text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>
@pytest.mark.xfail(iteration_utilities.EQ_PY2,
reason='pickle does not work on Python 2')
@memory_leak_decorator(offset=1)
def test_roundrobin_pickle2():
rr2 = roundrobin([T(1)], [T(1), T(2), T(3)])
assert next(rr2) == T(1)
assert next(rr2) == T(1)
assert next(rr2) == T... | code_fim | hard | {
"lang": "python",
"repo": "sollyucko/iteration_utilities",
"path": "/tests/test_roundrobin.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with pytest.raises(_hf.FailIter.EXC_TYP) as exc:
roundrobin([T(1)], _hf.FailIter())
assert _hf.FailIter.EXC_MSG in str(exc)
@memory_leak_decorator(collect=True)
def test_roundrobin_failure3():
# Test that a failing iterator doesn't raise a SystemError
with pytest.raises(_hf.FailN... | code_fim | hard | {
"lang": "python",
"repo": "sollyucko/iteration_utilities",
"path": "/tests/test_roundrobin.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sollyucko/iteration_utilities path: /tests/test_roundrobin.py
# Licensed under Apache License Version 2.0 - see LICENSE
# Built-ins
from __future__ import absolute_import, division, print_function
import itertools
import operator
import pickle
import sys
# 3rd party
import pytest
# This module... | code_fim | hard | {
"lang": "python",
"repo": "sollyucko/iteration_utilities",
"path": "/tests/test_roundrobin.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> regex = "\?$"
if not re.search(regex, text, re.I):
return
reply = random.choice(self.replies)
event.raw.nreply(reply.upper())
return 'NO MORE'<|fim_prefix|># repo: pteichman/kibot-modules path: /kibot/modules/eightball.py
import kibot.BaseModule
impo... | code_fim | hard | {
"lang": "python",
"repo": "pteichman/kibot-modules",
"path": "/kibot/modules/eightball.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pteichman/kibot-modules path: /kibot/modules/eightball.py
import kibot.BaseModule
import random
import re
class eightball(kibot.BaseModule.BaseModule):
"""Magic 8-Ball"""
def __init__(self, bot):
self.affirmative = [
"As I see it, yes",
"It is certain",
... | code_fim | hard | {
"lang": "python",
"repo": "pteichman/kibot-modules",
"path": "/kibot/modules/eightball.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fimion/pydak path: /examples/dakexample.py
from daktronics import DakUDP, Daktronics
if __name__ == '__main__':
print("UDP MULTICAST 21000")
dak_data = DakUDP(21000)
da<|fim_suffix|>-------------------")
print(dak['Main Clock Time (mm:ss/ss.t )'])
print(dak['Home Team... | code_fim | medium | {
"lang": "python",
"repo": "fimion/pydak",
"path": "/examples/dakexample.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(dak['Guest Team Name'], dak['Guest Team Score'])
print("--------------------------------------------------------------")<|fim_prefix|># repo: fimion/pydak path: /examples/dakexample.py
from daktronics import DakUDP, Daktronics
if __name__ == '__main__':
print("UDP MULTICAST 21000"... | code_fim | hard | {
"lang": "python",
"repo": "fimion/pydak",
"path": "/examples/dakexample.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if '__main__' == __name__:
channel = 1
i2cIface = i2c.I2CIface(channel)
temperature = [
(0x5a, mlx90614.MLX90614(i2cIface, 'reactive1_temperature', 0x5a)),
(0x5b, mlx90614.MLX90614(i2cIface, 'reactive1_temperature', 0x5b)),
(0x5c, mlx90614.MLX90614(i2cIface, 'reactive1_temperature', 0x5c))]
whil... | code_fim | medium | {
"lang": "python",
"repo": "en-medina/RPI_REACTOR_CSTR_TOG",
"path": "/app/_test/i2c_temperature_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: en-medina/RPI_REACTOR_CSTR_TOG path: /app/_test/i2c_temperature_test.py
import importlib.util
from time import sleep
spec = importlib.util.spec_from_file_location("i2c", "../i2c_service/i2c.py")
i2c = importlib.util.module_from_spec(spec)
spec.loader.exec_module(i2c)
<|fim_suffix|>if '__main__' ... | code_fim | medium | {
"lang": "python",
"repo": "en-medina/RPI_REACTOR_CSTR_TOG",
"path": "/app/_test/i2c_temperature_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if cell['cell_type'] == 'code':
markdownResult += '\n```'
debugPrint(markdownResult)
markdownResult += '\n\n'
return markdownResult
if __name__ == "__main__":
parser = ArgumentParser(description="Jupyter Notebook to Markdown Converter (v{})".format(VERSION))... | code_fim | hard | {
"lang": "python",
"repo": "mdailous/jupyter2markdown",
"path": "/jn2md.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mdailous/jupyter2markdown path: /jn2md.py
#!/usr/local/bin/env python3
"""Jupyter Notebook to Markdown Converter.
Converts Jupyter notebooks to markdown format. The resulting markdown file is saved in the same directory with the same base name as the Jupyter Notebook.
