text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> operations = [
migrations.RemoveField(model_name="participant", name="challenge")
]<|fim_prefix|># repo: Cloud-CV/EvalAI path: /apps/participants/migrations/0003_remove_participant_challenge.py
# -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-12-02 14:45
from __future__ import... | code_fim | medium | {
"lang": "python",
"repo": "Cloud-CV/EvalAI",
"path": "/apps/participants/migrations/0003_remove_participant_challenge.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
("participants", "0002_participantteam_participantteammember")
]
operations = [
migrations.RemoveField(model_name="participant", name="challenge")
]<|fim_prefix|># repo: Cloud-CV/EvalAI path: /apps/participants/migrations/0003_remove_participant_challeng... | code_fim | easy | {
"lang": "python",
"repo": "Cloud-CV/EvalAI",
"path": "/apps/participants/migrations/0003_remove_participant_challenge.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Cloud-CV/EvalAI path: /apps/participants/migrations/0003_remove_participant_challenge.py
# -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-12-02 14:45
from __future__ import unicode_literals
<|fim_suffix|>
dependencies = [
("participants", "0002_participantteam_participant... | code_fim | medium | {
"lang": "python",
"repo": "Cloud-CV/EvalAI",
"path": "/apps/participants/migrations/0003_remove_participant_challenge.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> pmkid = input("PMKID: ")
essid = input("ESSID: ")
mac_ap = input("MAC-AP: ")
mac_sta = input("MAC-STA: ")
passphrase = input("Passphrase: ")
if len(pmkid) > 32:
hashcat_format = True # Probably (else, that is an invalid pmkid)
else:
hashcat_format = False
if verify_pmkid(pmkid, essid, mac_ap, ... | code_fim | medium | {
"lang": "python",
"repo": "s77rt/pmkid_verifier",
"path": "/pmkid_verifier.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: s77rt/pmkid_verifier path: /pmkid_verifier.py
import hashlib, binascii, hmac
from pbkdf2 import PBKDF2
def verify_pmkid(pmkid, essid, mac_ap, mac_sta, passphrase, hashcat_format=False):
# Clean inputs:
mac_ap = str(mac_ap).replace(':', '').replace('-', '').lower()
mac_sta = str(mac_sta).repla... | code_fim | medium | {
"lang": "python",
"repo": "s77rt/pmkid_verifier",
"path": "/pmkid_verifier.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dbarsam/python-vsgen path: /vsgen/solution.py
# -*- coding: utf-8 -*-
"""
This module provides the neccessary defintions to generate a Solution File.
"""
import os
import uuid
import errno
import pkg_resources
from vsgen.writer import VSGWritable, VSGJinjaRenderer
class VSGSolution(VSGWritabl... | code_fim | hard | {
"lang": "python",
"repo": "dbarsam/python-vsgen",
"path": "/vsgen/solution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param dict datadict: The dictionary containing variables values.
"""
self.GUID = datadict.get("GUID", uuid.uuid1())
self.FileName = datadict.get("FileName", "")
self.Name = datadict.get("Name", "")
self.Projects = datadict.get("Projects", [])
self.V... | code_fim | hard | {
"lang": "python",
"repo": "dbarsam/python-vsgen",
"path": "/vsgen/solution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _import(self, datadict):
"""
Internal method to import instance variables data from a dictionary
:param dict datadict: The dictionary containing variables values.
"""
self.GUID = datadict.get("GUID", uuid.uuid1())
self.FileName = datadict.get("FileN... | code_fim | hard | {
"lang": "python",
"repo": "dbarsam/python-vsgen",
"path": "/vsgen/solution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if s < 3:
return 0, -1
else:
if s not in _Knap:
_Knap[s] = max((values[a] + Knap(s - sizes[a])[0], 'Item {}'.format(a + 1),
s - sizes[a]) for a in J if sizes[a] <= s)
return _Knap[s]
print(Knap(20))<|fim_prefix|># repo: roycek7/oper... | code_fim | medium | {
"lang": "python",
"repo": "roycek7/operation_research",
"path": "/Dynamic Programming/knapsack.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: roycek7/operation_research path: /Dynamic Programming/knapsack.py
"""
Knapsack Problem
We have a container of size 20 units, and want to pack it with the following valuable items:
Item j Size vj Value tj
1 7 25
2 4 12
3 3 8
How many of each item should we pack in order to maximize the total value... | code_fim | medium | {
"lang": "python",
"repo": "roycek7/operation_research",
"path": "/Dynamic Programming/knapsack.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kyleconroy/python-wufoo path: /wufoo/core.py
import itertools
import logging
import os
import re
import urllib
import base64
try:
from google.appengine.api import urlfetch
from django.utils import simplejson as json
APPENGINE = True
except:
import httplib2
import json
APP... | code_fim | hard | {
"lang": "python",
"repo": "kyleconroy/python-wufoo",
"path": "/wufoo/core.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> logging.debug("%s: %s" % (method, uri))
if xml:
headers = {'Content-type': 'application/xml'}
body = xml
else:
