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<|fim_prefix|># repo: AllanCerveaux/svg_repo_dl path: /svgrepodl/utils.py import os import time from .Message import Message from selenium import webdriver from selenium.webdriver.firefox.options import Options from selenium.webdriver.firefox.firefox_profile import FirefoxProfile from progress.bar import IncrementalBa...
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{ "lang": "python", "repo": "AllanCerveaux/svg_repo_dl", "path": "/svgrepodl/utils.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def browserConfiguration(path): """Configure selenium browser Run headless firefox and configure download path Arguments: path {[string]} -- Destination download path Returns: [object] -- Firefox Webdriver """ profile = FirefoxProfile() profile.set_preference("browser.download.panel.shown", F...
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{ "lang": "python", "repo": "AllanCerveaux/svg_repo_dl", "path": "/svgrepodl/utils.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>target_img = transforms.ToTensor()(Image.open(args.target_image)).unsqueeze(0).to(device) source_img = transforms.ToTensor()(Image.open(args.source_image)).unsqueeze(0).to(device) with torch.no_grad(): output, _, _, _, _ = model.forward(target_img, source_img) output = transforms.ToPILImage()(output.c...
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{ "lang": "python", "repo": "WinstonDeng/faceshifter", "path": "/aei_inference.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: WinstonDeng/faceshifter path: /aei_inference.py import argparse from PIL import Image import torch from torchvision import transforms from aei_net import AEINet parser = argparse.ArgumentParser() parser.add_argument("-c", "--config", type=str, default="config/train.yaml", h...
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{ "lang": "python", "repo": "WinstonDeng/faceshifter", "path": "/aei_inference.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> class Meta: model = Level threshold = Sequence(lambda n: n + 1) name = LazyAttribute(lambda o: f'Level {o.threshold}') class AchievementUnlockFactory(DjangoModelFactory): class Meta: model = AchievementUnlock user = SubFactory(UserFactory) achievement = SubFactory(AchievementFactory) class...
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{ "lang": "python", "repo": "EzraG101/otis-web", "path": "/dashboard/factories.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: EzraG101/otis-web path: /dashboard/factories.py from core.factories import SemesterFactory, UnitFactory, UnitGroupFactory, UserFactory # NOQA from django.contrib.auth import get_user_model from factory.declarations import LazyAttribute, Sequence, SubFactory from factory.django import DjangoModel...
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{ "lang": "python", "repo": "EzraG101/otis-web", "path": "/dashboard/factories.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>class SemesterDownloadFileFactory(DjangoModelFactory): class Meta: model = SemesterDownloadFile semester = SubFactory(SemesterFactory) content = FileField(filename='announcement.txt') class PSetFactory(DjangoModelFactory): class Meta: model = PSet student = SubFactory(StudentFactory) unit = ...
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{ "lang": "python", "repo": "EzraG101/otis-web", "path": "/dashboard/factories.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def get_all_track_data(self): self.make_track_dict() self.make_special_number() return self.number_by_date_dict, self.year_list<|fim_prefix|># repo: saxieyu/GitHubPoster path: /github_poster/loader/dota2_loader.py #!/usr/bin/env python # -*- coding: utf-8 -*- from datetime im...
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{ "lang": "python", "repo": "saxieyu/GitHubPoster", "path": "/github_poster/loader/dota2_loader.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: saxieyu/GitHubPoster path: /github_poster/loader/dota2_loader.py #!/usr/bin/env python # -*- coding: utf-8 -*- from datetime import datetime import requests from github_poster.loader.base_loader import BaseLoader from github_poster.loader.config import DOTA2_CALENDAR_API <|fim_suffix|> def...
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{ "lang": "python", "repo": "saxieyu/GitHubPoster", "path": "/github_poster/loader/dota2_loader.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def make_track_dict(self): data_list = self.get_api_data() for d in data_list: date = datetime.utcfromtimestamp(d["start_time"]).strftime("%Y-%m-%d") self.number_by_date_dict[date] += 1 for _, v in self.number_by_date_dict.items(): self.numbe...
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{ "lang": "python", "repo": "saxieyu/GitHubPoster", "path": "/github_poster/loader/dota2_loader.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>for i in files: df = pd.read_csv(i, sep="\t", compression="gzip") i = i.split(os.sep) subid = i[-4] df.to_csv(subid + "_ecg", sep='\t', index=False)<|fim_prefix|># repo: JoelPatchitt/adie_ongoingthoughts path: /bin/adie_unzip_gz.py from pathlib import Path import glob import os import pan...
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{ "lang": "python", "repo": "JoelPatchitt/adie_ongoingthoughts", "path": "/bin/adie_unzip_gz.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: JoelPatchitt/adie_ongoingthoughts path: /bin/adie_unzip_gz.py from pathlib import Path import glob import os import pandas as pd <|fim_suffix|>for i in files: df = pd.read_csv(i, sep="\t", compression="gzip") i = i.split(os.sep) subid = i[-4] df.to_csv(subid + "_ecg", sep='\t', i...
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{ "lang": "python", "repo": "JoelPatchitt/adie_ongoingthoughts", "path": "/bin/adie_unzip_gz.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: betasewer/machaon path: /machaon/types/dateandtime.py if sep: m = int(sm) c = int(s) else: m = int(s) return h, m, c def UTCOffset(utc_delta) -> datetime.tzinfo: """ UTCからの差分で表されるタイムゾーン """ if utc_delta < 0: delta = -datetime.timedelta(hours=...
