sum(demands) - stock) for delivery in range(delivery_min,delivery_max+1,1): expense_today = expense + if_none_trivial(delivery)*deliver_fee + delivery*price expense_today = expense_today + max(0,(stock+delivery-max_capacity))*overnight_fee stock_next = stock+delivery-demands[0] print("***********************") print("expense until yesterday: ",expense) print("expense until today: ", expense_today) print(n_days, "remains") if n_days>1: violet_search_icecream_shop(stock_next, max_capacity,demands[1:],n_days-1,overnight_fee,price,deliver_fee,total_expense,expense_today) else: print("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%") print("total expense",expense_today) total_expense.append(expense_today) # yield(expense_today) total_expense=[] violet_search_icecream_shop(0,10,[1,2,1,4],4,1,3,4,total_expense=total_expense) print(total_expense) print("the optimum cost:", min(total_expense)) from collections import defaultdict def code_preprocessing(delivery_code): code_dic = defaultdict(list) i = 0 for code in delivery_code: crude = code.split('-',1) code_dic[crude[0]].append((crude[1],i)) i = i+1 print(code_dic) code_dict = code_preprocessing(["123-2","2345-1","123-3","123-5","2345-5"]) def swarm_delivery(code_dict): bee = [] for key,value in code_dict: bee.append(value) print(bee) swarm_delivery(code_dict)

[ "jerryxyx@163.com" ]

jerryxyx@163.com

5b771ee4fa02ac609d1a9cff17e724f9d74cdcdc

255e19ddc1bcde0d3d4fe70e01cec9bb724979c9

/all-gists/5041434/snippet.py

a978469c85746091bf61c1a14c4ddfde95ab6244

[ "MIT" ]

permissive

gistable/gistable

26c1e909928ec463026811f69b61619b62f14721

665d39a2bd82543d5196555f0801ef8fd4a3ee48

refs/heads/master

2023-02-17T21:33:55.558398

2023-02-11T18:20:10

119,861,038

76

19

null

2020-07-26T03:14:55

2018-02-01T16:19:24

Python

UTF-8

Python

false

1,470

py

import requests from bs4 import BeautifulSoup, NavigableString def get_review_text(block): """Get just the text of a review from it's DIV""" strings = [] for possible_text in block.children: if isinstance(possible_text, NavigableString): stripped_text = possible_text.strip() if len(stripped_text) > 0: strings.append(stripped_text) return "\n".join(strings) def get_review_texts(review_html): """Get all the reviews on a review page""" soup = BeautifulSoup(review_html) table = soup.find(id="productReviews").tr.td review_blocks = table.find_all("div", recursive=False) return [get_review_text(block) for block in review_blocks] def get_review_page_count(review_html): """Get the number of review pages""" soup = BeautifulSoup(review_html) try: return int(soup.find("span", class_="paging").find_all("a")[-2].text) except: return 1 def get_all_reviews(review_url): """Get all the reviews, given a review page URL""" # sanitize the url review_url = "/".join(review_url.split("/")[:-1]) first_review_page = requests.get(review_url).text review_page_count = get_review_page_count(first_review_page) reviews = [] for i in range(1, review_page_count + 1): url = review_url + "?pageNumber=%d" % i review_html = requests.get(url).text reviews.extend(get_review_texts(review_html)) return reviews

[ "gistshub@gmail.com" ]

gistshub@gmail.com

dac74fe07f41bad595f3daece43a0047c4795112

c105570f12f1d56087ffb831f5d34cd763d6c90b

/top/api/rest/HotelRoomImgDeleteRequest.py

55f04fe4e6cf46864d486cf6bd4e5cf9dc7d3abd

[]

no_license

wjianwei126/Alinone

01607423833d7736b2fd3c77e9e21f63c69b4e4c

80144d4657cb049d651c09647eb245405240f12f

refs/heads/master

2020-12-07T05:14:58.746777

2015-05-06T12:48:33

null

0

null

UTF-8

Python

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337

py

''' Created by auto_sdk on 2014-11-09 14:51:18 ''' from top.api.base import RestApi class HotelRoomImgDeleteRequest(RestApi): def __init__(self,domain='gw.api.taobao.com',port=80): RestApi.__init__(self,domain, port) self.gid = None self.position = None def getapiname(self): return 'taobao.hotel.room.img.delete'

[ "rapospectre@0163.com" ]

rapospectre@0163.com

38989ea3cc2d9323d7df74726b4cbe4770c237d1

1d0895269d1d93bab6a0b595c806418b1eeda735

/qiskit/providers/ibmq/api/rest/experiment.py

21cea49b8c27b3ce319c61a25cd6e4314e06b812

[ "Apache-2.0" ]

permissive

Qiskit/qiskit-ibmq-provider

3921bf5f77a9621013ada7ea5e18fa199470650c

590f68d9ddb42a45c4ac8a8626ea60da85575b21

refs/heads/master

2023-06-08T03:17:52.745052

2023-06-05T14:20:16

163,192,893

240

182

Apache-2.0

2023-06-05T14:20:18

2018-12-26T15:22:11

Python

UTF-8

Python

false

5,218

py

# This code is part of Qiskit. # # (C) Copyright IBM 2020. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative works of this code must retain this # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. """Experiment REST adapter.""" import logging from typing import Dict, Union from .base import RestAdapterBase from ..session import RetrySession logger = logging.getLogger(__name__) class Experiment(RestAdapterBase): """Rest adapter for experiment related endpoints.""" URL_MAP = { 'self': '', 'upload_plots': '/plots' } def __init__(self, session: RetrySession, experiment_uuid: str, url_prefix: str = '') -> None: """Experiment constructor. Args: session: Session to be used in the adaptor. experiment_uuid: UUID of the experiment. url_prefix: URL prefix. """ super().__init__(session, '{}/experiments/{}'.format(url_prefix, experiment_uuid)) def retrieve(self) -> str: """Retrieve the specific experiment. Returns: Experiment data. """ url = self.get_url('self') return self.session.get(url).text def update(self, experiment: str) -> Dict: """Update the experiment. Args: experiment: Experiment to update. Returns: JSON response. """ url = self.get_url('self') return self.session.put(url, data=experiment, headers=self._HEADER_JSON_CONTENT).json() def delete(self) -> Dict: """Delete the experiment. Returns: JSON response. """ url = self.get_url('self') return self.session.delete(url).json() def upload_plot( self, plot: Union[bytes, str], plot_name: str, sync_upload: bool = True ) -> Dict: """Upload a plot for the experiment. Args: plot: Plot file name or data to upload. plot_name: Name of the plot. sync_upload: By default the server will upload the plot file to backend storage asynchronously. Set this to False to use that behavior and not block the upload. Returns: JSON response. """ url = self.get_url('upload_plots') headers = { 'x-sync-upload': str(sync_upload) } if isinstance(plot, str): with open(plot, 'rb') as file: data = {'plot': (plot_name, file)} response = self.session.post(url, files=data, headers=headers).json() else: data = {'plot': (plot_name, plot)} # type: ignore[dict-item] response = self.session.post(url, files=data, headers=headers).json() return response class ExperimentPlot(RestAdapterBase): """Rest adapter for experiment plot related endpoints.""" URL_MAP = { 'self': '' } def __init__( self, session: RetrySession, experiment_uuid: str, plot_name: str, url_prefix: str = '') -> None: """Experiment constructor. Args: session: Session to be used in the adaptor. experiment_uuid: UUID of the experiment. plot_name: Name of the plot. url_prefix: URL prefix. """ super().__init__(session, '{}/experiments/{}/plots/{}'.format( url_prefix, experiment_uuid, plot_name)) self.plot_name = plot_name def retrieve(self) -> bytes: """Retrieve the specific experiment plot. Returns: Plot content. """ url = self.get_url('self') response = self.session.get(url) return response.content def delete(self) -> None: """Delete this experiment plot.""" url = self.get_url('self') self.session.delete(url) def update( self, plot: Union[bytes, str], sync_upload: bool = True ) -> Dict: """Update an experiment plot. Args: plot: Plot file name or data to upload. sync_upload: By default the server will upload the plot file to backend storage asynchronously. Set this to False to use that behavior and not block the upload. Returns: JSON response. """ url = self.get_url('self') headers = { 'x-sync-upload': str(sync_upload) } if isinstance(plot, str): with open(plot, 'rb') as file: data = {'plot': (self.plot_name, file)} response = self.session.put(url, files=data, headers=headers).json() else: data = {'plot': (self.plot_name, plot)} # type: ignore[dict-item] response = self.session.put(url, files=data, headers=headers).json() return response

[ "noreply@github.com" ]

Qiskit.noreply@github.com

be022fe3fefde1e08b0c0cafbf8646767f2ba51d

a65103e2f33192d9e6fcf8c8852f263369190175

/core/models.py

c653f88b69de6db591ec935f5bf162047d706249

[]

no_license

dhilipsiva/ircman

e23153572d5f8cf09d4ed7d47c47b90050762489

767b42f321598b155f2fd74729947ed92f8da160

refs/heads/master

2023-07-10T06:42:45.855788

2015-07-22T04:17:00

35,310,806

6

0

null

2023-09-05T05:15:21

2015-05-09T01:58:04

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UTF-8

Python

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py

#! /usr/bin/env python # -*- coding: utf-8 -*- # # vim: fenc=utf-8 # vim: tabstop=4 expandtab shiftwidth=4 softtabstop=4 # # """ File name: models.py Version: 0.1 Author: dhilipsiva <dhilipsiva@gmail.com> Date created: 2015-05-09 """ __author__ = "dhilipsiva" __status__ = "development" """ """ # Python imports import datetime from uuid import uuid4 # Django imports from django.utils.timezone import utc from django.contrib.auth.models import AbstractUser from django.db.models import Model, ForeignKey, DateTimeField, UUIDField, \ CharField, TextField, PositiveIntegerField, BooleanField def utc_now(): """ `now` with UTC """ return datetime.datetime.utcnow().replace(tzinfo=utc) class User(AbstractUser): """ A custom user so that we can add permissions easily """ id = UUIDField(primary_key=True, default=uuid4, editable=False) socket = UUIDField(default=uuid4, editable=False) class Meta(AbstractUser.Meta): abstract = False def save(self, *args, **kwargs): if 'pbkdf2_sha256' not in self.password: self.set_password(self.password) super(User, self).save(*args, **kwargs) def to_dict(self, with_sensitive_data=False): """ Dictify user """ d = { 'id': str(self.id), 'username': self.username, 'firstName': self.first_name, 'lastName': self.last_name, } if with_sensitive_data: d.update({ 'socket': str(self.socket), 'email': self.email, }) return d def __str__(self): return self.username def __repr__(self): return "<User: %s>" % self.__str__() class Server(Model): id = UUIDField(primary_key=True, default=uuid4, editable=False) host = CharField(max_length=256) port = PositiveIntegerField(default=6667, blank=True) is_ssl = BooleanField(default=False) is_sasl = BooleanField(default=False) def to_dict(self): """ Dictify user """ return { 'id': str(self.id), 'host': self.host, 'port': self.port, 'isSsl': self.is_ssl, 'isSasl': self.is_sasl, } def __str__(self): return self.host def __repr__(self): return "<Server: %s>" % self.__str__() class UserServer(Model): id = UUIDField(primary_key=True, default=uuid4, editable=False) user = ForeignKey(User, related_name="user_servers") server = ForeignKey(Server, related_name="user_servers") label = CharField(max_length=256, default="My IRC Server") username = CharField(max_length=256) password = CharField(max_length=256, null=True, blank=True) nickname = CharField(max_length=256) realname = CharField(max_length=256, null=True, blank=True) def to_dict(self): """ Dictify user """ return { 'id': str(self.id), 'user': str(self.user_id), 'server': str(self.server_id), 'label': self.label, 'username': self.username, 'password': self.password, 'nickname': self.nickname, 'realname': self.realname, } def __str__(self): return "%s - %s" % (self.user, self.server) def __repr__(self): return "<UserServer: %s>" % self.__str__() class Channel(Model): id = UUIDField(primary_key=True, default=uuid4, editable=False) server = ForeignKey(Server, related_name="channels") name = CharField(max_length=256) def to_dict(self): """ Dictify user """ return { 'id': str(self.id), 'server': str(self.server_id), 'name': self.name, } def __str__(self): return "%s - %s" % (self.server, self.name) def __repr__(self): return "<Channel: %s>" % self.__str__() class UserChannel(Model): id = UUIDField(primary_key=True, default=uuid4, editable=False) user_server = ForeignKey( UserServer, related_name="user_channels", null=True) channel = ForeignKey(Channel, related_name="user_channels") nickname = CharField(max_length=256) password = CharField(max_length=256, null=True, blank=True) mode = CharField(max_length=16, null=True, blank=True) def to_dict(self): """ Dictify user """ return { "id": str(self.id), "userServer": str(self.user_server_id), "channel": str(self.channel_id), "nickname": self.nickname, "password": self.password, "mode": self.mode, } def to_dict_deep(self): """ Deep `to_dict` """ d = self.to_dict() d['userServer'] = self.user_server.to_dict() d['channel'] = self.channel.to_dict() return d def __str__(self): return "%s - %s" % (self.channel, self.nickname) def __repr__(self): return "<UserChannel: %s>" % self.__str__() class BaseMessage(Model): id = UUIDField(primary_key=True, default=uuid4, editable=False) text = TextField() created_on = DateTimeField(auto_now_add=True) def to_dict(self): """ Dictify user """ return { 'id': str(self.id), 'text': self.text, 'createdOn': self.created_on, } class Meta: abstract = True class Message(BaseMessage): channel = ForeignKey(Channel, related_name="messages") user_channel = ForeignKey(UserChannel, related_name="messages") def to_dict(self): """ Dictify user """ d = super(Message, self).to_dict() d.update({ 'channel': str(self.channel_id), 'userChannel': str(self.user_channel_id), }) return d def __str__(self): return "%s" % self.text def __repr__(self): return "<Message: %s>" % self.__str__() class Conversation(Model): id = UUIDField(primary_key=True, default=uuid4, editable=False) user_channel_1 = ForeignKey(UserChannel, related_name='+') user_channel_2 = ForeignKey(UserChannel, related_name='+') def to_dict(self): """ Dictify Conversation """ return { 'id': str(self.id), 'userChannel1': str(self.user_channel_1_id), 'userChannel2': str(self.user_channel_2_id), } def __str__(self): return "%s - %s" % (self.user_channel_1_id, self.user_channel_2_id) def __repr__(self): return "<Conversation: %s>" % self.__str__() class PrivateMessage(BaseMessage): conversation = ForeignKey(Conversation, related_name='private_messages') user_channel = ForeignKey(UserChannel, related_name='private_messages') read = BooleanField(default=False) def to_dict(self): """ Dictify user """ d = super(PrivateMessage, self).to_dict() d.update({ 'conversation': str(self.conversation_id), 'userChannel': str(self.user_channel_id), 'read': self.read, }) return d def __repr__(self): return "<PrivateMessage: %s>" % self.__str__()

[ "dhilipsiva@gmail.com" ]

dhilipsiva@gmail.com

86c9b86af42f911790b3c9a9171e90b2a3a6d5ab

6b8c3974d3ce5f7841e51dcb406666c0c5d92155

/heat/heat/tests/mistral/test_mistral_cron_trigger.py

f675a7962563de8a3c4633e373b00471eb251b3b

[ "Apache-2.0" ]

permissive

swjang/cloudexchange

bbbf78a2e7444c1070a55378092c17e8ecb27059

c06ed54f38daeff23166fb0940b27df74c70fc3e

refs/heads/master

2020-12-29T03:18:43.076887

2015-09-21T07:13:22

42,845,532

1

null

2015-09-21T07:13:22

2015-09-21T05:19:35

C++

UTF-8

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4,428

py

# # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import mock from heat.common import template_format from heat.engine import resources from heat.engine.resources.openstack.mistral import cron_trigger from heat.engine import scheduler from heat.tests import common from heat.tests import utils stack_template = ''' heat_template_version: 2013-05-23 resources: cron_trigger: type: OS::Mistral::CronTrigger properties: name: my_cron_trigger pattern: "* * 0 * *" workflow: {'name': 'get_first_glance_image', 'input': {} } count: 3 first_time: "2015-04-08 06:20" ''' class FakeCronTrigger(object): def __init__(self, name): self.name = name self.next_execution_time = '2015-03-01 00:00:00' self.remaining_executions = 3 self._data = {'trigger': 'info'} class MistralCronTriggerTestResource(cron_trigger.CronTrigger): @classmethod def is_service_available(cls, context): return True class MistralCronTriggerTest(common.HeatTestCase): def setUp(self): super(MistralCronTriggerTest, self).setUp() resources.initialise() utils.setup_dummy_db() self.ctx = utils.dummy_context() t = template_format.parse(stack_template) self.stack = utils.parse_stack(t) resource_defns = self.stack.t.resource_definitions(self.stack) self.rsrc_defn = resource_defns['cron_trigger'] self.client = mock.Mock() self.patchobject(MistralCronTriggerTestResource, 'client', return_value=self.client) def _create_resource(self, name, snippet, stack): ct = MistralCronTriggerTestResource(name, snippet, stack) self.client.cron_triggers.create.return_value = FakeCronTrigger( 'my_cron_trigger') self.client.cron_triggers.get.return_value = FakeCronTrigger( 'my_cron_trigger') scheduler.TaskRunner(ct.create)() args = self.client.cron_triggers.create.call_args[1] self.assertEqual('* * 0 * *', args['pattern']) self.assertEqual('get_first_glance_image', args['workflow_name']) self.assertEqual({}, args['workflow_input']) self.assertEqual('2015-04-08 06:20', args['first_time']) self.assertEqual(3, args['count']) self.assertEqual('my_cron_trigger', ct.resource_id) return ct def test_create(self): ct = self._create_resource('trigger', self.rsrc_defn, self.stack) expected_state = (ct.CREATE, ct.COMPLETE) self.assertEqual(expected_state, ct.state) def test_resource_mapping(self): mapping = cron_trigger.resource_mapping() self.assertEqual(1, len(mapping)) self.assertEqual(cron_trigger.CronTrigger, mapping['OS::Mistral::CronTrigger']) def test_attributes(self): ct = self._create_resource('trigger', self.rsrc_defn, self.stack) self.assertEqual('2015-03-01 00:00:00', ct.FnGetAtt('next_execution_time')) self.assertEqual(3, ct.FnGetAtt('remaining_executions')) self.assertEqual({'trigger': 'info'}, ct.FnGetAtt('show')) def test_delete(self): ct = self._create_resource('trigger', self.rsrc_defn, self.stack) scheduler.TaskRunner(ct.delete)() self.assertEqual((ct.DELETE, ct.COMPLETE), ct.state) self.client.cron_triggers.delete.assert_called_once_with( ct.resource_id) def test_delete_not_found(self): ct = self._create_resource('trigger', self.rsrc_defn, self.stack) self.client.cron_triggers.delete.side_effect = ( self.client.mistral_base.APIException(error_code=404)) scheduler.TaskRunner(ct.delete)() self.assertEqual((ct.DELETE, ct.COMPLETE), ct.state) self.client.cron_triggers.delete.assert_called_once_with( ct.resource_id)

