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<|fim_prefix|># repo: Liam-Deacon/phaseshifts path: /phaseshifts/lib/hartfock.py bs(alfa) >= 0.001: if (alfa > 0.): fx = 1.0 fc = 1.0 else: fx = 1.5 * abs(alfa) fc = 0.0 # note: we don't deal with spin-polarization in local exchange # picture, s...
code_fim
hard
{ "lang": "python", "repo": "Liam-Deacon/phaseshifts", "path": "/phaseshifts/lib/hartfock.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Liam-Deacon/phaseshifts path: /phaseshifts/lib/hartfock.py occ[i] * coeff coeffj = occ[j] * coeff ri = ratio * coeffi rj = ratio * coeffj rc = coeff * occ[i] * occ[j] xnum2 = xnum * xnum xout...
code_fim
hard
{ "lang": "python", "repo": "Liam-Deacon/phaseshifts", "path": "/phaseshifts/lib/hartfock.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> return self.row - HEIGHT_BUFFER def copy(self): return copy.deepcopy(self)<|fim_prefix|># repo: joeyism/cloud-storage-tui path: /cloudstoragetui/cursor_state.py import copy from cloudstoragetui.constants import HEIGHT_BUFFER class CursorState: _MIN_ROW = 4 _MAX_COLUMNS = 2 ...
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medium
{ "lang": "python", "repo": "joeyism/cloud-storage-tui", "path": "/cloudstoragetui/cursor_state.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: joeyism/cloud-storage-tui path: /cloudstoragetui/cursor_state.py import copy from cloudstoragetui.constants import HEIGHT_BUFFER class CursorState: _MIN_ROW = 4 _MAX_COLUMNS = 2 def __init__(self): self.column = 0 self.depth = 0 self.row = self._MIN_ROW ...
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{ "lang": "python", "repo": "joeyism/cloud-storage-tui", "path": "/cloudstoragetui/cursor_state.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> return torch.matmul(out_grads.T, out_grads) # f_out x f_out @staticmethod def gram_A(module, in_data1, in_data2): return torch.matmul(in_data1, in_data2.T) # n x n @staticmethod def gram_B(module, out_grads1, out_grads2): return torch.matmul(out_grads1, out_grad...
code_fim
hard
{ "lang": "python", "repo": "LaplaceKorea/asdfghjkl", "path": "/asdfghjkl/operations/linear.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> return torch.matmul(in_data1, in_data2.T) # n x n @staticmethod def gram_B(module, out_grads1, out_grads2): return torch.matmul(out_grads1, out_grads2.T) # n x n<|fim_prefix|># repo: LaplaceKorea/asdfghjkl path: /asdfghjkl/operations/linear.py import torch from torch import nn ...
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{ "lang": "python", "repo": "LaplaceKorea/asdfghjkl", "path": "/asdfghjkl/operations/linear.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: LaplaceKorea/asdfghjkl path: /asdfghjkl/operations/linear.py import torch from torch import nn from .operation import Operation class Linear(Operation): """ module.weight: f_out x f_in module.bias: f_out x 1 Argument shapes in_data: n x f_in out_grads: n x f_out ""...
code_fim
hard
{ "lang": "python", "repo": "LaplaceKorea/asdfghjkl", "path": "/asdfghjkl/operations/linear.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> """ :rtype: int """ return self.s[-1][1] def popMax(self): """ :rtype: int """ m = self.s[-1][1] t = [] while self.s[-1][0] != m: t.append(self.pop()) e = self.pop() for x in reversed(t): self.push(x) ...
code_fim
hard
{ "lang": "python", "repo": "phucle2411/LeetCode", "path": "/Python/max-stack.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: phucle2411/LeetCode path: /Python/max-stack.py # https://leetcode.com/problems/max-stack/ class MaxStack: def __init__(self): """ initialize your data structure here. """ self.s = [] def push(self, x): """ :type x: int :rtype: vo...
code_fim
hard
{ "lang": "python", "repo": "phucle2411/LeetCode", "path": "/Python/max-stack.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if network.getStartIp(): print(' ' * 2 + '- Start IP: {0}'.format(network.getStartIp())) if network.getGateway(): print(' ' * 2 + '- Gateway: {0}'.format(network.getGateway())) if __name__ == '__main__': GetNetworkListCli().run()<|fim_prefix|>...
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{ "lang": "python", "repo": "ilumb/tortuga", "path": "/src/installer/bin/get-network-list", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> outputAttrGroup = _('Output formatting options') self.addOptionGroup(outputAttrGroup, None) self.addOptionToGroup( outputAttrGroup, '--json', action='store_true', default=False, help=_('JSON formatted output') ) self.addOption...
code_fim
hard
{ "lang": "python", "repo": "ilumb/tortuga", "path": "/src/installer/bin/get-network-list", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: ilumb/tortuga path: /src/installer/bin/get-network-list #!/usr/bin/env python # Copyright 2008-2018 Univa Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at #...
code_fim
hard
{ "lang": "python", "repo": "ilumb/tortuga", "path": "/src/installer/bin/get-network-list", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: qtile/qtile path: /libqtile/layout/ratiotile.py # -*- coding:utf-8 -*- # Copyright (c) 2011 Florian Mounier # Copyright (c) 2012-2013, 2015 Tycho Andersen # Copyright (c) 2013 Björn Lindström # Copyright (c) 2013 Tao Sauvage # Copyright (c) 2014 ramnes # Copyright (c) 2014 Sean Vig # Copyright (c...
