text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: bigdae/pangkyogo path: /myapp/migrations/0011_auto_20190724_2331.py
# Generated by Django 2.2.3 on 2019-07-24 23:31
from django.db import migrations
<|fim_suffix|> operations = [
migrations.RemoveField(
model_name='documentconvert',
name='place',
),
... | code_fim | medium | {
"lang": "python",
"repo": "bigdae/pangkyogo",
"path": "/myapp/migrations/0011_auto_20190724_2331.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pygame.init()
screen = pygame.display.set_mode(res, DOUBLEBUF | HWSURFACE | FULLSCREEN)
pygame.display.set_caption(title)
fpsclk = pygame.time.Clock()
last = time.time()
while True:
for event in pygame.event.get():
if event.type == QUIT or (event.type == KEYDO... | code_fim | medium | {
"lang": "python",
"repo": "199ChenNuo/taichi_three",
"path": "/rubbish.bin/pygame_gui.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 199ChenNuo/taichi_three path: /rubbish.bin/pygame_gui.py
import time
import pygame
import taichi as ti
import numpy as np
from pygame.locals import *
def mainloop(res, title, img, render):
dat = ti.Vector.field(3, ti.u8, res[::-1])
@ti.kernel
def export():
for i, j in d... | code_fim | hard | {
"lang": "python",
"repo": "199ChenNuo/taichi_three",
"path": "/rubbish.bin/pygame_gui.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> render()
export()
data = dat.to_numpy()
data = pygame.image.frombuffer(data.tobytes('C'), res, 'RGB')
screen.blit(data, (0, 0))
pygame.display.flip()
fpsclk.tick(60)
t = time.time()
dt = t - last
print(f'({1 / dt:.2f} FPS)')
... | code_fim | hard | {
"lang": "python",
"repo": "199ChenNuo/taichi_three",
"path": "/rubbish.bin/pygame_gui.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # The following methods perform the necessary subset of
# functionality from neutron.api.v2.base.Controller.
#
# REVISIT(rkukura): Can we just use the WSGI Controller? Using
# neutronclient is also a possibility, but presents significant
# issues to unit testing as well as overhea... | code_fim | hard | {
"lang": "python",
"repo": "jiahaoliang/group-based-policy",
"path": "/gbpservice/network/neutronv2/local_api.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jiahaoliang/group-based-policy path: /gbpservice/network/neutronv2/local_api.py
pt in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed unde... | code_fim | hard | {
"lang": "python",
"repo": "jiahaoliang/group-based-policy",
"path": "/gbpservice/network/neutronv2/local_api.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _create_sg(self, plugin_context, attrs):
return self._create_resource(self._core_plugin, plugin_context,
'security_group', attrs)
def _update_sg(self, plugin_context, sg_id, attrs):
return self._update_resource(self._core_plugin, plugin_con... | code_fim | hard | {
"lang": "python",
"repo": "jiahaoliang/group-based-policy",
"path": "/gbpservice/network/neutronv2/local_api.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kungfuai/kaishi path: /kaishi/image/transforms/fix_rotation.py
"""Class definition for fixing image rotation."""
from kaishi.core.pipeline_component import PipelineComponent
from kaishi.image.labelers.generic_convnet import LabelerGenericConvnet
<|fim_suffix|> def __init__(self):
"""... | code_fim | hard | {
"lang": "python",
"repo": "kungfuai/kaishi",
"path": "/kaishi/image/transforms/fix_rotation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param dataset: image dataset to perform operation on
:type dataset: :class:`kaishi.image.dataset.ImageDataset`
"""
if not dataset.labeled:
LabelerGenericConvnet()(dataset)
dataset.labeled = True
for fobj in dataset.files:
if fob... | code_fim | hard | {
"lang": "python",
"repo": "kungfuai/kaishi",
"path": "/kaishi/image/transforms/fix_rotation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for fobj in dataset.files:
if fobj.image is None or fobj.has_label("RECTIFIED"):
continue
if fobj.has_label("ROTATED_RIGHT"):
fobj.rotate(90)
fobj.remove_label("ROTATED_RIGHT")
elif fobj.has_label("ROTATED_LEFT"):
... | code_fim | hard | {
"lang": "python",
"repo": "kungfuai/kaishi",
"path": "/kaishi/image/transforms/fix_rotation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> initialize()
if len(sys.argv) == 1:
led(0)
else:
led(int(sys.argv[1]))
if __name__ == "__main__":
main()<|fim_prefix|># repo: squareturn/hwsup path: /leds.py
#!/usr/bin/python
import RPi.GPIO as GPIO
import sys
LED_RED = 7 # 3 color led on POE HAT
LED_GREEN = 22 # 3 color led on POE HAT
LE... | code_fim | medium | {
"lang": "python",
"repo": "squareturn/hwsup",
"path": "/leds.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def led(value):
GPIO.output(LED_RJ45, value & 8 != 0)
GPIO.output(LED_RED, value & 4 != 0)
GPIO.output(LED_GREEN, value & 2 != 0)
GPIO.output(LED_BLUE, value & 1 != 0)
def main():
initialize()
if len(sys.argv) == 1:
led(0)
else:
led(int(sys.argv[1]))
if __name__ == "__main__":
main()<|fim_pr... | code_fim | medium | {
"lang": "python",
"repo": "squareturn/hwsup",
"path": "/leds.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: squareturn/hwsup path: /leds.py
#!/usr/bin/python
import RPi.GPIO as GPIO
import sys
LED_RED = 7 # 3 color led on POE HAT
LED_GREEN = 22 # 3 color led on POE HAT
LED_BLUE = 9 # 3 color led on POE HAT
LED_RJ45 = 25 # second green led on rj45 connector
<|fim_suffix|>def main():
initiali... | code_fim | hard | {
"lang": "python",
"repo": "squareturn/hwsup",