[ "kiku4@kinx.net" ]

kiku4@kinx.net

aba17ae60493775a1cbdd3dc41b31bb2ee9afbcd

669e9241b02bdaa303fbc2fd4023b90d4d179a59

/Cash Register/base.py

272ceeded4ef34a761806bab212fe9e20d79a550

[]

no_license

benjaminpotter/HatchProjects

0854cf46ae7c3781468116a5d63b703dd54ae68c

7f6a948d3474c755d071751b725c059e6c7f3553

refs/heads/master

2022-01-28T16:58:03.449073

2019-08-16T13:47:30

null

0

null

UTF-8

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1,146

py

def setup(): size(400, 400) bg_color = color(120, 120, 120) bills_and_coins = [100, 50, 20, 10, 5, 2, 1, 0.25, 0.10, 0.5] def draw_cash_registerfunction(): noStroke() fill(50, 50, 50) rect(50, 50, 300, 220, 0) fill(225, 225, 225) rect(87, 130, 225, 35, 0) fill(225, 225, 225) rect(87, 210, 225, 35, 0) fill(225, 225, 225) textSize(20) text("Cash Register", 135, 85) textSize(14) text("Cost", 90, 120) text("Tendered", 90, 200) def draw(): background(bg_color) draw_cash_register() noLoop() cost = prompt("Input cost", "") tendered = prompt("Input tendered amount", "") change = Math.round((tendered - cost) / 0.05) * 0.05 fill(0, 0, 0) text(cost, 95, 152) text(tendered, 95, 232) res = [] for i in range(0, 10): count = 0; while change >= bills_and_coins[i]: count++ change -= bills_and_coins[i] res.append(count) answer = "" for i in range (0, 10): if res[i] > 0: answer += res[i] + "x $" + bills_and_coins[i] + "\n" text(answer, 70, 325)

[ "noreply@github.com" ]

benjaminpotter.noreply@github.com

4077f2c69b513dfbb09a6279cfbd85f564d84ab5

9f9ec8bebfe8b7ac8e60dcaa23153abe976585e6

/dataCommons/postingAPI/tasks.py

1ade94032b03b28ce48f6ba157446b40d942de40

[]

no_license

erikwestra/data-commons

bbf32cd9b4b64ace28bcb049190d8272a23ed891

e3ed33fad104157ff505bb02bc7ae981f8ba3b11

refs/heads/master

2020-04-11T12:03:19.996644

2013-02-14T17:08:24

8,188,655

1

0

null

UTF-8

Python

false

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py

""" dataCommons.postingAPI.tasks This module implements the background tasks run by the Celery task queuing system. """ import logging from celery import task from dataCommons.shared.lib.decorators import print_exceptions_to_stdout from dataCommons.postingAPI import postingProcessor ############################################################################# logger = logging.getLogger(__name__) ############################################################################# @task() @print_exceptions_to_stdout def process_postings(parsed_postings): """ Process the given set of postings. Note that we simply call the posting processor to do all the work, but wrap it up in a Huey command so that the work is queued, and use the 'print_exceptions_to_stdout' decorator so that any exceptions will be logged to stdout rather than written to the Huey log file (which won't exist when the system is deployed to Heroku). """ postingProcessor.process_postings(parsed_postings)

[ "ewestra@gmail.com" ]

ewestra@gmail.com

06c1ae158672d9a651a94f2a70faf79cce3232d5

fff54b01b46cef0bbc70a6469c88c01c82af5a57

/network/analyzer/libpcap/actions.py

33f3310aad9a49bdb10846b36e483c86e64304b9

[]

no_license

LimeLinux/Packages

e51deae6c0d1406e31f06caa5aaa7749466bef0b

d492e075d8b051df68b98c315ad0628e33a8fac4

refs/heads/master

2021-01-11T12:37:22.150638

2018-08-30T18:24:32

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2018-02-02T17:24:06

2016-12-21T13:33:45

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Python

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853

py

#!/usr/bin/python # -*- coding: utf-8 -*- # # Licensed under the GNU General Public License, version 3. # See the file http://www.gnu.org/licenses/gpl.txt from pisi.actionsapi import autotools from pisi.actionsapi import pisitools from pisi.actionsapi import shelltools from pisi.actionsapi import get def setup(): shelltools.export("CFLAGS", "%s -fPIC" % get.CFLAGS()) autotools.autoreconf("-vfi") autotools.configure("--prefix=/usr \ --enable-ipv6") def build(): autotools.make("all") autotools.make("shared") def install(): autotools.rawInstall('DESTDIR="%s"' % get.installDIR()) # No static libs pisitools.remove("/usr/lib/*.a") # it is needed for ppd etc. pisitools.insinto("/usr/include", "pcap-int.h") pisitools.dodoc("CHANGES", "CREDITS", "README*", "VERSION", "TODO")

[ "zirkovandersen@gmail.com" ]

zirkovandersen@gmail.com

0c3ba85209268e4419995bf3b0e59c8dc4ee5a21

1a4bc1a11fdb3f714f22f5e0e826b47aa0569de2

/projects/project02/tests/q1_1.py

61dd4039d3bf8affab16b12c4665cbd175e3a540

[]

no_license

taylorgibson/ma4110-fa21

201af7a044fd7d99140c68c48817306c18479610

a306e1b6e7516def7de968781f6c8c21deebeaf5

refs/heads/main

2023-09-05T21:31:44.259079

2021-11-18T17:42:15

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py

test = { 'name': 'q1_1', 'points': None, 'suites': [{'cases': [{'code': '>>> type(all_unique_causes) in [np.ndarray, list]\nTrue', 'hidden': False, 'locked': False}], 'scored': True, 'setup': '', 'teardown': '', 'type': 'doctest'}]}

[ "taylorgibson@gmail.com" ]

taylorgibson@gmail.com

872fea6e32fd13b181d5aee64e9711014a9df0d1

cbc5e26bb47ae69e80a3649c90275becf25ce404

/xlsxwriter/test/styles/test_write_num_fmts.py

1445d94a1fdf72bcc2de972b5c46a5085b48cd0d

[ "BSD-2-Clause-Views", "BSD-3-Clause", "MIT" ]

permissive

mst-solar-car/kicad-bom-generator

c3549409c3139f787ad28391372b5cb03791694a

2aae905056d06f3d25343a8d784049c141d05640

refs/heads/master

2021-09-07T14:00:40.759486

2018-02-23T23:21:13

107,868,801

3

0

null

UTF-8

Python

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1,007

py

############################################################################### # # Tests for XlsxWriter. # # Copyright (c), 2013-2017, John McNamara, jmcnamara@cpan.org # import unittest from ...compatibility import StringIO from ...styles import Styles from ...format import Format class TestWriteNumFmts(unittest.TestCase): """ Test the Styles _write_num_fmts() method. """ def setUp(self): self.fh = StringIO() self.styles = Styles() self.styles._set_filehandle(self.fh) def test_write_num_fmts(self): """Test the _write_num_fmts() method""" xf_format = Format() xf_format.num_format_index = 164 xf_format.set_num_format('#,##0.0') self.styles._set_style_properties([[xf_format], None, 0, 1, 0, 0, [], []]) self.styles._write_num_fmts() exp = """<numFmts count="1"><numFmt numFmtId="164" formatCode="#,##0.0"/></numFmts>""" got = self.fh.getvalue() self.assertEqual(got, exp)

[ "mwrb7d@mst.edu" ]

mwrb7d@mst.edu

84a8d7587333beacb530ca0dc5bd8c795e393d3a

5cb29431ecbba7b61463c67749794b54201907e1

/pelicide/runner.py

688ba9e582ad94aeb3dcda92e73a6b397e49a1ed

[]

no_license

iksteen/pelicide

6a9a88a1fe2df6acb271c465942820ab76ccfa82

5b8a6a919257840fafdcab5c886c81a72b18a6c0

refs/heads/master

2021-05-16T02:39:52.910803

2016-01-06T11:40:51

34,100,676

16

2

null

2019-10-22T23:49:10

2015-04-17T06:35:34

HTML

UTF-8

Python

false

2,958

py

import json import os import sys from twisted.internet import defer, protocol class RunnerProtocol(protocol.ProcessProtocol): def __init__(self, callback): self.callback = callback self.seq = 0 self.buffer = '' self.pending = set() def sendCommand(self, command, args=None): self.seq += 1 self.pending.add(self.seq) self.transport.write('%d %s %s\n' % (self.seq, command, json.dumps(args))) return self.seq def outReceived(self, data): self.buffer += data while '\n' in self.buffer: response, self.buffer = self.buffer.split('\n', 1) self.process_response(response) def process_response(self, response): seq, result, args = response.split(' ', 2) seq = int(seq) if seq in self.pending: self.pending.remove(seq) args = json.loads(args) if self.callback is not None: self.callback(seq, result == '+', args) def processExited(self, reason): pending, self.pending = self.pending, set() while pending: self.callback(pending.pop(), False, reason) class Runner(object): def __init__(self, python, config_path, settings, **kwargs): reactor = kwargs.get('reactor') if reactor is None: from twisted.internet import reactor self.reactor = reactor self.python = python self.config_path = config_path self.init_settings = settings self.settings = None self.d = None self.pending = {} def start(self): self.d = defer.Deferred() runner = os.path.join(os.path.dirname(__file__), 'pelican-runner.py') protocol = RunnerProtocol(self.responseReceived) self.transport = self.reactor.spawnProcess( protocol, self.python, [ self.python, runner, self.config_path, json.dumps(self.init_settings), ], env=None, childFDs={ 0: 'w', 1: 'r', 2: sys.stderr.fileno(), }, ) return self.d def restart(self): return self.command('quit').addCallback(lambda _: self.start()) def command(self, command, args=None): if self.transport.proto is None: self.start() command_id = self.transport.proto.sendCommand(command, args) d = defer.Deferred() self.pending[command_id] = d return d def responseReceived(self, command_seq, success, args): if command_seq == 0: self.settings = args if self.d: self.d.callback(args) self.d = None return d = self.pending.pop(command_seq) if success: d.callback(args) else: d.errback(RuntimeError(args))

[ "iksteen@gmail.com" ]

iksteen@gmail.com

842861fff402dd09ab5a9f2cfa8e490d1b842ff7

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p03696/s669152949.py

6ffe317a8dbd760aeaf50530708cdf2ac5bd88ad

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

UTF-8

Python

false

162

py

N=int(input()) S=input() A=0 #( B=0 #) for s in S: if s=='(': A+=1 elif s==')' and A>0: A-=1 else: B+=1 print('('*B+S+')'*A)

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

66529651+Aastha2104@users.noreply.github.com

1ee7dc2b9ca208d6002aaa8adfe393e5b25d084f

88be4d5657d19462eb1d74d2d4d98180b423a889

/robolearn/torch/policies/weighted_multi_policy_selector.py

e0cb8481457f36ea0e1a6161526cff851f74721d

[ "BSD-3-Clause" ]

permissive

domingoesteban/robolearn

bc58278fe38894f4ca9ec9e657ee13a479a368b7

0d20125425c352b80ef2eeed1c0b11ab6497b11a

refs/heads/master

2020-04-15T22:38:25.343229

2019-01-29T17:01:42

165,080,647

1

null

UTF-8

Python

false

1,021

py

from robolearn.torch.core import PyTorchModule from robolearn.models.policies import ExplorationPolicy class WeightedMultiPolicySelector(PyTorchModule, ExplorationPolicy): def __init__(self, multipolicy, idx): self.save_init_params(locals()) super(WeightedMultiPolicySelector, self).__init__() ExplorationPolicy.__init__(self, multipolicy.action_dim) self._multipolicy = multipolicy self.idx = idx def get_action(self, *args, **kwargs): kwargs['pol_idx'] = self.idx action, policy_info = self._multipolicy.get_action(*args, **kwargs) return action, policy_info def get_actions(self, *args, **kwargs): kwargs['pol_idx'] = self.idx action, policy_info = self._multipolicy.get_actions(*args, **kwargs) return action, policy_info def forward(self, *nn_input, **kwargs): kwargs['pol_idx'] = self.idx action, policy_info = self._multipolicy(*nn_input, **kwargs) return action, policy_info

[ "domingo.esteban@iit.it" ]

domingo.esteban@iit.it

8ae9fb9ae54b014300cf7675e7bfdbabcd0e5011

836d5f7190f6b4503e758c87c71598f18fdfce14

/12-Veri-Tabanı/sqlite-database-2/database.py

d5adc5a68ad53c2351607d67672c1ff0cbb2b0b7

[]

no_license

S-Oktay-Bicici/PYTHON-PROGRAMMING

cf452723fd3e7e8ec2aadc7980208d747c502e9a

22e864f89544249d6309d6f4570a4104bf47346b

refs/heads/main

2021-11-30T00:19:21.158084

2021-11-16T15:44:29

316,716,147

1

0

null

UTF-8

Python

false

446

py

import sqlite3 veriler = [ ("Ahmet Ümit","İstanbul Hatırası"), ("Yaşar Kemal","İnce Memed"), ("Paulo Coelho","Simyacı"), ("Paulo Coelho","Aldatmak")] db = sqlite3.connect("kitaplar.db") imlec = db.cursor() imlec.execute("CREATE TABLE IF NOT EXISTS 'kitaplık tablosu' (yazar,kitap)") for veri in veriler: imlec.execute("INSERT INTO 'kitaplık tablosu' VALUES (?,?)",veri) db.commit() db.close()

[ "noreply@github.com" ]

S-Oktay-Bicici.noreply@github.com

263e5accf9c46da5bf018e6fe716b80de9ee55da

4e0ff785b993b6bae70745434e61f27ca82e88f0

/229-Majority-Element-II/solution.py

1b9494257f4bd6ea4a55db58f2ad57d67a4ef1ec

[]

no_license

NobodyWHU/Leetcode

2ee557dd77c65c5fa8ca938efb6de3793b4de261

d284fa3daab02531e5300867463b293d44737e32

refs/heads/master

2021-01-23T14:05:28.161062

2016-09-23T11:51:51

58,898,114

1

0

null

UTF-8

Python

false

621

py

class Solution(object): def majorityElement(self, nums): """ :type nums: List[int] :rtype: List[int] """ n1 = n2 = None c1 = c2 = 0 for num in nums: if n1 == num: c1 += 1 elif n2 == num: c2 += 1 elif c1 == 0: n1, c1 = num, 1 elif c2 == 0: n2, c2 = num, 1 else: c1, c2 = c1 - 1, c2 - 1 size = len(nums) return [n for n in (n1, n2) if n is not None and nums.count(n) > size / 3]

[ "haohaoranran@126.com" ]

haohaoranran@126.com

4490d298cb083a520e91f8cd046242f7439b10be

60cf5de97160c0c104b447879edd0ea1ca9724e8

/q29.py

34fb2528f462f89c7b3226061a2fd7f1d74bc2cd

[]

no_license

VinayHaryan/String

6f6b7924ab87ac8ea5509edefaa3aeda795b0de0

089dcf02a8d26afcae0ac2b23c640be5a6079095

refs/heads/main

2023-05-27T22:15:31.792837

2021-06-17T08:39:42

377,736,749

2

0

null

UTF-8

Python

false

1,557

py

''' RUN LENGTH ENCODING IN PYTHON given an input string, write a function that returns string for the input string For example, if the input string is ‘wwwwaaadexxxxxx’, then the function should return ‘w4a3d1e1x6’. Examples: Input : str = 'wwwwaaadexxxxxx' Output : 'w4a3d1e1x6' ''' # python code for run length encoding # from collections import OrderedDict # def runlength(input): # # generate ordered dictionary of all lower # # case alphabets, its output will be # # dict = {'w':0, 'a':0, 'd':0, 'e':0, 'x':0} # dict = OrderedDict.fromkeys(input,0) # # now iterate through input string to calculate # # frquency of each character, its output will be # # dict = {'w':4,'a':3,'d':1,'e':1,'x':6} # for ch in input: # dict[ch] += 1 # # now iterate through dictionary to make # # output string from (key,value) pairs # output = '' # for key,value in dict.items(): # output = output + key + str(value) # return output # # Driver function # if __name__ == '__main__': # input="wwwwaaadexxxxxx" # print (runlength(input)) from collections import OrderedDict def runlengthencoding(input): dict = OrderedDict.fromkeys(input,0) for ch in input: dict[ch] += 1 output = '' for key, value in dict.items(): output = output + key + str(value) return output # Driver function if __name__ == '__main__': input = 'wwwwaaadexxxxxx' print(runlengthencoding(input))

[ "noreply@github.com" ]

VinayHaryan.noreply@github.com

9d5e381b6742e606d841d20ce2e6480a9029a65d

e3af1769d017fa5b20677b1228fd3ab42afc8927

/projet/IBPackage/operations.py

481a6a5755012665fb4d06ee741c5fdef5d684ad

[]

no_license

komi24/IB201116

08e8692a72badb82eecc79af753e1cf5c4021380

924c6540978b0308686eac867c16a3f6d1725f65

refs/heads/master

2023-01-19T11:34:32.627342

2020-11-20T15:24:31

313,242,433

0

null

UTF-8

Python

false

258

py

# -*- coding: utf-8 -*- def ajoute_2(a): return a + 2 def addition(a, b): return a + b def produit(a, b): return a * b # def moyenne(liste, operation, init): # somme = init # for i in liste: # somme = operation(i, somme)

[ "mickael.bolnet@gmail.com" ]

mickael.bolnet@gmail.com

77b73a4c62c781666aa6f58703e8ed6973d129db

c61145e8771724575f67ae5738dd6cbb9626a706

/blog/models.py

b885ebd7fe878c0266a464c1da35eb04d96169e5

[]

no_license

Seredyak1/test_task

1399dd082f4281ca6f72d036f4df4c1c6945dafe

a5d433b827df46ffa95dd6dd91245b204884674f

refs/heads/master

2020-04-16T08:03:04.521740

2019-01-16T09:33:47

165,409,648

0

null

UTF-8

Python

false

1,118

py

from django.contrib.auth.models import User from django.db import models class Post(models.Model): class Meta: verbose_name_plural = 'Posts' ordering = ('-updated_at',) user = models.ForeignKey(User, on_delete=models.CASCADE) title = models.CharField(max_length=128, blank=True, null=True) body = models.TextField(blank=True, null=True) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) def __str__(self): return self.title @property def like_count(self): """Show the number of likes in the Post""" return self.like_set.count() def add_like(self, user): """Add like to this Post""" Like.objects.get_or_create(user=user, post=self) def unlike(self, user): """Delete like to this Post""" Like.objects.filter(user=user, post=self).delete() class Like(models.Model): user = models.ForeignKey(User, on_delete=models.CASCADE) post = models.ForeignKey(Post, on_delete=models.CASCADE) created = models.DateTimeField(auto_now_add=True)