headers = {'Content-type': 'application/x-www-form-urlencoded'}
body = urlencode(d)
if APPENGINE:
enco... | code_fim | hard | {
"lang": "python",
"repo": "kyleconroy/python-wufoo",
"path": "/wufoo/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: noonat/deathbeam path: /src/deathbeam/score.py
from pyglet import gl
from . import defs
class Score(object):
HUMANS_LOST = 'humans_lost'
HUMANS_SAVED = 'humans_saved'
POINTS = 'points'
VALUES = {
HUMANS_LOST: {
'text': 'HUMANS LOST: %d',
'size':... | code_fim | hard | {
"lang": "python",
"repo": "noonat/deathbeam",
"path": "/src/deathbeam/score.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if name == 'points':
text = '+%d' % value
if why:
text = why + ' ' + text
self.game.player.attach_text(text)
self.set(name, self.get(name) + value)
def get(self, name):
if not hasattr(self, name):
return 0
... | code_fim | hard | {
"lang": "python",
"repo": "noonat/deathbeam",
"path": "/src/deathbeam/score.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZhihangXu/adaptive-f-divergence path: /bnn/load_data.py
import math
import time
import numpy as np
import tensorflow as tf
import tensorflow.contrib.slim as slim
from tensorflow.python.ops import data_flow_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import array_ops... | code_fim | hard | {
"lang": "python",
"repo": "ZhihangXu/adaptive-f-divergence",
"path": "/bnn/load_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def load_uci_dataset(dataset, i):
# We load the data
datapath = base_dir + dataset + '/'
data = np.loadtxt(datapath + 'data.txt')
index_features = np.loadtxt(datapath + 'index_features.txt').astype('int')
index_target = np.loadtxt(datapath + 'index_target.txt').astype('int')
X = d... | code_fim | medium | {
"lang": "python",
"repo": "ZhihangXu/adaptive-f-divergence",
"path": "/bnn/load_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # We load the data
datapath = base_dir + dataset + '/'
data = np.loadtxt(datapath + 'data.txt')
index_features = np.loadtxt(datapath + 'index_features.txt').astype('int')
index_target = np.loadtxt(datapath + 'index_target.txt').astype('int')
X = data[ : , index_features.tolist() ]... | code_fim | medium | {
"lang": "python",
"repo": "ZhihangXu/adaptive-f-divergence",
"path": "/bnn/load_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ Generates the script to set the hostname in a node """
script = []
script.append(Statements.exec("hostname %s" % node.getName()))
script.append(Statements.createOrOverwriteFile(
"/etc/hostname", [node.getName()]))
script.append(Statements.exec(
"sed -i 's/127.0.0.1/... | code_fim | easy | {
"lang": "python",
"repo": "esagecloudOS/esage-kahuna-master",
"path": "/kahuna/utils/hostname.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: esagecloudOS/esage-kahuna-master path: /kahuna/utils/hostname.py
#!/usr/bin/env jython
from org.jclouds.scriptbuilder.domain import Statements
<|fim_suffix|> """ Generates the script to set the hostname in a node """
script = []
script.append(Statements.exec("hostname %s" % node.get... | code_fim | easy | {
"lang": "python",
"repo": "esagecloudOS/esage-kahuna-master",
"path": "/kahuna/utils/hostname.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Prepare the image
url = 'https://github.com/zhanghang1989/image-data/blob/master/' + \
'encoding/segmentation/ade20k/ADE_val_00001142.jpg?raw=true'
filename = 'example.jpg'
# img = encoding.utils.load_image(
# encoding.utils.download(url, filename)).unsqueeze(0)
img_data, img_h, img_w, size = ... | code_fim | medium | {
"lang": "python",
"repo": "A201124253/PyTorch-Encoding",
"path": "/experiments/segmentation/demo_crfrnn.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Make prediction
output = model(torch.from_numpy(img_data))
print("outputshape is")
print(output.shape)
print(output)
print(torch.max(output, 1)[1].shape)
predict = torch.max(output, 1)[1].cpu().numpy() + 1
print(predict)
# Get color pallete for visualization
mask = encoding.utils.get_mask_pallete(predic... | code_fim | hard | {
"lang": "python",
"repo": "A201124253/PyTorch-Encoding",
"path": "/experiments/segmentation/demo_crfrnn.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: A201124253/PyTorch-Encoding path: /experiments/segmentation/demo_crfrnn.py
import torch
import sys
# sys.path.insert(0,'/home/lzj/anaconda3/envs/materialseg/lib/python3.7/site-packages')
from crfasrnn.crfasrnn_model import CrfRnnNet
import encoding
from PIL import Image
import torchvision.transfo... | code_fim | hard | {
"lang": "python",
"repo": "A201124253/PyTorch-Encoding",
"path": "/experiments/segmentation/demo_crfrnn.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cfmeyers/chain-breaker path: /chain_breaker/chain_breaker.py
# -*- coding: utf-8 -*-
from datetime import date, timedelta
from collections import namedtuple
import csv
from prompt_toolkit import prompt, HTML
from prompt_toolkit import print_formatted_text as print
from prompt_toolkit.styles impo... | code_fim | hard | {
"lang": "python",
"repo": "cfmeyers/chain-breaker",