Copyright 2021 Michae... | code_fim | hard | {
"lang": "python",
"repo": "mdailous/jupyter2markdown",
"path": "/jn2md.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
parser = ArgumentParser(description="Jupyter Notebook to Markdown Converter (v{})".format(VERSION))
parser.add_argument('notebookFile', metavar='NOTEBOOK', help='The Jupyter Notebook to convert. Specify the full path if the file is not in the current directory')
p... | code_fim | hard | {
"lang": "python",
"repo": "mdailous/jupyter2markdown",
"path": "/jn2md.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tengyu-liu/Part-GPNN path: /src/python/datasets/HICO/roi_feature_model.py
"""
Created on Feb 26, 2018
@author: Siyuan Qi
Description of the file.
"""
import os
import random
import copy
import numpy as np
import scipy.misc
import imageio
import torch
import torchvision
import cv2
import scip... | code_fim | hard | {
"lang": "python",
"repo": "tengyu-liu/Part-GPNN",
"path": "/src/python/datasets/HICO/roi_feature_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Vgg16(torch.nn.Module):
def __init__(self, num_classes=1000):
super(Vgg16, self).__init__()
self.features = torchvision.models.vgg16(pretrained=True).features
self.classifier = torch.nn.Sequential(
torch.nn.Linear(512 * 7 * 7, 4096),
torch.nn.ReLU... | code_fim | hard | {
"lang": "python",
"repo": "tengyu-liu/Part-GPNN",
"path": "/src/python/datasets/HICO/roi_feature_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for m in self.modules():
if isinstance(m, torch.nn.BatchNorm2d):
m.weight.data.fill_(1)
m.bias.data.zero_()
elif isinstance(m, torch.nn.Linear):
m.weight.data.normal_(0, 0.01)
m.bias.data.zero_()
class Resnet... | code_fim | hard | {
"lang": "python",
"repo": "tengyu-liu/Part-GPNN",
"path": "/src/python/datasets/HICO/roi_feature_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tornadoyi/gymgame path: /gymgame/tinyrpg/framework/render.py
import numpy as np
from easydict import EasyDict as edict
from bokeh.plotting import figure, curdoc
from bokeh.layouts import gridplot
from gymgame.tinyrpg.framework import config
import colorsys
import warnings
from gymgame import fram... | code_fim | hard | {
"lang": "python",
"repo": "tornadoyi/gymgame",
"path": "/gymgame/tinyrpg/framework/render.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class PlayerRenderer(CharacterRenderer):
def _get_characters(self): return self.game.map.players
class BulletRenderer(ObjectRenderer):
def initialize(self, *args, **kwargs):
super(BulletRenderer, self).initialize(*args, **kwargs)
bullet_num = len(self.game.map.bullets)
... | code_fim | hard | {
"lang": "python",
"repo": "tornadoyi/gymgame",
"path": "/gymgame/tinyrpg/framework/render.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chetan-rns/ML-LAB path: /prog/9.py
from sklearn.datasets import load_iris
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
iris_dataset=load_iris()
X_train, X_test, y_train, y_test = train_test_spli... | code_fim | medium | {
"lang": "python",
"repo": "chetan-rns/ML-LAB",
"path": "/prog/9.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>classifier = KNeighborsClassifier(n_neighbors = 5)
classifier.fit(X_train, y_train)
y_pred = classifier.predict(X_test)
print(accuracy_score(y_test, y_pred))<|fim_prefix|># repo: chetan-rns/ML-LAB path: /prog/9.py
from sklearn.datasets import load_iris
from sklearn.metrics import accuracy_score
from skl... | code_fim | medium | {
"lang": "python",
"repo": "chetan-rns/ML-LAB",
"path": "/prog/9.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>y_pred = classifier.predict(X_test)
print(accuracy_score(y_test, y_pred))<|fim_prefix|># repo: chetan-rns/ML-LAB path: /prog/9.py
from sklearn.datasets import load_iris
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighbors... | code_fim | hard | {
"lang": "python",
"repo": "chetan-rns/ML-LAB",
"path": "/prog/9.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for _ in range(tcs):
exp=input()
print(minReverse(exp))<|fim_prefix|># repo: LetsUpgrade/Algorithmic-Treasure path: /AfraMP/CountReversal/CountReversal.py
def minReverse(exp):
if len(exp)%2!=0:
return -1
c=0
op=0
for e in exp:
if e=='}' and op==0:
... | code_fim | medium | {
"lang": "python",
"repo": "LetsUpgrade/Algorithmic-Treasure",
"path": "/AfraMP/CountReversal/CountReversal.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LetsUpgrade/Algorithmic-Treasure path: /AfraMP/CountReversal/CountReversal.py
def minReverse(exp):
if len(exp)%2!=0:
return -1
c=0
op=0
for e in exp:
if e=='}' and op==0:
op=1
c+=1
elif e=='}':
op-=1
else:
... | code_fim | medium | {
"lang": "python",
"repo": "LetsUpgrade/Algorithmic-Treasure",
"path": "/AfraMP/CountReversal/CountReversal.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
tcs=int(input())
for _ in range(tcs):
exp=input()
print(minReverse(exp))<|fim_prefix|># repo: LetsUpgrade/Algorithmic-Treasure path: /AfraMP/CountReversal/CountReversal.py
def minReverse(exp):
if len(exp)%2!=0:
return -1
c=0
op=0
... | code_fim | medium | {
"lang": "python",
"repo": "LetsUpgrade/Algorithmic-Treasure",
"path": "/AfraMP/CountReversal/CountReversal.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ),
),
(
"net_artif",
models.DecimalField(
blank=True,
decimal_places=4,
max_digits=15,
null=True,
ve... | code_fim | hard | {
"lang": "python",
"repo": "MTES-MCT/sparte",
"path": "/public_data/migrations/0055_communediff.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>e="Nouvelle année",
),
),
(
"new_artif",
models.DecimalField(
blank=True,
decimal_places=4,
max_digits=15,
null=True,
... | code_fim | hard | {
"lang": "python",
"repo": "MTES-MCT/sparte",
"path": "/public_data/migrations/0055_communediff.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MTES-MCT/sparte path: /public_data/migrations/0055_communediff.py
# Generated by Django 3.2.13 on 2022-05-10 12:26
import django.core.validators
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("publi... | code_fim | hard | {
"lang": "python",
"repo": "MTES-MCT/sparte",
"path": "/public_data/migrations/0055_communediff.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: exzhawk/dl_rename_byrj path: /offline2db.py
# -*- encoding: utf-8 -*-
# Author: Epix
import codecs
import os
import pickle
import re
from lxml import etree
if __name__ == '__main__':
rj_re = re.compile(r'/(RJ\d*)\.html')
offline_dir = 'offline'
files = os.listdir(offline_dir)
re... | code_fim | medium | {
"lang": "python",
"repo": "exzhawk/dl_rename_byrj",
"path": "/offline2db.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # with codecs.open('rj.jl', 'w', 'utf8') as f_out:
# for p in result:
# f_out.write(json.dumps(p, ensure_ascii=False) + '\n')<|fim_prefix|># repo: exzhawk/dl_rename_byrj path: /offline2db.py
# -*- encoding: utf-8 -*-
# Author: Epix
import codecs
import os
import pickle
import re
... | code_fim | medium | {
"lang": "python",
"repo": "exzhawk/dl_rename_byrj",
"path": "/offline2db.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if msrp is None:
msrp = response.css(
"div#price span.priceBlockStrikePriceString::text").get()
sale_price = response.css(
"div#price span#priceblock_pospromoprice::text").get()
yield {
"product_name": response.css... | code_fim | hard | {
"lang": "python",
"repo": "hannahfolk/hearful_spider",
"path": "/hearful_spider/spiders/product_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hannahfolk/hearful_spider path: /hearful_spider/spiders/product_data.py
import scrapy
class ProductDataSpider(scrapy.Spider):
""" This spider scrapes the GoPro Fusion Waterproof Digital Spherical Amazon page for pertinent product information. """
name = "product_data"
custom_setting... | code_fim | hard | {
"lang": "python",
"repo": "hannahfolk/hearful_spider",
"path": "/hearful_spider/spiders/product_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xiangyann/SDCND-Semantic-Segmentation path: /helper.py
'''
You should not edit helper.py as part of your submission.
This file is used primarily to download vgg if it has not yet been,
give you the progress of the download, get batches for your training,
as well as around generating and saving t... | code_fim | hard | {
"lang": "python",
"repo": "xiangyann/SDCND-Semantic-Segmentation",
"path": "/helper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Generate test output using the test images
:param sess: TF session
:param logits: TF Tensor for the logits
:param keep_prob: TF Placeholder for the dropout keep probability
:param image_pl: TF Placeholder for the image placeholder
:param data_folder: Path to the folder that contains the data... | code_fim | hard | {
"lang": "python",
"repo": "xiangyann/SDCND-Semantic-Segmentation",
"path": "/helper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: imayuyu/KALMUS path: /kalmus/tkinter_windows/time_points_windows/DisplaySavedFramesWindow.py
""" DisplaySavedFramesWindow Class """
import tkinter
from kalmus.tkinter_windows.gui_utils import resource_path
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import (FigureCanv... | code_fim | hard | {
"lang": "python",
"repo": "imayuyu/KALMUS",
"path": "/kalmus/tkinter_windows/time_points_windows/DisplaySavedFramesWindow.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.barcode = barcode
# Initialize the window
self.window = tkinter.Tk()
self.window.wm_title("Display frames")
self.window.iconbitmap(resource_path("kalmus_icon.ico"))
# Set up the plotted figure
self.fig = plt.figure(figsize=figsize, dpi=dpi)
... | code_fim | hard | {
"lang": "python",
"repo": "imayuyu/KALMUS",
"path": "/kalmus/tkinter_windows/time_points_windows/DisplaySavedFramesWindow.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SMISC/logging path: /provision/src/service/backup.py
import logging
import base64
import time
from model import Model
class BackupService(Model):
<|fim_suffix|> self.db.execute('insert into backups ("table", timestamp, ref_start, ref_end, glacier_id) values (%s, %s, %s, %s, %s)', (table,... | code_fim | hard | {
"lang": "python",
"repo": "SMISC/logging",
"path": "/provision/src/service/backup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.db.execute('insert into backups ("table", timestamp, ref_start, ref_end, glacier_id) values (%s, %s, %s, %s, %s)', (table, timestamp, ref_start, ref_end, glacier_id))<|fim_prefix|># repo: SMISC/logging path: /provision/src/service/backup.py
import logging
import base64
import time
from mode... | code_fim | hard | {
"lang": "python",
"repo": "SMISC/logging",
"path": "/provision/src/service/backup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JaronrH/RF path: /RF/app/application.py
from components import featureBroker
from commands import *
import sys
import time
from components.daemon import Daemon
import os
import json
import logging.config
from ConfigParser import SafeConfigParser
from flask import Flask
from controllers import *
... | code_fim | hard | {
"lang": "python",
"repo": "JaronrH/RF",
"path": "/RF/app/application.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Set secret Key
app.web.secret_key = 'A0ew:DE~7/T6yA^8vqNgjVB5tZr98j/3yX R~XHH!jmew:DE~7/T6yA^8vqNgjVB5tN]LWX/,?RT'
# Flask-SQLAlchemy
app.web.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///'+featureBroker.RequiredFeature('conf_DB').result['rf']
app.db = SQLAlchem... | code_fim | hard | {
"lang": "python",
"repo": "JaronrH/RF",
"path": "/RF/app/application.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ynasida/KazooCommission path: /kazoocommission/controllers.py
from flask import abort, Flask, make_response, render_template, request
from functools import wraps
from jinja2.exceptions import TemplateNotFound
from kazoocommission import config
from kazoocommission.services import KazooAccountServ... | code_fim | hard | {
"lang": "python",
"repo": "ynasida/KazooCommission",
"path": "/kazoocommission/controllers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not config.DISABLE_SSL_CLIENT_SUBJECT_VALIDATION:
ssl_subject = request.headers.get('X-SSL-Subject')
if not ssl_subject:
abort(403)
if not kwargs['mac_address'] in ssl_subject:
abort(403)
return fn(*args, **kwargs)
... | code_fim | hard | {
"lang": "python",
"repo": "ynasida/KazooCommission",
"path": "/kazoocommission/controllers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TeddTech/NLP_Firm_Prediction path: /src/scripts/create_financial_features_script.py
#!/usr/bin/python
"""
Creates differences in each year within a specified column in labeled the subset compustat data
Sample usage from terminal:
```
python create_financial_featur... | code_fim | hard | {
"lang": "python",
"repo": "TeddTech/NLP_Firm_Prediction",
"path": "/src/scripts/create_financial_features_script.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Read in all necessary files for creating features:
if args['toDifference']:
logger.info("Reading in toDifference file at: {}".format(args['toDifference']))
with open(args['toDifference'], "r") as f:
args['toDifference'] = f.read()
args['toDifference'] = args['... | code_fim | hard | {
"lang": "python",
"repo": "TeddTech/NLP_Firm_Prediction",
"path": "/src/scripts/create_financial_features_script.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
========
C:\D\Exercise\helloworld\python\Qt>40.3_1Layer_decorator.py
calling time : 1609127072.3361893
running function1
calling time : 1609127072.3370233
running function2
'''<|fim_prefix|># repo: seekindark/helloworld path: /python/py-study/40.3_1Layer_decorator.py
#coding=UTF-8
import tim... | code_fim | hard | {
"lang": "python",
"repo": "seekindark/helloworld",
"path": "/python/py-study/40.3_1Layer_decorator.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
'''
这样的修饰函数，当碰到@，是可以直接运行的， 其实是直接执行了修饰函数
1. showTime(funciton1)
2. showTime(function2)
这样的写法是不满足要求的，没有起到修饰的作用。
修饰函数的作用是用来 辅助增加LOG，或是查问题时，写一个调式函数作为 目标函数的 修饰函数， 这样所有的目标函数被调用时可以 运行修饰函数，以达到调式的目的
========
C:\D\Exercise\helloworld\python\Qt>40.3_1Layer_decorator.py
calling time : 1609127072.3361... | code_fim | medium | {
"lang": "python",
"repo": "seekindark/helloworld",
"path": "/python/py-study/40.3_1Layer_decorator.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: seekindark/helloworld path: /python/py-study/40.3_1Layer_decorator.py
#coding=UTF-8
import time
def showTime(fn):
print('calling time : ', time.time())
fn() #调用传入的参数
@showTime
def function1():
print('running function1 ')
@showTime
def function2():
print('running fu... | code_fim | hard | {
"lang": "python",
"repo": "seekindark/helloworld",
"path": "/python/py-study/40.3_1Layer_decorator.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>nductivity",
mobility * electron_conc * ELECTRON_CHARGE,
)
elif electron_conc == 0:
return (
"electron_conc",
conductivity / (mobility * ELECTRON_CHARGE),
)
else:
return (
"mobility",
conductivity / (electr... | code_fim | hard | {
"lang": "python",
"repo": "TheAlgorithms/Python",
"path": "/electronics/electric_conductivity.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheAlgorithms/Python path: /electronics/electric_conductivity.py
from __future__ import annotations
ELECTRON_CHARGE = 1.6021e-19 # units = C
def electric_conductivity(
conductivity: float,
electron_conc: float,
mobility: float,
) -> tuple[str, float]:
"""
This function can... | code_fim | hard | {
"lang": "python",
"repo": "TheAlgorithms/Python",
"path": "/electronics/electric_conductivity.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hapygallagher/diesel path: /diesel/client.py
# vim:ts=4:sw=4:expandtab
import errno
from diesel import log
import ipdb
import socket
class Client(object):
'''An agent that connects to an external host and provides an API to
return data based on a protocol across that host.
'''
de... | code_fim | hard | {
"lang": "python",
"repo": "hapygallagher/diesel",
"path": "/diesel/client.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _resolve(self, addr):
return addr
class remote_addr(object):
def __get__(self, inst, other):
return (inst.addr, inst.port)
def __set__(self, inst, value):
inst.addr, inst.port = value
remote_addr = remote_addr()
class UDPConnectionClient(U... | code_fim | hard | {
"lang": "python",
"repo": "hapygallagher/diesel",
"path": "/diesel/client.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> def eval_expression(self, input_string, image_author, image_name, image_tag):
allowed_names = {"format": format, "image_author": image_author,
"image_name": image_name,
"image_tag": image_tag}
code = compile(input_string, "<string>", "e... | code_fim | hard | {
"lang": "python",
"repo": "epleterte/docker-multiscan",
"path": "/scanner_plugin.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: epleterte/docker-multiscan path: /scanner_plugin.py
import json
import os
import re
import subprocess
import datetime
import pandas as pd
import requests
from nvd_cache import NvdCache
import logging
def safe_get_key(dict, key):
if key in dict:
return dict[key]
else:
ret... | code_fim | hard | {
"lang": "python",
"repo": "epleterte/docker-multiscan",
"path": "/scanner_plugin.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: commonlims/commonlims path: /src/clims/api/serializers/models/workunit.py
from __future__ import absolute_import
from rest_framework import serializers
from clims.api.serializers.models.substance import SubstanceSerializer
<|fim_suffix|> def get_tracked_object(self, obj):
return Subs... | code_fim | hard | {
"lang": "python",
"repo": "commonlims/commonlims",
"path": "/src/clims/api/serializers/models/workunit.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_tracked_object(self, obj):
return SubstanceSerializer(obj.tracked_object).data<|fim_prefix|># repo: commonlims/commonlims path: /src/clims/api/serializers/models/workunit.py
from __future__ import absolute_import
from rest_framework import serializers
from clims.api.serializers.model... | code_fim | hard | {
"lang": "python",
"repo": "commonlims/commonlims",
"path": "/src/clims/api/serializers/models/workunit.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MikeFez/BrowserWrapper path: /BrowserWrapper/browserwrapper.py
url} contains {url_portion} within {timeout} seconds")
except SeleniumExceptions.TimeoutException:
self.log_warning(f"Browser.waitForURLToContain: {self.CORE.current_url} does not contain {url_portion} after {timeo... | code_fim | hard | {
"lang": "python",
"repo": "MikeFez/BrowserWrapper",
"path": "/BrowserWrapper/browserwrapper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MikeFez/BrowserWrapper path: /BrowserWrapper/browserwrapper.py
t} seconds")
return True
except SeleniumExceptions.TimeoutException:
self.log_warning(f"Browser.waitForElementNotPresent: {element_tuple} did not become not present after {timeout} seconds")
... | code_fim | hard | {
"lang": "python",
"repo": "MikeFez/BrowserWrapper",
"path": "/BrowserWrapper/browserwrapper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def setText(self, element_tuple, text):
"""Clear an element, then sends keys to it. Typically used for form inputs.
Arguments:
element_tuple {PageObject Element} -- Tuple representation of element typically defined on PageObjects used for locating the element.
... | code_fim | hard | {
"lang": "python",
"repo": "MikeFez/BrowserWrapper",
"path": "/BrowserWrapper/browserwrapper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sporteasy/python-facebook path: /python_facebook/sdk/http/graph_raw_response.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import re
from requests.structures import CaseInsensitiveDict
class GraphRawResponse(object):
def __init__(self, headers, body, http_status_code... | code_fim | hard | {
"lang": "python",
"repo": "sporteasy/python-facebook",
"path": "/python_facebook/sdk/http/graph_raw_response.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_http_response_code(self):
return self.http_response_code
def set_http_response_code_from_header(self, raw_response_header):
# ex: HTTP/1.1 200 OK
pattern = r'^HTTP/\d\.\d\s+(\d+)\s+.*'
result = re.match(pattern, raw_response_header)
self.http_respo... | code_fim | hard | {
"lang": "python",
"repo": "sporteasy/python-facebook",
"path": "/python_facebook/sdk/http/graph_raw_response.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ews import (
tickets_admin_batch_view,
tickets_admin_batches_view,
tickets_admin_menu_items,
tickets_admin_order_view,
tickets_admin_orders_view,
tickets_admin_stats_by_date_view,
tickets_admin_stats_view,
tickets_admin_tools_view,
)<|fim_prefix|># repo: wyrmiyu/kompassi p... | code_fim | medium | {
"lang": "python",
"repo": "wyrmiyu/kompassi",
"path": "/tickets/views/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wyrmiyu/kompassi path: /tickets/views/__init__.py
# encoding: utf-8
from .public_views import (
ALL_PHASES,
tickets_address_view,
tickets_closed_view,
tickets_confirm_view,
tickets_thanks_view,
tickets_tickets_view,
tickets_welcome_view,
tickets_event_box_context,... | code_fim | medium | {
"lang": "python",
"repo": "wyrmiyu/kompassi",
"path": "/tickets/views/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
mp.set_start_method("spawn", force=True)
args = get_parser().parse_args()
logger = setup_logger()
logger.info("Arguments: " + str(args))
cfg = setup_cfg(args)
#inference_model = VisualizationDemo(cfg)
inference_model = Visualizationinference_model(... | code_fim | hard | {
"lang": "python",
"repo": "SyedShaQutub/Mask_RCNN-Detectron2",
"path": "/inference/inference_trainedModel.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SyedShaQutub/Mask_RCNN-Detectron2 path: /inference/inference_trainedModel.py
import argparse
import glob
import multiprocessing as mp
from collections import deque
import cv2
import torch
import time
import tqdm
import torch.multiprocessing as mp
from detectron2.modeling import build_model
from ... | code_fim | hard | {
"lang": "python",
"repo": "SyedShaQutub/Mask_RCNN-Detectron2",
"path": "/inference/inference_trainedModel.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Args:
image (np.ndarray): an image of shape (H, W, C) (in BGR order).
This is the format used by OpenCV.
Returns:
predictions (dict): the output of the model.
vis_output (VisImage): the visualized image output.
"""
... | code_fim | hard | {
"lang": "python",
"repo": "SyedShaQutub/Mask_RCNN-Detectron2",
"path": "/inference/inference_trainedModel.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WikiCommunityHealth/user-metrics path: /main.py
import bz2
import math
import pymongo
from pymongo import MongoClient, UpdateOne
from collections import Counter
from sys import argv
from joblib import Parallel, delayed
import multiprocessing
from utils import scraper
from utils.dump import KEY... | code_fim | hard | {
"lang": "python",
"repo": "WikiCommunityHealth/user-metrics",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def update_db(year: str, month: str):
log(f'Uploading {year}/{month}')
user_updates = []
inserts = []
updates = []
alters = []
def calc_entropy(counter: Counter, count: int) -> float:
values = counter.values()
sum_of_numbers = s... | code_fim | hard | {
"lang": "python",
"repo": "WikiCommunityHealth/user-metrics",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LucidtechAI/las-cli path: /lascli/util.py
import collections
import contextlib
import json
from pathlib import Path
class NotProvided:
pass
def nullable(_type=str):
def _nullable(value):
if isinstance(value, str) and value == 'null':
return None
return _typ... | code_fim | medium | {
"lang": "python",
"repo": "LucidtechAI/las-cli",
"path": "/lascli/util.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def capture_return(dest: list):
def inner(f):
@contextlib.wraps(f)
def wrapper(*args, **kwargs):
nonlocal dest
val = f(*args, **kwargs)
dest += val if isinstance(val, (list, tuple)) else [val]
return val
return wrapper
ret... | code_fim | hard | {
"lang": "python",
"repo": "LucidtechAI/las-cli",
"path": "/lascli/util.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def json_or_json_path(value):
if not value:
return
try:
return json.loads(value)
except json.JSONDecodeError:
pass
try:
return json.loads(Path(value).read_text())
except (json.JSONDecodeError, FileNotFoundError):
pass
raise Exception('Coul... | code_fim | hard | {
"lang": "python",
"repo": "LucidtechAI/las-cli",
"path": "/lascli/util.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: simone-mangiante/bugs-project path: /api-server/app/main.py
from fastapi import FastAPI, Request, HTTPException
from fastapi.templating import Jinja2Templates
from pydantic import BaseModel
from typing import List
import time
import os
import redis
import json
# model for bug creation from users... | code_fim | hard | {
"lang": "python",
"repo": "simone-mangiante/bugs-project",
"path": "/api-server/app/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # put the bug object in Redis
if not redis_client.set(bug.id, json.dumps(bug.dict())):
raise HTTPException(status_code=500, detail="Database not available")
# create the response
response = OutputPost(bug_id=bug.id)
if BUGS_ENV and BUGS_ENV == 'dev':
response.en... | code_fim | hard | {
"lang": "python",
"repo": "simone-mangiante/bugs-project",
"path": "/api-server/app/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kashefy/transform path: /scripts/run_mlpMultiTask.py
# -*- coding: utf-8 -*-
""" Auto Encoder Example.
Using an auto encoder on MNIST handwritten digits.
References:
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based
learning applied to document recognition." Proceedings of ... | code_fim | hard | {
"lang": "python",
"repo": "kashefy/transform",
"path": "/scripts/run_mlpMultiTask.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser = argparse.ArgumentParser()
parser.add_argument("-c", "--config", action='append',
dest="fpath_cfg_list", type=str, required=True,
help="Paths to config files")
parser.add_argument("--log_dir", dest="log_dir", type=str,
... | code_fim | hard | {
"lang": "python",
"repo": "kashefy/transform",
"path": "/scripts/run_mlpMultiTask.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param info: PlecostResults instance
:type info: `PlecostResults`
"""
root = ET.Element("libs")
# Set target
target = ET.SubElement(root, "target")
target.text = info.target
# Set time info
time_start = ET.SubElement(root, "start_ti... | code_fim | hard | {
"lang": "python",
"repo": "iniqua/plecost",
"path": "/plecost_lib/libs/reporters.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param content: object with content
:type content: object
"""
raise NotImplemented()
# --------------------------------------------------------------------------
# Implementation
# --------------------------------------------------------------------------
class ReporterJS... | code_fim | hard | {
"lang": "python",
"repo": "iniqua/plecost",
"path": "/plecost_lib/libs/reporters.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iniqua/plecost path: /plecost_lib/libs/reporters.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Plecost: Wordpress vulnerabilities finder
#
# @url: http://iniqua.com/labs/
# @url: https://github.com/iniqua/plecost
#
# @author:Francisco J. Gomez aka ffranz (http://iniqua.com/)
# @author:Daniel G... | code_fim | hard | {
"lang": "python",
"repo": "iniqua/plecost",
"path": "/plecost_lib/libs/reporters.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> attrs = attrs or {}
if 'placeholder' in attrs:
del attrs['placeholder']
date_attrs = dict(attrs)
time_attrs = dict(attrs)
date_attrs.setdefault('class', 'form-control splitdatetimepart')
time_attrs.setdefault('class', 'form-control splitdatetimep... | code_fim | hard | {
"lang": "python",
"repo": "mabelticketing/pretix",
"path": "/src/pretix/control/forms/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mabelticketing/pretix path: /src/pretix/control/forms/__init__.py
import os
from django import forms
from django.utils.formats import get_format
from django.utils.html import conditional_escape
from django.utils.timezone import now
from django.utils.translation import ugettext_lazy as _
from ..... | code_fim | hard | {
"lang": "python",
"repo": "mabelticketing/pretix",
"path": "/src/pretix/control/forms/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pappasam/jedi-language-server path: /tests/lsp_test_client/defaults.py
"""Default values for lsp test client."""
import os
import tests.lsp_test_client as lsp_client
VSCODE_DEFAULT_INITIALIZE = {
"processId": os.getpid(), # pylint: disable=no-member
"clientInfo": {"name": "vscode", "ve... | code_fim | hard | {
"lang": "python",
"repo": "pappasam/jedi-language-server",
"path": "/tests/lsp_test_client/defaults.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>"contentFormat": ["markdown", "plaintext"],
},
"signatureHelp": {
"dynamicRegistration": True,
"signatureInformation": {
"documentationFormat": ["markdown", "plaintext"],
"parameterInformation": {"labelOffsetSu... | code_fim | hard | {
"lang": "python",
"repo": "pappasam/jedi-language-server",
"path": "/tests/lsp_test_client/defaults.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.tool
def setAlg(self):
hvFolder = "/PIXEL/DCS/HV"
tempFolder = "/PIXEL/DCS/TEMPERATURE"
dbInstance = "DCS_OFL"
from AthenaCommon.AthenaCommonFlags import athenaCommonFlags
if athenaCommonFlags.isOnline():
hvFolder = "/PIXEL/HLT/DCS/HV"
tempFolder = "/PIX... | code_fim | medium | {
"lang": "python",
"repo": "strigazi/athena",
"path": "/InnerDetector/InDetConditions/SiPropertiesTool/python/PixelSiPropertiesToolSetup.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.toolName
def setToolName(self, toolName):
self.toolName = toolName
def getTool(self):
return self.tool
def setAlg(self):
hvFolder = "/PIXEL/DCS/HV"
tempFolder = "/PIXEL/DCS/TEMPERATURE"
dbInstance = "DCS_OFL"
from AthenaCommon.AthenaCommonFlags import athe... | code_fim | medium | {
"lang": "python",
"repo": "strigazi/athena",
"path": "/InnerDetector/InDetConditions/SiPropertiesTool/python/PixelSiPropertiesToolSetup.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: strigazi/athena path: /InnerDetector/InDetConditions/SiPropertiesTool/python/PixelSiPropertiesToolSetup.py
# Copyright (C) 2002-2019 CERN for the benefit of the ATLAS collaboration
class PixelSiPropertiesToolSetup:
"Class to simplify setup of PixelSiPropertiesTool and required conditions algor... | code_fim | hard | {
"lang": "python",
"repo": "strigazi/athena",
"path": "/InnerDetector/InDetConditions/SiPropertiesTool/python/PixelSiPropertiesToolSetup.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CHESyrian/Syrians path: /My_Account/migrations/0004_auto_20200423_0039.py
# Generated by Django 3.0.3 on 2020-04-22 21:39
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
('My_Account', '0003_auto_20200423_0036'),
]
operations = [
migrations... | code_fim | easy | {
"lang": "python",
"repo": "CHESyrian/Syrians",
"path": "/My_Account/migrations/0004_auto_20200423_0039.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Migration(migrations.Migration):
dependencies = [
('My_Account', '0003_auto_20200423_0036'),
]
operations = [
migrations.AlterField(
model_name='profile_model',
name='Bio',
field=models.TextField(default='BIO'),
),
]<|fim_... | code_fim | easy | {
"lang": "python",
"repo": "CHESyrian/Syrians",
"path": "/My_Account/migrations/0004_auto_20200423_0039.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('My_Account', '0003_auto_20200423_0036'),
]
operations = [
migrations.AlterField(
model_name='profile_model',
name='Bio',
field=models.TextField(default='BIO'),
),
]<|fim_prefix|># repo: CHESyrian/Syrians path:... | code_fim | easy | {
"lang": "python",
"repo": "CHESyrian/Syrians",
"path": "/My_Account/migrations/0004_auto_20200423_0039.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Quer-io/Quer.io path: /tests/service/test_utils.py
import unittest
import pandas as pd
import querio.service.utils as ut
from querio.service.exceptions.querio_file_error import QuerioFileError
from querio.ml.model import Model
class UtilstTest(unittest.TestCase):
def setUp(self):
a... | code_fim | hard | {
"lang": "python",
"repo": "Quer-io/Quer.io",
"path": "/tests/service/test_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_freq_count_for_float(self):
values_list = self.data['income'].values.tolist()
self.assertEqual(type(values_list[0]), float)
dict = ut.get_frequency_count_int(values_list, 'income')
self.assertDictEqual(dict, {'income frequencies': {int(11*301.2): 1, int(22*301.... | code_fim | hard | {
"lang": "python",
"repo": "Quer-io/Quer.io",
"path": "/tests/service/test_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>on.declare(cython.int[:], a)
print(ca[0])<|fim_prefix|># repo: cython/cython path: /docs/examples/tutorial/array/safe_usage.py
from cython.cimports.cpython import array
import array
a = cython.declare(array.arr<|fim_middle|>ay, array.array('i', [1, 2, 3]))
ca = cyth | code_fim | easy | {
"lang": "python",
"repo": "cython/cython",
"path": "/docs/examples/tutorial/array/safe_usage.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cython/cython path: /docs/examples/tutorial/array/safe_usage.py
from cython.cimports.cpython import array<|fim_suffix|>on.declare(cython.int[:], a)
print(ca[0])<|fim_middle|>
import array
a = cython.declare(array.array, array.array('i', [1, 2, 3]))
ca = cyth | code_fim | medium | {
"lang": "python",
"repo": "cython/cython",
"path": "/docs/examples/tutorial/array/safe_usage.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cudeso/tools path: /ceds.py
#!/usr/bin/python
#
# Check Expiration Date of SSL certificates
#
# Koen Van Impe
#
# Uses the file ceds.checks as input ; one entry per line, format <host>:<port>
#
# ceds.checks : www.google.com:443
# imap.mydomain.tld:993
#
im... | code_fim | hard | {
"lang": "python",
"repo": "cudeso/tools",
"path": "/ceds.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>servers_to_check = "ceds.checks"
alert_days = 5
mail_rcpt = "<>"
mail_from = "<>"
mail_server = "127.0.0.1"
socket.setdefaulttimeout(300)
servers = open(servers_to_check, "r")
cur_date = datetime.datetime.utcnow()
response = ""
cert_tested = 0
context = ssl.create_default_context(ssl.Purpose.SERVER_AUTH)... | code_fim | hard | {
"lang": "python",
"repo": "cudeso/tools",
"path": "/ceds.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: simplifies/Oblivion path: /Linux/schedule.py
ckState.Checked' in script_c:
json_f = 'PySide2.QtCore.Qt.CheckState.Checked'
else:
json_f = 'PySide2.QtCore.Qt.CheckState.Unchecked'
if 'agenda_gerar_copia_json_ocult=PySide2.QtCore.Qt.CheckState.Checked' in script_c:
json_ocult = 'PySide... | code_fim | hard | {
"lang": "python",
"repo": "simplifies/Oblivion",
"path": "/Linux/schedule.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif '00SHSTRx00' in i:
i = i.replace(':00SHSTRx00', '')
# Have I Been Pwned/senha
if situacaoHaveIPwned == True:
listaf_haveipwned = check_breach(i)
for ex3 in listaf_haveipwned:
if i in ex3:
... | code_fim | hard | {
"lang": "python",
"repo": "simplifies/Oblivion",
"path": "/Linux/schedule.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if '00EMSTRx00' in i:
i = i.replace(':00EMSTRx00', '')
i = str(i)
if formatos_copia_dadobruto:
puxar_pbdb = verificar_ultimos_pb(credencial=i, dadobruto=True, gdr=str(gdrive))
exportar_dados_pbdb.append(puxar_pbdb)
el... | code_fim | hard | {
"lang": "python",
"repo": "simplifies/Oblivion",
"path": "/Linux/schedule.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class PraseSvnTree(ThreadFunObj):
def __init__(self,tree, parentNode, url, rootParent, inFilter=None):
self.tree = tree
self.parentNode = parentNode
self.url = url
self.rootParent = rootParent
self.filter = inFilter
self.running_flag = False
... | code_fim | hard | {
"lang": "python",
"repo": "w2h/compare",
"path": "/sorttreectrl.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: w2h/compare path: /sorttreectrl.py
#coding=utf-8
import wx
import os
from pathutils import *
import svn.remote as remote
from threadctrl import *
from event import *
from data import *
class TreeItemData(object):
FILE = 1
DIR = 0
CONFLICT_BACK_COLOR = wx.Colour(255, 227... | code_fim | hard | {
"lang": "python",
"repo": "w2h/compare",
"path": "/sorttreectrl.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# 获取Item的相对路径
def _get_tree_label(self, tree, itemId):
resultStr = tree.GetItemText(itemId)
curItemId = itemId
while (tree.GetRootItem() != curItemId):
curItemId = tree.GetItemParent(curItemId)
resultStr = resultStr + "/" + tree.GetItemText(c... | code_fim | hard | {
"lang": "python",
"repo": "w2h/compare",
"path": "/sorttreectrl.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aashishyadavally/chomskIE path: /chomskIE/utils.py
import subprocess
from collections import Counter
import spacy
def retrieve_spacy_language(lang):
"""Retrieves trained language pipeline from within SpaCy.
If not available, it is downloaded.
Arguments:
lang (str):
... | code_fim | hard | {
"lang": "python",
"repo": "aashishyadavally/chomskIE",
"path": "/chomskIE/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Based on the instantiated preprocessing steps, can be used to
access sentences and their components such as tokens, named entities,
parts of speech, dependency graphs, etc. within the document.
Parameters:
name (str):
Name of .txt file.
text (str):
... | code_fim | hard | {
"lang": "python",
"repo": "aashishyadavally/chomskIE",
"path": "/chomskIE/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Helps filter invalid sentences in document which are incomplete
and do not express complete thought such as bullet points.
Arguments:
doc (chomskIE.utils.Document):
Document.
Returns:
doc (chomskIE.utils.Document):
Filtered document.
Notes:... | code_fim | hard | {
"lang": "python",
"repo": "aashishyadavally/chomskIE",
"path": "/chomskIE/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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