text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: MTS-Strathclyde/python-mm-scripts path: /scripts_old/mikro_scripts/PythonScripts/fit_fix.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 12 16:38:15 2013
@author: a92549
Fixes lack of / between tzvp and tzvpfit
"""
<|fim_suffix|> for com in argv:
with open(com,... | code_fim | medium | {
"lang": "python",
"repo": "MTS-Strathclyde/python-mm-scripts",
"path": "/scripts_old/mikro_scripts/PythonScripts/fit_fix.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for com in argv:
with open(com, 'rb') as f:
txt = f.read()
if 'tzvp tzvpfit' in txt:
parts = txt.split('tzvp tzvpfit',1)
new_txt = parts[0] + 'tzvp/tzvpfit' + parts[1]
with open(com, 'wb') as f:
f.write(new_txt)
el... | code_fim | medium | {
"lang": "python",
"repo": "MTS-Strathclyde/python-mm-scripts",
"path": "/scripts_old/mikro_scripts/PythonScripts/fit_fix.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AlexeyBond/old-python-game-fwk path: /util/test_rect.py
# coding=UTF-8
from unittest import TestCase
from fwk.util.rect import Rect
class RectSizeTest(TestCase):
def test_sizes_from_coords(self):
rect = Rect(top=33,bottom=22,left=10,right=20)
self.assertEqual(rect.width,10)
self.assertEq... | code_fim | hard | {
"lang": "python",
"repo": "AlexeyBond/old-python-game-fwk",
"path": "/util/test_rect.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_inset_with_underflow(self):
self.rect.inset(51)
self.assertEqual(self.rect.bottom,150)
self.assertEqual(self.rect.height,0)
self.assertEqual(self.rect.left,15)
self.assertEqual(self.rect.width,0)
class RectCloneAndMagic(TestCase):
def test_clone_and_compare(self):
rect1 = Rect(left... | code_fim | hard | {
"lang": "python",
"repo": "AlexeyBond/old-python-game-fwk",
"path": "/util/test_rect.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@_Proveedor.route('/deleteP/<string:id>',methods=['GET','POST'])
def deleteP(id=None):
dlTP = Proveedor.query.filter_by(CI=id).first()
db.session.delete(dlTP)
db.session.commit()
return redirect(url_for('Proveedor.listaP'))
@_Proveedor.route("/modalP")
def modalP():
frm = form.Fr_Pr... | code_fim | hard | {
"lang": "python",
"repo": "bmiomi/Web",
"path": "/App/Modulos/Proveedor/controllers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bmiomi/Web path: /App/Modulos/Proveedor/controllers.py
#Importacion de Dependencias Flask
from flask import Blueprint,Flask, render_template, request,redirect,url_for,flash
#modelado de basedato.
from App import db
# Importacion de modulo de ModeloCliente
from App.Modulos.Proveedor.model import P... | code_fim | hard | {
"lang": "python",
"repo": "bmiomi/Web",
"path": "/App/Modulos/Proveedor/controllers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if client is None:
client = memcache.Client()
self.client = client
self.prefix = prefix
def open_session(self, app, request):
sid = request.args.get("sessionid", None) or request.cookies.get(app.session_cookie_name)
if not sid:
sid = sel... | code_fim | hard | {
"lang": "python",
"repo": "allan852/xiaoli",
"path": "/xiaoli/extensions/memcache_session.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: allan852/xiaoli path: /xiaoli/extensions/memcache_session.py
# encoding = utf-8
"""
A flask session memcached store
"""
from datetime import timedelta, datetime
from uuid import uuid4
__author__ = 'zou'
import memcache
import pickle
from flask.sessions import SessionMixin, SessionInterface
from ... | code_fim | hard | {
"lang": "python",
"repo": "allan852/xiaoli",
"path": "/xiaoli/extensions/memcache_session.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: snlnrush/python-basics-and-application path: /3.3-task-2.py
"""
Вам дана последовательность строк.
В каждой строке замените все вхождения нескольких одинаковых букв на одну букву.
Буквой считается символ из группы \w.
Sample Input:
attraction
buzzzz
Sample Output:
<|fim_suffix|>for word in stdi... | code_fim | easy | {
"lang": "python",
"repo": "snlnrush/python-basics-and-application",
"path": "/3.3-task-2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>atraction
buz
"""
from sys import stdin
import re
for word in stdin:
lst_in = word
match = re.finditer(r'(\w)\1+', lst_in)
for item in match:
lst_in = lst_in.replace(item[0], item[0][0])
print(lst_in, end='')<|fim_prefix|># repo: snlnrush/python-basics-and-application path: /3.3-... | code_fim | easy | {
"lang": "python",
"repo": "snlnrush/python-basics-and-application",
"path": "/3.3-task-2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for word in stdin:
lst_in = word
match = re.finditer(r'(\w)\1+', lst_in)
for item in match:
lst_in = lst_in.replace(item[0], item[0][0])
print(lst_in, end='')<|fim_prefix|># repo: snlnrush/python-basics-and-application path: /3.3-task-2.py
"""
Вам дана последовательность строк.
В ... | code_fim | medium | {
"lang": "python",
"repo": "snlnrush/python-basics-and-application",
"path": "/3.3-task-2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: raj2sudha1/pentest_python_training path: /4/basic_sniffer.py
import socket
# Packet Sniffing
# It's All Binary
<|fim_suffix|># make sure that the IP header is included
sniffer.setsockopt(socket.IPPROTO_IP,socket.IP_HDRINCL,1)
print 'sniffer is listening for incomming connections'
# get a sing... | code_fim | hard | {
"lang": "python",
"repo": "raj2sudha1/pentest_python_training",
"path": "/4/basic_sniffer.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print 'sniffer is listening for incomming connections'
# get a single packet
print sniffer.recvfrom(65535)<|fim_prefix|># repo: raj2sudha1/pentest_python_training path: /4/basic_sniffer.py
import socket
# Packet Sniffing
# It's All Binary
# Usage: python basic_sniffer.py
<|fim_middle|># create the s... | code_fim | hard | {
"lang": "python",
"repo": "raj2sudha1/pentest_python_training",
"path": "/4/basic_sniffer.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># get a single packet
print sniffer.recvfrom(65535)<|fim_prefix|># repo: raj2sudha1/pentest_python_training path: /4/basic_sniffer.py
import socket
# Packet Sniffing
# It's All Binary
# Usage: python basic_sniffer.py
# create the sniffer raw socket object
sniffer = socket.socket(socket.AF_INET,socket... | code_fim | medium | {
"lang": "python",
"repo": "raj2sudha1/pentest_python_training",
"path": "/4/basic_sniffer.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> rows, columns = len(grid), len(grid[0])
queue = [((i, j), 0)]
directions = [[0, 1], [0, -1], [1, 0], [-1, 0]]
visited = [[-1 for _ in range(columns)] for _ in range(rows)]
while queue:
(x, y), step = queue.pop()
visited[x][y] = step
for direction in directions:
... | code_fim | hard | {
"lang": "python",
"repo": "smartinsert/CodingProblem",
"path": "/amazon/treasure_island_with_entry.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not len(grid) or not len(grid[0]):
return -1
minimum_steps = math.inf
for i in range(len(grid)):
for j in range(len(grid[i])):
if grid[i][j] == 'S':
minimum_steps = min(minimum_steps, find_treasure_util(grid, i, j))
return minimum_steps
if _... | code_fim | hard | {
"lang": "python",
"repo": "smartinsert/CodingProblem",
"path": "/amazon/treasure_island_with_entry.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smartinsert/CodingProblem path: /amazon/treasure_island_with_entry.py
"""
You have a map that marks the locations of treasure islands. Some of the map area has jagged rocks and dangerous reefs.
Other areas are safe to sail in. There are other explorers trying to find the treasure.
So you must fig... | code_fim | hard | {
"lang": "python",
"repo": "smartinsert/CodingProblem",
"path": "/amazon/treasure_island_with_entry.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in l:
card[i-a]+=1
for j in v:
if ((j>=a)&(j<=b)):
print(card[j-a],end = " ")
else:
print(0, end = " ")<|fim_prefix|># repo: redlion0929/baekjoon---2020-winter path: /class2/10816.py
import sys
n = int(sys.stdin.readline().rstrip())
l = list(map(int,sys.stdin.readline()... | code_fim | medium | {
"lang": "python",
"repo": "redlion0929/baekjoon---2020-winter",
"path": "/class2/10816.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: redlion0929/baekjoon---2020-winter path: /class2/10816.py
import sys
n = int(sys.stdin.readline().rstrip())
l = list(map(int,sys.stdin.readline().rstrip().split()))
m = int(sys.stdin.readline().rstrip())
v = list(map(int,sys.stdin.readline().rstrip().split()))
card = [0] * (max(l)-min(l)+1)
<|... | code_fim | easy | {
"lang": "python",
"repo": "redlion0929/baekjoon---2020-winter",
"path": "/class2/10816.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tdude92/Ocular-Aid path: /Digital-Wellbeing/Digital-Wellbeing/check_face.py
import cv2
import sys
# Load the Haar cascades
face_cascade = cv2.CascadeClassifier('./haar_cascades/haarcascade_frontalface_default.xml')
eyes_cascade = cv2.CascadeClassifier('./haar_cascades/haarcascade_eye.xml')
<|fi... | code_fim | medium | {
"lang": "python",
"repo": "tdude92/Ocular-Aid",
"path": "/Digital-Wellbeing/Digital-Wellbeing/check_face.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>faces = face_cascade.detectMultiScale(gray, 1.3, 5)
if len(faces) >= 1:
sys.stdout.write("1")
else:
sys.stdout.write("0")<|fim_prefix|># repo: tdude92/Ocular-Aid path: /Digital-Wellbeing/Digital-Wellbeing/check_face.py
import cv2
import sys
# Load the Haar cascades
face_cascade = cv2.CascadeClas... | code_fim | easy | {
"lang": "python",
"repo": "tdude92/Ocular-Aid",
"path": "/Digital-Wellbeing/Digital-Wellbeing/check_face.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qiangzi11hao/MIT-Introduction-to-Algorithm path: /Lesson3 Insertion sort, merge sort/ps2/circuit/Query.py
# import sys
# class PriorityQueue:
# """Array-based priority queue implementation."""
#
# def __init__(self):
# """Initially empty priority queue."""
# self.queue = [... | code_fim | hard | {
"lang": "python",
"repo": "qiangzi11hao/MIT-Introduction-to-Algorithm",
"path": "/Lesson3 Insertion sort, merge sort/ps2/circuit/Query.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def min(self):
"""Returns the smallest element in the queue."""
return self.heap[1]
def pop(self):
"""Removes the minimum element in the queue.
Returns:
The value of the removed element.
"""
heap = self.heap
popped_key = heap[1]... | code_fim | hard | {
"lang": "python",
"repo": "qiangzi11hao/MIT-Introduction-to-Algorithm",
"path": "/Lesson3 Insertion sort, merge sort/ps2/circuit/Query.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not get_auth_manager().is_logged_in():
roles = user.roles
else:
if (permissions.ACTION_CAN_EDIT in user_actions and self.can_edit_all_dags(user)) or (
permissions.ACTION_CAN_READ in user_actions and self.can_read_all_dags(user)
):
... | code_fim | hard | {
"lang": "python",
"repo": "apache/airflow",
"path": "/airflow/www/security.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Checks if user has read or write access to some dags."""
if dag_id and dag_id != "~":
root_dag_id = self._get_root_dag_id(dag_id)
return self.has_access(action, permissions.resource_name_for_dag(root_dag_id))
user = g.user
if action == permission... | code_fim | hard | {
"lang": "python",
"repo": "apache/airflow",
"path": "/airflow/www/security.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: apache/airflow path: /airflow/www/security.py
ermissions.RESOURCE_DAG_RUN),
(permissions.ACTION_CAN_DELETE, permissions.RESOURCE_DAG_RUN),
]
# [END security_user_perms]
# [START security_op_perms]
OP_PERMISSIONS = [
(permissions.ACTION_CAN_READ, permissions.RESOUR... | code_fim | hard | {
"lang": "python",
"repo": "apache/airflow",
"path": "/airflow/www/security.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: maugier/timelapse path: /sliders.py
import datetime
import logging
import random
import transform
import timelapse
# merge two iterators producing sorted values
def merge(s1, s2):
try:
x1 = next(s1)
except StopIteration:
yield from s2
return
try:
x2 =... | code_fim | hard | {
"lang": "python",
"repo": "maugier/timelapse",
"path": "/sliders.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def on_lapsed_message(self, msg):
if isinstance(msg, transform.Transform):
self.sliders_transform = msg
self.connection.privmsg(self.lapsed_channel,
"\x01ACTION s'ouvre vers un monde parallèle peuplé de jumeaux "
+ msg.name + "\x01")
... | code_fim | hard | {
"lang": "python",
"repo": "maugier/timelapse",
"path": "/sliders.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Clearly variables can be manipulated easily,
#this can make them very useful<|fim_prefix|># repo: huezune2000/Learn-Python-Offline path: /PYTHON/Learn Python/Level_0/4) Variable 2.py
####
#Some more on variables
####
#Variables are easily redefined.
<|fim_middle|>#Let's start simple.
x=2 #x is going... | code_fim | hard | {
"lang": "python",
"repo": "huezune2000/Learn-Python-Offline",
"path": "/PYTHON/Learn Python/Level_0/4) Variable 2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: huezune2000/Learn-Python-Offline path: /PYTHON/Learn Python/Level_0/4) Variable 2.py
####
#Some more on variables
####
#Variables are easily redefined.
<|fim_suffix|>#Clearly variables can be manipulated easily,
#this can make them very useful<|fim_middle|>#Let's start simple.
x=2 #x is going... | code_fim | hard | {
"lang": "python",
"repo": "huezune2000/Learn-Python-Offline",
"path": "/PYTHON/Learn Python/Level_0/4) Variable 2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> fig1_result=self.fig1(lime_all,lime_n,ubiq,pheno,exp_data,cli,usa,save_path)
# print(multiple[0])
# print(single[0],single[1])
def fig1(self,lime_all,lime_n,ubiq,pheno,exp_data,cli,save_path):
lime_all=lime_all
lime_n=lime_n
ubiq=u... | code_fim | hard | {
"lang": "python",
"repo": "Arszr/baiyinyun",
"path": "/function/Ubiquitination.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # save_path=save_path+'Fig2/'
# if not os.path.exists(save_path):
# os.makedirs(save_path)
r=robjects.r
# 加载差异分析文件
r.source('./web_app/script/GeneSurvivalModel/Heatmap.r')
result={
'code':2,
}
return re... | code_fim | hard | {
"lang": "python",
"repo": "Arszr/baiyinyun",
"path": "/function/Ubiquitination.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Arszr/baiyinyun path: /function/Ubiquitination.py
import rpy2.robjects as robjects
from rpy2.robjects.packages import importr
# print(robjects.__file__)
import sys
sys.path.append('./')
import importlib
import json
import os
from web_app.function.WordCould import word_img
# importlib.reload(sys)
... | code_fim | hard | {
"lang": "python",
"repo": "Arszr/baiyinyun",
"path": "/function/Ubiquitination.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> from .main import main as main_blueprint
app.register_blueprint(main_blueprint)
db.init_app(app)
return app<|fim_prefix|># repo: yanglinzhen/python-web path: /python-web/app/__init__.py
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from config import config
import os
... | code_fim | medium | {
"lang": "python",
"repo": "yanglinzhen/python-web",
"path": "/python-web/app/__init__.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> app = Flask(__name__, static_folder=static_file_dir)
app.config.from_object(config[config_name])
config[config_name].init_app(app)
from .main import main as main_blueprint
app.register_blueprint(main_blueprint)
db.init_app(app)
return app<|fim_prefix|># repo: yanglinzhen/pyth... | code_fim | medium | {
"lang": "python",
"repo": "yanglinzhen/python-web",
"path": "/python-web/app/__init__.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yanglinzhen/python-web path: /python-web/app/__init__.py
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from config import config
import os
db = SQLAlchemy()
<|fim_suffix|>def create_app(config_name):
app = Flask(__name__, static_folder=static_file_dir)
app.config.from... | code_fim | medium | {
"lang": "python",
"repo": "yanglinzhen/python-web",
"path": "/python-web/app/__init__.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Revenue-Academy/Tax_Microsimulation path: /app_pit_charts.py
"""
app_dist_Tables00.py illustrates use of pitaxcalc-demo release 2.0.0
(India version).
USAGE: python app_dist_Tables00.py
"""
import pandas as pd
from taxcalc import *
import numpy as np
from babel.numbers import format_curre... | code_fim | hard | {
"lang": "python",
"repo": "Revenue-Academy/Tax_Microsimulation",
"path": "/app_pit_charts.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
year = 2020
df_pitax_tot = df['pitax_total_ref_'+str(year)]
df_pitax_tot = df_pitax_tot[:-1]
df_pitax_tot = df_pitax_tot[2:]
df_pitax_tot = df_pitax_tot.reset_index()
pitax_inc_brac_list = df_pitax_tot['Income_Bracket'].tolist()
pitax_tot_list = df_pitax_tot['pitax_total_ref_'+str(year)].tolist(... | code_fim | hard | {
"lang": "python",
"repo": "Revenue-Academy/Tax_Microsimulation",
"path": "/app_pit_charts.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BugsBuggy/KBC_Framework path: /evaluation/new_evaluation.py
import torch.utils.data
import torch
import math
from util.helpers import *
from collections import defaultdict as ddict
class _Collate:
def __init__(self, ):
pass
def collate(self, batch):
return torch.squeeze(... | code_fim | hard | {
"lang": "python",
"repo": "BugsBuggy/KBC_Framework",
"path": "/evaluation/new_evaluation.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return ranks
def metrics(self, ranks_by_relation, num_true_triples):
total_precision = 0
normalization = 0
total_hits = 0
for r, ranks in ranks_by_relation.items():
total_hits += len(ranks[0])
normalization += min(num_true_triples[r], s... | code_fim | hard | {
"lang": "python",
"repo": "BugsBuggy/KBC_Framework",
"path": "/evaluation/new_evaluation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ymer/rosewarsgame path: /python/tests/speed_tester.py
import json
from gamestate.gamestate_module import Gamestate
from time import time
from gamestate import action_getter as action_getter
<|fim_suffix|> path = "./../Version_1.0/Tests/General/Action_1.json"
document = json.loads(open(pa... | code_fim | medium | {
"lang": "python",
"repo": "ymer/rosewarsgame",
"path": "/python/tests/speed_tester.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> nloops = 100
total_time = 0
for _ in range(nloops):
t = time()
action_getter.get_actions(gamestate)
total_time += time() - t
print("Time used to find all actions", str(nloops), "times:", str(round(total_time, 3)))<|fim_prefix|># repo: ymer/rosewarsgame path: /pyth... | code_fim | medium | {
"lang": "python",
"repo": "ymer/rosewarsgame",
"path": "/python/tests/speed_tester.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: j-alexander-acosta/AAGESuite-Antiguo path: /carga_horaria/viewsAlexis.py
olegio
from .models import Periodo
from .models import Nivel
class LevelFilterMixin(object):
def get_context_data(self, *args, **kwargs):
ctx = super().get_context_data(*args, **kwargs)
ctx['levels'] = ... | code_fim | hard | {
"lang": "python",
"repo": "j-alexander-acosta/AAGESuite-Antiguo",
"path": "/carga_horaria/viewsAlexis.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: j-alexander-acosta/AAGESuite-Antiguo path: /carga_horaria/viewsAlexis.py
d:
colegios = [selected]
# end
kwargs = {"{}__in".format(self.lookup): colegios,
"{}periode".format(self.lookup[:-2]): periodo}
return qs... | code_fim | hard | {
"lang": "python",
"repo": "j-alexander-acosta/AAGESuite-Antiguo",
"path": "/carga_horaria/viewsAlexis.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class AsistenteDeleteView(LoginRequiredMixin, DeleteView):
model = Asistente
success_url = reverse_lazy('carga-horaria:asistentes')
def get(self, request, *args, **kwargs):
return self.post(request, *args, **kwargs)
"""
Comienzo Crud Asignatura Base
"""
class AsignaturaBaseLi... | code_fim | hard | {
"lang": "python",
"repo": "j-alexander-acosta/AAGESuite-Antiguo",
"path": "/carga_horaria/viewsAlexis.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for j in range(1, len(A), 2):
if A[j] % 2 == 1:
continue
else:
while i + 2 < len(A) and A[i] % 2 == 0:
i += 2
A[i], A[j] = A[j], A[i]
i += 2
return A<|fim_prefix|># repo: danwaterfie... | code_fim | hard | {
"lang": "python",
"repo": "danwaterfield/LeetCode-Solution",
"path": "/python/Array/Sort Array By Parity II/Sort Array By Parity II.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: danwaterfield/LeetCode-Solution path: /python/Array/Sort Array By Parity II/Sort Array By Parity II.py
class Solution(object):
def sortArrayByParityII(self, A):
<|fim_suffix|> for j in range(1, len(A), 2):
if A[j] % 2 == 1:
continue
else:
... | code_fim | hard | {
"lang": "python",
"repo": "danwaterfield/LeetCode-Solution",
"path": "/python/Array/Sort Array By Parity II/Sort Array By Parity II.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class NoteTestCase(TestCase):
def setUp(self):
call_command('migrate', verbosity=0)
self.child = models.Child.objects.create(
first_name='First',
last_name='Last',
birth_date=timezone.localdate()
)
def test_note_create(self):
not... | code_fim | hard | {
"lang": "python",
"repo": "Alan01252/babybuddy",
"path": "/core/tests/tests_models.py",
"mode": "spm",
"license": "BSD-2-Clause-Views",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Alan01252/babybuddy path: /core/tests/tests_models.py
# -*- coding: utf-8 -*-
from django.contrib.auth.models import User
from django.core.management import call_command
from django.test import TestCase
from django.utils import timezone
from core import models
class ChildTestCase(TestCase):
... | code_fim | hard | {
"lang": "python",
"repo": "Alan01252/babybuddy",
"path": "/core/tests/tests_models.py",
"mode": "psm",
"license": "BSD-2-Clause-Views",
"source": "the-stack-v2"
} |
<|fim_suffix|>@event_class()
class InspectionEndEvent(EventBase):
"""
Inspection end (not deferrable)
"""
deferred = False<|fim_prefix|># repo: saeki-masaki/earthquake path: /pyearthquake/entity/event.py
from .entity import EventBase, event_class
from .. import LOG as _LOG
LOG = _LOG.getChild('entity.e... | code_fim | medium | {
"lang": "python",
"repo": "saeki-masaki/earthquake",
"path": "/pyearthquake/entity/event.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# ==== main()
cellType_labels= {'Vector':'Vector',\
'WT':'WT',\
'DEL':'$\Delta$cIDR',\
'EIF':'UTX-eIF$_{IDR}$',\
'TPR':'$\Delta$TPR',\
'MT2':'MT2',\
'FUS':'UTX-FUS$_{IDR}$'}
outdir = 'f4_... | code_fim | hard | {
"lang": "python",
"repo": "zanglab/utx_code",
"path": "/f8_integrative_analysis/f1_gene_expr_cor_DCI_patterns/py4_promoter_DCI_scatter.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zanglab/utx_code path: /f8_integrative_analysis/f1_gene_expr_cor_DCI_patterns/py4_promoter_DCI_scatter.py
import sys,argparse
import os,glob
import numpy as np
import pandas as pd
import re,bisect
from scipy import stats
import matplotlib
# matplotlib.use('Agg')
import matplotlib.pyplot as plt
ma... | code_fim | hard | {
"lang": "python",
"repo": "zanglab/utx_code",
"path": "/f8_integrative_analysis/f1_gene_expr_cor_DCI_patterns/py4_promoter_DCI_scatter.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> #print(box_vals)
positions = np.arange(len(box_vals))
fig = plt.figure(figsize=(.46*len(box_vals),2.2))
g = plt.boxplot(box_vals,positions=positions,widths = .5,patch_artist=True,\
boxprops=dict(color='k',facecolor='w',fill=None,lw=1),\
... | code_fim | hard | {
"lang": "python",
"repo": "zanglab/utx_code",
"path": "/f8_integrative_analysis/f1_gene_expr_cor_DCI_patterns/py4_promoter_DCI_scatter.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def run_tests(self):
import pytest
errcode = pytest.main(self.test_args)
sys.exit(errcode)
setup(
name='We Have We Need',
version=whwn.__version__,
url='http://github.com/wehaveweneed/wehaveweneed',
tests_require=['pytest'],
cmdclass={'test': PyTest},
d... | code_fim | hard | {
"lang": "python",
"repo": "wehaveweneed/whwn",
"path": "/setup.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> import pytest
errcode = pytest.main(self.test_args)
sys.exit(errcode)
setup(
name='We Have We Need',
version=whwn.__version__,
url='http://github.com/wehaveweneed/wehaveweneed',
tests_require=['pytest'],
cmdclass={'test': PyTest},
description='Inventory Man... | code_fim | medium | {
"lang": "python",
"repo": "wehaveweneed/whwn",
"path": "/setup.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wehaveweneed/whwn path: /setup.py
import io
import os
import sys
import whwn
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
<|fim_suffix|> def run_tests(self):
import pytest
errcode = pytest.main(self.test_args)
sys.... | code_fim | hard | {
"lang": "python",
"repo": "wehaveweneed/whwn",
"path": "/setup.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MaxCreeger32/ConsoEdf path: /python/teleinfo2Mongo.py
#!/usr/bin/env python
from pymongo import MongoClient
import serial
import sys, os, datetime
os.system('sudo stty -F /dev/ttyS0 1200 sane evenp parenb cs7 -crtscts')
SERIAL = '/dev/ttyS0'
try:
ser = serial.Serial(
port=SERIAL,
ba... | code_fim | hard | {
"lang": "python",
"repo": "MaxCreeger32/ConsoEdf",
"path": "/python/teleinfo2Mongo.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>dateDeMesure = datetime.datetime.utcnow()
data['dateMesure'] = dateDeMesure
clientMongo = MongoClient('mongodb://bber:cab32b79@nounours:27017/')
db = clientMongo.teleinfo
collec = db.conso
print (data)
un_id=collec.insert_one(data).inserted_id
print (un_id)
ser.close()<|fim_prefix|># repo: MaxCreeger32... | code_fim | hard | {
"lang": "python",
"repo": "MaxCreeger32/ConsoEdf",
"path": "/python/teleinfo2Mongo.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('users', '0004_auto_20200720_0154'),
]
operations = [
migrations.DeleteModel(
name='Report',
),
migrations.AlterField(
model_name='registered',
name='Email',
field=models.EmailField(max_length=25... | code_fim | medium | {
"lang": "python",
"repo": "opalpeltzman/projects",
"path": "/WebProj2020/LOOK-final/users/migrations/0005_auto_20200720_0305.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.DeleteModel(
name='Report',
),
migrations.AlterField(
model_name='registered',
name='Email',
field=models.EmailField(max_length=254, null=True),
),
migrations.AlterField(
model... | code_fim | medium | {
"lang": "python",
"repo": "opalpeltzman/projects",
"path": "/WebProj2020/LOOK-final/users/migrations/0005_auto_20200720_0305.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: opalpeltzman/projects path: /WebProj2020/LOOK-final/users/migrations/0005_auto_20200720_0305.py
# Generated by Django 3.0.4 on 2020-07-20 00:05
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
('users', '0004_auto_20200720_0154'),
]
operations = [
... | code_fim | medium | {
"lang": "python",
"repo": "opalpeltzman/projects",
"path": "/WebProj2020/LOOK-final/users/migrations/0005_auto_20200720_0305.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> register = register_path.DataDirRegister(
namespace_to_data_dirs={'ns1': [epath.Path('/path/ns1')]})
assert {'ns1'} == register.namespaces<|fim_prefix|># repo: suvarnak/datasets path: /tensorflow_datasets/core/community/register_path_test.py
# coding=utf-8
# Copyright 2022 The TensorFlow Datase... | code_fim | medium | {
"lang": "python",
"repo": "suvarnak/datasets",
"path": "/tensorflow_datasets/core/community/register_path_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: suvarnak/datasets path: /tensorflow_datasets/core/community/register_path_test.py
# coding=utf-8
# Copyright 2022 The TensorFlow Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtai... | code_fim | medium | {
"lang": "python",
"repo": "suvarnak/datasets",
"path": "/tensorflow_datasets/core/community/register_path_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_data_dir_register():
register = register_path.DataDirRegister(
namespace_to_data_dirs={'ns1': [epath.Path('/path/ns1')]})
assert {'ns1'} == register.namespaces<|fim_prefix|># repo: suvarnak/datasets path: /tensorflow_datasets/core/community/register_path_test.py
# coding=utf-8
# Copyri... | code_fim | medium | {
"lang": "python",
"repo": "suvarnak/datasets",
"path": "/tensorflow_datasets/core/community/register_path_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ncgr/seqtools2 path: /sequencetools/tools/subset_fastq.py
#!/usr/bin/env python
import os
import sys
import click
import logging
from signal import signal, SIGPIPE, SIG_DFL
from ..helpers.file_helpers import return_filehandle
from ..helpers.sequence_helpers import get_seqio_fastq_record
signal(... | code_fim | hard | {
"lang": "python",
"repo": "ncgr/seqtools2",
"path": "/sequencetools/tools/subset_fastq.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@click.command()
@click.option('--fastq',
help='''FASTQ file to subset, can be compressed''')
@click.option('--subset', metavar = '<INT>',
help='''Take every N reads (default:10)''', default=10)
@click.option('--log_file', metavar = '<FILE>', default='./subset_fast... | code_fim | hard | {
"lang": "python",
"repo": "ncgr/seqtools2",
"path": "/sequencetools/tools/subset_fastq.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> subset_fastq.py --fastq input.fastq
'''
log_level = getattr(logging, log_level.upper(), logging.INFO)
msg_format = '%(asctime)s|%(name)s|[%(levelname)s]: %(message)s'
logging.basicConfig(format=msg_format, datefmt='%m-%d %H:%M',
level=log_level)
log_hand... | code_fim | hard | {
"lang": "python",
"repo": "ncgr/seqtools2",
"path": "/sequencetools/tools/subset_fastq.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|># X_train, y_train = X_data[:50000,:], y_data[:50000]
# X_valid, y_valid = X_data[50000:,:], y_data[50000:]
# print('Training: ', X_train.shape, y_train.shape)
# print('Validation: ', X_valid.shape, y_valid.shape)
# print('Test Set: ', X_test.shape, y_test.shape)<|fim_prefix|># repo: yohei1996/C... | code_fim | hard | {
"lang": "python",
"repo": "yohei1996/CNN",
"path": "/CNN_python/execute/9_12_DGIM_validation/9_12_file_load_test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># X_data = dataset['train_img']
# y_data = dataset['train_label']
# print('Rows: %d, Columns: %d' % (X_data.shape[0], X_data.shape[1]))
# X_test =dataset['test_img']
# y_test =dataset['test_label']
# print('Rows: %d, Columns: %d' % (X_test.shape[0], X_test.shape[1]))
# X_train, y_train = X_data... | code_fim | medium | {
"lang": "python",
"repo": "yohei1996/CNN",
"path": "/CNN_python/execute/9_12_DGIM_validation/9_12_file_load_test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yohei1996/CNN path: /CNN_python/execute/9_12_DGIM_validation/9_12_file_load_test.py
# MINISTを読み込んでレイヤーAPIでCNNを構築するファイル
import tensorflow as tf
import numpy as np
import os
import tensorflow as tf
import glob
import numpy as np
import config as cf
from data_loader import DataLoader
fr... | code_fim | hard | {
"lang": "python",
"repo": "yohei1996/CNN",
"path": "/CNN_python/execute/9_12_DGIM_validation/9_12_file_load_test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>=True)
s=0
for i in range(n):
k=a[i]-i
if k>=0:
s+=k
print(s%1000000007)
t-=1<|fim_prefix|># repo: tejpk/APS_CodeLib path: /CC_CARSELL.py
# cook your dish here
t=int(input())
while t:
n=int(inpu<|fim_middle|>t())
a=list(map(int,input().split()))
a.s... | code_fim | medium | {
"lang": "python",
"repo": "tejpk/APS_CodeLib",
"path": "/CC_CARSELL.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tejpk/APS_CodeLib path: /CC_CARSELL.py
# cook your dish here
t=int(input())
while t:
n=int(inpu<|fim_suffix|> if k>=0:
s+=k
print(s%1000000007)
t-=1<|fim_middle|>t())
a=list(map(int,input().split()))
a.sort(reverse=True)
s=0
for i in range(n):
k=a... | code_fim | medium | {
"lang": "python",
"repo": "tejpk/APS_CodeLib",
"path": "/CC_CARSELL.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if k>=0:
s+=k
print(s%1000000007)
t-=1<|fim_prefix|># repo: tejpk/APS_CodeLib path: /CC_CARSELL.py
# cook your dish here
t=int(input())
while t:
n=int(input())
a=list(map(int,input().split()))
a.sort(reverse<|fim_middle|>=True)
s=0
for i in range(n):
k=a... | code_fim | medium | {
"lang": "python",
"repo": "tejpk/APS_CodeLib",
"path": "/CC_CARSELL.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 362902755/CTF-Tools path: /GUI/KEY.py
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'KEY.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_KEY(object):
... | code_fim | hard | {
"lang": "python",
"repo": "362902755/CTF-Tools",
"path": "/GUI/KEY.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> _translate = QtCore.QCoreApplication.translate
KEY.setWindowTitle(_translate("KEY", "KEY"))
self.label.setText(_translate("KEY", "Keys 1"))
self.label_2.setText(_translate("KEY", "Keys 2"))
self.enter.setText(_translate("KEY", "确定"))
self.quxiao.setText(_tra... | code_fim | hard | {
"lang": "python",
"repo": "362902755/CTF-Tools",
"path": "/GUI/KEY.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for move in pm:
new_moves = moves[:]
new_moves.append(move)
newobstacles,newrobot = make_moves(obstacles,robot,graph,[move])
if t == newrobot:
print("!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
return ne... | code_fim | hard | {
"lang": "python",
"repo": "SpaskeS/resavanje-problema-optimalnog-planiranja-kretanja-u-grafu",
"path": "/src/ssolver.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SpaskeS/resavanje-problema-optimalnog-planiranja-kretanja-u-grafu path: /src/ssolver.py
import heapq as heap
import networkx as nx
import copy
import random
def remove_jumps(moves):
res = []
for move in moves:
if move[2] > 1:
move[3].reverse()
res.extend(... | code_fim | hard | {
"lang": "python",
"repo": "SpaskeS/resavanje-problema-optimalnog-planiranja-kretanja-u-grafu",
"path": "/src/ssolver.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def solve_heap(o,r,graph,t):
round = 0
visited = set([])
queue= [(-1000,[],o,r)]
while queue:
score,moves,obstacles,robot = heap.heappop(queue)
obstacles.sort()
st = ('#'.join(obstacles),robot)
if ( st not in visited ):
visited.add(st)
... | code_fim | hard | {
"lang": "python",
"repo": "SpaskeS/resavanje-problema-optimalnog-planiranja-kretanja-u-grafu",
"path": "/src/ssolver.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: otap63/PyCharmProjects path: /Cars/Sample.py
from Cars import Bmw
from Cars import Audi
from Cars import Nissan
<|fim_suffix|> # Create an object of Bmw class & call its method
ModBMW = Bmw.Bmw()
ModBMW.outModels()
# Create an object of Audi class & call its method
ModAudi ... | code_fim | medium | {
"lang": "python",
"repo": "otap63/PyCharmProjects",
"path": "/Cars/Sample.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Create an object of Bmw class & call its method
ModBMW = Bmw.Bmw()
ModBMW.outModels()
# Create an object of Audi class & call its method
ModAudi = Audi.Audi()
ModAudi.outModels()
# Create an object of Nissan class & call its method
ModNissan = Nissan.Nissan()
ModNis... | code_fim | medium | {
"lang": "python",
"repo": "otap63/PyCharmProjects",
"path": "/Cars/Sample.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> n = len(nums)
i = 0
j = 0
while i < n:
if nums[i] != 0:
nums[j],nums[i] = nums[i],nums[j]
j += 1
i += 1<|fim_prefix|># repo: c940606/leetcode path: /Move Zeroes.py
class Solution(object):
def moveZeroes(self, nums):
"""
给定一个数组 nums，编写一个函数将所有 0 移动到数组的末尾，同时保持非零元素的相对顺序。
... | code_fim | hard | {
"lang": "python",
"repo": "c940606/leetcode",
"path": "/Move Zeroes.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: c940606/leetcode path: /Move Zeroes.py
class Solution(object):
def moveZeroes(self, nums):
"""
给定一个数组 nums，编写一个函数将所有 0 移动到数组的末尾，同时保持非零元素的相对顺序。
---
输入: [0,1,0,3,12]
输出: [1,3,12,0,0]
---
思路；
<|fim_suffix|> n = len(nums)
i = 0
j = 0
while i < n:
if nums[i] != 0:
n... | code_fim | hard | {
"lang": "python",
"repo": "c940606/leetcode",
"path": "/Move Zeroes.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vrastil/CCD_testing path: /ccdanalyses/plot_handling.py
label='noise')
ax2.set_ylabel('stdev')
lns3 = ax2.plot(nd[i], 'v', color='red', label='dnoise')
lns = lns1 + lns2 + lns3
labs = [l.get_label() for l in lns]
ax1.legend(lns, labs, bbox_to_anchor=(0., 1... | code_fim | hard | {
"lang": "python",
"repo": "vrastil/CCD_testing",
"path": "/ccdanalyses/plot_handling.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> gain_ref_np = np.array(gains[gain_ref].gain)
ratios = []
for gain in gains:
gain_np = np.array(gain.gain)
dim = (min(gain_ref_np.shape[0], gain_np.shape[0]),
min(gain_ref_np.shape[1], gain_np.shape[1])
)
# print 'dim = ', dim
ratios.a... | code_fim | hard | {
"lang": "python",
"repo": "vrastil/CCD_testing",
"path": "/ccdanalyses/plot_handling.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vrastil/CCD_testing path: /ccdanalyses/plot_handling.py
close(fig)
def plot_histogram_mean(m, TITLE, OUT_DIR):
fig = plt.figure(figsize=(15, 15))
m_all = m.ravel()
for bin_num in np.arange(10, 100, 10):
plt.subplot(3, 3, bin_num / 10)
plt.hist(m_all, bin_num, faceco... | code_fim | hard | {
"lang": "python",
"repo": "vrastil/CCD_testing",
"path": "/ccdanalyses/plot_handling.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Personal',
fields=[
('post_apply', models.CharField(max_length=150)),
('department', models.CharField(max_length=50)),
('application_no', models.BigAutoField(db_column='APPLICAT... | code_fim | hard | {
"lang": "python",
"repo": "shivankyGoyal/fyp",
"path": "/calculator/migrations/0001_initial.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shivankyGoyal/fyp path: /calculator/migrations/0001_initial.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.9 on 2018-01-15 17:27
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
<|fim_suffix|> ... | code_fim | hard | {
"lang": "python",
"repo": "shivankyGoyal/fyp",
"path": "/calculator/migrations/0001_initial.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 2.百科内容获取
reptile = Reptile()
page_content = reptile.get_page_content(url + '&'.join([key + '=' + parm[key] for key in parm]), timeout=3)
content_list = json.loads(page_content)[1]
# 3.百科内容格式化
data = []
prefix = 'https://zh.wikipedia.org/wiki/'
for index, item in enumerate(content_list):... | code_fim | hard | {
"lang": "python",
"repo": "makeplanetoheaven/everything",
"path": "/src/dao/encyclopediaDao.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return data
@staticmethod
def get_faq_content(query: str, page: str) -> list:
"""
获取指定query的faq检索内容
:param query:
:param page:
:return:
"""
# 1.参数设置
url = 'https://zhidao.baidu.com/search?'
parm = {
'lm': '0',
'rn': '5',
'pn': page,
'fr': 'search',
'ie': 'gbk',
'wo... | code_fim | hard | {
"lang": "python",
"repo": "makeplanetoheaven/everything",
"path": "/src/dao/encyclopediaDao.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: makeplanetoheaven/everything path: /src/dao/encyclopediaDao.py
# coding=utf-8
"""
author: wlc
function: 百科检索数据层
"""
# 引入外部库
import json
import re
from bs4 import BeautifulSoup
# 引入内部库
from src.util.reptile import *
class EncyclopediaDao:
@staticmethod
def get_key_content (key: str) -> list... | code_fim | hard | {
"lang": "python",
"repo": "makeplanetoheaven/everything",
"path": "/src/dao/encyclopediaDao.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Draw some stuff
glBegin(GL_TRIANGLES)
glVertex3i(0, 0, 0)
glVertex3i(300, 0, 0)
glVertex3i(0, 300, 0)
glEnd()
pyglet.app.run()<|fim_prefix|># repo: coreline/sandbox path: /PyGame/test.py
#!/usr/bin/python
import pyglet
from pyglet.gl import *
win = pyglet.window.Window()
<|fim_middle|>@win.ev... | code_fim | medium | {
"lang": "python",
"repo": "coreline/sandbox",
"path": "/PyGame/test.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tbobula/100daysofcode-with-python-course path: /codechalleng/Begining/1.py
def sum_numbers(numbers=None):
<|fim_suffix|> for number in numbers:
sum += number
return sum<|fim_middle|> sum = 0
if numbers == None:
for number in range(1,101):
sum += number
... | code_fim | medium | {
"lang": "python",
"repo": "tbobula/100daysofcode-with-python-course",
"path": "/codechalleng/Begining/1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for number in numbers:
sum += number
return sum<|fim_prefix|># repo: tbobula/100daysofcode-with-python-course path: /codechalleng/Begining/1.py
def sum_numbers(numbers=None):
<|fim_middle|> sum = 0
if numbers == None:
for number in range(1,101):
sum += number
... | code_fim | medium | {
"lang": "python",
"repo": "tbobula/100daysofcode-with-python-course",
"path": "/codechalleng/Begining/1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: itsjesseyo/enjigo_door path: /door_interface/helpers/sensor.py
import sys, serial, time, signal, threading
from MFRC522 import MFRC522
from event import Event
class Sensor(threading.Thread):
# main program for reading and processing tags
def __init__(self, name):
threading.Thread.__init__(s... | code_fim | medium | {
"lang": "python",
"repo": "itsjesseyo/enjigo_door",
"path": "/door_interface/helpers/sensor.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> def stop(self):
self.continue_reading = False
def run(self):
print "sensor running"
self.continue_reading = True
#if RFID is working - start monitoring it
while self.continue_reading:
(status,TagType) = self.tag_reader.MFRC522_Request(self.tag_reader.PICC_REQIDL)
if status == self.t... | code_fim | hard | {
"lang": "python",
"repo": "itsjesseyo/enjigo_door",
"path": "/door_interface/helpers/sensor.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p02879/s520355727.py
a, b = map(int, input().split())
<|fim_suffix|> if a > 9 or b > 9 or a < 1 or b < 1:
print(-1)
else:
print(a * b)
mult(a,b)<|fim_middle|>
def mult(a, b):
| code_fim | easy | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p02879/s520355727.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if a > 9 or b > 9 or a < 1 or b < 1:
print(-1)
else:
print(a * b)
mult(a,b)<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p02879/s520355727.py
a, b = map(int, input().split())
<|fim_middle|>
def mult(a, b):
| code_fim | easy | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p02879/s520355727.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#predictions
train_loss, train_accuracy = model.evaluate(train_X, train_y,verbose=False )
test_loss, test_accuracy = model.evaluate(test_X, test_y, verbose = False )
# In[73]:
print('trin_accuracy : {}'.format(train_accuracy))
print('test_accuracy : {}'.format(test_accuracy))
# In[74]:
prediction... | code_fim | hard | {
"lang": "python",
"repo": "sobanmalik/Tensorflow-2.0",
"path": "/TF 2.0.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
with tf.device('GPU:0'):
model = keras.Sequential([
#keras.layers.Conv2D(filters=32 ,kernel_size=3, activation='relu',input_shape=(28,28,1)),
keras.layers.Flatten(input_shape=(28,28)),
#keras.layers.Dense(128, activation='relu'),
keras.layers.Dense(2560, activation='r... | code_fim | hard | {
"lang": "python",
"repo": "sobanmalik/Tensorflow-2.0",
"path": "/TF 2.0.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sobanmalik/Tensorflow-2.0 path: /TF 2.0.py
#!/usr/bin/env python
# coding: utf-8
# In[2]:
from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))
# In[1... | code_fim | hard | {
"lang": "python",
"repo": "sobanmalik/Tensorflow-2.0",
"path": "/TF 2.0.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.