[ "sanya.seredyak@gmail.com" ]

sanya.seredyak@gmail.com

8ae1215e7351323fa30e296d34e9cf8d769a78c1

6c50175e82974fdb0ccabd544a40e013e6672cb0

/LoginReg_Bootstrap/settings.py

fbcb01abea32951e3eba4b4872bb9626432a3aa4

[]

no_license

Jallnutt1/LoginReg_Bootstrap

9515878688ac6a16efaba18345b90b389a6c6213

60532872f1e04a5809f65745665e2f16df0a913e

refs/heads/main

2023-05-26T05:02:59.124607

2021-06-04T01:50:46

373,688,654

0

null

UTF-8

Python

false

3,151

py

""" Django settings for LoginReg_Bootstrap project. Generated by 'django-admin startproject' using Django 2.2. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '!lgvb3n$coe(bg@64j#p)&r^u6+o&y!vjmh=1c&iph=j%%&ylu' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'LoginReg', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'LoginReg_Bootstrap.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'LoginReg_Bootstrap.wsgi.application' # Database # https://docs.djangoproject.com/en/2.2/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.2/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'America/New_York' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.2/howto/static-files/ STATIC_URL = '/static/'

[ "{ID}+{username}@users.noreply.github.com" ]

{ID}+{username}@users.noreply.github.com

c006ca77594cce7b285e3cb5b9081c678b8e1f01

668dad44beb30cadb170e32a8a7f0a57c42e653c

/denormalize_to_csv.py

d2910eec545e9f6d62c1a4e254eb4424ae66ed54

[]

no_license

SEL-Columbia/ss_data_analysis

22b72540732b03836423e18462495b2252a2cca8

dfb8c2670cddbddbb693e5a3243bc829bccf5ae0

refs/heads/master

2016-09-05T12:31:00.546458

2013-10-21T23:01:34

13,162,453

0

null

UTF-8

Python

false

4,354

py

import os import datetime import csv import sys """ denormalize_to_csv.py usage: python denormalize_to_csv.py logs_dir description: Script to take a directory of sharedsolar log files in csv format and denormalizes them such that they can be concatenated together into "one big table" of the same structure without losing any information (while duplicating some...hence "denormalize") """ FIELD_MAP = { 'Time Stamp': 'time_stamp', 'Watts': 'watts', 'Volts': 'volts', 'Amps': 'amps', 'Watt Hours SC20': 'watt_hours_sc20', 'Watt Hours Today': 'watt_hours_today', 'Max Watts': 'max_watts', 'Max Volts': 'max_volts', 'Max Amps': 'max_amps', 'Min Watts': 'min_watts', 'Min Volts': 'min_volts', 'Min Amps': 'min_amps', 'Power Factor': 'power_factor', 'Power Cycle': 'power_cycle', 'Frequency': 'frequency', 'Volt Amps': 'volt_amps', 'Relay Not Closed': 'relay_not_closed', 'Send Rate': 'send_rate', 'Machine ID': 'machine_id', 'Type': 'circuit_type', 'Credit': 'credit' } def write_denormalized_csv(logfile, site, ip): outfile = logfile.replace(".log", ".csv") with open(logfile,'r') as csvinput: with open(outfile, 'w') as csvoutput: first_line = csvinput.readline() # Simple check for properly formatted file (NOTE: MAINS files will not have a credit field at the end) if (first_line.startswith("Time Stamp,Watts,Volts,Amps,Watt Hours SC20,Watt Hours Today,Max Watts,Max Volts,Max Amps,Min Watts,Min Volts,Min Amps,Power Factor,Power Cycle,Frequency,Volt Amps,Relay Not Closed,Send Rate,Machine ID,Type")): # reset read ptr csvinput.seek(0) reader = csv.reader(csvinput) writer = csv.writer(csvoutput, lineterminator='\n') all = [] has_credit = True # handle the header row existing_header_row = next(reader) new_header_row = [] # add the new denormalized fields to the new header new_header_row.append('line_num') new_header_row.append('site_id') new_header_row.append('ip_addr') # If the header row doesn't contain the Credit field, add it if existing_header_row[-1] != 'Credit': existing_header_row.append('Credit') has_credit = False # convert field names for field in existing_header_row: if field not in FIELD_MAP: sys.stderr.write("Erroneous field: %s in file: %s skipping..." % (field, logfile)) else: new_header_row.append(FIELD_MAP[field]) all.append(new_header_row) line_num = 0 for row in reader: row.insert(0, line_num) row.insert(1, site) row.insert(2, ip) # in case there was no credit field in the input file, make it 0 if not has_credit: row.append("0") all.append(row) line_num = line_num + 1 writer.writerows(all) line_num = 0 else: sys.stderr.write("Empty or corrupted file: %s\n" % logfile) def denormalize_to_csv(logs_dir): for (dirpath,dirnames,filenames) in os.walk(logs_dir): for f in filenames: if f.endswith(".log"): dir_info = dirpath.split("/") # Note: dir_info contents are blah/Site/YYYY/MM/DD/HH site = dir_info[-5] # get the site from the dir (site is always 5 dirs up in the path) ip = f[0:f.find(".")] # get the ip from the filename full_filename = os.path.join(dirpath, f) write_denormalized_csv(full_filename, site, ip) if __name__=="__main__": import sys assert len(sys.argv) == 2, \ "Usage: python denormalize_to_csv.py logs_dir" logs_dir = sys.argv[1] denormalize_to_csv(logs_dir)

[ "chris.natali@gmail.com" ]

chris.natali@gmail.com

5d2c18d1ea37c56236232061cf2a19e8e6d11fac

ca75f7099b93d8083d5b2e9c6db2e8821e63f83b

/z2/part2/interactive/jm/random_normal_1/561870518.py

e07b9173fe09044ec19d2a4fbff66e5550b7c929

[ "MIT" ]

permissive

kozakusek/ipp-2020-testy

210ed201eaea3c86933266bd57ee284c9fbc1b96

09aa008fa53d159672cc7cbf969a6b237e15a7b8

refs/heads/master

2022-10-04T18:55:37.875713

2020-06-09T21:15:37

262,290,632

0

MIT

2020-06-09T21:15:38

2020-05-08T10:10:47

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from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 561870518 """ """ random actions, total chaos """ board = gamma_new(6, 8, 4, 15) assert board is not None assert gamma_move(board, 1, 0, 2) == 1 assert gamma_move(board, 1, 4, 2) == 1 assert gamma_move(board, 2, 3, 7) == 1 assert gamma_move(board, 2, 2, 7) == 1 assert gamma_busy_fields(board, 2) == 2 assert gamma_move(board, 3, 3, 4) == 1 assert gamma_free_fields(board, 3) == 43 board700952916 = gamma_board(board) assert board700952916 is not None assert board700952916 == ("..22..\n" "......\n" "......\n" "...3..\n" "......\n" "1...1.\n" "......\n" "......\n") del board700952916 board700952916 = None assert gamma_move(board, 1, 0, 0) == 1 assert gamma_move(board, 2, 2, 4) == 1 assert gamma_free_fields(board, 2) == 41 assert gamma_move(board, 3, 1, 7) == 1 assert gamma_move(board, 3, 0, 5) == 1 assert gamma_move(board, 4, 3, 3) == 1 assert gamma_move(board, 4, 0, 5) == 0 assert gamma_move(board, 1, 5, 5) == 1 assert gamma_move(board, 1, 4, 3) == 1 assert gamma_move(board, 2, 4, 7) == 1 assert gamma_move(board, 3, 3, 5) == 1 assert gamma_move(board, 3, 2, 0) == 1 assert gamma_move(board, 4, 4, 4) == 1 assert gamma_move(board, 4, 1, 1) == 1 assert gamma_move(board, 1, 3, 5) == 0 assert gamma_free_fields(board, 1) == 31 assert gamma_move(board, 2, 5, 1) == 1 assert gamma_busy_fields(board, 3) == 5 assert gamma_move(board, 4, 4, 1) == 1 assert gamma_move(board, 1, 6, 2) == 0 assert gamma_busy_fields(board, 1) == 5 assert gamma_move(board, 2, 1, 3) == 1 assert gamma_move(board, 3, 3, 2) == 1 assert gamma_move(board, 3, 1, 5) == 1 assert gamma_move(board, 4, 3, 0) == 1 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 4, 1) == 0 assert gamma_move(board, 2, 1, 7) == 0 assert gamma_free_fields(board, 2) == 25 assert gamma_move(board, 3, 2, 2) == 1 assert gamma_move(board, 3, 2, 0) == 0 assert gamma_free_fields(board, 3) == 24 assert gamma_move(board, 4, 6, 1) == 0 assert gamma_golden_possible(board, 4) == 1 assert gamma_move(board, 1, 7, 0) == 0 assert gamma_move(board, 2, 6, 3) == 0 assert gamma_move(board, 3, 1, 0) == 1 assert gamma_move(board, 4, 6, 5) == 0 board137299271 = gamma_board(board) assert board137299271 is not None assert board137299271 == (".3222.\n" "......\n" "33.3.1\n" "..234.\n" ".2.41.\n" "1.331.\n" ".4..42\n" "1334..\n") del board137299271 board137299271 = None assert gamma_move(board, 1, 2, 1) == 1 assert gamma_move(board, 1, 3, 5) == 0 assert gamma_move(board, 2, 0, 4) == 1 assert gamma_move(board, 2, 5, 4) == 1 assert gamma_busy_fields(board, 2) == 8 assert gamma_move(board, 3, 2, 5) == 1 assert gamma_move(board, 4, 0, 5) == 0 assert gamma_move(board, 4, 1, 2) == 1 assert gamma_move(board, 1, 5, 4) == 0 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 6, 5) == 0 assert gamma_move(board, 2, 5, 6) == 1 assert gamma_move(board, 3, 1, 4) == 1 assert gamma_move(board, 3, 5, 7) == 1 assert gamma_move(board, 4, 4, 6) == 1 assert gamma_move(board, 1, 6, 3) == 0 assert gamma_move(board, 1, 2, 2) == 0 assert gamma_move(board, 2, 2, 5) == 0 assert gamma_move(board, 2, 4, 4) == 0 assert gamma_golden_possible(board, 2) == 1 assert gamma_golden_move(board, 2, 1, 1) == 1 assert gamma_move(board, 3, 7, 0) == 0 assert gamma_move(board, 3, 0, 7) == 1 assert gamma_golden_possible(board, 4) == 1 assert gamma_move(board, 1, 1, 3) == 0 assert gamma_move(board, 1, 5, 5) == 0 assert gamma_move(board, 2, 6, 0) == 0 assert gamma_move(board, 4, 1, 3) == 0 assert gamma_move(board, 4, 2, 3) == 1 assert gamma_move(board, 1, 1, 7) == 0 assert gamma_move(board, 1, 1, 5) == 0 assert gamma_move(board, 2, 1, 0) == 0 assert gamma_free_fields(board, 2) == 12 assert gamma_move(board, 3, 1, 0) == 0 assert gamma_move(board, 4, 1, 3) == 0 assert gamma_move(board, 4, 0, 6) == 1 assert gamma_move(board, 1, 6, 1) == 0 assert gamma_move(board, 1, 1, 3) == 0 assert gamma_move(board, 2, 6, 1) == 0 assert gamma_move(board, 2, 0, 4) == 0 assert gamma_move(board, 3, 6, 1) == 0 assert gamma_move(board, 3, 2, 4) == 0 assert gamma_move(board, 4, 2, 5) == 0 assert gamma_move(board, 1, 4, 1) == 0 assert gamma_move(board, 1, 4, 5) == 1 assert gamma_move(board, 2, 1, 2) == 0 assert gamma_busy_fields(board, 2) == 10 assert gamma_move(board, 3, 1, 0) == 0 assert gamma_move(board, 3, 2, 3) == 0 assert gamma_busy_fields(board, 3) == 13 assert gamma_move(board, 4, 0, 4) == 0 assert gamma_busy_fields(board, 1) == 7 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 1, 0) == 0 assert gamma_free_fields(board, 2) == 10 assert gamma_move(board, 3, 2, 0) == 0 assert gamma_move(board, 3, 0, 6) == 0 assert gamma_busy_fields(board, 3) == 13 assert gamma_move(board, 4, 1, 3) == 0 assert gamma_move(board, 1, 2, 2) == 0 assert gamma_move(board, 1, 5, 4) == 0 assert gamma_move(board, 2, 2, 7) == 0 assert gamma_golden_possible(board, 2) == 0 assert gamma_move(board, 3, 4, 7) == 0 assert gamma_move(board, 3, 0, 4) == 0 assert gamma_move(board, 4, 3, 5) == 0 assert gamma_move(board, 4, 1, 5) == 0 assert gamma_busy_fields(board, 4) == 8 assert gamma_golden_possible(board, 4) == 1 assert gamma_move(board, 2, 0, 5) == 0 assert gamma_move(board, 2, 2, 7) == 0 assert gamma_busy_fields(board, 2) == 10 assert gamma_move(board, 3, 3, 5) == 0 assert gamma_busy_fields(board, 3) == 13 assert gamma_golden_possible(board, 4) == 1 assert gamma_move(board, 1, 1, 4) == 0 assert gamma_move(board, 2, 4, 1) == 0 assert gamma_move(board, 3, 0, 4) == 0 assert gamma_move(board, 4, 0, 3) == 1 assert gamma_golden_move(board, 4, 6, 5) == 0 assert gamma_move(board, 1, 1, 0) == 0 board301797101 = gamma_board(board) assert board301797101 is not None assert board301797101 == ("332223\n" "4...42\n" "333311\n" "232342\n" "42441.\n" "14331.\n" ".21.42\n" "1334..\n") del board301797101 board301797101 = None assert gamma_move(board, 2, 1, 3) == 0 assert gamma_golden_possible(board, 2) == 0 assert gamma_move(board, 3, 3, 5) == 0 assert gamma_move(board, 3, 0, 0) == 0 assert gamma_free_fields(board, 3) == 9 assert gamma_move(board, 1, 4, 7) == 0 assert gamma_move(board, 2, 6, 1) == 0 assert gamma_free_fields(board, 2) == 9 assert gamma_move(board, 3, 0, 1) == 1 assert gamma_move(board, 4, 0, 5) == 0 assert gamma_move(board, 1, 3, 5) == 0 assert gamma_move(board, 2, 0, 5) == 0 assert gamma_golden_possible(board, 2) == 0 assert gamma_move(board, 3, 3, 2) == 0 assert gamma_move(board, 3, 1, 7) == 0 assert gamma_move(board, 4, 3, 5) == 0 assert gamma_move(board, 4, 2, 7) == 0 assert gamma_move(board, 1, 0, 0) == 0 assert gamma_move(board, 2, 4, 6) == 0 assert gamma_golden_possible(board, 2) == 0 assert gamma_move(board, 3, 6, 2) == 0 assert gamma_golden_possible(board, 3) == 1 assert gamma_move(board, 4, 1, 3) == 0 assert gamma_move(board, 4, 4, 5) == 0 assert gamma_move(board, 1, 5, 0) == 1 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 6, 1) == 0 assert gamma_move(board, 2, 2, 1) == 0 assert gamma_move(board, 3, 6, 1) == 0 assert gamma_busy_fields(board, 3) == 14 assert gamma_golden_possible(board, 3) == 1 assert gamma_move(board, 4, 6, 3) == 0 assert gamma_busy_fields(board, 4) == 9 assert gamma_move(board, 1, 6, 1) == 0 assert gamma_move(board, 1, 1, 4) == 0 board493510436 = gamma_board(board) assert board493510436 is not None assert board493510436 == ("332223\n" "4...42\n" "333311\n" "232342\n" "42441.\n" "14331.\n" "321.42\n" "1334.1\n") del board493510436 board493510436 = None assert gamma_move(board, 2, 6, 3) == 0 assert gamma_move(board, 3, 0, 4) == 0 assert gamma_move(board, 4, 2, 5) == 0 gamma_delete(board)

[ "jakub@molinski.dev" ]

jakub@molinski.dev

4660ea0d2890f4a7ae7e8f48cbe1f776c8393822

de428c011b56db862f05ec0ceab17b85f83f94b1

/pythongame/scenes_game/player_environment_interactions.py

bfdfdb4eea733e83b0f61229bf7c9e6e1f382640

[]

no_license

risooonho/python-2d-game

c6d1fceaf09c72a6f7573230a4a899bf79164b7f

24b02646ed56f9017069b243b774e0ee46951aea

refs/heads/master

2021-05-17T06:02:13.538699

2020-02-15T23:59:54

null

0

null

UTF-8

Python

false

6,646

py

import sys from typing import Optional, Any, List, Tuple from pythongame.core.game_data import CONSUMABLES, PORTALS from pythongame.core.game_state import GameState, NonPlayerCharacter, LootableOnGround, Portal, WarpPoint, \ ConsumableOnGround, ItemOnGround, Chest, Shrine from pythongame.core.game_state import WorldEntity from pythongame.core.item_data import build_item_name, create_item_description, get_item_data from pythongame.core.math import boxes_intersect, is_x_and_y_within_distance, \ get_manhattan_distance_between_rects from pythongame.core.npc_behaviors import has_npc_dialog from pythongame.core.view.game_world_view import EntityActionText, EntityActionTextStyle from pythongame.scenes_game.game_engine import GameEngine class PlayerInteractionsState: def __init__(self): self.entity_to_interact_with: Any = None def handle_nearby_entities(self, player_entity: WorldEntity, game_state: GameState, game_engine: GameEngine): self.entity_to_interact_with = None player_position = player_entity.get_position() distance_to_closest_entity = sys.maxsize for npc in game_state.non_player_characters: if has_npc_dialog(npc.npc_type): close_to_player = is_x_and_y_within_distance(player_position, npc.world_entity.get_position(), 75) distance = get_manhattan_distance_between_rects(player_entity.rect(), npc.world_entity.rect()) if close_to_player and distance < distance_to_closest_entity: self.entity_to_interact_with = npc distance_to_closest_entity = distance lootables_on_ground: List[LootableOnGround] = list(game_state.items_on_ground) lootables_on_ground += game_state.consumables_on_ground for lootable in lootables_on_ground: if boxes_intersect(player_entity.rect(), lootable.world_entity.rect()): self.entity_to_interact_with = lootable distance_to_closest_entity = 0 for portal in game_state.portals: close_to_player = is_x_and_y_within_distance(player_position, portal.world_entity.get_position(), 75) distance = get_manhattan_distance_between_rects(player_entity.rect(), portal.world_entity.rect()) if close_to_player: game_engine.handle_being_close_to_portal(portal) if close_to_player and distance < distance_to_closest_entity: self.entity_to_interact_with = portal distance_to_closest_entity = distance for warp_point in game_state.warp_points: close_to_player = is_x_and_y_within_distance(player_position, warp_point.world_entity.get_position(), 75) distance = get_manhattan_distance_between_rects(player_entity.rect(), warp_point.world_entity.rect()) if close_to_player and distance < distance_to_closest_entity: self.entity_to_interact_with = warp_point distance_to_closest_entity = distance for chest in game_state.chests: close_to_player = is_x_and_y_within_distance(player_position, chest.world_entity.get_position(), 75) distance = get_manhattan_distance_between_rects(player_entity.rect(), chest.world_entity.rect()) if close_to_player and distance < distance_to_closest_entity: self.entity_to_interact_with = chest distance_to_closest_entity = distance for shrine in game_state.shrines: close_to_player = is_x_and_y_within_distance(player_position, shrine.world_entity.get_position(), 75) distance = get_manhattan_distance_between_rects(player_entity.rect(), shrine.world_entity.rect()) if close_to_player and distance < distance_to_closest_entity: self.entity_to_interact_with = shrine distance_to_closest_entity = distance def get_entity_to_interact_with(self): return self.entity_to_interact_with def get_entity_action_text(self, is_shift_key_held_down: bool) -> Optional[EntityActionText]: if self.entity_to_interact_with is None: return None return _get_entity_action_text(self.entity_to_interact_with, is_shift_key_held_down) def _get_entity_action_text(ready_entity: Any, is_shift_key_held_down: bool) -> Optional[EntityActionText]: if isinstance(ready_entity, NonPlayerCharacter): return EntityActionText(ready_entity.world_entity, "...", []) elif isinstance(ready_entity, LootableOnGround): name, style = _get_loot_name(ready_entity) if is_shift_key_held_down: loot_details = _get_loot_details(ready_entity) else: loot_details = [] return EntityActionText(ready_entity.world_entity, name, loot_details, style=style) elif isinstance(ready_entity, Portal): if ready_entity.is_enabled: data = PORTALS[ready_entity.portal_id] return EntityActionText(ready_entity.world_entity, data.destination_name, []) else: return EntityActionText(ready_entity.world_entity, "???", []) elif isinstance(ready_entity, WarpPoint): return EntityActionText(ready_entity.world_entity, "Warp", []) elif isinstance(ready_entity, Chest): return EntityActionText(ready_entity.world_entity, "Open", []) elif isinstance(ready_entity, Shrine): if ready_entity.has_been_used: return None else: return EntityActionText(ready_entity.world_entity, "Touch", []) else: raise Exception("Unhandled entity: " + str(ready_entity)) def _get_loot_name(lootable: LootableOnGround) -> Tuple[str, EntityActionTextStyle]: if isinstance(lootable, ConsumableOnGround): name = CONSUMABLES[lootable.consumable_type].name return name, EntityActionTextStyle.PLAIN if isinstance(lootable, ItemOnGround): name = build_item_name(lootable.item_id) if lootable.item_id.suffix_id is not None: style = EntityActionTextStyle.LOOT_RARE elif get_item_data(lootable.item_id).is_unique: style = EntityActionTextStyle.LOOT_UNIQUE else: style = EntityActionTextStyle.PLAIN return name, style def _get_loot_details(lootable: LootableOnGround) -> List[str]: if isinstance(lootable, ConsumableOnGround): return [CONSUMABLES[lootable.consumable_type].description] if isinstance(lootable, ItemOnGround): # TODO Render suffix lines differently? return [line.text for line in create_item_description(lootable.item_id)]

[ "jonte.murray@gmail.com" ]

jonte.murray@gmail.com

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/backend/sparepart_main/sparepart_main/asgi.py

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zahydakhan/project_spare

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refs/heads/master

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

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zahydakhan@gmail.com

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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from copy import deepcopy from typing import Any, Awaitable, TYPE_CHECKING from azure.core.rest import AsyncHttpResponse, HttpRequest from azure.mgmt.core import AsyncARMPipelineClient from .. import models as _models from ..._serialization import Deserializer, Serializer from ._configuration import ApplicationInsightsManagementClientConfiguration from .operations import WebTestsOperations if TYPE_CHECKING: # pylint: disable=unused-import,ungrouped-imports from azure.core.credentials_async import AsyncTokenCredential class ApplicationInsightsManagementClient: # pylint: disable=client-accepts-api-version-keyword """Composite Swagger for Application Insights Management Client. :ivar web_tests: WebTestsOperations operations :vartype web_tests: azure.mgmt.applicationinsights.v2022_06_15.aio.operations.WebTestsOperations :param credential: Credential needed for the client to connect to Azure. Required. :type credential: ~azure.core.credentials_async.AsyncTokenCredential :param subscription_id: The ID of the target subscription. Required. :type subscription_id: str :param base_url: Service URL. Default value is "https://management.azure.com". :type base_url: str :keyword api_version: Api Version. Default value is "2022-06-15". Note that overriding this default value may result in unsupported behavior. :paramtype api_version: str """ def __init__( self, credential: "AsyncTokenCredential", subscription_id: str, base_url: str = "https://management.azure.com", **kwargs: Any ) -> None: self._config = ApplicationInsightsManagementClientConfiguration( credential=credential, subscription_id=subscription_id, **kwargs ) self._client: AsyncARMPipelineClient = AsyncARMPipelineClient(base_url=base_url, config=self._config, **kwargs) client_models = {k: v for k, v in _models.__dict__.items() if isinstance(v, type)} self._serialize = Serializer(client_models) self._deserialize = Deserializer(client_models) self._serialize.client_side_validation = False self.web_tests = WebTestsOperations(self._client, self._config, self._serialize, self._deserialize) def _send_request(self, request: HttpRequest, **kwargs: Any) -> Awaitable[AsyncHttpResponse]: """Runs the network request through the client's chained policies. >>> from azure.core.rest import HttpRequest >>> request = HttpRequest("GET", "https://www.example.org/") <HttpRequest [GET], url: 'https://www.example.org/'> >>> response = await client._send_request(request) <AsyncHttpResponse: 200 OK> For more information on this code flow, see https://aka.ms/azsdk/dpcodegen/python/send_request :param request: The network request you want to make. Required. :type request: ~azure.core.rest.HttpRequest :keyword bool stream: Whether the response payload will be streamed. Defaults to False. :return: The response of your network call. Does not do error handling on your response. :rtype: ~azure.core.rest.AsyncHttpResponse """ request_copy = deepcopy(request) request_copy.url = self._client.format_url(request_copy.url) return self._client.send_request(request_copy, **kwargs) async def close(self) -> None: await self._client.close() async def __aenter__(self) -> "ApplicationInsightsManagementClient": await self._client.__aenter__() return self async def __aexit__(self, *exc_details: Any) -> None: await self._client.__aexit__(*exc_details)

[ "noreply@github.com" ]

Azure.noreply@github.com

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/solutions_python/Problem_135/2992.py

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[]

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dr-dos-ok/Code_Jam_Webscraper

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def read_case(file): answer = int(file.readline()) - 1 for skip in range(4): line = file.readline() if skip is answer: result = set(line.split()) return result def read_input(filename): with open(filename, "r") as in_file: n_cases = int(in_file.readline().split()[0]) for case in range(n_cases): yield case + 1, read_case(in_file), read_case(in_file) def solve_case(first, second): answer = first & second if len(answer) == 1: return "".join(answer) elif answer: return "Bad magician!" else: return "Volunteer cheated!" cases = read_input("A-small-attempt0.in") outfile = open("output.txt", "w+") for case, first, second in cases: result = solve_case(first, second) outfile.write("Case #{}: {}\n".format(case, result))

[ "miliar1732@gmail.com" ]

miliar1732@gmail.com

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/2018年11月15日福建省/gg.py

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moto-faith/work

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#!/usr/bin/env python #coding=utf-8 import time import datetime import re import json import requests import time import redis import sys from urlparse import urljoin from db import DB reload (sys) import copy import MySQLdb sys.setdefaultencoding ("utf-8") import htmlparser from PIL import Image def handle_post(post): post = copy.deepcopy(post) for k,v in post.iteritems(): print k,v if isinstance(v, unicode): v = v.encode("utf8") if not isinstance(v,str) and not isinstance(v, int) and not isinstance(v, float): v = json.dumps(v) try:v = MySQLdb.escape_string(v) except:pass post.update({k:v}) return post db = DB ().create ('mysql://zhxg:ZHxg2017!@192.168.1.19:3306/sjk') table = "list_info" result1 = "list_model_filter" urls = db.table(table).where('''siteName = "福建省公共资源交易中心"''').find() dict_page_info = [url for url in urls if url is not None] print "********-->", len (dict_page_info) for str_urls in dict_page_info: dict_post = str_urls # print isinstance(dict_post,dict) # dict_post = json.loads(dict_post) # for k,v in dict_post.items(): # print k,v # dd = dict_post.get("detailUrl") dict_post["tf"]="1" dict_post["irepeat"]="1" dict_post["service"]="勘察设计" dict_post["industry"]="industry" dic = handle_post (dict_post) try: db.table (result1).add (dic) except Exception as e: print e # for k,v in dict_post.items(): # print k,v # detailUrl = dict_post.get ("detailUrl") if __name__ == "__main__": pass

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/xai/brain/wordbase/verbs/_frizzing.py

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cash2one/xai

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from xai.brain.wordbase.verbs._frizz import _FRIZZ #calss header class _FRIZZING(_FRIZZ, ): def __init__(self,): _FRIZZ.__init__(self) self.name = "FRIZZING" self.specie = 'verbs' self.basic = "frizz" self.jsondata = {}

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

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/Medium/findRedundantConnection.py

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[]

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Abdelhamid-bouzid/problem-Sovling-

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class Solution: def findRedundantConnection(self, edges: List[List[int]]) -> List[int]: self.g = collections.defaultdict(list) for u,v in edges: self.g[u].append(v) self.g[v].append(u) for u,v in edges[::-1]: self.vis=set() self.dfs(1,u,v) if len(self.vis)==len(self.g): return [u,v] def dfs(self,node,u,v): if node in self.vis: return True self.vis.add(node) for adj in self.g[node]: if [node,adj]!=[u,v] and [adj,node]!=[u,v]: self.dfs(adj,u,v)

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Abdelhamid-bouzid.noreply@github.com

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/fip_collab/2016_09_26_polycrystal_FIP_allpoint/plot_evd.py

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[]

no_license

earthexploration/MKS-Experimentation

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# -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt import matplotlib.cm as cm from constants import const import h5py import sys def pltevd(H): C = const() """define the colors of interest""" n_col = len(C['sid']) colormat = cm.rainbow(np.linspace(0, 1, n_col)) f_reg = h5py.File("regression_results_L%s.hdf5" % H, 'r') fig = plt.figure(figsize=[5.5, 4]) f = h5py.File("responses.hdf5", 'r') for ii in xrange(n_col): sid = C['sid'][ii] """get the x, y data for plotting the evd""" x = f.get('evd_%s' % sid)[...] if ii == 0: xmin = np.log(x).min() xmax = np.log(x).max() else: xmin = np.min([xmin, np.log(x).min()]) xmax = np.max([xmax, np.log(x).max()]) y = (np.arange(x.size)+1)/np.float32(x.size) """plot the original data and the fits""" # plt.plot(np.log(x), y, '.', markersize=2, color=colormat[ii, :], # label=sid) plt.plot(np.log(x), y, '-', color=colormat[ii, :], label=sid) f.close() f_reg.close() plt.xlabel("ln(FIP)") plt.ylabel("CDF") plt.legend(loc='lower right', shadow=True, fontsize='small') rng = np.abs(xmax - xmin) xmin += -0.01*rng xmax += 0.01*rng plt.xlim((xmin, xmax)) ymin = y.min() ymax = y.max() rng = ymax - ymin ymin = 0 ymax += 0.01*rng plt.ylim((ymin, ymax)) plt.tight_layout() fig_name = 'evd_orig_L%s.png' % H fig.canvas.set_window_title(fig_name) plt.savefig(fig_name) if __name__ == '__main__': sid = sys.argv[1] pltevd(sid) plt.show()

[ "noahhpaulson@gmail.com" ]

noahhpaulson@gmail.com

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robertokcanale/ros_workspace_handsnet

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#!/usr/bin/env python3 import rospy #import tensorflow as tf from PIL import Image from sensor_msgs.msg import Image as TactileImage from handsnet_time.msg import Image_array import numpy as np #I can make a message of this type #sensor_msgs/Image[] data if __name__ == '__main__': pub = rospy.Publisher('tactile_image_array', Image_array, queue_size=10) rospy.init_node('tactile_image_publisher5') rate = rospy.Rate(1000) # 1hz contacts = Image_array() #print(contacts.tactile_image[1]) while not rospy.is_shutdown(): for i in range(0, 4): im_name='src/handsnet_time/data/'+str(i+1)+'.png' #PIL image im = Image.open(im_name) im = im.convert('RGB') im = im.resize((68,100), Image.ANTIALIAS) #sensor_msgs.msg.Image contacts.tactile_image[i] = TactileImage() contacts.tactile_image[i].header.stamp = rospy.Time.now() contacts.tactile_image[i].height = im.height contacts.tactile_image[i].width = im.width contacts.tactile_image[i].encoding = "rgb8" contacts.tactile_image[i].is_bigendian = False contacts.tactile_image[i].step = 3 * im.width # Full row length in bytes contacts.tactile_image[i].data = np.array(im).tobytes() pub.publish(contacts) rate.sleep() #also, I need something of the kind PIL.Image.Image #tested it, and it wants a PIL image, don't forget to place the GPU stuff #model = tf.keras.models.load_model('src/handsnet/data/HandsNet_2_97.h5') #input_arr= tf.keras.preprocessing.image.img_to_array(im) #input_arr = np.array([input_arr]) #predictions = model.predict(input_arr) #print(predictions)

[ "robyrugby95@gmail.com" ]

robyrugby95@gmail.com

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/old/past1_E.py

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[]

no_license

kussy-tessy/atcoder

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# print('input >>') N, Q = map(int,(input().split())) follows = [[0] * N for _ in range(N)] logs = [] for _ in range(Q): logs.append(input()) for log in logs: log_info = log.split() person = int(log_info[1])-1 if log_info[0] == '1': follows[person][int(log_info[2])-1] = 1 elif log_info[0] == '2': for i in range(N): if follows[i][person] == 1: follows[person][i] = 1 elif log_info[0] == '3': xs = [] for i in range(N): if follows[person][i] == 1: xs.append(i) for x in xs: for j in range(N): if follows[x][j] == 1: follows[person][j] = 1 # print('-----output-----') for i, fs in enumerate(follows): for j, f in enumerate(fs): if f == 1 and i != j: print('Y', end='') else: print('N', end='') print()

[ "teppei04285000@gmail.com" ]

teppei04285000@gmail.com

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2021-01-10T13:50:25.353394

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""" Testlldb Python SBFrame APIs IsInlined() and GetFunctionName(). """ import os, time import re import unittest2 import lldb, lldbutil from lldbtest import * class InlinedFrameAPITestCase(TestBase): mydir = TestBase.compute_mydir(__file__) @skipUnlessDarwin @python_api_test @dsym_test def test_stop_at_outer_inline_with_dsym(self): """Exercise SBFrame.IsInlined() and SBFrame.GetFunctionName().""" self.buildDsym() self.do_stop_at_outer_inline() @python_api_test @dwarf_test def test_stop_at_outer_inline_with_dwarf(self): """Exercise SBFrame.IsInlined() and SBFrame.GetFunctionName().""" self.buildDwarf() self.do_stop_at_outer_inline() def setUp(self): # Call super's setUp(). TestBase.setUp(self) # Find the line number to of function 'c'. self.source = 'inlines.c' self.first_stop = line_number(self.source, '// This should correspond to the first break stop.') self.second_stop = line_number(self.source, '// This should correspond to the second break stop.') def do_stop_at_outer_inline(self): """Exercise SBFrame.IsInlined() and SBFrame.GetFunctionName().""" exe = os.path.join(os.getcwd(), "a.out") # Create a target by the debugger. target = self.dbg.CreateTarget(exe) self.assertTrue(target, VALID_TARGET) # Now create a breakpoint on main.c by the name of 'inner_inline'. breakpoint = target.BreakpointCreateByName('inner_inline', 'a.out') #print "breakpoint:", breakpoint self.assertTrue(breakpoint and breakpoint.GetNumLocations() > 1, VALID_BREAKPOINT) # Now launch the process, and do not stop at the entry point. process = target.LaunchSimple (None, None, self.get_process_working_directory()) process = target.GetProcess() self.assertTrue(process.GetState() == lldb.eStateStopped, PROCESS_STOPPED) import lldbutil stack_traces1 = lldbutil.print_stacktraces(process, string_buffer=True) if self.TraceOn(): print "Full stack traces when first stopped on the breakpoint 'inner_inline':" print stack_traces1 # The first breakpoint should correspond to an inlined call frame. # If it's an inlined call frame, expect to find, in the stack trace, # that there is a frame which corresponds to the following call site: # # outer_inline (argc); # frame0 = process.GetThreadAtIndex(0).GetFrameAtIndex(0) if frame0.IsInlined(): filename = frame0.GetLineEntry().GetFileSpec().GetFilename() self.assertTrue(filename == self.source) self.expect(stack_traces1, "First stop at %s:%d" % (self.source, self.first_stop), exe=False, substrs = ['%s:%d' % (self.source, self.first_stop)]) # Expect to break again for the second time. process.Continue() self.assertTrue(process.GetState() == lldb.eStateStopped, PROCESS_STOPPED) stack_traces2 = lldbutil.print_stacktraces(process, string_buffer=True) if self.TraceOn(): print "Full stack traces when stopped on the breakpoint 'inner_inline' for the second time:" print stack_traces2 self.expect(stack_traces2, "Second stop at %s:%d" % (self.source, self.second_stop), exe=False, substrs = ['%s:%d' % (self.source, self.second_stop)]) if __name__ == '__main__': import atexit lldb.SBDebugger.Initialize() atexit.register(lambda: lldb.SBDebugger.Terminate()) unittest2.main()

[ "brian.cain@gmail.com" ]

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/candidates/urls.py

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# -*- coding: utf-8 -*- from django.conf.urls import patterns, url from candidates import views urlpatterns = patterns('', url(r'^$', views.counties, {"ad": 8}), url(r'^(?P<ad>\d+)/(?P<county>\S+)/(?P<constituency>\d+)/$', views.district, name='district'), url(r'^(?P<ad>\d+)/(?P<county>\S+)/$', views.districts, name='districts'), url(r'^(?P<ad>\d+)/$', views.counties, name='counties'), url(r'^political_contributions/(?P<uid>\S+)/(?P<ad>\d+)/$', views.political_contributions, name='political_contributions'), )

[ "twly.tw@gmail.com" ]

twly.tw@gmail.com

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/Math/Python/SortedPermutationRank.py

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Zimmermann25/InterviewBit

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class Solution: import math # @param A : string # @return an integer def findRank(self, A): if len(A) < 1:return 0 if len(A) ==1:return 1 counter = 0 # False oznacza,ze ta litera nie zostala jeszcze wykorzystana charArr = [[A[i], False] for i in range(len(A))] charArr.sort() #print("charArr: ", charArr) for i in range(len(A)): curChar = A[i] j = 0 # do pętli while i szukania mniejszych smallCounter = 0 while j < len(charArr): # tutaj uwzględnić etykietę TrueFalse if charArr[j][0] >= curChar : charArr[j][1] = True #oznacz tą literę jako użytą break if charArr[j][1]==False: smallCounter +=1 j+=1 #print("fact: ", math.factorial(len(A)-j)) #print("smallCounter: ", smallCounter) counter += (smallCounter * math.factorial(len(A)-i-1) ) #print("counter: ", counter, " j: ", j, "i: ", i, "f: ", math.factorial(len(A)-i-1)) return (counter+1) % 1000003

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import sys from bisect import bisect_left,bisect_right sys.setrecursionlimit(10**9) INF=10**18 def input(): return sys.stdin.readline().rstrip() def main(): N,M=map(int,input().split()) A=sorted(list(map(int,input().split()))) S=[0]*(N+1) for i in range(N): S[i+1]=S[i]+A[i] def nibutan(ok,ng): while abs(ok-ng) > 1: mid = (ok + ng) // 2 if solve(mid): ok = mid else: ng = mid return ok def solve(mid): c=0 for i in range(N): c+=N-bisect_left(A,mid-A[i]) if c>=M: return True else: return False x=nibutan(0,10**11) ans=0 count=0 for i in range(N): b_l=bisect_left(A,x-A[i]) count+=(N-b_l) ans+=S[N]-S[b_l]+A[i]*(N-b_l) if count==M: print(ans) else: print(ans+(M-count)*x) if __name__ == '__main__': main()

