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<|fim_prefix|># repo: kuc2477/anchor-backend path: /app/schedules/models.py from marshmallow import fields from sqlalchemy import ( Column, Text ) from news.models.sqlalchemy import ( create_schedule_abc, create_schedule ) from ..utils.ma import get_base_schema from ..users.models import User from ..extensions...
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{ "lang": "python", "repo": "kuc2477/anchor-backend", "path": "/app/schedules/models.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: takingtheback/-20210517-engineer path: /OurHomeGround/routes/gall_route.py from datetime import datetime import os from flask import request, render_template, redirect, Blueprint,session from member import GalleryService, Gallery service = GalleryService() bp = Blueprint('gallery', __name__, u...
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{ "lang": "python", "repo": "takingtheback/-20210517-engineer", "path": "/OurHomeGround/routes/gall_route.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|># @bp.route('/edit', methods=['POST']) # def edit(): # num = request.form['gall_num'] # title = request.form['gall_title'] # content = request.form['gall_content'] # date = datetime.now() # # service.editBoard(Gallery(gall_num=num, gall_date=date, gall_title=title, gall_content=content...
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{ "lang": "python", "repo": "takingtheback/-20210517-engineer", "path": "/OurHomeGround/routes/gall_route.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>@bp.route('/edit', methods=['POST']) def edit(): num = request.form['gall_num'] title = request.form['gall_title'] content = request.form['gall_content'] date = datetime.now() service.editBoard(Gallery(gall_num=num, gall_date=date, gall_title=title, gall_content=content)) print("##...
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{ "lang": "python", "repo": "takingtheback/-20210517-engineer", "path": "/OurHomeGround/routes/gall_route.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Baltic-Knights/SDL-Final-Submission path: /app.py from flask import * app = Flask(__name__) @app.route('/') def hello(): return render_template('index.html') @app.route('/covid_map') def covid(): return render_template('covid_map.html') <|fim_suffix|> return...
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{ "lang": "python", "repo": "Baltic-Knights/SDL-Final-Submission", "path": "/app.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>@app.route('/predict', methods=['POST','GET']) def predict(): if request.method == 'POST': #f = request.files.get('file') f = request.files['file'] fname=f.filename fname = fname.split(".") name=fname[0] return render_template('index.html', pre...
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{ "lang": "python", "repo": "Baltic-Knights/SDL-Final-Submission", "path": "/app.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> if request.method == 'POST': #f = request.files.get('file') f = request.files['file'] fname=f.filename fname = fname.split(".") name=fname[0] return render_template('index.html', pred1="Condition of given X-ray Scan : {} ".format(name)) ...
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{ "lang": "python", "repo": "Baltic-Knights/SDL-Final-Submission", "path": "/app.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> name=self.request.get("name") if(name==""): playername="Anonymous" else: playername=name score=self.request.get("score") playerscore=int(score) s = Player(playername=playername, playerscore=playerscore) s.put() self.render("base.html") class ReminderTool(Handler): def get(self):...
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{ "lang": "python", "repo": "fat1996/pacmanversion", "path": "/main.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: fat1996/pacmanversion path: /main.py #!/usr/bin/env python # # Copyright 2007 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/...
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{ "lang": "python", "repo": "fat1996/pacmanversion", "path": "/main.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: 0x20/ESP32-platform-firmware path: /firmware/python_modules/troopers2020/_device.py import os, machine, display, easydraw, time, neopixel def configureWakeupSource(): <|fim_suffix|>def showMessage(message="", icon=None): easydraw.messageCentered(message, False, icon) def setLedPower(state): p...
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{ "lang": "python", "repo": "0x20/ESP32-platform-firmware", "path": "/firmware/python_modules/troopers2020/_device.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>def showLoadingScreen(app=""): try: display.drawFill(0x000000) display.drawText( 0, 28, "LOADING APP...", 0xFFFFFF, "org18") display.drawText( 0, 52, app, 0xFFFFFF, "org18") display.flush() except: pass def showMessage(message="", icon=None): easydraw.messageCentered(message, Fa...
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{ "lang": "python", "repo": "0x20/ESP32-platform-firmware", "path": "/firmware/python_modules/troopers2020/_device.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> easydraw.messageCentered(message, False, icon) def setLedPower(state): pass<|fim_prefix|># repo: 0x20/ESP32-platform-firmware path: /firmware/python_modules/troopers2020/_device.py import os, machine, display, easydraw, time, neopixel def configureWakeupSource(): machine.RTC().wake_on_ext0(pin = mac...
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{ "lang": "python", "repo": "0x20/ESP32-platform-firmware", "path": "/firmware/python_modules/troopers2020/_device.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: prabath147/physics-Light-Intensity-vs.-Kinetic-Energy path: /5.py from matplotlib import pyplot as plt x = [1,2,3,4] y = [3,3,3,3] plt.plot(x,y) <|fim_suffix|>plt.show() print("plancks constant =6.6^10-34") h =6.624*10**-34 c=3*10**8 print("enter frequency ") f=float(input()) #pri...