"path": "/leds.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> jadwalb = JadwalBelajarBareng.objects.all()
context = { 'jadwalb' : jadwalb }
return render(request, 'prioritas_tinggi.html', context)
def prioritas_sedang(request):
jadwalb = JadwalBelajarBareng.objects.all()
context = { 'jadwalb' : jadwalb }
return render(request, 'prioritas_sedang.h... | code_fim | hard | {
"lang": "python",
"repo": "dindadiorra/stu-do-list",
"path": "/jadwal_belajar_bareng/views.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dindadiorra/stu-do-list path: /jadwal_belajar_bareng/views.py
from django.shortcuts import render, redirect
from django.http.response import HttpResponseRedirect
from .models import JadwalBelajarBareng
from .forms import JadwalForm
from django.core import serializers
from django.http.respons... | code_fim | medium | {
"lang": "python",
"repo": "dindadiorra/stu-do-list",
"path": "/jadwal_belajar_bareng/views.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NSYT0607/DONGKEY path: /recruiting/migrations/0004_auto_20180221_0059.py
# Generated by Django 2.0.1 on 2018-02-20 15:59
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='answe... | code_fim | medium | {
"lang": "python",
"repo": "NSYT0607/DONGKEY",
"path": "/recruiting/migrations/0004_auto_20180221_0059.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='answer',
name='long_answer',
field=models.TextField(blank=True, null=True, verbose_name='항목 답변 내용'),
),
migrations.AlterField(
model_name='answer',
name='short_answer',... | code_fim | medium | {
"lang": "python",
"repo": "NSYT0607/DONGKEY",
"path": "/recruiting/migrations/0004_auto_20180221_0059.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thanosvlo/Twin_Causal_Nets path: /Kenyan_train/calc_prob_twin_kenyan.py
preds = model.predict([treatment_factual, treatment_counter, uy_to_input,
conf_to_input],
args.batch_size, 1)
pred_factual = preds[0]
pred_counter = preds[1]
... | code_fim | hard | {
"lang": "python",
"repo": "thanosvlo/Twin_Causal_Nets",
"path": "/Kenyan_train/calc_prob_twin_kenyan.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thanosvlo/Twin_Causal_Nets path: /Kenyan_train/calc_prob_twin_kenyan.py
.metrics import f1_score
import copy
def get_test_confs(dataset, args, treatment_factual=None, mode='test'):
if mode == 'test':
if args.multiple_confounders:
conf_to_input = [dataset.test[i].values.a... | code_fim | hard | {
"lang": "python",
"repo": "thanosvlo/Twin_Causal_Nets",
"path": "/Kenyan_train/calc_prob_twin_kenyan.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> N = 10000
uy_samples = dataset.get_uy_samples(N)
uy_to_input = uy_samples
treatment_factual = np.zeros(N)
treatment_counter = np.ones(N)
conf_to_input = get_test_confs(dataset, args, treatment_factual=treatment_factual, mode='paper_median')
prob_nec_suf_2 = prob_nec_and_suf(... | code_fim | hard | {
"lang": "python",
"repo": "thanosvlo/Twin_Causal_Nets",
"path": "/Kenyan_train/calc_prob_twin_kenyan.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JPETTomography/j-pet-multiphoton-classification path: /RepairingData/repairingData.py
#!/usr/bin/env python3.6
import sys
import math
import random
import pandas as pd
def dataFrameNames():
return [
"x1", # 1 gamma detected x position [cm]
"y1", # 1 gamma detected y positio... | code_fim | hard | {
"lang": "python",
"repo": "JPETTomography/j-pet-multiphoton-classification",
"path": "/RepairingData/repairingData.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return rowCopy
def main(argv):
pathToDataLoad = '/mnt/opt/groups/jpet/NEMA_Image_Quality/3000s/'
# pathToDataLoad = '/home/krzemien/workdir/pet/classification/data/'
pathToDataSave = argv[1]
fileName = 'NEMA_IQ_384str_N0_1000_COINCIDENCES_'
part = argv[2]
print("Processing f... | code_fim | hard | {
"lang": "python",
"repo": "JPETTomography/j-pet-multiphoton-classification",
"path": "/RepairingData/repairingData.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Edinburgh-Genome-Foundry/DnaCauldron path: /examples/lcr_assembly/example_with_assembly_plan.py
import os
import dnacauldron as dc
repo = dc.SequenceRepository()
files = ["RFP_GFP_plasmid_par<|fim_suffix|>preadsheet(path="assembly_plan.csv")
simulation = plan.simulate(repo)
stats = simulation.co... | code_fim | medium | {
"lang": "python",
"repo": "Edinburgh-Genome-Foundry/DnaCauldron",
"path": "/examples/lcr_assembly/example_with_assembly_plan.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>preadsheet(path="assembly_plan.csv")
simulation = plan.simulate(repo)
stats = simulation.compute_stats()
simulation.write_report("output/")
print ("Done! see output/ folder for the results.")<|fim_prefix|># repo: Edinburgh-Genome-Foundry/DnaCauldron path: /examples/lcr_assembly/example_with_assembly_pla... | code_fim | medium | {
"lang": "python",
"repo": "Edinburgh-Genome-Foundry/DnaCauldron",
"path": "/examples/lcr_assembly/example_with_assembly_plan.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Julzpeter/Password-Locker path: /run.py
#!/usr/bin/env python3.7
from user import User,Credentials
def create_user(uname,password):
"""
Function to create a bew user
"""
new_user = User(uname,password)
return new_user
def save_users(user):
"""
Fuction to save user
... | code_fim | hard | {
"lang": "python",
"repo": "Julzpeter/Password-Locker",
"path": "/run.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main():
print("Hello Welcome to Password Locker. What is your name?")
user_name = input()
print(f"Hello {user_name}.")
print('\n')
while True:
print('\n')
print("Use these short codes : cc - create a new user, li -to login ")
short_code = input().lower()... | code_fim | hard | {
"lang": "python",
"repo": "Julzpeter/Password-Locker",
"path": "/run.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> function.satTableDynamicValid = True
function.ui.satTabWidget.setCurrentIndex(0)
function.ui.mainTabWidget.setCurrentIndex(6)
function.ui.listSatelliteNames.setRowCount(0)
function.ui.listSatelliteNames.setColumnCount(2)
function.ui.listSatelliteNames.insertRow(0)
entry = QTabl... | code_fim | hard | {
"lang": "python",
"repo": "mworion/MountWizzard4",
"path": "/tests/unit_tests/gui/mainWmixin2/test_tabSat_Search.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> function.ui.listSatelliteNames.setRowCount(0)
function.ui.listSatelliteNames.setColumnCount(9)
function.ui.listSatelliteNames.insertRow(0)
entry = QTableWidgetItem('sat1')
function.ui.listSatelliteNames.setItem(0, 1, entry)
function.satTableBaseValid = False
function.satTableD... | code_fim | hard | {
"lang": "python",
"repo": "mworion/MountWizzard4",
"path": "/tests/unit_tests/gui/mainWmixin2/test_tabSat_Search.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mworion/MountWizzard4 path: /tests/unit_tests/gui/mainWmixin2/test_tabSat_Search.py
m('test')
function.ui.listSatelliteNames.setItem(0, 0, entry)
with mock.patch.object(QRect,
'intersects',
return_value=False):
with mock.patch.... | code_fim | hard | {
"lang": "python",
"repo": "mworion/MountWizzard4",
"path": "/tests/unit_tests/gui/mainWmixin2/test_tabSat_Search.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nextstrain/ncov path: /scripts/assign_clades.py
#!/usr/bin/env python3
"""
Obsolete: script that assigns clades to sequences based on clade designations in `defaults/clades.tsv`
"""
import numpy as np
import argparse, sys, os
from Bio import AlignIO, SeqIO, Seq, SeqRecord
from Bio.AlignIO import ... | code_fim | hard | {
"lang": "python",
"repo": "nextstrain/ncov",
"path": "/scripts/assign_clades.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> augur_align(aln_args)
alignment = AlignIO.read(out_fname, 'fasta')
else:
done = True
for seq in alignment:
if seq.id==ref.id:
continue
if len(seq.seq)!=len(ref.seq):
import ipdb; ipdb.set_trace()
... | code_fim | hard | {
"lang": "python",
"repo": "nextstrain/ncov",
"path": "/scripts/assign_clades.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ref = SeqIO.read(refname, 'genbank')
clade_designations = read_in_clade_definitions(f"defaults/clades.tsv")
log_fname = "clade_assignment.log"
in_fname = "clade_assignment_tmp.fasta"
out_fname = "clade_assignment_tmp_alignment.fasta"
output = open(args.output, 'w')
print('na... | code_fim | hard | {
"lang": "python",
"repo": "nextstrain/ncov",
"path": "/scripts/assign_clades.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> opts, args = parser.parse_args()
BYTES = opts.bytes
SIZE = opts.size
CONCURRENCY = opts.concurrency
funcs = [launch_green_threads]
if opts.threading:
funcs.append(launch_heavy_threads)
print
print "measuring results for %d iterations..." % opts.tries
print
... | code_fim | hard | {
"lang": "python",
"repo": "inercia/evy",
"path": "/benchmarks/localhost_socket.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: inercia/evy path: /benchmarks/localhost_socket.py
"""
Benchmark evaluating evy's performance at speaking to itself over a localhost socket.
Profiling and graphs
====================
You can profile this program and obtain a call graph with `gprof2dot` and `graphviz`:
```
python -m cProfile -o ... | code_fim | hard | {
"lang": "python",
"repo": "inercia/evy",
"path": "/benchmarks/localhost_socket.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def heavy_accepter (server_sock, pool):
import threading
for i in xrange(CONCURRENCY):
sock, addr = server_sock.accept()
t = threading.Thread(None, reader, "reader thread", (sock,))
t.start()
pool.append(t)
threads = []
server_so... | code_fim | hard | {
"lang": "python",
"repo": "inercia/evy",
"path": "/benchmarks/localhost_socket.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>SQLALCHEMY_TRACK_MODIFICATIONS = False
print("here is : ", APP_DIR, DATABASE_PATH, SQLALCHEMY_DATABASE_URI)
RESET_API_TOKEN = os.path.exists(os.path.join(APP_DIR, 'reset_api_token'))<|fim_prefix|># repo: light-bringer/PatchServer path: /patchserver/config.py
import os
SECRET_KEY = os.urandom(32)
APP_DI... | code_fim | hard | {
"lang": "python",
"repo": "light-bringer/PatchServer",
"path": "/patchserver/config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>DATABASE_PATH = os.path.join(
os.environ.get('DATABASE_DIR', APP_DIR), 'patch_server.db')
if os.name == 'nt':
SQLALCHEMY_DATABASE_URI = r'sqlite:///{}' .format(DATABASE_PATH)
APP_DIR = APP_DIR.replace("\\", "\\\\")
SQLALCHEMY_DATABASE_URI = SQLALCHEMY_DATABASE_URI.replace("\\", "\\\\")
el... | code_fim | medium | {
"lang": "python",
"repo": "light-bringer/PatchServer",
"path": "/patchserver/config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: light-bringer/PatchServer path: /patchserver/config.py
import os
SECRET_KEY = os.urandom(32)
APP_DIR = os.path.dirname(os.path.realpath(__file__))
<|fim_suffix|>if os.name == 'nt':
SQLALCHEMY_DATABASE_URI = r'sqlite:///{}' .format(DATABASE_PATH)
APP_DIR = APP_DIR.replace("\\", "\\\\")
... | code_fim | medium | {
"lang": "python",
"repo": "light-bringer/PatchServer",
"path": "/patchserver/config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @source_id.setter
def source_id(self, value):
self._source_id = value
def to_alipay_dict(self):
params = dict()
if self.apply_note_info:
if hasattr(self.apply_note_info, 'to_alipay_dict'):
params['apply_note_info'] = self.apply_note_info.to... | code_fim | hard | {
"lang": "python",
"repo": "alipay/alipay-sdk-python-all",
"path": "/alipay/aop/api/domain/AlipayCommerceEducateInfoParticipantCertifyModel.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alipay/alipay-sdk-python-all path: /alipay/aop/api/domain/AlipayCommerceEducateInfoParticipantCertifyModel.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.ParticipantInfo import ParticipantInfo
class A... | code_fim | hard | {
"lang": "python",
"repo": "alipay/alipay-sdk-python-all",
"path": "/alipay/aop/api/domain/AlipayCommerceEducateInfoParticipantCertifyModel.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: compserv/hknweb path: /hknweb/candidate/migrations/0005_auto_20220421_0027.py
# Generated by Django 2.2.8 on 2022-04-21 07:27
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('events', '0008_attendan... | code_fim | hard | {
"lang": "python",
"repo": "compserv/hknweb",
"path": "/hknweb/candidate/migrations/0005_auto_20220421_0027.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> migrations.AlterField(
model_name='requirementmergerequirement',
name='grandTotal',
field=models.FloatField(default=0.0, help_text='The grand total points needed from the weighted sum of connected events (only needed for the first node)'),
),
migrations... | code_fim | hard | {
"lang": "python",
"repo": "compserv/hknweb",
"path": "/hknweb/candidate/migrations/0005_auto_20220421_0027.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>erbose_name='ID')),
('enable', models.BooleanField(default=False, help_text='Toggle this entry')),
('multiplier', models.FloatField(default=1)),
('eventType', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='events.EventType')),
... | code_fim | hard | {
"lang": "python",
"repo": "compserv/hknweb",
"path": "/hknweb/candidate/migrations/0005_auto_20220421_0027.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: simuty/python path: /session1/day03/string.py
# encoding=utf8
var1 = 'Hello World!'
var1 = "Python"
# 在 python 中赋值语句总是建立对象的引用值，而不是复制对象。因此，python 变量更像是指针，而不是数据存储区域，
print(var1)
# 三括号注释
var2 = """
>>> a = "asd"
>>> id(a)
4431000496
>>> a = "122"
>>> id(a)
4431000552
"""
print(var2)
<|fim_suffix|>... | code_fim | hard | {
"lang": "python",
"repo": "simuty/python",
"path": "/session1/day03/string.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># 替换
var11 = "aaaa111222hhhjjjkkk"
print(var11.replace("a", "b", 2))
# print(var11.translate())
# translate(table[,deletechars])
# 编码解码
# 编码就是将字符串转换成字节码，涉及到字符串的内部表示。
# 解码就是将字节码转换为字符串，将比特位显示成字符。
var12 = "什么鬼"
print(var12.encode())
print(var12.encode().decode())
'''
b'\xe4\xbb\x80\xe4\xb9\x88\xe9\xac\xb... | code_fim | hard | {
"lang": "python",
"repo": "simuty/python",
"path": "/session1/day03/string.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Vipul-Bajaj/jenkins-tui path: /src/jenkins_tui/views/window_view.py
from __future__ import annotations
from typing import List
from textual import events
from textual import messages
from textual.geometry import Size, SpacingDimensions
from textual.widget import Widget
from textual.view import ... | code_fim | hard | {
"lang": "python",
"repo": "Vipul-Bajaj/jenkins-tui",
"path": "/src/jenkins_tui/views/window_view.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def watch_scroll_x(self, value: int) -> None:
self.layout.require_update()
self.refresh()
async def watch_scroll_y(self, value: int) -> None:
self.layout.require_update()
self.refresh()
async def on_resize(self, event: events.Resize) -> None:
awa... | code_fim | hard | {
"lang": "python",
"repo": "Vipul-Bajaj/jenkins-tui",
"path": "/src/jenkins_tui/views/window_view.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RIAPS/riaps-pycom path: /src/riaps/logger/riaps_log_config_test.py
#!/usr/bin/python3
'''
Script to test app log config file
Created on Oct 20, 2022
Arguments
-f (or --file) FILE : Path to the file that will be used to construct the loggers
@author: riaps
'''
<|fim_suffix|>if __name__ == '__ma... | code_fim | hard | {
"lang": "python",
"repo": "RIAPS/riaps-pycom",
"path": "/src/riaps/logger/riaps_log_config_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if args.spd:
loggers = spdlog_setup.from_file(args.file)
else:
logging.config.fileConfig(args.file)
loggers = logging.root.manager.loggerDict
root_logger = logging.getLogger() # get the root logger
for logger in loggers:
loggers[logger] = loggin... | code_fim | hard | {
"lang": "python",
"repo": "RIAPS/riaps-pycom",
"path": "/src/riaps/logger/riaps_log_config_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: surgical-vision/servcttk path: /servcttk/iotools.py
from pathlib import Path
import numpy as np
import cv2
import os
import errno
import json
def load_subpix_png(path, scale_factor=256.0):
"""load one channel images holding decimal information and stored as 16-bit
pngs and normalize ... | code_fim | hard | {
"lang": "python",
"repo": "surgical-vision/servcttk",
"path": "/servcttk/iotools.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
dataset_root_dir ([pathlib.Path, str]): path to datasets's root directory
"""
root_dir_p = Path(dataset_root_dir)
experiment_dirs = sorted([e for e in root_dir_p.iterdir()])
left_paths=[]
right_paths=[]
occl_paths=[]
disparity_paths=[]
depth_paths=[] ... | code_fim | hard | {
"lang": "python",
"repo": "surgical-vision/servcttk",
"path": "/servcttk/iotools.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: artur-varosyan/crossword-generator path: /src/definition_finder.py
import requests
def find_definition(word):
url = f"https://api.dictionaryapi.dev/api/v2/entries/en_GB/{word}"
response = requests.get(url)
if response.status_code == 404: # if <|fim_suffix|>de == 200: # success
... | code_fim | medium | {
"lang": "python",
"repo": "artur-varosyan/crossword-generator",
"path": "/src/definition_finder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>definition = definitions[0]["definition"]
return definition
else:
# Definition could not be found for the given word
return f"Definition not found, answer: {word}"<|fim_prefix|># repo: artur-varosyan/crossword-generator path: /src/definition_finder.py
import requests
def fin... | code_fim | hard | {
"lang": "python",
"repo": "artur-varosyan/crossword-generator",
"path": "/src/definition_finder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 498143049/FlexFlow path: /python/flexflow/torch/model.py
# Copyright 2020 Stanford University, Los Alamos National Laboratory
#
# 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 Licen... | code_fim | hard | {
"lang": "python",
"repo": "498143049/FlexFlow",
"path": "/python/flexflow/torch/model.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if op_type == OpType.INPUT:
assert len(prev_ops_list) == 0, "wrong format"
self.tensor_dict[op_name] = input_tensors[input_idx]
input_idx += 1
elif op_type == OpType.LINEAR:
assert len(items) == 6, "wrong format"
assert len(prev_ops_list) == 1, "wrong f... | code_fim | hard | {
"lang": "python",
"repo": "498143049/FlexFlow",
"path": "/python/flexflow/torch/model.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lhqing/ALLCools path: /ALLCools/motif/dem.py
import numpy as np
import pandas as pd
from scipy.stats import ranksums
from sklearn.metrics import roc_curve
from statsmodels.stats.multitest import multipletests
def _get_optimal_threshold(scores, labels):
pos_scores = scores > 0
_labels = ... | code_fim | hard | {
"lang": "python",
"repo": "lhqing/ALLCools",
"path": "/ALLCools/motif/dem.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # P-value correction
# noinspection PyUnresolvedReferences
p_value = [w.pvalue for w in wilcox_test]
judge, q_value, *_ = multipletests(p_value, alpha=alpha)
# Motif df
motif_df = pd.DataFrame(
{"log2_fc": log_fc, "q_value": q_value, "mean_fg": mean_fg, "mean_bg": mean_bg... | code_fim | hard | {
"lang": "python",
"repo": "lhqing/ALLCools",
"path": "/ALLCools/motif/dem.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> hypo_motif_hits = pd.DataFrame(
fg_mat[keep_motifs_bool] > motif_hit_thresholds[:, None], index=keep_motifs, columns=hypo_score_df.columns
)
hyper_motif_hits = pd.DataFrame(
bg_mat[keep_motifs_bool] > motif_hit_thresholds[:, None], index=keep_motifs, columns=hyper_score_df.colu... | code_fim | hard | {
"lang": "python",
"repo": "lhqing/ALLCools",
"path": "/ALLCools/motif/dem.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Class describing mikrotik entities."""
icon_enabled: str = ""
icon_disabled: str = ""
ha_group: str = ""
ha_connection: str = ""
ha_connection_value: str = ""
data_path: str = ""
data_attribute: str = "available"
data_name: str = ""
data_name_comment: bool = Fal... | code_fim | hard | {
"lang": "python",
"repo": "tomaae/homeassistant-mikrotik_router",
"path": "/custom_components/mikrotik_router/binary_sensor_types.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
SENSOR_TYPES = {
"system_ups": MikrotikBinarySensorEntityDescription(
key="system_ups",
name="UPS",
icon_enabled="",
icon_disabled="",
device_class=BinarySensorDeviceClass.POWER,
entity_category=EntityCategory.DIAGNOSTIC,
ha_group="System",
... | code_fim | hard | {
"lang": "python",
"repo": "tomaae/homeassistant-mikrotik_router",
"path": "/custom_components/mikrotik_router/binary_sensor_types.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tomaae/homeassistant-mikrotik_router path: /custom_components/mikrotik_router/binary_sensor_types.py
"""Definitions for Mikrotik Router binary sensor entities."""
from dataclasses import dataclass, field
from typing import List
from homeassistant.helpers.device_registry import CONNECTION_NETWORK_... | code_fim | hard | {
"lang": "python",
"repo": "tomaae/homeassistant-mikrotik_router",
"path": "/custom_components/mikrotik_router/binary_sensor_types.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Red-Teapot/mc-commandblock-1.13-update path: /commands/upgrader/commands/gc.py
from commands.pre_1_13.cmdex import CMDEx
from commands.upgrader.utils import command_upgrader_base
from ..utils import selector
CMDEXS = [
CMDEx('gc help'),
CMDEx('gc reload'),
CMDEx('gc fulllevelup {se... | code_fim | hard | {
"lang": "python",
"repo": "Red-Teapot/mc-commandblock-1.13-update",
"path": "/commands/upgrader/commands/gc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> CMDEx('gc fulllevelup {selector:player}'),
CMDEx('gc resetinfo {selector:player}'),
CMDEx('gc getclan {selector:player}'),
CMDEx('gc getguild {selector:player}'),
CMDEx('gc getlevel {selector:player}'),
CMDEx('gc gotoguild {selector:player} {str:guild}'),
CMDEx('gc setclan {s... | code_fim | medium | {
"lang": "python",
"repo": "Red-Teapot/mc-commandblock-1.13-update",
"path": "/commands/upgrader/commands/gc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
"""
pass
class TestGenData(unittest.TestCase):
"""Tests for data generation script."""
def test_run_grid(self):
"""
"""
pass
def test_run_merge(self):
"""
"""
pass
def test_run_ring(self):
"""
... | code_fim | hard | {
"lang": "python",
"repo": "AboudyKreidieh/traffic-autocalibration",
"path": "/tests/fast_tests/test_data_collection.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AboudyKreidieh/traffic-autocalibration path: /tests/fast_tests/test_data_collection.py
import unittest
class TestEnvs(unittest.TestCase):
"""Tests for the environment generation methods."""
def test_grid_env(self):
"""
"""
pass
def test_merge_env(self):
... | code_fim | hard | {
"lang": "python",
"repo": "AboudyKreidieh/traffic-autocalibration",
"path": "/tests/fast_tests/test_data_collection.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_run_ring(self):
"""
"""
pass
if __name__ == '__main__':
unittest.main()<|fim_prefix|># repo: AboudyKreidieh/traffic-autocalibration path: /tests/fast_tests/test_data_collection.py
import unittest
class TestEnvs(unittest.TestCase):
"""Tests for the environm... | code_fim | hard | {
"lang": "python",
"repo": "AboudyKreidieh/traffic-autocalibration",
"path": "/tests/fast_tests/test_data_collection.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def psd(x: np.ndarray, fs: int, zeropadfact: float = 1, wintype=np.hanning):
"""
https://www.mathworks.com/help/signal/ug/psd-estimate-using-fft.html
take 10*log10(Pxx) for [dB/Hz]
"""
nt = x.size
win = wintype(nt)
nfft = int(zeropadfact * nt)
X = np.fft.fft(win * x, nf... | code_fim | hard | {
"lang": "python",
"repo": "scivision/tincanradar",
"path": "/tincanradar/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scivision/tincanradar path: /tincanradar/__init__.py
#!/usr/bin/env python
"""
Computes the min/max FMCW beat frequency expected for a given range vs. sweep time and RF bandwidth
You might consider planning your sweep frequency and beat frequencies to land within the range of a PC sound card, sa... | code_fim | hard | {
"lang": "python",
"repo": "scivision/tincanradar",
"path": "/tincanradar/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def ssq(x: np.ndarray, axis=None):
"""
sum-of-squares
this method is ~10% faster than (abs(x)**2).sum()
"""
x = np.asarray(x)
return (x * x.conj()).real.sum(axis)
def snrest(noisy: np.ndarray, noise: np.ndarray, axis=None):
"""
Computes SNR [in dB] when you have:
... | code_fim | hard | {
"lang": "python",
"repo": "scivision/tincanradar",
"path": "/tincanradar/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brendan-rius/simplefsabstraction path: /tests/test_simpleFS.py
from unittest import TestCase
from simplefsabstraction import SimpleFS
<|fim_suffix|> def test_allowed_extension_fails(self):
self.assertFalse(SimpleFS._check_extension('abc.png', ['jpg']))
def test_allowed_extension... | code_fim | easy | {
"lang": "python",
"repo": "brendan-rius/simplefsabstraction",
"path": "/tests/test_simpleFS.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_allowed_extension_fails(self):
self.assertFalse(SimpleFS._check_extension('abc.png', ['jpg']))
def test_allowed_extension_succeed(self):
self.assertTrue(SimpleFS._check_extension('abc.png', ['png']))<|fim_prefix|># repo: brendan-rius/simplefsabstraction path: /tests/test... | code_fim | easy | {
"lang": "python",
"repo": "brendan-rius/simplefsabstraction",
"path": "/tests/test_simpleFS.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Azure-Samples/ms-identity-python-webapp path: /app_config_b2c.py
import os
b2c_tenant = os.getenv('TENANT_NAME')
signupsignin_user_flow = os.getenv('SIGNUPSIGNIN_USER_FLOW')
editprofile_user_flow = os.getenv('EDITPROFILE_USER_FLOW')
resetpassword_user_flow = os.getenv('RESETPASSWORD_USER_FLOW')... | code_fim | hard | {
"lang": "python",
"repo": "Azure-Samples/ms-identity-python-webapp",
"path": "/app_config_b2c.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Application (client) ID of app registration
CLIENT_ID = os.getenv("CLIENT_ID")
# Application's generated client secret: never check this into source control!
CLIENT_SECRET = os.getenv("CLIENT_SECRET")
AUTHORITY = authority_template.format(tenant=b2c_tenant, user_flow=signupsignin_user_flow)
B2C_PROFILE... | code_fim | medium | {
"lang": "python",
"repo": "Azure-Samples/ms-identity-python-webapp",
"path": "/app_config_b2c.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("pred")
all_dir = os.path.join(predicted_path, "all")
Path(all_dir).mkdir(parents=True, exist_ok=True)
sub = all_pred[name]
print(sub.shape[0])
if name == "train" or name == "valid":
sub = sub[~sub.iloc[:, 0].isin(test_sentences)]
print(sub.shape[0])
path = os... | code_fim | hard | {
"lang": "python",
"repo": "Karexar/gsw_language_model",
"path": "/preprocessing/dialect_lm/split_dialects.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Karexar/gsw_language_model path: /preprocessing/dialect_lm/split_dialects.py
# This scripts performs two split
# The first group the labelled dataset per dialect and split into train, valid,
# and test set.
# The second does the same, but on the predictions from the entire twitter
# module.
### ... | code_fim | hard | {
"lang": "python",
"repo": "Karexar/gsw_language_model",
"path": "/preprocessing/dialect_lm/split_dialects.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kudeh/automate-the-boring-stuff-projects path: /excel-to-csv-converter/excelToCsv.py
#! python3
# excelToCsv.py
# Author: Kene Udeh
# Source: Automate the Boring stuff with python Ch. 14 Project
import os
import csv
import openpyxl
def excelToCsv(folder):
<|fim_suffix|> # Loop thr... | code_fim | hard | {
"lang": "python",
"repo": "kudeh/automate-the-boring-stuff-projects",
"path": "/excel-to-csv-converter/excelToCsv.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for sheetName in wb.get_sheet_names():
# Loop through every sheet in the workbook.
sheet = wb.get_sheet_by_name(sheetName)
# Create the CSV filename from the Excel filename and sheet title.
csvFilename = excelFile.split('.')[0]+'_'+sheet.title+'.csv... | code_fim | hard | {
"lang": "python",
"repo": "kudeh/automate-the-boring-stuff-projects",
"path": "/excel-to-csv-converter/excelToCsv.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>[1] == maior:
print(f'{contador[0]} ',end=' ')
print(f'O menor peso é {menor}, essas pessoas são ',end='')
for contador in lista:
if contador[1] == menor:
print(f'{contador[0]} ',end=' ')<|fim_prefix|># repo: kaio358/Python path: /Mundo3/Lista/Desafio#84.py
pessoa =[]
lista = []
maior... | code_fim | hard | {
"lang": "python",
"repo": "kaio358/Python",
"path": "/Mundo3/Lista/Desafio#84.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kaio358/Python path: /Mundo3/Lista/Desafio#84.py
pessoa =[]
lista = []
maior = menor = 0
continuar = 's'
while continuar not in 'Nn':
pessoa.append(str(input('Informe o nome : ')))
pessoa.append(float(input('Informe o peso : ')))
if maior == <|fim_suffix|>[1] == maior:
print(... | code_fim | hard | {
"lang": "python",
"repo": "kaio358/Python",
"path": "/Mundo3/Lista/Desafio#84.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Python3pkg/Astrodb path: /astrodb/queries.py
# -*- coding: utf-8 -*-
"""
Some stuff to query and populate the database
"""
# python imports
# import decimal
# Scientific imports
import numpy as np
import pandas as pd
from decimal import Decimal
from decimal import getcontext
# Astronomical imp... | code_fim | hard | {
"lang": "python",
"repo": "Python3pkg/Astrodb",
"path": "/astrodb/queries.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def extractdata(id):
temp = {}
# Getting the parameters from the tables.
for key in list(Database.keys()):
val = {}
for attr in Database[key]:
params = []
if attr == 'starid' or attr == 'idstar':
continue
if key == 'Star':
... | code_fim | hard | {
"lang": "python",
"repo": "Python3pkg/Astrodb",
"path": "/astrodb/queries.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RxJellyBot/Jelly-Bot path: /tests/integration/mongodb/results/exctnt.py
from datetime import datetime
from typing import Type
from bson import ObjectId
from django.urls import reverse
from JellyBot.systemconfig import HostUrl
from models import Model, ExtraContentModel
from mongodb.factory.resu... | code_fim | hard | {
"lang": "python",
"repo": "RxJellyBot/Jelly-Bot",
"path": "/tests/integration/mongodb/results/exctnt.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_get_url(self):
oid = ObjectId()
mdl = ExtraContentModel(Content="AAAAA", Timestamp=TestRecordExtraContentResult.TS, ChannelOid=ObjectId())
mdl.set_oid(oid)
r = RecordExtraContentResult(WriteOutcome.O_INSERTED, model=mdl)
self.assertEqual(r.url, f'{HostU... | code_fim | hard | {
"lang": "python",
"repo": "RxJellyBot/Jelly-Bot",
"path": "/tests/integration/mongodb/results/exctnt.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_get_model_id(self):
oid = ObjectId()
mdl = ExtraContentModel(Content="AAAAA", Timestamp=TestRecordExtraContentResult.TS, ChannelOid=ObjectId())
mdl.set_oid(oid)
r = RecordExtraContentResult(WriteOutcome.O_INSERTED, model=mdl)
self.assertEqual(r.model_id... | code_fim | hard | {
"lang": "python",
"repo": "RxJellyBot/Jelly-Bot",
"path": "/tests/integration/mongodb/results/exctnt.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Fetches the dependency if necessary.
:return: The path to the resolved dependency as a string.
"""
# Store the current source in the dependency object
self.dependency.current_source = self.source
# Use the first 6 characters of the SHA1 hash of... | code_fim | medium | {
"lang": "python",
"repo": "steinwurf/waf",
"path": "/src/wurf/http_resolver.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.dependency.filename:
filename = self.dependency.filename
else:
filename = None
file_path = self.url_download.download(
cwd=folder_path, source=self.source, filename=filename
)
assert os.path.isfile(file_path), "We should... | code_fim | hard | {
"lang": "python",
"repo": "steinwurf/waf",
"path": "/src/wurf/http_resolver.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: steinwurf/waf path: /src/wurf/http_resolver.py
#! /usr/bin/env python
# encoding: utf-8
import os
import hashlib
class HttpResolver(object):
"""
Http Resolver functionality. Downloads a file.
"""
def __init__(self, url_download, dependency, source, cwd):
"""Construct ... | code_fim | medium | {
"lang": "python",
"repo": "steinwurf/waf",
"path": "/src/wurf/http_resolver.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MLEveryday/100-Days-Of-ML-Code path: /Code/TestKafka.py
#!/usr/bin/python
from kafka import KafkaConsumer;
kafkaHosts=["kafka01.paas.longfor.sit:9092"
,"kafka02.paas.longfor.sit:9092"
,"kafka03.paas.longfor.sit:9092"]
<|fim_suffix|>consumer.subscribe("testapplog_plm-pr... | code_fim | hard | {
"lang": "python",
"repo": "MLEveryday/100-Days-Of-ML-Code",
"path": "/Code/TestKafka.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>consumer.subscribe("testapplog_plm-prototype");
for msg in consumer:
print(msg.value)<|fim_prefix|># repo: MLEveryday/100-Days-Of-ML-Code path: /Code/TestKafka.py
#!/usr/bin/python
from kafka import KafkaConsumer;
kafkaHosts=["kafka01.paas.longfor.sit:9092"
,"kafka02.paas.longfor.sit:... | code_fim | hard | {
"lang": "python",
"repo": "MLEveryday/100-Days-Of-ML-Code",
"path": "/Code/TestKafka.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wyaadarsh/LeetCode-Solutions path: /Python3/0202-Happy-Number/soln.py
class Solution:
def isHappy(self, n: int) -> bool:
<|fim_suffix|> slow = func(n);
fast = func(func(n));
while slow != fast:
slow = func(slow)
fast = func(func(fast))
if... | code_fim | hard | {
"lang": "python",
"repo": "wyaadarsh/LeetCode-Solutions",
"path": "/Python3/0202-Happy-Number/soln.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> slow = func(n);
fast = func(func(n));
while slow != fast:
slow = func(slow)
fast = func(func(fast))
if slow == 1:
return True
else:
return False<|fim_prefix|># repo: wyaadarsh/LeetCode-Solutions path: /Python3/0202-Ha... | code_fim | hard | {
"lang": "python",
"repo": "wyaadarsh/LeetCode-Solutions",
"path": "/Python3/0202-Happy-Number/soln.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: geiyer/python path: /Module03/environment-model.py
from diagrams import Cluster, Diagram, Edge
from diagrams.aws.compute import EC2, ECS
from diagrams.aws.network import ELB, Route53
from diagrams.aws.database import RDS
<|fim_suffix|>
with Diagram("Environment-Model", show = False, graph_attr= ... | code_fim | medium | {
"lang": "python",
"repo": "geiyer/python",
"path": "/Module03/environment-model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with Cluster("Beta Testing"):
dns = Route53("DNS")
lb = ELB("Load Balancer")
with Cluster("Web Cluster"):
web1 = EC2("Server 1")
web2 = EC2("Server 2")
with Cluster("Database Cluster"):
db_master = RDS("Master")
db_master ... | code_fim | hard | {
"lang": "python",
"repo": "geiyer/python",
"path": "/Module03/environment-model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tekknolagi/pyc-1 path: /lib/bisect.py
def insort_right(a, x, lo=0, hi=0):
a.append(x)
def insort_left(a, x, lo=0, hi=0):
a.append(x)
def insort(a, x, lo=0, hi=0):
a.append(x)
def bisect_right(a, x, lo=0, hi=0):
<|fim_suffix|> return 1
def bisect(a, x, lo=0, hi=0):
return 1<|fi... | code_fim | easy | {
"lang": "python",
"repo": "tekknolagi/pyc-1",
"path": "/lib/bisect.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> a.append(x)
def insort(a, x, lo=0, hi=0):
a.append(x)
def bisect_right(a, x, lo=0, hi=0):
return 1
def bisect_left(a, x, lo=0, hi=0):
return 1
def bisect(a, x, lo=0, hi=0):
return 1<|fim_prefix|># repo: tekknolagi/pyc-1 path: /lib/bisect.py
def insort_right(a, x, lo=0, hi=0):
<|fim_m... | code_fim | easy | {
"lang": "python",
"repo": "tekknolagi/pyc-1",
"path": "/lib/bisect.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tekknolagi/pyc-1 path: /lib/bisect.py
def insort_right(a, x, lo=0, hi=0):
<|fim_suffix|>def bisect_right(a, x, lo=0, hi=0):
return 1
def bisect_left(a, x, lo=0, hi=0):
return 1
def bisect(a, x, lo=0, hi=0):
return 1<|fim_middle|> a.append(x)
def insort_left(a, x, lo=0, hi=0):
a... | code_fim | medium | {
"lang": "python",
"repo": "tekknolagi/pyc-1",
"path": "/lib/bisect.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nstockton/mume-emu path: /terminalsize.py
#!/usr/bin/env python
# This module adapted from:
# https://gist.github.com/1108174.git
import os
import platform
import shlex
import struct
import subprocess
OS_NAME = platform.system()
if OS_NAME == "Windows":
import ctypes
else:
... | code_fim | hard | {
"lang": "python",
"repo": "nstockton/mume-emu",
"path": "/terminalsize.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _get_terminal_size_tput():
"""get terminal width
src: http://stackoverflow.com/questions/263890/how-do-i-find-the-width-height-of-a-terminal-window
"""
try:
cols = int(subprocess.check_call(shlex.split('tput cols')))
rows = int(subprocess.check_call(shlex.split('tput lines')))
return... | code_fim | hard | {
"lang": "python",
"repo": "nstockton/mume-emu",
"path": "/terminalsize.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wuyadie/envpool path: /envpool/atari/atari_envpool_test.py
# Copyright 2021 Garena Online Private Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http:... | code_fim | hard | {
"lang": "python",
"repo": "wuyadie/envpool",
"path": "/envpool/atari/atari_envpool_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_raw_envpool(self) -> None:
conf = dict(
zip(_AtariEnvSpec._config_keys, _AtariEnvSpec._default_config_values)
)
conf["task"] = b"pong"
conf["num_envs"] = num_envs = 3
conf["batch_size"] = batch = 3
conf["num_threads"] = 3 # os.cpu_count()
# conf["episodic_lif... | code_fim | hard | {
"lang": "python",
"repo": "wuyadie/envpool",
"path": "/envpool/atari/atari_envpool_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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