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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: v1.7.4 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from pprint import pformat from six import iteritems import re class V1QuobyteVolumeSource(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ def __init__(self, group=None, read_only=None, registry=None, user=None, volume=None): """ V1QuobyteVolumeSource - a model defined in Swagger :param dict swaggerTypes: The key is attribute name and the value is attribute type. :param dict attributeMap: The key is attribute name and the value is json key in definition. """ self.swagger_types = { 'group': 'str', 'read_only': 'bool', 'registry': 'str', 'user': 'str', 'volume': 'str' } self.attribute_map = { 'group': 'group', 'read_only': 'readOnly', 'registry': 'registry', 'user': 'user', 'volume': 'volume' } self._group = group self._read_only = read_only self._registry = registry self._user = user self._volume = volume @property def group(self): """ Gets the group of this V1QuobyteVolumeSource. Group to map volume access to Default is no group :return: The group of this V1QuobyteVolumeSource. :rtype: str """ return self._group @group.setter def group(self, group): """ Sets the group of this V1QuobyteVolumeSource. Group to map volume access to Default is no group :param group: The group of this V1QuobyteVolumeSource. :type: str """ self._group = group @property def read_only(self): """ Gets the read_only of this V1QuobyteVolumeSource. ReadOnly here will force the Quobyte volume to be mounted with read-only permissions. Defaults to false. :return: The read_only of this V1QuobyteVolumeSource. :rtype: bool """ return self._read_only @read_only.setter def read_only(self, read_only): """ Sets the read_only of this V1QuobyteVolumeSource. ReadOnly here will force the Quobyte volume to be mounted with read-only permissions. Defaults to false. :param read_only: The read_only of this V1QuobyteVolumeSource. :type: bool """ self._read_only = read_only @property def registry(self): """ Gets the registry of this V1QuobyteVolumeSource. Registry represents a single or multiple Quobyte Registry services specified as a string as host:port pair (multiple entries are separated with commas) which acts as the central registry for volumes :return: The registry of this V1QuobyteVolumeSource. :rtype: str """ return self._registry @registry.setter def registry(self, registry): """ Sets the registry of this V1QuobyteVolumeSource. Registry represents a single or multiple Quobyte Registry services specified as a string as host:port pair (multiple entries are separated with commas) which acts as the central registry for volumes :param registry: The registry of this V1QuobyteVolumeSource. :type: str """ if registry is None: raise ValueError("Invalid value for `registry`, must not be `None`") self._registry = registry @property def user(self): """ Gets the user of this V1QuobyteVolumeSource. User to map volume access to Defaults to serivceaccount user :return: The user of this V1QuobyteVolumeSource. :rtype: str """ return self._user @user.setter def user(self, user): """ Sets the user of this V1QuobyteVolumeSource. User to map volume access to Defaults to serivceaccount user :param user: The user of this V1QuobyteVolumeSource. :type: str """ self._user = user @property def volume(self): """ Gets the volume of this V1QuobyteVolumeSource. Volume is a string that references an already created Quobyte volume by name. :return: The volume of this V1QuobyteVolumeSource. :rtype: str """ return self._volume @volume.setter def volume(self, volume): """ Sets the volume of this V1QuobyteVolumeSource. Volume is a string that references an already created Quobyte volume by name. :param volume: The volume of this V1QuobyteVolumeSource. :type: str """ if volume is None: raise ValueError("Invalid value for `volume`, must not be `None`") self._volume = volume def to_dict(self): """ Returns the model properties as a dict """ result = {} for attr, _ in iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """ Returns the string representation of the model """ return pformat(self.to_dict()) def __repr__(self): """ For `print` and `pprint` """ return self.to_str() def __eq__(self, other): """ Returns true if both objects are equal """ if not isinstance(other, V1QuobyteVolumeSource): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """ Returns true if both objects are not equal """ return not self == other

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olari@784f435df7a4.ant.amazon.com

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/ryu/lib/xflow/netflow.py

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refs/heads/master

2023-09-05T06:37:21.991029

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# Copyright (C) 2013 Nippon Telegraph and Telephone Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or # implied. # See the License for the specific language governing permissions and # limitations under the License. import struct NETFLOW_V1 = 0x01 NETFLOW_V5 = 0x05 NETFLOW_V6 = 0x06 NETFLOW_V7 = 0x07 NETFLOW_V8 = 0x08 NETFLOW_V9 = 0x09 class NetFlow(object): _PACK_STR = '!H' _NETFLOW_VERSIONS = {} @staticmethod def register_netflow_version(version): def _register_netflow_version(cls): NetFlow._NETFLOW_VERSIONS[version] = cls return cls return _register_netflow_version def __init__(self): super(NetFlow, self).__init__() @classmethod def parser(cls, buf): (version,) = struct.unpack_from(cls._PACK_STR, buf) cls_ = cls._NETFLOW_VERSIONS.get(version, None) if cls_: return cls_.parser(buf) else: return None @NetFlow.register_netflow_version(NETFLOW_V5) class NetFlowV5(object): _PACK_STR = '!HHIIIIBBH' _MIN_LEN = struct.calcsize(_PACK_STR) def __init__(self, version, count, sys_uptime, unix_secs, unix_nsecs, flow_sequence, engine_type, engine_id, sampling_interval, flows=None): self.version = version self.count = count self.sys_uptime = sys_uptime self.unix_secs = unix_secs self.unix_nsecs = unix_nsecs self.flow_sequence = flow_sequence self.engine_type = engine_type self.engine_id = engine_id self.sampling_interval = sampling_interval @classmethod def parser(cls, buf): (version, count, sys_uptime, unix_secs, unix_nsecs, flow_sequence, engine_type, engine_id, sampling_interval) = \ struct.unpack_from(cls._PACK_STR, buf) msg = cls(version, count, sys_uptime, unix_secs, unix_nsecs, flow_sequence, engine_type, engine_id, sampling_interval) offset = cls._MIN_LEN msg.flows = [] while len(buf) > offset: f = NetFlowV5Flow.parser(buf, offset) offset += NetFlowV5Flow._MIN_LEN msg.flows.append(f) return msg class NetFlowV5Flow(object): _PACK_STR = '!IIIHHIIIIHHxBBBHHBB2x' _MIN_LEN = struct.calcsize(_PACK_STR) def __init__(self, srcaddr, dstaddr, nexthop, input_, output, dpkts, doctets, first, last, srcport, dstport, tcp_flags, prot, tos, src_as, dst_as, src_mask, dst_mask): self.srcaddr = srcaddr self.dstaddr = dstaddr self.nexthop = nexthop self.input = input_ self.output = output self.dpkts = dpkts self.doctets = doctets self.first = first self.last = last self.srcport = srcport self.dstport = dstport self.tcp_flags = tcp_flags self.prot = prot self.tos = tos self.src_as = src_as self.dst_as = dst_as self.src_mask = src_mask self.dst_mask = dst_mask @classmethod def parser(cls, buf, offset): (srcaddr, dstaddr, nexthop, input_, output, dpkts, doctets, first, last, srcport, dstport, tcp_flags, prot, tos, src_as, dst_as, src_mask, dst_mask) = struct.unpack_from( cls._PACK_STR, buf, offset) msg = cls(srcaddr, dstaddr, nexthop, input_, output, dpkts, doctets, first, last, srcport, dstport, tcp_flags, prot, tos, src_as, dst_as, src_mask, dst_mask) return msg

[ "fujita.tomonori@lab.ntt.co.jp" ]

fujita.tomonori@lab.ntt.co.jp

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yuseungwoo/baekjoon

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# coding-utf-8 import sys count = sys.stdin.readline().rstrip() count = int(count) for _ in range(count): numbers = sys.stdin.readline().rstrip().split() number = sum(list(map(int, numbers))) number = str(number) + '\n' sys.stdout.write(number)

[ "blacksangi14@naver.com" ]

blacksangi14@naver.com

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PMiskew/codingbat_solutions_python

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''' QUESTION: Given an int n, return True if it is within 10 of 100 or 200. Note: abs(num) computes the absolute value of a number. near_hundred(93) → True near_hundred(90) → True near_hundred(89) → False ''' def near_hundred(n): #Approach 1: ''' if (n < 100): if 100 - n <= 10: return True return False elif (n > 100 and n < 190): if n - 100 <= 10: return True return False elif (n <= 200 and n > 110): if 200 - n <= 10: return True return False elif (n > 200): if n - 200 <= 10: return True return False #''' #Approach 2: #Here we use the abs function so we don't have to check the value relative #to 100 or 200 to decide if it is 100 - n or n - 100. ''' if abs(n - 100) <= 10 or abs(n - 200) <= 10: return True return False #'''

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2023-03-10T23:10:31.392558

2021-02-25T15:04:36

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from __future__ import absolute_import, division, print_function __metaclass__ = type import pytest from ansible_collections.sensu.sensu_go.plugins.module_utils import ( errors, utils, ) from ansible_collections.sensu.sensu_go.plugins.modules import role_binding_info from .common.utils import ( AnsibleExitJson, AnsibleFailJson, ModuleTestCase, set_module_args, ) class TestRoleBindingInfo(ModuleTestCase): def test_get_all_role_bindings(self, mocker): get_mock = mocker.patch.object(utils, "get") get_mock.return_value = [1, 2, 3] set_module_args(namespace="my") with pytest.raises(AnsibleExitJson) as context: role_binding_info.main() _client, path = get_mock.call_args[0] assert path == "/api/core/v2/namespaces/my/rolebindings" assert context.value.args[0]["objects"] == [1, 2, 3] def test_get_single_role_binding(self, mocker): get_mock = mocker.patch.object(utils, "get") get_mock.return_value = 1 set_module_args(name="test-role-binding") with pytest.raises(AnsibleExitJson) as context: role_binding_info.main() _client, path = get_mock.call_args[0] assert path == "/api/core/v2/namespaces/default/rolebindings/test-role-binding" assert context.value.args[0]["objects"] == [1] def test_missing_single_role_binding(self, mocker): get_mock = mocker.patch.object(utils, "get") get_mock.return_value = None set_module_args(name="sample-role-binding") with pytest.raises(AnsibleExitJson) as context: role_binding_info.main() assert context.value.args[0]["objects"] == [] def test_failure(self, mocker): get_mock = mocker.patch.object(utils, "get") get_mock.side_effect = errors.Error("Bad error") set_module_args(name="sample-role-binding") with pytest.raises(AnsibleFailJson): role_binding_info.main()

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2022-04-21T19:14:03.117606

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from typing import List import keras from tokenizer_tools.tagset.NER.BILUO import BILUOSequenceEncoderDecoder from tokenizer_tools.tagset.offset.sequence import Sequence from tensorflow.contrib import predictor from tokenizer_tools.tagset.exceptions import TagSetDecodeError decoder = BILUOSequenceEncoderDecoder() class Inference(object): def __init__(self, model_path): # load model self.model_dir = model_path self.predict_fn = predictor.from_saved_model(model_path) def infer(self, input_text: str): infer_result = self._infer(input_text) return infer_result[0] def batch_infer(self, input_text: List[str]): return self._infer(input_text) def _infer(self, input_text): if isinstance(input_text, str): input_list = [input_text] else: input_list = input_text raw_sequences = [[i for i in text] for text in input_list] sentence = keras.preprocessing.sequence.pad_sequences( raw_sequences, dtype='object', padding='post', truncating='post', value=['<pad>'] ).tolist() # TODO: batch infer will cause padding, which will maybe cause decoder to offset bug. # TODO: feature translate should out of this main program for better compatible with keras and estimator model input_feature = { 'words': [[i for i in text] for text in sentence], 'words_len': [len(text) for text in raw_sequences], } # print(input_feature) predictions = self.predict_fn(input_feature) tags_list = predictions['tags'] infer_result = [] for raw_input_text, raw_text, normalized_text, tags in zip(input_list, raw_sequences, sentence, tags_list): # decode Unicode tags_seq = [i.decode() for i in tags] # print(tags_seq) # BILUO to offset failed = False try: seq = decoder.to_offset(tags_seq, raw_text) except TagSetDecodeError as e: print(e) # invalid tag sequence will raise exception # so return a empty result seq = Sequence(input_text) failed = True infer_result.append((raw_input_text, seq, tags_seq, failed)) return infer_result

[ "u1mail2me@gmail.com" ]

u1mail2me@gmail.com

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/imb_manager/asgi.py

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rosoba/imb_manager

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refs/heads/master

2023-01-31T04:16:56.526477

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

[ "rostislav.chudoba@rwth-aachen.de" ]

rostislav.chudoba@rwth-aachen.de

b1ad6df8c1fd9c67554b4f8f8f19ab2cc90e7283

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DemonDamon/mask-detection-based-on-tf2odapi

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refs/heads/main

2023-05-13T05:05:44.534885

2021-06-08T05:56:09

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# Copyright 2021 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """IOU Metrics used for semantic segmentation models.""" import numpy as np import tensorflow as tf class PerClassIoU(tf.keras.metrics.Metric): """Computes the per-class Intersection-Over-Union metric. Mean Intersection-Over-Union is a common evaluation metric for semantic image segmentation, which first computes the IOU for each semantic class. IOU is defined as follows: IOU = true_positive / (true_positive + false_positive + false_negative). The predictions are accumulated in a confusion matrix, weighted by `sample_weight` and the metric is then calculated from it. If `sample_weight` is `None`, weights default to 1. Use `sample_weight` of 0 to mask values. Example: >>> # cm = [[1, 1], >>> # [1, 1]] >>> # sum_row = [2, 2], sum_col = [2, 2], true_positives = [1, 1] >>> # iou = true_positives / (sum_row + sum_col - true_positives)) >>> # result = [(1 / (2 + 2 - 1), 1 / (2 + 2 - 1)] = 0.33 >>> m = tf.keras.metrics.MeanIoU(num_classes=2) >>> m.update_state([0, 0, 1, 1], [0, 1, 0, 1]) >>> m.result().numpy() [0.33333334, 0.33333334] """ def __init__(self, num_classes, name=None, dtype=None): """Initializes `PerClassIoU`. Args: num_classes: The possible number of labels the prediction task can have. This value must be provided, since a confusion matrix of dimension = [num_classes, num_classes] will be allocated. name: (Optional) string name of the metric instance. dtype: (Optional) data type of the metric result. """ super(PerClassIoU, self).__init__(name=name, dtype=dtype) self.num_classes = num_classes # Variable to accumulate the predictions in the confusion matrix. self.total_cm = self.add_weight( 'total_confusion_matrix', shape=(num_classes, num_classes), initializer=tf.compat.v1.zeros_initializer) def update_state(self, y_true, y_pred, sample_weight=None): """Accumulates the confusion matrix statistics. Args: y_true: The ground truth values. y_pred: The predicted values. sample_weight: Optional weighting of each example. Defaults to 1. Can be a `Tensor` whose rank is either 0, or the same rank as `y_true`, and must be broadcastable to `y_true`. Returns: IOU per class. """ y_true = tf.cast(y_true, self._dtype) y_pred = tf.cast(y_pred, self._dtype) # Flatten the input if its rank > 1. if y_pred.shape.ndims > 1: y_pred = tf.reshape(y_pred, [-1]) if y_true.shape.ndims > 1: y_true = tf.reshape(y_true, [-1]) if sample_weight is not None: sample_weight = tf.cast(sample_weight, self._dtype) if sample_weight.shape.ndims > 1: sample_weight = tf.reshape(sample_weight, [-1]) # Accumulate the prediction to current confusion matrix. current_cm = tf.math.confusion_matrix( y_true, y_pred, self.num_classes, weights=sample_weight, dtype=self._dtype) return self.total_cm.assign_add(current_cm) def result(self): """Compute the mean intersection-over-union via the confusion matrix.""" sum_over_row = tf.cast( tf.reduce_sum(self.total_cm, axis=0), dtype=self._dtype) sum_over_col = tf.cast( tf.reduce_sum(self.total_cm, axis=1), dtype=self._dtype) true_positives = tf.cast( tf.linalg.tensor_diag_part(self.total_cm), dtype=self._dtype) # sum_over_row + sum_over_col = # 2 * true_positives + false_positives + false_negatives. denominator = sum_over_row + sum_over_col - true_positives return tf.math.divide_no_nan(true_positives, denominator) def reset_states(self): tf.keras.backend.set_value( self.total_cm, np.zeros((self.num_classes, self.num_classes))) def get_config(self): config = {'num_classes': self.num_classes} base_config = super(PerClassIoU, self).get_config() return dict(list(base_config.items()) + list(config.items()))

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DemonDamon.noreply@github.com

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[]

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willook/ape-x2

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from .entities import Commander, Subordinate, Squad class Bootcamp: def __init__(self, grid): self.grid = grid def recruit(self, name, number_of_subordinates=1): squad = Squad(self.grid, name) squad.assign(Commander(self.grid)) for index in range(number_of_subordinates): squad.assign(Subordinate(self.grid, identifier=index)) return squad

[ "you@example.com" ]

you@example.com

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/cconf/migrations/0001_initial.py

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[]

no_license

InformatykaNaStart/staszic-sio2

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refs/heads/master

2022-06-29T11:09:28.765166

2022-06-13T21:56:19

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# -*- coding: utf-8 -*- # Generated by Django 1.9.13 on 2019-10-05 08:58 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('contests', '0005_submission_auto_rejudges'), ] operations = [ migrations.CreateModel( name='CConfiguration', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('compiler', models.CharField(choices=[(b'GCC 4.6 (32 bits)', b'compiler-gcc.4_6_3'), (b'GCC 4.8 (32 bits)', b'compiler-gcc.4_8_2'), (b'GCC 8.3 (32 bits)', b'compiler-gcc.8_3_0-i386'), (b'GCC 8.3 (64 bits)', b'compiler-gcc.8_3_0-amd64')], default=b'compiler-gcc.4_8_2', max_length=128)), ('cflags', models.CharField(default=b'-std=gnuc99 -static -O2 -s -lm', max_length=256)), ('cxxflags', models.CharField(default=b'-std=c++11 -static -O2 -s -lm', max_length=256)), ('contest', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='contests.Contest')), ], ), ]

[ "hugo@staszic.waw.pl" ]

hugo@staszic.waw.pl

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/codes/CodeJamCrawler/16_0_3/David.Liu/q3.py

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[]

no_license

DaHuO/Supergraph

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2021-06-14T16:07:52.405091

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import math n=32 x=500 outf=open("q3large.out","w") def factor(num): r=500 for i in range(2, r): if num%i==0: return i return -1 def makelist(n): lst=[] l=len(n) for i in range(2, 11): num=0 for j in range(0, l): num+=int(n[j])*(i**(l-1-j)) fac=factor(num) if fac==-1: break; lst.append(fac) return lst def f(n, k): if n==0: l=makelist(k+"1") if len(l)==9: outf.write(k+"1") for p in l: outf.write(" "+str(p)) outf.write("\n") global x x=x-1 print(x) if x==0: outf.close() exit() else: f(n-1, k+"0") f(n-1, k+"1") f(n-2, "1")

[ "[dhuo@tcd.ie]" ]

[dhuo@tcd.ie]

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/authentication/urls.py

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[]

no_license

Imraj423/twitterclone

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2021-01-15T02:07:06.684002

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from django.urls import path from . import views urlpatterns = [ path('signup/', views.signup, name='signup'), path('login/', views.login_view, name='login'), path('logout/', views.logoutUser, name='logout'), ]

[ "dahqniss@gmail.com" ]

dahqniss@gmail.com

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/variable_examples.py

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[]

no_license

feleHaile/20190225KAPL

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refs/heads/master

2020-05-15T22:31:51.881632

2019-02-28T20:11:29

null

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null

UTF-8

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py

#!/usr/bin/env python x = 5 print(x) y = x things = [1, 2, 3] t = things print(t) t.append(42) print(things) print(t is things) print(id(t), id(things)) print(type(x), type(t), type(type), type('spam')) t = 42 print(type(t)) t = "amazon" print(type(t)) m = None print(m)

[ "jstrickler@gmail.com" ]

jstrickler@gmail.com

a8cfde36a731a0cfeb460159e2cc73d43db7c46e

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/case/Demo/test_global_init.py

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[]

no_license

cming091/autotest

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0f6fe31a27de9bcf0697c28574b97555fe36d1e1

refs/heads/master

2023-06-02T18:22:24.971786

2021-06-21T08:52:47

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0

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UTF-8

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# coding=utf-8 import pytest import allure from case.base import TestBase @allure.feature('测试初始化全局数据') @allure.link(url="https://pages/viewpage.action?pageId=84191585", name="测试用例") @pytest.mark.usefixtures("init_module_data") @pytest.mark.usefixtures("init_global_data") class TestGlobalDataInit(TestBase): """test global data init""" @allure.story("1.第一步") def test_step_one(self, request): print('test step one...done') def test_step_two(self, request): print('test step two...done') assert 1 == 2 def test_step_three(self, request): print('test step three... done')

[ "349152234@qq.com" ]

349152234@qq.com

eb5b33dc0fc012d521bf71c982068b71534887b6

a6e4a6f0a73d24a6ba957277899adbd9b84bd594

/sdk/python/pulumi_azure_native/sql/get_database_vulnerability_assessment.py

a6aa84ede40a8f73706d9941a81575ccf9b1a66e

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

permissive

MisinformedDNA/pulumi-azure-native

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refs/heads/master

2023-03-24T22:02:03.842935

2021-03-08T21:16:19

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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union from .. import _utilities, _tables from . import outputs __all__ = [ 'GetDatabaseVulnerabilityAssessmentResult', 'AwaitableGetDatabaseVulnerabilityAssessmentResult', 'get_database_vulnerability_assessment', ] @pulumi.output_type class GetDatabaseVulnerabilityAssessmentResult: """ A database vulnerability assessment. """ def __init__(__self__, id=None, name=None, recurring_scans=None, storage_account_access_key=None, storage_container_path=None, storage_container_sas_key=None, type=None): if id and not isinstance(id, str): raise TypeError("Expected argument 'id' to be a str") pulumi.set(__self__, "id", id) if name and not isinstance(name, str): raise TypeError("Expected argument 'name' to be a str") pulumi.set(__self__, "name", name) if recurring_scans and not isinstance(recurring_scans, dict): raise TypeError("Expected argument 'recurring_scans' to be a dict") pulumi.set(__self__, "recurring_scans", recurring_scans) if storage_account_access_key and not isinstance(storage_account_access_key, str): raise TypeError("Expected argument 'storage_account_access_key' to be a str") pulumi.set(__self__, "storage_account_access_key", storage_account_access_key) if storage_container_path and not isinstance(storage_container_path, str): raise TypeError("Expected argument 'storage_container_path' to be a str") pulumi.set(__self__, "storage_container_path", storage_container_path) if storage_container_sas_key and not isinstance(storage_container_sas_key, str): raise TypeError("Expected argument 'storage_container_sas_key' to be a str") pulumi.set(__self__, "storage_container_sas_key", storage_container_sas_key) if type and not isinstance(type, str): raise TypeError("Expected argument 'type' to be a str") pulumi.set(__self__, "type", type) @property @pulumi.getter def id(self) -> str: """ Resource ID. """ return pulumi.get(self, "id") @property @pulumi.getter def name(self) -> str: """ Resource name. """ return pulumi.get(self, "name") @property @pulumi.getter(name="recurringScans") def recurring_scans(self) -> Optional['outputs.VulnerabilityAssessmentRecurringScansPropertiesResponse']: """ The recurring scans settings """ return pulumi.get(self, "recurring_scans") @property @pulumi.getter(name="storageAccountAccessKey") def storage_account_access_key(self) -> Optional[str]: """ Specifies the identifier key of the storage account for vulnerability assessment scan results. If 'StorageContainerSasKey' isn't specified, storageAccountAccessKey is required. """ return pulumi.get(self, "storage_account_access_key") @property @pulumi.getter(name="storageContainerPath") def storage_container_path(self) -> Optional[str]: """ A blob storage container path to hold the scan results (e.g. https://myStorage.blob.core.windows.net/VaScans/). It is required if server level vulnerability assessment policy doesn't set """ return pulumi.get(self, "storage_container_path") @property @pulumi.getter(name="storageContainerSasKey") def storage_container_sas_key(self) -> Optional[str]: """ A shared access signature (SAS Key) that has write access to the blob container specified in 'storageContainerPath' parameter. If 'storageAccountAccessKey' isn't specified, StorageContainerSasKey is required. """ return pulumi.get(self, "storage_container_sas_key") @property @pulumi.getter def type(self) -> str: """ Resource type. """ return pulumi.get(self, "type") class AwaitableGetDatabaseVulnerabilityAssessmentResult(GetDatabaseVulnerabilityAssessmentResult): # pylint: disable=using-constant-test def __await__(self): if False: yield self return GetDatabaseVulnerabilityAssessmentResult( id=self.id, name=self.name, recurring_scans=self.recurring_scans, storage_account_access_key=self.storage_account_access_key, storage_container_path=self.storage_container_path, storage_container_sas_key=self.storage_container_sas_key, type=self.type) def get_database_vulnerability_assessment(database_name: Optional[str] = None, resource_group_name: Optional[str] = None, server_name: Optional[str] = None, vulnerability_assessment_name: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetDatabaseVulnerabilityAssessmentResult: """ A database vulnerability assessment. API Version: 2020-08-01-preview. :param str database_name: The name of the database for which the vulnerability assessment is defined. :param str resource_group_name: The name of the resource group that contains the resource. You can obtain this value from the Azure Resource Manager API or the portal. :param str server_name: The name of the server. :param str vulnerability_assessment_name: The name of the vulnerability assessment. """ __args__ = dict() __args__['databaseName'] = database_name __args__['resourceGroupName'] = resource_group_name __args__['serverName'] = server_name __args__['vulnerabilityAssessmentName'] = vulnerability_assessment_name if opts is None: opts = pulumi.InvokeOptions() if opts.version is None: opts.version = _utilities.get_version() __ret__ = pulumi.runtime.invoke('azure-native:sql:getDatabaseVulnerabilityAssessment', __args__, opts=opts, typ=GetDatabaseVulnerabilityAssessmentResult).value return AwaitableGetDatabaseVulnerabilityAssessmentResult( id=__ret__.id, name=__ret__.name, recurring_scans=__ret__.recurring_scans, storage_account_access_key=__ret__.storage_account_access_key, storage_container_path=__ret__.storage_container_path, storage_container_sas_key=__ret__.storage_container_sas_key, type=__ret__.type)

[ "noreply@github.com" ]

MisinformedDNA.noreply@github.com

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/4th_hw/fourth_homework/settings.py

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[]

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ningpop/LikeLion_7th_HW

6016604427e335250f2e3daeec27f17731612b47

b2c65a0b7a9a928a45cf07b67cd9ed18fb86d799

refs/heads/master

2020-06-30T18:08:54.024617

2019-12-30T16:17:03

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""" Django settings for fourth_homework project. Generated by 'django-admin startproject' using Django 2.2. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os import dj_database_url # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = os.environ.get('SECRET_KEY') # SECURITY WARNING: don't run with debug turned on in production! DEBUG = bool( os.environ.get('DJANGO_DEBUG', False)) ALLOWED_HOSTS = ['*'] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'learning.apps.LearningConfig', 'accounts.apps.AccountsConfig', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'whitenoise.middleware.WhiteNoiseMiddleware', ] ROOT_URLCONF = 'fourth_homework.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ['fourth_homework/templates'], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'fourth_homework.wsgi.application' # Database # https://docs.djangoproject.com/en/2.2/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.2/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.2/howto/static-files/ STATIC_URL = '/static/' STATICFILES_DIRS = [ os.path.join(BASE_DIR, 'learning', 'static') ] STATIC_ROOT = os.path.join(BASE_DIR, 'static') STATIC_URL = '/static/' MEDIA_ROOT = os.path.join(BASE_DIR, 'media') MEDIA_URL = '/media/' db_from_env = dj_database_url.config(conn_max_age=500) DATABASES['default'].update(db_from_env)

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craft1933@naver.com

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/trax/data/tokenizer.py

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[ "Apache-2.0" ]

permissive

google/trax

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refs/heads/master

2023-08-30T22:36:09.651644

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py

# coding=utf-8 # Copyright 2022 The Trax 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. """A simple invertible tokenizer. Converts from a unicode string to a list of tokens (represented as Unicode strings). This tokenizer has the following desirable properties: - It is invertible. - Alphanumeric characters are broken away from non-alphanumeric characters. - A single space between words does not produce an extra token. - The full Unicode punctuation and separator set is recognized. The tokenization algorithm is as follows: 1. Split the text into a list of tokens, splitting at every boundary of an alphanumeric character and a non-alphanumeric character. This produces a list which alternates between "alphanumeric tokens" (strings of alphanumeric characters) and "non-alphanumeric tokens" (strings of non-alphanumeric characters). 2. Remove every token consisting of a single space, unless it is the very first or very last token in the list. These tokens are now implied by the fact that there are two adjacent alphanumeric tokens. e.g. u"Dude - that's so cool." -> [u"Dude", u" - ", u"that", u"'", u"s", u"so", u"cool", u"."] """ import collections import sys import unicodedata from absl import logging import six import tensorflow as tf # This set contains all letter and number characters. _ALPHANUMERIC_CHAR_SET = set( six.unichr(i) for i in range(sys.maxunicode) if (unicodedata.category(six.unichr(i)).startswith("L") or unicodedata.category(six.unichr(i)).startswith("N"))) def encode(text): """Encode a unicode string as a list of tokens. Args: text: a unicode string Returns: a list of tokens as Unicode strings """ if not text: return [] ret = [] token_start = 0 # Classify each character in the input string is_alnum = [c in _ALPHANUMERIC_CHAR_SET for c in text] for pos in range(1, len(text)): if is_alnum[pos] != is_alnum[pos - 1]: token = text[token_start:pos] if token != u" " or token_start == 0: ret.append(token) token_start = pos final_token = text[token_start:] ret.append(final_token) return ret def decode(tokens): """Decode a list of tokens to a unicode string. Args: tokens: a list of Unicode strings Returns: a unicode string """ token_is_alnum = [t[0] in _ALPHANUMERIC_CHAR_SET for t in tokens] ret = [] for i, token in enumerate(tokens): if i > 0 and token_is_alnum[i - 1] and token_is_alnum[i]: ret.append(u" ") ret.append(token) return "".join(ret) def _read_filepattern(filepattern, max_lines=None, split_on_newlines=True): """Reads files matching a wildcard pattern, yielding the contents. Args: filepattern: A wildcard pattern matching one or more files. max_lines: If set, stop reading after reading this many lines. split_on_newlines: A boolean. If true, then split files by lines and strip leading and trailing whitespace from each line. Otherwise, treat each file as a single string. Yields: The contents of the files as lines, if split_on_newlines is True, or the entire contents of each file if False. """ filenames = sorted(tf.io.gfile.glob(filepattern)) lines_read = 0 for filename in filenames: with tf.io.gfile.GFile(filename) as f: if split_on_newlines: for line in f: yield line.strip() lines_read += 1 if max_lines and lines_read >= max_lines: return else: if max_lines: doc = [] for line in f: doc.append(line) lines_read += 1 if max_lines and lines_read >= max_lines: yield "".join(doc) return yield "".join(doc) else: yield f.read() def corpus_token_counts( text_filepattern, corpus_max_lines, split_on_newlines=True): """Read the corpus and compute a dictionary of token counts. Args: text_filepattern: A pattern matching one or more files. corpus_max_lines: An integer; maximum total lines to read. split_on_newlines: A boolean. If true, then split files by lines and strip leading and trailing whitespace from each line. Otherwise, treat each file as a single string. Returns: a dictionary mapping token to count. """ counts = collections.Counter() for doc in _read_filepattern( text_filepattern, max_lines=corpus_max_lines, split_on_newlines=split_on_newlines): counts.update(encode(doc)) return counts def vocab_token_counts(text_filepattern, max_lines): """Read a vocab file and return a dictionary of token counts. Reads a two-column CSV file of tokens and their frequency in a dataset. The tokens are presumed to be generated by encode() or the equivalent. Args: text_filepattern: A pattern matching one or more files. max_lines: An integer; maximum total lines to read. Returns: a dictionary mapping token to count. """ ret = {} for i, line in enumerate( _read_filepattern(text_filepattern, max_lines=max_lines)): if "," not in line: logging.warning("Malformed vocab line #%d '%s'", i, line) continue token, count = line.rsplit(",", 1) ret[token] = int(count) return ret

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copybara-worker@google.com

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/exception/exceptions.py

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[]

no_license

Sugeei/python-practice

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refs/heads/master

2022-12-07T06:34:40.740379

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from bs4 import BeautifulSoup ERROR_MAP = { "200000": "invalid input parameter", "500000": "load data error", "600000": "dump data error", "700000": "data verify error", "800000": "algorithm error" } class UranusError(Exception): def __init__(self, error_code=None, message=''): Exception.__init__(self, '%s%s' % (ERROR_MAP[error_code] if ERROR_MAP.get( error_code) is not None else '', message)) self.error_code = error_code # assertion # https://realpython.com/python-exceptions/ def divide(a, b): try: r = a / b except: raise ValueError else: # no exceptions , run this code print('divide result is %s' % r) finally: # always run this code print("done") # divide(4,0) print('--------') divide(4,1)

[ "215626824@qq.com" ]

215626824@qq.com

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/clients/python/generated/test/test_org_apache_sling_distribution_monitor_distribution_queue_health_check_properties.py

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[ "Apache-2.0" ]

permissive

shinesolutions/swagger-aem-osgi

e9d2385f44bee70e5bbdc0d577e99a9f2525266f

c2f6e076971d2592c1cbd3f70695c679e807396b

refs/heads/master

2022-10-29T13:07:40.422092

2021-04-09T07:46:03

190,217,155

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Apache-2.0

2022-10-05T03:26:20

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UTF-8

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# coding: utf-8 """ 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 Contact: opensource@shinesolutions.com Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import unittest import swaggeraemosgi from swaggeraemosgi.models.org_apache_sling_distribution_monitor_distribution_queue_health_check_properties import OrgApacheSlingDistributionMonitorDistributionQueueHealthCheckProperties # noqa: E501 from swaggeraemosgi.rest import ApiException class TestOrgApacheSlingDistributionMonitorDistributionQueueHealthCheckProperties(unittest.TestCase): """OrgApacheSlingDistributionMonitorDistributionQueueHealthCheckProperties unit test stubs""" def setUp(self): pass def tearDown(self): pass def testOrgApacheSlingDistributionMonitorDistributionQueueHealthCheckProperties(self): """Test OrgApacheSlingDistributionMonitorDistributionQueueHealthCheckProperties""" # FIXME: construct object with mandatory attributes with example values # model = swaggeraemosgi.models.org_apache_sling_distribution_monitor_distribution_queue_health_check_properties.OrgApacheSlingDistributionMonitorDistributionQueueHealthCheckProperties() # noqa: E501 pass if __name__ == '__main__': unittest.main()

[ "michael.bloch@shinesolutions.com" ]

michael.bloch@shinesolutions.com

7b4ea0f4ff1d23cb5acb9a1696155e58d41a06ed

deb3c16ef887b6c496b8c920809d79b9f73aa2fe

/libs/telewizjaonline.py

3ff44fd184c1e68bbc06dccfa2babf9394c94358

[]

no_license

Yaser7440/cmdline_iptvplayer

1ea35f4fd36c708176a43d402a49342c4cf723a5

4e287021d86cab8d6525262b647d144c6141d6b1

refs/heads/master

2021-01-24T10:49:29.278730

2016-09-21T09:24:26

null

0

null

WINDOWS-1250

Python

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py

# -*- coding: utf-8 -*- ################################################### # LOCAL import ################################################### from Plugins.Extensions.IPTVPlayer.dToolsSet.iptvplayerinit import TranslateTXT as _ from Plugins.Extensions.IPTVPlayer.dToolsSet.iptvtools import printDBG, printExc, GetCookieDir from Plugins.Extensions.IPTVPlayer.tools.iptvtypes import strwithmeta from Plugins.Extensions.IPTVPlayer.libs.pCommon import common from Plugins.Extensions.IPTVPlayer.libs.urlparser import urlparser ################################################### ################################################### # FOREIGN import ################################################### from Components.config import config, ConfigSelection, ConfigYesNo, ConfigText, getConfigListEntry import re try: import simplejson as json except: import json from os import path as os_path ############################################ ################################################### # E2 GUI COMMPONENTS ################################################### from Plugins.Extensions.IPTVPlayer.components.asynccall import MainSessionWrapper ################################################### ################################################### # Config options for HOST ################################################### config.plugins.iptvplayer.telewizjaonline_sort = ConfigSelection(default = "date", choices = [("date", "Date"), ("ostatnio-ogladane", "ostatnio oglądane"), ("title", "Title"), ("view", "Views"), ("like", "Likes"), ("comment", "Comments")]) def GetConfigList(): optionList = [] optionList.append(getConfigListEntry("Sortuj kanały według:", config.plugins.iptvplayer.telewizjaonline_sort)) return optionList ################################################### class TelewizjaOnline: MAINURL = 'http://telewizja-online.pl/' HTTP_HEADER = { 'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:12.0) Gecko/20100101 Firefox/12.0', 'Referer': MAINURL } def __init__(self): self.cm = common() self.up = urlparser() def getCategoriesList(self): printDBG("TelewizjaOnline.getCategoriesList") catsList = [] sts,data = self.cm.getPage(TelewizjaOnline.MAINURL) if not sts: return catsList data = self.cm.ph.getDataBeetwenMarkers(data, 'Kategorie Stacji TV', '</ul>', False)[1] data = re.compile('<a[^>]+?href="([^"]+?)"[^>]*?>([^<]+?)<').findall(data) for item in data: catsList.append({'url':item[0], 'title':item[1]}) return catsList def getChannelsList(self, baseUrl): printDBG("TelewizjaOnline.getChannelsList baseUrl[%s]" % baseUrl ) channelsList = [] url = baseUrl + '?orderby=' + config.plugins.iptvplayer.telewizjaonline_sort.value sts,data = self.cm.getPage(url) if not sts: return channelsList data = self.cm.ph.getDataBeetwenMarkers(data, '<div class="col-md-3', '<center>', False)[1] data = data.split('<div class="col-md-3') for item in data: title = self.cm.ph.getSearchGroups(item, 'title="([^"]+?)"')[0] url = self.cm.ph.getSearchGroups(item, 'href="([^"]+?)"')[0] icon = self.cm.ph.getSearchGroups(item, 'src="(http[^"]+?)"')[0] channelsList.append({'title':title, 'url':url, 'icon':icon}) return channelsList def getVideoLink(self, baseUrl): printDBG("TelewizjaOnline.getVideoLink url[%s]" % baseUrl) def _url_path_join(a, b): from urlparse import urljoin return urljoin(a, b) sts,data = self.cm.getPage(baseUrl) if not sts: return [] data = self.cm.ph.getDataBeetwenMarkers(data, '<div id="player-embed">', '<div class="player-button">', False)[1] url = self.cm.ph.getSearchGroups(data, '<iframe[^>]+?src="([^"]+?)"')[0] if '' != url: data = None return self.up.getAutoDetectedStreamLink(url, data)

