seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
127045110 | # 这样处理是错的：处理[3, 4]的时候， left=3, right=4, mid=3, 最后传入的时候list=[3, 4]，
# 因为它是按分开后的数据重新计数， 此时list的索引是从0开始的
# def merge_sort(list, left, right):
# if len(list) <= 1:
# return list
# mid = int((left + right)/2)
# left_list = merge_sort(list[: mid+1], left, mid)
# right_list = merge_sort(list[mid+1:], ... | null | dir_sort/merge_sort.py | merge_sort.py | py | 1,224 | python | en | code | null | code-starcoder2 | 51 |
166823333 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 4 10:51:54 2018
@author: matthewszhang
"""
import time
import os
import os.path as osp
import numpy as np
from baselines import logger
from collections import deque
from baselines.feudal.models import I2AModel
from baselines.feudal.runners impo... | null | baselines/feudal/i2a.py | i2a.py | py | 6,286 | python | en | code | null | code-starcoder2 | 51 |
51125941 | #!/usr/bin/env python
"""
Add seizure names to LR results
Input: LR_results, name = "obs_LRs.{species}.txt"
Seizure file matching sample names to seizures
"""
import argparse
def run(input_file, seizure_file):
with open(input_file, 'r') as infile:
header = infile.readline().strip().split('\t')
... | null | data_analysis/post_processing/1_add_seizures.py | 1_add_seizures.py | py | 1,504 | python | en | code | null | code-starcoder2 | 51 |
432095531 | #!/usr/bin/env python
import os
import sys
import time
import signal
import argparse
import project_root
from os import path
from subprocess import Popen, call
from helpers.helpers import get_open_udp_port
def run(args):
# run worker.py on ps and worker hosts
for job_name in ['ps', 'worker']:
host_li... | null | a3c/train.py | train.py | py | 3,739 | python | en | code | null | code-starcoder2 | 51 |
433096351 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.Index.as_view(), name='index'),
url(r'^clubs/$', views.ClubList.as_view(), name='club_list'),
url(r'^clubs/add/$', views.ClubCreate.as_view(), name='club_create'),
url(r'^clubs/(?P<club_slug>[\w-]+)/$', views.ClubDet... | null | core/urls.py | urls.py | py | 1,124 | python | en | code | null | code-starcoder2 | 51 |
389482296 | import notifications
from django.conf.urls import patterns, include, url
from django.contrib import admin
from app.views import ProjectViewSet, TaskViewSet, UserViewSet, ChatRoomViewSet, ChatViewSet
from rest_framework import routers
from django.conf import settings
admin.autodiscover()
router = routers.DefaultRouter(... | null | mybeez/urls.py | urls.py | py | 2,033 | python | en | code | null | code-starcoder2 | 51 |
585238684 | def get_candies(ratings):
if len(ratings) == 1:
return 1
candies = list(1 for r in ratings)
minima = list()
for i,r in enumerate(ratings):
prevr = ratings[i-1] if i > 0 else 10**6
nextr = ratings[i+1] if i < len(ratings)-1 else 10**6
if r <= prevr and r <= nextr:
... | null | algorithms/dynamic/candies.py | candies.py | py | 844 | python | en | code | null | code-starcoder2 | 51 |
618714890 | # Import utilities
import datetime
from enum import Enum
class Person:
# Define gender enum
class Sex(Enum):
MALE = 1
FEMALE = 2
# Defining a method to print cumulative data for the family
def print_data(self):
print(self.name.title() + " " + self.last_name.title(... | null | Python version/Person.py | Person.py | py | 1,421 | python | en | code | null | code-starcoder2 | 51 |
510382768 | """
print:
(a), (b), (c), (d), (e), ...... (z)
(a,b), (a,c), (a,d), ... (y,z)
...
(a,b,c,d, ...,x,y,z)
"""
import string
def calcPerm(s, temp, num, total, fro, to, array):
if num > total:
return
if num == total:
array.append(f"({','.join(temp)})")
else:
for i in range(fro, to+1):
... | null | learning-algorithm-book/1/1-3.py | 1-3.py | py | 651 | python | en | code | null | code-starcoder2 | 51 |
518498478 | def fibonacci(n):
a=0
b=1
print ("The fibonacci series is:")
print (a, end=" ")
print (b, end=" ")
for i in range(n-2):
c=a+b
a=b
b=c
print (c, end=" ")
fibonacci(10)
| null | Fibonacci.py | Fibonacci.py | py | 251 | python | en | code | null | code-starcoder2 | 51 |
275249893 | import sys
from model import SOS, EOS, PAD
from utils import tokenize
MIN_LENGTH = 3
MAX_LENGTH = 50
def load_data():
data = []
vocab_src = {PAD: 0, EOS: 1, SOS: 2}
vocab_tgt = {PAD: 0, EOS: 1, SOS: 2}
fo = open(sys.argv[1])
for line in fo:
src, tgt = line.split("\t")
tokens_src = ... | null | prepare.py | prepare.py | py | 1,734 | python | en | code | null | code-starcoder2 | 51 |
591538766 | #coding=utf-8
# from selenium import webdriver
# import time
# browser=webdriver.Chrome()
# browser.get("http://www.baidu.com")
# time.sleep(5)
# browser.quit()
# from selenium import webdriver
# driver=webdriver.Chrome()
# driver.get("http://www.baidu.com")
# print("浏览器最大化")
# driver.maximize_window()#浏览器最大化
# driver.... | null | Webtest/practice.py | practice.py | py | 1,087 | python | en | code | null | code-starcoder2 | 51 |
425628398 | import numpy as np
from keras.models import Sequential
from keras.layers.core import Dense
EPOCHS=2000
training_data = np.array([[0,0],[0,1],[1,0],[1,1]], "float32")
target_data = np.array([[0],[1],[1],[0]], "float32")
model = Sequential()
model.add(Dense(16, input_shape=(2,), activation='relu'))
model.add(Dense(1, ... | null | day16/mykeras02.py | mykeras02.py | py | 693 | python | en | code | null | code-starcoder2 | 51 |
110446893 | class Node:
data = -1
left = None
right = None
def __init__(self, data):
self.data = data
def buildBTRec():
d = int(input())
if d == -1:
return None
root = Node(d)
root.left = buildBTRec()
root.right = buildBTRec()
return root
def preorder(root):
if(root == None):
return
print(root.data, end = ... | null | Basic_Data_Structures_Python/Lecture 18/BinaryTree.py | BinaryTree.py | py | 1,339 | python | en | code | null | code-starcoder2 | 51 |
481478560 | #守护进程
#守护进程会随着主进程的代码执行结束而结束
#正常的子进程没有执行完的时候主进程要一直等着
#守护进程不能再开户子进程
import time
from multiprocessing import Process
def cal_time():
while True:
time.sleep(1)
print("过去了1s")
if __name__ == '__main__':
p = Process(target=cal_time)
p.daemon = True # 一定在开启进程之前设置
p.start()
for i in range(... | null | process/process_daemon.py | process_daemon.py | py | 517 | python | en | code | null | code-starcoder2 | 51 |
571550198 | import unittest
from torch.distributions import Normal, Exponential, Independent, LogNormal
from pyfilter.filters import UKF, APF
from pyfilter.timeseries import AffineProcess, LinearGaussianObservations
from pyfilter.utils import concater
from pyfilter.normalization import normalize
import torch
from pyfilter.inferenc... | null | test/inference.py | inference.py | py | 3,115 | python | en | code | null | code-starcoder2 | 51 |
326575857 | """
This is an attempt at a simple royale test. I just wanna try a simple thing that doesn't get overengineered lol. That won't happen.