"path": "/chain_breaker/chain_breaker.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if d.date.strftime('%A') == 'Thursday':
letter = 'Þ'
else:
letter = d.date.strftime('%A')[0].lower()
decorated = f"<bold><white>{letter}</white></bold>"
return f"""\
<{d.color}>▆▆▆</{d.color}>
<{d.color}>▆{decorated}▆</{d.color}>
<{d.color}>▆▆▆</{d.color}>\
"""
def make_b... | code_fim | hard | {
"lang": "python",
"repo": "cfmeyers/chain-breaker",
"path": "/chain_breaker/chain_breaker.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for k, v in tagsInfo.items():
if v.countYes >= threshold_newtag * (v.countYes + v.countIncorrect):
cursor.execute("INSERT INTO tags_use VALUES ('"
+ k + "',"
+ str(v.count) + ","
+ str(v.countYes) + ","
... | code_fim | hard | {
"lang": "python",
"repo": "Keesiu/meta-kaggle",
"path": "/data/external/repositories_2to3/136086/kaggle-master/facebook-recruiting-iii/tags_popular_statistics.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Keesiu/meta-kaggle path: /data/external/repositories_2to3/136086/kaggle-master/facebook-recruiting-iii/tags_popular_statistics.py
import MySQLdb, time
from common_functions import *
from parameters import *
startTime = time.time()
######################################################
... | code_fim | hard | {
"lang": "python",
"repo": "Keesiu/meta-kaggle",
"path": "/data/external/repositories_2to3/136086/kaggle-master/facebook-recruiting-iii/tags_popular_statistics.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return loader.find_template(path)[0]<|fim_prefix|># repo: scheib/chromium-dashboard path: /customtags/templatetags/include_raw.py
from django.template import loader
from google.appengine.ext.webapp import template
<|fim_middle|>register = template.create_template_register()
@register.simple_tag
def i... | code_fim | medium | {
"lang": "python",
"repo": "scheib/chromium-dashboard",
"path": "/customtags/templatetags/include_raw.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scheib/chromium-dashboard path: /customtags/templatetags/include_raw.py
from django.template import loader
from google.appengine.ext.webapp import template
register = template.create_template_register()
<|fim_suffix|> return loader.find_template(path)[0]<|fim_middle|>@register.simple_tag
def i... | code_fim | easy | {
"lang": "python",
"repo": "scheib/chromium-dashboard",
"path": "/customtags/templatetags/include_raw.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ make sure nodes are generated with correct heights in new trees """
successes = 0
failures = 0
iterations = NUM_CALLS
for _ in range(iterations):
handler = self.new_handler()
ret = check_heights(handler.root)
if ret:
... | code_fim | hard | {
"lang": "python",
"repo": "Plongesam/data-structures-game",
"path": "/game_board/avl/test_avl.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Plongesam/data-structures-game path: /game_board/avl/test_avl.py
ight(root)
return True
def check_balance(root):
""" Checks if tree is balanced or not
Returns true if height balanced
Returns false if height imbalanced
"""
if root is None: # base
return True
... | code_fim | hard | {
"lang": "python",
"repo": "Plongesam/data-structures-game",
"path": "/game_board/avl/test_avl.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> failure_callback = False
handler = self.new_handler()
new_vals = [randint(1, POINT_CAP) for _ in range(randint(HEIGHT[0], HEIGHT[1]))]
for val in new_vals:
handler.addNewNode(val, b=False)
true_bal = check_balance(handler.root... | code_fim | hard | {
"lang": "python",
"repo": "Plongesam/data-structures-game",
"path": "/game_board/avl/test_avl.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> all_words = {}
for f in glob('faces/*'):
fname = os.path.basename(f).replace('.png', '')
fwords = fname.split('_')
for fword in fwords:
try:
all_words[fword] += [fname]
except Exception:
all_words[fword] = [fname]
... | code_fim | easy | {
"lang": "python",
"repo": "breyten/hackalod2018",
"path": "/faces_words.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: breyten/hackalod2018 path: /faces_words.py
#!/usr/bin/env python
import sys
import os
import json
from glob import glob
<|fim_suffix|> all_words = {}
for f in glob('faces/*'):
fname = os.path.basename(f).replace('.png', '')
fwords = fname.split('_')
for fword in ... | code_fim | easy | {
"lang": "python",
"repo": "breyten/hackalod2018",
"path": "/faces_words.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HenriqueLR/sample-flask-api path: /run.py
"""Main entrypint of the application."""
# Api factory import
from api import factory
# Eventually force the environment
# factory.environment = 'default'
<|fim_suffix|># Get celery instance
celery = factory.celery
if __name__ == '__main__':
# Actu... | code_fim | easy | {
"lang": "python",
"repo": "HenriqueLR/sample-flask-api",
"path": "/run.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Get celery instance
celery = factory.celery
if __name__ == '__main__':
# Actually run the application
app.run()<|fim_prefix|># repo: HenriqueLR/sample-flask-api path: /run.py
"""Main entrypint of the application."""
# Api factory import
from api import factory
# Eventually force the environme... | code_fim | easy | {
"lang": "python",
"repo": "HenriqueLR/sample-flask-api",
"path": "/run.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MHM18/easy-scraping-tutorial path: /source_code/xkn1.py
# coding = utf-8
import urllib.request
import ssl
ssl._create_default_https_context = ssl._create_unverifie<|fim_suffix|>ww.douban.com/')
print(response.read().decode('utf-8'))<|fim_middle|>d_context
response = urllib.request.urlopen('http... | code_fim | easy | {
"lang": "python",
"repo": "MHM18/easy-scraping-tutorial",
"path": "/source_code/xkn1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ww.douban.com/')
print(response.read().decode('utf-8'))<|fim_prefix|># repo: MHM18/easy-scraping-tutorial path: /source_code/xkn1.py
# coding = utf-8
import urllib.request
import ssl
ssl._create_default_https_context = ssl._create_unverifie<|fim_middle|>d_context
response = urllib.request.urlopen('http... | code_fim | easy | {
"lang": "python",
"repo": "MHM18/easy-scraping-tutorial",
"path": "/source_code/xkn1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>iou import NPMeanIntersectionOverUnion as NPmIoU
from simplecv._impl.metric.pixel import NPPixelMertic<|fim_prefix|># repo: Bobholamovic/SimpleCV path: /simplecv/api/metric.py
from simplecv._impl.metric.confusion_matrix import ConfusionMatrix
from simplecv._impl.metric.miou imp<|fim_middle|>ort THMeanInt... | code_fim | hard | {
"lang": "python",
"repo": "Bobholamovic/SimpleCV",
"path": "/simplecv/api/metric.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Bobholamovic/SimpleCV path: /simplecv/api/metric.py
from simplecv._impl.metric.confusion_matrix import ConfusionMatrix
from simplecv._impl.metric.miou imp<|fim_suffix|>iou import NPMeanIntersectionOverUnion as NPmIoU
from simplecv._impl.metric.pixel import NPPixelMertic<|fim_middle|>ort THMeanInt... | code_fim | hard | {
"lang": "python",
"repo": "Bobholamovic/SimpleCV",
"path": "/simplecv/api/metric.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: migregal/bmstu-iu7-cg path: /lab_07/main.py
import sys
from copy import deepcopy
from PyQt5 import QtWidgets
from PyQt5 import uic
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from funcs import *
from simple_cut import simple_cut
# Класс главного окна
cl... | code_fim | hard | {
"lang": "python",
"repo": "migregal/bmstu-iu7-cg",
"path": "/lab_07/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> following_line(self, x, y)
following_cutter(self, x, y)
return QWidget.eventFilter(self, src, event)
def keyPressEvent(self, event):
key = event.key()
if key == Qt.Key_Shift:
self.ctrl_pressed = True
def keyReleaseEvent(self, event):
... | code_fim | hard | {
"lang": "python",
"repo": "migregal/bmstu-iu7-cg",
"path": "/lab_07/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def clear(self):
self.scene.clear()
self.lines.clear()
self.cur_line.clear()
self.follow_line = None
self.cutter = None
self.cur_cutter.clear()
self.follow_cutter = None
self.drawing_cutter = False
class MyScene(QtWidgets.QGraphicsSce... | code_fim | hard | {
"lang": "python",
"repo": "migregal/bmstu-iu7-cg",
"path": "/lab_07/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Args:
field_value (list, bool, integer, or string): value for the field
returned by PyVCF. E.g. [0.33, 0.66] is a field value for Allele
frequency (AF) field.
"""
if isinstance(field_value, list):
return (self._get_field_type(field_value[0]) if field_value e... | code_fim | hard | {
"lang": "python",
"repo": "Jessime/gcp-variant-transforms",
"path": "/gcp_variant_transforms/transforms/infer_undefined_headers.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jessime/gcp-variant-transforms path: /gcp_variant_transforms/transforms/infer_undefined_headers.py
# Copyright 2018 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may ob... | code_fim | hard | {
"lang": "python",
"repo": "Jessime/gcp-variant-transforms",
"path": "/gcp_variant_transforms/transforms/infer_undefined_headers.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rlworkgroup/metaworlds path: /tests/metaworlds/envs/mujoco/test_mujoco_env.py
import unittest
from metaworlds.envs.mujoco.mujoco_env import MujocoEnv
class TestMujocoEnv(unittest.TestCase):
<|fim_suffix|> # MujocoEnv needs to be subclassed and subclasses specify an XML file
# in... | code_fim | easy | {
"lang": "python",
"repo": "rlworkgroup/metaworlds",
"path": "/tests/metaworlds/envs/mujoco/test_mujoco_env.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_must_subclass(self):
# MujocoEnv needs to be subclassed and subclasses specify an XML file
# in the class member FILE
with self.assertRaises(NotImplementedError):
env = MujocoEnv()<|fim_prefix|># repo: rlworkgroup/metaworlds path: /tests/metaworlds/envs/mu... | code_fim | easy | {
"lang": "python",
"repo": "rlworkgroup/metaworlds",
"path": "/tests/metaworlds/envs/mujoco/test_mujoco_env.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # MujocoEnv needs to be subclassed and subclasses specify an XML file
# in the class member FILE
with self.assertRaises(NotImplementedError):
env = MujocoEnv()<|fim_prefix|># repo: rlworkgroup/metaworlds path: /tests/metaworlds/envs/mujoco/test_mujoco_env.py
import uni... | code_fim | medium | {
"lang": "python",
"repo": "rlworkgroup/metaworlds",
"path": "/tests/metaworlds/envs/mujoco/test_mujoco_env.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: weisisheng/jobs-for-hope path: /backend/scraper_runner.py
import sys
import traceback
import scraperloader
import psycopg2
import globals
from os.path import basename
from config import config
from globals import conn, cur
# CONSTANTS
pdf_message = 'See PDF document.'
def connect():
""" C... | code_fim | hard | {
"lang": "python",
"repo": "weisisheng/jobs-for-hope",
"path": "/backend/scraper_runner.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # close the communication with the PostgreSQL
globals.cur.close()
except (Exception, psycopg2.DatabaseError) as error:
print(error)
finally:
if globals.conn is not None:
globals.conn.close()
print('Database connection closed.')