[ "zdzislaw22@windowslive.com" ]

zdzislaw22@windowslive.com

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/rules/plot.smk

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[]

no_license

EthanHolleman/DRIP-AGS-ENCODE

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refs/heads/main

2023-04-03T21:07:34.651467

2021-04-23T02:42:18

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smk

rule make_feature_intersection_plot: conda: '../envs/R.yml' input: 'output/intersect/all_samples_concat.intersection.bed' output: 'output/plots/feature_intersection_plot.png' shell:''' mkdir -p output/plots Rscript scripts/plot_encode_intersections.R {input} {output} '''

[ "etholleman@ucdavis.edu" ]

etholleman@ucdavis.edu

0b2bc07bfe47ebc246deec181f61d7fa55a65b8f

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/server/src/uds/auths/RegexLdap/__init__.py

4065f8086cf40c30d7e64bfeaa397d4232fd9e6e

[]

no_license

git38438/openuds

ef939c2196d6877e00e92416609335d57dd1bd55

7d66d92f85f01ad1ffd549304672dd31008ecc12

refs/heads/master

2020-06-22T14:07:33.227703

2019-07-18T11:03:56

null

0

null

UTF-8

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false

1,687

py

# -*- coding: utf-8 -*- # # Copyright (c) 2012 Virtual Cable S.L. # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, # are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # * Neither the name of Virtual Cable S.L. nor the names of its contributors # may be used to endorse or promote products derived from this software # without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR # SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, # OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. """ @author: Adolfo Gómez, dkmaster at dkmon dot com """ from .Authenticator import RegexLdap

[ "dkmaster@dkmon.com" ]

dkmaster@dkmon.com

1af643695b4192619ffcd424991f063d051f610c

6cac02f4df495f1acec3fde64335aa4881230cba

/tutorials/foo-tutorial/foo/foo.py

c828d610c07b3232e3f034ebfbced761d19fd565

[]

no_license

ivannz/pkg_deploy_repo_renamed

96610728c097f0bb77a047b09681bb1d5fe6ffc3

9ce24ffcc5db6235dd3946f8a63123c3955ea957

refs/heads/master

2020-07-16T17:28:59.668633

2019-09-03T07:08:29

205,832,544

0

null

UTF-8

Python

false

193

py

def this(): from this import s d = {} for c in (65, 97): for i in range(26): d[chr(i + c)] = chr((i + 13) % 26 + c) return "".join(d.get(c, c) for c in s)

[ "ivannz@yandex.ru" ]

ivannz@yandex.ru

2a21ac1ec7913bc31720e0eb686e858987acfe58

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/python_models8/neuron/builds/IF_curr_exp_i.py

307db7fb5aee6fefae5f3e8176e659b1466f3901

[]

no_license

chanokin/sPyNNaker8NewModelTemplate

d911443fa650a4016828341fd252ddb2d7bad313

2d64f34ed5a8f5312a3176792bee57339785c5ea

refs/heads/master

2020-11-27T01:10:50.593741

2020-01-07T15:56:54

229,252,692

0

null

2019-12-20T11:28:48

null

UTF-8

Python

false

2,945

py

# A PyNN Model for standard neurons built from components from spynnaker.pyNN.models.neuron import AbstractPyNNNeuronModelStandard # Components from main tools from spynnaker.pyNN.models.neuron.input_types import InputTypeCurrent from spynnaker.pyNN.models.neuron.synapse_types import SynapseTypeExponential from spynnaker.pyNN.models.defaults import default_initial_values from spynnaker.pyNN.models.neuron.neuron_models.neuron_model_leaky_integrate_and_fire import NeuronModelLeakyIntegrateAndFire from python_models8.neuron.threshold_types.AdaptiveThreshold import AdaptiveThreshold class IF_curr_exp_i(AbstractPyNNNeuronModelStandard): @default_initial_values({"v_init", "isyn_exc", "isyn_inh"}) def __init__(self, # neuron model parameters and state variables i_offset=0.0, v_init=-70.0, v_rest=-70.0, v_reset=-100.0, tau_m=10.0, cm=2.0, tau_refrac=3.0, # threshold type parameters v_threshold=-10.0, tau_threshold=120, w_threshold=1.8, # synapse type parameters tau_syn_E=5.0, tau_syn_I=5.0, isyn_exc=0.0, isyn_inh=0.0 ): if v_init is None: v_init = v_rest self.__v_init = v_init self.__v_threshold = v_threshold self.__tau_threshold = tau_threshold self.__w_threshold = w_threshold neuron_model = NeuronModelLeakyIntegrateAndFire(v_init, v_rest, tau_m, cm, i_offset, v_reset, tau_refrac) synapse_type = SynapseTypeExponential(tau_syn_E, tau_syn_I, isyn_exc, isyn_inh) input_type = InputTypeCurrent() threshold_type = AdaptiveThreshold(v_threshold, w_threshold, tau_threshold, v_rest) super(IF_curr_exp_i, self).__init__( model_name="IF_curr_exp_i", binary="IF_curr_exp_i.aplx", neuron_model=neuron_model, input_type=input_type, synapse_type=synapse_type, threshold_type=threshold_type ) @property def v_init(self): return self.__v_init @v_init.setter def v_init(self, v_init): self.__v_init = v_init @property def v_threshold(self): return self.__v_threshold @v_threshold.setter def v_threshold(self, v_threshold): self.__v_threshold = v_threshold @property def tau_threshold(self): return self.__tau_threshold @tau_threshold.setter def tau_threshold(self, tau_threshold): self.__tau_threshold = tau_threshold @property def w_threshold(self): return self.__w_threshold @w_threshold.setter def w_threshold(self, w_threshold): self.__w_threshold = w_threshold

[ "chanokin@gmail.com" ]

chanokin@gmail.com

5f69045f7aa47cdf638b20fe0213be9eee7ea9cf

37c38b97d0a4b8098ec3c35b7122afb1fbb9eac9

/newke/py36/py36/class_biao.py

ffce719d491f697100ed5daab2206f4b953fd2aa

[]

no_license

lionheartStark/sword_towards_offer

8c2f9015a427317375d53eee982d630ffd4fa9c0

cb3587242195bb3f2626231af2da13b90945a4d5

refs/heads/master

2022-12-02T20:50:18.789828

2020-08-23T02:00:48

266,257,109

0

null

UTF-8

Python

false

1,076

py

from typing import List from collections import defaultdict,deque class Solution: def canFinish(self, numCourses: int, prerequisites: List[List[int]]) -> bool: need_map = defaultdict(set) for i in prerequisites: need, be_need = i need_map[need].add(be_need) a_solution = [] queue = deque() count = 0 for i in range(numCourses): if i not in need_map: queue.append(i) count += 1 while queue: nowican = queue.popleft() a_solution.append(nowican) should_rm = [] for k,v in need_map.items(): if nowican in v: v.remove(nowican) if len(v) == 0: should_rm.append(k) queue.append(k) count += 1 for m in should_rm: need_map.pop(m) can = (count == numCourses) if can: return a_solution else: return []

[ "1003146780@qq.com" ]

1003146780@qq.com

5a520bbe602829e4a1a651efc846844f07970208

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/server/www/teleport/webroot/app/controller/dashboard.py

65a5f2eea63c35642406ac5a3c52e530667224cb

[ "Apache-2.0" ]

permissive

zhoulhb/teleport

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# -*- coding: utf-8 -*- from app.const import * from app.base.controller import TPBaseHandler, TPBaseJsonHandler from app.model import stats class IndexHandler(TPBaseHandler): def get(self): ret = self.check_privilege(TP_PRIVILEGE_LOGIN_WEB) if ret != TPE_OK: return self.render('dashboard/index.mako')

[ "apex.liu@qq.com" ]

apex.liu@qq.com

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/misc/figures_thesis.py

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2020-11-27T17:12:28.335357

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"""Gather figures (to be included in thesis).""" import os import pathlib import shutil rootdir = pathlib.Path(__file__).absolute().parents[1] n_parts = len(rootdir.parts) # Create the output directory. figdir = rootdir / 'figures_thesis' figdir.mkdir(parents=True, exist_ok=True) # Load paths of figures to gather. inpath = rootdir / 'misc' / 'figures_thesis.txt' filepaths = [] with open(inpath, 'r') as infile: filepaths = [rootdir / line.strip() for line in infile.readlines() if not line.startswith('#')] # Define new names of the output figures. filenames = [] for filepath in filepaths: filename, filedir = filepath.name, filepath.parent prefix = '_'.join([e for e in filedir.parts[n_parts + 2:] if e != 'figures']) filenames.append('_'.join([prefix, filename]).lstrip('_')) # Copy figures to output directory. for filepath, filename in zip(filepaths, filenames): shutil.copy(filepath, figdir / filename)

[ "mesnardo@gwu.edu" ]

mesnardo@gwu.edu

862e1582b1eea05a10d17fec0afe45b0ba83391c

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/fannypack/utils/_deprecation.py

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HaoWen470/fannypack

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refs/heads/master

2023-01-03T20:35:35.248848

2020-10-31T09:01:01

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import warnings from typing import Callable def deprecation_wrapper(message: str, function_or_class: Callable) -> Callable: """Creates a wrapper for a deprecated function or class. Prints a warning the first time a function or class is called. Args: message (str): Warning message. function_or_class (Callable): Function or class to wrap. Returns: Callable: Wrapped function/class. """ warned = False def curried(*args, **kwargs): # pragma: no cover nonlocal warned if not warned: warnings.warn(message, DeprecationWarning, stacklevel=2) warned = True return function_or_class(*args, **kwargs) return curried def new_name_wrapper( old_name: str, new_name: str, function_or_class: Callable ) -> Callable: """Creates a wrapper for a renamed function or class. Prints a warning the first time a function or class is called with the old name. Args: old_name (str): Old name of function or class. Printed in warning. new_name (str): New name of function or class. Printed in warning. function_or_class (Callable): Function or class to wrap. Returns: Callable: Wrapped function/class. """ return deprecation_wrapper( f"{old_name} is deprecated! Use {new_name} instead.", function_or_class )

[ "yibrenth@gmail.com" ]

yibrenth@gmail.com

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/setup.py

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Lukasa/rproxy

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refs/heads/master

2020-12-28T22:46:48.225095

2016-06-30T08:27:23

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from setuptools import setup setup( name='rproxy', description='A super simple reverse proxy.', long_description=open("README.rst").read(), author='Amber Brown', author_email='hawkowl@atleastfornow.net', packages=['rproxy', 'twisted.plugins'], package_dir={"": "src"}, install_requires=[ 'twisted >= 15.5.0', 'pyopenssl', 'txsni', 'incremental', ], zip_safe=False, setup_requires=["incremental"], use_incremental=True, )

[ "hawkowl@atleastfornow.net" ]

hawkowl@atleastfornow.net

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/app.py

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amazingguni/stock-trader

0bd39cce6f6462c9648e3c8b2893b3e8379e37ca

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refs/heads/main

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2021-05-30T13:12:58

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from flask import Flask, Response from flask_login import LoginManager from flask_cors import CORS from config import get_config_by_env from container import Container from web.admin import admin from mongodb import db login_manager = LoginManager() def create_app(): app = Flask(__name__, template_folder='./web/templates') @app.route('/') # pylint: disable=unused-variable def index(): return Response(status=200) app.config.from_object(get_config_by_env()) CORS(app) login_manager.init_app(app) container = Container() app.container = container from web.admin.views import sync as admin_sync_views from web.admin.views import stock as admin_stock_views from web.admin.views import portfolio as admin_portfolio_views admin_views = [admin_sync_views, admin_stock_views, admin_portfolio_views, ] with app.app_context(): container.wire(modules=admin_views) admin.init_app(app) db.init_app(app) return app def register_blueprints(app, views): for view in views: app.register_blueprint(view.bp) @login_manager.user_loader def load_user(user_id): from core.user.domain.user import User return User.query.filter(User.id == user_id).first() app = create_app()

[ "amazingguni@gmail.com" ]

amazingguni@gmail.com

60c586549370e3fbb1ebd8bbe3f0cd9caba71e15

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/13.HASH MAP/1338_Reduce Array Size to The Half_MED/solution.py

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[]

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kimmyoo/python_leetcode

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2023-08-16T07:36:38.688871

2023-08-15T22:38:00

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class Solution(object): def minSetSize(self, arr): """ :type arr: List[int] :rtype: int """ half = len(arr)/2 d = collections.Counter(arr) c = d.values() c.sort(reverse=True) if max(c) >= half: return 1 begin, end = 0, 1 sum = max(c) while True: sum += c[end] if sum >= half: return end+1-begin else: end+=1

[ "kimmyoo@gmail.com" ]

kimmyoo@gmail.com

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/TopInterviewQuestions/LinkedList/01-Delete-Node.py

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almamuncsit/LeetCode

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refs/heads/master

2021-07-07T09:48:18.069020

2021-03-28T11:26:47

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# Definition for singly-linked list. # class ListNode: # def __init__(self, x): # self.val = x # self.next = None class Solution: def deleteNode(self, node): while node.next.next: node.val = node.next.val node = node.next node.val = node.next.val node.next = None

[ "msarkar.cse@gmail.com" ]

msarkar.cse@gmail.com

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/leetcode/problems/434.number-of-segments-in-a-string.py

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[]

no_license

liseyko/CtCI

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refs/heads/master

2020-03-21T14:28:47.621481

2019-11-12T22:59:07

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# # @lc app=leetcode id=434 lang=python3 # # [434] Number of Segments in a String # # https://leetcode.com/problems/number-of-segments-in-a-string/description/ # # algorithms # Easy (37.34%) # Total Accepted: 64.1K # Total Submissions: 171.8K # Testcase Example: '"Hello, my name is John"' # # Count the number of segments in a string, where a segment is defined to be a # contiguous sequence of non-space characters. # # Please note that the string does not contain any non-printable characters. # # Example: # # Input: "Hello, my name is John" # Output: 5 # # # class Solution: def countSegments(self, s: str) -> int:

[ "liseyko@gmail.com" ]

liseyko@gmail.com

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/Smart.py

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[]

no_license

adaptiveUK/rhinopythonscripts

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refs/heads/master

2021-01-17T08:38:26.863981

2011-07-25T19:07:29

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'''A module for wrapping geometry with UserString and Attribute Dictionaries''' import Rhino class SmartFeature(object): def __init__(self, rhinoObjectOrTuple): self._parseConstructor(rhinoObjectOrTuple) def _parseConstructor(self, rhinoObjectOrTuple): # determine if it is a tuple kind = type(rhinoObjectOrTuple) if kind == tuple or kind == list: # build from geom, user string pair pair = rhinoObjectOrTuple self.geom = self._filterGeometry(pair[0]) # geometry self.attributes = pair[1] # properties (as dictionary) else: # assume RhinoObject rhObj = rhinoObjectOrTuple self.geom = self._filterGeom(rhObj.Geometry) self.attributes = {} numAtts = rhObj.Attributes.UserStringCount rawAtts = rhObj.Attributes.GetUserStrings() keys = rawAtts.AllKeys for key in keys: self.attributes[key] = rhObj.Attributes.GetUserString(key) def _filterGeom(self, geometry): if type(geometry) == Rhino.Geometry.Point: return geometry.Location else: return geometry def objAttributes(self, objectAttributes): for key in self.attributes: objectAttributes.SetUserString(key, self.attributes[key]) return objectAttributes def RhinoObjectsToSmartFeatures(RhinoObjectList): return [SmartFeature(obj) for obj in RhinoObjectList] def replaceGeometries(smartFeatures, geometries): out = [] for i in range(len(smartFeatures)): feature = smartFeatures[i] geometry = geometries[i] feature.geom = geometry out.append(feature) return out

[ "benjamin.j.golder@gmail.com" ]

benjamin.j.golder@gmail.com

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/_algorithms_challenges/codewar/_Codewars-Solu-Python-master/src/kyu7_Linked_Lists-Move_Node.py

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[]

no_license

syurskyi/Algorithms_and_Data_Structure

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2023-02-22T17:55:55.453535

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class Node(object): def __init__(self, data): self.data = data self.next = None class Context(object): def __init__(self, source, dest): self.source = source self.dest = dest class Solution(): """ https://www.codewars.com/kata/linked-lists-move-node Linked Lists - Move Node Write a MoveNode() function which takes the node from the front of the source list and moves it to the front of the destintation list. You should throw an error when the source list is empty. For simplicity, we use a Context object to store and return the state of the two linked lists. A Context object containing the two mutated lists should be returned by moveNode. MoveNode() is a handy utility function to have for later problems. JavaScript var source = 1 -> 2 -> 3 -> null var dest = 4 -> 5 -> 6 -> null moveNode(source, dest).source === 2 -> 3 -> null moveNode(source, dest).dest === 1 -> 4 -> 5 -> 6 -> null Python source = 1 -> 2 -> 3 -> None dest = 4 -> 5 -> 6 -> None move_node(source, dest).source == 2 -> 3 -> None move_node(source, dest).dest == 1 -> 4 -> 5 -> 6 -> None Ruby source = 1 -> 2 -> 3 -> nil dest = 4 -> 5 -> 6 -> nil move_node(source, dest).source == 2 -> 3 -> nil move_node(source, dest).dest == 1 -> 4 -> 5 -> 6 -> nil The push() and buildOneTwoThree() functions need not be redefined. There is another kata called Linked Lists - Move Node In-place that is related but more difficult. Related Kata in order of expected completion (increasing difficulty): Linked Lists - Push & BuildOneTwoThree Linked Lists - Length & Count Linked Lists - Get Nth Node Linked Lists - Insert Nth Node Linked Lists - Sorted Insert Linked Lists - Insert Sort Linked Lists - Append Linked Lists - Remove Duplicates Linked Lists - Move Node Linked Lists - Move Node In-place Linked Lists - Alternating Split Linked Lists - Front Back Split Linked Lists - Shuffle Merge Linked Lists - Sorted Merge Linked Lists - Merge Sort Linked Lists - Sorted Intersect Linked Lists - Iterative Reverse Linked Lists - Recursive Reverse Inspired by Stanford Professor Nick Parlante's excellent Linked List teachings. """ def __init__(self): pass def move_node_01(self, source, dest): if not source: raise ValueError node = source source = source.next node.next = dest return Context(source, node)

[ "sergejyurskyj@yahoo.com" ]

sergejyurskyj@yahoo.com

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/python/my_py_notes_万物皆对象/db_and_数据持久化/Mysql/mysql与python交互/py_mySQL.py

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[]

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Rockyzsu/StudyRepo

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2022-12-09T13:45:38.332899

2020-09-15T09:56:09

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# -*- coding:utf-8 -*- # file: PyMySQL.py # import MySQLdb # 导入MySQLdb模块 db = MySQLdb.connect(host='localhost', # 连接到数据库，服务器为本机 user='root', # 用户为root passwd='root654321', # 密码为root654321 db='python') # 数据库名为python cur = db.cursor() # 获得数据库游标 cur.execute('insert into people (name,age,sex) values (\'Jee\',21,\'F\')') # 执行SQL语句 r = cur.execute('delete from people where age=20') # 执行SQL语句 r = cur.execute('select * from people') # 执行SQL语句 db.commit() # 提交事务 r = cur.fetchall() # 获取数据 print(r) # 输出数据 cur.close() # 关闭游标 db.close() # 关闭数据库连接

[ "jinweizsu@gmail.com" ]

jinweizsu@gmail.com

43fddc8268d67792feed4cbae6473c1f9b58a178

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/solutions_python/Problem_210/72.py

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[]

no_license

dr-dos-ok/Code_Jam_Webscraper

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refs/heads/master

2020-04-06T08:17:40.938460

2018-10-14T10:12:47

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#!/usr/bin/env python import sys import numpy as np T = int(raw_input()) for t in xrange(T): # solve the input Ac, Aj = raw_input().strip().split() Ac = int(Ac) Aj = int(Aj) activities = [] # start, end, duration, who ctotal = 0 jtotal = 0 C = np.zeros(Ac) D = np.zeros(Ac) for c in xrange(Ac): cc, dc = raw_input().strip().split() C[c] = int(cc) D[c] = int(dc) activities.append((C[c], D[c], D[c]-C[c], "C")) ctotal += D[c] - C[c] J = np.zeros(Aj) K = np.zeros(Aj) for j in xrange(Aj): jj, kj = raw_input().strip().split() J[j] = int(jj) K[j] = int(kj) activities.append((J[j], K[j], K[j]-J[j], "J")) jtotal += K[j] - J[j] activities.sort() cremain = 720 - ctotal jremain = 720 - jtotal result = 0 if Aj + Ac == 1: # only one activity, so only two changes print "Case #{0}: {1}".format(t+1, 2) continue # at least two activities, so at least two proper gaps, and first != last ### FIND ALL GAPS AND THEIR TYPES, FIRST AND LAST first = activities[0][3] last = activities[-1][3] gaps = [] prev = activities[0] for i in xrange(1, len(activities)): curr = activities[i] gaps.append((prev[3] + curr[3], curr[0] - prev[1])) # type of gap, length of gap prev = curr # add the last gap gaps.append((last + first, (1440 - activities[-1][1]) + activities[0][0])) # sort the gaps, then deal with them separately gaps.sort() # start with CC gaps i = 0 while i < len(gaps) and gaps[i][0] == 'CC': gap = gaps[i] if gap[1] <= cremain: # gap is filled in cremain -= gap[1] else: # cannot fill in the gap, so need 2 changes result += 2 i += 1 # deal with CJ and JC gaps while i < len(gaps) and (gaps[i][0] == 'CJ' or gaps[i][0] == 'JC'): result += 1 i += 1 # deal with JJ gaps while i < len(gaps) and gaps[i][0] == 'JJ': gap = gaps[i] if gap[1] <= jremain: # gap is filled in jremain -= gap[1] else: # cannot fill in the gap, so need 2 changes result += 2 i += 1 # this is hopefully all print "Case #{0}: {1}".format(t+1, result)

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miliar1732@gmail.com

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2023-07-25T11:22:17.994770

2021-09-07T03:27:34

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class Nomina: def __init__(self,nom="",ruc=0,dire="",tele=0,ciud="",tipEmpr="",email="",estado="",profe="",dep=""):#3 self.nombre=nom self.ruc=ruc self.direccion=dire self.telefono=tele self.ciudad=ciud self.tipoEmpresa=tipEmpr self.correo=email self.estadocivil=estado self.profesion=profe self.departamento=dep class Empresa(Nomina): def datosEmpresa(self):#3 self.nombre=input("Ingresar nombre de la empresa: ") self.ruc=int(input("Ingresar ruc de la empresa: ")) self.direccion=input("Ingresar la direccion de la empresa: ") self.telefono=int(input("Ingresar el numero de telefono de la empresa: ")) self.ciudad=input("Ingresar ciudad donde esta la empresa: ") self.tipoEmpresa=input("Ingresar tipo de empresa publica o privada: ") def mostrarEmpresa(self): print("Datos de la Empresa") print("La empresa "{}"\n De RUC #{} \n Está ubicada en {}\n Se puede comunicar al #{}\n Está empresa esta en la ciudad de "{}"\n Es una entidad "{}"".format(self.nombre,self.ruc,self.direccion, self.telefono,self.ciudad, self.tipoEmpresa)) class Departamento(Empleado): def departa(self): self.departamento=input("Ingresar el departamento al que pertenece el empleado: ") def mostrarDeparta(self): print("El empleado pertenece al departamento de: "{}"".format(self.departamento)) class Empleado(Nomina): def empleado(self): self.nombre=input("Ingresar nombre del empleado: ") self.cedula=int(input("Ingresar numero de cedula: ")) self.direccion=input("Ingresar la direccion del empleado: ") self.telefono=int(input("Ingresar numero de contacto del empleado: ")) self.correo=input("Ingresar correo personal del empleado: ") def empleadoObrero(self): self.estadocivil=input("Ingresar estado civil del empleado: ") def empleadoOficina(self):#falta dos atributo como definicion de oficina self.profesion=input("Ingresar profesion del empleado: ") def mostrarempleado(self): print("El empleado: {} con # de ") if eleccion==1: print(self.estadocivil) elif eleccion==2: print(self.profesion) # class Pagos(): # def __init__(self): # pass # def pagoNormal(self, valhora,hoesti,hotraba, desc, desper): # self.valorhora=valhora # self.horaestimada=hoesti # self.horastrabajadas=hotraba # self.descuentos=desc # self.permisos=desper # def pagoExtra(self, valhora,hoesti,hotraba,incentivos): # self.valorhora=valhora # self.horaestimada=hoesti # self.horastrabajadas=hotraba # self.bono=incentivos # def Nomina(self, nom, valhora,hoesti,hotraba, desc, desper,incentivos):#faltan 8 atributos incluir cosas del empleado y sobretiempo # self.nombre= nom # self.valorhora=valhora # self.horaestimada=hoesti # self.horastrabajadas=hotraba # self.descuentos=desc # self.permisos=desper # self.bono=incentivos nom=Nomina() emp=Empresa() emp.datosEmpresa() emp.mostrarEmpresa() # emple=Empleado() # emple.empleado() # eleccion=int(input("Va a ingresar un empleado tipo 1. Obreo o 2.Oficina: ")) # if eleccion==1: # emple.empleadoObrero() # elif eleccion==2: # emple.empleadoOficina() # else: # print("No selecciono el tipo de empleado") # emple.mostrarempleado()

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# MIT License # Copyright (c) 2019 Charles Jekel # 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 numpy as np import invbubble import os from scipy.optimize import fmin_l_bfgs_b if __name__ == "__main__": invbubble.delete_files() # load the test data homeuser = os.path.expanduser('~') blue00 = np.load(os.path.join(homeuser, 'blue00.npy'), allow_pickle=True) blue01 = np.load(os.path.join(homeuser, 'blue01_rotated_90.npy'), allow_pickle=True) blue02 = np.load(os.path.join(homeuser, 'blue02_rotated_90.npy'), allow_pickle=True) blue03 = np.load(os.path.join(homeuser, 'blue03.npy'), allow_pickle=True) test_data = [blue00, blue01, blue02] # initialize a maximum objective value max_obj = 30.0 # mm opt_hist_file = 'iso04r00.csv' header = ['E', 'G', 'OBJ', 'Success'] my_opt = invbubble.BubbleOpt(opt_hist_file, header, max_obj, None, None, test_data=test_data, weights=[1.0, 1.0, 1.0], mat_model='iso-two') np.random.seed(121) my_bounds = np.zeros((2, 2)) my_bounds[0, 0] = 0.12 my_bounds[0, 1] = 0.25 my_bounds[1, 0] = 0.2 my_bounds[1, 1] = 0.9 X = np.array([[0.166, 0.60], [0.155, 0.52], [0.193, 0.67], [0.167, 0.56], [0.198, 0.7]]) xres = np.zeros_like(X) fres = np.zeros(5) for i, x0 in enumerate(X): res = fmin_l_bfgs_b(my_opt.calc_obj_function_test_data, x0, approx_grad=True, bounds=my_bounds, factr=1e12, pgtol=1e-06, epsilon=1e-3, iprint=1, m=10000, maxfun=200, maxiter=10, maxls=20) xres[i] = res[0] fres[i] = res[1] # find the best result best_ind = np.argmin(fres) message = '\nBest result: \n' + str(fres[best_ind]) + """\n Best values: \n""" + str(xres[best_ind]) + """\n The full result: \n""" + str(fres) + """\n Full values: \n""" + str(xres) print(message) invbubble.send_email('cjekel@ufl.edu', 'iso blue cv 04 done', message)

[ "cjekel@gmail.com" ]

cjekel@gmail.com

fee00f670adab1b0c03e332059c2a4409748e8a6

9b483d42da47237d28a9f80c378aba412b89f5b1

/special/cookie.py

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[]

no_license

smartree/Tentacle

b0c83b671c1abe26338125d672d77b277abd2b28

a53e046f3434bf1ac4b606ba7dfe951d9b7f5464

refs/heads/master

2020-05-23T01:25:57.576494

2019-05-09T15:33:00

null

0

null

UTF-8

Python

false

2,776

py

#!/usr/bin/env python # -*- coding:utf-8 -*- ''' Check header' cookies secure, e.g. httponly, secure and so on. ''' from re import findall from re import search from re import I def info(data=None): info = { "name": "cookie", "info": "cookie", "level": "low", "type": "info" } return info def _plus(data, info,key = "cookie"): data['flag'] = 1 data['res'].append({"info": info, "key": key}) return data def prove(data): data = init(data, 'web') if data['url']: try: headers = curl('get',data['url']).headers if 'cookies' in headers.keys(): cookies = headers['cookies'], if not search(r'secure;', cookies, I): data = _plus(data,'Cookie without Secure flag set') if not search(r'httponly;', cookies, I): data = _plus(data, 'Cookie without HttpOnly flag set') if search(r'domain\=\S*', cookies, I): domain = findall(r'domain\=(.+?);', headers, I) if domain: data = _plus(data, 'Session Cookie are valid only at Sub/Domain: %s' % domain[0]) if search(r'path\=\S*', cookies, I): path = findall(r'path\=(.+?);', headers, I) if path: data = _plus(data, 'Session Cookie are valid only on that Path: %s' % path[0]) if search(r'(.+?)\=\S*;', cookies, I): cookie_sessions = findall(r'(.+?)\=\S*;', headers, I) for cs in cookie_sessions: if cs not in ['domain', 'path', 'expires']: data = _plus(data, 'Cookie Header contains multiple cookies') break if 'x-xss-protection' not in headers.keys(): data = _plus(data, 'X-XSS-Protection header missing','x-xss-protection') if 'x-frame-options' not in headers: data = _plus(data, 'Clickjacking: X-Frame-Options header missing','x-frame-options') if 'content-type' not in headers: data = _plus(data, 'Content-Type header missing','content-type') if 'strict-transport-security' not in headers: data = _plus(data, 'Strict-Transport-Security header missing','strict-transport-security') if 'x-content-type-options' not in headers: data = _plus(data, 'X-Content-Type-Options header missing','x-content-type-options') except : pass return data if __name__=='__main__': from script import init, curl print(prove({'target_host':'www.baidu.com','target_port': 22,'flag':-1,'data':[],'res':[]}))

[ "546577246@qq.com" ]

546577246@qq.com

48c70164518cd8c13035be54a8fd4613798d6f4b

574a23f57daec3d462967e30ff808779127dc839

/herle_inventarios/inventarios/serializers.py

42469033e71751845727f0149bc8dc594c449395

[]

no_license

RedGranatum/herleBackEnd

18d3aecf75eb0d349470747f3fca4dbfd1581e80

8f21a7f7d0c2d3fdf3ae52eab6b31cbea7d3da97

refs/heads/master

2023-01-07T07:32:17.725947

2020-12-15T00:23:38

57,180,381

0

null

2022-12-26T20:22:35

2016-04-27T03:25:14

Python

UTF-8

Python

false

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py

from rest_framework import serializers from .models import Inventario class InventarioSerializer(serializers.ModelSerializer): class Meta: model = Inventario fields = ("id","compra_detalle","invoice_compra","material","calibre","ancho","largo", "codigo_producto","num_rollo","peso_kg","peso_lb","transporte","pais", "precio_libra","factor","precio_dolar","factor_impuesto","con_comercializadora", "porc_comercializadora", "factor_kilos","valor_kilo_dolar","valor_tonelada_dolar","valor_kilo_pesos", "valor_final_kilo_pesos","descripcion","comentarios","precio_tonelada_dolar")

[ "raultr@gmail.com" ]

raultr@gmail.com

59ac6c1ca8c6b389889458634600394990b5dc69

1f62195fb1960c6bddb38343adbe41c0497e40bc

/torchrl/utils/gym_wrappers/atari_wrappers.py

14d18b1a90860b41d033edaf180e5bd29d3c4bef

[ "MIT" ]

permissive

alyssonmazoni/torchrl

800ec186893607adac14c38c39c1d36f3488d3d8

75e82f073b7234432b491a21e5083bc55e3e985a

refs/heads/master

2020-03-16T06:12:43.733257

2018-05-05T02:37:50

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0

null

UTF-8

Python

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5,291

py

''' Copied from: https://github.com/openai/baselines/blob/master/baselines/common/atari_wrappers.py ''' import numpy as np import gym from gym import spaces import cv2 def atari_wrap(env, frame_skip=4, noop_max=30): assert 'NoFrameskip' in env.spec.id env = EpisodicLifeEnv(env) env = NoopResetEnv(env, noop_max=noop_max) env = MaxAndSkipEnv(env, skip=frame_skip) if 'FIRE' in env.unwrapped.get_action_meanings(): env = FireResetEnv(env) env = WarpFrame(env) env = ClipRewardEnv(env) return env class NoopResetEnv(gym.Wrapper): def __init__(self, env, noop_max=30): """Sample initial states by taking random number of no-ops on reset. No-op is assumed to be action 0. """ gym.Wrapper.__init__(self, env) self.noop_max = noop_max self.override_num_noops = None self.noop_action = 0 assert env.unwrapped.get_action_meanings()[0] == 'NOOP' def _reset(self, **kwargs): """ Do no-op action for a number of steps in [1, noop_max].""" self.env.reset(**kwargs) if self.override_num_noops is not None: noops = self.override_num_noops else: noops = self.unwrapped.np_random.randint(1, self.noop_max + 1) #pylint: disable=E1101 assert noops > 0 obs = None for _ in range(noops): obs, _, done, _ = self.env.step(self.noop_action) if done: obs = self.env.reset(**kwargs) return obs class FireResetEnv(gym.Wrapper): def __init__(self, env): """Take action on reset for environments that are fixed until firing.""" gym.Wrapper.__init__(self, env) assert env.unwrapped.get_action_meanings()[1] == 'FIRE' assert len(env.unwrapped.get_action_meanings()) >= 3 def _reset(self, **kwargs): self.env.reset(**kwargs) obs, _, done, _ = self.env.step(1) if done: self.env.reset(**kwargs) obs, _, done, _ = self.env.step(2) if done: self.env.reset(**kwargs) return obs class EpisodicLifeEnv(gym.Wrapper): def __init__(self, env): """Make end-of-life == end-of-episode, but only reset on true game over. Done by DeepMind for the DQN and co. since it helps value estimation. """ gym.Wrapper.__init__(self, env) self.lives = 0 self.was_real_done = True def _step(self, action): obs, reward, done, info = self.env.step(action) self.was_real_done = done # check current lives, make loss of life terminal, # then update lives to handle bonus lives lives = self.env.unwrapped.ale.lives() if lives < self.lives and lives > 0: # for Qbert sometimes we stay in lives == 0 condtion for a few frames # so its important to keep lives > 0, so that we only reset once # the environment advertises done. done = True self.lives = lives return obs, reward, done, info def _reset(self, **kwargs): """Reset only when lives are exhausted. This way all states are still reachable even though lives are episodic, and the learner need not know about any of this behind-the-scenes. """ if self.was_real_done: obs = self.env.reset(**kwargs) else: # no-op step to advance from terminal/lost life state obs, _, _, _ = self.env.step(0) self.lives = self.env.unwrapped.ale.lives() return obs class MaxAndSkipEnv(gym.Wrapper): def __init__(self, env, skip=4): """Return only every `skip`-th frame""" gym.Wrapper.__init__(self, env) # most recent raw observations (for max pooling across time steps) self._obs_buffer = np.zeros((2, ) + env.observation_space.shape, dtype='uint8') self._skip = skip def _step(self, action): """Repeat action, sum reward, and max over last observations.""" total_reward = 0.0 done = None for i in range(self._skip): obs, reward, done, info = self.env.step(action) if i == self._skip - 2: self._obs_buffer[0] = obs if i == self._skip - 1: self._obs_buffer[1] = obs total_reward += reward if done: break # Note that the observation on the done=True frame # doesn't matter max_frame = self._obs_buffer.max(axis=0) return max_frame, total_reward, done, info class ClipRewardEnv(gym.RewardWrapper): def _reward(self, reward): """Bin reward to {+1, 0, -1} by its sign.""" return np.sign(reward) class WarpFrame(gym.ObservationWrapper): def __init__(self, env): """Warp frames to 84x84 as done in the Nature paper and later work.""" gym.ObservationWrapper.__init__(self, env) self.width = 84 self.height = 84 self.observation_space = spaces.Box( low=0, high=255, shape=(1, self.height, self.width)) def _observation(self, frame): frame = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY) frame = cv2.resize(frame, (self.width, self.height), interpolation=cv2.INTER_AREA) return frame[None, :, :]

[ "lucasgouvaz@gmail.com" ]

lucasgouvaz@gmail.com

b5935e769053443d0cf189014e51f82faab401ff

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p02785/s130693103.py

ccbb8dc59483b523e40685ea0fb13bcd61a7bf65

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

UTF-8

Python

false

234

py

import heapq (N,K) = map(int,input().split()) h = [int(x)*-1 for x in input().split()] ans = 0 heapq.heapify(h) if K <= N: for i in range(K): heapq.heappop(h) while h != []: ans -= heapq.heappop(h) print(ans)

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

66529651+Aastha2104@users.noreply.github.com