code_fim
hard
{ "lang": "python", "repo": "qtile/qtile", "path": "/libqtile/layout/ratiotile.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> """Tries to tile all windows in the width/height ratio passed in""" defaults = [ ("border_focus", "#0000ff", "Border colour(s) for the focused window."), ("border_normal", "#000000", "Border colour(s) for un-focused windows."), ("border_width", 1, "Border width."), ...
code_fim
hard
{ "lang": "python", "repo": "qtile/qtile", "path": "/libqtile/layout/ratiotile.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> self.layout_info = method(screen.width, screen.height, screen.x, screen.y) self.dirty = False try: idx = self.clients.index(win) except ValueError: win.hide() return x, y, w, h = self.layout_info[idx] if win.has_f...
code_fim
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{ "lang": "python", "repo": "qtile/qtile", "path": "/libqtile/layout/ratiotile.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: xryuseix/Heavy-Tire path: /WebAPI/inferModel/learningModel.py import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import LogisticRegression from sklearn.metrics import classification_report from sklearn.metrics import confusion_matrix from sklearn.metr...
code_fim
hard
{ "lang": "python", "repo": "xryuseix/Heavy-Tire", "path": "/WebAPI/inferModel/learningModel.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> svc = LinearSVC(max_iter=3000) svc.fit(trainX, trainY) return svc # グリッドサーチ def gridSearch(trainX, trainY, model_name, param): gscv = GridSearchCV(model_name, param, cv=4, verbose=3) gscv.fit(trainX, trainY) return gscv # グリッドサーチ def svc(trainX, trainY): svc = SVC(verbose=1...
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medium
{ "lang": "python", "repo": "xryuseix/Heavy-Tire", "path": "/WebAPI/inferModel/learningModel.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> verbose_name = _("Picture") verbose_name_plural = _("Pictures") def __str__(self): return self.image.name if self.image else u'(no image)'<|fim_prefix|># repo: onepercentclub/bluebottle path: /bluebottle/contentplugins/models.py """ ContentItem models for custom django-fluent...
code_fim
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{ "lang": "python", "repo": "onepercentclub/bluebottle", "path": "/bluebottle/contentplugins/models.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> validators=[ FileMimetypeValidator( allowed_mimetypes=settings.IMAGE_ALLOWED_MIME_TYPES, ), validate_file_infection ] ) align = models.CharField(_("Align"), max_length=50, choices=PictureAlignment.choi...
code_fim
hard
{ "lang": "python", "repo": "onepercentclub/bluebottle", "path": "/bluebottle/contentplugins/models.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: onepercentclub/bluebottle path: /bluebottle/contentplugins/models.py """ ContentItem models for custom django-fluent-contents plugins. """ from builtins import object from future.utils import python_2_unicode_compatible from django.conf import settings from django.db import models from django.u...
code_fim
hard
{ "lang": "python", "repo": "onepercentclub/bluebottle", "path": "/bluebottle/contentplugins/models.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|>if __name__ == '__main__': config = dict() if args.dataset == 'wikipedia': config['img_input_dim'] = 2048 config['txt_input_dim'] = 2048 config['n_clusters'] = 10 config['img_hiddens'] = [1024, 256, 128] config['txt_hiddens'] = [1024, 256, 128] confi...
code_fim
hard
{ "lang": "python", "repo": "jiangyangby/DM2C", "path": "/code/train.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: jiangyangby/DM2C path: /code/train.py from __future__ import print_function, absolute_import, division import os import time import argparse import scipy.io as sio import torch from sklearn.cluster import KMeans from model import MultimodalGAN from utils import calculate_metrics, check_dir_exi...
code_fim
hard
{ "lang": "python", "repo": "jiangyangby/DM2C", "path": "/code/train.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>parser.add_argument('--update_p_freq', type=int, default=10) parser.add_argument('--update_d_freq', type=int, default=5) parser.add_argument('--tol', type=int, default=1e-3) parser.add_argument('--save_freq', type=int, default=25) parser.add_argument('--log_freq', type=int, default=5) parser.add_argument(...
code_fim
hard
{ "lang": "python", "repo": "jiangyangby/DM2C", "path": "/code/train.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: mindspore-ai/mindinsight path: /tests/st/func/datavisual/image/test_single_image_restful_api.py # Copyright 2020 Huawei Technologies Co., Ltd # # 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 c...
code_fim
hard
{ "lang": "python", "repo": "mindspore-ai/mindinsight", "path": "/tests/st/func/datavisual/image/test_single_image_restful_api.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> """Test getting single image without step.""" params = dict(train_id="./summary0", tag="tag_name_0/image") url = get_url(BASE_URL, params) response = client.get(url) assert response.status_code == 400 response = response.get_json() assert response[...