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{ "lang": "python", "repo": "betasewer/machaon", "path": "/machaon/types/dateandtime.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: betasewer/machaon path: /machaon/types/dateandtime.py """ UTCからの差分で表されるタイムゾーン """ if utc_delta < 0: delta = -datetime.timedelta(hours=-utc_delta) else: delta = datetime.timedelta(hours=utc_delta) class _UTCOffset(datetime.tzinfo): def __repr__(self): ...
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{ "lang": "python", "repo": "betasewer/machaon", "path": "/machaon/types/dateandtime.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> """ @meta """ if isinstance(s, str): y, m, d = digits_split_by_nondigit(s, 3) return datetime.date(y, m, d) else: return DateType.constructor(DateType, s) def stringify(self, d): """ @meta """ return d.strftime("%Y/%m/%d") ...
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{ "lang": "python", "repo": "betasewer/machaon", "path": "/machaon/types/dateandtime.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>rtateis_cozinha_e_preparadores_de_alimentos', 'portateis_casa')\ .replace('artigos_de_festas', 'artigos_festas')\ .replace('artigos_de_natal', 'artigos_festas')\ .replace('eletronicos', 'eletronicos_games')\ .replace('consoles_games', 'eletronicos_games')\ .replace('eletronicos_games', 'ele...
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{ "lang": "python", "repo": "Mpaape/olist-e-commerce", "path": "/categories.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Mpaape/olist-e-commerce path: /categories.py def join_categories(df): df['product_category_name'] = df['product_category_name'].replace('telefonia_fixa', 'telefonia')\ .replace('eletrodomesticos_2', 'eletrodomesticos'). replace('bebes', 'brinquedos_e_bebes')\ .replace('fraldas_higiene', ...
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{ "lang": "python", "repo": "Mpaape/olist-e-commerce", "path": "/categories.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: chromium/chromium path: /chrome/renderer/cart/DEPS include_rules = [ "+third_party/re2", "+chrome/browser/signin", "+chrome/browser", "+components/commerce/core/proto/cart<|fim_suffix|>e_features.h", "+components/ukm", "+components/metrics", "+services/metrics/public/cpp...
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{ "lang": "python", "repo": "chromium/chromium", "path": "/chrome/renderer/cart/DEPS", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|>ecific_include_rules = { "commerce_hint_agent_browsertest.cc": [ "+components/optimization_guide/core/optimization_guide_features.h", "+components/ukm", "+components/metrics", "+services/metrics/public/cpp/ukm_builders.h", ], }<|fim_prefix|># repo: chromium/chromium path: /c...
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{ "lang": "python", "repo": "chromium/chromium", "path": "/chrome/renderer/cart/DEPS", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|>e_features.h", "+components/ukm", "+components/metrics", "+services/metrics/public/cpp/ukm_builders.h", ], }<|fim_prefix|># repo: chromium/chromium path: /chrome/renderer/cart/DEPS include_rules = [ "+third_party/re2", "+chrome/browser/signin", "+chrome/browser", "+components...
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{ "lang": "python", "repo": "chromium/chromium", "path": "/chrome/renderer/cart/DEPS", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: mkowsiak/python3 path: /src/dictionaries.py # -*- coding: utf-8 -*- # Copyright © 2021 Michal K. Owsiak. All rights reserved. # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A P...
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{ "lang": "python", "repo": "mkowsiak/python3", "path": "/src/dictionaries.py", "mode": "psm", "license": "LicenseRef-scancode-warranty-disclaimer", "source": "the-stack-v2" }
<|fim_suffix|>b = 'key1' in d # check whether key is already defined in dictionary b = 'key3' not in d d.get('key1') # almost the same as indexing with ['key1'] d.get('key3') # will return None - no exception here d.get('key3', '...
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{ "lang": "python", "repo": "mkowsiak/python3", "path": "/src/dictionaries.py", "mode": "spm", "license": "LicenseRef-scancode-warranty-disclaimer", "source": "the-stack-v2" }
<|fim_suffix|> viet_ocr = VietOCR() text = viet_ocr.image_to_string(img, lang=language) return Response({'text': text}, status=status.HTTP_200_OK)<|fim_prefix|># repo: trangnm58/DocOCR path: /viet_ocr/api/views.py import cv2 import numpy as np from rest_framework import status from rest_framewor...
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{ "lang": "python", "repo": "trangnm58/DocOCR", "path": "/viet_ocr/api/views.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: trangnm58/DocOCR path: /viet_ocr/api/views.py import cv2 import numpy as np from rest_framework import status from rest_framework.views import APIView from rest_framework.response import Response from viet_ocr.models import VietOCR <|fim_suffix|> img = cv2.imdecode(np.fromstring(img.read...
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{ "lang": "python", "repo": "trangnm58/DocOCR", "path": "/viet_ocr/api/views.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> with it('positively matches clues with (hyph) at the end'): expect(crossword_problem.CrosswordProblem.score( ['Example crossword clue (hyph.)'])).to(equal(1)) with it('ambiguously matches clues with lots of words'): expect(crossword_problem.CrosswordProblem.score( ['A quick br...