On a scale of 1-10 how scared are you (in this battle royale) when someone else is nearby? Then use that to calculate fear levels which change which tasks are more likely?
Only likel... | null | source/simpleroyaletest.py | simpleroyaletest.py | py | 15,682 | python | en | code | null | code-starcoder2 | 51 |
443419789 | valor = float(input('Entre com o valor do produto='))
codigo = int(input('Entre com o codigo do produto='))
if codigo == 1:
desconto = valor * 0.1
valor_final = valor - desconto
print('Seu produto custara = {}'.format(valor_final))
elif codigo == 2:
desconto = valor * 0.05
valor_final = valor - des... | null | Algoritmos - Python/Exercicios Python/exercicio11_2.8.py | exercicio11_2.8.py | py | 784 | python | en | code | null | code-starcoder2 | 51 |
230453446 | #!/usr/bin/python3
"""List all State objects from db"""
import sys
from sqlalchemy import create_engine
from sqlalchemy.orm import Session
from model_state import Base, State
def first_state():
""" Arguments argv to connect to database
argv[1]: mysql username
argv[2]: mysql password
argv[3]: database ... | null | 0x0F-python-object_relational_mapping/8-model_state_fetch_first.py | 8-model_state_fetch_first.py | py | 813 | python | en | code | null | code-starcoder2 | 51 |
166077480 | import curses
from output import OutputModule
from input import InputModule
from domains.Student import *
from domains.Course import *
from domains.Mark import *
class MainModule:
# main
s = int(student_num())
l = 1
while l <= s:
l += 1
add_student()
show_list_student()
c = in... | null | pw4/main.py | main.py | py | 685 | python | en | code | null | code-starcoder2 | 51 |
511095428 | # coding=utf-8
"""
pygame-menu
https://github.com/ppizarror/pygame-menu
WIDGET
Base class for widgets.
License:
-------------------------------------------------------------------------------
The MIT License (MIT)
Copyright 2017-2020 Pablo Pizarro R. @ppizarror
Permission is hereby granted, free of charge, to any pe... | null | tetris/venv/Lib/site-packages/pygame_menu/widgets/core/widget.py | widget.py | py | 26,029 | python | en | code | null | code-starcoder2 | 51 |
279812286 | import math
num =2
result =0
wow=1
def find(n):
check = int(math.sqrt(n))+1
for i in range(2,check):
if n%i==0:
return False
return True
while True:
if find(num)==True:
if wow==10001:
result=num
break
wow=wow+1
num=num+1
print(result)
| null | ProjectEuler/p7.py | p7.py | py | 319 | python | en | code | null | code-starcoder2 | 51 |
122682778 | import collections
class Graph:
def __init__(self,v):
self.nv=v
self.graph=collections.defaultdict(list)
self.count=0
def checkbc(self):
ss=self.nv
visited=[False]*ss
d=[float('inf')]*ss
low=[float('inf')]*ss
parent=[-1]*ss
if sel... | null | bicon.py | bicon.py | py | 1,514 | python | en | code | null | code-starcoder2 | 51 |
369843511 | # -*- coding: utf-8 -*-
import unittest
from pageobjects.baidu_homepage import Baidupage
from framework.browser_engine import Browser_open
class Test_search(unittest.TestCase):
def setUp(self):
b = Browser_open()
self.driver = b.browseropen()
def tearDown(self):
self.driver.qui... | null | selenium/src/testsuits/test_search.py | test_search.py | py | 1,004 | python | en | code | null | code-starcoder2 | 51 |
436405346 | from flask_restplus import Api, Resource, fields
from werkzeug.contrib.fixers import ProxyFix
from flask import Flask, url_for, jsonify
from elasticsearch import Elasticsearch
import json
### Setup elastic search connection
es_host = {"host": "elasticsearch1", "port": 9200}
es = Elasticsearch([es_host], retry_on_timeo... | null | elastic-stack-geonames-cities/geonames-cities-api/geonames-cities-api-using-payload.py | geonames-cities-api-using-payload.py | py | 4,546 | python | en | code | null | code-starcoder2 | 51 |
622131904 | import numpy
import math
execfile(os.path.join(os.path.dirname(__file__), 'rotations.py'))
import numpy
def rpyFunction(msg):
return quat_to_euler([msg.pose.rotation.w, msg.pose.rotation.x, msg.pose.rotation.y, msg.pose.rotation.z])
def rollFunction(msg):
'''roll'''
return msg.utime, rpyFunction(msg)[0]*... | null | software/config/signal_scope/val/forcetorque.py | forcetorque.py | py | 2,059 | python | en | code | null | code-starcoder2 | 51 |
506532697 | import os
from dotenv import load_dotenv
import pymongo
import datetime
from bson.objectid import ObjectId
from flask import Flask, request, render_template, redirect, url_for, session, flash
from flask_login import LoginManager, UserMixin, current_user, login_user, logout_user, login_required
import bcrypt
from functo... | null | app.py | app.py | py | 18,677 | python | en | code | null | code-starcoder2 | 51 |
472460838 | # -*- coding: utf-8 -*-
"""
Deck of character cards.
"""
import csv
from deck import Deck
class CharacterCard:
def __init__(self, cdict):
self.category = cdict['category']
self.name = cdict['name']
self.effect1 = cdict['effect1']
self.effect2 = cdict['effect2']
... | null | src/ui/character_deck.py | character_deck.py | py | 2,719 | python | en | code | null | code-starcoder2 | 51 |
632017191 | import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import *
from scipy.interpolate import *
from scipy.optimize import *
# integration
def f(x):
return 3.0*x*x +1.0
I,err=quad(f,0,1)
print("I= ",I,"err: ",err)
x_given=np.linspace(0,10,10)
y_given=np.cos(x_given**2.0/8.0)
xx=np... | null | Bases/Section1.py | Section1.py | py | 1,605 | python | en | code | null | code-starcoder2 | 51 |
458971686 | from products.models import Product
from users.models import User
from .models import OrderItem, Order
from rest_framework import generics, status, permissions, pagination
from core.permissions import *
from rest_framework.response import Response
from .serializers import *
from django_filters.rest_framework import Dj... | null | core/orders/views.py | views.py | py | 8,279 | python | en | code | null | code-starcoder2 | 51 |
64128467 | # encoding: UTF-8
from __future__ import absolute_import, unicode_literals
from celery import shared_task
from dapps.celeryCommon import RetryableError, Retryable, getMappedAs
from dapps.sinaMaster.worker import thePROG
import dapps.sinaCrawler.tasks_Dayend as CTDayend
import crawler.crawlSina as sina
import crawler... | null | src/dapps/sinaMaster/tasks_Archive.py | tasks_Archive.py | py | 34,068 | python | en | code | null | code-starcoder2 | 51 |
529211345 | alternate_ir = 0.0
apd_Temperature = -9999
confidence_threshold = 1
depth_offset = 4.5
depth_units = 0.000250000011874363
digital_gain = 2
enable_ir_Reflectivity = 0.0
enable_max_usable_range = 0.0
error_polling_enabled = 1
frames_queue_size = 16
freefall_detection_enabled = 1
global_time_enabled = 0.0
host_performance... | null | misc/const.py | const.py | py | 925 | python | en | code | null | code-starcoder2 | 51 |
60173586 | import re
if __name__ == '__main__':
print("<div style=\"margin:2em; background-color: #e0e0e0;\">", end="\n\n")
try:
lines = []
while True:
try:
line = input()
lines.append(line)
except EOFError:
break
lines = filt... | null | docs/data/learn/Bioinformatics/input/prereq_macro_block/input/Main.py | Main.py | py | 576 | python | en | code | null | code-starcoder2 | 51 |
338668698 | from django.shortcuts import render, redirect
from .models import *
from df_user import user_decorator
from django.http import JsonResponse
# Create your views here.
@user_decorator.login
def cart(request):
user_id = request.session.get('user_id')
carts = CartInfo.objects.filter(user_id=int(user_id))
cont... | null | df_cart/views.py | views.py | py | 1,549 | python | en | code | null | code-starcoder2 | 51 |
114539526 | import sys
import os
import hashlib
import urllib.request
def get_hash(name):
readsize = 64 * 1024
with open(name, 'rb') as f:
size = os.path.getsize(name)
data = f.read(readsize)
f.seek(-readsize, os.SEEK_END)
data += f.read(readsize)
return hashlib.md5(data).he... | null | main.py | main.py | py | 1,222 | python | en | code | null | code-starcoder2 | 51 |
400967713 | #!/usr/bin/env python
import rospy
import numpy
import tf
import tf2_ros
import geometry_msgs.msg
def message_from_transform(T):
msg = geometry_msgs.msg.Transform()
q = tf.transformations.quaternion_from_matrix(T)
translation = tf.transformations.translation_from_matrix(T)
msg.translation.x = translation[0]
msg.t... | null | myCode/catkin_ws/src/tf2_examples/scripts/tf2_examples.py | tf2_examples.py | py | 2,269 | python | en | code | null | code-starcoder2 | 51 |
380117872 | # Paul J. Ruess
# University of Illinois at Urbana-Champaign
# Fall 2017
# Personal Research
# US Virtual Water Storage by County
import pandas
### READ IN RAW DATA ###
class alldata:
"""Class for reading in and cleaning harvest, yield,
and storage values from raw USDA data in .csv format"""
... | null | research/grain_storage/archives/calculate_county_vws_0.py | calculate_county_vws_0.py | py | 15,780 | python | en | code | null | code-starcoder2 | 51 |
609285759 | import logging
from qwdeploy import exception
LOG = logging.getLogger(__name__)
class Deploy(object):
"""Deploy a Stack"""
name = 'deploy'
help = __doc__
params = []
def run(self):
raise exception.QwdeployError("command not implemented")
| null | qwdeploy/commands/deploy.py | deploy.py | py | 272 | python | en | code | null | code-starcoder2 | 51 |
549886257 | '''
Using Reddit's api/v1/
'''
import os
import requests
import requests.auth
import sys
import time
from .local_settings import *
from ..write_joke import *
# Files to read and write
jokes = '/Users/joannejordan/Desktop/GitHub/dad-joke-ai/dadjokes-subreddit-\
archive/otherrjokes.csv'
records = '/Users/joannejordan/D... | null | subreddits/limited_results_scripts/reddit_requests.py | reddit_requests.py | py | 4,290 | python | en | code | null | code-starcoder2 | 51 |
580020519 | import numpy as np
import math
import networkx as nx
import pickle,os
from copy import deepcopy,copy
from numpy import linalg as LA
def checks(A,B,e):
for eachA in range(len(A)):
for eachB in range(len(A[0])):
if abs(A[eachA][eachB] - B[eachA][eachB]) > e:
return False
ret... | null | bioDRN/blondel.py | blondel.py | py | 3,679 | python | en | code | null | code-starcoder2 | 51 |
204011246 | ansl = []
MOD = 10**9+7
for _ in range(int(input())):
n,a,b = map(int, input().split())
if a+b > n:
ansl.append(0)
continue
d = n-a-b
no_cross = (d+1)*(d+2)
no_cross %= MOD
ans1 = no_cross * (n-a+1) * (n-b+1)
ans1 %= MOD
cross = (n-a+1)*(n-b+1) - no_cross
ans2 = n... | null | 1_contest/previous/hhkb2020/d.py | d.py | py | 501 | python | en | code | null | code-starcoder2 | 51 |
375993987 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/05/02 13:40
# @Author : c0l0121
# @File : searcher.py
# @Desc :
def binary_search(array, value):
""" 查找所给数值在有序数组中的位置，找不到则返回-1
:param array: 数组
:param value: 待查找的数值
:return: 找到则返回数值在数组中的下标，否则返回-1
"""
ret = -1
start = 0
... | null | data_structure/searcher.py | searcher.py | py | 1,414 | python | en | code | null | code-starcoder2 | 51 |
159965973 | from collections import deque
def wiki(xs):
current_max_len = 0
m = [0 for x in xs]
preds = [0 for x in xs]
longest = 0
for i, x in enumerate(xs):
lo, hi = 1, current_max_len
mid = (lo + hi) // 2
if xs[m[mid]] < x:
lo = mid + 1
else:
hi = mi... | null | longest_increasing_subsequence.py | longest_increasing_subsequence.py | py | 847 | python | en | code | null | code-starcoder2 | 51 |
253861775 | from random import choice
import random
import aiohttp
import discord
from discord.ext import commands
from .utils.chat_formatting import *
from .utils.dataIO import dataIO
from .utils.dataIO import fileIO
from cogs.utils import checks
class TrustyBot:
def __init__(self, bot):
self.bot = bot
self.... | null | trustybot/trustybot.py | trustybot.py | py | 9,979 | python | en | code | null | code-starcoder2 | 51 |
282268603 | #!coding:utf-8
import execjs
import re
import requests
from urllib3 import disable_warnings
from requests import Session
import wx
import io
import time
import uuid
import json
import base64
import sys
import Crypto
import traceback
from Crypto.Cipher import AES
# SECRET_KEY = 'B123JDVgT8WDGOWBgQv6EIhvxl4vDYvUnVdg-Vjd... | null | uploadFiles/ymc/main_old.py | main_old.py | py | 104,427 | python | en | code | null | code-starcoder2 | 51 |
288467779 | # Copyright (c) 2021 The Toltec Contributors
# SPDX-License-Identifier: MIT
"""Build recipes and create packages."""
import shutil
from typing import (
Any,
Deque,
Dict,
Iterable,
List,
MutableMapping,
Optional,
Tuple,
)
from collections import deque
import re
import os
import logging
i... | null | scripts/toltec/builder.py | builder.py | py | 16,413 | python | en | code | null | code-starcoder2 | 51 |
73170860 | #!/usr/bin/env python
# coding: utf-8
import sys
from hashlib import md5
from six import print_
def mine(secret):
i = 0
while True:
current = secret + str(i).encode("ascii")
digest = md5(current).digest()
if digest[0] == 0 and digest[1] == 0 and digest[2] <= 0x0f:
return i
... | null | day4-1.py | day4-1.py | py | 421 | python | en | code | null | code-starcoder2 | 51 |
522031771 | # -*- coding: utf-8 -*-
from pytorchtools import EarlyStopping
import torch
import torch as t
import torch.autograd as autograd
import torch.nn as nn
import torch.optim as optim
from torch_model.Deep_NMT_model import LMLoss
from torch_model.Attention_NMT import AttentionNMT
from data.iwslt_Data_Loader import iwslt_Dat... | null | torch_attention_nmt.py | torch_attention_nmt.py | py | 6,653 | python | en | code | null | code-starcoder2 | 51 |
85523096 |
import pandas as pd
import numpy as np
import nltk
from tensorflow.keras.utils import to_categorical
from nltk import RegexpTokenizer
from nltk.corpus import stopwords, wordnet
try:
nltk.data.find('tokenizers/punkt')
except LookupError:
nltk.download('punkt')
try:
nltk.data.find('corpus/stopwords')
except... | null | src/TextDataset.py | TextDataset.py | py | 5,582 | python | en | code | null | code-starcoder2 | 51 |
431667763 | # Jeff Austin
# 7/16/2019
# Portland State University
# CS350
# Daniel LeBlanche
# HW3
# Merge sort code in pyhton 3
import sys
import random
import time
import math
# merge sort algorithm
# taken from D. LeBlanche's slides: http://web.cecs.pdx.edu/~dleblanc/cs350/sorting.pdf
def merge_sort(A):
if len(A) == 0:
... | null | already_sorted_merge_sort.py | already_sorted_merge_sort.py | py | 2,051 | python | en | code | null | code-starcoder2 | 51 |
460143201 | #Apresentação
print('Conversor de binario para decimal')
print('---------------------------------')
#Valor do numero binario
x = int(input('Digite o numero binario com no maximo 4 digitos: '))
#Calculos e condições
if x >= 1:
dig1 = x % 10
x = x - dig1
rdig1 = x % 100
else:
dig1 = 0... | null | Python/Fabio lista 1/Fabio_01_Q31.py | Fabio_01_Q31.py | py | 707 | python | en | code | null | code-starcoder2 | 50 |
508787170 | from pulp import *
import time as time
import numpy as np
a = 10
NODE_CPU_INDEX = 0
NODE_MEMORY_INDEX = 1
NODE_POD_SPACE_INDEX = 2
POD_CPU_INDEX = 0
POD_MEMORY_INDEX = 1
podList = [
[10, 3],
[10, 1],
[10, 3]
]
nodeList = [
[30, 5, 9],
[40, 3, 7]
]
def schedule_solve(podList, nodeList, VERBOSE =... | null | lp-solver.py | lp-solver.py | py | 2,294 | python | en | code | null | code-starcoder2 | 50 |
585383765 | import tarfile
import numpy as np
from glob import glob
from .utilities import *
# PARSING UTILITY FUNCTIONS ====================================================
def get_files(path, name):
"""Gets list of files from directory."""
return glob(f"{path}**/{name}*.tar.xz") + glob(f"{path}**/{name}*.json")
def ge... | null | scripts/parse.py | parse.py | py | 4,195 | python | en | code | null | code-starcoder2 | 50 |
40251915 | #%% Project Euler Problem 6
# Justin Kim
# Difference between the square of the sum and the sum of the squares
def problem6(n):
sumsq = 0
sqsum = 0
for i in range(n + 1):
sumsq += i**2
sqsum += i
sqsum *= sqsum
ans = sqsum - sumsq
return ans
ans = problem6(100) | null | old/P6.py | P6.py | py | 303 | python | en | code | null | code-starcoder2 | 50 |
417326244 | # Solved by Sunghyun Cho on August 25th, 2018.
houseNum = int(input())
xList = []
yList = []
for a in range(houseNum):
arr = input().split()
xList.append(float(arr[0]))
yList.append(float(arr[1]))
print(sum(xList)/len(xList), sum(yList)/len(yList))
# ????? | null | 4. 우물왕 김배찌/Q4.py | Q4.py | py | 263 | python | en | code | null | code-starcoder2 | 50 |
355276877 | import argparse
import datetime
import os
import pickle
import uuid
import torch
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
from moviepy.editor import VideoFileClip
from torch.autograd import Variable
from torchvision import transforms
from .model import EncoderCNN, DecoderRNN
def ... | null | lib/caption.py | caption.py | py | 2,904 | python | en | code | null | code-starcoder2 | 51 |
228051984 | #WebGen for Windows by Liam Platt
import os
def GetSiteName():
'''Collects a name for the site'''
SiteNameConfirm = "n"
while SiteNameConfirm != "y":
SiteName = input("Enter name of web site: ").lower()
print()
SiteNameConfirm = input("You entered '"+SiteName.title()+"', is this co... | null | WebGen.py | WebGen.py | py | 2,713 | python | en | code | null | code-starcoder2 | 51 |
310143459 | from django.conf.urls import url
from mysite.blog.views import post_list, post_detail, post_new, post_edit
urlpatterns = [
url(r'^$', post_list),
url(r'^post/(?P<pk>[0-9]+)/$', post_detail),
url(r'^post/new/$', post_new, name='post_new'),
url(r'^post/(?P<pk>[0-9]+)/edit/$', post_edit, name='post_edit'... | null | mysite/blog/urls.py | urls.py | py | 325 | python | en | code | null | code-starcoder2 | 51 |
351697920 | from pytorch.finetune.imports import *
from system.imports import *
from pytorch.finetune.level_9_transforms_main import prototype_transforms
class prototype_schedulers(prototype_transforms):
@accepts("self", verbose=int, post_trace=False)
#@TraceFunction(trace_args=True, trace_rv=True)
def __init__(self... | null | monk/pytorch/finetune/level_10_schedulers_main.py | level_10_schedulers_main.py | py | 8,708 | python | en | code | null | code-starcoder2 | 51 |
95110167 | import numpy as np
import time
import pygame
from functools import reduce
import random as ra
from random import randint as ri
import math as ma
from pygame.locals import *
from oop_phy_pygame import *
# инициализация pygame
pygame.init()
# масштаб
p = 1.91
scax = scay = 50 #40*p#87.5*p
# сдвиг, в % от всего изобра... | null | oop_phy_pyg_values.py | oop_phy_pyg_values.py | py | 3,205 | python | en | code | null | code-starcoder2 | 51 |
6415726 | # (C) Datadog, Inc. 2021-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
import os
from pathlib import Path
from datadog_checks.dev.tooling.constants import get_root, set_root
from datadog_checks.dev.tooling.datastructures import JSONDict
from datadog_checks.dev.tooling.manife... | null | datadog_checks_dev/tests/tooling/manifest_validator/test_validator.py | test_validator.py | py | 2,193 | python | en | code | null | code-starcoder2 | 51 |
308466528 | # A test file for HTML reporting by coverage.
def one(x):
# This will be a branch that misses the else.
if x < 2:
a = 3
else:
a = 4
one(1)
def two(x):
# A missed else that branches to "exit"
if x:
a = 5
two(1)
def three_way():
# for-else can be a three-way branch.
... | null | test/farm/html/src/b.py | b.py | py | 434 | python | en | code | null | code-starcoder2 | 51 |
359433116 | # whenever you import a file, python runs the code in that file, thats
# why __name__ variable will be the the name of the file and not __main__
# now if python is running a file directly __name__ == '__main__'
# This way you can run code you only want to run if the file is being ran directly
#
import asyncio_playgro... | null | test_imports.py | test_imports.py | py | 424 | python | en | code | null | code-starcoder2 | 51 |
199638814 | # Objetivo: Receber 2 valores reais. Calcular e mostrar o maior deles.
# Programador: Hugo Leça Ribeiro
# Data de Elaboração: 24.10.2019
def Pmaior(n1, n2):
if (n1 > n2):
print("O maior número entre os dois é: ", n1)
elif n2 > n1:
print("O maior número entre os dois é: ", n2)
else:
... | null | LT01_EstMod19.py | LT01_EstMod19.py | py | 503 | python | en | code | null | code-starcoder2 | 51 |
633401312 | # -*- coding: utf-8 -*-
# Author: Ji Yang <jiyang.py@gmail.com>
# License: MIT
import random
import numpy as np
from PIL import Image
from torch.utils.data import Dataset
from torchvision import transforms
padding = transforms.Compose([transforms.Resize(160),
transforms.Pad(30, padding... | null | salt_dataset_192.py | salt_dataset_192.py | py | 3,801 | python | en | code | null | code-starcoder2 | 51 |
48302102 | for tc in range(1, 11):
n = int(input())
tree = [[0]]
for _ in range(n):
tree.append(list(input().split()))
for i in range(len(tree) - 1, 0, -1):
if len(tree[i]) == 4:
left = int(tree[int(tree[i][2])][1])
right = int(tree[int(tree[i][3])][1])
if tree[i... | null | SWEA/1232-사칙연산.py | 1232-사칙연산.py | py | 647 | python | en | code | null | code-starcoder2 | 51 |
383096748 | import numpy as np
import matplotlib.pyplot as plt
import bicycledataprocessor as bdp
import canonical_system_id as csi
# This gives the proportion of the lateral force which should be added to the
# steer torque and roll torque equations in the canonical equations.
F = {}
for rider in ['Charlie', 'Jason', 'Luke']:
... | null | scripts/canonicalid/fit_canonical.py | fit_canonical.py | py | 3,197 | python | en | code | null | code-starcoder2 | 51 |
156326706 | # coding:utf-8
# --author-- lanhua.zhou
import maya.cmds as cmds
import zfused_maya.node.core.check as check
import zfused_maya.node.core.clear as clear
import zfused_maya.widgets.checkwidget as checkwidget
import zfused_maya.tool.modeling.materialcheck as materialcheck
class ShadingCheck(checkwidget.CheckWidget):
... | null | zfused_maya/zfused_maya/tool/shading/shadingcheck.py | shadingcheck.py | py | 7,569 | python | en | code | null | code-starcoder2 | 51 |
423383072 | def multiplesOf3and5(num):
sum = 0
i = 1
while i < num:
mul3 = i % 3
mul5 = i % 5
if mul3 == 0 or mul5 == 0:
sum += i
i += 1
return sum
print(multiplesOf3and5(1000))
| null | Python/Problem 1: Multiples of 3 and 5.py | Problem 1: Multiples of 3 and 5.py | py | 182 | python | en | code | null | code-starcoder2 | 51 |
285790298 |
n=int(input("enter the no oftimes u want run the operation"))
name=list()
found=list()
def addword(name1):
name.append(name1)
def findprefix(pref):
#print(pref)
for i in name:
if i.startswith(pref):
found.append(i)
for x in found:
print(x,end=" ")
... | null | dictionaryProb.py | dictionaryProb.py | py | 586 | python | en | code | null | code-starcoder2 | 51 |
77461459 | from Tkconstants import LEFT, BOTH, BOTTOM, RIGHT
import Helper
import Menu
import Tkinter as tk
import yahoo_finance as yf
class Stocks(tk.Frame):
def __init__(self, parent, controller):
self.frame = tk.Frame
self.frame.__init__(self, parent, background='red')
self.parent = parent
... | null | src/Stocks.py | Stocks.py | py | 2,636 | python | en | code | null | code-starcoder2 | 51 |
81257666 | from Crypto.Cipher import AES
from Crypto.Random import random
from Crypto.Util.number import long_to_bytes,bytes_to_long
with open("flag_cipher","r") as f:
c = f.read()
f.close()
c = [c[i:i+32] for i in range(0, len(c), 32)]
for i in range(1, len(c)-1):
cipher = AES.new(c[i], AES.MODE_ECB, "")
print(cipher.dec... | null | crypto/[AFCTF2018]MyOwnCBC/fuck.py | fuck.py | py | 333 | python | en | code | null | code-starcoder2 | 51 |
122156768 | import arcpy
#CONSTANT DECLARATIONS
PRIORITY_FIELDNAME = "wdpaid" # this is a bit of a hack but basically we can use this as the priority field to ensure that if the feature in question overlaps the cell by less than 50% then it will be selected
#ENVIRONMENT VARIABLES
arcpy.env.overwriteOutput = True
arcpy.env.ou... | null | src/ProtectedAreaToRaster.py | ProtectedAreaToRaster.py | py | 799 | python | en | code | null | code-starcoder2 | 51 |
253514360 | import logging
import MySQLdb
from common import ItemContainsNull
class MySqlPipeline(object):
def open_spider(self, spider):
self.conn = MySQLdb.connect('IP', 'USERNAME', 'PASSWORD', 'TABLENAME', charset="utf8", use_unicode=True)
self.cursor = self.conn.cursor()
def close_spider(self, spider):
self.conn.clos... | null | PriceInformation/pipelines.py | pipelines.py | py | 724 | python | en | code | null | code-starcoder2 | 51 |
357031212 | from random import randint as age
prove = print
class Phil:
In = {
2002: "I graduated from EE, TKU, and served in the Army.",
2004: "I entered an IC design house writing ATE programs.",
2005: "I enrolled in EE, NTNU for a master's degree.",
'the present': "I've become a teacher, sys... | null | PP.py | PP.py | py | 620 | python | en | code | null | code-starcoder2 | 51 |
614471316 | # -*- coding:utf-8 -*-
#
# Copyright (C) 2008 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | null | subcmds/init.py | init.py | py | 20,026 | python | en | code | null | code-starcoder2 | 51 |
375771591 | # This code is mainly excerpted from openai baseline code.
# https://github.com/openai/baselines/blob/master/baselines/common/atari_wrappers.py
import numpy as np
from collections import deque
import gym
from gym import spaces
import cv2
from abc import ABC,abstractmethod
from multiprocessing import Process, Pipe
from ... | null | Distributional_RL/wrappers.py | wrappers.py | py | 13,103 | python | en | code | null | code-starcoder2 | 51 |
279632711 | import argparse
import tokenizer
def read_data_from_file(file_path):
f = open(file_path, 'r')
ret = f.read()
f.close()
return ret
def main(args):
dict_tokens = tokenizer.Tokenizer(read_data_from_file(args.dict))
dict_set = set()
cur = dict_tokens.next_token()
while cur is not None:
... | null | semester-1/fundamentals-of-computer-science/python/4-mistakes.py | 4-mistakes.py | py | 806 | python | en | code | null | code-starcoder2 | 51 |
242464468 | #!/usr/bin/env python
# ------------------------------------------------------------------------------------------------------%
# Created by "Thieu Nguyen" at 09:33, 16/03/2020 %
# ... | null | mealpy/evolutionary_based/GA.py | GA.py | py | 4,291 | python | en | code | null | code-starcoder2 | 51 |
615031076 | from flask import Flask,request,jsonify
import telebot
import json
token="781229574:AAGC6K39EQ1VNcf2RTOlLpXg_KWoHPAZTI"
app = Flask(__name__)
bot=telebot.TeleBot(token)
@app.route('/',methods=["POST","GET"])
def hello_world():
bot.set_webhook("https://weatherbetabot.herokuapp.com/")
if request.method == "PO... | null | app/__init__.py | __init__.py | py | 522 | python | en | code | null | code-starcoder2 | 51 |
6181075 | #import gevent.monkey
#gevent.monkey.patch_all()
from flask_sqlalchemy import SQLAlchemy
from flask import Flask, render_template, request, Response
from flask_socketio import SocketIO, join_room, emit
import game
from game import RequestDenied
# initialize Flask
from pylti.flask import lti
VERSION = '0.0.1'
app = Fla... | null | memory.py | memory.py | py | 8,399 | python | en | code | null | code-starcoder2 | 51 |
367143759 | import operator
def calculate_distance(self):
all_distances = []
for house in self.houses.values():
x_house, y_house = house.x, house.y
house_diff = {}
counter = 0
for battery in self.batteries.values():
x_batt, y_batt = battery.x, battery.y
x_diff = abs(... | null | test_scripts/test_area/hill_test/4th Time(ex-slowdown)/helpers.py | helpers.py | py | 3,652 | python | en | code | null | code-starcoder2 | 51 |
253470660 | # -*- coding: utf-8 -*-
from plone import api
from ftw.testbrowser import browsing
from ftw.testbrowser.pages import factoriesmenu
from opengever.testing import IntegrationTestCase
from zope.annotation.interfaces import IAnnotations
class TestCreateDocFromOneoffixxTemplate(IntegrationTestCase):
def setUp(self):
... | null | opengever/oneoffixx/tests/test_oneoffixx.py | test_oneoffixx.py | py | 2,659 | python | en | code | null | code-starcoder2 | 51 |
3002260 |
# coding: utf-8
# In[1]:
import helper
import matplotlib.pyplot as plt
from keras.applications import *
from keras.callbacks import EarlyStopping
import os
# In[2]:
#设置各种参数
train_path = ['./data/train2/cat', './data/train2/dog']
test_path ='./data/test1/test1'
img_size =(299,299)
layer_num = 125
model_image ='.... | null | p6_p7/py/fine_tuning_xception_no_outliers_final.py | fine_tuning_xception_no_outliers_final.py | py | 2,225 | python | en | code | null | code-starcoder2 | 51 |
126437936 | from core.exceptions.exceptions import OptionValidationError
class Option(object):
def __init__(self, default, advanced=False):
self.label = None
try:
self.advanced = bool(advanced)
except ValueError:
raise OptionValidationError("Invalid value. Cannot cast '{}' to... | null | core/resources/Option.py | Option.py | py | 3,323 | python | en | code | null | code-starcoder2 | 51 |
628289279 | #!/usr/bin/env python3
import tensorflow
import tensorflow.compat.v1 as tf
from IPython import embed
class Net(object):
''' CNN base
'''
_X = None
_y = None
_num_labels = None
_one_hot_y = None
_mean = None
_stddev = None
_saver = None
_learn_rate = None
_dropout = None
... | null | python/model.py | model.py | py | 7,311 | python | en | code | null | code-starcoder2 | 51 |
405732069 | def run(level):
with open(f'output/{level}.txt', 'r') as f:
s0 = [int(x[:-1]) for x in f.readlines()]
with open(f'result/{level}.normal', 'r') as f:
s1 = [int(x[:-1]) for x in f.readlines()]
ret = [(max(s1[idx], s0[idx])/(min(s1[idx], s0[idx])+1e-1), idx) for idx in range(len(s1))]
re... | null | lab2/analyse.py | analyse.py | py | 560 | python | en | code | null | code-starcoder2 | 51 |
407870143 | from django import template
from django.templatetags.static import static
register = template.Library()
# Django incluison tag plays elegant way to separete bootstrap template logic
# from app template, that separation is need for theme the projects_type
# Pass in kwargs the elements to fill the cards
# Please note ... | null | core/templatetags/general_tags.py | general_tags.py | py | 640 | python | en | code | null | code-starcoder2 | 51 |
407203490 | import sys
import os
import argparse
# Add parent directory to path to import general.py
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
# Import ../general.py
from general import *
TEST_NAME = "network"
CLIENT_NAME = "client-ngtcp2"
CLIENT_IMPLEMENTATION = "ngtcp2"
QUIC_RESULTS_DIR =... | null | scripts/network/network-emu-test.py | network-emu-test.py | py | 2,979 | python | en | code | null | code-starcoder2 | 51 |
606423008 |
import numpy as np
import paddle
from tqdm import tqdm
from .abc_interpreter import Interpreter
from ..data_processor.readers import preprocess_inputs, preprocess_save_path
from ..data_processor.visualizer import explanation_to_vis, show_vis_explanation, save_image
class SmoothGradInterpreter(Interpreter):
"""
... | null | interpretdl/interpreter/smooth_grad.py | smooth_grad.py | py | 5,840 | python | en | code | null | code-starcoder2 | 51 |
367475446 | import xml.etree.ElementTree as ET
import cv2
import numpy as np
import os
import glob
import matplotlib.pyplot as plt
from pathlib import Path
global radius
radius = 5
def visualize_hsv(flow, name):
flow = flow.astype("float32")
hsv = np.zeros((flow.shape[0], flow.shape[1], 3))
hsv[..., 1] = 255
# ... | null | utils/cmf_gen_pseudo.py | cmf_gen_pseudo.py | py | 8,767 | python | en | code | null | code-starcoder2 | 51 |
442061271 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# Author: Peter. Wong
# @Time: 2018/12/29 10:17
import numpy as np # numpy库
from sklearn.ensemble.gradient_boosting import GradientBoostingRegressor # 集成算法
from sklearn.model_selection import cross_val_score # 交叉检验
from sklearn.metrics import explained_variance_score, mean... | null | Data_Analysis/131-2300/GBR_VA.py | GBR_VA.py | py | 3,439 | python | en | code | null | code-starcoder2 | 51 |
581015693 | import re
from plugins.uptime import Uptime
from plugins.nsfw_image_detector import NSFWImageDetectorPlugin
from plugins.read_links import ReadLinks
from plugins.psywerx_history import PsywerxHistory
from plugins.psywerx_groups import PsywerxGroups
from plugins.psywerx_karma import PsywerxKarma
import settings
clas... | null | src/logic.py | logic.py | py | 4,222 | python | en | code | null | code-starcoder2 | 51 |
28002487 | from __future__ import print_function
import numpy as np
import time
import math
from ..box import centered_box
from ..tensor import WritableTensorData as WTD, \
WritableTensorDataWithMask as WTDM
from ..emio import imsave
def prepare_outputs(spec, locs, blend=False, blend_mode='', stride=None):
blend_pool =... | null | python/dataprovider/inference/blend.py | blend.py | py | 8,556 | python | en | code | null | code-starcoder2 | 50 |
6401508 | #coding=utf8
#__author__chry
#__date:2018/4/23
from multiprocessing import Process,Manager
def f(d,l,n):
d[n] = '1'
d['2'] = 2
d[0.25] = None
l.append(n)
print(l)
if __name__=='__main__':
with Manager() as manger:
d = manger.dict()
l = manger.list(range(5))
p_list=[]
for i in range(10):
p=Process(targe... | null | threading_learing/Manger.py | Manger.py | py | 405 | python | en | code | null | code-starcoder2 | 50 |
524586540 | import sys
TODO_FILE = 'todo.txt'
ARCHIVE_FILE = 'done.txt'
RED = "\033[1;31m"
BLUE = "\033[0;34m"
CYAN = "\033[1;36m"
GREEN = "\033[0;32m"
RESET = "\033[0;0m"
BOLD = "\033[;1m"
REVERSE = "\033[;7m"
YELLOW = "\033[0;33m"
ADICIONAR = 'a'
REMOVER = 'r'
FAZER = 'f'
PRIORIZAR = 'p'
LISTAR = 'l'
def printCore... | null | projeto.py | projeto.py | py | 10,348 | python | en | code | null | code-starcoder2 | 50 |
306174066 |
import argparse
import os
import torch
import posenet
def valid_tensor(s):
msg = "Not a valid resolution: '{0}' [CxHxW].".format(s)
try:
q = s.split('x')
if len(q) != 3:
raise argparse.ArgumentTypeError(msg)
return [int(v) for v in q]
except ValueError:
raise a... | null | export.py | export.py | py | 2,056 | python | en | code | null | code-starcoder2 | 50 |
63967556 | from socket import *
import sys
from time import ctime
# 收集命令行信息(字符串类型)，将参数传进来，作为对应的IP地址和端口号．
HOST = sys.argv[1]
PORT = int(sys.argv[2])
ADDR = (HOST, PORT)
BUFFERSIZE = 1024
# 1.创建数据报套接字
sockfd = socket(AF_INET, SOCK_DGRAM)
# 设置套接字选项,将端口号设置为立即重用
sockfd.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
# 2.绑定本地IP和端口号
sockf... | null | aid1805/PythonNet/day02/udp_server.py | udp_server.py | py | 707 | python | en | code | null | code-starcoder2 | 50 |
108698527 | import FWCore.ParameterSet.Config as cms
process = cms.Process("Analyzer")
## configure message logger
process.load("FWCore.MessageLogger.MessageLogger_cfi")
process.MessageLogger.cerr.threshold = 'INFO'
process.MessageLogger.cerr.FwkReport.reportEvery = 10
## define input
process.source = cms.Source("PoolSource",
... | null | PhysicsTools/JetMCAlgos/test/genHFHadronMatcher.py | genHFHadronMatcher.py | py | 1,166 | python | en | code | null | code-starcoder2 | 50 |
222406497 | from tkinter import *
class WidgetsDemo:
def __init__(self):
window = Tk()
window.title("Widgets Demo")
frame1 = Frame(window)
frame1.pack()
self.v1 = IntVar()
cbtBold = Checkbutton(frame1,text = "Bold",
variable = self.v1,
... | null | zz/python二级/tkinter Demo.py | tkinter Demo.py | py | 840 | python | en | code | null | code-starcoder2 | 51 |
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