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{ "lang": "python", "repo": "prabath147/physics-Light-Intensity-vs.-Kinetic-Energy", "path": "/5.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>plt.show() print("plancks constant =6.6^10-34") h =6.624*10**-34 c=3*10**8 print("enter frequency ") f=float(input()) #print("enter kinetic energy") #k=float(input()) #print("enter wavelength in nm") #l=float(input()) print("enter mass of body") m=int(input()) print("enter velocity of paerticl...
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{ "lang": "python", "repo": "prabath147/physics-Light-Intensity-vs.-Kinetic-Energy", "path": "/5.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>#plottings of Markov Chain and all points plt.scatter(steps,theta_prime_arr,marker="o",s=5,color='Green',label="other points") plt.plot(steps,theta_arr,label="Markov chain",color='Blue') plt.xlabel('steps',fontsize=17) plt.ylabel(r'$\theta$ [steps]',fontsize=17) plt.ylim(-4,10) plt.title('Markov Chain.',f...
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{ "lang": "python", "repo": "ritambasu61/sem2_assignment4_computational_physics", "path": "/problem9.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: ritambasu61/sem2_assignment4_computational_physics path: /problem9.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu May 28 15:47:21 2020 @author: ritambasu """ #In this code n=10000000 should be used for better convergence (but it takes very long time to compute) #for fast c...
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{ "lang": "python", "repo": "ritambasu61/sem2_assignment4_computational_physics", "path": "/problem9.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: tornadoyi/jsshd path: /jsshd/session.py import asyncio import asyncssh from pyplus.collection import qdict from jsshd.command import run_command <|fim_suffix|> def exec_requested(self, command): async def run_callback(command): try: env = qdict(channel=s...
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{ "lang": "python", "repo": "tornadoyi/jsshd", "path": "/jsshd/session.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> def exec_requested(self, command): async def run_callback(command): try: env = qdict(channel=self._chan) result = await run_command(command, env) if isinstance(result, BaseException): self._chan.write(str(result) +...
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{ "lang": "python", "repo": "tornadoyi/jsshd", "path": "/jsshd/session.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> def __init__(self, server): self.__user_server = server def connection_made(self, chan): self._chan = chan def shell_requested(self): return False def exec_requested(self, command): async def run_callback(command): try: env = qdict(cha...
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{ "lang": "python", "repo": "tornadoyi/jsshd", "path": "/jsshd/session.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> return total_loss / len(test_loader), total_acc / len(test_loader) # Main if __name__ == '__main__': # Hyper parameters and configs parser = argparse.ArgumentParser() parser = program_config(parser) opt = parser.parse_args() cfg.init_param(opt) # Get word2vec dict with embed...
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{ "lang": "python", "repo": "universebh/text_generation_fsa_gan", "path": "/lstm_fsa/train.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: universebh/text_generation_fsa_gan path: /lstm_fsa/train.py import json import argparse import torch import torch.nn as nn import pandas as pd from torch import optim from torch.utils.data import DataLoader from gensim.models import Word2Vec from tqdm import tqdm import config as cfg from utils...
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{ "lang": "python", "repo": "universebh/text_generation_fsa_gan", "path": "/lstm_fsa/train.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: gridaco/ui-crawler path: /credentials/credentials_loader.py import pathlib import json current_dir: pathlib.PurePath = pathlib.Path(__file__).parent google_credentials_file = "./google_browser_login_credentials.json" google_credentials_file = current_dir.joinpath(google_credentials_file) print(...
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{ "lang": "python", "repo": "gridaco/ui-crawler", "path": "/credentials/credentials_loader.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def test(): c = load_google_credentials() print(c) if __name__ == '__main__': test()<|fim_prefix|># repo: gridaco/ui-crawler path: /credentials/credentials_loader.py import pathlib import json current_dir: pathlib.PurePath = pathlib.Path(__file__).parent google_credentials_file = "./go...
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{ "lang": "python", "repo": "gridaco/ui-crawler", "path": "/credentials/credentials_loader.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: yifanjiang/moztrap path: /tests/view/lists/test_cases.py """ Tests for test case queryset-filtering by ID and with optional ID prefix. """ from sets import Set from tests import case from moztrap.view.lists.cases import PrefixIDFilter class PrefixIDFilterTest(case.DBTestCase): """Tests fo...
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{ "lang": "python", "repo": "yifanjiang/moztrap", "path": "/tests/view/lists/test_cases.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> """ 3 cases have 2 different prefixes returns cases from both prefixes. """ self.create_testdata() res = self.filter([u"pre", u"moz"]) self.assertEqual( Set([x.name for x in res.all()]), Set(["CV 1", "CV 3", "CV 4"]), ) ...
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{ "lang": "python", "repo": "yifanjiang/moztrap", "path": "/tests/view/lists/test_cases.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> """ID as an int""" td = self.create_testdata() res = self.filter([int(td["cv1"].case.id)]) self.assertEqual(res.get().name, "CV 1") def test_id_and_prefix_from_different_cases_gets_both(self): """ID from one case and prefix from a different case gets both""" ...
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{ "lang": "python", "repo": "yifanjiang/moztrap", "path": "/tests/view/lists/test_cases.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: GodIsMadao/python_learning path: /function.py # -*- coding: utf-8 -*- # import os # print [d for d in os.listdir('.')] d = {'x':'A','y':'B','z':'C'} print [k+'='+v for k,v in d.iteritems()] # 运用列表生成式,可以快速生成list,可以通过一个list推导出另一个list,而代码却十分简洁。 g = (x*x for x in xrange(10)) # print g.next() # for n ...
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{ "lang": "python", "repo": "GodIsMadao/python_learning", "path": "/function.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> n,a,b=0,0,1 while n<max: print b a,b=b,a+b n+=1 fab(9)<|fim_prefix|># repo: GodIsMadao/python_learning path: /function.py # -*- coding: utf-8 -*- # import os # print [d for d in os.listdir('.')] d = {'x':'A','y':'B','z':'C'} print [k+'='+v for k,v in d.iteritems()] # 运用列表生成式,可以快速生成list,可以通过一个lis...
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{ "lang": "python", "repo": "GodIsMadao/python_learning", "path": "/function.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: woodstone121/memorizing path: /english/migrations/0002_auto_20170528_0732.py # -*- coding: utf-8 -*- # Generated by Django 1.11 on 2017-05-28 07:32 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion <|fim_suffix|> dependencies = ...
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{ "lang": "python", "repo": "woodstone121/memorizing", "path": "/english/migrations/0002_auto_20170528_0732.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> dependencies = [ ('english', '0001_initial'), ] operations = [ migrations.AddField( model_name='wrong', name='times', field=models.IntegerField(default=1, verbose_name='次数'), ), migrations.AlterField( model_name='...
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{ "lang": "python", "repo": "woodstone121/memorizing", "path": "/english/migrations/0002_auto_20170528_0732.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> start = time() main() print('Program took %.02f seconds' % (time()-start))<|fim_prefix|># repo: alicekykwan/ProjectEuler-First-100 path: /pe001.py from collections import * from itertools import * from random import * from time import * def main(): <|fim_middle|> ans = 0 for i in range(1000): ...
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{ "lang": "python", "repo": "alicekykwan/ProjectEuler-First-100", "path": "/pe001.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>start = time() main() print('Program took %.02f seconds' % (time()-start))<|fim_prefix|># repo: alicekykwan/ProjectEuler-First-100 path: /pe001.py from collections import * from itertools import * from random import * from time import * def main(): <|fim_middle|> ans = 0 for i in range(1000): ...
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{ "lang": "python", "repo": "alicekykwan/ProjectEuler-First-100", "path": "/pe001.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: alicekykwan/ProjectEuler-First-100 path: /pe001.py from collections import * from itertools import * from random import * from time import * <|fim_suffix|> start = time() main() print('Program took %.02f seconds' % (time()-start))<|fim_middle|>def main(): ans = 0 for i in range(1000): ...
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{ "lang": "python", "repo": "alicekykwan/ProjectEuler-First-100", "path": "/pe001.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> #the CycleGan takes data as a dictionary #easier to work within that constraint than to reright # start an infinite loop and keep reading frames from the webcam until we encounter a keyboard interrupt data = {"A": None, "A_paths": None} while True: #ret is bool returned by cap...
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{ "lang": "python", "repo": "gschian0/webcam-CycleGAN", "path": "/webcam.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> output_size = options["repr_dim_output"] with tf.variable_scope("embedders") as varscope: premise_embedded = nvocab(premise) varscope.reuse_variables() hypothesis_embedded = nvocab(hypothesis) # todo: add option for attentive reader print('TRAINABLE VARIABLES (on...
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{ "lang": "python", "repo": "mitchelljeff/fastqa4tackbp", "path": "/projects/suppoRTE/kvrte.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: mitchelljeff/fastqa4tackbp path: /projects/suppoRTE/kvrte.py # -*- coding: utf-8 -*- import tensorflow as tf from jtr.nn.models import get_total_trainable_variables, get_total_variables, predictor def key_value_reader(inputs, lengths, output_size, contexts=(None, None), s...
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{ "lang": "python", "repo": "mitchelljeff/fastqa4tackbp", "path": "/projects/suppoRTE/kvrte.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>cmd == 'Paused': print('') else: print('')<|fim_prefix|># repo: crysterbater/doots path: /home-configs/.config/polybar/scripts/playpause.py #!usr/bin/python import os cmd = os.popen('playerctl -p spotify status').read() cmd = cmd.split('\n') cmd<|fim_middle|> = cmd[0] if cmd == "Playing": ...
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{ "lang": "python", "repo": "crysterbater/doots", "path": "/home-configs/.config/polybar/scripts/playpause.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: crysterbater/doots path: /home-configs/.config/polybar/scripts/playpause.py #!usr/bin/python import os cmd = os.popen('playerctl<|fim_suffix|> = cmd[0] if cmd == "Playing": print('') elif cmd == 'Paused': print('') else: print('')<|fim_middle|> -p spotify status').read() cmd = ...
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{ "lang": "python", "repo": "crysterbater/doots", "path": "/home-configs/.config/polybar/scripts/playpause.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> sampled_groups = {} num_samples = 0 num_skipped = 0 try: with tqdm(desc='Calculating progress', unit=' messages') as progress_bar: while num_samples < kwargs['total_mails'] and len(results['hits']['hits']) > 0: for hit in results['hits']['hits']: ...