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{ "lang": "python", "repo": "PhilHarnish/forge", "path": "/spec/puzzle/problems/crossword/crossword_problem_spec.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: PhilHarnish/forge path: /spec/puzzle/problems/crossword/crossword_problem_spec.py import collections from data import data from puzzle.problems.crossword import crossword_problem from spec.mamba import * _SAMPLE = { 'a': 1, 'aa': .75, 'aaa': .5, 'abb': .25, 'aabb': .2, 'aaabb': .1, } with de...
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{ "lang": "python", "repo": "PhilHarnish/forge", "path": "/spec/puzzle/problems/crossword/crossword_problem_spec.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> hpu_net = HierarchicalProbUNet(latent_dims=_LATENT_DIMS, channels_per_block=_CHANNELS_PER_BLOCK, num_classes=_NUM_CLASSES, initializers=_INITIALIZERS) img, seg = _get_placeholders() reconst...
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{ "lang": "python", "repo": "Esmidth/CS_GAN_MOD", "path": "/hierarchical_probabilistic_unet/model_test.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: Esmidth/CS_GAN_MOD path: /hierarchical_probabilistic_unet/model_test.py # Copyright 2019 Deepmind Technologies Limited. # # 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 ...
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{ "lang": "python", "repo": "Esmidth/CS_GAN_MOD", "path": "/hierarchical_probabilistic_unet/model_test.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def to_proto(self): tag = ProtoInputTag() tag.key = self.key tag.value = self.value return tag @classmethod def from_proto(cls, proto): return cls(proto.key, proto.value)<|fim_prefix|># repo: mlflow/mlflow path: /mlflow/entities/input_tag.py from mlflo...
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{ "lang": "python", "repo": "mlflow/mlflow", "path": "/mlflow/entities/input_tag.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: mlflow/mlflow path: /mlflow/entities/input_tag.py from mlflow.entities._mlflow_object import _MLflowObject from mlflow.protos.service_pb2 import InputTag as ProtoInputTag from mlflow.utils.annotations import experimental @experimental class InputTag(_MLflowObject): """Input tag object assoc...
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{ "lang": "python", "repo": "mlflow/mlflow", "path": "/mlflow/entities/input_tag.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> tag = ProtoInputTag() tag.key = self.key tag.value = self.value return tag @classmethod def from_proto(cls, proto): return cls(proto.key, proto.value)<|fim_prefix|># repo: mlflow/mlflow path: /mlflow/entities/input_tag.py from mlflow.entities._mlflow_objec...
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{ "lang": "python", "repo": "mlflow/mlflow", "path": "/mlflow/entities/input_tag.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: wtwong316/tsd_analysis_with_es path: /com/beiwei/plots/plot.py from io import BytesIO from matplotlib.figure import Figure from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas import matplotlib as mpl def plot_data(df, title, data_field, data_date): fig = Figure() ...
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{ "lang": "python", "repo": "wtwong316/tsd_analysis_with_es", "path": "/com/beiwei/plots/plot.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> fig = Figure() fig.set_figheight(15) fig.set_figwidth(15) ax = fig.subplots(2) df.plot(kind='line', x=date_name, y='BBU20', ax=ax[0], color='black', label='BBU20', style=['--']) df.plot(kind='line', x=date_name, y='BBL20', ax=ax[0], color='black', label='BBL20', style=['--']) d...
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{ "lang": "python", "repo": "wtwong316/tsd_analysis_with_es", "path": "/com/beiwei/plots/plot.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def plot_rsi_bb(df, title0, title1, title2, date_name): fig = Figure() fig.set_figheight(30) fig.set_figwidth(20) ax = fig.subplots(3) ax[0].axhline(y=30, color='midnightblue', linestyle='--') ax[0].axhline(y=70, color='midnightblue', linestyle='--') ax0 = ax[0].twinx() ...
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{ "lang": "python", "repo": "wtwong316/tsd_analysis_with_es", "path": "/com/beiwei/plots/plot.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: ntpdev/scripts.py path: /trade-log.py #!/usr/bin/python3 from datetime import datetime, date, time, timedelta import argparse import numpy as np import pandas as pd import glob as gb import platform import sys class Blotter: def __init__(self): self.openPositions = [] self.s...
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{ "lang": "python", "repo": "ntpdev/scripts.py", "path": "/trade-log.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> df = pd.read_csv(f'\\Users\\niroo\\OneDrive\\Documents\\{fname}', usecols=[0,1,2,3,4,5,6], parse_dates={'Timestamp' : [5,6]}) print(f'loaded {fname} {df.shape[0]} {df.shape[1]}') return df def load_fileEx(fname): df = pd.read_csv(fname, usecols=[0,1,2,3,4,5,6], parse_dates={'Timestamp' : ...
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{ "lang": "python", "repo": "ntpdev/scripts.py", "path": "/trade-log.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: abogeorge/simpleTicket path: /simpleTicket/helpDesk/views.py from django.shortcuts import render, render_to_response from django.contrib import auth from django.core.context_processors import csrf from django.contrib.auth.decorators import login_required from siteEngine.models import Ticket, User...
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{ "lang": "python", "repo": "abogeorge/simpleTicket", "path": "/simpleTicket/helpDesk/views.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># All active orders page @login_required def active_orders(request): # Retrieving user type user_role = __get_user_role(request) # Retrieving all Users Profile orders = Order.objects.exclude(status = 0).exclude(status = 3) if len(orders) == 0: orders = False # If the view i...
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{ "lang": "python", "repo": "abogeorge/simpleTicket", "path": "/simpleTicket/helpDesk/views.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># All closed orders page @login_required def closed_orders(request): # Retrieving user type user_role = __get_user_role(request) # Retrieving all Users Profile orders = Order.objects.filter(status = 3) if len(orders) == 0: orders = False return render(request, "closed_order...
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{ "lang": "python", "repo": "abogeorge/simpleTicket", "path": "/simpleTicket/helpDesk/views.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: cy-fir/flexx path: /flexx/app/session.py """ Definition of App class and the app manager. """ import time from .. import event from .model import Model, new_type from .assetstore import SessionAssets from . import logger # todo: thread safety def valid_app_name(name): T = 'abcdefghijklmno...
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{ "lang": "python", "repo": "cy-fir/flexx", "path": "/flexx/app/session.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> def _set_runtime(self, runtime): if self._runtime is not None: raise RuntimeError('Session already has a runtime.') self._runtime = runtime def close(self): """ Close the runtime, if possible """ # todo: close via JS if self._runtime...
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{ "lang": "python", "repo": "cy-fir/flexx", "path": "/flexx/app/session.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> except Exception as err: logger.error('Error when clearing old pending sessions: %s' % str(err)) def create_session(self, name): """ Create a session for the app with the given name. Instantiate an app and matching session object corresponding ...
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{ "lang": "python", "repo": "cy-fir/flexx", "path": "/flexx/app/session.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: kubeflow/pipelines path: /samples/contrib/pytorch-samples/cifar10/classifier.py # !/usr/bin/env/python3 # Copyright (c) Facebook, Inc. and its affiliates. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may...
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{ "lang": "python", "repo": "kubeflow/pipelines", "path": "/samples/contrib/pytorch-samples/cifar10/classifier.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> """ Initializes the network, optimizer and scheduler """ super().__init__() self.model_conv = models.resnet50(pretrained=True) for param in self.model_conv.parameters(): param.requires_grad = False num_ftrs = self.model_conv.fc.in_feature...
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{ "lang": "python", "repo": "kubeflow/pipelines", "path": "/samples/contrib/pytorch-samples/cifar10/classifier.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> # Initialize control dictionary control = {'bt': True, 'gga': True, 'vtg': True, 'vectors': True} # If checkboxes are available, enable the checkboxes if transect contains that type of data if self.cb: # Enable check boxes as data is available ...
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{ "lang": "python", "repo": "ricorx7/QRevPy", "path": "/UI/BoatSpeed.py", "mode": "spm", "license": "LicenseRef-scancode-warranty-disclaimer", "source": "the-stack-v2" }
<|fim_prefix|># repo: ricorx7/QRevPy path: /UI/BoatSpeed.py ence for GGA vtg: list Plot reference for VTG hover_connection: int Index to data cursor connection annot: Annotation Annotation object for data cursor """ def __init__(self, canvas): """Initializ...
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{ "lang": "python", "repo": "ricorx7/QRevPy", "path": "/UI/BoatSpeed.py", "mode": "psm", "license": "LicenseRef-scancode-warranty-disclaimer", "source": "the-stack-v2" }
<|fim_suffix|> # Get checkbox status # BT if self.cb_bt.checkState() == QtCore.Qt.Checked: control['bt'] = True else: control['bt'] = False # GGA if self.cb_gga.checkState() == QtCore.Qt.Checked: ...
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{ "lang": "python", "repo": "ricorx7/QRevPy", "path": "/UI/BoatSpeed.py", "mode": "spm", "license": "LicenseRef-scancode-warranty-disclaimer", "source": "the-stack-v2" }
<|fim_suffix|>NG)''') conn.commit() conn.close() if __name__ == '__main__': main()<|fim_prefix|># repo: Jonathan-aguilar/DAS_Sistemas path: /Ene-Jun-2019/Luis Ornelas/Extraoridnario/Ejercicio 3/Ejercicio3-ExtraDB.py import sqlite3 def main(): conn = sqlite3.connect("Paises.db") cur = conn.cursor(...
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{ "lang": "python", "repo": "Jonathan-aguilar/DAS_Sistemas", "path": "/Ene-Jun-2019/Luis Ornelas/Extraoridnario/Ejercicio 3/Ejercicio3-ExtraDB.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Jonathan-aguilar/DAS_Sistemas path: /Ene-Jun-2019/Luis Ornelas/Extraoridnario/Ejercicio 3/Ejercicio3-ExtraDB.py import sqlite3 def main(): conn = sqlite3.connect("Paises.db") cur = conn.cursor() cur.execute('''CREATE TABLE Paises ( Nombre STRING PRIMARY KE<|fim_suffix|>NG)''') ...
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{ "lang": "python", "repo": "Jonathan-aguilar/DAS_Sistemas", "path": "/Ene-Jun-2019/Luis Ornelas/Extraoridnario/Ejercicio 3/Ejercicio3-ExtraDB.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: RavicharanN/DSL-to-Python-prototype path: /sample_dsl.py from lark import Lark print_grammar = """ start : instruction+ instruction : "print" STRING [STRING] -> print | "repeat" NUMBER code_block -> repeat code_block : "{" instruction+ "}" STRING: LETTER+ <|fi...
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{ "lang": "python", "repo": "RavicharanN/DSL-to-Python-prototype", "path": "/sample_dsl.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> parse_tree = parser.parse(code) print(parse_tree.pretty()) for instruction in parse_tree.children: run_instruction(instruction) sample_code = """ repeat 9 { print helloworld } """ run_printer(sample_code)<|fim_prefix|># repo: RavicharanN/DSL-to-Python-prototype path:...
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{ "lang": "python", "repo": "RavicharanN/DSL-to-Python-prototype", "path": "/sample_dsl.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if iter % print_every == 0: print_loss_avg = print_loss_total / print_every print_loss_total = 0 print('%s (%d %d%%) %.4f' % (helpFn.time_slice(start, iter / n_iters), iter, iter / n_iters * 100, print_loss_avg)) ...
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{ "lang": "python", "repo": "deepanshugarg257/seq2seq-PyTorch", "path": "/main.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> use_cuda = torch.cuda.is_available() data_preprocess = DataPreprocess() input_lang, output_lang, pairs = data_preprocess.prepare_data('eng', 'hin', True) print(random.choice(pairs)) # embedding_src = GetEmbedding(input_lang.word2index, input_lang.word2count, "../Embeddings/GoogleNews...
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{ "lang": "python", "repo": "deepanshugarg257/seq2seq-PyTorch", "path": "/main.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: deepanshugarg257/seq2seq-PyTorch path: /main.py import time import random import torch import torch.nn as nn from torch import optim from dataPreprocess import DataPreprocess from embeddingGoogle import GetEmbedding from encoderRNN import EncoderRNN from decoderRNN import DecoderRNN from trainN...
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{ "lang": "python", "repo": "deepanshugarg257/seq2seq-PyTorch", "path": "/main.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>slack_add, name='slack_add'), path('slack/oauth', views.slack_oauth, name='slack_oauth'), ]<|fim_prefix|># repo: KSU-SWLab/ECC-main path: /main/urls.py from django.urls import path from . import view<|fim_middle|>s urlpatterns = [ path('slack/add', views.
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{ "lang": "python", "repo": "KSU-SWLab/ECC-main", "path": "/main/urls.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: KSU-SWLab/ECC-main path: /main/urls.py from django.urls import path from . import view<|fim_suffix|>auth', views.slack_oauth, name='slack_oauth'), ]<|fim_middle|>s urlpatterns = [ path('slack/add', views.slack_add, name='slack_add'), path('slack/o
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{ "lang": "python", "repo": "KSU-SWLab/ECC-main", "path": "/main/urls.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def eval_ssd_r34_mlperf_coco(args): from coco import COCO # Check that GPUs are actually available use_cuda = not args.no_cuda and torch.cuda.is_available() dboxes = dboxes_R34_coco(args.image_size,args.strides) encoder = Encoder(dboxes) val_trans = SSDTransformer(dboxes, (args.im...
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{ "lang": "python", "repo": "yananYangYSU/inference", "path": "/others/cloud/single_stage_detector/pytorch/infer.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: yananYangYSU/inference path: /others/cloud/single_stage_detector/pytorch/infer.py import os from argparse import ArgumentParser from utils import DefaultBoxes, Encoder, COCODetection from base_model import Loss from utils import SSDTransformer from ssd_r34 import SSD_R34 import torch from torch.a...
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{ "lang": "python", "repo": "yananYangYSU/inference", "path": "/others/cloud/single_stage_detector/pytorch/infer.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> tokens = { 'comment': [ # Comment (r'#.*(?=\n)', Comment), ], 'string': [ # Double-quoted string (r'(?s)"(\\\\|\\[0-7]+|\\.|[^"\\])*"', String.Double), # Single-quoted string (r"(?s)'(\\\\|\\[0-7]+|\\.|[^'\...
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{ "lang": "python", "repo": "stefanholek/pygments-openssl", "path": "/pygments_openssl/lexer.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: stefanholek/pygments-openssl path: /pygments_openssl/lexer.py """Pygments lexer for OpenSSL configuration files With inspiration from IniLexer and BashLexer. """ from pygments.lexer import Lexer, LexerContext, RegexLexer, ExtendedRegexLexer, \ bygroups, include, using, this, do_insertions, ...
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{ "lang": "python", "repo": "stefanholek/pygments-openssl", "path": "/pygments_openssl/lexer.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> view_counter = ndb.IntegerProperty() class MyRequestHandler(webapp2.RequestHandler): def get(self): acct = Account.get_by_id(users.get_current_user().user_id()) acct.view_counter += 1 acct.put() # ...read something else from Datastore... self.response.ou...
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{ "lang": "python", "repo": "GoogleCloudPlatform/python-docs-samples", "path": "/appengine/standard/ndb/async/app_sync.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> acct = Account.get_by_id(users.get_current_user().user_id()) acct.view_counter += 1 acct.put() # ...read something else from Datastore... self.response.out.write("Content of the page") app = webapp2.WSGIApplication([("/", MyRequestHandler)])<|fim_prefix|># repo:...
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{ "lang": "python", "repo": "GoogleCloudPlatform/python-docs-samples", "path": "/appengine/standard/ndb/async/app_sync.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: GoogleCloudPlatform/python-docs-samples path: /appengine/standard/ndb/async/app_sync.py # Copyright 2016 Google Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the 'License'); # you may not use this file except in compliance with the License. # You may obtain a copy ...
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{ "lang": "python", "repo": "GoogleCloudPlatform/python-docs-samples", "path": "/appengine/standard/ndb/async/app_sync.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>: 24884341205, }, "in": { "mcast_pkts": 214513, "bcast_pkts": 0, "ucast_pkts": 15716712, "name": "GigabitEthernet1/0/1", "octets": 3161931167, }, } } }<|fim_prefix|># repo: Cisco...
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{ "lang": "python", "repo": "CiscoTestAutomation/genieparser", "path": "/src/genie/libs/parser/ios/tests/ShowInterfacesCounters/cli/equal/golden_output_expected.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: CiscoTestAutomation/genieparser path: /src/genie/libs/parser/ios/tests/ShowInterfacesCounters/cli/equal/golden_output_expected.py expected_output = { "interface": { "GigabitEthernet1/0/1": { "out": { "mcast_pkts": 188396, "bcast_pkts": 0, ...
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{ "lang": "python", "repo": "CiscoTestAutomation/genieparser", "path": "/src/genie/libs/parser/ios/tests/ShowInterfacesCounters/cli/equal/golden_output_expected.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>cast_pkts": 15716712, "name": "GigabitEthernet1/0/1", "octets": 3161931167, }, } } }<|fim_prefix|># repo: CiscoTestAutomation/genieparser path: /src/genie/libs/parser/ios/tests/ShowInterfacesCounters/cli/equal/golden_output_expected.py expected_outp...
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{ "lang": "python", "repo": "CiscoTestAutomation/genieparser", "path": "/src/genie/libs/parser/ios/tests/ShowInterfacesCounters/cli/equal/golden_output_expected.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> k = k - money[i] count += 1 break print(count)<|fim_prefix|># repo: StudyForCoding/BEAKJOON path: /17_Greedy/Step01/wowo0709.py n,k = map(int,input().split()) money = [] for i in range(n): money.append(int(input())) count = 0 while k != 0: for i in range(len<|fim_middle|>(m...
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{ "lang": "python", "repo": "StudyForCoding/BEAKJOON", "path": "/17_Greedy/Step01/wowo0709.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: StudyForCoding/BEAKJOON path: /17_Greedy/Step01/wowo0709.py n,k = map(int,input().split()) money = [] for i in range(n): money.append(int(input())) count = 0 while k != 0: for i in range(len<|fim_suffix|> k = k - money[i] count += 1 break print(count)<|fim_middle|>(m...
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{ "lang": "python", "repo": "StudyForCoding/BEAKJOON", "path": "/17_Greedy/Step01/wowo0709.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: jasonpul/electron-python-boilerplate path: /server/server.py """ Script for starting a zerorpc server on the specified port. The port can be given as a command line argument when starting the server. Is no port specified, then port 8484 is used. The API exposed is defined in the file API.py. """...
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{ "lang": "python", "repo": "jasonpul/electron-python-boilerplate", "path": "/server/server.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Set address to localhost address = "tcp://127.0.0.1:" + parse_port() # Start server with class API as server = zerorpc.Server(API.API()) server.bind(address) print("Server started running on {}".format(address)) # Blocking command. Keeps server running server.run() i...
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{ "lang": "python", "repo": "jasonpul/electron-python-boilerplate", "path": "/server/server.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> P = df.FunctionSpace(mesh, "CG", 1) V = df.VectorFunctionSpace(mesh, "CG", 1) domains = df.CellFunction("size_t", mesh) boundaries = df.FacetFunction("size_t", mesh) around = Around() boundaries.set_all(0) around.mark(boundaries, 1) bcs_phi = df.DirichletBC(P, df.Constan...
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{ "lang": "python", "repo": "gautelinga/phasefield", "path": "/pf_circle.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: gautelinga/phasefield path: /pf_circle.py import numpy as np import dolfin as df import mshr from mpi4py import MPI import math def make_circle_mesh(R, res=40.): domain = mshr.Circle(df.Point(0., 0.), 1.) mesh = mshr.generate_mesh(domain, res) mesh.coordinates()[:] *= R return m...
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{ "lang": "python", "repo": "gautelinga/phasefield", "path": "/pf_circle.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: DataDog/integrations-extras path: /sonarr/tests/conftest.py import os import pytest from datadog_checks.dev import docker_run, get_docker_hostname, get_here URL = 'http://{}:8989'.format(get_docker_hostname()) INSTANCE = {'url': URL, 'api_key': 'deadbeef'} @pytest.fixture(scope='session') de...
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{ "lang": "python", "repo": "DataDog/integrations-extras", "path": "/sonarr/tests/conftest.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> compose_file = os.path.join(get_here(), 'docker-compose.yml') # This does 3 things: # # 1. Spins up the services defined in the compose file # 2. Waits for the url to be available before running the tests # 3. Tears down the services when the tests are finished with docker_run...
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{ "lang": "python", "repo": "DataDog/integrations-extras", "path": "/sonarr/tests/conftest.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> def __init__(self, domain='gw.api.taobao.com', port=80): RestApi.__init__(self, domain, port) self.template_id = None def getapiname(self): return 'cainiao.cloudprint.customares.get'<|fim_prefix|># repo: ScottLeeF/python-example path: /taobao-tianmao/top/api/rest/Cai...
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{ "lang": "python", "repo": "ScottLeeF/python-example", "path": "/taobao-tianmao/top/api/rest/CainiaoCloudprintCustomaresGetRequest.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: ScottLeeF/python-example path: /taobao-tianmao/top/api/rest/CainiaoCloudprintCustomaresGetRequest.py ''' Created by auto_sdk on 2018.07.26 ''' from top.api.base import RestApi <|fim_suffix|> return 'cainiao.cloudprint.customares.get'<|fim_middle|>class CainiaoCloudprintCustomaresGe...
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{ "lang": "python", "repo": "ScottLeeF/python-example", "path": "/taobao-tianmao/top/api/rest/CainiaoCloudprintCustomaresGetRequest.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> return 'cainiao.cloudprint.customares.get'<|fim_prefix|># repo: ScottLeeF/python-example path: /taobao-tianmao/top/api/rest/CainiaoCloudprintCustomaresGetRequest.py ''' Created by auto_sdk on 2018.07.26 ''' from top.api.base import RestApi class CainiaoCloudprintCustomaresGetRequest(RestA...
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{ "lang": "python", "repo": "ScottLeeF/python-example", "path": "/taobao-tianmao/top/api/rest/CainiaoCloudprintCustomaresGetRequest.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> try: with open(os.path.dirname(__file__) + "/" + ConfigurationModule.CONFIG_FILE, 'r') as f: data = json.load(f) props = None for mdl in data["config"]["modules"]: if mdl["name"] == mdlname: props = mdl ...
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{ "lang": "python", "repo": "DorianThiv/py-ryn", "path": "/src/samples/config.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: DorianThiv/py-ryn path: /src/samples/config.py import sys import os import json class ConfigurationModule: CONFIG_FILE = "files/config.json" @staticmethod def addModule(mdlname, lower_name, upper_name, class_name, callback=None): try: with open(os.path.dirname(_...
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{ "lang": "python", "repo": "DorianThiv/py-ryn", "path": "/src/samples/config.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: mustelideos/recsys-challenge-2019 path: /scripts/014_Features_General_01.py future', default=DEFAULT_SPLIT) parser.add_argument('--debug', help='debug mode (verbose output and no saving)', action='store_true') return parser def setup_logger(debug): logger = logging.getLogger() lo...
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{ "lang": "python", "repo": "mustelideos/recsys-challenge-2019", "path": "/scripts/014_Features_General_01.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> df_all = pd.concat(df).reset_index() df_temp = df_all.groupby('session_id').step.max().reset_index() df_temp['is_last_step'] = True df_all = df_all.merge(df_temp, how='left', on=['session_id', 'step']) df_all['is_last_step'] = df_all['is_last_step'].fillna(False)...
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{ "lang": "python", "repo": "mustelideos/recsys-challenge-2019", "path": "/scripts/014_Features_General_01.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def get_index(row): return row.imp_list.index(row.reference_true_enc) def make_target(df, is_test=False): if is_test: df['targ'] = 'nan' else: df['targ'] = df.apply(get_index, axis=1) df.drop('reference_true_enc', axis=1, inplace=True) ...
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{ "lang": "python", "repo": "mustelideos/recsys-challenge-2019", "path": "/scripts/014_Features_General_01.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: HectorPulido/ConsoleGameEngine path: /gameEngine.py import math class gameEngine: def __init__(self, room, screenSize, pov, minStep, minStepAngle, maxDistance, wallHeight): self.roomMatrix = room.split("\n") self.screenSize = screenSize self.pov = pov self.mi...
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{ "lang": "python", "repo": "HectorPulido/ConsoleGameEngine", "path": "/gameEngine.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if distance >= 0 and distance < 4: return u"\u2588" elif distance >= 4 and distance < 8: return u"\u2593" elif distance >= 8 and distance < 12: return u"\u2592" elif distance >= 10 and distance < 15: return u"\u2591" r...
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{ "lang": "python", "repo": "HectorPulido/ConsoleGameEngine", "path": "/gameEngine.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> distances = [] for i in range(self.screenSize[0]): rayAngle = (angle - self.pov/2) + (i/self.screenSize[0]) * self.pov value = self.calcDistance(position, rayAngle) distances.append(value) return distances def getBlock(self, distance): ...
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{ "lang": "python", "repo": "HectorPulido/ConsoleGameEngine", "path": "/gameEngine.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> res[j][c] = res[i][1 - c] + 1 bfs.append([j, 1 - c]) return [x if x < n * 2 else -1 for x in map(min, res)]<|fim_prefix|># repo: sweetpand/Algorithms path: /AlgoOnGraphs/1129. Shortest Path with Alternating Colors/shortestAlternatingPaths1.py def shortestAlternatingPaths(se...
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{ "lang": "python", "repo": "sweetpand/Algorithms", "path": "/AlgoOnGraphs/1129. Shortest Path with Alternating Colors/shortestAlternatingPaths1.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: sweetpand/Algorithms path: /AlgoOnGraphs/1129. Shortest Path with Alternating Colors/shortestAlternatingPaths1.py def shortestAlternatingPaths(self, n, red_edges, blue_edges): G = [[[], []] for i in range(n)] for i, j in red_edges: G<|fim_suffix|> res[j][c] = res[i][1 - c] + 1 ...
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{ "lang": "python", "repo": "sweetpand/Algorithms", "path": "/AlgoOnGraphs/1129. Shortest Path with Alternating Colors/shortestAlternatingPaths1.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Lothilius/oiPy path: /fb_grab_events.py __author__ = 'Lothilius' import json import unicodedata import authentication as oath import re from datetime import datetime import urllib2 import numpy as np url = 'https://graph.facebook.com/v2.2/100004568139047/events/not_replied?fields=id&limit=200' ...
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{ "lang": "python", "repo": "Lothilius/oiPy", "path": "/fb_grab_events.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> return the_how def change_datetime_format(the_datetime): """Change the format of the datetime value to a true python datetime value.""" year = int(the_datetime[:4]) month = int(the_datetime[5:7]) day = int(the_datetime[8:10]) try: hour = int(the_datetime[11:13]) m...
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{ "lang": "python", "repo": "Lothilius/oiPy", "path": "/fb_grab_events.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: paulxiong/fixmatch path: /imagenet/datasets/imagenet.py License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ...
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{ "lang": "python", "repo": "paulxiong/fixmatch", "path": "/imagenet/datasets/imagenet.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: paulxiong/fixmatch path: /imagenet/datasets/imagenet.py /www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express o...
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{ "lang": "python", "repo": "paulxiong/fixmatch", "path": "/imagenet/datasets/imagenet.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> Returns: Dictionary with combined suvervised and unsupervised examples. """ # Copy all values from supervised data as is output_dict = dict(sup_data) # take only 'image' and 'aug_image' from unsupervised dataset and # rename then into 'unsup_image' and 'unsup_aug_image' if 'image' in un...
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{ "lang": "python", "repo": "paulxiong/fixmatch", "path": "/imagenet/datasets/imagenet.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: chinmayHundekari/NSEDatabase path: /getbhav.py #Copyright (c) 2017 Chinmay Hundekari #See the file license.txt for copying permission. import urllib2 import datetime from dateutil.relativedelta import relativedelta import requests import httplib, StringIO, zipfile import os import sys class nse...
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{ "lang": "python", "repo": "chinmayHundekari/NSEDatabase", "path": "/getbhav.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> print "Downloading %s ..." % (filename) if c.getResponse(reqstr) == -1: return -1 sdata = StringIO.StringIO(c.data) z = zipfile.ZipFile(sdata) try: csv = z.read(z.namelist()[0]) except Exception as e: print "%s" % (format(e)) return -1 if not csv...
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{ "lang": "python", "repo": "chinmayHundekari/NSEDatabase", "path": "/getbhav.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> @staticmethod def _get_defaults(context, config_defaults): """Get default quota values. If the default class is defined, use the values defined in the class, otherwise use the values from the config. :param context: :param config_defaults: :return:...
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{ "lang": "python", "repo": "rickyhai11/plmano_rm", "path": "/playnetmano_rm/api/controllers/quota_manager.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: rickyhai11/plmano_rm path: /playnetmano_rm/api/controllers/quota_manager.py import collections from oslo_config import cfg from oslo_log import log as logging from oslo_log import versionutils import pecan from pecan import expose from pecan import request import restcomm import six from playne...
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{ "lang": "python", "repo": "rickyhai11/plmano_rm", "path": "/playnetmano_rm/api/controllers/quota_manager.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> ************************************************************ ####UnitTest Specifications - Given: line1 When : line2 Then : line3 `test__findDockBlock()` ******************************************...
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{ "lang": "python", "repo": "anconaesselmann/LiveUnit", "path": "/classes_and_testsTest/DocumentationFromUnitTestsTestData/DataSet8_py_Result.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: anconaesselmann/LiveUnit path: /classes_and_testsTest/DocumentationFromUnitTestsTestData/DataSet8_py_Result.py class DocumentationFromUnitTestsCommand(sublime_plugin.TextCommand): def _getMethodNames(self, fileContent, fileExtension): """ finds all method names int string "fileContent...
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{ "lang": "python", "repo": "anconaesselmann/LiveUnit", "path": "/classes_and_testsTest/DocumentationFromUnitTestsTestData/DataSet8_py_Result.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> `test__findDockBlock()` ************************************************************ @param str classFileContent The content of a class file @param str functionName the name of a function returns: the position and length of the documentat...
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{ "lang": "python", "repo": "anconaesselmann/LiveUnit", "path": "/classes_and_testsTest/DocumentationFromUnitTestsTestData/DataSet8_py_Result.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: catapult-project/catapult path: /dashboard/dashboard/services/crrev_service_test.py # Copyright 2017 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. from __future__ import print_function from __futur...
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{ "lang": "python", "repo": "catapult-project/catapult", "path": "/dashboard/dashboard/services/crrev_service_test.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }