text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>def CheckChangeOnUpload(input_api, output_api):
report = []
report.extend(_CommonChecks(input_api, output_api))
return report
def CheckChangeOnCommit(input_api, output_api):
report = []
report.extend(_CommonChecks(input_api, output_api))
return report<|fim_prefix|># repo: PDi-Communication-S... | code_fim | hard | {
"lang": "python",
"repo": "PDi-Communication-Systems-Inc/lollipop_external_chromium_org",
"path": "/tools/perf/PRESUBMIT.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, data, titler=BoxedTitleDisplayer()):
super().__init__(data)
self.titler = titler
def display(self):
repo_info = self.data
url = self.data['html_url']
owner = self.data['owner']['login']
comments = self.data['comments']
upd... | code_fim | hard | {
"lang": "python",
"repo": "elunico/guppy",
"path": "/gists_display.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def display(self):
SingleGistDisplayObject(self.data).display()
for (file, data) in self.data['files'].items():
putEntry(' Name', data['filename'], valueColor=magenta)
putEntry(' Language', data['language'])
putEntry(' Size', data['size'])
... | code_fim | hard | {
"lang": "python",
"repo": "elunico/guppy",
"path": "/gists_display.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: elunico/guppy path: /gists_display.py
from utils import *
from display import *
from user_display import *
from colors import *
class UserGistsDisplayObjectFactory:
@staticmethod
def forGists(user, gists, gists_url):
print(gists_url)
if gists == 'all':
putln(... | code_fim | hard | {
"lang": "python",
"repo": "elunico/guppy",
"path": "/gists_display.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mlabouardy/swarm-mode-ui path: /docker.py
import os
import requests
class Docker:
WORKER = 'worker'
MANAGER = 'manager'
def __init__(self):
self.URL = 'http://' + os.environ['SWARM_API']
def getServices(self):
r = requests.get(self.URL + '/services')
re... | code_fim | medium | {
"lang": "python",
"repo": "mlabouardy/swarm-mode-ui",
"path": "/docker.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r = requests.get(self.URL + '/tasks/' + id)
return r.json()
def inspectNode(self, id):
r = requests.get(self.URL + '/nodes/' + id)
return r.json();
def getManagers(self):
r = requests.get(self.URL + '/nodes')
data = []
for node in r.json():... | code_fim | hard | {
"lang": "python",
"repo": "mlabouardy/swarm-mode-ui",
"path": "/docker.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rakeshku93/nlpProjects path: /text_classification_with_pytorch/notebook/.ipynb_checkpoints/ctv_nb-checkpoint.py
import pandas as pd
from nltk.tokenize import word_tokenize
from sklearn import naive_bayes
from sklearn.feature_extraction.text import CountVectorizer
<|fim_suffix|> x_train = cou... | code_fim | hard | {
"lang": "python",
"repo": "rakeshku93/nlpProjects",
"path": "/text_classification_with_pytorch/notebook/.ipynb_checkpoints/ctv_nb-checkpoint.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> count_vec = CountVectorizer(tokenizer=word_tokenize, token_pattern=None)
count_vec.fit(df_train.review)
x_train = count_vec.transform(df_train.review)
x_valid = count_vec.transform(df_valid.review)
model = naive_bayes.MultinomialNB()
model.fit(x_train, df_t... | code_fim | medium | {
"lang": "python",
"repo": "rakeshku93/nlpProjects",
"path": "/text_classification_with_pytorch/notebook/.ipynb_checkpoints/ctv_nb-checkpoint.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 4V4loon/HatSploit path: /hatsploit/modules/exploit/unix/linksys/wap54gv3_debug_rce.py
#!/usr/bin/env python3
#
# This module requires HatSploit: https://hatsploit.netlify.app
# Current source: https://github.com/EntySec/HatSploit
#
import re
from hatsploit.lib.module import Module
from hatsplo... | code_fim | hard | {
"lang": "python",
"repo": "4V4loon/HatSploit",
"path": "/hatsploit/modules/exploit/unix/linksys/wap54gv3_debug_rce.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.output_process(f"Exploiting {remote_host}...")
if not self.check(remote_host, remote_port):
self.output_error("Exploit failed!")
return
if blinder.lower() in ['yes', 'y']:
self.blinder(
sender=self.exploit,
... | code_fim | hard | {
"lang": "python",
"repo": "4V4loon/HatSploit",
"path": "/hatsploit/modules/exploit/unix/linksys/wap54gv3_debug_rce.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PacktPublishing/QGIS-Python-Programming-Cookbook-Second-Edition path: /Chapter05/B06246_05_32-coord.py
# Creating a Mouse Coordinate Tracking Tool
# https://github.com/GeospatialPython/Learn/raw/master/Mississippi.zip
from qgis.gui import *
from qgis.core import *
from PyQt4.QtGui import *
from... | code_fim | hard | {
"lang": "python",
"repo": "PacktPublishing/QGIS-Python-Programming-Cookbook-Second-Edition",
"path": "/Chapter05/B06246_05_32-coord.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if event.type() == QEvent.MouseMove:
if event.buttons() == Qt.NoButton:
pos = event.pos()
x = pos.x()
y = pos.y()
p = self.canvas.getCoordinateTransform().toMapCoordinates(x, y)
self.statusBar().showMessage... | code_fim | hard | {
"lang": "python",
"repo": "PacktPublishing/QGIS-Python-Programming-Cookbook-Second-Edition",
"path": "/Chapter05/B06246_05_32-coord.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: maciekmm/dokanki path: /dokanki/converter/test/test_gdocs.py
import tempfile
import shutil
import unittest
import dokanki.converter.gdocs
class TestDocs(unittest.TestCase):
docs_outliner = dokanki.converter.gdocs.GDocsConverter()
def test_supports(self):
<|fim_suffix|> def test_crea... | code_fim | hard | {
"lang": "python",
"repo": "maciekmm/dokanki",
"path": "/dokanki/converter/test/test_gdocs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> temp_dir = tempfile.mkdtemp(prefix="dokanki-test")
if temp_dir is None:
self.skipTest("Can't create temp dir")
return
self.assertTrue(self.docs_outliner._unzip_entry("./docs.zip", temp_dir).endswith(
"PBDOpracowaniepytazegzaminu2016i2017.html"))
... | code_fim | hard | {
"lang": "python",
"repo": "maciekmm/dokanki",
"path": "/dokanki/converter/test/test_gdocs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tivix/Django-parsley path: /parsley/mixins.py
from parsley.decorators import parsleyfy
<|fim_suffix|> class Media:
js = (
"parsley/js/parsley-standalone.min.js",
"parsley/js/parsley.django-admin.js",
)<|fim_middle|>
class ParsleyAdminMixin(object):
... | code_fim | medium | {
"lang": "python",
"repo": "Tivix/Django-parsley",
"path": "/parsley/mixins.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_form(self, *args, **kwargs):
form = super(ParsleyAdminMixin, self).get_form(*args, **kwargs)
return parsleyfy(form)
class Media:
js = (
"parsley/js/parsley-standalone.min.js",
"parsley/js/parsley.django-admin.js",
)<|fim_prefix|># r... | code_fim | easy | {
"lang": "python",
"repo": "Tivix/Django-parsley",
"path": "/parsley/mixins.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>,"!"]:
result.append(w[0].upper() + w[1:])
first = False
punc = False
continue
if punc and tpunc:
result[-1] = w
else:
result.append(w)
punc = tpunc
return result
def Sentence():
return ConstructSenten... | code_fim | medium | {
"lang": "python",
"repo": "jvictor0/TiaraBoom",
"path": "/tiara/sentence_gen.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jvictor0/TiaraBoom path: /tiara/sentence_gen.py
from grammar import _sentence, _advice, _insult
def ConstructSentence(phr):
punc = False
first = True
result = []
for w in phr:
tpunc =<|fim_suffix|> result[-1] = w
else:
result.append(w)
pun... | code_fim | hard | {
"lang": "python",
"repo": "jvictor0/TiaraBoom",
"path": "/tiara/sentence_gen.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> result[-1] = w
else:
result.append(w)
punc = tpunc
return result
def Sentence():
return ConstructSentence(_sentence())<|fim_prefix|># repo: jvictor0/TiaraBoom path: /tiara/sentence_gen.py
from grammar import _sentence, _advice, _insult
def ConstructSentence(phr... | code_fim | medium | {
"lang": "python",
"repo": "jvictor0/TiaraBoom",
"path": "/tiara/sentence_gen.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: theylom/tdog-husky-hg path: /src/validations.py
#!/usr/bin/env python
#
#tdog-husky
import re
import os, sys
import subprocess
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '... | code_fim | hard | {
"lang": "python",
"repo": "theylom/tdog-husky-hg",
"path": "/src/validations.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if os.path.exists('/'.join(filePath.split('/')[:-1]) + '/' + 'index.stories.js'):
print bcolors.WARNING + ('Component added/modified %s make sure you ran "yarn jest storybook -u" to create/update the snapshot.' % filename) + bcolors.ENDC
if line.... | code_fim | hard | {
"lang": "python",
"repo": "theylom/tdog-husky-hg",
"path": "/src/validations.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if (exitval - entryval) > 0:
tmp[i,j] = R[i,5]*(exitval-entryval);
else:
tmp[i,j] = 0;
#endif
#endfor
#endfor
radvec = np.sum(tmp,axis = 0);
analytical_sinogram = np.transpose(np.reshape(radvec,(len(theta_vec),len(t_ve... | code_fim | hard | {
"lang": "python",
"repo": "francescat93/Exact_sinogram",
"path": "/exact_sinogram/radon_exact.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns
-------
analytical_sinogram : Analytical Sinogram
"""
#Rescaling according to image size
S[:,0] = S[:,0]*N/2
S[:,1] = (S[:,1])*N/2
S[:,2] = (S[:,2])*N/2
S[:,3] = S[:,3]*math.pi/180
[t_vec, grid_t, grid_theta] = build_t_theta_pixel(N,theta_vec, cir... | code_fim | hard | {
"lang": "python",
"repo": "francescat93/Exact_sinogram",
"path": "/exact_sinogram/radon_exact.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: francescat93/Exact_sinogram path: /exact_sinogram/radon_exact.py
y.shape[1], nrow))
for k in range(nrow): #itero sulle ellissi
x_new = x - E[k,2]
y_new = y - E[k,3]
#find(( (x.*cosp + y.*sinp).^2)./asq + ((y.*cosp - x.*sinp).^2)./bsq <= 1);
cosp = math.cos(E... | code_fim | hard | {
"lang": "python",
"repo": "francescat93/Exact_sinogram",
"path": "/exact_sinogram/radon_exact.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lishikuan/cutrect path: /rect/migrations/0002_auto_20180111_1541.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.8 on 2018-01-11 07:41
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> operations = [... | code_fim | medium | {
"lang": "python",
"repo": "lishikuan/cutrect",
"path": "/rect/migrations/0002_auto_20180111_1541.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('rect', '0001_auto_20180111_1408'),
]
operations = [
migrations.AddField(
model_name='page',
name='updated_at',
field=models.DateTimeField(auto_now=True, verbose_name='更新时间'),
),
migrations.AlterField(
... | code_fim | medium | {
"lang": "python",
"repo": "lishikuan/cutrect",
"path": "/rect/migrations/0002_auto_20180111_1541.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>t0 = time()
best_epoch = 0
gen_waves1=[]
gen_waves2=[]
dloss=[]
gloss=[]
mmd_save=[]
cond_dim=0
print('epoch\ttime\tD_loss\tG_loss\tmmd2')
for epoch in range(num_epochs):
D_loss_curr, G_loss_curr = Combmodel_rnn_gan.train_epoch(epoch, samples['train'], labels['train'],
... | code_fim | hard | {
"lang": "python",
"repo": "StoicGilgamesh/Comb-GAN",
"path": "/Combrecurrentgan_tf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StoicGilgamesh/Comb-GAN path: /Combrecurrentgan_tf.py
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 19 15:20:49 2018
@author: CHHRGUP
"""
import tensorflow as tf
import numpy as np
from math import ceil
from sklearn import preprocessing
import Combmodel_rnn_gan
from time import t... | code_fim | hard | {
"lang": "python",
"repo": "StoicGilgamesh/Comb-GAN",
"path": "/Combrecurrentgan_tf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shortthirdman/code-eval-challenges path: /moderate/pass_triangle.py3
import fileinput
a = []
for line in fileinput.input():
s = [int<|fim_suffix|> len(s)-1):
s[i] += max(a[i-1], a[i])
a = s
print(max(a))<|fim_middle|>(i) for i in line.split()]
if len(a) > 0:
s[0] += a... | code_fim | medium | {
"lang": "python",
"repo": "shortthirdman/code-eval-challenges",
"path": "/moderate/pass_triangle.py3",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> len(s)-1):
s[i] += max(a[i-1], a[i])
a = s
print(max(a))<|fim_prefix|># repo: shortthirdman/code-eval-challenges path: /moderate/pass_triangle.py3
import fileinput
a = []
for line in fileinput.input():
s = [int(i) for i in line.split()]
if len(a) > 0:
s[0] += a[0]
<|fim_mi... | code_fim | medium | {
"lang": "python",
"repo": "shortthirdman/code-eval-challenges",
"path": "/moderate/pass_triangle.py3",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(a) > 1:
s[-1] += a[-1]
for i in range(1, len(s)-1):
s[i] += max(a[i-1], a[i])
a = s
print(max(a))<|fim_prefix|># repo: shortthirdman/code-eval-challenges path: /moderate/pass_triangle.py3
import fileinput
a = []
for line in fileinput.input():
s = [int<|fim_mi... | code_fim | medium | {
"lang": "python",
"repo": "shortthirdman/code-eval-challenges",
"path": "/moderate/pass_triangle.py3",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> glidingAverage = getGlidingAverage()
print "Gliding average is " + str(glidingAverage)
if (db.isExpensiveHour(getNow(), glidingAverage, 1.2)):
targetTemp += expensiveBreakpoint
print "now is expensive hour. Adding to targetTemp " + str(expensiveBreakpoint)
elif (db.isExpen... | code_fim | hard | {
"lang": "python",
"repo": "tobiblas/ThermostatPi",
"path": "/thermostat/sense_remote_temp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tobiblas/ThermostatPi path: /thermostat/sense_remote_temp.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import with_statement
from subprocess import call
import time
import pytz
import sys
import urllib2
import threading
from urllib2 import URLError
import json
import db
from d... | code_fim | hard | {
"lang": "python",
"repo": "tobiblas/ThermostatPi",
"path": "/thermostat/sense_remote_temp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def run(self):
logger.info("Starting Slack Machine")
self._dispatcher.start()
Scheduler(settings=self._settings, loop=self._loop).start()
logger.info("Scheduler started!")
keepaliver: Optional[asyncio.Task] = None
runner: Optional[AppRunner] = No... | code_fim | hard | {
"lang": "python",
"repo": "mailgun/aio-slack-machine",
"path": "/machine/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mailgun/aio-slack-machine path: /machine/core.py
# -*- coding: utf-8 -*-
import asyncio
import inspect
import signal
import sys
from functools import partial
from typing import Mapping, Optional
import dill
from aiohttp.web import Application, AppRunner, TCPSite
from loguru import logger
from ... | code_fim | hard | {
"lang": "python",
"repo": "mailgun/aio-slack-machine",
"path": "/machine/core.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: viniciusjulianirossi/Python path: /Comprehension e Funções Integradas/Generators.py
"""
Tuple comprehension...porque elas se chama generators
nomes = ["Carlos", "Camila", "Carla", "Cassioano", "Cristina", "vanessa"]
print(any([nome[0] == 'C' for nome in nomes]))
# Poderiamos ter feito utilizan... | code_fim | hard | {
"lang": "python",
"repo": "viniciusjulianirossi/Python",
"path": "/Comprehension e Funções Integradas/Generators.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Set
set_comp = getsizeof({x * 10 for x in range(1000)})
# Dict
dict_comp = getsizeof({x: x * 10 for x in range(1000)})
# Generator
gen = getsizeof(x * 10 for x in range(1000))
print("Para fazer a mesma tarefa gastamos em memoria")
print(f"Lista {list_comp} bytes")
print(f"Set {set_comp} bytes")
prin... | code_fim | hard | {
"lang": "python",
"repo": "viniciusjulianirossi/Python",
"path": "/Comprehension e Funções Integradas/Generators.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ntu-rris/bound-learning-supplementary path: /poseLearning/6D/util.py
import numpy as np
import os
#import matplotlib
import matplotlib.pyplot as plt
def saveScatterPlotWithBoundary(points,reconPoints,actualBoundary, filename, fig=None, bound=True):
if(fig==None):
fig=plt.figure(figsize=(8, 8... | code_fim | hard | {
"lang": "python",
"repo": "ntu-rris/bound-learning-supplementary",
"path": "/poseLearning/6D/util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> plt.scatter(points[:,0],points[:,1],color='k',s=1)
plt.scatter(reconPoints[:,0],reconPoints[:,1],color='r',s=1)
plt.plot(actualBoundary[:,0],actualBoundary[:,1],color='b',marker='+')
plt.axis('equal') #allow true square scaling
if bound:
plt.axis([-2,2,-2,2])
plt.savefig(filename,bbox_inches... | code_fim | hard | {
"lang": "python",
"repo": "ntu-rris/bound-learning-supplementary",
"path": "/poseLearning/6D/util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: facebookresearch/Mephisto path: /mephisto/abstractions/providers/prolific/api/eligibility_requirement_classes/approval_rate_eligibility_requirement.py
from .base_eligibility_requirement import BaseEligibilityRequirement
class ApprovalRateEligibilityRequirement(BaseEligibilityRequirement):
<|fim... | code_fim | hard | {
"lang": "python",
"repo": "facebookresearch/Mephisto",
"path": "/mephisto/abstractions/providers/prolific/api/eligibility_requirement_classes/approval_rate_eligibility_requirement.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, minimum_approval_rate: int, maximum_approval_rate: int):
self.minimum_approval_rate = minimum_approval_rate
self.maximum_approval_rate = maximum_approval_rate<|fim_prefix|># repo: facebookresearch/Mephisto path: /mephisto/abstractions/providers/prolific/api/eligibil... | code_fim | medium | {
"lang": "python",
"repo": "facebookresearch/Mephisto",
"path": "/mephisto/abstractions/providers/prolific/api/eligibility_requirement_classes/approval_rate_eligibility_requirement.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>__all__ = ["ElementDivide"]
class ElementDivide(
ElementOperator,
BinaryOperator,
ArrayOperator,
):
fn: ClassVar = jnp.divide<|fim_prefix|># repo: jedhsu/tensor path: /src/tensor/op/arithmetic/divide.py
"""
*Element Divide*
<|fim_middle|>"""
import jax.numpy as jnp
| code_fim | easy | {
"lang": "python",
"repo": "jedhsu/tensor",
"path": "/src/tensor/op/arithmetic/divide.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jedhsu/tensor path: /src/tensor/op/arithmetic/divide.py
"""
*Element Divide*
"""
import jax.numpy as jnp
__all__ = ["ElementDivide"]
<|fim_suffix|> ElementOperator,
BinaryOperator,
ArrayOperator,
):
fn: ClassVar = jnp.divide<|fim_middle|>
class ElementDivide(
| code_fim | easy | {
"lang": "python",
"repo": "jedhsu/tensor",
"path": "/src/tensor/op/arithmetic/divide.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Equivalent of df[col].values, but without going through normal getitem,
which triggers tracking references / CoW (and we might be testing that
this is done by some other operation).
"""
if isinstance(obj, Series) and (col is None or obj.name == col):
arr = obj._values
else:... | code_fim | medium | {
"lang": "python",
"repo": "tnir/pandas",
"path": "/pandas/tests/copy_view/util.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tnir/pandas path: /pandas/tests/copy_view/util.py
from pandas import Series
from pandas.core.arrays import BaseMaskedArray
<|fim_suffix|> Equivalent of df[col].values, but without going through normal getitem,
which triggers tracking references / CoW (and we might be testing that
this... | code_fim | medium | {
"lang": "python",
"repo": "tnir/pandas",
"path": "/pandas/tests/copy_view/util.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def meshgrid(x, y, row_major=True):
a = torch.arange(0,x)
b = torch.arange(0,y)
xx = a.repeat(y).view(-1,1)
yy = b.view(-1,1).repeat(1,x).view(-1,1)
return torch.cat([xx,yy],1) if row_major else torch.cat([yy,xx],1)
def change_box_order(boxes, order):
'''Change box order between (... | code_fim | hard | {
"lang": "python",
"repo": "Sindy98/spc2",
"path": "/utils/util.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sindy98/spc2 path: /utils/util.py
ileHandler(log_file, mode='a' if resume else 'w')
fileHandler.setFormatter(formatter)
streamHandler = logging.StreamHandler()
streamHandler.setFormatter(formatter)
logger.setLevel(level)
logger.addHandler(fileHandler)
logger.addHandler(s... | code_fim | hard | {
"lang": "python",
"repo": "Sindy98/spc2",
"path": "/utils/util.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
boxes: (tensor) bounding boxes, sized [N,4].
order: (str) either 'xyxy2xywh' or 'xywh2xyxy'.
Returns:
(tensor) converted bounding boxes, sized [N,4].
'''
assert order in ['xyxy2xywh','xywh2xyxy']
a = boxes[:,:2]
b = boxes[:,2:]
if order == 'xyxy2xywh':
... | code_fim | hard | {
"lang": "python",
"repo": "Sindy98/spc2",
"path": "/utils/util.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: augeas/BirdSpider path: /birdspider/twitter_tools/neo.py
# Licensed under the Apache License Version 2.0: http://www.apache.org/licenses/LICENSE-2.0.txt
from datetime import datetime
from itertools import chain, starmap
import logging
import re
import time
noSlash = re.compile(r'\\')
def cyph... | code_fim | hard | {
"lang": "python",
"repo": "augeas/BirdSpider",
"path": "/birdspider/twitter_tools/neo.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # push original tweets from RTs/quotes
for label in ['retweet', 'quotetweet']:
tweets = [(tw[0],) for tw in tweet_dump[label]]
if tweets:
tweets2Neo(db, tweets, label='tweet')
# (RT/quote)-[RETWEET_OF/QUOTE_OF]->(tweet)
if tweet_dump['retweet']:
tweetLi... | code_fim | hard | {
"lang": "python",
"repo": "augeas/BirdSpider",
"path": "/birdspider/twitter_tools/neo.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def download_page(url):
response = urllib.request.urlopen(url)
return response.read().decode("utf-8")
class WindowsKeyPageParser(html.parser.HTMLParser):
def __init__(self, *, convert_charrefs=True):
super().__init__(convert_charrefs=True)
self.product_keys = {}
self... | code_fim | hard | {
"lang": "python",
"repo": "quickemu-project/quickemu",
"path": "/windowskey",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.parsing_os = False
def handle_data(self, data):
if self.parsing_os:
self.stash_table_cell(data)
def stash_table_cell(self, data):
if "Windows" in data:
self.current_os = data
else:
product_key = data
self.produc... | code_fim | hard | {
"lang": "python",
"repo": "quickemu-project/quickemu",
"path": "/windowskey",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: quickemu-project/quickemu path: /windowskey
#!/usr/bin/env python3
import html.parser
import os
import sys
import urllib.request
"""
Download Windows product keys from MicroSoft
"""
key_page_url = "https://docs.microsoft.com/en-us/windows-server/get-started/kms-client-activation-keys"
<|fim... | code_fim | hard | {
"lang": "python",
"repo": "quickemu-project/quickemu",
"path": "/windowskey",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #print(request.POST['VM_name'])
#print(request.POST['SLA_Option'])
#print(request.POST['SLA_Value'])
URL = URLServer + URLSetSLA
print(URL)
print(URL)
print(URL)
print(URL)
_VM_name = request.POST['VM_name']
_SLO_Option = requ... | code_fim | hard | {
"lang": "python",
"repo": "hanjjm/Stella_Horizon",
"path": "/openstack_dashboard/dashboards/stella/SLAConfigPanel/forms.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def submitSLA(self, request):
#print(request.POST['VM_name'])
#print(request.POST['SLA_Option'])
#print(request.POST['SLA_Value'])
URL = URLServer + URLSetSLA
print(URL)
print(URL)
print(URL)
print(URL)
_VM_name = request.POST['VM... | code_fim | medium | {
"lang": "python",
"repo": "hanjjm/Stella_Horizon",
"path": "/openstack_dashboard/dashboards/stella/SLAConfigPanel/forms.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hanjjm/Stella_Horizon path: /openstack_dashboard/dashboards/stella/SLAConfigPanel/forms.py
from django import forms
import requests
from requests.auth import HTTPDigestAuth
import json
URLServer = "http://203.230.60.81:5000"
URLstatus = "/stella"
URLlistVM = "/stella/vms"
URLSetSLA = "/stella/v... | code_fim | medium | {
"lang": "python",
"repo": "hanjjm/Stella_Horizon",
"path": "/openstack_dashboard/dashboards/stella/SLAConfigPanel/forms.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> graph_gen_tf = time.perf_counter()
print(f"\tRandom graph generated in {graph_gen_tf - graph_gen_ti:0.4f} seconds.")
print(f"\t\tPlayer 'Reachability' controls {len(random_graph.reachability_player_nodes)}")
print(f"\t\tPlayer 'Safety' controls {len(random_graph.safety_player_nodes)}\n\n")... | code_fim | hard | {
"lang": "python",
"repo": "giannetti1904342/Reasoning_agents",
"path": "/Games_On_Graphs_1904342/reachability.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Naive version, directly derived from the slides.
Given a graph and a set of target nodes, returns the set of nodes such that
the target is not reachable from them. Optionally, writes the steps of the algorithm as pictures.
:param G: a graph
:param target: a set of integers
... | code_fim | hard | {
"lang": "python",
"repo": "giannetti1904342/Reasoning_agents",
"path": "/Games_On_Graphs_1904342/reachability.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: giannetti1904342/Reasoning_agents path: /Games_On_Graphs_1904342/reachability.py
from typing import Set
import time
from graph import GameGraph
from graph_simple import GameGraphSimple
from draw_graph import draw_graph
#Improved backward algorithm implementation. Please refer the documentation ... | code_fim | hard | {
"lang": "python",
"repo": "giannetti1904342/Reasoning_agents",
"path": "/Games_On_Graphs_1904342/reachability.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Invalid column spacing
with pytest.raises(ValueError) as excinfo:
SimpleTable([column_1, column_2], column_spacing=-1)
assert "Column spacing cannot be less than 0" in str(excinfo.value)
# Invalid divider character
with pytest.raises(TypeError) as excinfo:
SimpleTabl... | code_fim | hard | {
"lang": "python",
"repo": "python-cmd2/cmd2",
"path": "/tests/test_table_creator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: python-cmd2/cmd2 path: /tests/test_table_creator.py
Column("")
assert c.width < 0
tc = TableCreator([c])
assert tc.cols[0].width == 1
# No width specified, label isn't blank but has no width
c = Column(ansi.style('', fg=Fg.GREEN))
assert c.width < 0
tc = TableCreator(... | code_fim | hard | {
"lang": "python",
"repo": "python-cmd2/cmd2",
"path": "/tests/test_table_creator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # No column borders
at = AlternatingTable([column_1, column_2], column_borders=False)
table = at.generate_table(row_data)
assert table == (
'╔══════════════════════════════════╗\n'
'║ Col 1 Col 2 ║\n'
'╠══════════════════════════════════╣\n'
... | code_fim | hard | {
"lang": "python",
"repo": "python-cmd2/cmd2",
"path": "/tests/test_table_creator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if overwrite_dict:
overwrite = PermissionOverwrite(**overwrite_dict)
for ch in all_channels:
if role in ch.overwrites:
existing_ow = ch.overwrites_for(role)
if existing_ow == overwrite:
continue... | code_fim | hard | {
"lang": "python",
"repo": "Lazyuki/DiscordStatsBotPython",
"path": "/cogs/moderation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Usage: ,,chrp <role> [excluded channels] permission1=True, permission2=None, permission3=False... [-f to force, otherwise merge]
If forced, previous overwrites will be ignored.
Do not specify permissions if you want to remove permission overwrites from all channels.
Example... | code_fim | hard | {
"lang": "python",
"repo": "Lazyuki/DiscordStatsBotPython",
"path": "/cogs/moderation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Lazyuki/DiscordStatsBotPython path: /cogs/moderation.py
from discord.ext import commands
import discord
import typing
import logging
import asyncio
import asyncpg
import subprocess
import re
from discord.ext.commands.context import Context
from discord.permissions import PermissionOverwrite, Per... | code_fim | hard | {
"lang": "python",
"repo": "Lazyuki/DiscordStatsBotPython",
"path": "/cogs/moderation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>output_df['Github links'] = output_df[['Package','Function','Github link']].groupby(['Package','Function'])['Github link'].transform(lambda x: ', '.join(x))
output_df = output_df.sort_values(by=['Package','Function'], ascending=[True,True]).reset_index()
output_df = output_df[['Package','Function','Github... | code_fim | hard | {
"lang": "python",
"repo": "maladeep/preppin-data",
"path": "/meta/methods.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> usage_df = pd.DataFrame()
usage_df['Search Terms'] = search_terms
usage_df['File'] = preppin_data_scripts[s]
usage_df['Used'] = functions
usage_df = usage_df.loc[usage_df['Used'] == True]
if s == 0:
output_df = usage_df
else:
output_df = pd.concat([output_df,u... | code_fim | hard | {
"lang": "python",
"repo": "maladeep/preppin-data",
"path": "/meta/methods.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: maladeep/preppin-data path: /meta/methods.py
#from inspect import getmembers, isfunction
import pandas as pd
import numpy as np
from pandas import DataFrame as df
import glob
preppin_data_scripts = glob.glob("20*.py")
pandas_df = pd.DataFrame()
pandas_df['Function'] = dir(pd)
pandas_df['Packag... | code_fim | hard | {
"lang": "python",
"repo": "maladeep/preppin-data",
"path": "/meta/methods.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: moderngl/moderngl-window path: /examples/text_simple.py
import moderngl_window
from moderngl_window.text.bitmapped import TextWriter2D
<|fim_suffix|> self.writer.draw((240, 380), size=120)
App.run()<|fim_middle|>class App(moderngl_window.WindowConfig):
title = "Text"
aspect_rat... | code_fim | hard | {
"lang": "python",
"repo": "moderngl/moderngl-window",
"path": "/examples/text_simple.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def render(self, time, frame_time):
self.writer.draw((240, 380), size=120)
App.run()<|fim_prefix|># repo: moderngl/moderngl-window path: /examples/text_simple.py
import moderngl_window
from moderngl_window.text.bitmapped import TextWriter2D
class App(moderngl_window.WindowConfig):
tit... | code_fim | medium | {
"lang": "python",
"repo": "moderngl/moderngl-window",
"path": "/examples/text_simple.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.writer.draw((240, 380), size=120)
App.run()<|fim_prefix|># repo: moderngl/moderngl-window path: /examples/text_simple.py
import moderngl_window
from moderngl_window.text.bitmapped import TextWriter2D
class App(moderngl_window.WindowConfig):
<|fim_middle|> title = "Text"
aspect_rat... | code_fim | hard | {
"lang": "python",
"repo": "moderngl/moderngl-window",
"path": "/examples/text_simple.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dandxy89/ImageModels path: /VGG19.py
"""
Model Name:
VGG-19 - using the Functional Keras API
A model of the 19-layer network used by the VGG team in the ILSVRC-2014 competition.
Paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition - K. Sim... | code_fim | hard | {
"lang": "python",
"repo": "dandxy89/ImageModels",
"path": "/VGG19.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Layer Cluster - 3
x = ZeroPadding2D(padding=(1, 1), dim_ordering=DIM_ORDERING)(x)
x = Convolution2D(256, 3, 3,
activation='relu',
border_mode='same',
dim_ordering=DIM_ORDERING)(x)
x = ZeroPadding2D(padding=(1, 1), dim_orde... | code_fim | hard | {
"lang": "python",
"repo": "dandxy89/ImageModels",
"path": "/VGG19.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Layer Cluster - 4
x = ZeroPadding2D(padding=(1, 1), dim_ordering=DIM_ORDERING)(x)
x = Convolution2D(512, 3, 3,
activation='relu',
border_mode='same',
dim_ordering=DIM_ORDERING)(x)
x = ZeroPadding2D(padding=(1, 1), dim_orde... | code_fim | hard | {
"lang": "python",
"repo": "dandxy89/ImageModels",
"path": "/VGG19.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HelenaAdrignoli/tir-script-samples path: /Protheus_WebApp/Modules/SIGAAGR/AGRA650TestCase.py
from tir import Webapp
import unittest
class AGRA650(unittest.TestCase):
@classmethod
def setUpClass(inst):
from datetime import datetime
DateSystem = datetime.today().s... | code_fim | medium | {
"lang": "python",
"repo": "HelenaAdrignoli/tir-script-samples",
"path": "/Protheus_WebApp/Modules/SIGAAGR/AGRA650TestCase.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
self.oHelper.SearchBrowse("D MG 01 "+"1920 "+"000013")
self.oHelper.SetButton("Outras Ações","Incluir Fardos",position=1, check_error=True)
self.oHelper.SetValue("MV_PAR02", "999999",name_attr=True)
self.oHelper.SetValue("MV_PAR03", "1",name_attr=True)
... | code_fim | medium | {
"lang": "python",
"repo": "HelenaAdrignoli/tir-script-samples",
"path": "/Protheus_WebApp/Modules/SIGAAGR/AGRA650TestCase.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.oHelper.SearchBrowse("D MG 01 "+"1920 "+"000013")
self.oHelper.SetButton("Outras Ações","Incluir Fardos",position=1, check_error=True)
self.oHelper.SetValue("MV_PAR02", "999999",name_attr=True)
self.oHelper.SetValue("MV_PAR03", "1",name_attr=True)
sel... | code_fim | medium | {
"lang": "python",
"repo": "HelenaAdrignoli/tir-script-samples",
"path": "/Protheus_WebApp/Modules/SIGAAGR/AGRA650TestCase.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: microsoftgraph/msgraph-sdk-python path: /msgraph/generated/models/security/kubernetes_service_evidence.py
from __future__ import annotations
from dataclasses import dataclass, field
from kiota_abstractions.serialization import Parsable, ParseNode, SerializationWriter
from typing import Any, Calla... | code_fim | hard | {
"lang": "python",
"repo": "microsoftgraph/msgraph-sdk-python",
"path": "/msgraph/generated/models/security/kubernetes_service_evidence.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Enmin/ModellingJointInferenceOfPhysicsAndMind path: /exec/evaluateNNPriorMCTSNoPhysicsSheepChaseWolf/prepareNoPhysicsNeuralNetDataSheepChaseWolf.py
import os
import sys
sys.path.append(os.path.join(os.path.join(os.path.dirname(__file__), '..'), '..'))
import numpy as np
import pickle
import rando... | code_fim | hard | {
"lang": "python",
"repo": "Enmin/ModellingJointInferenceOfPhysicsAndMind",
"path": "/exec/evaluateNNPriorMCTSNoPhysicsSheepChaseWolf/prepareNoPhysicsNeuralNetDataSheepChaseWolf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> numSimulations = 200
mcts = MCTS(numSimulations, selectChild, expand,
rollout, backup, establishSoftmaxActionDist)
# All agents' policies
def policy(state): return [mcts(state), escapePolicy(state)]
# generate trajectories
maxRunningSteps = 30
numTrials = 5000... | code_fim | hard | {
"lang": "python",
"repo": "Enmin/ModellingJointInferenceOfPhysicsAndMind",
"path": "/exec/evaluateNNPriorMCTSNoPhysicsSheepChaseWolf/prepareNoPhysicsNeuralNetDataSheepChaseWolf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # rollout
rolloutHeuristicWeight = 0
rolloutHeuristic = reward.HeuristicDistanceToTarget(
rolloutHeuristicWeight, getPredatorPos, getPreyPos)
rollout = RollOut(rolloutPolicy, maxRolloutSteps, sheepTransit,
rewardFunction, isTerminal, rolloutHeuristic)
num... | code_fim | hard | {
"lang": "python",
"repo": "Enmin/ModellingJointInferenceOfPhysicsAndMind",
"path": "/exec/evaluateNNPriorMCTSNoPhysicsSheepChaseWolf/prepareNoPhysicsNeuralNetDataSheepChaseWolf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shunsunsun/orso path: /network/lookups.py
from selectable.base import ModelLookup
from selectable.registry import registry
from django.db.models import Q
from . import models
class DistinctStringLookup(ModelLookup):
"""
Return distinct strings for a single CharField in a model
"""
... | code_fim | hard | {
"lang": "python",
"repo": "shunsunsun/orso",
"path": "/network/lookups.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.get_item_value(item)
class AllExpTypeLookup(ExperimentTypeLookup):
def get_query(self, request, term):
return self.get_queryset() \
.order_by('experiment_type__name') \
.distinct('experiment_type__name')
class RecExpTypeLookup(ExperimentTypeLooku... | code_fim | hard | {
"lang": "python",
"repo": "shunsunsun/orso",
"path": "/network/lookups.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> extract_parser = subparsers.add_parser('extract', help='extract important information from a pepxml')
extract_parser.add_argument('--input', dest="input_pepxml", help='pepxml', required=True)
extract_parser.add_argument('--output_dir', dest="output_dir", help="dir for output", required=True)
... | code_fim | hard | {
"lang": "python",
"repo": "kusterlab/MasterSpectrum",
"path": "/bin/MasterSpectrum",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kusterlab/MasterSpectrum path: /bin/MasterSpectrum
#!/usr/bin/env python
from mgf_filter.apl2Mgf import Apl2Mgf
from mgf_filter.util import calculate_Delta_by_ppm
import logging
import time
from mgf_filter.mgfPatcher import MgfPatcher
from mgf_filter.bruteForcePatcher import BruteForcePatcher
fro... | code_fim | hard | {
"lang": "python",
"repo": "kusterlab/MasterSpectrum",
"path": "/bin/MasterSpectrum",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def deleteAminoAcidDeltas(original, out_dir):
file_name = os.path.splitext(os.path.basename(original))[0]
folder_out = timeStamped('noAminoAcidDeltas_' + file_name)
output_dir = out_dir + folder_out
os.makedirs(output_dir)
gps = GeneratorForPerfectSpectra()
gps.generateAminoAcidD... | code_fim | hard | {
"lang": "python",
"repo": "kusterlab/MasterSpectrum",
"path": "/bin/MasterSpectrum",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DjangoLover/gitality path: /scripts/scraper/scraper/settings.py
import os
os.environ['DJANGO_SETTINGS_MODULE'] = 'settings'
<|fim_suffix|>BOT_NAME = 'scraper'
LOG_ENABLED = True
LOG_FILE = "/tmp/scraper.log"
LOG_LEVEL = 'INFO'
BOT_NAME = 'scraper'
SPIDER_MODULES = ['scraper.spiders']
NEWSPIDE... | code_fim | medium | {
"lang": "python",
"repo": "DjangoLover/gitality",
"path": "/scripts/scraper/scraper/settings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>BOT_NAME = 'scraper'
LOG_ENABLED = True
LOG_FILE = "/tmp/scraper.log"
LOG_LEVEL = 'INFO'
BOT_NAME = 'scraper'
SPIDER_MODULES = ['scraper.spiders']
NEWSPIDER_MODULE = 'scraper.spiders'
USER_AGENT = 'Gitality team.'
DOWNLOAD_DELAY = 1
FEED_FORMAT = 'json'
FEED_URI = os.path.join(SCRAPY_ROOT, "scraper/... | code_fim | medium | {
"lang": "python",
"repo": "DjangoLover/gitality",
"path": "/scripts/scraper/scraper/settings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hyperledger-archives/indy-post-install-automation path: /test_scripts/functional_tests/did/signus_key_for_local_did_works_for_my_did_test.py
"""
Created on Jan 13, 2018
@author: nhan.nguyen
Verify that user can get verkey of 'my_did' in local.
"""
import pytest
from indy import did
from utilit... | code_fim | hard | {
"lang": "python",
"repo": "hyperledger-archives/indy-post-install-automation",
"path": "/test_scripts/functional_tests/did/signus_key_for_local_did_works_for_my_did_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 4. Get local verkey of 'my_did' from wallet
# and store it into 'returned_verkey'.
self.steps.add_step("Get local verkey of 'my_did' from wallet and "
"store it into 'returned_verkey'")
returned_verkey = await utils.perform(self.steps,
... | code_fim | hard | {
"lang": "python",
"repo": "hyperledger-archives/indy-post-install-automation",
"path": "/test_scripts/functional_tests/did/signus_key_for_local_did_works_for_my_did_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 5. Check 'returned_verkey'.
self.steps.add_step("Check 'returned_verkey'")
err_msd = "Returned verkey mismatches with stored verkey"
utils.check(self.steps, error_message=err_msd,
condition=lambda: returned_verkey == my_verkey)<|fim_prefix|># repo: hyp... | code_fim | hard | {
"lang": "python",
"repo": "hyperledger-archives/indy-post-install-automation",
"path": "/test_scripts/functional_tests/did/signus_key_for_local_did_works_for_my_did_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WolfGang1710/Figures_diffraction path: /modules/diffraction.py
"""
Title: Projet IPT - Diffraction DI
Description: Ce programme permet de calculer la valeur (couleur)
de chaque point de l'écran. On utlise une méthode
de somme discrète.
"""
#pylint: disable=invalid-name
... | code_fim | medium | {
"lang": "python",
"repo": "WolfGang1710/Figures_diffraction",
"path": "/modules/diffraction.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def diffraction(Fente):
"""Renvoie une matrice représentant une figure de diffraction.
Fente représentante une matrice également (la matrice de la fente).
"""
n = np.shape(Fente)[0] #Dimension de la matrice de la fente
ecran = np.zeros((n, n)) #Création matrice carrée de taille n
... | code_fim | medium | {
"lang": "python",
"repo": "WolfGang1710/Figures_diffraction",
"path": "/modules/diffraction.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pvu1984/cage-challenge-2 path: /CybORG/CybORG/Shared/Actions/MSFActionsFolder/MSFScannerFolder/MSFScanner.py
# Copyright DST Group. Licensed under the MIT license.
from CybORG.Shared.Actions.MSFActionsFolder.MSFAction import MSFAction
from CybORG.Simulator.State import State
class MSFScanner(MS... | code_fim | easy | {
"lang": "python",
"repo": "pvu1984/cage-challenge-2",
"path": "/CybORG/CybORG/Shared/Actions/MSFActionsFolder/MSFScannerFolder/MSFScanner.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> super().__init__(session, agent)
def sim_execute(self, state: State):
pass<|fim_prefix|># repo: pvu1984/cage-challenge-2 path: /CybORG/CybORG/Shared/Actions/MSFActionsFolder/MSFScannerFolder/MSFScanner.py
# Copyright DST Group. Licensed under the MIT license.
from CybORG.Shared.Actio... | code_fim | medium | {
"lang": "python",
"repo": "pvu1984/cage-challenge-2",
"path": "/CybORG/CybORG/Shared/Actions/MSFActionsFolder/MSFScannerFolder/MSFScanner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Issue(models.Model):
description = models.CharField(max_length=100)
owner = models.ForeignKey(User, on_delete=models.SET_NULL)
office = models.ForeignKey(Office, on_delete=models.SET_NULL)<|fim_prefix|># repo: lincolwn/djangorestframework-resource-permissions path: /tests/app/models.py
... | code_fim | medium | {
"lang": "python",
"repo": "lincolwn/djangorestframework-resource-permissions",
"path": "/tests/app/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lincolwn/djangorestframework-resource-permissions path: /tests/app/models.py
from django.db import models
from django.contrib.auth.models import User
<|fim_suffix|>class Issue(models.Model):
description = models.CharField(max_length=100)
owner = models.ForeignKey(User, on_delete=models.... | code_fim | medium | {
"lang": "python",
"repo": "lincolwn/djangorestframework-resource-permissions",
"path": "/tests/app/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: t4d-classes/python_03152021 path: /feature-demos/object_ids.py
# list_a = [1, 2]
# list_b = [1, 2]
# print(id(list_a))
# print(id(list_b))
# tuple_a = (1, 2)
# tuple_b = (1, 3)
# print(id(tuple_a))
# print(id(tuple_b))
# str_a = "hi"
# str_b = "hi"
# print(id(str_a))
# print(id(str_b))
<|... | code_fim | easy | {
"lang": "python",
"repo": "t4d-classes/python_03152021",
"path": "/feature-demos/object_ids.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def func_b():
str_b = "hi"
print(id(str_b))
func_a()
func_b()<|fim_prefix|># repo: t4d-classes/python_03152021 path: /feature-demos/object_ids.py
# list_a = [1, 2]
# list_b = [1, 2]
# print(id(list_a))
# print(id(list_b))
# tuple_a = (1, 2)
# tuple_b = (1, 3)
# print(id(tuple_a))
# print(id... | code_fim | medium | {
"lang": "python",
"repo": "t4d-classes/python_03152021",
"path": "/feature-demos/object_ids.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def func_b():
str_b = "hi"
print(id(str_b))
func_a()
func_b()<|fim_prefix|># repo: t4d-classes/python_03152021 path: /feature-demos/object_ids.py
# list_a = [1, 2]
# list_b = [1, 2]
<|fim_middle|># print(id(list_a))
# print(id(list_b))
# tuple_a = (1, 2)
# tuple_b = (1, 3)
# print(id(tuple... | code_fim | hard | {
"lang": "python",
"repo": "t4d-classes/python_03152021",
"path": "/feature-demos/object_ids.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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