text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> template_name = 'orders/index.html'
queryset = Order.objects.all()
context_object_name = 'order_list'
class OrderCreateView(CreateView):
template_name = 'orders/form.html'
form_class = OrderForm
success_url = '/'<|fim_prefix|># repo: lynx-r/pizza-test path: /apps/orders/views.py... | code_fim | easy | {
"lang": "python",
"repo": "lynx-r/pizza-test",
"path": "/apps/orders/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sh1vam/javes-3.0 path: /ub/javes_main/commands.py
from telethon import events
from var import Var
from pathlib import Path
from ub.config import Config
import re, logging, inspect, sys, json, os
from asyncio import create_subprocess_shell as asyncsubshell, subprocess as asyncsub
from os import re... | code_fim | hard | {
"lang": "python",
"repo": "Sh1vam/javes-3.0",
"path": "/ub/javes_main/commands.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>async def progress(current, total, event, start, type_of_ps, file_name=None):
now = time.time()
diff = now - start
if round(diff % 10.00) == 0 or current == total:
percentage = current * 100 / total
speed = current / diff
elapsed_time = round(diff) * 1000
time_t... | code_fim | hard | {
"lang": "python",
"repo": "Sh1vam/javes-3.0",
"path": "/ub/javes_main/commands.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wtbarnes/micro-scrabble path: /micro_scrabble/__init__.py
import os,sys
import logging
from flask import Flask
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
<|fim_suffix|> app = Flask(__name__)
Bootstrap(app)
return app
logging.basicConfig(level=loggin... | code_fim | medium | {
"lang": "python",
"repo": "wtbarnes/micro-scrabble",
"path": "/micro_scrabble/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> app = Flask(__name__)
Bootstrap(app)
return app
logging.basicConfig(level=logging.DEBUG)
app = create_app()
app.config['WTF_CSRF_ENABLED'] = True
app.config['SECRET_KEY'] = 'you-will-never-guess'
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///' + os.path.join(os.path.dirname(os.path.dirn... | code_fim | medium | {
"lang": "python",
"repo": "wtbarnes/micro-scrabble",
"path": "/micro_scrabble/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: blodvan1/myems path: /myems/migrations/0005_auto_20201119_1419.py
# Generated by Django 3.1.3 on 2020-11-19 06:19
from django.db import migrations, models
<|fim_suffix|> operations = [
migrations.RenameField(
model_name='dg',
old_name='sn',
new_na... | code_fim | hard | {
"lang": "python",
"repo": "blodvan1/myems",
"path": "/myems/migrations/0005_auto_20201119_1419.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('myems', '0004_auto_20201118_1446'),
]
operations = [
migrations.RenameField(
model_name='dg',
old_name='sn',
new_name='id',
),
migrations.AddField(
model_name='dg',
name='code_ean13... | code_fim | hard | {
"lang": "python",
"repo": "blodvan1/myems",
"path": "/myems/migrations/0005_auto_20201119_1419.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.error_log = logzero.setup_logger("gunicorn", **logger_args)<|fim_prefix|># repo: janw/alertmanager-telegram path: /alertmanager_telegram/logging.py
import logging
import os
import logzero
from gunicorn.glogging import Logger
_log_level = os.environ.get("LOG_LEVEL", "info").upper()
log_leve... | code_fim | medium | {
"lang": "python",
"repo": "janw/alertmanager-telegram",
"path": "/alertmanager_telegram/logging.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: janw/alertmanager-telegram path: /alertmanager_telegram/logging.py
import logging
import os
import logzero
from gunicorn.glogging import Logger
<|fim_suffix|> self.error_log = logzero.setup_logger("gunicorn", **logger_args)<|fim_middle|>_log_level = os.environ.get("LOG_LEVEL", "info").up... | code_fim | hard | {
"lang": "python",
"repo": "janw/alertmanager-telegram",
"path": "/alertmanager_telegram/logging.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> super().__init__(cfg)
self.error_log = logzero.setup_logger("gunicorn", **logger_args)<|fim_prefix|># repo: janw/alertmanager-telegram path: /alertmanager_telegram/logging.py
import logging
import os
import logzero
from gunicorn.glogging import Logger
_log_level = os.environ.get("LOG_L... | code_fim | medium | {
"lang": "python",
"repo": "janw/alertmanager-telegram",
"path": "/alertmanager_telegram/logging.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#
# Call sendAlert function
#
emailgen.sendAlert(recipient, subject, text, sender, password)<|fim_prefix|># repo: jsirianni/system-alerts path: /hddtempalert.py
#!/usr/bin/env python3
import os
import subprocess
import emailgen
#
# Header information
#
recipient = input("recipient: ")
sender = input("s... | code_fim | hard | {
"lang": "python",
"repo": "jsirianni/system-alerts",
"path": "/hddtempalert.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jsirianni/system-alerts path: /hddtempalert.py
#!/usr/bin/env python3
import os
import subprocess
import emailgen
#
# Header information
#
recipient = input("recipient: ")
sender = input("sender: ")
password = input("sender password: ")
subject = "hdd temp alert"
#
# Get hdd temp, format for e... | code_fim | medium | {
"lang": "python",
"repo": "jsirianni/system-alerts",
"path": "/hddtempalert.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CaptainChuenthavorn/DATA-STRUCTURE-AND-AlGORITHM path: /lab6_recursive/again.py
def pantip(k, n, arr, path,len):
if len == 0:
if sum(path)==k:
path.reverse()
print(path)
<|fim_suffix|>n-1)
inp = input('Enter Input (Money, Product) : ').split('/')
arr =... | code_fim | medium | {
"lang": "python",
"repo": "CaptainChuenthavorn/DATA-STRUCTURE-AND-AlGORITHM",
"path": "/lab6_recursive/again.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>tip(int(inp[0]), 0, arr, [],len)
print("Krisada can purchase Product: {0} with: {1} Baht | {2} Pattern".format(arr, inp[0], pattern))<|fim_prefix|># repo: CaptainChuenthavorn/DATA-STRUCTURE-AND-AlGORITHM path: /lab6_recursive/again.py
def pantip(k, n, arr, path,len):
if len == 0:
if sum(pa... | code_fim | hard | {
"lang": "python",
"repo": "CaptainChuenthavorn/DATA-STRUCTURE-AND-AlGORITHM",
"path": "/lab6_recursive/again.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __str__(self):
return self.rut
class DetalleVenta(models.Model):
tipo_comprovante = models.CharField(max_length=100)
serie_comprovante = models.CharField(max_length=7)
fecha_comprovante = models.DateField(max_length=100)
iva = models.IntegerField()
total = models.Integ... | code_fim | hard | {
"lang": "python",
"repo": "NicolasFuentemavida/Fundacion_Planta_Corp",
"path": "/app/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> mail = models.CharField(max_length=100)
contraseña = models.CharField(max_length=100)
rut = models.ForeignKey(Cliente, on_delete=models.CASCADE)
def __str__(self):
return self.rut
class DetalleVenta(models.Model):
tipo_comprovante = models.CharField(max_length=100)
serie_... | code_fim | hard | {
"lang": "python",
"repo": "NicolasFuentemavida/Fundacion_Planta_Corp",
"path": "/app/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NicolasFuentemavida/Fundacion_Planta_Corp path: /app/models.py
from django.db import models
from django.db.models.base import Model
# Create your models here.
class Categoria(models.Model):
categoria = models.CharField(max_length=40)
def __str__(self):
return self.categoria
clas... | code_fim | hard | {
"lang": "python",
"repo": "NicolasFuentemavida/Fundacion_Planta_Corp",
"path": "/app/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> @commands.command(name="uuidtoname", aliases=["getgamertag"])
@commands.cooldown(1, 2, commands.BucketType.user)
async def get_gamertag(self, ctx, uuid: str):
response = await self.session.get(f"https://api.mojang.com/user/profiles/{uuid}/names")
if response.status == 204:
... | code_fim | hard | {
"lang": "python",
"repo": "Iapetus-11/Hypixel-Stats",
"path": "/cogs/cmds/basic_mc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kqf/ds-bowl-2018 path: /model/main.py
import time
import click
from contextlib import contextmanager
from pathlib import Path
from model.data import CellsDataset
from model.model import build_model, train_transform, test_transform
from model.vis import plot_cells
@contextmanager
def timer(name)... | code_fim | hard | {
"lang": "python",
"repo": "kqf/ds-bowl-2018",
"path": "/model/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dirs = [p for p in Path(path).iterdir() if p.is_dir()]
dataset = CellsDataset(dirs[:5], transform=train_transform())
plot_cells(*zip(*dataset))
model = build_model(max_epochs=2)
with timer("Train the model"):
model.fit(dataset)
infer(model, dataset, "train")
# Infer ... | code_fim | hard | {
"lang": "python",
"repo": "kqf/ds-bowl-2018",
"path": "/model/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # [batch_size, 3, 256, 32, 32]
x = x.view(batch_size, c_in, self.discrete_channel, height, width)
# [batch_size, 3, 32, 32, 256]
x = x.permute(0, 1, 3, 4, 2)
return x<|fim_prefix|># repo: zh-tan/Game-Music-Generation path: /models.py
import torch.nn as nn
from la... | code_fim | medium | {
"lang": "python",
"repo": "zh-tan/Game-Music-Generation",
"path": "/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zh-tan/Game-Music-Generation path: /models.py
import torch.nn as nn
from layers import maskAConv, MaskBConvBlock
class PixelCNN(nn.Module):
def __init__(self, n_channel=3, h=128, discrete_channel=256):
"""PixelCNN Model"""
super(PixelCNN, self).__init__()
self.discr... | code_fim | hard | {
"lang": "python",
"repo": "zh-tan/Game-Music-Generation",
"path": "/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Args:
x: [batch_size, channel, height, width]
Return:
out [batch_size, channel, height, width, 256]
"""
batch_size, c_in, height, width = x.size()
# [batch_size, 2h, 32, 32]
x = self.MaskAConv(x)
# [batch_size, 2... | code_fim | hard | {
"lang": "python",
"repo": "zh-tan/Game-Music-Generation",
"path": "/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cgao/tax_reform path: /tax_reform.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 5 11:56:41 2017
@author: cgao
"""
from beautifultable import BeautifulTable
#1. 新旧税率Bracket
def tax_calculator(taxable_income, bracket, rate):
bracket2 = bracket[1:]
bracket2.a... | code_fim | hard | {
"lang": "python",
"repo": "cgao/tax_reform",
"path": "/tax_reform.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def ChildCare_Credit_new(taxable_income, child, joint = True):
if joint:
phaseout = round(max(taxable_income - 230000, 0)/20 + 1e-7)
return int(max(0,1600*child - phaseout))
else:
phaseout = round(max(taxable_income - 115000, 0)/20 + 1e-7)
return int(max(0,1600*chi... | code_fim | hard | {
"lang": "python",
"repo": "cgao/tax_reform",
"path": "/tax_reform.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andrewsu31098/ICS-SEARCH-ENGINE-PROJECT path: /searchEngineMain.py
from search import SearchEngine
import tkinter as tk
if __name__ == "__main__":
ghettoGoogle = SearchEngine()
def searchButtonEvent():
<|fim_suffix|> tk.Button(canvas,text="Quit",command=canvas.quit).grid(row=1,colu... | code_fim | hard | {
"lang": "python",
"repo": "andrewsu31098/ICS-SEARCH-ENGINE-PROJECT",
"path": "/searchEngineMain.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> searchTextBox.tag_config('Link',foreground='blue')
for i in range(len(search_results)):
searchTextBox.insert(tk.END,search_results[i][0]+"\n",'Link')
searchTextBox.insert(tk.END,search_results[i][1]+"\n\n")
canvas = tk.Tk()
tk.Label(canvas, ... | code_fim | hard | {
"lang": "python",
"repo": "andrewsu31098/ICS-SEARCH-ENGINE-PROJECT",
"path": "/searchEngineMain.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> scrollBar.config(command=searchTextBox.yview)
searchTextBox.config(yscrollcommand=scrollBar.set)
searchTextBox.tag_config('Link',foreground='blue')
for i in range(len(search_results)):
searchTextBox.insert(tk.END,search_results[i][0]+"\n",'L... | code_fim | hard | {
"lang": "python",
"repo": "andrewsu31098/ICS-SEARCH-ENGINE-PROJECT",
"path": "/searchEngineMain.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: seagull7/DigitalCrafts path: /Python classwork/t_exercises.py
from turtle import *
from shapes import *
#1-
#1.triangle
def eTriangle():
forward(100)
right(120)
forward(100)
right(120)
forward(100)
right(120)
mainloop()
#2.square
def square():
forward(100)
... | code_fim | hard | {
"lang": "python",
"repo": "seagull7/DigitalCrafts",
"path": "/Python classwork/t_exercises.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>right (90)
pendown()
house()
left(180)
forward(200)
left(90)
penup()
forward(100)
right(90)
pendown
door()
penup()
forward(40)
left(90)
forward(50)
pendown()
sidewalk()
right(5)
penup()
forward(200)
right(90)
forward(200)
right(90)
left(40)
pendown()
roof()
penup()
left(90)
forward(75)
left(90)
fo... | code_fim | hard | {
"lang": "python",
"repo": "seagull7/DigitalCrafts",
"path": "/Python classwork/t_exercises.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>bgcolor("skyblue")
right(90)
penup()
forward(100)
right(90)
forward(200)
grass()
right (90)
pendown()
house()
left(180)
forward(200)
left(90)
penup()
forward(100)
right(90)
pendown
door()
penup()
forward(40)
left(90)
forward(50)
pendown()
sidewalk()
right(5)
penup()
forward(200)
right(90)
forward(... | code_fim | hard | {
"lang": "python",
"repo": "seagull7/DigitalCrafts",
"path": "/Python classwork/t_exercises.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def save_images(images, file_pattern, start_idx=1):
for i, image in enumerate(images):
file_path = file_pattern % (start_idx+i)
make_dir(file_path)
image_funcs.save_image(image, file_path)
def main():
optical_flows = compute_optical_flow_tvl1("")
frame_file_pattern =... | code_fim | hard | {
"lang": "python",
"repo": "mrkzwng/TSCN",
"path": "/i3d/preprocess_acnet/extract_flows.py",
"mode": "spm",
"license": "LicenseRef-scancode-generic-cla",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i, image in enumerate(images):
file_path = file_pattern % (start_idx+i)
make_dir(file_path)
image_funcs.save_image(image, file_path)
def main():
optical_flows = compute_optical_flow_tvl1("")
frame_file_pattern = "%05d.jpg"
folder = ""
file_pattern = os.pat... | code_fim | hard | {
"lang": "python",
"repo": "mrkzwng/TSCN",
"path": "/i3d/preprocess_acnet/extract_flows.py",
"mode": "spm",
"license": "LicenseRef-scancode-generic-cla",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mrkzwng/TSCN path: /i3d/preprocess_acnet/extract_flows.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from cv2 import DualTVL1OpticalFlow_create as DualTVL1
from tensorflow.python.platform import flags
import os
import sys
sys.pat... | code_fim | hard | {
"lang": "python",
"repo": "mrkzwng/TSCN",
"path": "/i3d/preprocess_acnet/extract_flows.py",
"mode": "psm",
"license": "LicenseRef-scancode-generic-cla",
"source": "the-stack-v2"
} |
<|fim_suffix|>000011.DFT",
"NAME/N0000012.DFT",
"NAME/N0000013.DFT",
"NAME/N0000020.DFT",
"NAME/N0000021.DFT",
"NAME/N0000022.DFT",
"NAME/N0000029.DFT",
"NAME/N0000030.DFT",
"NAME/N0000031.DFT... | code_fim | hard | {
"lang": "python",
"repo": "MartinThoma/lumixmaptool",
"path": "/tests/utils_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Exawind/nalu-wind path: /reg_tests/check_norms.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Check mean system norm errors in regression tests
This script determines the pass/fail status of a regression test by comparing
the "Mean System Norm" values output at each timestep against "gol... | code_fim | hard | {
"lang": "python",
"repo": "Exawind/nalu-wind",
"path": "/reg_tests/check_norms.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return (test_pass, abs_diff, rel_diff)
def main():
"""Driver function"""
args = parse_arguments()
test_norms = generate_test_norms(args.test_name)
gold_norms = load_norm_file(args.gold_norms)
run_time = get_run_time(args.test_name)
run_time = float(run_time) if run_time else 0... | code_fim | hard | {
"lang": "python",
"repo": "Exawind/nalu-wind",
"path": "/reg_tests/check_norms.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def generate_test_norms(testname):
"""Parse the log file and generate test norms"""
logname = testname + ".log"
norm_name = testname + ".norm"
cmdline = """awk '/Mean System Norm:/ { print $4, $5, $6; }' %s > %s """%(
logname, norm_name)
os.system(cmdline)
args = parse_argu... | code_fim | hard | {
"lang": "python",
"repo": "Exawind/nalu-wind",
"path": "/reg_tests/check_norms.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>class ProductForm(forms.Form):
name = forms.CharField(max_length=100, label='Наименование')
description = forms.CharField(max_length=2000, required=True, label='Описание', widget=forms.Textarea)
category = forms.ChoiceField(required=False, widget=forms.Select, choices=PRODUCT_CATEGORY_CHOICES,... | code_fim | hard | {
"lang": "python",
"repo": "aydarbekov/Product",
"path": "/product/webapp/forms.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aydarbekov/Product path: /product/webapp/forms.py
from django import forms
from django.forms import widgets
# from product.models import PRODUCT_OTHER_CHOICE, PRODUCT_CATEGORY_CHOICES
<|fim_suffix|> name = forms.CharField(max_length=100, label='Наименование')
description = forms.CharField... | code_fim | hard | {
"lang": "python",
"repo": "aydarbekov/Product",
"path": "/product/webapp/forms.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class FindForm(forms.Form):
name = forms.CharField(max_length=100, label='Наименование')<|fim_prefix|># repo: aydarbekov/Product path: /product/webapp/forms.py
from django import forms
from django.forms import widgets
# from product.models import PRODUCT_OTHER_CHOICE, PRODUCT_CATEGORY_CHOICES
PRODUC... | code_fim | hard | {
"lang": "python",
"repo": "aydarbekov/Product",
"path": "/product/webapp/forms.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
print('Question 8')
print('Observe that as long as q > N, the equality holds as the combinatorial term goes to 0')
print('Hence, once N = q, then the equality fails. This occurs for mH(N+1)')
print('The largest N where the equality holds is therefore q')
"""
Question 9
First, we evaluate which sta... | code_fim | hard | {
"lang": "python",
"repo": "Swisk/learning_from_data",
"path": "/HW4.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Swisk/learning_from_data path: /HW4.py
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 5 17:05:12 2018
@author: Shane
"""
import math
import scipy.integrate as integrate
import random
import numpy as np
import sympy as sym
'''
Question 1
plug and play into formula for VC generalization
'''
... | code_fim | hard | {
"lang": "python",
"repo": "Swisk/learning_from_data",
"path": "/HW4.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print('Question 8')
print('Observe that as long as q > N, the equality holds as the combinatorial term goes to 0')
print('Hence, once N = q, then the equality fails. This occurs for mH(N+1)')
print('The largest N where the equality holds is therefore q')
"""
Question 9
First, we evaluate which statemen... | code_fim | hard | {
"lang": "python",
"repo": "Swisk/learning_from_data",
"path": "/HW4.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def back_propagation(self, digit, inputs, target):
hidden_output, output = self.ffnn(digit, inputs)
new_output = []
new_hidden = []
error = sum((output - target) * (output - target) for output, target in zip(output, target)) * 0.5
delta_output = [output... | code_fim | hard | {
"lang": "python",
"repo": "jlozano254/digits",
"path": "/NeuralNetwork.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jlozano254/digits path: /NeuralNetwork.py
import math
import random
import time
import numpy as np
class NeuralNetwork:
digits = [
[
1,1,1,1,1,
1,0,0,0,1,
1,0,0,0,1,
1,0,0,0,1,
1,1,1,1,1
],
[
0,0... | code_fim | hard | {
"lang": "python",
"repo": "jlozano254/digits",
"path": "/NeuralNetwork.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HavenKey/TSception path: /code/train_model.py
from utils import *
import copy
import torch.nn as nn
CUDA = torch.cuda.is_available()
def train_one_epoch(data_loader, net, loss_fn, optimizer):
net.train()
tl = Averager()
pred_train = []
act_train = []
for i, (x... | code_fim | hard | {
"lang": "python",
"repo": "HavenKey/TSception",
"path": "/code/train_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test(args, data, label, reproduce, subject, fold):
seed_all(args.random_seed)
set_up(args)
test_loader = get_dataloader(data, label, args.batch_size, False)
model = get_model(args)
if CUDA:
model = model.cuda()
loss_fn = nn.CrossEntropyLoss()
if repr... | code_fim | hard | {
"lang": "python",
"repo": "HavenKey/TSception",
"path": "/code/train_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> loss_train, pred_train, act_train = train_one_epoch(
data_loader=train_loader, net=model, loss_fn=loss_fn, optimizer=optimizer)
acc_train, f1_train, _ = get_metrics(y_pred=pred_train, y_true=act_train)
print('epoch {}, loss={:.4f} acc={:.4f} f1={:.4f}'
... | code_fim | hard | {
"lang": "python",
"repo": "HavenKey/TSception",
"path": "/code/train_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_marc_fields(self, len_title):
self._get_marc()
if self.marc:
with io.BytesIO(self.marc.encode('utf-8')) as fh:
reader = MARCReader(fh)
for record in reader:
self.record = record
self.title = sel... | code_fim | hard | {
"lang": "python",
"repo": "uoslibraries/findbooks",
"path": "/findbooks/item.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _get_year(self):
date = self.record.pubyear()
if date:
# dates should only have numbers
nums = '1234567890'
new_date = ''
for ch in date:
if ch in nums:
new_date += ch
# dates should hav... | code_fim | hard | {
"lang": "python",
"repo": "uoslibraries/findbooks",
"path": "/findbooks/item.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: uoslibraries/findbooks path: /findbooks/item.py
# -*- coding: utf-8 -*-
import io
import urllib.request
from pymarc import MARCReader
class Item:
"""
Represents an item from our
Library catalogue (https://www-lib.soton.ac.uk)
Usage:
#>>> import findbooks
#>>> it... | code_fim | hard | {
"lang": "python",
"repo": "uoslibraries/findbooks",
"path": "/findbooks/item.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
# At the moment I just wanna test my workspace so it's working tomorrow it's time for the problems
# @lc code=end<|fim_prefix|># repo: cRYP70n-13/Algorithms path: /Leetcoding/14.longest-common-prefix.py
#
# @lc app=leetcode id=14 lang=python3
#
# [14] Longest Common Prefix
#
# ... | code_fim | easy | {
"lang": "python",
"repo": "cRYP70n-13/Algorithms",
"path": "/Leetcoding/14.longest-common-prefix.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cRYP70n-13/Algorithms path: /Leetcoding/14.longest-common-prefix.py
#
# @lc app=leetcode id=14 lang=python3
#
# [14] Longest Common Prefix
#
# @lc code=start
class Solution:
<|fim_suffix|> pass
# At the moment I just wanna test my workspace so it's working tomorrow it's time for the p... | code_fim | easy | {
"lang": "python",
"repo": "cRYP70n-13/Algorithms",
"path": "/Leetcoding/14.longest-common-prefix.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def longestCommonPrefix(self, strs: List[str]) -> str:
pass
# At the moment I just wanna test my workspace so it's working tomorrow it's time for the problems
# @lc code=end<|fim_prefix|># repo: cRYP70n-13/Algorithms path: /Leetcoding/14.longest-common-prefix.py
#
# @lc app=leetc... | code_fim | easy | {
"lang": "python",
"repo": "cRYP70n-13/Algorithms",
"path": "/Leetcoding/14.longest-common-prefix.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gem/oq-mbt path: /mbt/sources.py
import inspect
import re
import openquake.hazardlib.source as oqsrc
# List of valid attributes for an area source
AREAS_ATTRIBUTES = set(['source_id',
'name',
'tectonic_region_type',
'mfd',
'rupture_mesh_spacing',
... | code_fim | hard | {
"lang": "python",
"repo": "gem/oq-mbt",
"path": "/mbt/sources.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> :parameter str source_id:
The ID of the source
:parameter str source_type:
Source type i.e. Object name amongst the ones admitted in the
OpenQuake Hazardlib.
"""
def __init__(self, *args, **kwargs):
# Checks
if len(args):
self.source_id ... | code_fim | hard | {
"lang": "python",
"repo": "gem/oq-mbt",
"path": "/mbt/sources.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chriseal/udacity_data_engineering_nanodegree path: /2data_modeling/L2_relational_data_models/lesson-2-demo-3-creating-fact-and-dimension-tables-with-star-schema.py
#!/usr/bin/env python
# coding: utf-8
# # Lesson 2 Demo 3: Creating Fact and Dimension Tables with Star Schema
#
# <img src="images... | code_fim | hard | {
"lang": "python",
"repo": "chriseal/udacity_data_engineering_nanodegree",
"path": "/2data_modeling/L2_relational_data_models/lesson-2-demo-3-creating-fact-and-dimension-tables-with-star-schema.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
try:
cur.execute("CREATE TABLE IF NOT EXISTS items_purchased (customer_id int, item_number int, item_name varchar);")
except psycopg2.Error as e:
print("Error: Issue creating table")
print (e)
try:
cur.execute("INSERT INTO items_purchased (customer_id, item_number, item_name) ... | code_fim | hard | {
"lang": "python",
"repo": "chriseal/udacity_data_engineering_nanodegree",
"path": "/2data_modeling/L2_relational_data_models/lesson-2-demo-3-creating-fact-and-dimension-tables-with-star-schema.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> Carried value is ignored.
"""
nand_a_b = nand(a, b)
nand_c = nand(nand_a_b, a)
nand_d = nand(nand_a_b, b)
low_a_b = nand(nand_c, nand_d)
nand_low_a_b_c = nand(low_a_b, c)
nand_e = nand(low_a_b, nand_low_a_b_c)
nand_f = nand(nand_low_a_b_c, c)
high = nand(na... | code_fim | medium | {
"lang": "python",
"repo": "M-110/PyPC",
"path": "/pypc/c_basic_arithmetic/arithmetic.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: M-110/PyPC path: /pypc/c_basic_arithmetic/arithmetic.py
from pypc.a_primitives.nand import nand
# nand gates used: 5
def half_adder(a: bool, b: bool) -> (bool, bool):
<|fim_suffix|> Carried value is ignored.
"""
nand_a_b = nand(a, b)
nand_c = nand(nand_a_b, a)
nand_d... | code_fim | hard | {
"lang": "python",
"repo": "M-110/PyPC",
"path": "/pypc/c_basic_arithmetic/arithmetic.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># nand gates used: 9
def full_adder(a: bool, b: bool, c: bool) -> (bool, bool):
"""Returns a + b + c in the form of a tuple of two bools representing the two
bits.
Carried value is ignored.
"""
nand_a_b = nand(a, b)
nand_c = nand(nand_a_b, a)
nand_d = nand(nand_a_... | code_fim | hard | {
"lang": "python",
"repo": "M-110/PyPC",
"path": "/pypc/c_basic_arithmetic/arithmetic.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> ''' Sign up form fetching form the User creation form
and the email and password is necessary not the user '''
class Meta:
model = User
fields = ('email','password1','password2')<|fim_prefix|># repo: tanviredu/DJANGO_ECOMMERCE path: /My_Ecom_Project/App_LOgin/forms.py
fro... | code_fim | medium | {
"lang": "python",
"repo": "tanviredu/DJANGO_ECOMMERCE",
"path": "/My_Ecom_Project/App_LOgin/forms.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tanviredu/DJANGO_ECOMMERCE path: /My_Ecom_Project/App_LOgin/forms.py
from django import forms
from .models import User,Profile
from django.contrib.auth.forms import UserCreationForm
class ProfileForm(forms.ModelForm):
''' Form for the profile '''
class Meta:
model = Profile
... | code_fim | medium | {
"lang": "python",
"repo": "tanviredu/DJANGO_ECOMMERCE",
"path": "/My_Ecom_Project/App_LOgin/forms.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class SignUpForm(UserCreationForm):
''' Sign up form fetching form the User creation form
and the email and password is necessary not the user '''
class Meta:
model = User
fields = ('email','password1','password2')<|fim_prefix|># repo: tanviredu/DJANGO_ECOMMERCE path: /M... | code_fim | medium | {
"lang": "python",
"repo": "tanviredu/DJANGO_ECOMMERCE",
"path": "/My_Ecom_Project/App_LOgin/forms.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vipulgpt10/eid-fall2018 path: /test/test2.py
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'test1.ui'
#
# Created by: PyQt5 UI code generator 5.7
#
# WARNING! All changes made in this file will be lost!
<|fim_suffix|> def setupUi(self, Dialog):
Dialog.s... | code_fim | medium | {
"lang": "python",
"repo": "vipulgpt10/eid-fall2018",
"path": "/test/test2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Ui_Dialog(object):
def setupUi(self, Dialog):
Dialog.setObjectName("Dialog")
Dialog.resize(670, 483)
self.pushButton = QtWidgets.QPushButton(Dialog)
self.pushButton.setGeometry(QtCore.QRect(190, 240, 101, 31))
self.pushButton.setObjectName("pushButton")
... | code_fim | medium | {
"lang": "python",
"repo": "vipulgpt10/eid-fall2018",
"path": "/test/test2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>s/jwm/target', ignore_errors = True)
shutil.rmtree('examples/swt/target', ignore_errors = True)
return 0
if __name__ == '__main__':
sys.exit(main())<|fim_prefix|># repo: JetBrains/skija path: /script/clean.py
#! /usr/bin/env python3
import common, os, shutil, sys
def main():
os.chdir(common.ro... | code_fim | hard | {
"lang": "python",
"repo": "JetBrains/skija",
"path": "/script/clean.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JetBrains/skija path: /script/clean.py
#! /usr/bin/env python3
import common, os, shutil, sys
def main():
os.chdir(common.root)
shutil.rmtree('shared/target', ignore_errors = True)
shutil.rmtree('platform/build', ignore_errors = True)
shutil.rmtree('platform/target', ignore_errors = True... | code_fim | medium | {
"lang": "python",
"repo": "JetBrains/skija",
"path": "/script/clean.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='baby',
name='Auth_Id',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='Asha.BasicDetails'),
),
]<|fim_prefix|># repo: annumalu/ashaworker path: /first review/New fo... | code_fim | medium | {
"lang": "python",
"repo": "annumalu/ashaworker",
"path": "/first review/New folder/Asha_Worker/Asha/migrations/0006_auto_20210325_1917.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: annumalu/ashaworker path: /first review/New folder/Asha_Worker/Asha/migrations/0006_auto_20210325_1917.py
# Generated by Django 3.0.8 on 2021-03-25 13:47
from django.db import migrations, models
import django.db.models.deletion
<|fim_suffix|> operations = [
migrations.AlterFiel... | code_fim | medium | {
"lang": "python",
"repo": "annumalu/ashaworker",
"path": "/first review/New folder/Asha_Worker/Asha/migrations/0006_auto_20210325_1917.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('Asha', '0005_baby'),
]
operations = [
migrations.AlterField(
model_name='baby',
name='Auth_Id',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='Asha.BasicDetails'),
),
]<|fim_... | code_fim | easy | {
"lang": "python",
"repo": "annumalu/ashaworker",
"path": "/first review/New folder/Asha_Worker/Asha/migrations/0006_auto_20210325_1917.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fusion-energy/neutronics-workshop path: /tasks/task_09_CSG_dose_tallies/4_cell_dose_from_photon.py
# This simulation obtains dose on a cylindical disk phantom at various
# distances from a 14MeV photon source. Dose in millisieverts is found
# and compared to the yearly limit
# The model is built... | code_fim | hard | {
"lang": "python",
"repo": "fusion-energy/neutronics-workshop",
"path": "/tasks/task_09_CSG_dose_tallies/4_cell_dose_from_photon.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Instantiate a Settings object
my_settings = openmc.Settings()
my_settings.output = {"tallies": False}
my_settings.batches = 2
my_settings.inactive = 0
my_settings.particles = 500000
my_settings.photon_transport = True
my_settings.run_mode = "fixed source"
# Create a ... | code_fim | hard | {
"lang": "python",
"repo": "fusion-energy/neutronics-workshop",
"path": "/tasks/task_09_CSG_dose_tallies/4_cell_dose_from_photon.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sheikabdullah5/guvi path: /vowelrconsonant.py
sheik=['a','e','i','o','u','A','E','I','O','U']
s=raw_input()
if(s in sheik)<|fim_suffix|>nt('Consonant')
else:
print('invalid')<|fim_middle|>:
print('Vowel')
elif(s!=sheik):
pri | code_fim | easy | {
"lang": "python",
"repo": "sheikabdullah5/guvi",
"path": "/vowelrconsonant.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sheikabdullah5/guvi path: /vowelrconsonant.py
sheik=['a','e','i','o','u','A','E','I'<|fim_suffix|>:
print('Vowel')
elif(s!=sheik):
print('Consonant')
else:
print('invalid')<|fim_middle|>,'O','U']
s=raw_input()
if(s in sheik) | code_fim | easy | {
"lang": "python",
"repo": "sheikabdullah5/guvi",
"path": "/vowelrconsonant.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>nt('Consonant')
else:
print('invalid')<|fim_prefix|># repo: sheikabdullah5/guvi path: /vowelrconsonant.py
sheik=['a','e','i','o','u','A','E','I'<|fim_middle|>,'O','U']
s=raw_input()
if(s in sheik):
print('Vowel')
elif(s!=sheik):
pri | code_fim | medium | {
"lang": "python",
"repo": "sheikabdullah5/guvi",
"path": "/vowelrconsonant.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ianmatheson/craigslist-poll path: /main.py
"""
Created on Fri Aug 4 19:19:31 2017
@author: aw1042
"""
import requests
import threading
import sys
import re
import xml.etree.ElementTree as ET
import smtplib
from credentials import *
argsObj = {}
for arg1, arg2 in zip(sys.argv[:-1], sys.argv[1... | code_fim | hard | {
"lang": "python",
"repo": "ianmatheson/craigslist-poll",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> msg = ''
for post in newPostsArray:
msg += post.title + '\n'
if (post.description):
msg += post.description + '\n'
msg += post.link + '\n \n \n'
toPass = password
server = smtplib.SMTP_SSL()
server.connect("smtp.gmail.com", 465)
server.ehlo()
... | code_fim | hard | {
"lang": "python",
"repo": "ianmatheson/craigslist-poll",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mattasmith/dailyfaces path: /imagecompress.py
''' Compress images '''
from PIL import Image
def resizeImage(image_file):
try:
# get the image's width and height in pixels
img = Image.open(image_file)
width, height = img.size
<|fim_suffix|> if max_dim > 1000:
# resize the image usin... | code_fim | medium | {
"lang": "python",
"repo": "mattasmith/dailyfaces",
"path": "/imagecompress.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # save the resized image to a file
# overwrite existing file
resized_image_file = image_file
resized_image.save(resized_image_file)
#
print("%s resized" % resized_image_file)
except:
print 'Cannot open ' + image_file
# pick an image file you have in the working directory
# (or give... | code_fim | hard | {
"lang": "python",
"repo": "mattasmith/dailyfaces",
"path": "/imagecompress.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class PublishingHouse(models.Model):
house = models.CharField(
"Publishing House",
max_length=40,
blank=False,
null=False
)
history = models.TextField(
"Other books of this house",
max_length=500,
blank=True,
null=True
)
... | code_fim | hard | {
"lang": "python",
"repo": "MargitStar/shop",
"path": "/references/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __str__(self):
return self.genre
class PublishingHouse(models.Model):
house = models.CharField(
"Publishing House",
max_length=40,
blank=False,
null=False
)
history = models.TextField(
"Other books of this house",
max_length=5... | code_fim | hard | {
"lang": "python",
"repo": "MargitStar/shop",
"path": "/references/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MargitStar/shop path: /references/models.py
from django.db import models
class Author(models.Model):
author = models.CharField(
"Author",
max_length=30,
blank=False,
null=False
)
biography = models.TextField(
"About author",
max_lengt... | code_fim | hard | {
"lang": "python",
"repo": "MargitStar/shop",
"path": "/references/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xhdhr10000/captcha-break path: /hjyd/test_actual.py
# coding=utf-8
from __future__ import print_function
import os
import sys
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
basedir = os.getcwd()
os.chdir(os.path.dirname(os.path.abspath(__file__)))
sys.path.append('trainer')
sys.path.append('downloade... | code_fim | hard | {
"lang": "python",
"repo": "xhdhr10000/captcha-break",
"path": "/hjyd/test_actual.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> label = prediction.eval(feed_dict={x: dataset, keep_prob: 1.0}, session=session)[0]
string = ''
for i in range(4):
string += chr(label[i] + ord('0'))
print(string)
if __name__ == "__main__":
if len(sys.argv) <= 1:
captcha = download(1)[0]
else:... | code_fim | hard | {
"lang": "python",
"repo": "xhdhr10000/captcha-break",
"path": "/hjyd/test_actual.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # dataset, labels = gen_dataset(1, templates) # generate one image
dataset = []
dataset.append(np.asarray(im.convert("L")).reshape([30 * 96]) / 255)
label = prediction.eval(feed_dict={x: dataset, keep_prob: 1.0}, session=session)[0]
string = ''
for i in ra... | code_fim | medium | {
"lang": "python",
"repo": "xhdhr10000/captcha-break",
"path": "/hjyd/test_actual.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wachira90/python-configparser path: /app-configparser.py
#!python3
import configparser
parser = configparser.ConfigParser()
<|fim_suffix|>print(parser.get("config", "option1"))
print(parser.get("config", "option2"))
print(parser.get("config", "option3"))<|fim_middle|>parser.read("sim.conf")
| code_fim | easy | {
"lang": "python",
"repo": "wachira90/python-configparser",
"path": "/app-configparser.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(parser.get("config", "option1"))
print(parser.get("config", "option2"))
print(parser.get("config", "option3"))<|fim_prefix|># repo: wachira90/python-configparser path: /app-configparser.py
#!python3
import configparser
parser = configparser.ConfigParser()
<|fim_middle|>parser.read("sim.conf")
| code_fim | easy | {
"lang": "python",
"repo": "wachira90/python-configparser",
"path": "/app-configparser.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>from StringIO import StringIO
from bs4 import BeautifulSoup
import requests
import os
try:
os.mkdir('walls')
except OSError:
pass
page = 1
while True:
page_request = requests.get('http://simpledesktops.com/browse/%s/' % page)
if page_request.status_code != 200:
print 'page %s does not exist' % pag... | code_fim | medium | {
"lang": "python",
"repo": "gistable/gistable",
"path": "/dockerized-gists/2517912/snippet.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>page = 1
while True:
page_request = requests.get('http://simpledesktops.com/browse/%s/' % page)
if page_request.status_code != 200:
print 'page %s does not exist' % page
break
html = BeautifulSoup(page_request.text)
images = html.findAll('img')
for image in images:
img_src = image['src']
if '... | code_fim | medium | {
"lang": "python",
"repo": "gistable/gistable",
"path": "/dockerized-gists/2517912/snippet.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> writer_train = tf.python_io.TFRecordWriter('./data/train.record')
writer_test = tf.python_io.TFRecordWriter('./data/test.record')
filename_list=tf.train.match_filenames_once("./data/annotations/*.xml")
init = (tf.global_variables_initializer(), tf.local_variables_initializer())
se... | code_fim | hard | {
"lang": "python",
"repo": "nheidloff/object-detection-anki-overdrive-cars",
"path": "/volume/create_tfrecord.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>-fA-F][0-9a-fA-F]))+',sys.stdin.read())))<|fim_prefix|># repo: k4ndAr3c/pyth0nS path: /urlsExtract.py
#!/usr/bin/env python
import sys,re
print<|fim_middle|>('\n'.join(re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a | code_fim | medium | {
"lang": "python",
"repo": "k4ndAr3c/pyth0nS",
"path": "/urlsExtract.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: k4ndAr3c/pyth0nS path: /urlsExtract.py
#!/usr/bin/env python
import sys,re
print<|fim_suffix|>zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+',sys.stdin.read())))<|fim_middle|>('\n'.join(re.findall(r'http[s]?://(?:[a- | code_fim | easy | {
"lang": "python",
"repo": "k4ndAr3c/pyth0nS",
"path": "/urlsExtract.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+',sys.stdin.read())))<|fim_prefix|># repo: k4ndAr3c/pyth0nS path: /urlsExtract.py
#!/usr/bin/env python
import sys,re
print<|fim_middle|>('\n'.join(re.findall(r'http[s]?://(?:[a- | code_fim | easy | {
"lang": "python",
"repo": "k4ndAr3c/pyth0nS",
"path": "/urlsExtract.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wenchao5211/Smart-Cutting-using-AWS path: /code/sc-04-video-clip.py
import json
import boto3
import os
import datetime
regionName = os.environ['AWS_REGION']
BUCKET_PATH = os.environ['BUCKET_PATH']
SENSITIVIT = os.environ['SENSITIVIT']
s3_client = boto3.client('s3', region_name=regionName)
ddb_... | code_fim | hard | {
"lang": "python",
"repo": "wenchao5211/Smart-Cutting-using-AWS",
"path": "/code/sc-04-video-clip.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> response = mediaconvert_client.describe_endpoints(Mode='DEFAULT')
mediaURL = response['Endpoints'][0]['Url']
mediaconvert_client = boto3.client('mediaconvert',endpoint_url=mediaURL)
with open("/tmp/job-all.json", "r") as jsonfile:
job_object = json.load(jsonfile)
... | code_fim | hard | {
"lang": "python",
"repo": "wenchao5211/Smart-Cutting-using-AWS",
"path": "/code/sc-04-video-clip.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZachChristensen28/TA-opnsense path: /src/TA-opnsense/bin/ta_opnsense/aob_py3/splunktalib/concurrent/concurrent_executor.py
#
# Copyright 2021 Splunk Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You ma... | code_fim | hard | {
"lang": "python",
"repo": "ZachChristensen28/TA-opnsense",
"path": "/src/TA-opnsense/bin/ta_opnsense/aob_py3/splunktalib/concurrent/concurrent_executor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def run_compute_func_async(self, func, args=(), kwargs={}, callback=None):
"""
:param func: callable
:param args: free params
:param kwargs: named params
:calllback: when func is done and without exception, call the callback
:return whatever the func ret... | code_fim | hard | {
"lang": "python",
"repo": "ZachChristensen28/TA-opnsense",
"path": "/src/TA-opnsense/bin/ta_opnsense/aob_py3/splunktalib/concurrent/concurrent_executor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: awsanand2018/MyCodeFiles path: /parse-csv-file.py
import csv
import os
with open("sample.csv") as rf:
csv_reader=csv.DictReader(rf)
with open("sample1.csv","w") as wf:
csv_headers=['fname','lname','email']
if os.path.isfile('sample1.csv'):
q=input("File ... | code_fim | medium | {
"lang": "python",
"repo": "awsanand2018/MyCodeFiles",
"path": "/parse-csv-file.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
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