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{ "lang": "python", "repo": "MCECorpus/acl20-crawling-mailing-lists", "path": "/src/index/mail_sampler.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> try: with tqdm(desc='Calculating progress', unit=' messages') as progress_bar: while num_samples < kwargs['total_mails'] and len(results['hits']['hits']) > 0: for hit in results['hits']['hits']: if skip > 0 and num_skipped < skip: ...
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{ "lang": "python", "repo": "MCECorpus/acl20-crawling-mailing-lists", "path": "/src/index/mail_sampler.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: MCECorpus/acl20-crawling-mailing-lists path: /src/index/mail_sampler.py #!/usr/bin/env python3 import json import click from tqdm import tqdm from util import util logger = util.get_logger(__name__) @click.command() @click.argument('index') @click.argument('output_file') @click.option('-q'...
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{ "lang": "python", "repo": "MCECorpus/acl20-crawling-mailing-lists", "path": "/src/index/mail_sampler.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>person('Bob', 35, city='Beijing') def fun(a,b,*,c,*f): print(a,b,c,f)<|fim_prefix|># repo: mrhowe2118/MrHowe path: /mystuff/test.py __author__ = 'MrHowe' def person(name, age, **kw): <|fim_middle|> if 'city' in kw: kw['city']='Shanghai' print('name:', name, 'age:', age, 'other:', kw)
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{ "lang": "python", "repo": "mrhowe2118/MrHowe", "path": "/mystuff/test.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: mrhowe2118/MrHowe path: /mystuff/test.py __author__ = 'MrHowe' def person(name, age, **kw): if 'city' in kw: kw['city']='Shanghai' print('name:', name, 'age:', age, 'other:', kw) <|fim_suffix|>def fun(a,b,*,c,*f): print(a,b,c,f)<|fim_middle|>person('Bob', 35, city='Beijing')
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{ "lang": "python", "repo": "mrhowe2118/MrHowe", "path": "/mystuff/test.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>def fun(a,b,*,c,*f): print(a,b,c,f)<|fim_prefix|># repo: mrhowe2118/MrHowe path: /mystuff/test.py __author__ = 'MrHowe' def person(name, age, **kw): if 'city' in kw: kw['city']='Shanghai' print('name:', name, 'age:', age, 'other:', kw) <|fim_middle|>person('Bob', 35, city='Beijing')
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{ "lang": "python", "repo": "mrhowe2118/MrHowe", "path": "/mystuff/test.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: ChakChak1234/minas path: /thinkorswim/scripts/chat_logs.py #!/usr/bin/python ''' # crontab */5 7-20 * * 1-5 export DISPLAY=:0; /usr/bin/python /home/john/git/john/minas/scripts/chat_logs.py >> /var/log/john/chat_logger.log 2>&1 ''' import pyautogui import pyperclip import difflib import os fro...
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{ "lang": "python", "repo": "ChakChak1234/minas", "path": "/thinkorswim/scripts/chat_logs.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> for room, w in room_windows.iteritems(): print(w.get_name()) print(w.get_pid()) w.activate(0) x, y, width, height = w.get_client_window_geometry() pyautogui.click(x=x+20, y=y+height/2) sleep(.2) pyautogui.hotkey('ctrl', 'a') sleep(.5) pyautogui.hotkey('ctrl', 'c') sleep(.5) data = ...
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{ "lang": "python", "repo": "ChakChak1234/minas", "path": "/thinkorswim/scripts/chat_logs.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>def generateQuestionName(): i = 1 j = 'q' temp_question_name = j + `i` existing_questions = os.listdir("/home/nn899/.question/questions") while (temp_question_name in existing_questions): i = i + 1 temp_question_name = j + `i` return temp_question_name def generate...
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{ "lang": "python", "repo": "nn899/ost-assignments", "path": "/python-solution.cgi", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> print("<div style=\"font-size: 1.5em; line-height: 1.7em; margin-left: 12%;\">") print("<b>") print("<u>") print("<a href=\"http://cims.nyu.edu/~nn899/cgi-bin/question.cgi?add_question=true\"; style=\"color: black\";>") print("Add question") print("</a>") print("</u>") prin...
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{ "lang": "python", "repo": "nn899/ost-assignments", "path": "/python-solution.cgi", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: nn899/ost-assignments path: /python-solution.cgi _user_name): """The questions for the user get read here""" DEVNULL = open(os.devnull, 'wb') question_names_pipe = subprocess.Popen(['ls', '-1', "/home/"+clean_user_name+"/.question/questions"], stdout=subprocess.PIPE, stderr=DEVNULL) ...
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{ "lang": "python", "repo": "nn899/ost-assignments", "path": "/python-solution.cgi", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> if angle not in (self.RIGHT, self.DOWN, self.LEFT, self.UP): raise ValueError('Unexpected angle value: %s' % angle) self.__angle = angle @property def angle(self): return self.__angle<|fim_prefix|># repo: dendygeeks/tanxees.client.ai.python path: /src/tanxees/...
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{ "lang": "python", "repo": "dendygeeks/tanxees.client.ai.python", "path": "/src/tanxees/api/Direction.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: dendygeeks/tanxees.client.ai.python path: /src/tanxees/api/Direction.py from tanxees.utils.Comparer import ComparerMixin class Direction(ComparerMixin): COMPARE_ATTRS = ('angle') RIGHT = 0 DOWN = 90 LEFT = 180 UP = 270 <|fim_suffix|> @property def angle(self): ...
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{ "lang": "python", "repo": "dendygeeks/tanxees.client.ai.python", "path": "/src/tanxees/api/Direction.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: Omkar02/FAANG path: /DP_14_EggDropping.py import __main__ as main from Helper.TimerLogger import CodeTimeLogging fileName = main.__file__ fileName = fileName.split('\\')[-1] CodeTimeLogging(Flag='F', filename=fileName, Tag='Dynamic-Programing', Difficult='Medium') <|fim_suffix|> for i in ran...
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{ "lang": "python", "repo": "Omkar02/FAANG", "path": "/DP_14_EggDropping.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> for i in range(2, noEggs + 1): for j in range(1, nofloar + 1): for k in range(1, j + 1): print([i - 1, k - 1], [i, j - k], [i, j, k]) dp[i][j] = min(1 + max(dp[i - 1][k - 1], dp[i][j - k]) for k in range(1, j + 1)) ...
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{ "lang": "python", "repo": "Omkar02/FAANG", "path": "/DP_14_EggDropping.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: dev-lusaja/Ruc-Consultant path: /worker/main.py # -*- coding: utf-8 -*- import yaml import logging from ruc.reducedPattern import reducedPattern <|fim_suffix|>if __name__ == '__main__': try: Run() except Exception as e: msg = 'Error: %s' % (e) logging.error(msg)<|fim_middle|>logging.basi...
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{ "lang": "python", "repo": "dev-lusaja/Ruc-Consultant", "path": "/worker/main.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> file = open('config/config.yml', 'r') config = yaml.load(file) if (config is None): raise Exception('Config file not found or format error.') options = {} options['url'] = config['sunat']['url'] options['zip_path'] = config['paths']['zip'] options['unzip_path'] = config['paths']['unzip'] option...
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{ "lang": "python", "repo": "dev-lusaja/Ruc-Consultant", "path": "/worker/main.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> @property def quantity(self): return self.quantity @property def average_price(self): return self.average_price @property def commission(self): return self.commission @property def purchased_date(self): return self.purchased_date @pro...
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{ "lang": "python", "repo": "kevmartian/pyTD", "path": "/pyTD/accounts/watchlists.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: kevmartian/pyTD path: /pyTD/accounts/watchlists.py # MIT License # Copyright (c) 2018 Addison Lynch # 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 restrictio...
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{ "lang": "python", "repo": "kevmartian/pyTD", "path": "/pyTD/accounts/watchlists.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: google/skia path: /infra/bots/assets/chromebook_x86_64_gles/create_and_upload.py #!/usr/bin/env python # # Copyright 2017 Google Inc. # # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Create the asset and upload it.""" import argparse i...
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{ "lang": "python", "repo": "google/skia", "path": "/infra/bots/assets/chromebook_x86_64_gles/create_and_upload.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> sk = os.path.realpath(os.path.join( FILE_DIR, os.pardir, os.pardir, os.pardir, os.pardir, 'bin', 'sk')) if os.name == 'nt': sk += '.exe' if not os.path.isfile(sk): raise Exception('`sk` not found at %s; maybe you need to run bin/fetch-sk?') # Upload the asset. subprocess.check_cal...
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{ "lang": "python", "repo": "google/skia", "path": "/infra/bots/assets/chromebook_x86_64_gles/create_and_upload.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> t = int(input()) for t_itr in range(t): n = int(input()) q = list(map(int, input().rstrip().split())) minimumBribes(q)<|fim_prefix|># repo: mariusj/algo path: /hackerrank/bribes.py #!/bin/python3 import math import os import random import re import sys # Complete the ...
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{ "lang": "python", "repo": "mariusj/algo", "path": "/hackerrank/bribes.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: mariusj/algo path: /hackerrank/bribes.py #!/bin/python3 import math import os import random import re import sys # Complete the minimumBribes function below. def minimumBribes(q): count = 0 qq = [ x for x in range(1, len(q) + 1)] for i, v in enumerate(q): if (q[i] == qq[i]): # p...
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{ "lang": "python", "repo": "mariusj/algo", "path": "/hackerrank/bribes.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>algoritmo que determine si hay mas de un orden topologico? si la coleccion pending llega a tener mas de un elemento<|fim_prefix|># repo: joseuribe0624/Data_Structure path: /codigos/toposort.py def toposort(G): ans = list() indeg = [ 0 for _ in len(G)] for u in range(len(G)): for v in G[u]: indeg[...
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{ "lang": "python", "repo": "joseuribe0624/Data_Structure", "path": "/codigos/toposort.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: joseuribe0624/Data_Structure path: /codigos/toposort.py def toposort(G): ans = list() indeg = [ 0 for _ in len(G)] for u in range(len(G)): for v in G[u]: indeg[v] += 1 pending = list() for u in range(len(G)): if indeg[u]==0: pending.append(u) <|fim_suffix|>algoritmo que determi...
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{ "lang": "python", "repo": "joseuribe0624/Data_Structure", "path": "/codigos/toposort.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|># Save the vocabulary into a csv file. sorteddict.loc[:10000, 'words'].to_frame().to_csv('Vocabulary.csv', index = False, quoting = csv.QUOTE_NONE, escapechar = ' ') print('Longest sentence has {} tokens'.format(maxlen)) print(maxSen)<|fim_prefix|># repo: minjielu/Reinforcement-Learning-Chatbot path: /Ma...
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{ "lang": "python", "repo": "minjielu/Reinforcement-Learning-Chatbot", "path": "/Main codes/generate_vocabulary.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: minjielu/Reinforcement-Learning-Chatbot path: /Main codes/generate_vocabulary.py # This file generate the vocabulary. import os import pandas as pd import numpy as np import operator, csv worddict = {} cnt = 0 maxlen = 0 maxSen = "" # Count the frequencies of occurrence of all words. for filena...
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{ "lang": "python", "repo": "minjielu/Reinforcement-Learning-Chatbot", "path": "/Main codes/generate_vocabulary.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: nandoflorestan/pluserable path: /tests/models.py """Models for tests.""" from sqlalchemy.ext.declarative import declarative_base from bag.sqlalchemy.tricks import MinimalBase from pluserable.data.sqlalchemy.models import ( ActivationMixin, GroupMixin, UsernameMixin, UserGroupMixin) Base = d...
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{ "lang": "python", "repo": "nandoflorestan/pluserable", "path": "/tests/models.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> class UserGroup(UserGroupMixin, Base): # noqa pass class Activation(ActivationMixin, Base): # noqa pass<|fim_prefix|># repo: nandoflorestan/pluserable path: /tests/models.py """Models for tests.""" from sqlalchemy.ext.declarative import declarative_base from bag.sqlalchemy.tricks import Min...
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{ "lang": "python", "repo": "nandoflorestan/pluserable", "path": "/tests/models.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: alexpulich/embeddings-evaluation path: /src/evaluation/strategies/oov_strategies.py import logging import deepcut import numpy as np from .base import OOVStrategy logger = logging.getLogger(__name__) class NoActionOOVStrategy(OOVStrategy): def handle_oov(self, embeddings, X, words): ...
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{ "lang": "python", "repo": "alexpulich/embeddings-evaluation", "path": "/src/evaluation/strategies/oov_strategies.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> # collecting oov words for query in X: for query_word in query: if query_word not in words: oov_words.add(query_word) # iterating through each oov-word for oov_word in oov_words: cut_word = oov_word wo...
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{ "lang": "python", "repo": "alexpulich/embeddings-evaluation", "path": "/src/evaluation/strategies/oov_strategies.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> # iterating through each oov-word for oov_word in oov_words: cut_word = oov_word words_with_same_prefix = set() # cutting letter by letter until we find some words with the same prefix while len(cut_word) and cut_word not in words: ...
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{ "lang": "python", "repo": "alexpulich/embeddings-evaluation", "path": "/src/evaluation/strategies/oov_strategies.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>cno=dff["Customer No"][len(overall_cno)-1] + 1 curr_user=[] curr_phone=[] curr_date=[] curr_time=[] curr_name=[] curr_price=[] curr_quantity=[] curr_amount=[] curr_cno=[] def print_bill(): if os.path.isfile('print.txt'): os.remove('print.txt') with open('print.txt','a') as file: ...
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{ "lang": "python", "repo": "atul27-git/SuperMarket-Recommender-System", "path": "/main.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>def det() : w11=tk.Tk() w11.title("Find Details") w11.configure(background=mycolor) w11.geometry('600x600') l12=tk.Label(w11,text="Username",fg="White", bg=mycolor) l12.place(x=100,y=50) e12=tk.Entry(w11) e12.place(x=160,y=50) l22=tk.Label(w11,text="Phone",fg="Whit...
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{ "lang": "python", "repo": "atul27-git/SuperMarket-Recommender-System", "path": "/main.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: atul27-git/SuperMarket-Recommender-System path: /main.py import tkinter as tk from tkinter import * import datetime from functools import partial import requests import pandas as pd import numpy as np import sys import os import tkinter.ttk from mlxtend.preprocessing import TransactionEncoder fr...
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{ "lang": "python", "repo": "atul27-git/SuperMarket-Recommender-System", "path": "/main.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: fossabot/beehive path: /beehive/common/task/manager.py ''' Created on Nov 3, 2015 @author: darkbk ''' import logging from beecell.logger.helper import LoggerHelper from signal import SIGHUP, SIGABRT, SIGILL, SIGINT, SIGSEGV, SIGTERM, SIGQUIT from signal import signal from datetime import timedel...
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{ "lang": "python", "repo": "fossabot/beehive", "path": "/beehive/common/task/manager.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> #run_command(['celery', 'multi', 'stopwait', 'worker1', # '--pidfile="run/celery-%n.pid"']) task_manager.stop() #for sig in (SIGHUP, SIGABRT, SIGILL, SIGINT, SIGSEGV, SIGTERM, SIGQUIT): # signal(sig, terminate) task_manager.worker_main(argv) ...
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{ "lang": "python", "repo": "fossabot/beehive", "path": "/beehive/common/task/manager.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># @admin.register(models.Equipment) # class EquipmentAdmin(VersionAdmin): # search_fields = ['nombre'] # list_filter = ('type_equipment', 'moneda') # list_display = [ # 'nombre', # 'unidad', # 'type_equipment', # 'moneda', # 'precio' # ] # @admin.r...
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{ "lang": "python", "repo": "sebaskun/budget_app", "path": "/backend/resource/admin.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|># # tab_overview = ( # # (None, { # # 'fields': ('nombre', 'unidad', 'type_manpower') # # }), # # ) # # tab_cost = ( # # ('Costo', { # # 'fields': ('type_cost', 'moneda', 'precio') # # }), # # ) # # tabs = [ # # ('Overvie...
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{ "lang": "python", "repo": "sebaskun/budget_app", "path": "/backend/resource/admin.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_prefix|># repo: sebaskun/budget_app path: /backend/resource/admin.py # # -*- coding: utf-8 -*- # from __future__ import unicode_literals # from django.contrib import admin # from reversion.admin import VersionAdmin # # from tabbed_admin import TabbedModelAdmin # from . import models # @admin.register(models.M...
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{ "lang": "python", "repo": "sebaskun/budget_app", "path": "/backend/resource/admin.py", "mode": "psm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|>class Markup: def __init__(self): self.elements = [] def header(self, level: int, text: str): self.elements.append(Header(level, text)) return self def code_block(self, text: str): self.elements.append(CodeBlock(text)) return self def section(self...
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{ "lang": "python", "repo": "servirtium/servirtium-python", "path": "/servirtium/markup.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: servirtium/servirtium-python path: /servirtium/markup.py class Header: def __init__(self, level: int, text: str): self.level = level self.text = text def as_markdown(self): return f'{"#" * self.level} {self.text}\n' class CodeBlock: <|fim_suffix|> class Markup: ...
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{ "lang": "python", "repo": "servirtium/servirtium-python", "path": "/servirtium/markup.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> return self.header(level, title).code_block(body) def as_markdown(self): return '\n'.join([e.as_markdown() for e in self.elements])<|fim_prefix|># repo: servirtium/servirtium-python path: /servirtium/markup.py class Header: def __init__(self, level: int, text: str): self....
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{ "lang": "python", "repo": "servirtium/servirtium-python", "path": "/servirtium/markup.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: DataStudySquad/CS_basics path: /leetcode_python/String/reverse-words-in-a-string-ii.py """ Reverse Words in a String II # https://aaronice.gitbook.io/lintcode/string/reverse-words-in-a-string-ii # https://www.programcreek.com/2014/05/leetcode-reverse-words-in-a-string-ii-java/ Given an input s...
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{ "lang": "python", "repo": "DataStudySquad/CS_basics", "path": "/leetcode_python/String/reverse-words-in-a-string-ii.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> def reverseWords(self, s): """ :type s: a list of 1 length strings (List[str]) :rtype: nothing """ s.reverse() i = 0 while i < len(s): j = i while j < len(s) and s[j] != " ": j += 1 for k in ran...
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{ "lang": "python", "repo": "DataStudySquad/CS_basics", "path": "/leetcode_python/String/reverse-words-in-a-string-ii.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: plvaliente/Trabajos-Academicos path: /Algoritmos y Estructuras de Datos 3/tp3/plot.py #COMPILAR CON PYTHON3 import pandas as pd import seaborn as sns import matplotlib.pyplot as plt import pylab as pl import random import numpy as np ns = range(10,151) ms = [16,13,16,14,19,17,20,23,26,26,29,32,...
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{ "lang": "python", "repo": "plvaliente/Trabajos-Academicos", "path": "/Algoritmos y Estructuras de Datos 3/tp3/plot.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> ''' plt.clf() df3 = pd.DataFrame() #df3 = pd.DataFrame({'Backtracking': tiemposBack, 'n': ns,'Complejidad (2^n)*(n^2)': complejidad }) df3['n'] = ns df3['Backtracking'] = tiemposBack df3['Complejidad (2^n)*(n^2)'] = complejidad df3.plot(x='n', logy=True) plt.ylabel('Tiempo (microsegundos)') correlati...
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{ "lang": "python", "repo": "plvaliente/Trabajos-Academicos", "path": "/Algoritmos y Estructuras de Datos 3/tp3/plot.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: shashankg7/curriculum-learning path: /ConvNet/image_classification/model_baseline_sorted.py import keras import json import numpy as np import util.emnist as emnist import util.data as data_util import util.model as model_util import results.results as results_util """ We pretend sorted model is...
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{ "lang": "python", "repo": "shashankg7/curriculum-learning", "path": "/ConvNet/image_classification/model_baseline_sorted.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> #Convert data to be used in model x, y = data_util.prep(x, y, classes) val_x, val_y = data_util.prep(val_x, val_y, classes) test_x, test_y = data_util.prep(data['test_x'], data['test_y'], classes) #Create Tasks for comparison sake, just going through unsorted data ...
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{ "lang": "python", "repo": "shashankg7/curriculum-learning", "path": "/ConvNet/image_classification/model_baseline_sorted.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> samples_seen += len(tasks_x[task_index]) result_point = { "samples_seens" : samples_seen, "categorial_accuracy" : score[categorial_accuracy_index], "top_2_accuracy" : score[top_2_accuracy_index], ...
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{ "lang": "python", "repo": "shashankg7/curriculum-learning", "path": "/ConvNet/image_classification/model_baseline_sorted.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>test = Udacian("Mohammed Bokhari", "Jeddah", "Student", "Full-Stack", "--") test.getInformation()<|fim_prefix|># repo: ndn94/session-two-exercise path: /session-two-exercise.py class Udacian: def __init__(self, name, city, enrollment, nanodegree, status): self.name = name self.city = ...
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{ "lang": "python", "repo": "ndn94/session-two-exercise", "path": "/session-two-exercise.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: ndn94/session-two-exercise path: /session-two-exercise.py class Udacian: def __init__(self, name, city, enrollment, nanodegree, status): <|fim_suffix|>test = Udacian("Mohammed Bokhari", "Jeddah", "Student", "Full-Stack", "--") test.getInformation()<|fim_middle|> self.name = name ...
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{ "lang": "python", "repo": "ndn94/session-two-exercise", "path": "/session-two-exercise.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> def getInformation(self): print(self.name + " " + self.city + " " + self.enrollment + " " + self.nanodegree + " " + self.status) test = Udacian("Mohammed Bokhari", "Jeddah", "Student", "Full-Stack", "--") test.getInformation()<|fim_prefix|># repo: ndn94/session-two-exercise path: /session-tw...
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{ "lang": "python", "repo": "ndn94/session-two-exercise", "path": "/session-two-exercise.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: andrussha/lab_7 path: /First.py ''' Дана послідовність цілих чисел а1, ... a30. Нехай М - найбільше з цих чисел, а m - найменше. Вивести на екран у порядку зростання всі цілі з інтерва<|fim_suffix|>ax(a) m = min(a) z = [] for i in range(m,M+1): z.append(i) for j in ran...
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{ "lang": "python", "repo": "andrussha/lab_7", "path": "/First.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> z.remove(z[j]) print(z) key = input('Again? Yes - 1, no - 2: ') if key == '1': continue else: print('Bye') break<|fim_prefix|># repo: andrussha/lab_7 path: /First.py ''' Дана послідовність цілих чисел а1, ... a30. Нехай М - найбільше з цих чисел, а m - найменше. В...
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hard
{ "lang": "python", "repo": "andrussha/lab_7", "path": "/First.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|>ax(a) m = min(a) z = [] for i in range(m,M+1): z.append(i) for j in range(len(z)): if z[j] in a: z.remove(z[j]) print(z) key = input('Again? Yes - 1, no - 2: ') if key == '1': continue else: print('Bye') break<...
code_fim
medium
{ "lang": "python", "repo": "andrussha/lab_7", "path": "/First.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> # testcase 5: default form self.assertEqual(controller.get_transition_action(transition), default_url) # testcase 6: complete task wizard self.assertEqual(controller.get_transition_action(transition), wizard_url) def t...
code_fim
hard
{ "lang": "python", "repo": "sensecs1/opengever.core", "path": "/opengever/task/tests/test_guards.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_suffix|> # testcase 3: not responsible -> default form self.expect(task.task_type_category).result( 'bidirectional_by_reference') self.expect( controller_mock._is_responsible_or_inbox_group_user()).result( False) # tes...
code_fim
hard
{ "lang": "python", "repo": "sensecs1/opengever.core", "path": "/opengever/task/tests/test_guards.py", "mode": "spm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: sensecs1/opengever.core path: /opengever/task/tests/test_guards.py def setUp(self): super(TestTaskTransitionController, self).setUp() # we need to have a site root for making the cachecky work. root = self.create_dummy(getSiteManager=getSiteManager, ...
code_fim
hard
{ "lang": "python", "repo": "sensecs1/opengever.core", "path": "/opengever/task/tests/test_guards.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }
<|fim_prefix|># repo: ryansmick/autocli path: /src/internal/argument.py # Class to represent an argument on the command line # Can be user for both required arguments as well as values for optional arguments class Argument(object): def __init__(self, name=None): <|fim_suffix|> @classmethod def build(cls, ar...
code_fim
easy
{ "lang": "python", "repo": "ryansmick/autocli", "path": "/src/internal/argument.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> @classmethod def build(cls, argument_dict): return Argument(name=argument_dict.get('name', None))<|fim_prefix|># repo: ryansmick/autocli path: /src/internal/argument.py # Class to represent an argument on the command line # Can be user for both required arguments as well as values for opt...
code_fim
medium
{ "lang": "python", "repo": "ryansmick/autocli", "path": "/src/internal/argument.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ucode3715/IngSoftware path: /old/sistemaEstacionamiento/testEstacionamiento.py ''' Created on 16/10/2014 @author: Mugul ''' import unittest from estacionamiento import * class Test(unittest.TestCase): ################################################################## ###...
code_fim
hard
{ "lang": "python", "repo": "ucode3715/IngSoftware", "path": "/old/sistemaEstacionamiento/testEstacionamiento.py", "mode": "psm", "license": "unknown", "source": "the-stack-v2" }