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{ "lang": "python", "repo": "mindspore-ai/mindinsight", "path": "/tests/st/func/datavisual/image/test_single_image_restful_api.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> """Test getting single image without tag.""" params = dict(train_id="./summary0", step=1) url = get_url(BASE_URL, params) response = client.get(url) assert response.status_code == 400 response = response.get_json() assert response['error_code'] == ...
code_fim
hard
{ "lang": "python", "repo": "mindspore-ai/mindinsight", "path": "/tests/st/func/datavisual/image/test_single_image_restful_api.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> return self.get_body_params().get('slaveSpec') def set_slaveSpec(self,slaveSpec): self.add_body_params('slaveSpec', slaveSpec) def get_region(self): return self.get_body_params().get('region') def set_region(self,region): self.add_body_params('region', region) def get_masterNum(...
code_fim
medium
{ "lang": "python", "repo": "aliyun/aliyun-openapi-python-sdk", "path": "/aliyun-python-sdk-foas/aliyunsdkfoas/request/v20181111/CreateCellClusterOrderRequest.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: aliyun/aliyun-openapi-python-sdk path: /aliyun-python-sdk-foas/aliyunsdkfoas/request/v20181111/CreateCellClusterOrderRequest.py # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional i...
code_fim
hard
{ "lang": "python", "repo": "aliyun/aliyun-openapi-python-sdk", "path": "/aliyun-python-sdk-foas/aliyunsdkfoas/request/v20181111/CreateCellClusterOrderRequest.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> homepage, prefixes = element if "github.com" in homepage: # skip github links for now return homepage, prefixes, False, None if "purl.obolibrary.org" in homepage: # this is never acceptable return homepage, prefixes, True, "no PURLs allowed" failed = False msg = "" ...
code_fim
hard
{ "lang": "python", "repo": "biopragmatics/bioregistry", "path": "/src/bioregistry/health/check_homepages.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: biopragmatics/bioregistry path: /src/bioregistry/health/check_homepages.py # -*- coding: utf-8 -*- """A script to check which homepages in entries in the Bioregistry actually can be accessed.""" import sys from collections import defaultdict from datetime import datetime from typing import Opti...
code_fim
hard
{ "lang": "python", "repo": "biopragmatics/bioregistry", "path": "/src/bioregistry/health/check_homepages.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> failed = sum(failed for _, _, failed, _ in rv) click.secho( f"{failed}/{len(rv)} ({failed / len(rv):.2%}) homepages failed to load", fg="red", bold=True ) df = pd.DataFrame( columns=["prefix", "homepage", "message"], data=[ (prefix, homepage, msg) ...
code_fim
hard
{ "lang": "python", "repo": "biopragmatics/bioregistry", "path": "/src/bioregistry/health/check_homepages.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def test_version(self) -> None: assert_success( ["version"], f"git-machete version {__version__}\n" )<|fim_prefix|># repo: VirtusLab/git-machete path: /tests/test_version.py from git_machete import __version__ from .mockers import assert_success <|fim_middl...
code_fim
easy
{ "lang": "python", "repo": "VirtusLab/git-machete", "path": "/tests/test_version.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: VirtusLab/git-machete path: /tests/test_version.py from git_machete import __version__ <|fim_suffix|> assert_success( ["version"], f"git-machete version {__version__}\n" )<|fim_middle|>from .mockers import assert_success class TestVersion: def test_...
code_fim
medium
{ "lang": "python", "repo": "VirtusLab/git-machete", "path": "/tests/test_version.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def test_version(self) -> None: assert_success( ["version"], f"git-machete version {__version__}\n" )<|fim_prefix|># repo: VirtusLab/git-machete path: /tests/test_version.py from git_machete import __version__ from .mockers import assert_success <|fim_middl...
code_fim
easy
{ "lang": "python", "repo": "VirtusLab/git-machete", "path": "/tests/test_version.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def log_statistics(bot_func): @functools.wraps(bot_func) def wrapper(bot, update, *args, **kwargs): message = update.message.text user_id = str(update.message.from_user.id) chat_id = update.message.chat_id msg = "{} triggered, user_id: {}, chat_id {}" logger...
code_fim
hard
{ "lang": "python", "repo": "MrLokans/bank_telegram_bot", "path": "/bot/decorators.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def log_statistics(bot_func): @functools.wraps(bot_func) def wrapper(bot, update, *args, **kwargs): message = update.message.text user_id = str(update.message.from_user.id) chat_id = update.message.chat_id msg = "{} triggered, user_id: {}, chat_id {}" logge...
code_fim
hard
{ "lang": "python", "repo": "MrLokans/bank_telegram_bot", "path": "/bot/decorators.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: MrLokans/bank_telegram_bot path: /bot/decorators.py """ Useful decorators """ import functools import telegram from bot.exceptions import BotLoggedError from bot.settings import logging logger = logging.getLogger('telegrambot') <|fim_suffix|> try: bot_func(bot, update, *a...
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{ "lang": "python", "repo": "MrLokans/bank_telegram_bot", "path": "/bot/decorators.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> world = World(map_topic=map_tc) turtle1 = Turtle(name) msg = LaserScan() msg.angle_min = angle_min msg.angle_max = angle_max msg.angle_increment = angle_increment msg.range_max = range_max msg.range_min = range_min msg.time_increment = 0.001 msg.range_min = range_min msg.header.frame_id = frame_id star...
code_fim
hard
{ "lang": "python", "repo": "qingchunlizhi/turtlebot2-for-clearning-robot", "path": "/turtlesim_examples/scripts/fake_laser.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: qingchunlizhi/turtlebot2-for-clearning-robot path: /turtlesim_examples/scripts/fake_laser.py #!/usr/bin/env python import rospy from utils import Turtle from utils import World from math import cos, sin from sensor_msgs.msg import LaserScan from time import time rospy.init_node('laser_node') ...
code_fim
hard
{ "lang": "python", "repo": "qingchunlizhi/turtlebot2-for-clearning-robot", "path": "/turtlesim_examples/scripts/fake_laser.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def main(): args = parse_args() args.func(args) if __name__ == '__main__': main()<|fim_prefix|># repo: kingsamchen/anvil path: /anvil.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- # 0xCCCCCCCC import argparse import job_init VER = '0.8.0' def show_anvil_version(_): <|fim_middle|> ...
code_fim
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{ "lang": "python", "repo": "kingsamchen/anvil", "path": "/anvil.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: kingsamchen/anvil path: /anvil.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- # 0xCCCCCCCC import argparse import job_init VER = '0.8.0' def show_anvil_version(_): <|fim_suffix|> # command version ver_parser = cmd_parser.add_parser('version', help='show version and exit') ver_p...
code_fim
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{ "lang": "python", "repo": "kingsamchen/anvil", "path": "/anvil.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def parse_args(): parser = argparse.ArgumentParser() cmd_parser = parser.add_subparsers(title='commands', dest='command') cmd_parser.required = True # command init init_parser = cmd_parser.add_parser('init', help='bootstrap a new project') init_parser.set_defaults(func=job_init.r...
code_fim
medium
{ "lang": "python", "repo": "kingsamchen/anvil", "path": "/anvil.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: SpencerHastings/DiscordBot2.0 path: /bot.py import asyncio import os from discord.ext import commands from cogs import add_cogs from config.token import botToken from config.settings import prefix if os.name == 'nt': asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy()) ...
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{ "lang": "python", "repo": "SpencerHastings/DiscordBot2.0", "path": "/bot.py", "mode": "psm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|># random stuff below # async def background_task(): # await bot.wait_until_ready() # await asyncio.sleep(5) # while not bot.is_closed(): # try: # logging.info("Background Task") # await asyncio.sleep(5) # except Exception as e: # logging.err...
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{ "lang": "python", "repo": "SpencerHastings/DiscordBot2.0", "path": "/bot.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|> pass my_singleton = MySingleton()<|fim_prefix|># repo: youaresherlock/PythonPractice path: /Foundation/singleton/mysingleton1.py #!usr/bin/python # -*- coding:utf8 -*- """ 方式一: 其实,Python 的模块就是天然的单例模式,因为模块在第一次导入时 ,会生成 .pyc 文件,当第二次导入时,就会直接加载 .pyc 文件, 而不会再次执行模块代码。因此,我们只需把相关的函数和数据定义在一个模块中, 就可以获得一个单...
code_fim
easy
{ "lang": "python", "repo": "youaresherlock/PythonPractice", "path": "/Foundation/singleton/mysingleton1.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> my_singleton = MySingleton()<|fim_prefix|># repo: youaresherlock/PythonPractice path: /Foundation/singleton/mysingleton1.py #!usr/bin/python # -*- coding:utf8 -*- """ 方式一: 其实,Python 的模块就是天然的单例模式,因为模块在第一次导入时 ,会生成 .pyc 文件,当第二次导入时,就会直接加载 .pyc 文件, 而不会再次执行模块代码。因此,我们只需把相关的函数和数据定义在一个模块中, 就可以获得一个单例对象了 """ cla...
code_fim
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{ "lang": "python", "repo": "youaresherlock/PythonPractice", "path": "/Foundation/singleton/mysingleton1.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: youaresherlock/PythonPractice path: /Foundation/singleton/mysingleton1.py #!usr/bin/python # -*- coding:utf8 -*- """ 方式一: 其实,Python 的模块就是天然的单例模式,因为模块在第一次导入时 ,会生成 .pyc 文件,当第二次导入时,就会直接加载 .pyc 文件, 而不会再次执行模块代码。因此,我们只需把相关的函数和数据定义在一个模块中, 就可以获得一个单例对象了 """ <|fim_suffix|> def foo(self): pass ...
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{ "lang": "python", "repo": "youaresherlock/PythonPractice", "path": "/Foundation/singleton/mysingleton1.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: TrendingTechnology/util path: /src/python/zensols/persist/composite.py """Stash implementations. """ __author__ = 'Paul Landes' import logging from typing import Any, Set, Tuple from functools import reduce import collections import shutil from pathlib import Path from . import PersistableError...
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{ "lang": "python", "repo": "TrendingTechnology/util", "path": "/src/python/zensols/persist/composite.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if logger.isEnabledFor(logging.DEBUG): logger.debug(f'dump {name}({self.attribute_name}) ' + f'-> {inst.__class__}') org_attr_val = getattr(inst, self.attribute_name) context, composite = self._to_composite(org_attr_val) try: ...
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{ "lang": "python", "repo": "TrendingTechnology/util", "path": "/src/python/zensols/persist/composite.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> self.brain.addSummaryScalar( input = 'Cost' ) self.brain.addSummaryHistogram( input = 'Target' ) self.brain.addWriter(name = 'Writer' , dir = '../' ) self.brain.addSummary( name = 'Summary' ) self.brain.initialize() # TRAIN NETWORK def train( self, prev_sta...
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{ "lang": "python", "repo": "raphaelsc19/Deep-RL-and-IL", "path": "/learning/players_reinforcement/player_dql_bayesian_2.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: raphaelsc19/Deep-RL-and-IL path: /learning/players_reinforcement/player_dql_bayesian_2.py from players_reinforcement.player import player from auxiliar.aux_plot import * import random from collections import deque import sys sys.path.append('..') import tensorblock as tb import numpy as np # ...
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{ "lang": "python", "repo": "raphaelsc19/Deep-RL-and-IL", "path": "/learning/players_reinforcement/player_dql_bayesian_2.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> self.brain.addOperation( function = tb.ops.sum_mul, input = ['Output', 'Actions'], name = 'Readout' ) self.brain.addOperation( function = tb.ops.mean_squared_error, input = ['Targe...
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{ "lang": "python", "repo": "raphaelsc19/Deep-RL-and-IL", "path": "/learning/players_reinforcement/player_dql_bayesian_2.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>.DetailView.as_view()), url(r'^visit/(?P<category_id>\d+)/',views.VisitView.as_view()), ]<|fim_prefix|># repo: Hyman-Yuan/meiduo_project path: /meiduo_mall/meiduo_mall/apps/goods/urls.py from django.conf.urls import url from . import views urlpatterns = [ # /list/115/1/ url(r'^list/(?P<categ...
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{ "lang": "python", "repo": "Hyman-Yuan/meiduo_project", "path": "/meiduo_mall/meiduo_mall/apps/goods/urls.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Hyman-Yuan/meiduo_project path: /meiduo_mall/meiduo_mall/apps/goods/urls.py from django.conf.urls import url from . import views urlpatterns = [ # /list/115/1/ ur<|fim_suffix|>.DetailView.as_view()), url(r'^visit/(?P<category_id>\d+)/',views.VisitView.as_view()), ]<|fim_middle|>l(r'^...
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{ "lang": "python", "repo": "Hyman-Yuan/meiduo_project", "path": "/meiduo_mall/meiduo_mall/apps/goods/urls.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: uelordi01/inference path: /v0.5/classification_and_detection/python/backend_dldt.py """ pytoch/caffe2 backend via onnx https://pytorch.org/docs/stable/onnx.html """ # pylint: disable=unused-argument,missing-docstring,useless-super-delegation from threading import Lock import os # needed to get ...
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{ "lang": "python", "repo": "uelordi01/inference", "path": "/v0.5/classification_and_detection/python/backend_dldt.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> # data = res[0][0][0] # for number, proposal in enumerate(data): # if proposal[2] > 0: # detection_classes.append(np.int(proposal[1])) # detection_num = detection_num + 1 # detection_threshold.append(proposal[2]) # ...
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{ "lang": "python", "repo": "uelordi01/inference", "path": "/v0.5/classification_and_detection/python/backend_dldt.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: theromis/mlpiper path: /mlcomp/parallelm/components/connected_component_info.py class ConnectedComponentInfo(object): """ Information about a connected component, which is needed in order to run the component, and provide information to child components. """ def __init__(self...
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{ "lang": "python", "repo": "theromis/mlpiper", "path": "/mlcomp/parallelm/components/connected_component_info.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def __str__(self): s = "Info:\n" s += "params: {}\n".format(self.params) s += "parents_obj: {}\n".format(self.parents_objs) s += "output_obj: {}\n".format(self.output_objs) return s<|fim_prefix|># repo: theromis/mlpiper path: /mlcomp/parallelm/componen...
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{ "lang": "python", "repo": "theromis/mlpiper", "path": "/mlcomp/parallelm/components/connected_component_info.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: isabella232/auth-6 path: /auth/blueprint.py import os from flask import Blueprint, request, url_for, session from flask import redirect from flask_jsonpify import jsonpify from .controllers import authenticate, authorize, update, oauth_callback, setup_oauth_apps, resolve_username, get_profile_b...
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{ "lang": "python", "repo": "isabella232/auth-6", "path": "/auth/blueprint.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> username = request.values.get('username') return jsonpify(get_profile_by_username_controller(username)) # Register routes blueprint.add_url_rule( 'check', 'check', check_, methods=['GET']) blueprint.add_url_rule( 'update', 'update', update_, methods=['POST']) ...
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{ "lang": "python", "repo": "isabella232/auth-6", "path": "/auth/blueprint.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> token = request.headers.get('auth-token') or request.values.get('jwt') next_url = request.args.get('next', 'http://example.com') return jsonpify(authenticate_controller(token, next_url, callback_url(), private_key)) def update_(): token = request.headers.get('auth-toke...
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{ "lang": "python", "repo": "isabella232/auth-6", "path": "/auth/blueprint.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>' : 'python', 'issues_data' : issues_data, }, }<|fim_prefix|># repo: marcinguy/checkmate path: /checkmate/contrib/plugins/python/pep8/setup.py from .analyzer import Pep8Analyzer from .issues_data import issues_data analyzers = { 'pep8' : { 'title' : <|fim_midd...
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{ "lang": "python", "repo": "marcinguy/checkmate", "path": "/checkmate/contrib/plugins/python/pep8/setup.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>'Pep-8', 'class' : Pep8Analyzer, 'language' : 'python', 'issues_data' : issues_data, }, }<|fim_prefix|># repo: marcinguy/checkmate path: /checkmate/contrib/plugins/python/pep8/setup.py from .analyzer import Pep8Analyzer from .issues_data import issues<|fim_midd...
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{ "lang": "python", "repo": "marcinguy/checkmate", "path": "/checkmate/contrib/plugins/python/pep8/setup.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: marcinguy/checkmate path: /checkmate/contrib/plugins/python/pep8/setup.py from .analyzer import Pep8Analyzer from .issues_data import issues_data analyzers = { 'pep8' : { 'title' : <|fim_suffix|>' : 'python', 'issues_data' : issues_data, }, }<|fim_midd...
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{ "lang": "python", "repo": "marcinguy/checkmate", "path": "/checkmate/contrib/plugins/python/pep8/setup.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ltoddy/leetcode path: /algorithms/reveal-cards-in-increasing-order.py class Solution: def deckRevealedIncreasing(self, deck): """ :type deck: List[int] :rtype: L<|fim_suffix|>dge[index + 1:] index += 1 if len(judge): index %= len...
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{ "lang": "python", "repo": "ltoddy/leetcode", "path": "/algorithms/reveal-cards-in-increasing-order.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>dge[index + 1:] index += 1 if len(judge): index %= len(judge) return res<|fim_prefix|># repo: ltoddy/leetcode path: /algorithms/reveal-cards-in-increasing-order.py class Solution: def deckRevealedIncreasing(self, deck): """ :type deck: L...
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{ "lang": "python", "repo": "ltoddy/leetcode", "path": "/algorithms/reveal-cards-in-increasing-order.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: kethan1/Data-Structures path: /Linked_List/linked_list_data_structure.py ''' --------------------------------------------- LinkedList - My version of the class List Author: Kethan Vegunta --------------------------------------------- Description: This is my version of the python list. It is a dou...
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{ "lang": "python", "repo": "kethan1/Data-Structures", "path": "/Linked_List/linked_list_data_structure.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if not isinstance(data, Node): return Node(data) return data def __toData(self, data): if isinstance(data, Node): return data.data return data ''' LinkedList supports item assignments: linkedlist_var[0] = 99 This updates the item's ...
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{ "lang": "python", "repo": "kethan1/Data-Structures", "path": "/Linked_List/linked_list_data_structure.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if pos > self.GetLength() or pos < 0 or self.GetLength() == 0: raise IndexError("delete index out of range") elif pos == 0: self.deleteAtBeginning() elif pos == self.GetLength(): self.deleteAtEnd() else: self.current = self.he...
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{ "lang": "python", "repo": "kethan1/Data-Structures", "path": "/Linked_List/linked_list_data_structure.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> with pytest.raises(ValueError): role_str = join_role('role', ['a', '*']) class TestRoles: def test_init(self): roles = Roles(ROLES_STR) assert ROLE_1_STR in roles assert ROLE_2_STR in roles assert ROLE_3_STR in roles assert 'fail' not in roles ...
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{ "lang": "python", "repo": "W-DEJONG/id-roles", "path": "/tests/test_roles.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: W-DEJONG/id-roles path: /tests/test_roles.py import pytest from id_roles.roles import Roles, split_role, join_role ROLE_1_STR = 'role_1:sub-role_1' ROLE_2_STR = 'role_2' ROLE_3_STR = 'role_3' ROLES_STR = 'role_1:sub-role_1[v1,v2] role_2[*] role_3' @pytest.fixture() def roles_obj(): return...
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{ "lang": "python", "repo": "W-DEJONG/id-roles", "path": "/tests/test_roles.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: iamshb/python_samples path: /crawling/urllib_parse_urljoin.py from urllib.parse import urljoin <|fim_suffix|>print(urljoin(baseUrl, 'b.html')) print(urljoin(baseUrl, '../index.html')) print(urljoin(baseUrl, '../img/image.jpg'))<|fim_middle|>baseUrl = 'http://test.com/html/a.html'
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{ "lang": "python", "repo": "iamshb/python_samples", "path": "/crawling/urllib_parse_urljoin.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>print(urljoin(baseUrl, 'b.html')) print(urljoin(baseUrl, '../index.html')) print(urljoin(baseUrl, '../img/image.jpg'))<|fim_prefix|># repo: iamshb/python_samples path: /crawling/urllib_parse_urljoin.py from urllib.parse import urljoin <|fim_middle|>baseUrl = 'http://test.com/html/a.html'
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{ "lang": "python", "repo": "iamshb/python_samples", "path": "/crawling/urllib_parse_urljoin.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: IgorQueiroz32/Data_Glacier path: /final_project/deploy_streamlit/deploy.py import pickle import numpy as np import streamlit as st from sklearn.preprocessing import robust_scale # loading the trained model pickle_in = open('model/model_classification.pkl', 'rb') classifier = pickle.load(p...
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{ "lang": "python", "repo": "IgorQueiroz32/Data_Glacier", "path": "/final_project/deploy_streamlit/deploy.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # defining Concom_Macrolides_And_Similar_Types Concom_Macrolides_And_Similar_Types = st.checkbox('Concom_Macrolides_And_Similar_Types') if Concom_Macrolides_And_Similar_Types: Concom_Macrolides_And_Similar_Types = 1 else: Concom_Macrolides_And_Similar_Types = 0 ...
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{ "lang": "python", "repo": "IgorQueiroz32/Data_Glacier", "path": "/final_project/deploy_streamlit/deploy.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Yuhan-Wg/massive-data-mining path: /python/test/recommender.py import unittest class TestRecommenderSystem(unittest.TestCase): def test_consistency_neighborhood_based_with_random_data(self): from datming.recommender import ItemBasedCF, UserBasedCF from pyspark import SparkCo...
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{ "lang": "python", "repo": "Yuhan-Wg/massive-data-mining", "path": "/python/test/recommender.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> result4 = ( ItemBasedCF(k=2, n_user_block=10, n_cross_block=10, n_item_block=10, maximum_num_partitions=10, threshold=0.01, n_bands=100, signature_length=200, seed=0) .fit_predict(train_data, test_data) ) self.assertLessEqual( ...
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{ "lang": "python", "repo": "Yuhan-Wg/massive-data-mining", "path": "/python/test/recommender.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: atulmkamble/100DaysOfCode path: /Day 8 - Caesar Cipher/caesar_cipher.py """ This program encodes/decodes text given to it as an input. It takes three arguments as an input: 1. Action: Encode/Decode 1. Text to be encoded/decoded 2. Shift value (The value by which the alphabets will be shifted) """...
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{ "lang": "python", "repo": "atulmkamble/100DaysOfCode", "path": "/Day 8 - Caesar Cipher/caesar_cipher.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Exit the program if user does not want to continue if response == 'no': go_again = False print('Thank you for using this program.') # Time Tracking End toc1 = perf_counter() toc2 = process_time() # Print execution time print('\nExecution Time Details:') print(f'Total execution ...
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{ "lang": "python", "repo": "atulmkamble/100DaysOfCode", "path": "/Day 8 - Caesar Cipher/caesar_cipher.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> @use_profile('postgres') def test_postgres_simple_seed(self): # first make sure nobody "fixed" the file by accident seed_path = os.path.join(self.config.data_paths[0], 'seed_bom.csv') # 'data-bom/seed_bom.csv' with open(seed_path, encoding='utf-8') as fp: ...
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{ "lang": "python", "repo": "better/dbt", "path": "/test/integration/005_simple_seed_test/test_simple_seed.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: better/dbt path: /test/integration/005_simple_seed_test/test_simple_seed.py import os from test.integration.base import DBTIntegrationTest, use_profile class TestSimpleSeed(DBTIntegrationTest): def setUp(self): DBTIntegrationTest.setUp(self) self.run_sql_file("seed.sql") ...
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{ "lang": "python", "repo": "better/dbt", "path": "/test/integration/005_simple_seed_test/test_simple_seed.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> @use_profile('postgres') def test_postgres_simple_seed_with_schema(self): schema_name = self.custom_schema_name() results = self.run_dbt(["seed"]) self.assertEqual(len(results), 1) self.assertTablesEqual("seed_actual","seed_expected", table_a_schema=schema_name) ...
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{ "lang": "python", "repo": "better/dbt", "path": "/test/integration/005_simple_seed_test/test_simple_seed.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: bloomdt-uw/pyAFQ path: /AFQ/tests/test_api.py files recognized by pyBIDS" + " in the pipeline: missingPipe"): api.AFQ(bids_path, dmriprep="missingPipe") @pytest.mark.nightly_custom def test_AFQ_custom_tract(): """ Test whether AFQ can use tractography from custom...
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{ "lang": "python", "repo": "bloomdt-uw/pyAFQ", "path": "/AFQ/tests/test_api.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|> # Requires large download @pytest.mark.nightly def test_AFQ_FA(): """ Test if API can run registeration with FA """ _, bids_path, _ = get_temp_hardi() myafq = api.AFQ( bids_path=bids_path, dmriprep='vistasoft', reg_template='dti_fa_template', reg_subjec...
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{ "lang": "python", "repo": "bloomdt-uw/pyAFQ", "path": "/AFQ/tests/test_api.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: bloomdt-uw/pyAFQ path: /AFQ/tests/test_api.py data = np.ones((10, 10, 10, 6)) bvecs = np.vstack([np.eye(3), np.eye(3)]) bvecs[0] = 0 bvals = np.ones(6) * 1000. bvals[0] = 0 if session is None: data_dir = subject else: data_dir = op.join(subject, session) ...
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{ "lang": "python", "repo": "bloomdt-uw/pyAFQ", "path": "/AFQ/tests/test_api.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|>def ll_shrink_final(ll_builder): final_size = ll_builder.current_pos ll_assert(final_size <= ll_builder.total_size, "final_size > ll_builder.total_size?") buf = rgc.ll_shrink_array(ll_builder.current_buf, final_size) ll_builder.current_buf = buf ll_builder.current_end = f...
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{ "lang": "python", "repo": "mesalock-linux/mesapy", "path": "/rpython/rtyper/lltypesystem/rbuilder.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: mesalock-linux/mesapy path: /rpython/rtyper/lltypesystem/rbuilder.py gBuilderRepr from rpython.tool.sourcetools import func_with_new_name from rpython.rtyper.annlowlevel import llstr, llunicode # ------------------------------------------------------------ # Basic idea: # # - A StringBuilder h...
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{ "lang": "python", "repo": "mesalock-linux/mesapy", "path": "/rpython/rtyper/lltypesystem/rbuilder.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: mesalock-linux/mesapy path: /rpython/rtyper/lltypesystem/rbuilder.py r_repr, string_repr, unichar_repr, unicode_repr) from rpython.rtyper.rbuilder import AbstractStringBuilderRepr from rpython.tool.sourcetools import func_with_new_name from rpython.rtyper.annlowlevel import llstr, llunicode ...
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{ "lang": "python", "repo": "mesalock-linux/mesapy", "path": "/rpython/rtyper/lltypesystem/rbuilder.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> def test_private_key_set(): """Test private key is set""" loop = asyncio.get_event_loop() with aioresponses() as m: m.post('https://api.idex.market/returnNextNonce', payload=nonce_res, status=200) m.post('https://api.idex.market/cancel', payload=json_res, status=200) ...
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{ "lang": "python", "repo": "driscollco/python-idex", "path": "/asynctests/test_private_key_exception.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> loop = asyncio.get_event_loop() with aioresponses() as m: m.post('https://api.idex.market/returnNextNonce', payload=nonce_res, status=200) m.post('https://api.idex.market/cancel', payload=json_res, status=200) async def _run_test(): client = await AsyncClient.c...
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{ "lang": "python", "repo": "driscollco/python-idex", "path": "/asynctests/test_private_key_exception.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: driscollco/python-idex path: /asynctests/test_private_key_exception.py #!/usr/bin/env python # coding=utf-8 import asyncio import pytest from aioresponses import aioresponses from idex.asyncio import AsyncClient from idex.exceptions import IdexException, IdexPrivateKeyNotFoundException json_res...
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{ "lang": "python", "repo": "driscollco/python-idex", "path": "/asynctests/test_private_key_exception.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: lakshyarawal/pythonPractice path: /Binary Search Tree/top_view.py """Traversing and printing all nodes from a Top View in a Binary Tree """ from collections import deque from sortedcollections import SortedDict class Node: def __init__(self, val): self.key = val self.left = ...
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{ "lang": "python", "repo": "lakshyarawal/pythonPractice", "path": "/Binary Search Tree/top_view.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> q1 = deque() if root_n is not None: q1.append([root_n, 0]) while len(q1) > 0: curr_size = len(q1) i = 0 while i < curr_size: cur_node, j = q1.popleft() if j not in sum_map.keys(): sum_map[j] = [cur_node.key] if...
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medium
{ "lang": "python", "repo": "lakshyarawal/pythonPractice", "path": "/Binary Search Tree/top_view.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: dimagi/commcare-hq path: /corehq/apps/reports/formdetails/readable.py import re from copy import deepcopy from pydoc import html from django.http import Http404 from django.utils.safestring import mark_safe from django.utils.translation import gettext_lazy as _ from couchdbkit import ResourceNo...
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hard
{ "lang": "python", "repo": "dimagi/commcare-hq", "path": "/corehq/apps/reports/formdetails/readable.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> def absolute_path_from_context(path, path_context): assert path_context.endswith('/') if path.startswith('/'): return path else: return path_context + path def _html_interpolate_output_refs(itext_value, context): if hasattr(itext_value, 'with_refs'): underline_te...
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hard
{ "lang": "python", "repo": "dimagi/commcare-hq", "path": "/corehq/apps/reports/formdetails/readable.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: hellc/elasticsearch-fias path: /fiases/house_upd.py #! /usr/bin/env python # -*- coding: utf-8 -*- from tqdm import trange, tqdm from xml.dom import pulldom from lxml import etree from xml.dom.pulldom import parse from elasticsearch.helpers import parallel_bulk # Local modules: from fiases.fias_...
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{ "lang": "python", "repo": "hellc/elasticsearch-fias", "path": "/fiases/house_upd.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> else: for ok, info in parallel_bulk(fiases.fias_data.ES, updateIndex(), raise_on_error=False, raise_on_exception=False): # ADDR_CNT = ADDR_CNT + 1 if (not ok): print(ok, info) ...
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hard
{ "lang": "python", "repo": "hellc/elasticsearch-fias", "path": "/fiases/house_upd.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # ADDR_CNT = 0 if IS_DEBUG: for ok, info in tqdm(parallel_bulk(fiases.fias_data.ES, updateIndex(), raise_on_error=False, raise_on_exception=False), unit=' house', ...
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hard
{ "lang": "python", "repo": "hellc/elasticsearch-fias", "path": "/fiases/house_upd.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: cessor/substitute path: /test/test_verify_calls_with_keyword_arguments.py from nose.tools import * from substitute import * from substitute.complaint import * expect_that = assert_true # arg = Argument # kwarg = Keyword Argument # kwargs by names & values def test_expect_received_kwarg...
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hard
{ "lang": "python", "repo": "cessor/substitute", "path": "/test/test_verify_calls_with_keyword_arguments.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> '''Substitute - Verify (kwargs): Method was called without any kwargs (type)''' component = Substitute() component.method('Joseph') expect_that(component.method.received_any(name=str)) @raises(MissingKeywordArgumentComplaint) def test_expect_received_wrong_kwarg_type_fails_2(): ...
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{ "lang": "python", "repo": "cessor/substitute", "path": "/test/test_verify_calls_with_keyword_arguments.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }