text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> #Check if there is more than 1 result for the given location
locations = Nominatim().geocode(self.address, False)
if len(locations) > 1:
print 'Please enter a more specific location. ie: City and State'
else:
return Nominatim().geocode(self.address).longitude
def time_zone(self):
"""F... | code_fim | medium | {
"lang": "python",
"repo": "SoftwareDevEngResearch/SolarCalcs",
"path": "/SolarCalcs/LocationComponents.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> snake = active_contour(gaussian(img, 3),init, alpha=0.025, beta=10, gamma=0.001)
fig, ax = plt.subplots(figsize=(7, 7))
ax.imshow(img, cmap=plt.cm.gray)
ax.plot(init[:, 1], init[:, 0], '--r', lw=3)
ax.plot(snake[:, 1], snake[:, 0], '-b', lw=3)
ax.set_xticks([]), ax.set_ytick... | code_fim | medium | {
"lang": "python",
"repo": "RumeysaRanaYILMAZ/SimplePhotoEditor",
"path": "/SimplePhotoEditor/contour.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RumeysaRanaYILMAZ/SimplePhotoEditor path: /SimplePhotoEditor/contour.py
import numpy as np
import matplotlib.pyplot as plt
from skimage.color import rgb2gray
from skimage import data
from skimage.filters import gaussian
from skimage.segmentation import active_contour
def cntr():
... | code_fim | hard | {
"lang": "python",
"repo": "RumeysaRanaYILMAZ/SimplePhotoEditor",
"path": "/SimplePhotoEditor/contour.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># 注：socketserver详解
# SocketServer框架式一个基本的socket服务器框架，使用了threading来处理多个客户端的连接，使用seletor模块来处理高并发访问
# SocketServer内部使用IO多路复用以及"多进程"和"多线程"，从而实现并发处理客户端请求
# SocketServer提供5个基本服务类：
# -请求处理类
# - BaseServer 基类，不直接对外服务
# - TCPServer：派生类，针对TCP套接字流
# - UnixStreamServer针对UNIX域套接字，... | code_fim | hard | {
"lang": "python",
"repo": "dujiaojiao/learnNotes",
"path": "/learnPython.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dujiaojiao/learnNotes path: /learnPython.py
:_^11}'.format('hello')
# 二、
# print使用注意：
# 1> 使用关键字输出： print('{name} wrote {book}'.format(name='Swaroop',book='A vyty of python'))
# 2> print会换行，可以通过end指定其应以空白结尾(不换行)
# eg: print('a',end='') print('b',end='') -> ab
# print('a',end=' ') prin... | code_fim | hard | {
"lang": "python",
"repo": "dujiaojiao/learnNotes",
"path": "/learnPython.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Sprite_Image(pygame.sprite.Sprite):
def __init__(self, x, y, pic):
pygame.sprite.Sprite.__init__(self)
self.image = pic
#self.rect = self.image.get_rect()
self.x = x
self.y = y<|fim_prefix|># repo: fudgenuggets1/luck_free_pokemon path: /display.py
impo... | code_fim | hard | {
"lang": "python",
"repo": "fudgenuggets1/luck_free_pokemon",
"path": "/display.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fudgenuggets1/luck_free_pokemon path: /display.py
import pygame
from colors import *
from buttons import Button
class Block(pygame.sprite.Sprite):
def __init__(self, x, y, width, height, color=BLUE):
""" Constructor function """
# Call the parent's constructor
pyga... | code_fim | hard | {
"lang": "python",
"repo": "fudgenuggets1/luck_free_pokemon",
"path": "/display.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def string_features_v2(str):
"""
Version 2: combine the hexal distribution with the previous string statistics.
"""
N = float(len(str))
if N==0: return None
cap = len(re.findall(r'[A-Z]', str))/N
num = len(re.findall(r'[0-9]', str))/N
return string_features_hex(hexalise(str... | code_fim | hard | {
"lang": "python",
"repo": "pj201/cc-domain-graph",
"path": "/pyspark/cc-functions.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pj201/cc-domain-graph path: /pyspark/cc-functions.py
import boto
from boto.s3.key import Key
from gzipstream import GzipStreamFile
from pyspark.sql.types import *
from math import log
from collections import Counter
import warc
import ujson as json
import urlparse
import re
def unpack(uri):
... | code_fim | hard | {
"lang": "python",
"repo": "pj201/cc-domain-graph",
"path": "/pyspark/cc-functions.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>hexabet = [hx(x) for x in range(256)]
def string_features_v1(str):
"""
Coarse first version of a feature vector for a string.
A placeholder for stronger versions.
"""
N = float(len(str))
if N==0: return None
a = len(re.findall(r'/', str))/N
b = len(re.findall(r'\.', str))/... | code_fim | hard | {
"lang": "python",
"repo": "pj201/cc-domain-graph",
"path": "/pyspark/cc-functions.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: snk4tr/sh-utils path: /find_rogue.py
#!/usr/bin/python
# ==================== Python 2 =====================
# Tracks current window focus.
# Useful for finding commands, intercepting control.
# ===================================================
import time
<|fim_suffix|>while True:
time... | code_fim | easy | {
"lang": "python",
"repo": "snk4tr/sh-utils",
"path": "/find_rogue.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>while True:
time.sleep(3)
activeAppName = NSWorkspace.sharedWorkspace().activeApplication()['NSApplicationName']
print activeAppName<|fim_prefix|># repo: snk4tr/sh-utils path: /find_rogue.py
#!/usr/bin/python
# ==================== Python 2 =====================
# Tracks current window focus... | code_fim | easy | {
"lang": "python",
"repo": "snk4tr/sh-utils",
"path": "/find_rogue.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: billowen/MachineLearninginAction path: /ch04/bayes.py
from numpy import *
def loadDataSet():
postingList = [
['my', 'dog', 'has', 'flea', 'problems', 'help', 'please'],
['maybe', 'not', 'take', 'him', 'to', 'dog', 'park', 'stupid'],
['my', 'dalmation', 'is', 'so', 'c... | code_fim | hard | {
"lang": "python",
"repo": "billowen/MachineLearninginAction",
"path": "/ch04/bayes.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> p1 = sum(vec2Classify * p1vec) + log(pclass1)
p0 = sum(vec2Classify * p0vec) + log(1.0 - pclass1)
if p1 > p0:
return 1
else:
return 0
def testNB():
listOfPost, listClass = loadDataSet()
vocabSet = createVocabList(listOfPost)
trainMat = []
for doc in listOf... | code_fim | hard | {
"lang": "python",
"repo": "billowen/MachineLearninginAction",
"path": "/ch04/bayes.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> them? Didn't have any
#What Did I find difficult? figuring out my python math<|fim_prefix|># repo: tkapusniak/PPC---Book-1 path: /PPC-challanges/PPC challange 7\.py
#PPC Challange 7
name = input('What is your name?' )
age = int(input("What is <|fim_middle|>your age? "))
birthday = age + 1
print("So your... | code_fim | medium | {
"lang": "python",
"repo": "tkapusniak/PPC---Book-1",
"path": "/PPC-challanges/PPC challange 7\\.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tkapusniak/PPC---Book-1 path: /PPC-challanges/PPC challange 7\.py
#PPC Challange 7
name = input('What is your name?' )
age = int(input("What is your age? "))
birthday = age + 1
print("So your next birthday you are" birthda<|fim_suffix|> them? Didn't have any
#What Did I find difficult? figuring o... | code_fim | medium | {
"lang": "python",
"repo": "tkapusniak/PPC---Book-1",
"path": "/PPC-challanges/PPC challange 7\\.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hexyo/web-crawler path: /webcrwl.py
import argparse
from bs4 import BeautifulSoup
from memory_profiler import memory_usage
import re
import time
import sqlite3
import sys
from urllib.request import URLError, urlopen
from urllib.error import HTTPError
# Regex for protocol check
regex = re.compile... | code_fim | hard | {
"lang": "python",
"repo": "hexyo/web-crawler",
"path": "/webcrwl.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Catching page
try:
page = urlopen(url)
except (URLError, HTTPError, ValueError, AttributeError):
return False
# Page file parsing
html = BeautifulSoup(page.read(), 'lxml')
return html
# Pages loader function
@runtime
def loader(url):
html = get_page(url)... | code_fim | hard | {
"lang": "python",
"repo": "hexyo/web-crawler",
"path": "/webcrwl.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> cursor.execute("SELECT s.url,s.title FROM suburls s LEFT JOIN urls u ON u.id = s.url_id WHERE u.url = ? LIMIT ?",(url,count))
result = cursor.fetchall()
if not result:
print("This url wasn't load yet or sublinks wasn't found. \nTry webcrwl.py load `url` ")
for row in result:
... | code_fim | hard | {
"lang": "python",
"repo": "hexyo/web-crawler",
"path": "/webcrwl.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def setupUi(self, vmf2obj):
vmf2obj.setObjectName("vmf2obj")
vmf2obj.resize(401, 220)
icon = QtGui.QIcon()
icon.addPixmap(QtGui.QPixmap("icon.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
vmf2obj.setWindowIcon(icon)
sizePolicy = QtWidgets.QSizePolicy(QtWid... | code_fim | hard | {
"lang": "python",
"repo": "R60D/VMF2OBJ-UI",
"path": "/VMF2OBJ_UI.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> _translate = QtCore.QCoreApplication.translate
self.VMF2OBJ_Start.setText(_translate("vmf2obj", "VMF2OBJ"))
self.vmf_button.setText(_translate("vmf2obj", "Vmf"))
self.vmf_text.setPlaceholderText(_translate("vmf2obj", "Your vmf location"))
self.tf2_text.setPlaceholde... | code_fim | hard | {
"lang": "python",
"repo": "R60D/VMF2OBJ-UI",
"path": "/VMF2OBJ_UI.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: R60D/VMF2OBJ-UI path: /VMF2OBJ_UI.py
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'vmf2obj.ui'
#
# Created by: PyQt5 UI code generator 5.13.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtWidgets, QtGui
import subprocess
... | code_fim | hard | {
"lang": "python",
"repo": "R60D/VMF2OBJ-UI",
"path": "/VMF2OBJ_UI.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: devGauravTiwari/blog path: /blog/views.py
from django.shortcuts import render
from django.views.generic import ListView,DetailView
from .models import Post
# Create your views here.
class PostListView(ListView):
<|fim_suffix|> model = Post
template_name = 'blog/detail.html'
context_object_name ... | code_fim | medium | {
"lang": "python",
"repo": "devGauravTiwari/blog",
"path": "/blog/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = Post
template_name = 'blog/detail.html'
context_object_name = 'post'<|fim_prefix|># repo: devGauravTiwari/blog path: /blog/views.py
from django.shortcuts import render
from django.views.generic import ListView,DetailView
from .models import Post
# Create your views here.
class PostListView(Lis... | code_fim | medium | {
"lang": "python",
"repo": "devGauravTiwari/blog",
"path": "/blog/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> except ValueError:
# If JSON from stdin is invalid
sys.stdout.write('{"topic": "' + obj["NAMESPACE"] + '/log", "message": "http-request: error"}' + '\n')
sys.stdout.flush()<|fim_prefix|># repo: flaneurtv/samm path: /examples/test-echo/processor.py
#!/usr/bin/env python
import... | code_fim | hard | {
"lang": "python",
"repo": "flaneurtv/samm",
"path": "/examples/test-echo/processor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: flaneurtv/samm path: /examples/test-echo/processor.py
#!/usr/bin/env python
import sys, json, datetime, string, os, pytz
def time_format(dt):
return "%s:%.3f%s" % (
dt.strftime('%Y-%m-%dT%H:%M'),
float("%.3f" % (dt.second + dt.microsecond / 1e6)),
dt.strftime('%z')
... | code_fim | hard | {
"lang": "python",
"repo": "flaneurtv/samm",
"path": "/examples/test-echo/processor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> clock.tick(REFRESH_RATE)
player_sprite.update(key_pressed)
for players in player_sprite:
players.key_face(event)
player_sprite.update(key_pressed)
pygame.display.update()
running = True
# game over thread
while running:
... | code_fim | hard | {
"lang": "python",
"repo": "ViktorVektor/CPSC100Project",
"path": "/UI/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ViktorVektor/CPSC100Project path: /UI/main.py
# settings
REFRESH_RATE = 60
MAP_ZOOM = 1
FONT = 32
# movement properties
# maybe grab difficulty multiplier here?
PLAYER_SPEED = 100 # * difficulty
TRUE = 1
FALSE = 0
# load map branch
pygame.init()
# grab the map image from the main manu
# from ... | code_fim | hard | {
"lang": "python",
"repo": "ViktorVektor/CPSC100Project",
"path": "/UI/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # text stuffs
title = font.render('Welcome to Sneaky Beaky (the game)', True, BLACK, WHITE)
how_to = font.render('\'P\'for procedural game, \'Enter\' for default game', True, RED, WHITE)
how_to_2 = font.render('CPSC 100 Lab Section L1M', True, RED, WHITE)
made_by = font.render('Made b... | code_fim | hard | {
"lang": "python",
"repo": "ViktorVektor/CPSC100Project",
"path": "/UI/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># buscando info por id
file = XmlFilesIntegration.find_info_by_id('cidades', '1101492')
print(file)
# file = XmlFilesIntegration.read_file('cidades')
# print(file)<|fim_prefix|># repo: BarbaraMoser/Ecommerce-MVC path: /app/models/integrations/xml_files_integration.py
from typing import List
from xml.etr... | code_fim | hard | {
"lang": "python",
"repo": "BarbaraMoser/Ecommerce-MVC",
"path": "/app/models/integrations/xml_files_integration.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# >>>>>>>>>>>>>>>>>>>>>>> EXCECUÇÃO PARA TESTE <<<<<<<<<<<<<<<<<<<<<<<<<
# lendo arquivo xml
# files = XmlFilesIntegration.read_file('cidades', 'cidades', ['Código', 'Nome', 'UF', 'Região', 'País'])
# for file in files:
# print(file)
# buscando info por id
file = XmlFilesIntegration.find_info_by_id(... | code_fim | medium | {
"lang": "python",
"repo": "BarbaraMoser/Ecommerce-MVC",
"path": "/app/models/integrations/xml_files_integration.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BarbaraMoser/Ecommerce-MVC path: /app/models/integrations/xml_files_integration.py
from typing import List
from xml.etree import ElementTree as et
class XmlFilesIntegration:
_INFOS: List = []
@classmethod
def read_file(cls, file_name: str, key_name: str, list_fields: List[str]):
... | code_fim | hard | {
"lang": "python",
"repo": "BarbaraMoser/Ecommerce-MVC",
"path": "/app/models/integrations/xml_files_integration.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: einalex/Neopixel-Controller path: /neopixelcontroller/lib/effects/effect_theater_chase_rainbow.py
from __future__ import print_function
from ..color import Color
from ..effect import Effect
import time
class EffectTheaterChaseRainbow(Effect):
<|fim_suffix|> for i in ... | code_fim | hard | {
"lang": "python",
"repo": "einalex/Neopixel-Controller",
"path": "/neopixelcontroller/lib/effects/effect_theater_chase_rainbow.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(0, self.controller.LEDS, 3):
self.controller.pixel_color(i + j, Color(0, 0, 0))
except AttributeError:
print("[EffectTheaterChaseRainbow][error] An error occurred setting theater chase rainbow to NeoPixel pixels... | code_fim | hard | {
"lang": "python",
"repo": "einalex/Neopixel-Controller",
"path": "/neopixelcontroller/lib/effects/effect_theater_chase_rainbow.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
while self.ITERATE:
for l in range(iterations):
for k in range(256):
for j in range(3):
for i in range(0, self.controller.LEDS, 3):
self.controller.pixel_color(i... | code_fim | hard | {
"lang": "python",
"repo": "einalex/Neopixel-Controller",
"path": "/neopixelcontroller/lib/effects/effect_theater_chase_rainbow.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>din.read()
n = int(input())
summands = optimal_summands(n)
print(len(summands))
for x in summands:
print(x, end=' ')<|fim_prefix|># repo: Desaiakshata/Algorithms-problems path: /greedy_algorithms/5_maximum_number_of_prizes/different_summands.py
# Uses python3
import sys
def optim... | code_fim | medium | {
"lang": "python",
"repo": "Desaiakshata/Algorithms-problems",
"path": "/greedy_algorithms/5_maximum_number_of_prizes/different_summands.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Desaiakshata/Algorithms-problems path: /greedy_algorithms/5_maximum_number_of_prizes/different_summands.py
# Uses python3
import sys
def optimal_summands(n):
summands = []
#write your code here
if n==2:
return [2]
for i i<|fim_suffix|> summands.append(rem)
... | code_fim | medium | {
"lang": "python",
"repo": "Desaiakshata/Algorithms-problems",
"path": "/greedy_algorithms/5_maximum_number_of_prizes/different_summands.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: duzx1/pylark path: /pylark/api_service_drive_wiki_node_create.py
# Code generated by lark_sdk_gen. DO NOT EDIT.
from pylark.lark_request import RawRequestReq, _new_method_option
from pylark import lark_type, lark_type_sheet, lark_type_approval
import attr
import typing
import io
@attr.s
class ... | code_fim | hard | {
"lang": "python",
"repo": "duzx1/pylark",
"path": "/pylark/api_service_drive_wiki_node_create.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return RawRequestReq(
dataclass=CreateWikiNodeResp,
scope="Drive",
api="CreateWikiNode",
method="POST",
url="https://open.feishu.cn/open-apis/wiki/v2/spaces/:space_id/nodes",
body=request,
method_option=_new_method_option(options),
need_t... | code_fim | hard | {
"lang": "python",
"repo": "duzx1/pylark",
"path": "/pylark/api_service_drive_wiki_node_create.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _gen_create_wiki_node_req(request, options) -> RawRequestReq:
return RawRequestReq(
dataclass=CreateWikiNodeResp,
scope="Drive",
api="CreateWikiNode",
method="POST",
url="https://open.feishu.cn/open-apis/wiki/v2/spaces/:space_id/nodes",
body=request... | code_fim | hard | {
"lang": "python",
"repo": "duzx1/pylark",
"path": "/pylark/api_service_drive_wiki_node_create.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@accounts_bp.route('/remove/<account_id>', methods=['POST'])
@login_required
@savjetnik_required
def erase_member(account_id):
if request.method == 'POST':
db = DatabaseController()
if not db.entry_exists(DatabaseTables.KORISNICKI_RACUNI, account_id):
error = 'Neuspješno b... | code_fim | hard | {
"lang": "python",
"repo": "KSET/VolonterskiSati",
"path": "/accounts.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if request.method == 'POST':
db = DatabaseController()
if not db.entry_exists(DatabaseTables.KORISNICKI_RACUNI, account_id):
error = 'Neuspješno brisanje. Zapis ne postoji u bazi.'
flash(error, 'danger')
else:
db.remove_entry(DatabaseTables.K... | code_fim | hard | {
"lang": "python",
"repo": "KSET/VolonterskiSati",
"path": "/accounts.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KSET/VolonterskiSati path: /accounts.py
from flask import (
Blueprint, flash, g, redirect, render_template, request, session, url_for
)
from werkzeug.security import generate_password_hash
from werkzeug.exceptions import HTTPException
from auth import login_required, savjetnik_required, admi... | code_fim | hard | {
"lang": "python",
"repo": "KSET/VolonterskiSati",
"path": "/accounts.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>h('view/', views.view),
path('viewGrades/', views.viewGrades)
]<|fim_prefix|># repo: nevilparmar11/SDP_Online_Assessment_System path: /onlineassessmentsystem/lab/urls.py
from django.urls import path
from . import views
urlpatterns = [
<|fim_middle|> path('', views.list),
path('create/', views... | code_fim | medium | {
"lang": "python",
"repo": "nevilparmar11/SDP_Online_Assessment_System",
"path": "/onlineassessmentsystem/lab/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return [A[l] for l in labels],[clustersizes[l] for l in labels]
if __name__ == "__main__":
A = (random.randn(100,2)*.33+[1,1]).tolist()
A.extend((random.randn(100,2)*.33+[-1,-1]).tolist())
A.extend((random.randn(100,2)*.33+[1,-1]).tolist())
A.extend((random.randn(100,2)*.33+[-1,1]).to... | code_fim | hard | {
"lang": "python",
"repo": "wilseypa/dataAnalysis-scripts",
"path": "/dataGeneration/GeneratorProject/agglomerative.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def agglomerate(A,k,clustersizes=None):
'''
perform agglomerative clustering until label size = k
'''
A = array(A)
grid = affinityMatrix(A)
labels = range(len(grid))
if clustersizes==None: clustersizes = [1.0]*len(grid)
while len(labels) > k:
keeplabel,removelab... | code_fim | hard | {
"lang": "python",
"repo": "wilseypa/dataAnalysis-scripts",
"path": "/dataGeneration/GeneratorProject/agglomerative.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wilseypa/dataAnalysis-scripts path: /dataGeneration/GeneratorProject/agglomerative.py
from numpy import *
def affinity(X,Y):
return sum((X-Y)**2)**.5
def affinityMatrix(A):
arr_len = len(A)
ret = zeros([arr_len,arr_len])
for i in xrange(arr_len):
for j in xrange(i+1,arr_l... | code_fim | hard | {
"lang": "python",
"repo": "wilseypa/dataAnalysis-scripts",
"path": "/dataGeneration/GeneratorProject/agglomerative.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Quickblink/rl-hpo path: /function_predictor.py
import torch
import torch.nn as nn
import torch.nn.functional as F
num_points = 50
mean = torch.zeros((1), device='cuda')
epsilon = torch.eye(num_points, device='cuda') * 1e-6
def make_points(batch_size):
x = torch.rand((batch_size, num_point... | code_fim | hard | {
"lang": "python",
"repo": "Quickblink/rl-hpo",
"path": "/function_predictor.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(episodes):
model.zero_grad()
data = make_points(batch_size)
out = model(data)
loss = F.mse_loss(out, data[1:, :, 1:])
loss.backward()
opt.step()
if i%1000==0:
with torch.no_grad():
print('Epsisode: ',i,'... | code_fim | hard | {
"lang": "python",
"repo": "Quickblink/rl-hpo",
"path": "/function_predictor.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pytorch/pytorch path: /torch/testing/_internal/common_dist_composable.py
# Owner(s): ["oncall: distributed"]
from typing import Tuple
import torch
import torch.nn as nn
class UnitModule(nn.Module):
def __init__(self, device: torch.device):
super().__init__()
self.l1 = nn.L... | code_fim | hard | {
"lang": "python",
"repo": "pytorch/pytorch",
"path": "/torch/testing/_internal/common_dist_composable.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> super().__init__()
self.l = nn.Linear(100, 100, device=device)
self.u1 = UnitModule(device)
self.u2 = UnitModule(device)
self.p = nn.Parameter(torch.randn((100, 100), device=device))
def forward(self, x):
a = self.u2(self.u1(self.l(x)))
b = self... | code_fim | hard | {
"lang": "python",
"repo": "pytorch/pytorch",
"path": "/torch/testing/_internal/common_dist_composable.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mdnahas/carry_trade_paper path: /python_2.7/cull_bonds_Liao.py
#!/usr/bin/python
# division returns float always; use // for integer division
from __future__ import division
from __future__ import print_function
import csv
import sys
import math
import datetime
import calendar
import unittest
f... | code_fim | hard | {
"lang": "python",
"repo": "mdnahas/carry_trade_paper",
"path": "/python_2.7/cull_bonds_Liao.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if issuer not in firms_to_currencies:
firms_to_currencies[issuer] = Set() # set with just this currency
firms_to_currencies[issuer].add( curr )
firms_used = Set()
written_header = False
with open(outfilename, 'wb') as f:
writer = csv.writer(f)
for infilen... | code_fim | hard | {
"lang": "python",
"repo": "mdnahas/carry_trade_paper",
"path": "/python_2.7/cull_bonds_Liao.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Katana-O/regex-learning path: /charcterSets.py
import re
if __name__ == '__main__':
print('main')
# [A-Z] '-' is a metacharacter when used in [] (custom character sets)
charStr = 'Hello, There, How, Are, You 123...'
print(re.findall('[A-Z]', charStr)) # output: ['H', 'T', 'H'... | code_fim | hard | {
"lang": "python",
"repo": "Katana-O/regex-learning",
"path": "/charcterSets.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # '^' means start of the line when use outside of custom bracket, means not when use inside a custom bracket
charStr2 = 'HELLO, There, How, Are, You...'
print(re.search('[^A-Za-z\s,]+', charStr2).group()) # output: ... we negate custom set only outputs "..."
print(re.findall('[^A-Z]+... | code_fim | hard | {
"lang": "python",
"repo": "Katana-O/regex-learning",
"path": "/charcterSets.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('repairs', '0009_remove_repair_vehicle'),
]
operations = [
migrations.AlterField(
model_name='repair',
name='price',
field=models.IntegerField(),
),
]<|fim_prefix|># repo: markostojkov/VehicleInfo path: /proje... | code_fim | easy | {
"lang": "python",
"repo": "markostojkov/VehicleInfo",
"path": "/project/repairs/migrations/0010_auto_20200226_1748.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: markostojkov/VehicleInfo path: /project/repairs/migrations/0010_auto_20200226_1748.py
# Generated by Django 3.0.2 on 2020-02-26 17:48
<|fim_suffix|>
class Migration(migrations.Migration):
dependencies = [
('repairs', '0009_remove_repair_vehicle'),
]
operations = [
m... | code_fim | easy | {
"lang": "python",
"repo": "markostojkov/VehicleInfo",
"path": "/project/repairs/migrations/0010_auto_20200226_1748.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leb2/starcraft-rl path: /parts.py
import tensorflow as tf
def conv_body(state, filters=(32, 16), kernel_sizes=(5, 5), strides=(3, 3), output_size=64):
"""
Assumes the state shape is 3 dimensional. Applies some number of convolution layers, followed by a single
dense layer.
:par... | code_fim | hard | {
"lang": "python",
"repo": "leb2/starcraft-rl",
"path": "/parts.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def actor_spacial_head(features, sizes):
"""
Feed forward network to calculate the spacial action probabilities.
:param features: Tensor of shape [batch_size, num_features] inputs to the spacial_head
:param sizes: List of integer sizes for spacial dimension sizes. Even indices are x dimen... | code_fim | hard | {
"lang": "python",
"repo": "leb2/starcraft-rl",
"path": "/parts.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MarkusvonStaden/blackboard2api path: /image_capturing/green_detection.py
from typing import Optional
from operator import itemgetter
from dataclasses import dataclass
import cv2
import numpy as np
@dataclass
class Blackboard:
image: np.ndarray
contour: Optional[np.ndarray] = None
boa... | code_fim | hard | {
"lang": "python",
"repo": "MarkusvonStaden/blackboard2api",
"path": "/image_capturing/green_detection.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def _create_mask(img, h_min = 50, s_min = 40, v_min = 0, h_max = 100, s_max = 200, v_max = 255, kernel_size = (10,10)):
green_MIN = np.array([h_min, s_min, v_min], np.uint8)
green_MAX = np.array([h_max, s_max, v_max], np.uint8)
mask = cv2.inRange(img, green_MI... | code_fim | hard | {
"lang": "python",
"repo": "MarkusvonStaden/blackboard2api",
"path": "/image_capturing/green_detection.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> contours, hirachy = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
if len(contours) != 0:
c = max(contours, key=cv2.contourArea)
epsilon = 0.015*cv2.arcLength(c, True)
approx = cv2.approxPolyDP(c, epsilon, True)
if len(approx... | code_fim | hard | {
"lang": "python",
"repo": "MarkusvonStaden/blackboard2api",
"path": "/image_capturing/green_detection.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rogozin-high-school/sat_monitoring_system path: /Modules/Control/Control.py
from ..Magnetometer import magnetometer_factory
from ..Magnetorquer import magnetorquerMT
from ..Gyro import gyro_factory
from ..Control import Scale_Convert
from ..Communications.comm2 import *
from threading import Thre... | code_fim | hard | {
"lang": "python",
"repo": "Rogozin-high-school/sat_monitoring_system",
"path": "/Modules/Control/Control.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> global __circle_time
return (time % __circle_time) / __circle_time
'''
'''
def get_angle_vector(angle:int)->numpy.array:
if((angle / 90) % 2 != 1):
angle = math.radians(angle)
x = 1
value = 1 / (math.cos(angle) ** 2)
z = math.sqrt(value - x)
return nump... | code_fim | hard | {
"lang": "python",
"repo": "Rogozin-high-school/sat_monitoring_system",
"path": "/Modules/Control/Control.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: minesvieira/PRC-TrabalhoFinal path: /scripts/SpellsFull.py
# -*- coding: utf-8 -*-
import json
import re
champions = []
champion = ""
# Reading data from the file
with open('../datasets/championFull.json', encoding='utf-8') as f:
data = json.loads(f.read())
nome = ""
dict = {}
dict.update... | code_fim | hard | {
"lang": "python",
"repo": "minesvieira/PRC-TrabalhoFinal",
"path": "/scripts/SpellsFull.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ull'][0: -4])
print(':' + championsInfo[item]['passive']['image']['full'][0: -4] +
' rdf:type owl:NamedIndividual ,')
print(' :Passive ;')
print(' :hasImage :' +
championsInfo[item]['passive']['i... | code_fim | hard | {
"lang": "python",
"repo": "minesvieira/PRC-TrabalhoFinal",
"path": "/scripts/SpellsFull.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>(x_train, y_train), (x_test, y_test) = cifar100.load_data(label_mode='fine')<|fim_prefix|># repo: yungbyun/myml path: /keras/cifar100_small_image.py
# https://keras.io/datasets/
# Dataset of 50,000 32x32 color training images, labeled over 100 categories, and 10,000 test images.
<|fim_middle|>from kera... | code_fim | easy | {
"lang": "python",
"repo": "yungbyun/myml",
"path": "/keras/cifar100_small_image.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yungbyun/myml path: /keras/cifar100_small_image.py
# https://keras.io/datasets/
# Dataset of 50,000 32x32 color training images, labeled over 100 categories, and 10,000 test images.
<|fim_suffix|>(x_train, y_train), (x_test, y_test) = cifar100.load_data(label_mode='fine')<|fim_middle|>from kera... | code_fim | easy | {
"lang": "python",
"repo": "yungbyun/myml",
"path": "/keras/cifar100_small_image.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dpdahal/python7amnew path: /ifstatement.py
# x = 10
# y = 20
#
# if x > y:
# print('x')
#
# else:
# print('y')
<|fim_suffix|>else:
if y > z:
print('y')
else:
print('z')
# if x > y and x > z:
# print('x is large')
# elif y > x and y > z:
# ... | code_fim | medium | {
"lang": "python",
"repo": "dpdahal/python7amnew",
"path": "/ifstatement.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if x > y:
if x > z:
print('x')
else:
print('z')
else:
if y > z:
print('y')
else:
print('z')
# if x > y and x > z:
# print('x is large')
# elif y > x and y > z:
# print('y is large')
# else:
# print('z')<|fim_prefix|># repo: dpd... | code_fim | easy | {
"lang": "python",
"repo": "dpdahal/python7amnew",
"path": "/ifstatement.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: amostalong/XlsToLua-Python path: /XlsToLua.py
#!/usr/bin/python3
import xlrd
import sys
import os
import re
import datetime
import time
import getopt
import argparse
today = datetime.date.today
now = time.strftime("%H:%M:%S")
dirName = time.strftime("%Y%m%d-%H%M%S", time.localtime())
header = ... | code_fim | hard | {
"lang": "python",
"repo": "amostalong/XlsToLua-Python",
"path": "/XlsToLua.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if ok == True:
if newfoloder == True:
fileOutput = open('./' + dirName + '/' + fileName + 'Data.lua.txt', 'w', encoding='utf-8')
else:
fileOutput = open('./' + fileName + 'Data.... | code_fim | hard | {
"lang": "python",
"repo": "amostalong/XlsToLua-Python",
"path": "/XlsToLua.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> portion = os.path.splitext(filename)
ext = portion[1]
if ext == '.xlsx':
finddatasheet = False
print ('找到文件 -> {target} <- ..'.format(target = filename))
workbook = xlrd.open_workbook(filename)
fo... | code_fim | hard | {
"lang": "python",
"repo": "amostalong/XlsToLua-Python",
"path": "/XlsToLua.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # restart at lambda=0
os.rename(inpname_L, tar_i)
qti = qtk.QMRun(tar_i, 'cpmd', inplace=True,
save_restart=True,
maxstep=1, restart=True, **kwargs)
# os.rename(inpname , ref_i)
# qri = qtk.QMRun(ref_i, 'cpmd', inplace=True,
#... | code_fim | hard | {
"lang": "python",
"repo": "SamKChang/qctoolkit",
"path": "/qctoolkit/alchemy/back/aljob.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> cwd = os.getcwd()
qout = qtk.QMRun(inpname, 'cpmd', inplace=True,
restart=True, maxstep=1, **kwargs)
return qout
# not working
def SecondOrderRun(inp, program=qtk.setting.qmcode, **kwargs):
if program == 'cpmd':
inpdir, inpname, psinp, new_run, kwargs\
... | code_fim | hard | {
"lang": "python",
"repo": "SamKChang/qctoolkit",
"path": "/qctoolkit/alchemy/back/aljob.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SamKChang/qctoolkit path: /qctoolkit/alchemy/back/aljob.py
import qctoolkit as qtk
import qctoolkit.QM.qmcode.cpmd as cpmd
from qctoolkit.QM.qmdir import qmDir
import subprocess as sp
import os, re, shutil
import alpath as alp
def ReferenceRun(inp, program=qtk.setting.qmcode, **kwargs):
if pro... | code_fim | hard | {
"lang": "python",
"repo": "SamKChang/qctoolkit",
"path": "/qctoolkit/alchemy/back/aljob.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: karina-klinkeviciute/pyconlt path: /proposals/forms.py
from django import forms
from django.utils.translation import ugettext_lazy as _
from .models.proposal import Proposal
from .models.review import Review
class CFPForm(forms.Form):
title = forms.CharField(
label=_('Title'),
... | code_fim | hard | {
"lang": "python",
"repo": "karina-klinkeviciute/pyconlt",
"path": "/proposals/forms.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
model = Review
fields = ("text", "rating", "status")
class TalksFilterForm(forms.Form):
def __init__(self, *args, **kwargs):
choices = kwargs.pop('choices')
super().__init__(*args, **kwargs)
self.fields['option'].choices = choices
option ... | code_fim | hard | {
"lang": "python",
"repo": "karina-klinkeviciute/pyconlt",
"path": "/proposals/forms.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: griimnak/WhoAlias path: /whoalias/whoalias.py
import asyncio
import sys
from ._cli import build_aliases_array
from .facebook import scrape as fb_scrape
from .github import scrape as gb_scrape
from .google import scrape as go_scrape
from .instagram import scrape as ig_scrape
from .league import s... | code_fim | hard | {
"lang": "python",
"repo": "griimnak/WhoAlias",
"path": "/whoalias/whoalias.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.all_aliases = all_aliases
try:
loop.run_until_complete(self.main())
except Exception as e:
exit(str(e))
finally:
loop.close()
async def main(self):
""" :def main():
Dispatch all tasks then :await: and :retur... | code_fim | hard | {
"lang": "python",
"repo": "griimnak/WhoAlias",
"path": "/whoalias/whoalias.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pranavx8498/scaling_tech path: /scaling techniques .py
#!/usr/bin/env python
# coding: utf-8
# scaling required when we using concepts of eudiean distance or gradient desent
# scaling in not used desion tree's
# In[1]:
import pandas as pd
# In[2]:
df=pd.read_csv('netflix.csv')
# In[3]... | code_fim | hard | {
"lang": "python",
"repo": "pranavx8498/scaling_tech",
"path": "/scaling techniques .py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# In[26]:
y=dff.iloc[:,-1:]
# In[27]:
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
x_train,x_test,y_train,y_test=train_test_split(x,y,train_size=0.2,random_state=2)
# In[28]:
medv=LinearRegression()
# In[29]:
medv.fit(x_train,y_train... | code_fim | hard | {
"lang": "python",
"repo": "pranavx8498/scaling_tech",
"path": "/scaling techniques .py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iqianxing/console.log.api path: /test/test_helloworld.py
import unittest
<|fim_suffix|> assert 'hello, world.'
if __name__ == '__main__':
unittest.main()<|fim_middle|>class TestHelloWorld(unittest.TestCase):
def test_hello(self):
| code_fim | medium | {
"lang": "python",
"repo": "iqianxing/console.log.api",
"path": "/test/test_helloworld.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
unittest.main()<|fim_prefix|># repo: iqianxing/console.log.api path: /test/test_helloworld.py
import unittest
class TestHelloWorld(unittest.TestCase):
def test_hello(self):
<|fim_middle|> assert 'hello, world.'
| code_fim | easy | {
"lang": "python",
"repo": "iqianxing/console.log.api",
"path": "/test/test_helloworld.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iqianxing/console.log.api path: /test/test_helloworld.py
import unittest
class TestHelloWorld(unittest.TestCase):
def test_hello(self):
<|fim_suffix|>if __name__ == '__main__':
unittest.main()<|fim_middle|> assert 'hello, world.'
| code_fim | easy | {
"lang": "python",
"repo": "iqianxing/console.log.api",
"path": "/test/test_helloworld.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
model = Badge
fields = '__all__'<|fim_prefix|># repo: Hir0v0/SNS-API path: /project0001api/badge/serializers.py
from rest_framework import serializers
from .models import Badge
<|fim_middle|>
class BadgeSerializer(serializers.ModelSerializer):
"""Serializer for badges... | code_fim | medium | {
"lang": "python",
"repo": "Hir0v0/SNS-API",
"path": "/project0001api/badge/serializers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = Badge
fields = '__all__'<|fim_prefix|># repo: Hir0v0/SNS-API path: /project0001api/badge/serializers.py
from rest_framework import serializers
from .models import Badge
class BadgeSerializer(serializers.ModelSerializer):
<|fim_middle|> """Serializer for badges"""
class M... | code_fim | easy | {
"lang": "python",
"repo": "Hir0v0/SNS-API",
"path": "/project0001api/badge/serializers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Hir0v0/SNS-API path: /project0001api/badge/serializers.py
from rest_framework import serializers
from .models import Badge
<|fim_suffix|> class Meta:
model = Badge
fields = '__all__'<|fim_middle|>class BadgeSerializer(serializers.ModelSerializer):
"""Serializer for badges... | code_fim | medium | {
"lang": "python",
"repo": "Hir0v0/SNS-API",
"path": "/project0001api/badge/serializers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> income_daily = models.IntegerField(blank=True, null=True) #доходы за день
date_of_day = models.DateField(blank=True, null=True) # текущая дата
pillow_all = models.IntegerField(blank=True, null=True) # подушка безопасности
debts_all = models.IntegerField(blank=True, null=True) # общий... | code_fim | medium | {
"lang": "python",
"repo": "rakssoft/avatar",
"path": "/Base/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> income = models.IntegerField(blank=True, null=True) #доходы
costs = models.IntegerField(blank=True, null=True) #расходы
debts = models.IntegerField(blank=True, null=True) #долги
assets = models.IntegerField(blank=True, null=True) #активы
capital = models.IntegerField(un... | code_fim | medium | {
"lang": "python",
"repo": "rakssoft/avatar",
"path": "/Base/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rakssoft/avatar path: /Base/models.py
from django.db import models
from django.conf import settings
# Create your models here.
class PointA(models.Model):
income = models.IntegerField(blank=True, null=True) #доходы
costs = models.IntegerField(blank=True, null=True) #расходы
... | code_fim | medium | {
"lang": "python",
"repo": "rakssoft/avatar",
"path": "/Base/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># 1등 번호를 출력한다.
print('1등 번호 : ', end = '')
for i in range(0, 6):
print('{0:02d} '.format(lotto[i]), end = '')
# sleep() : 인수로 지정된 시간 만큼 프로그램을 잠깐 멈춘다.
# 시간은 초 단위로 지정한다.
time.sleep(1)
# ============================================
print('뽀나스 : {0:02d}'.format(lotto[6]))<|fim_prefix|>... | code_fim | hard | {
"lang": "python",
"repo": "Ryujongwoo/python1910",
"path": "/1017/06_lottoNumber.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ryujongwoo/python1910 path: /1017/06_lottoNumber.py
import random
import time
# 추첨기를 준비한다.
# 로또 추첨기로 사용할 빈 리스트를 선언한다.
lotto = []
# 추첨기에 1 ~ 45의 공을 넣는다.
for i in range(1, 46):
# print(i)
lotto.append(i)
# ============================================
# print(lotto)
<|fim_su... | code_fim | hard | {
"lang": "python",
"repo": "Ryujongwoo/python1910",
"path": "/1017/06_lottoNumber.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def rename(self, newName):
if not self._isInternal:
raise RuntimeError("Can't rename non-internal child")
if not self.isLoadedToNative():
raise RuntimeError("Entity is't loaded to native")
if self._name == newName:
return True
for chi... | code_fim | hard | {
"lang": "python",
"repo": "lastcolour/GamePractice",
"path": "/Sources/Editor/App/native/EntityNative.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lastcolour/GamePractice path: /Sources/Editor/App/native/EntityNative.py
from .Native import NativeObject
from .LogicNative import CreateLogic
import traceback
def _getUniqueNameForNewChild(entity, entityName):
childEntityName = entityName
isNameUnique = False
idx = 1
while not ... | code_fim | hard | {
"lang": "python",
"repo": "lastcolour/GamePractice",
"path": "/Sources/Editor/App/native/EntityNative.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not self._isInternal:
raise RuntimeError("Can't rename non-internal child")
if not self.isLoadedToNative():
raise RuntimeError("Entity is't loaded to native")
if self._name == newName:
return True
for child in self._parent._children:
... | code_fim | hard | {
"lang": "python",
"repo": "lastcolour/GamePractice",
"path": "/Sources/Editor/App/native/EntityNative.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arthurnovello/linguagens2-2019 path: /flask/DECORATOR/deco.py
import functools
def meu_decorator(f):
@functools.wraps(f)
def processa_f(*args, **kwargs):
print("antes de exec f")
f(*args, **kwargs)
print("depois de exec f")
return processa_f
@meu_decorator
... | code_fim | medium | {
"lang": "python",
"repo": "arthurnovello/linguagens2-2019",
"path": "/flask/DECORATOR/deco.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
minha_funcao()
soma(10, 12)<|fim_prefix|># repo: arthurnovello/linguagens2-2019 path: /flask/DECORATOR/deco.py
import functools
def meu_decorator(f):
@functools.wraps(f)
def processa_f(*args, **kwargs):
print("antes de exec f")
f(*args, **kwar... | code_fim | medium | {
"lang": "python",
"repo": "arthurnovello/linguagens2-2019",
"path": "/flask/DECORATOR/deco.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KirillMysnik/sp-motd-issue-test path: /addons/source-python/plugins/motd_issue_test/motd_issue_test.py
# =============================================================================
# >> IMPORTS
# =============================================================================
# Python
from http.se... | code_fim | hard | {
"lang": "python",
"repo": "KirillMysnik/sp-motd-issue-test",
"path": "/addons/source-python/plugins/motd_issue_test/motd_issue_test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# =============================================================================
# >> LOAD / UNLOAD
# =============================================================================
def load():
global httpd
httpd = HTTPServer(('', HTTPD_PORT), MyHTTPRequestHandler)
Thread(target=httpd.serve_fore... | code_fim | hard | {
"lang": "python",
"repo": "KirillMysnik/sp-motd-issue-test",
"path": "/addons/source-python/plugins/motd_issue_test/motd_issue_test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
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