pr... | code_fim | hard | {
"lang": "python",
"repo": "weisisheng/jobs-for-hope",
"path": "/backend/scraper_runner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #globals.drop_tables()
# create schema
globals.create_tables()
# set the active scraper if one is passed in
if len(sys.argv) - 1 == 1:
globals.active_scrapers = [basename(sys.argv[1])]
# load and run scrapers
total_jobs = 0
scra... | code_fim | hard | {
"lang": "python",
"repo": "weisisheng/jobs-for-hope",
"path": "/backend/scraper_runner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jwmannings/property_monitor path: /functions.py
import requests as r
import configparser
import modin.pandas as pd
import warnings
import numpy as np
from ast import literal_eval
from datetime import datetime
from domainapi import domain
warnings.filterwarnings("ignore")
<|fim_suffi... | code_fim | medium | {
"lang": "python",
"repo": "jwmannings/property_monitor",
"path": "/functions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def feature_score(df, feature_df):
'''docstring'''
df['feature_score'] = np.nan
for index, row in df.iterrows():
score_list = []
#print(row['features'])
for i in row['features']:
#print(i)
score = fea... | code_fim | medium | {
"lang": "python",
"repo": "jwmannings/property_monitor",
"path": "/functions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_another():
assert add_numbers(4, 5) == 9
def test_two_n_plus_one():
assert two_n_plus_one(10) == 21<|fim_prefix|># repo: ryanelandt/throwAwayPython path: /myFuns/tests/test_myFuns.py
import pytest
from myFuns.myFuns import *
# content of test_sample.py
def inc(x):
<|fim_middle|> ... | code_fim | medium | {
"lang": "python",
"repo": "ryanelandt/throwAwayPython",
"path": "/myFuns/tests/test_myFuns.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return x + 1
def test_answer():
assert inc(4) == 5
def test_another():
assert add_numbers(4, 5) == 9
def test_two_n_plus_one():
assert two_n_plus_one(10) == 21<|fim_prefix|># repo: ryanelandt/throwAwayPython path: /myFuns/tests/test_myFuns.py
import pytest
from myFuns.myFuns import... | code_fim | easy | {
"lang": "python",
"repo": "ryanelandt/throwAwayPython",
"path": "/myFuns/tests/test_myFuns.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ryanelandt/throwAwayPython path: /myFuns/tests/test_myFuns.py
import pytest
from myFuns.myFuns import *
<|fim_suffix|>
def test_two_n_plus_one():
assert two_n_plus_one(10) == 21<|fim_middle|># content of test_sample.py
def inc(x):
return x + 1
def test_answer():
assert inc(4) == ... | code_fim | medium | {
"lang": "python",
"repo": "ryanelandt/throwAwayPython",
"path": "/myFuns/tests/test_myFuns.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZFhuang/DiveIntoDLSketches path: /Networks/ZSSR/ZSSR.py
from torch import nn
# ZSSR, 无监督超分辨率, 2018
class ZSSR(nn.Module):
def __init__(self, in_channel=1, num_layers=8,num_filter=64):
<|fim_suffix|> skip=x
x=self.input_conv(x)
x=self.body(x)
x=skip+x
... | code_fim | hard | {
"lang": "python",
"repo": "ZFhuang/DiveIntoDLSketches",
"path": "/Networks/ZSSR/ZSSR.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 简单的全卷积残差网络
super(ZSSR, self).__init__()
self.input_conv=nn.Conv2d(in_channel,num_filter,3,padding=1)
seq=[]
for _ in range(num_layers-2):
seq.append(nn.Conv2d(num_filter,num_filter,3,padding=1))
seq.append(nn.ReLU(True))
self.body=n... | code_fim | medium | {
"lang": "python",
"repo": "ZFhuang/DiveIntoDLSketches",
"path": "/Networks/ZSSR/ZSSR.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Monk9636/py-social-force path: /tests/scenarios_pedped.py
import numpy as np
import pysocialforce as psf
OUTPUT_DIR = "images/"
def test_crossing():
initial_state = np.array(
[[0.0, 0.0, 0.5, 0.5, 10.0, 10.0], [10.0, 0.3, -0.5, 0.5, 0.0, 10.0],]
)
s = psf.Simulator(initial_... | code_fim | hard | {
"lang": "python",
"repo": "Monk9636/py-social-force",
"path": "/tests/scenarios_pedped.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for ped in range(2):
x = states[:, ped, 0]
y = states[:, ped, 1]
ax.plot(x, y, "-o", label="ped {}".format(ped), markersize=2.5)
ax.legend()
def test_2opposing():
initial_state = np.array(
[
[0.0, 0.0, 0.5, 0.0, 0.0, 10.0],
... | code_fim | hard | {
"lang": "python",
"repo": "Monk9636/py-social-force",
"path": "/tests/scenarios_pedped.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_narrow_crossing():
initial_state = np.array(
[[0.0, 0.0, 0.5, 0.5, 2.0, 10.0], [2.0, 0.3, -0.5, 0.5, 0.0, 10.0],]
)
s = psf.Simulator(initial_state)
states = np.stack([s.step().state.copy() for _ in range(40)])
# visualize
print("")
with psf.show.canvas(OUTPU... | code_fim | hard | {
"lang": "python",
"repo": "Monk9636/py-social-force",
"path": "/tests/scenarios_pedped.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zhengl7/purity_fb_python_client path: /test/utils.py
DEBUG = False
def print_list(items):
if items:
print('[')
for item in items:
print(item)
print(']')
def check_is_list_of(data, the_type):
<|fim_suffix|> print ('Filter: {}...\n'.format(filter_str))
... | code_fim | hard | {
"lang": "python",
"repo": "zhengl7/purity_fb_python_client",
"path": "/test/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def list_by_limit(fun, limit_key, the_type):
print ('\nLIMIT is {}'.format(limit_key))
res = fun(limit=limit_key, _return_http_data_only="False")
if DEBUG:
print_list(res.items)
check_is_list_of(res.items, the_type)
return res
def list_by_token(fun, token_key, the_type):
... | code_fim | hard | {
"lang": "python",
"repo": "zhengl7/purity_fb_python_client",
"path": "/test/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: boconlonton/python-deep-dive path: /part-4/3-single_inheritance/5-delegating_to_parent.py
"""Delegating to Parent"""
from math import pi
from numbers import Real
class Person:
def work(self):
return 'Person works...'
class Student(Person):
def work(self):
result = su... | code_fim | hard | {
"lang": "python",
"repo": "boconlonton/python-deep-dive",
"path": "/part-4/3-single_inheritance/5-delegating_to_parent.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return 'Person works...'
class Student(Person):
def work(self):
result = super().work()
return f'Student studies... and {result}'
class PythonStudent(Student):
def work(self):
result = super().work()
return f'PythonStudent codes ... and {result}'
ps = ... | code_fim | hard | {
"lang": "python",
"repo": "boconlonton/python-deep-dive",
"path": "/part-4/3-single_inheritance/5-delegating_to_parent.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tkornuta-nvidia/NeMo path: /collections/nemo_cv/nemo_cv/utils/utils.py
# Copyright (C) NVIDIA. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ... | code_fim | medium | {
"lang": "python",
"repo": "tkornuta-nvidia/NeMo",
"path": "/collections/nemo_cv/nemo_cv/utils/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Interleave two lists.
pad_sizes = list(itertools.chain(*zip(zero_sizes, ext_sizes)))
#print("pad_sizes = ", pad_sizes)
# Pad tensor, starting from last dimension.
padded_tensor = pad(
input=tensor,
pad=pad_sizes,
mode='constan... | code_fim | medium | {
"lang": "python",
"repo": "tkornuta-nvidia/NeMo",
"path": "/collections/nemo_cv/nemo_cv/utils/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Create the reverted list of "desired extensions".
ext_sizes = [m-c for (m, c) in zip(max_sizes, cur_sizes)][::-1]
#print("ext_sizes = ", ext_sizes)
# Interleave two lists.
pad_sizes = list(itertools.chain(*zip(zero_sizes, ext_sizes)))
#print("pad_sizes ... | code_fim | hard | {
"lang": "python",
"repo": "tkornuta-nvidia/NeMo",
"path": "/collections/nemo_cv/nemo_cv/utils/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def fetch_user_data():
# (kam193) OpenID library needs full decoded url, but from flask we
# can get only encoded URL which breaks parsing.
full_decoded_url = urljoin(request.host_url, request.full_path)
oid_consumer = consumer.Consumer(session, None)
info = oid_consumer.complete(req... | code_fim | hard | {
"lang": "python",
"repo": "codilime/acid",
"path": "/acid/features/auth/service.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: codilime/acid path: /acid/features/auth/service.py
# -*- coding: utf-8 -*-
from functools import wraps
from urllib.parse import urljoin
import requests
from flask import abort, request, session, url_for
from openid.consumer import consumer
from openid.extensions import sreg
from .exceptions i... | code_fim | hard | {
"lang": "python",
"repo": "codilime/acid",
"path": "/acid/features/auth/service.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> session['user'] = user
def drop_user_session():
session.pop('user')
def admin_required(wrapped_function):
@wraps(wrapped_function)
def is_user_admin(*args, **kwargs):
current_user = get_current_user()
if current_user and current_user.is_admin():
return wrapp... | code_fim | medium | {
"lang": "python",
"repo": "codilime/acid",
"path": "/acid/features/auth/service.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AlexsLemonade/refinebio path: /foreman/data_refinery_foreman/surveyor/array_express.py
platforms["platform_accession_code"] = external_accession
platforms["platform_accession_name"] = UNKNOWN
platforms["manufacturer"] = UNKNOWN
# Create the expe... | code_fim | hard | {
"lang": "python",
"repo": "AlexsLemonade/refinebio",
"path": "/foreman/data_refinery_foreman/surveyor/array_express.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AlexsLemonade/refinebio path: /foreman/data_refinery_foreman/surveyor/array_express.py
# downloader inspect the downloaded file to determine the
# array then.
if len(array_designs) != 1:
platforms["platform_accession_code"] = UNKNOWN
platforms["plat... | code_fim | hard | {
"lang": "python",
"repo": "AlexsLemonade/refinebio",
"path": "/foreman/data_refinery_foreman/surveyor/array_express.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not download_url:
logger.error(
"Sample %s did not specify a download url, skipping.",
sample_accession_code,
experiment_accession_code=experiment.accession_code,
survey_j... | code_fim | hard | {
"lang": "python",
"repo": "AlexsLemonade/refinebio",
"path": "/foreman/data_refinery_foreman/surveyor/array_express.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> (error, _), figure, marks = print_stats(grids, logger)
success = error is None
if not success:
logger.error(error.default_message)
return False, False
ns.plot_output.parent.mkdir(parents=True, exist_ok=True)
getLogger('matplotlib.backends.backend_pdf').disabled = True
try:
figur... | code_fim | hard | {
"lang": "python",
"repo": "stefantaubert/textgrid-ipa",
"path": "/src/textgrid_tools_cli/grids/stats_generation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stefantaubert/textgrid-ipa path: /src/textgrid_tools_cli/grids/stats_generation.py
from argparse import ArgumentParser, Namespace
from logging import getLogger
from pathlib import Path
from typing import List, cast
from textgrid import TextGrid
from tqdm import tqdm
from textgrid_tools.grids.st... | code_fim | hard | {
"lang": "python",
"repo": "stefantaubert/textgrid-ipa",
"path": "/src/textgrid_tools_cli/grids/stats_generation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: helq/pytropos path: /pytropos/internals/values/__main__.py
from .python_values import PythonValue
from .builtin_mutvalues import List
from .builtin_values import NoneType
from ..errors import TypeCheckLogger
from .__init__ import int, float, bool, none, list
print("Testing Python Values")
val1... | code_fim | hard | {
"lang": "python",
"repo": "helq/pytropos",
"path": "/pytropos/internals/values/__main__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(f"val1 = {val1}")
print(f"val2 = {val2}")
val3 = val1.join_mut(val2, {})
print(f"val1.join(val2) => {val3}")
print()
# Using other lists
val1 = list([int(3), list([]), int(2)])
val2 = list([int(5), list([])])
print(f"val1 = {val1}")
print(f"val2 = {val2}")
val3 = val1.join_mut(val2, {})
print(... | code_fim | hard | {
"lang": "python",
"repo": "helq/pytropos",
"path": "/pytropos/internals/values/__main__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> one_mat = torch.ones(pred.shape[0], pred.shape[1], pred.shape[2] + 1)
index_mat = vlabel.type(torch.LongTensor)
onehot_ = zero_mat.scatter(2, index_mat, one_mat)
onehot = onehot_[:, :, 1:].type(torch.Tensor).to(pred.device)
loss = sigmoid_focal_loss_jit(pred, onehot... | code_fim | hard | {
"lang": "python",
"repo": "attiamohammed/video_analyst",
"path": "/videoanalyst/model/loss/loss_impl/focal_loss.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r"""
Focal loss
:param pred: shape=(B, HW, C), classification logits (BEFORE Sigmoid)
:param label: shape=(B, HW)
"""
r"""
Focal loss
Arguments
---------
pred: torch.Tensor
classification logits (BEFORE Sigmoid)
... | code_fim | hard | {
"lang": "python",
"repo": "attiamohammed/video_analyst",
"path": "/videoanalyst/model/loss/loss_impl/focal_loss.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: attiamohammed/video_analyst path: /videoanalyst/model/loss/loss_impl/focal_loss.py
# -*- coding: utf-8 -*
import torch
from ...common_opr.common_loss import sigmoid_focal_loss_jit
from ...module_base import ModuleBase
from ..loss_base import TRACK_LOSSES
@TRACK_LOSSES.register
class FocalLoss... | code_fim | medium | {
"lang": "python",
"repo": "attiamohammed/video_analyst",
"path": "/videoanalyst/model/loss/loss_impl/focal_loss.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # publish all message
try:
sqsManager.send_messages(messages)
except SQSMessageSendingError:
logger.warn(f"Failed to send SQS message for generation {generation}")
else:
for user in users:
logger.info(f"[SYNC SCHEDULE] Synchronization planned for hub use... | code_fim | hard | {
"lang": "python",
"repo": "Decathlon/hub-decathlon",
"path": "/sync_scheduler.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # append user message into list (it will be send as a batch into queue)
messages.append(user_message)
# publish all message
try:
sqsManager.send_messages(messages)
except SQSMessageSendingError:
logger.warn(f"Failed to send SQS message for generation {generatio... | code_fim | hard | {
"lang": "python",
"repo": "Decathlon/hub-decathlon",
"path": "/sync_scheduler.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Decathlon/hub-decathlon path: /sync_scheduler.py
from tapiriik.database import db
from tapiriik.settings import _GLOBAL_LOGGER
from datetime import datetime
from pymongo.read_preferences import ReadPreference
from tapiriik.helper.sqs.manager import SqsManager, SQSMessageSendingError
import time
i... | code_fim | hard | {
"lang": "python",
"repo": "Decathlon/hub-decathlon",
"path": "/sync_scheduler.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._cursor = 0
self._start = 0
def nextBatch(self, batch_size):
"""Return the next `batch_size` examples from this data set."""
self._start = self._cursor
self._cursor += batch_size
if self._start + batch_size > self._num_samples:
rest_num... | code_fim | hard | {
"lang": "python",
"repo": "wensincai/transwarp-nlp",
"path": "/transwarpnlp/multi_class_classify/dataset/dataset.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def num_samples(self):
return self._num_samples
def hasNext(self):
return self._cursor < self._num_samples
def reset(self):
self._cursor = 0
self._start = 0
def nextBatch(self, batch_size):
"""Return the next `batch_size` examples fr... | code_fim | medium | {
"lang": "python",
"repo": "wensincai/transwarp-nlp",
"path": "/transwarpnlp/multi_class_classify/dataset/dataset.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wensincai/transwarp-nlp path: /transwarpnlp/multi_class_classify/dataset/dataset.py
# -*- coding: utf-8 -*-
# Reading POS data input_data and target_data
"""Utilities for reading POS train, dev and test files files."""
from __future__ import absolute_import
from __future__ import division
from ... | code_fim | hard | {
"lang": "python",
"repo": "wensincai/transwarp-nlp",
"path": "/transwarpnlp/multi_class_classify/dataset/dataset.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> delimiter = ':'
def template_str(line, settings):
t = ConfigTemplate(line)
return t.substitute(settings)
def write_tracks_dict_raw(tracks_dict, cmt_msg=None, directory=None):
upconvert_bloom_to_config_branch()
cmt_msg = cmt_msg if cmt_msg is not None else 'Modified tracks.yaml'
... | code_fim | hard | {
"lang": "python",
"repo": "ros-infrastructure/bloom",
"path": "/bloom/config.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ros-infrastructure/bloom path: /bloom/config.py
# Software License Agreement (BSD License)
#
# Copyright (c) 2013, Willow Garage, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions... | code_fim | hard | {
"lang": "python",
"repo": "ros-infrastructure/bloom",
"path": "/bloom/config.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main():
SERVER_PORT = 8443
httpd = None
# Since unit tests run in parallel, the port may be in use, so
# retry creating the server while incrementing the port number
while SERVER_PORT < 8493: # Max 50 retries
try:
# SSL server copied from here:
#... | code_fim | hard | {
"lang": "python",
"repo": "aaranyak/DesignVideoGame",
"path": "/Installer_Modules/pyinstaller-develop/tests/functional/scripts/pyi_lib_requests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> httpd.serve_forever()
# Start the SSL server
thread = threading.Thread(target=ssl_server)
thread.daemon = True
thread.start()
# Wait a bit for the server to start
time.sleep(1)
# Use requests to get a page from the server
requests.get(
u"https://localhost... | code_fim | hard | {
"lang": "python",
"repo": "aaranyak/DesignVideoGame",
"path": "/Installer_Modules/pyinstaller-develop/tests/functional/scripts/pyi_lib_requests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aaranyak/DesignVideoGame path: /Installer_Modules/pyinstaller-develop/tests/functional/scripts/pyi_lib_requests.py
# -----------------------------------------------------------------------------
# Copyright (c) 2014-2020, PyInstaller Development Team.
#
# Distributed under the terms of the GNU Ge... | code_fim | hard | {
"lang": "python",
"repo": "aaranyak/DesignVideoGame",
"path": "/Installer_Modules/pyinstaller-develop/tests/functional/scripts/pyi_lib_requests.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: R-Andrei/py_address_parser path: /py_address_parser/address.py
from .componentcontainer import ComponentContainer
from .component import Component
class Address(object):
"""
Description
-----------
>A Class used to represent an address. Contains multiple components.
Paramate... | code_fim | hard | {
"lang": "python",
"repo": "R-Andrei/py_address_parser",
"path": "/py_address_parser/address.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if component in self.address:
self.address[component.name] = component if component.value else Component(component.name, '')
def __setitem__(self, component_name, component_value): #DONE
if component_name in self.__keys:
self.address[component_name] = Compo... | code_fim | hard | {
"lang": "python",
"repo": "R-Andrei/py_address_parser",
"path": "/py_address_parser/address.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> >ZipCode -> zipcode base (e.g. 21 Michigan Avenue, Campbell, NC >75121<-1234)
>ZipCodeExtension -> extension of zip-code (e.g. 21 Michigan Avenue, Campbell, NC 75121->1234<)
Usable methods
--------------
>
"""
def __init__(self, *components):
self.address = ... | code_fim | hard | {
"lang": "python",
"repo": "R-Andrei/py_address_parser",
"path": "/py_address_parser/address.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: junfu1115/DANet path: /scripts/prepare_minc.py
import os
import shutil
import argparse
import tarfile
from encoding.utils import download, mkdir
_TARGET_DIR = os.path.expanduser('~/.encoding/data')
def parse_args():
parser = argparse.ArgumentParser(
description='Initialize MINC data... | code_fim | medium | {
"lang": "python",
"repo": "junfu1115/DANet",
"path": "/scripts/prepare_minc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _AUG_DOWNLOAD_URLS = [
('http://opensurfaces.cs.cornell.edu/static/minc/minc-2500.tar.gz', 'bcccbb3b1ab396ef540f024a5ba23eff54f7fe31')]
download_dir = os.path.join(path, 'downloads')
mkdir(download_dir)
for url, checksum in _AUG_DOWNLOAD_URLS:
filename = download(url, path=... | code_fim | medium | {
"lang": "python",
"repo": "junfu1115/DANet",
"path": "/scripts/prepare_minc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
args = parse_args()
mkdir(os.path.expanduser('~/.encoding/datasets'))
if args.download_dir is not None:
if os.path.isdir(_TARGET_DIR):
os.remove(_TARGET_DIR)
os.symlink(args.download_dir, _TARGET_DIR)
else:
download_minc(_TARGE... | code_fim | hard | {
"lang": "python",
"repo": "junfu1115/DANet",
"path": "/scripts/prepare_minc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: isabella232/ingest-client path: /tests/exporter/test_staging.py
import logging
from copy import deepcopy
from unittest import TestCase
from mock import Mock, MagicMock
from requests import HTTPError
from ingest.api.stagingapi import FileDescription, FileUploadFailed
from ingest.exporter import ... | code_fim | hard | {
"lang": "python",
"repo": "isabella232/ingest-client",
"path": "/tests/exporter/test_staging.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_stage_metadata_eventually_none(self):
# given:
staging_area_uuid = '566be204-a684-4896-bda7-8dbb3e4fc65c'
metadata = self._create_test_metadata_resource()
# and: repository raises FileDuplication
file_name = metadata.get_staging_file_name()
sel... | code_fim | hard | {
"lang": "python",
"repo": "isabella232/ingest-client",
"path": "/tests/exporter/test_staging.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # and: ensure consistent interface
self.staging_info_repository.update.assert_not_called()
self.staging_info_repository.find_one.assert_called_once_with(staging_area_uuid, file_name)
def test_stage_metadata_delete_info_on_failure(self):
# given:
staging_area_uu... | code_fim | hard | {
"lang": "python",
"repo": "isabella232/ingest-client",
"path": "/tests/exporter/test_staging.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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