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<|fim_suffix|> """ dups = {} for num in nums: if num in dups: return num dups[num] = 1 return -1<|fim_prefix|># repo: AmrMKayid/KayAlgo path: /leetcode/287-find-the-duplicate-number.py class Solution: def findDuplicate(self, nums): """<|fim_middle|> :type nums: List[int]...
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{ "lang": "python", "repo": "AmrMKayid/KayAlgo", "path": "/leetcode/287-find-the-duplicate-number.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: AmrMKayid/KayAlgo path: /leetcode/287-find-the-duplicate-number.py class Solution: def findDuplicate(self, nums): """<|fim_suffix|> """ dups = {} for num in nums: if num in dups: return num dups[num] = 1 return -1<|fim_middle|> :type nums: List[int]...
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{ "lang": "python", "repo": "AmrMKayid/KayAlgo", "path": "/leetcode/287-find-the-duplicate-number.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># never prompt for anything assumeyes=1 # if yum is dead/busy, try again later retries=1 timeout=5 # but support caching http_caching=all # refresh metadata every time we are run metadata_expire=0 # all I really need is primary.xml.gz mdpolicy=group:primary # define our one repo [%(reponame)s] name=R...
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{ "lang": "python", "repo": "bpluly/crichton", "path": "/crichtonweb/cli/crichtoncli/commands/indexyumrepo.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: bpluly/crichton path: /crichtonweb/cli/crichtoncli/commands/indexyumrepo.py # Crichton, Admirable Source Configuration Management # Copyright 2012 British Broadcasting Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance...
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{ "lang": "python", "repo": "bpluly/crichton", "path": "/crichtonweb/cli/crichtoncli/commands/indexyumrepo.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: nookasaitriveni/SUMMIT-blood-samples path: /summit_blood_samples/blood_sample/views.py for x in range(4)] days.reverse() return day, days class DownloadBloodSampleView(LoginRequiredMixin, View): template_name = 'download-blood-sample.html' download_blood...
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{ "lang": "python", "repo": "nookasaitriveni/SUMMIT-blood-samples", "path": "/summit_blood_samples/blood_sample/views.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> return render(request, self.receipt_confirm_template, { "total_records": total_records, "record_found_cnt": record_found_cnt, "mismatch_site_found_cnt": mismatch_site_found_cnt, "mismatch_blood_draw_found_cnt": mismatch_blood_draw_found_cnt, ...
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{ "lang": "python", "repo": "nookasaitriveni/SUMMIT-blood-samples", "path": "/summit_blood_samples/blood_sample/views.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: nookasaitriveni/SUMMIT-blood-samples path: /summit_blood_samples/blood_sample/views.py SampleId=record['Sample ID'], TissueSubType=record['Tissue sub-type'], ReceivedDateTime=record['Received DateTime'], Volume=record['Volume...
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{ "lang": "python", "repo": "nookasaitriveni/SUMMIT-blood-samples", "path": "/summit_blood_samples/blood_sample/views.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: scamargo/big-scary path: /backend/hackathon_ubi/project/main_proj/api/routes.py from flask import jsonify, request, Response import json from flask_cors import cross_origin from . import api_app from .models import SurveyDatas from project import db import requests import logging logger = loggin...
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{ "lang": "python", "repo": "scamargo/big-scary", "path": "/backend/hackathon_ubi/project/main_proj/api/routes.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> yield json.dumps({ "UBI": convert_to_digits(prev_release.amount), "Gender": prev_release.gender, "Ethnicity": prev_release.ethnicity, "Intent": prev_release.intent, "COL": convert_to_digits(prev_release.cost) ...
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{ "lang": "python", "repo": "scamargo/big-scary", "path": "/backend/hackathon_ubi/project/main_proj/api/routes.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> class Migration(migrations.Migration): dependencies = [ ('interface', '0008_auto_20160530_1805'), ] operations = [ migrations.RunPython(migrate_results), ]<|fim_prefix|># repo: gmichel-csaa/linty path: /interface/migrations/0009_auto_20160530_1805.py # -*- coding: utf-8...
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{ "lang": "python", "repo": "gmichel-csaa/linty", "path": "/interface/migrations/0009_auto_20160530_1805.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: gmichel-csaa/linty path: /interface/migrations/0009_auto_20160530_1805.py # -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2016-05-31 01:05 from __future__ import unicode_literals from django.db import migrations <|fim_suffix|> operations = [ migrations.RunPython(migrate_result...
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{ "lang": "python", "repo": "gmichel-csaa/linty", "path": "/interface/migrations/0009_auto_20160530_1805.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def migrate_results(apps, schema_editor): Build = apps.get_model('interface', 'Build') Result = apps.get_model('interface', 'Result') for build in Build.objects.all(): Result.objects.create( build=build, linter='PEP8', output=build.result_old ...
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{ "lang": "python", "repo": "gmichel-csaa/linty", "path": "/interface/migrations/0009_auto_20160530_1805.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: TanmDL/black-box-ripper path: /generators/cifar_progan/generator.py from torch import nn import torch from .eqalized_layers import * class Generator(nn.Module): def __init__(self, ngpu = 1): super(Generator, self).__init__() self.block_1 = nn.Sequential( EqualLin...
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{ "lang": "python", "repo": "TanmDL/black-box-ripper", "path": "/generators/cifar_progan/generator.py", "mode": "psm", "license": "CC0-1.0", "source": "the-stack-v2" }
<|fim_suffix|> def generate_7(self, samples): old_output = self.block_3(self.block_2(self.block_1(samples))) output = self.block_4_to_rgb(self.block_4(old_output)) return output def generate_8(self, samples, alpha): old_output = self.block_4(self.block_3(self.block_2(self.block_...
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{ "lang": "python", "repo": "TanmDL/black-box-ripper", "path": "/generators/cifar_progan/generator.py", "mode": "spm", "license": "CC0-1.0", "source": "the-stack-v2" }
<|fim_suffix|> from .router import Router # from .server import Server # from .misc import Method, Mime, StatusCode, BadRequest, InternalServerError def hello(): return "hello"<|fim_prefix|># repo: ikanago/hey_bbs path: /backend/libbbs/__init__.py # from .body import Body # from .cors import CorsMiddleware # fro...
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{ "lang": "python", "repo": "ikanago/hey_bbs", "path": "/backend/libbbs/__init__.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ikanago/hey_bbs path: /backend/libbbs/__init__.py # from .body import Body # from .cors import CorsMiddleware # from .middleware impor<|fim_suffix|> Mime, StatusCode, BadRequest, InternalServerError def hello(): return "hello"<|fim_middle|>t Middleware, Next # from .request import Request #...
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{ "lang": "python", "repo": "ikanago/hey_bbs", "path": "/backend/libbbs/__init__.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> signer.verify_job_asset(signature=signature, job_id="job1", user_id="john", filename="res.tiff", expires=expires) time.sleep(1.1) with pytest.raises(ResultLinkExpiredException): signer.verify_job_asset( signature=signature, job_id="job1", user_id="john", filename="res.tiff"...
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{ "lang": "python", "repo": "Open-EO/openeo-python-driver", "path": "/tests/test_urlsigning.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: Open-EO/openeo-python-driver path: /tests/test_urlsigning.py import time import pytest from openeo_driver.errors import CredentialsInvalidException, ResultLinkExpiredException from openeo_driver.urlsigning import UrlSigner @pytest.mark.parametrize("expiration", [None, 10]) def test_signer_bas...
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{ "lang": "python", "repo": "Open-EO/openeo-python-driver", "path": "/tests/test_urlsigning.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> with pytest.raises(CredentialsInvalidException): signer.verify_job_asset( signature=signature[:-1], job_id="job1", user_id="john", filename="res.tiff", expires=expires ) with pytest.raises(CredentialsInvalidException): signer.verify_job_asset( signat...
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{ "lang": "python", "repo": "Open-EO/openeo-python-driver", "path": "/tests/test_urlsigning.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>ext_modules = [ Extension( 'pycocotools._mask', sources=['../common/maskApi.c', 'pycocotools/_mask.pyx'], include_dirs = [np.get_include(), '../common'], extra_compile_args=extra_compile_args, ) ] readme = open('README.rst', 'r') README_TEXT = readme.read() readme....
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{ "lang": "python", "repo": "zmic/cocoapi", "path": "/PythonAPI/setup.py", "mode": "spm", "license": "BSD-2-Clause-Views", "source": "the-stack-v2" }
<|fim_prefix|># repo: zmic/cocoapi path: /PythonAPI/setup.py from setuptools import setup, Extension import numpy as np import shutil import distutils.ccompiler # To compile and install locally run "python setup.py build_ext --inplace" # To install library to Python site-packages run "python setup.py build_ext instal...
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{ "lang": "python", "repo": "zmic/cocoapi", "path": "/PythonAPI/setup.py", "mode": "psm", "license": "BSD-2-Clause-Views", "source": "the-stack-v2" }
<|fim_suffix|> """Update a work""" raise Error(NOTALLOWED) @json_response @api_response @check_token def DELETE(self, name): """Delete a work""" raise Error(NOTALLOWED)<|fim_prefix|># repo: baconwaffles/identifier_translation_service path: /src/titlesctrl.py import re im...
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{ "lang": "python", "repo": "baconwaffles/identifier_translation_service", "path": "/src/titlesctrl.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: baconwaffles/identifier_translation_service path: /src/titlesctrl.py import re import web import urllib from api import * from errors import * from models import Work, WorkType, Identifier, UriScheme logger = logging.getLogger(__name__) class TitlesController(object): """Handles title relat...
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{ "lang": "python", "repo": "baconwaffles/identifier_translation_service", "path": "/src/titlesctrl.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: webknjaz/python3-qrcode path: /qrcode/image/base.py class BaseImage(object): def __init__(self, border, width, box_size): <|fim_suffix|> def drawrect(self, row, col): raise NotImplementedError("BaseImage.drawrect") def save(self, stream, kind=None): raise NotImplemente...
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{ "lang": "python", "repo": "webknjaz/python3-qrcode", "path": "/qrcode/image/base.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> raise NotImplementedError("BaseImage.save")<|fim_prefix|># repo: webknjaz/python3-qrcode path: /qrcode/image/base.py class BaseImage(object): def __init__(self, border, width, box_size): self.kind = None self.border = border self.width = width self.box_size = b...
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{ "lang": "python", "repo": "webknjaz/python3-qrcode", "path": "/qrcode/image/base.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>test_data_matrix = Featurizer(TEST_DATA_FILE_NAME, test=True).featurize() test_batch_size = test_data_matrix.shape[0] # This should return the probabilities. predictions = learned_model.predict(test_data_matrix, batch_size=test_batch_size) predictions_file = open('saved_files/model_probabilities.pkl', 'w...
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{ "lang": "python", "repo": "SVAI/MutRackers", "path": "/model/train_and_test.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># This should return the probabilities. predictions = learned_model.predict(test_data_matrix, batch_size=test_batch_size) predictions_file = open('saved_files/model_probabilities.pkl', 'wb') pickle.dump(predictions, predictions_file)<|fim_prefix|># repo: SVAI/MutRackers path: /model/train_and_test.py fro...
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{ "lang": "python", "repo": "SVAI/MutRackers", "path": "/model/train_and_test.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: SVAI/MutRackers path: /model/train_and_test.py from learner import MutationLearner from featurize import Featurizer import pickle <|fim_suffix|># Trains the learner. train_learner = MutationLearner(TRAIN_DATA_FILE_NAME) learned_model = train_learner.train() test_data_matrix = Featurizer(TEST_D...
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{ "lang": "python", "repo": "SVAI/MutRackers", "path": "/model/train_and_test.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>w, h = 400, 300 bunch = GGBunch() bunch.add_plot(p1, 0, 0, w, h) bunch.add_plot(p2, w, 0, w, h) bunch<|fim_prefix|># repo: Tryweirder/lets-plot-docs path: /docs/_downloads/0c9a20cb0c88082cd7333beed1f2d23a/plot__fixed_coordinates.py """ Fixed Coordinates ================= Cartesian coordinates...
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{ "lang": "python", "repo": "Tryweirder/lets-plot-docs", "path": "/docs/_downloads/0c9a20cb0c88082cd7333beed1f2d23a/plot__fixed_coordinates.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Tryweirder/lets-plot-docs path: /docs/_downloads/0c9a20cb0c88082cd7333beed1f2d23a/plot__fixed_coordinates.py """ Fixed Coordinates ================= Cartesian coordinates with fixed aspect ratio between ``x`` and ``y`` units. <|fim_suffix|>df = pd.read_csv('https://raw.githubuserco...
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{ "lang": "python", "repo": "Tryweirder/lets-plot-docs", "path": "/docs/_downloads/0c9a20cb0c88082cd7333beed1f2d23a/plot__fixed_coordinates.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>from lets_plot import * LetsPlot.setup_html() # %% df = pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv') # %% p = ggplot(df, aes('cty', 'hwy')) + geom_point() p1 = p + ggtitle('Default') p2 = p + coord_fixed() + ggtitle('With Fixed Coordinates') ...
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{ "lang": "python", "repo": "Tryweirder/lets-plot-docs", "path": "/docs/_downloads/0c9a20cb0c88082cd7333beed1f2d23a/plot__fixed_coordinates.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: onepercentclub/onepercentclub-site path: /apps/recurring_donations/tests/test_commands.py from decimal import Decimal from apps.recurring_donations.models import MonthlyOrder from apps.recurring_donations.tests.model_factory import MonthlyDonorFactory, MonthlyDonorProjectFactory from bluebottle.b...
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{ "lang": "python", "repo": "onepercentclub/onepercentclub-site", "path": "/apps/recurring_donations/tests/test_commands.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> def test_prepare(self): # Create a monthly donor with a preferred project monthly_donor1 = MonthlyDonorFactory(user=self.user1, amount=25) monthly_donor1_project = MonthlyDonorProjectFactory(donor=monthly_donor1, project=self.projects[0]) # Create a monthly donor witho...
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{ "lang": "python", "repo": "onepercentclub/onepercentclub-site", "path": "/apps/recurring_donations/tests/test_commands.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> # Should have one donation self.assertEqual(monthly_order.donations.count(), 1) # Donation should have amount 25 and go to first project self.assertEqual(monthly_order.donations.all()[0].amount, Decimal('25')) self.assertEqual(monthly_order.donations.all()[0].projec...
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{ "lang": "python", "repo": "onepercentclub/onepercentclub-site", "path": "/apps/recurring_donations/tests/test_commands.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: HEPData/hepdata_lib path: /tests/test_helpers.py #!/usr/bin/env python """Test helpers.""" from unittest import TestCase import numpy as np from hepdata_lib.helpers import relative_round from hepdata_lib.helpers import get_number_precision from hepdata_lib.helpers import get_value_precision_wrt...
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{ "lang": "python", "repo": "HEPData/hepdata_lib", "path": "/tests/test_helpers.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Test format is # (container, key_for_values, key_for_uncertanties, significant_digits) # uncertainty has a single value cont = {"val": [1.23456, 1234.56, 0.0012345, 0.123], "unc": [0.00123, 1.23, 0.012, 0.12], "val_round": [1.2346, 1234.6, ...
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{ "lang": "python", "repo": "HEPData/hepdata_lib", "path": "/tests/test_helpers.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Ferald89/deicaphone path: /smanager/services/models/comments.py """Comments model.""" # Django from django.db import models # Utilities from smanager.utils.models import SManageModel class Comment(SManageModel): <|fim_suffix|> made_in = models.ForeignKey( "services.Service"...
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{ "lang": "python", "repo": "Ferald89/deicaphone", "path": "/smanager/services/models/comments.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> made_by = models.ForeignKey( "users.User", on_delete=models.SET_NULL, null=True ) made_in = models.ForeignKey( "services.Service", on_delete=models.SET_NULL, null=True ) is_act...
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{ "lang": "python", "repo": "Ferald89/deicaphone", "path": "/smanager/services/models/comments.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> made_in = models.ForeignKey( "services.Service", on_delete=models.SET_NULL, null=True ) is_active = models.BooleanField( 'Es Activo', default=True, help_text='used fot disabiling when the service w...
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{ "lang": "python", "repo": "Ferald89/deicaphone", "path": "/smanager/services/models/comments.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: buriedms/awesome-DeepLearning path: /competition/半监督目标定位比赛第一名模型/code/models.py from backcbone.Res2Net import Res2Net200_vd_26w_4s_ssld from backcbone.ResNeXt import ResNeXt101_32x16d_wsl from backcbone.SwinTransformer import SwinTransformer_large_patch4_window12_384 from Decoder.ACFFNet import AC...
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{ "lang": "python", "repo": "buriedms/awesome-DeepLearning", "path": "/competition/半监督目标定位比赛第一名模型/code/models.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>def Res2NetandFMFNet(): return FMFModel(backbone=Res2Net200_vd_26w_4s_ssld(pretrained=False)) def ResNeXtandACFFNet(): return ACFFModel(backbone=ResNeXt101_32x16d_wsl(pretrained=False)) def SwinTandACFFNet(): return ACFFViTModel(backbone=SwinTransformer_large_patch4_window12_384(pretrained...
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{ "lang": "python", "repo": "buriedms/awesome-DeepLearning", "path": "/competition/半监督目标定位比赛第一名模型/code/models.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> return ACFFViTModel(backbone=SwinTransformer_large_patch4_window12_384(pretrained=False))<|fim_prefix|># repo: buriedms/awesome-DeepLearning path: /competition/半监督目标定位比赛第一名模型/code/models.py from backcbone.Res2Net import Res2Net200_vd_26w_4s_ssld from backcbone.ResNeXt import ResNeXt101_32x16d_wsl fro...
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{ "lang": "python", "repo": "buriedms/awesome-DeepLearning", "path": "/competition/半监督目标定位比赛第一名模型/code/models.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|># Dataframes com os resultados da redução de dimensionalidade ComponentesTreino = pd.DataFrame(pcaDF_treino) ComponentesTeste = pd.DataFrame(pcaDF_teste) # Modelo de regressão logística modelo = LogisticRegression() # Criação do pipeline pipe = Pipeline([('pca', pca), ('RegLog', modelo)]) # Treinamento...
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{ "lang": "python", "repo": "CarlosCarvalho1981/PipePython", "path": "/Desafio-Cap06.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: CarlosCarvalho1981/PipePython path: /Desafio-Cap06.py # Modelo preditivo de classificaçãp para prever o valor de uma variável binária (true ou false) a partir de dados numéricos # Exercício desenvolvido no curso Formação Cientista de Dados (https://www.datascienceacademy.com.br/pages/formacao-cie...
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{ "lang": "python", "repo": "CarlosCarvalho1981/PipePython", "path": "/Desafio-Cap06.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: MobleyLab/SMIRNOFF_paper_code path: /selected_molecules/nc_to_pdb.py #!/bin env python # Convert NetCDF files for cases output here to PDB format for easier visualization across different viewers <|fim_suffix|> # Align trajectory to frame 0 and write to PDB for viewing traj.super...
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{ "lang": "python", "repo": "MobleyLab/SMIRNOFF_paper_code", "path": "/selected_molecules/nc_to_pdb.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># Loop over trajectories and convert for ttype in ['', '_gaff', '_gaff2']: for tprefix in traj_prefixes: molname = os.path.basename(tprefix) # Load relevant NetCDF trajectory trajfile = 'trajectories/%s%s.nc' % (molname,ttype) # We require a topology file which has the ...
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{ "lang": "python", "repo": "MobleyLab/SMIRNOFF_paper_code", "path": "/selected_molecules/nc_to_pdb.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: sycz00/iGibson path: /igibson/object_states/on_top.py import pybullet as p from IPython import embed import igibson from igibson.object_states.adjacency import VerticalAdjacency from igibson.object_states.memoization import PositionalValidationMemoizedObjectStateMixin from igibson.object_states....
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{ "lang": "python", "repo": "sycz00/iGibson", "path": "/igibson/object_states/on_top.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def _get_value(self, other, use_ray_casting_method=False): del use_ray_casting_method # Touching is the less costly of our conditions. # Check it first. if not self.obj.states[Touching].get_value(other): return False # Then check vertical adjacency...
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{ "lang": "python", "repo": "sycz00/iGibson", "path": "/igibson/object_states/on_top.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: skarzi/django-test-migrations path: /tests/unit/test_mixins.py import pytest from test_migrations import mixins class MigrationTestEmpty(mixins.MigrationTestMixin): pass class MigrationTestWithMigrateFrom(mixins.MigrationTestMixin): migrate_from = '0001_initial' class MigrationTest...
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{ "lang": "python", "repo": "skarzi/django-test-migrations", "path": "/tests/unit/test_mixins.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> self, mocker, app_name, expected_app_name, ): app_config_getter_mock = mocker.patch( 'test_migrations.mixins.django_apps.get_containing_app_config', ) app_config_getter_mock.return_value.name = app_name instanc...
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{ "lang": "python", "repo": "skarzi/django-test-migrations", "path": "/tests/unit/test_mixins.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def test_del_client_from_group(app, db): with pytest.allure.step('If do not find group,add him'): if len(db.get_group_list())==0: app.group.create(Group(name="test")) with pytest.allure.step('If do not find client,add him'): if len(db.get_client_list())==0: ...
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{ "lang": "python", "repo": "dariabramenkova/python_training", "path": "/test/test_client_in_group.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: dariabramenkova/python_training path: /test/test_client_in_group.py from model.client import Client from model.group import Group from random import randrange import random from fixture.orm import ORMFixture import pytest orm=ORMFixture(host="localhost", name="addressbook", user="root", password...
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{ "lang": "python", "repo": "dariabramenkova/python_training", "path": "/test/test_client_in_group.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: ihave13digits/PyxelPy path: /classes.py from pygame import sprite, Surface, Rect from var import DISPLAY_SIZE, CELL_SIZE, COLOR_BG from cursors import * BG = list(COLOR_BG) class Cell(sprite.Sprite): def __init__(self, x, y, r=BG[0], g=BG[1], b=BG[2], a=BG[3]): sprite.Sprite.__ini...
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{ "lang": "python", "repo": "ihave13digits/PyxelPy", "path": "/classes.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> import pygame as pg from os import path, chdir sprite.Sprite.__init__(self) self.posx = x self.posy = y r = path.dirname(__file__) chdir(path.join(r, 'data')) self.img = pg.image.load(path.join('res', img)) chdir(r) self.imag...
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{ "lang": "python", "repo": "ihave13digits/PyxelPy", "path": "/classes.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: imsplitbit/flask_user_group path: /tests/test_users.py import app import unittest import json from copy import deepcopy from app import db class UserTestCase(unittest.TestCase): def setUp(self): app.app.config['TESTING'] = True self.test_group1_groupid = 'admins' sel...
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{ "lang": "python", "repo": "imsplitbit/flask_user_group", "path": "/tests/test_users.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Delete one of those groups resp = self.app.delete('/groups/{}'.format(self.test_group1_groupid)) assert resp.status_code == 200 # Verify that the group is gone resp = self.app.get('/groups/{}'.format(self.test_group1_groupid)) assert resp.status_code == 4...
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{ "lang": "python", "repo": "imsplitbit/flask_user_group", "path": "/tests/test_users.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Finally list the group resp = self.app.get('/groups/{}'.format(self.test_group2_groupid)) assert resp.status_code == 200 data = json.loads(resp.data) assert self.test_user1_userid in data assert self.test_user2_userid in data def test_list_group_404(...
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{ "lang": "python", "repo": "imsplitbit/flask_user_group", "path": "/tests/test_users.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: SilverLinings89/Hallmarks-Search-Engine path: /Classifier/DataLoaders/prepare_dataset.py import sys id_start_at = 52 id_end_at = 84 filenames = ['1901-1950', '1951-1970', '1971-1980', '1981-1990', '1991-1995', '1996-2000', '2001-2005', '2006-2008', '2009-2010', '2011', '2012', '2013', '2014', '2...
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{ "lang": "python", "repo": "SilverLinings89/Hallmarks-Search-Engine", "path": "/Classifier/DataLoaders/prepare_dataset.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def readall(): counter =0 with open(BasePath + "CancerArticlesClean.dat", 'w') as of: for item in filenames: with open(titleset(item)) as f: for line in f: if "#nf#" not in line:...
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{ "lang": "python", "repo": "SilverLinings89/Hallmarks-Search-Engine", "path": "/Classifier/DataLoaders/prepare_dataset.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: pguridi/sandboxed-game-engine path: /turnboxed/__init__.py import os import sys if 'PYPY_PATH' not in os.environ.keys(): PYPY_PATH = '/opt/pypy-4.0.0-src' else: PYPY_PATH = os.environ['PYPY_SOURCE_PATH'] <|fim_suffix|>from . import basebot current_dir = os.path.split(basebot.__file__)[...
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{ "lang": "python", "repo": "pguridi/sandboxed-game-engine", "path": "/turnboxed/__init__.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>import pypy LIB_ROOT = os.path.dirname(os.path.dirname(pypy.__file__)) from . import basebot current_dir = os.path.split(basebot.__file__)[0] BASE_BOT_FILE = os.path.abspath(os.path.join(current_dir, "basebot.py")) GAME_BOT_DIR = os.environ.get('GAME_BOT_DIR', current_dir) GAME_BOT_FILE = os.path.abspat...
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{ "lang": "python", "repo": "pguridi/sandboxed-game-engine", "path": "/turnboxed/__init__.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>DEBUG = False import pypy LIB_ROOT = os.path.dirname(os.path.dirname(pypy.__file__)) from . import basebot current_dir = os.path.split(basebot.__file__)[0] BASE_BOT_FILE = os.path.abspath(os.path.join(current_dir, "basebot.py")) GAME_BOT_DIR = os.environ.get('GAME_BOT_DIR', current_dir) GAME_BOT_FILE =...
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{ "lang": "python", "repo": "pguridi/sandboxed-game-engine", "path": "/turnboxed/__init__.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>time.sleep(8) print(' [*] Waiting for message. To exit press CTRL+C') for t in threading.enumerate(): print "Thread[%s] is %s" % (t.name, t.is_alive()) master.close() print(' [*] Exit!') signal.pause() # master.retain()<|fim_prefix|># repo: opflow/opflow-python path: /examples/fibonacci_rpc_master...
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{ "lang": "python", "repo": "opflow/opflow-python", "path": "/examples/fibonacci_rpc_master.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> print 'SIGTERM/SIGINT' master.close() sys.exit(0) signal.signal(signal.SIGINT, signal_term_handler) signal.signal(signal.SIGTERM, signal_term_handler) message = json.dumps({ 'number': 25 }) print(" [x] Sent %r" % (message)) req = master.request('fibonacci', message, { 'timeout': 10 }); ti...
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{ "lang": "python", "repo": "opflow/opflow-python", "path": "/examples/fibonacci_rpc_master.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: opflow/opflow-python path: /examples/fibonacci_rpc_master.py #!/usr/bin/env python import json import os import sys import time import signal import threading sys.path.insert(0, os.path.dirname(os.path.realpath(__file__))) sys.path.insert(0, os.path.dirname(os.path.realpath(__file__)) + '/..') ...
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{ "lang": "python", "repo": "opflow/opflow-python", "path": "/examples/fibonacci_rpc_master.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: fountain111/bequeather path: /bequeather/action/command.py from .base import BaseAction import os, subprocess, logging, json logging.basicConfig(level = logging.INFO) logger = logging.getLogger(__name__) class ShellCommand(BaseAction): <|fim_suffix|> """ logger.debug("Executing shell comman...
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{ "lang": "python", "repo": "fountain111/bequeather", "path": "/bequeather/action/command.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> #if isinstance(kwargs, list): #parse args process = subprocess.Popen([command] + kwargs, env = os.environ.copy(), stdout = subprocess.PIPE, stderr = subprocess.PIPE) try: out, err = process.communicate(timeout = 10) except subprocess.TimeoutExpired: process.kill() out, err = process.co...
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{ "lang": "python", "repo": "fountain111/bequeather", "path": "/bequeather/action/command.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: wild-trip/CyberDAS-API path: /alembic/versions/20210907_aff6badb8f87.py """ Убраны часовые пояса Revision ID: aff6badb8f87 Revises: 22d32aac74f7 Create Date: 2021-09-07 01:05:37.881411 """ from alembic import op import sqlalchemy as sa <|fim_suffix|>def downgrade(): op.alter_column('sessi...
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{ "lang": "python", "repo": "wild-trip/CyberDAS-API", "path": "/alembic/versions/20210907_aff6badb8f87.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def upgrade(): op.alter_column('sessions', 'expires', type_=sa.DateTime(timezone = False), postgresql_using='expires::timestamp') op.alter_column('sessions', 'created_at', type_=sa.DateTime(timezone = False), postgresql_using='created_at::timestamp') op.alter_column('users', 'created_at', type...
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{ "lang": "python", "repo": "wild-trip/CyberDAS-API", "path": "/alembic/versions/20210907_aff6badb8f87.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: mincrmatt12/parseit path: /parseit/parseit.py import re import collections # simple parser # tokens are re.Regexes in a dict # rules are lists of: # strings: UPPERCASE means tokens, lower_case means rules # lists : grouping of strings, last string in list is specifier: # ? op...
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{ "lang": "python", "repo": "mincrmatt12/parseit", "path": "/parseit/parseit.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def consume_bare_rulesegment(input_str, rulesegment, tokens, at, rules, token_types): result = None head = tokens[at] if rulesegment.isupper(): if head[0] == rulesegment: result = head at += 1 else: throw_parse_error(input_str, head[2], ...
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{ "lang": "python", "repo": "mincrmatt12/parseit", "path": "/parseit/parseit.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: fre-sch/redscript-docgen path: /redscript_docgen/parser/grammar.py from parsimonious import Grammar ws = r""" _ = comment / line_comment / ~"\s*" ws = ~"\s+" le = ~"(\r\n|\r|\n)" comment_start = "/*" comment_end = "*/" c...
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{ "lang": "python", "repo": "fre-sch/redscript-docgen", "path": "/redscript_docgen/parser/grammar.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>symbols = r""" lbrace = "{" rbrace = "}" lparen = "(" rparen = ")" listsep = _ "," _ typesep = _ ":" _ gt = ">" lt = "<" equal = "=" """ annotation = r""" annotationlis...
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{ "lang": "python", "repo": "fre-sch/redscript-docgen", "path": "/redscript_docgen/parser/grammar.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> func_sig = annotationlist qualifierlist "func" _ func_name _ parameters _ func_return_type func_name = ident? func_return_type = "->" _ type func_body_start = lbrace func_body_end = rbrace func_body_content = func_body / (!func_body_start !func_body_end ~"."...
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{ "lang": "python", "repo": "fre-sch/redscript-docgen", "path": "/redscript_docgen/parser/grammar.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: jiujiujiu0313/jingziqi path: /board.py class Board(object): def __init__(self): self.board_data=[" "]*9 self.movable_list=list(range(9)) def show_board(self,show_index=False): for i in (0,3,6): print(" | |") if show_index: ...
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{ "lang": "python", "repo": "jiujiujiu0313/jingziqi", "path": "/board.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>if __name__=='__main__': board=Board() # print(board.board_data) # print(board.movable_list) # print("---显示棋盘---"+"-"*50) # board.show_board(True) # print("-"*50) # board.show_board() # print("---测试落子"+"-"*50) # board.move_down(0,"x") # board.show_board() ...
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{ "lang": "python", "repo": "jiujiujiu0313/jingziqi", "path": "/board.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>e='dataset factors'), # Tag related url(r'^tag/$', views.dataset_tags, name='dataset tag list'), url(r'^tag/(?P<tag_name>.+)/$', views.dataset_filter_by_tag, name='dataset filtered by tag'), url(r'^search/4-biogps/$', views.dataset_search_4_biogps, name='dataset search for ...
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{ "lang": "python", "repo": "SuLab/biogps_dataset", "path": "/dataset/urls.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: SuLab/biogps_dataset path: /dataset/urls.py from django.conf.urls import patterns, url from dataset import views urlpatterns = patterns( '', url(r'^$', views.dataset_list, name='dataset list'), url(r'^meta/(?P<ds_id>.+)/$', views.dataset_info, name='dataset meta'), url(r...
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{ "lang": "python", "repo": "SuLab/biogps_dataset", "path": "/dataset/urls.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: andrew962/Python path: /Archivos/__init__.py sal = True while sal: nombre = input("Nombre: ") notafinal = int(input("Nota final: ")) if 91 <= notafinal <= 100: print(nombre+ ", sacaste una A " + str(notafinal) + ":D") <|fim_suffix|>notafinal < 0: print("No...
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{ "lang": "python", "repo": "andrew962/Python", "path": "/Archivos/__init__.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>"N": sal = False print("Hasta luego") elif opc == "S": sal = True else: sal = True print("No colocaste algo valido, pero te mantendre en el ciclo")<|fim_prefix|># repo: andrew962/Python path: /Archivos/__init__.py sal = True while sal: nombre =...
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{ "lang": "python", "repo": "andrew962/Python", "path": "/Archivos/__init__.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>notafinal < 0: print("Nota final invalida") else: print("Sacaste una F "+ str(notafinal) + "!") opc = input("Deceas continuar (S/N) -->").upper() if opc == "N": sal = False print("Hasta luego") elif opc == "S": sal = True el...
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{ "lang": "python", "repo": "andrew962/Python", "path": "/Archivos/__init__.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: andrewhead/Search-Task-Logger path: /searchlogger/searchlogger/models.py #! /usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals import logging from django.db import models from django.contrib.auth.models import User <|fim_suffix|> class LocationEvent(models.Mode...
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{ "lang": "python", "repo": "andrewhead/Search-Task-Logger", "path": "/searchlogger/searchlogger/models.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> user = models.ForeignKey(User, on_delete=models.DO_NOTHING) visit_date = models.DateTimeField(db_index=True) log_date = models.DateTimeField(db_index=True, auto_now_add=True) tab_id = models.CharField(max_length=128, default='null') tab_index = models.IntegerField() title = models....
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{ "lang": "python", "repo": "andrewhead/Search-Task-Logger", "path": "/searchlogger/searchlogger/models.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: f0cal/core2 path: /src/f0cal/core/state.py import os import io import sys import types import functools import distutils.spawn import logging import shlex import subprocess import configparser import plugnparse from .helpers import Jinja2Renderer HERE = os.path.dirname(__file__) LOG = logging....
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{ "lang": "python", "repo": "f0cal/core2", "path": "/src/f0cal/core/state.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> plugin_funcs = self.scanner.query("sets=='ini'") for plugin_name, ini_func in plugin_funcs.items(): config_dict = self.config[plugin_name] ini_func(**config_dict) @staticmethod def subprocess_run(exe_str, *args, **dargs): LOG.debug(f"{exe_str} {args...
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{ "lang": "python", "repo": "f0cal/core2", "path": "/src/f0cal/core/state.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: mkbeh/pydrommer path: /src/extra/exceptions.py # -*- coding: utf-8 -*- class ArgValueTypeDefinerExc(Exception): def __init__(self, error_msg=''): Exception.__init__(self, f'{error_msg}') class IncorrectHosts(ArgValueTypeDefinerExc): def __init__(self, hosts): super()._...
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{ "lang": "python", "repo": "mkbeh/pydrommer", "path": "/src/extra/exceptions.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def __init__(self, hosts): super().__init__(error_msg=f'Incorrect hosts {hosts}.') class BlocksCalculatorExc(Exception): def __init__(self, error_msg=''): Exception.__init__(self, f'{error_msg}') class InvalidPortsRange(BlocksCalculatorExc): def __init__(self, ports_range):...
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{ "lang": "python", "repo": "mkbeh/pydrommer", "path": "/src/extra/exceptions.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Biocodings/mhcflurry path: /test/test_class1_neural_network.py import numpy import pandas numpy.random.seed(0) from mhcflurry import Class1NeuralNetwork from nose.tools import eq_ from numpy import testing <|fim_suffix|>def test_class1_affinity_predictor_a0205_training_accuracy(): # Memori...
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{ "lang": "python", "repo": "Biocodings/mhcflurry", "path": "/test/test_class1_neural_network.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> df = pandas.read_csv( get_path( "data_curated", "curated_training_data.csv.bz2")) df = df.ix[ df.allele == allele ] df = df.ix[ df.peptide.str.len() == 9 ] df = df.ix[ df.measurement_type == "quantitative" ] df = df.ix[ df...
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{ "lang": "python", "repo": "Biocodings/mhcflurry", "path": "/test/test_class1_neural_network.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> predictor = Class1NeuralNetwork(**hyperparameters) predictor.fit(df.peptide.values, df.measurement_value.values) ic50_pred = predictor.predict(df.peptide.values) ic50_true = df.measurement_value.values eq_(len(ic50_pred), len(ic50_true)) testing.assert_allclose( numpy.log(i...
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{ "lang": "python", "repo": "Biocodings/mhcflurry", "path": "/test/test_class1_neural_network.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>rt actual == ans, \ 'failed test: input = {}; expected = {}; actual = {}'.format( t, ans, actual)<|fim_prefix|># repo: pterodragon/programming path: /Python/leetcode/Triangle/test_solution.py import solution import nose def test(): tests = [ [[[-10]], -10], ...
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{ "lang": "python", "repo": "pterodragon/programming", "path": "/Python/leetcode/Triangle/test_solution.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: pterodragon/programming path: /Python/leetcode/Triangle/test_solution.py import solution import nose def test(): tests = [ [[[-10]], -10], [[[-10], [1, 2]], -9], [<|fim_suffix|>rt actual == ans, \ 'failed test: input = {}; expected = {}; actual = {}'...
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{ "lang": "python", "repo": "pterodragon/programming", "path": "/Python/leetcode/Triangle/test_solution.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: MilesWangSeven/keil_utilitis path: /AdvancedRelease/AdvancedRelease.py import sys import os from hashlib import md5, sha1 from zlib import crc32 import os import time import shutil def get_filename_modifyTime(filename): time.ctime(os.stat(filename).st_mtime) time.ctime(os.stat(filename)....
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{ "lang": "python", "repo": "MilesWangSeven/keil_utilitis", "path": "/AdvancedRelease/AdvancedRelease.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> sha1Obj = sha1() with open(filename, 'rb') as f: sha1Obj.update(f.read()) return sha1Obj.hexdigest() def getCrc32(filename): with open(filename, 'rb') as f: return crc32(f.read()) & 0xffffffff def get_filePath_Name_Ext(filename): (filepath,tempfilename) = os.path.spli...
code_fim
hard
{ "lang": "python", "repo": "MilesWangSeven/keil_utilitis", "path": "/AdvancedRelease/AdvancedRelease.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> print('Image no: ') print(ind) image_np = misc.imread(image_path, mode='RGB') file_name = ntpath.basename(image_path) height_pix, width_pix, _ = image_np.shape print(image_np.shape) detect_struct = imageDetection() detect_str...
code_fim
hard
{ "lang": "python", "repo": "yh578/models", "path": "/research/object_detection/ssdmodel.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: yh578/models path: /research/object_detection/ssdmodel.py import numpy as np import os import six.moves.urllib as urllib import sys import tarfile import tensorflow as tf from scipy import misc import ntpath from PIL import Image from object_detection.calculate_iou_final import imageDetection imp...
code_fim
hard
{ "lang": "python", "repo": "yh578/models", "path": "/research/object_detection/ssdmodel.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>for p in palavras: print(f'\nNa palavra {p.upper()} temos ', end = '') for letra in p: if letra.lower() in 'aeiou': print(letra, end = ' ')<|fim_prefix|># repo: bruceewmesmo/python-mundo-03 path: /ex077.py # EXERCICIO 077 - CONTANDO VOGAIS EM TUPLAS <|fim_middle|>palavras = ...
code_fim
medium
{ "lang": "python", "repo": "bruceewmesmo/python-mundo-03", "path": "/ex077.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bruceewmesmo/python-mundo-03 path: /ex077.py # EXERCICIO 077 - CONTANDO VOGAIS EM TUPLAS <|fim_suffix|>for p in palavras: print(f'\nNa palavra {p.upper()} temos ', end = '') for letra in p: if letra.lower() in 'aeiou': print(letra, end = ' ')<|fim_middle|>palavras = ...
code_fim
medium
{ "lang": "python", "repo": "bruceewmesmo/python-mundo-03", "path": "/ex077.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> scHZjLUh1 = base64.decodestring(scHZjLUh1) key=b'nyloner' lenth= len(key) schlenth=len(scHZjLUh1) code='' for i in range(schlenth): coeFYlqUm2 = i % lenth code+= chr(scHZjLUh1[i] ^ key[coeFYlqUm2]) #print(code) ...
code_fim
hard
{ "lang": "python", "repo": "hook923/IPProxyTool", "path": "/ipproxytool/spiders/proxy/nyloner.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: hook923/IPProxyTool path: /ipproxytool/spiders/proxy/nyloner.py # -*- coding: utf-8 -*- from .basespider import BaseSpider from scrapy.selector import Selector from ...items import IpProxyItem import json import re from datetime import datetime import time import hashlib import base64 ...
code_fim
hard
{ "lang": "python", "repo": "hook923/IPProxyTool", "path": "/ipproxytool/spiders/proxy/nyloner.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }