index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
14,700 | fd1ecf99dabb3f1472bb830ae9ea8bf92cd0de0f | #!/usr/bin/env python
"""Tool to launch ROS and setup environment variables automagically."""
import argparse
import os
import socket
def get_local_ip():
"""Get local ip address."""
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
try:
# doesn't even have to be reachable
sock.conne... |
14,701 | f152faae7b89e7377902462fa8b04778c29862af | import re
from datetime import datetime, timedelta
from settings import *
import math
from urllib.request import urlopen
from bs4 import BeautifulSoup
from firebase import firebase
METRE_CONVERSION = 0.3048 # to convert from feet to metres
def getTideTimesAndTideHeights():
"""scrapes www.tide-forecast.com to col... |
14,702 | 0e44bdc4e4dffea2e2e57615aadd3e3c67c0da03 | #Day059 - json and REST APIs
city = input('Enter your city: ')
myAPI = "http://api.openweathermap.org/data/2.5/weather?q="+city+"&appid=526f48b568ce72f1ccfdc6cff57d7392"
import requests
response = requests.get(myAPI)
weather_data = response.json()
weather_data['cod']
#http://api.openweathermap.org/da... |
14,703 | 8ec6f46ef73aaeba4a57c1bd99ea60c1bdb1a1fb | from django.urls import path
from Trinamic import local_views
app_name = 'Trinamic'
urlpatterns = [
path('test', local_views.index, name='test'),
path('product-center/<int:p_id>/<int:c_id>', local_views.product_center, name='product-center'),
path('item-detail/<int:item_id>', local_views.item_detail, name... |
14,704 | 37729ab85578a238df08152f8b84c462b2a09ef7 | # -*- coding: utf-8 -*-
"""
Created on Sat Jan 27 2018
@author: Francesco
"""
# ELABORAZIONE DATI JSON
import json
from pprint import pprint
## carica un oggetto da un file
with open("Domini_min.json") as in_json:
data_json = json.load(in_json)
pprint(data_json["listaDomini"][0]) |
14,705 | 0cceb7835e612ca5859e13476f5eeac74c5b3512 | from odoo import models, fields, api, _
from odoo.exceptions import UserError
class NamaModel(models.Model):
_inherit = 'res.partner'
identity_number = fields.Char(
string="KTP Number"
)
father_name = fields.Char(
string="Father's Name"
)
mother_name = fields.Char(
string="Mother's Name"
)
... |
14,706 | a92346af784d641bdb9212dc0c92e9f7c624b313 | # Generated by Django 3.1.7 on 2021-03-19 21:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('NavigationApp', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='vehicle',
name='id',
... |
14,707 | 86b0459e8184b41195c515ce57b0f512f81eda8a | # coding: utf-8
import sys
from setuptools import setup, find_packages
NAME = "wavefront-client"
VERSION = "2.1.0"
# To install the library, run the following
#
# python setup.py install
#
# prerequisite: setuptools
# http://pypi.python.org/pypi/setuptools
REQUIRES = ["urllib3 >= 1.10", "six >= 1.9", "certifi", "... |
14,708 | 74d82b62feeaba00fbe067ac55a9efb4ec1e1bd3 | import pandas
from bokeh.layouts import column
from bokeh.models import ColumnDataSource, RangeTool
from bokeh.plotting import figure, output_file, show
#Reading the HTML data into a Pandas dataframe
df = pandas.read_html("https://coinmarketcap.com/currencies/bitcoin/historical-data/?start=20190220&end=20190320")[0... |
14,709 | 04909af7a7f3fc71ea6f172a650d5717f3022bbe |
import names
import pandas as pd
import numpy as np
import base64
import io
'''
Generate random guests list
:parameter
:param n: num - number of guests and length of dtf
:param lst_categories: list - ["family", "friends", "university", ...]
:param n_rules: num - number of restrictions to apply (ex. if 1 ... |
14,710 | 7ccab455d48a66f7ae21604103982ef58f4aca1f | import subprocess
from Systems.NV import nv_parser
from settings import NV_PATH, NV_BATFISH
from Systems.systems import System
class NVInterface(System):
def __init__(self):
super().__init__()
self.compare_items = [
'Node',
'Network',
'Next_Hop',
'... |
14,711 | ddbcc6238e3416bc98596c22e857da29fd706e38 | from django.views.generic import TemplateView
from fluent_pages import appsettings
class RobotsTxtView(TemplateView):
"""
Exposing a ``robots.txt`` template in the Django project.
Add this view to the ``urls.py``:
.. code-block:: python
from fluent_pages.views import RobotsTxtView
... |
14,712 | eca658fff2a200e18e135bb43a16f4d443929258 | from flask import jsonify, request, url_for, current_app, abort
from .. import db
from ..models import Endereco, EnderecoSchema, Permissao, Bairro
from . import api
from .errors import forbidden, bad_request2
from sqlalchemy.exc import IntegrityError, OperationalError
from marshmallow.exceptions import ValidationError
... |
14,713 | a1b9960618a447041dd74a8a8c09c254b0efebbe | import urllib.request as ur
import matplotlib.pyplot as plt
import urllib.parse
import requests
import json
import datetime
import sys
import os.path
api_url_base = 'https://stat.ripe.net/data/'
def get_country_asn(country_code):
api_url = '{}country-asns/data.json?resource={}&lod=1'.format(api_url_base, countr... |
14,714 | 8ab17693bc32b01d899c58726e5db0fe8cbd716c | from learnable_encryption import BlockScramble
import numpy as np
def blockwise_scramble(imgs,key_size = 4):
x_stack = None
for k in range(8):
tmp = None
# x_stack = None
for j in range(8):
key_file = 'key4/'+str(0)+'_.pkl'
bs = BlockScramble( key_file )
out = np.transpose(imgs,(0, 2, ... |
14,715 | de9e199d1616964222d9e0d5d83307a563df076e | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
loa... |
14,716 | 90f7dcf08c643efeb6ce99a0f4c14b6330cb48e6 | def make_keys():
d={}
f=open('words.txt')
t=[]
for line in f:
t=t+line.split()
for element in t:
d[element]=''
return d
print make_keys()
|
14,717 | a2fcaff20b61451ade6da032eab2517cde45629d | #!/usr/bin/python
#--------------------------------------------------------------------------------------------------
#-- systemDivisions
#--------------------------------------------------------------------------------------------------
# Program : systemDivisions
# To Complie : n/a
#
# Purpose :
#
# Called By ... |
14,718 | cf918b37e8e80db68b89f5a2316ccc789e35de4c | from __future__ import print_function, division
import sys, json, warnings
import numpy as np
import scipy.optimize
from ..data import Trace
from ..util.data_test import DataTestCase
from ..baseline import float_mode
from .fitmodel import FitModel
from .searchfit import SearchFit
class Psp(FitModel):
"""PSP-like... |
14,719 | 46246203684cefe976b065f835593f35bdfb48b7 | from multiprocessing import Process
import time
#一种直接使用多进程函数的方法
def f(name):
time.sleep(1)
print('hello',name,time.ctime())
if __name__ == '__main__':
p_list = []
for i in range(5):
p = Process(target=f,args=('xiaoming',))
p_list.append(p)
p.start()
#for p in p_list:
... |
14,720 | 33834044bf04ef70d8910672348711dd73aceaa3 | # # 路由的功能
# # 伪静态实现
# # 正则版路由
# # 增删改查系
# # 日志相关系
# import urllib
# # url编码
# result = urllib.parse.quote("http://www.test.com/wd=逸鹏说道")
# print(result)
# # url解码
# new_result = urllib.parse.unquote(result)
# print(new_result)
# # 把键值对编码为url查询字符串
# result = urllib.parse.urlencode({"wd": "逸鹏说道"})
# print(result)
# ... |
14,721 | bb6b6b2efbbbcf50f5a5cd71e3f9c2529fef0fc6 | import json
from ui import qtx
class Settings:
'''Class that looks like a normal dictionary, but is persistent.
The persistence is backed by registry via QSettings service.
Attention: known deviations from normal dict behavior:
* saving tuples will return a list.
'''
def __i... |
14,722 | 1a23032a41d3ce1ad5480fb9879942bf16751314 | # -*- coding: utf-8 -*-
from Cluster import Cluster
class KMedias:
def __init__(self, datos, headers):
self.datos = datos
self.headers = headers
def armarCluster(self, cantCluster, repeticiones):
self.Kclusters = cantCluster
self.repeticiones = repeticiones
#lista de c... |
14,723 | 27226ea0f0eca96ab4e3f8876e8feded50c7eba0 | from typing import List
class RotateImage:
"""
Problem: Rotate Image (#48)
Problem Description:
Given n x n 2D matrix, rotate the image by 90 degrees (clockwise)
Must rotate the image in-place (do not allocate another 2D matrix)
Key Insights:
1. Rotate values counter clockwise, ex left c... |
14,724 | 3c8907eda8b61bc8bdaccf5102f0de837aa484f2 | {
'includes':[
'../common/common.gypi',
],
'targets': [
{
'target_name': 'tizen_download',
'type': 'loadable_module',
'sources': [
'download_api.js',
'download_extension.cc',
'download_extension.h',
'download_instance.cc',
'download_instance.h',
... |
14,725 | dff4298ae886c8d2b9aa2481a88426201a93399d | a=int(input())
summer=0
while a>0:
s=a%10
summer=summer+s
a=a//10
summer=str(summer)
t=summer[::-1]
if t==summer:
print("YES")
else:
print("NO")
|
14,726 | d21fd4117f70040800939401bc4d020d97c224cc | """
-------------
Dropdown menu
-------------
Usually used in tables to add actions for rows.
"""
# 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... |
14,727 | 9768b857da88ff8d45ae7960851a2e8beb684c5d | import json
from PyInquirer import prompt, Separator # type: ignore
import requests
from apihandler import APIHandler
from move import Move
class Pokemon():
"""
A class to represent a Pokemon
Attributes:
id: int
Pokedex ID of the pokemon
name: str
Name of the pokemon
types:... |
14,728 | d4544ee7e6fb92e4a15bcc9416f04725eb2d658a | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jan 31 10:46:24 2022
@author: baptistelafoux
"""
import cv2
import numpy as np
import matplotlib.pyplot as plt
from scipy.ndimage import zoom, gaussian_filter
from utils.graphic import get_moviename_from_dataset
from utils.loader import dataloader
... |
14,729 | 7997a37ee5716ad0cd7e6c4030f4b66a5045a092 | import unittest
import numpy as np
import pandas as pd
import scipy.stats
import sklearn.metrics
import subprocess
import os
import wot.ot
class TestOT(unittest.TestCase):
"""Tests for `wot` package."""
def test_same_distribution(self):
# test same distributions, diagonals along transport map should... |
14,730 | 6c92e05e5729074f0f5c15751edcd2ad075c8a52 | # L=[23,45,66,77,22,21,24,22], sort it in descending order. No lib should be used.
L=[23,45,66,77,22,21,24,22]
for i in range(len(L)-1):
for j in range(i+1,len(L)):
if L[i]<L[j]:
temp = L[i]
L[i] = L[j]
L[j] = temp
print(L) |
14,731 | a06330b9fb47412abd14a0b2a85b3582dafcb469 | class human:
fp='priti'
def __init__(self,eyes,foot):
self.e=eyes
self.f=foot
def details(self,name,bldgroup):
self.n=name
self.b=bldgroup
def display(self):
print("human eyes=",self.e)
print("human foot=",self.f)
print("human name=",sel... |
14,732 | e6f04a28a921110d9ccc4791fb14ad69846c2476 | import array
import hashlib
import csv
from progressbar.bar import ProgressBar
from Crypto.Hash import SHA256
class PrecursorUsb:
def __init__(self, dev):
self.dev = dev
self.RDSR = 0x05
self.RDSCUR = 0x2B
self.RDID = 0x9F
self.WREN = 0x06
self.WRDI = 0x04
s... |
14,733 | 5987d6cd40e4f586cc0d66a6e36958c764eb0a17 | def findLengthOfLCIS(nums: list) -> int:
if not nums:
return 0
count = 1
result = 0
for i in range(1, len(nums)):
if nums[i] > nums[i - 1]:
count += 1
else:
result = max(result, count)
count = 1
return max(result, count)
if __name__ ... |
14,734 | de5e8ff40325c08dbf869ead1073a84c86ae261f | def question_5(first_name, last_name):
return(print("My full name is " + first_name + " " + last_name))
|
14,735 | 0720391e108eee2ac3d99af6c31e80cf58b14542 | from django.db import models
# Create your models here.
class Mineral(models.Model):
UNIT_TYPE = (
('mg', 'miligram'),
('μg', 'mikrogram'),
)
mineral_name = models.CharField(max_length=150)
mineral_symbol = models.CharField(max_length=50)
mineral_unit = models.CharField(max_length=1... |
14,736 | 376aa91efd798eb4c853fbc40123e3c7ff2496ad | a=list()
n=input()
b=input()
for i in range(0,int(n)):
d=input()
a.append(d)
a=''.join(a)
print(a)
if b in a:
print("Yes")
else:
print("No")
|
14,737 | 56d0be39d170bf26875544f3bf618cac043e5981 | import numpy as np
import random
class Graph:
def __init__(self, numVertices, maxEdgeWeight=100,edgeProb=None, avgNumEdges=None, noEdges=False):
self.numVertices = numVertices
self.maxEdgeWeight = maxEdgeWeight
self.E = [[] for i in range(self.numVertices)]
#Create Graph w... |
14,738 | a676cab9a3a281c2f453d9e457bda81f66262e10 | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='find some suspicious behaviours of trader.',
author='chirag',
license='',
)
|
14,739 | 71e4bbd70f3e7145e0758b595c4ceff6b1edfd76 | from keras.models import model_from_json
import numpy
import os
# SECTION 1 - Load the model
# By now all of this should be pretty clear for you.
# Still, check out the relevant Keras manual entry
# https://keras.io/models/about-keras-models/
json_file = open('model.json', 'r')
loaded_model_json = json_file.read()
... |
14,740 | 5b186229922b0d6399707781537ac6d875894350 | from django.contrib import admin
from .models import UrlShort
admin.site.register(UrlShort)
|
14,741 | 80e0bccb2cfa7cbc4c6aabc1dfa37e43f97d49b6 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import cv2
import argparse
import json
import os
import random
import sys
import numpy as np
import tensorflow as tf
import numpy as np
#print(path+'/fisr.png')
batch_size = 128
num_of_classes=3
image_size=... |
14,742 | 92fd7c33bbb6b5c8438f57a7decdc8aa3ecc257e | from OpenGLCffi.GL import params
@params(api='gl', prms=['mode', 'indirect', 'drawcount', 'maxdrawcount', 'stride'])
def glMultiDrawArraysIndirectCountARB(mode, indirect, drawcount, maxdrawcount, stride):
pass
@params(api='gl', prms=['mode', 'type', 'indirect', 'drawcount', 'maxdrawcount', 'stride'])
def glMultiDraw... |
14,743 | 9b60a1554c8c839323e72c729fa50a7711a7e7a8 | #from number_recognition import *
import random
import math
import numpy as np
import jsonpickle
import atexit
import json
import keyboard
from tkinter import Tk,Canvas, font
with open("./save_net.json") as f:
print("Starting importing net...")
net = jsonpickle.decode(f.read())
print("Import net... |
14,744 | fdc1df77b6903164db1616bfaf7cfc14ce890936 | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 20 12:15:56 2020
@author: 426-2019级-1
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib
plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号
df = pd... |
14,745 | 9088af991ca128e85550708cbddddf45af963d56 | # -*- coding:utf-8 -*-
import socket
s=socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(('www.bilibili.com', 80))
s.send(b'GET /HTTP/1.1\r\nHost:www.bilibili.com\r\nConnection:close\r\n\r\n')
buffer=[]
while True:
d=s.recv(1024)
if d:
buffer.append(d)
else:
break
data=b''.join(buffer)
s.close()
hea... |
14,746 | a77ed31a71760f495bdfed54cbe1295c506714c3 | from pyspark.sql.functions import *
import csv
from pyspark.sql.types import *
from pyspark.sql.functions import *
from pyspark import SparkContext
from pyspark.sql import HiveContext
from pyspark.sql.functions import *
from pyspark.sql.functions import udf
from pyspark.sql.types import BooleanType
from pyspark.sql imp... |
14,747 | 31a9533a17422cf19cd4b2880499c0bf8d310df5 | # Generated by Django 2.2.7 on 2019-11-30 04:15
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('sightings', '0009_auto_20191129_0902'),
]
operations = [
migrations.AlterField(
model_name='new_sighting',
name='Lat... |
14,748 | 9b152afba43afe835957dcab49d98dd66d3d3e65 | from urllib.request import urlopen
WORD_URL="http://learncodethehardway.org/words.txt"
WORDS=[]
#for word in urlopen(WORD_URL).readlines():
#WORDS.append(str(word.strip(), encoding='utf-8'))
#print(WORDS)
print(b"adjustment\n".strip())
|
14,749 | acfe875629dc508aae710e1da80a9d2d71885217 | class Bread:
def __init__(self):
self.current_price = 0.80
self.id = 'Bread'
self.discount = False
self.price = 0.80
def apply_discount(self, discount):
self.discount = True
return self.price * discount
def __repr__(self):
return f"{self.id} - {self... |
14,750 | d606013330f22f10c4732da07609b28cf04744a7 | from django.db import models
from django.utils.translation import gettext as _
import uuid
class Breed(models.Model):
class Meta:
verbose_name = _('Breed')
verbose_name_plural = _('Breeds')
title = models.CharField(_('title'), max_length=64,
blank=False, unique=T... |
14,751 | 7a38d8535d07c29dde2abf7cabf28527bee48377 | """
objective 3 : two points on two consecutive sections
"""
import overpy
from geopy.geocoders import Nominatim
from method import *
def give_location3(api, nodes, name, addr,lat1,lon1,lat2,lon2):
''' Give the full location
:param nodes: The list of all nodes of the road
:param name: The name of the ro... |
14,752 | fe23b5790679d3a037e8df0e88fc17966300d448 | from django.shortcuts import render
from django.http import HttpResponse
import pandas as pd
import json
# from django import jsonify
import os
from .models import Greeting
from django.views.decorators.csrf import csrf_protect
import digitaldivide.src.digitaldivide as digitaldivide
# Create your views here.
def index(r... |
14,753 | 9e7a9d8c68f3d1fd7862b00659e3cd669fa07da8 | import ffmpeg
vid = ffmpeg.probe("man_running.mp4")
print(vid["streams"])
metadata = vid["streams"][0]
print(metadata)
print(metadata["r_frame_rate"]) |
14,754 | a15283d6ae2f6da67d9471955b8cf8fb7068401a | # 1 - Import library
import sys
sys.path.insert(0, '/storage/home/django_learn/pygame/src')
import os
import math
from random import random, randint
import imgaud
import core
import time
import pygame
from pygame.locals import *
from src import core
class SpaceAdv(core.SpaceAdvCore):
def menu(self):
posit... |
14,755 | 407c5672f72a0a591bd66a4e75dbeb0eb4f3a4ce | import datetime
class Test:
def __init__(self, testid):
self.__testid = testid
self.__questions = []
self.__noofq = 0
self.__maxmarks = 0
self.__level = None
self.__date = datetime.datetime.now()
def DesignTest(self):
testid = input("Test id: ")
... |
14,756 | 5bd95b5c96338b070ae50d046c29d29f084a6b57 | from featurehub.tests.util import EPSILON
from featurehub.modeling.scorers import ndcg_score, rmsle_score
from featurehub.modeling.scorers import ndcg_scorer, rmsle_scorer
from featurehub.modeling.automl import ndcg_autoscorer, rmsle_autoscorer
import numpy as np
def test_ndcg():
y_true = np.array([1,0,2])
y... |
14,757 | ccaa76129cdbdc67952ab8b858aff997e93b1eeb | from ._Actions import *
from ._SetControlMode import *
|
14,758 | 6c60bc48907dac1cf6ec5076d26ec1b786d85b0f | # Generated by Django 3.2.6 on 2021-08-28 03:26
import aseb.core.db.fields
import aseb.core.db.utils
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.db.models.functions.datetime
import django_editorjs_fields.fields
class Migration(migrations.Mi... |
14,759 | 7395de8434cbd2f7447c62574644093c3f6b3b23 | import pretty_midi
from scipy.io import wavfile
import numpy as np
class ChordiumException(Exception):
pass
class IDontKnowThatChord(ChordiumException):
pass
def f64le_to_s32le(data):
shifted = data * (2 ** 31 - 1) # Data ranges from -1.0 to 1.0
ints = shifted.astype(np.int32)
return ints
... |
14,760 | aee54c333e563b9fbeb4df9af093e94fc56d37c3 | import math
class Knot:
def __init__(self, kn_id, x, y, kn_type, angleSupport, k=[0, 0, 0], pointload=[0, 0, 0]):
self.id = kn_id
self.x_ = x
self.y_ = y
self.pointLoad_ = pointload
self.type = kn_type
self.angle = math.degrees(angleSupport) # in degree
self.... |
14,761 | 485fe3cfc6cd31971cee7c837fc2980cc443578c | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 30 23:15:33 2019
@author: marco
Nome: Marcos Vinicius Timoteo Nunes Matricula: 16.2.8388
Disciplina: Aprendizagem de Maquina
Professor: Luiz Carlos Bambirra
Obs: Lembrar de comentar DO TREINAMENTO PARA BAIXO, PARA RODAR
Depois disso, pode descomentar e rodar novam... |
14,762 | c8a0488d22ab0178add20e4877362a74d5ba21d6 | import numpy as np
import cv2
import threading
import Object
import StopLine
from model import NeuralNetwork
class CollectTrainingData(object):
def __init__(self, client, steer):
self.client = client
self.steer = steer
self.stopline = StopLine.Stop()
self.dect =... |
14,763 | 1b536837235b5598d71ef64ef055f323900320b5 | import os
from ..applescript import osascript
ITERM = os.path.join(os.path.dirname(__file__), "iterm.applescript")
ITERM_BRACKETED = os.path.join(os.path.dirname(__file__), "iterm_bracketed.applescript")
def send_to_iterm(cmd, bracketed=False, commit=True):
if bracketed:
osascript(ITERM_BRACKETED, cmd, s... |
14,764 | 7409b02753022a523bdd964e1f549fa7b6b6554d | import pygame.font
class Buttom ():
"""Кнопка в игре"""
def __init__(self, pa_settings, screen, msg):
"""Инициализируем кнопку"""
#self.pa_settings = pa_settings
self.screen = screen
self.screen_rect = screen.get_rect()
#Назначение размеров и свойств кнопки
... |
14,765 | 77b15ea90cb722fa2a2f606a6935477554ec60d5 | from rest_framework import serializers
from .models import IpAddress
class IpAddressSerializer(serializers.ModelSerializer):
class Meta:
model = IpAddress
fields = '__all__'
read_only_fields = ('ip_address','status',) |
14,766 | 5c98c99f636fbd0447e580862240582df9875a08 | import sys
from db import connect_db
c = connect_db()
cur = c.cursor()
# 2.g
def pop_obmocja(x, y, distance):
cur.execute(
"select sum(population) from naselje where x > {} and y > {} and x < {} and y < {}".format(x - distance,
... |
14,767 | 4599be3b262babffe85eb104207e301948767c19 | def sum_floats(nums):
return (sum([i for i in nums if isinstance(i, float)]))
print(sum_floats(['a',1,'f',3.2,4,3.25])) |
14,768 | e39ff197a9a3a27e9dd66aa9049b517cb0c710ae | # encoding: utf-8
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'PackageDistribution'
db.create_table('repo_packagedistribution', (
('id', self... |
14,769 | 5b5cb02c2ea8dcd994d1e8028c8362f207063ccc | from account import Account
def main():
loop = True
while loop:
i_d = input("Enter your ID, or press ENTER: ")
if i_d == "":
break
elif float(i_d) < 0:
print("Enter a positive number")
else:
break
loop = True
while loop:... |
14,770 | 431ea3275d4931af11d0c4197db73cf7f919d31d | import abc
import numpy as np
__all__ = ['ParamView', 'NodeParamView', 'EdgeParamView']
# delegate almost all magic methods to the full array
# (omit in-place ops + a few others like __len__ that we will special
# case)
_delegated_dunders = ['abs', 'add', 'and', 'bool', 'complex',
'contains', '... |
14,771 | c0050dc9175b70ddeb5e80576890d85f5fbd3a06 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.selector import Selector
from scrapy.http import Request
from usc.items import CourseItem
import re
from urllib.parse import urljoin
class UscsocSpider(scrapy.Spider):
name = 'uscsoc'
allowed_domains = ['web-app.usc.edu', 'web-app.usc', 'usc.edu']
start_u... |
14,772 | c21dc5ae6e1fbf0fbb8bab9aefb7394f4a7db79a | from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import f_classif
from sklearn.ensemble import ExtraTreesClassifier
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import math
class Analyser():
def __init__(self, x, y, feature_list, fig_save_dir):
s... |
14,773 | babe5235b102e1e9acd0c5768af95fbb55e56406 | from model.project import Project
def test_delete_project(app, config):
old_project_list = app.soap.get_projects_list(config["webadmin"]["username"], config["webadmin"]["password"])
if len(old_project_list) == 0:
app.project.add_new_project('new')
project_to_delete = old_project_list[0]
app.pr... |
14,774 | 2c6c4d1133ea6c4f95f96e3c699ff6f50b4bed27 | import click
# from mne import read_ctf
import contextlib
import sys
from mne import find_layout
from os.path import commonprefix as cprfx
from os.path import split, splitext, exists, join
from os import makedirs
from mne.io import Raw as Raw_fif
from mne.io import read_raw_ctf as Raw_ctf
from scipy.io import savemat
... |
14,775 | c667167dfd441292c299f768b45a3c1f33aebdb2 | from .affine import apply_rotation, random_rotation, sample_rotation
from .deformation import random_deformation_field, apply_deformation_field, random_deformation, checkboard3D, checkboard2D
from .generators import xy_augmentation_generator
from .ImageDataGenerator3D import ImageDataGenerator3D
from .sampling import s... |
14,776 | 3357e042ed411c0645a4ef2f82d8f3da5e835a1f | from abc import ABC, abstractmethod
from jawa.assemble import assemble
from jawa.cf import ClassFile
from jawa.methods import Method
from jawa.constants import *
from jawa.util.descriptor import method_descriptor
from jawa.util.bytecode import Operand
import six.moves
# See https://docs.oracle.com/javase/specs/jvms/... |
14,777 | 6b59ebd63e104b19ff5624851a99bf554cf4e683 | DE_only = []
LogFC = []
with open('new_DEs_0.05.csv') as DE_tags:
for line in DE_tags:
line = line.split()
DE_only.append(line[0])
LogFC.append(line[1])
DE_logFC = {}
for z in range(0, len(DE_only)):
DE_logFC[DE_only[z]] = LogFC[z]
#there is 12 GO categories
complete = []
GO1 = []
with open('enriched_GO.csv'... |
14,778 | 9d2ea4e673c5f1b199e38d7d40eb6e475966e0dd | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sat Aug 26 15:02:09 2017
@author: anand
"""
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 25 13:27:40 2017
@author: anand
"""
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 25 12:15:50 2017
@author: anand
"... |
14,779 | eb68d244e256cf15c8a76f44a4ca6a038a6de7fe | # /usr/bin/env python
# -*- coding: UTF-8 -*-
import hashlib
import time
import random
import string
try:
from urllib import quote
except ImportError:
from urllib.parse import quote
import requests
import sys
#reload(sys)
#sys.setdefaultencoding("utf-8")
def get_params(plus_item):
'''请求时间戳（秒级），用于防止请求重放（保证签... |
14,780 | 0f2181981d152ca283e3a843d6688cf2d6da950c | import asyncio
from typing import Dict
import pytest
from pydantic import BaseModel, StrictInt, conint
import hivemind
from hivemind.dht.node import DHTNode
from hivemind.dht.schema import BytesWithPublicKey, SchemaValidator
from hivemind.dht.validation import DHTRecord, RecordValidatorBase
from hivemind.utils.timed_... |
14,781 | a0b58f9bc545221cf6e39361ec7d8845c4cc1674 | from time import sleep
from os import system
def SexoVerificacao(x): #! Função que verifica se o valor inserido para sexo é válido
if x not in 'MF':
while True:
if x in 'MF':
break
print('===Entre com um valor válido!===')
sleep(1)
x = str... |
14,782 | db0469453899702cabc48adfbdeb2f2a7818f2aa | import time
import random
import math
people = [('Seymour','BOS'),
('Franny','DAL'),
('Zooey','CAK'),
('Walt','MIA'),
('Buddy','ORD'),
('Les','OMA')]
# Laguardia
destination='LGA'
flights={}
for line in file('schedule.txt'):
origin,dest,depart,arrive,price=line.st... |
14,783 | f61d2424698a9d8567716caaf5459bb2f4196b9a |
import functools
def flatten(r):
items = (flatten(i) if type(i) is list else [i] for i in r)
return functools.reduce(list.__add__, items)
|
14,784 | b19543de2ee286e8de3bdf71d4818407b08b73c1 | from sampleModule import royalty
def nuclearBomb():
return royalty()
|
14,785 | ccb0dc4f2ed4cfa71ad3d7440854076a1acd580c | import numpy as np
import matplotlib.pyplot as plt
def sigmoid(x):
return 1 / (1 + np.exp(-x))
def BatchNormalization(x):
return x - np.mean(x) / np.std(x)
x = np.random.randn(1000,100)
node_num = 100
hidden_layer_size = 5
activations = {}
for i in range(hidden_layer_size):
if i != 0:
x = activ... |
14,786 | 5cff63671226882ca7cc52c398c999cee6ddbb93 | # Dictionaries
# Create
person = {
'first_name': 'John',
'last_name': 'Doe',
'age': 20
}
person2 = dict(first_name='Sara', last_name='Williams')
print(person, type(person))
print(person2)
# Get value
print(person['first_name'])
print(person.get('last_name'))
# Add
person['phone'] = '555-555-55'
print(pe... |
14,787 | e21c4fa1c820a1e67312f04d0c3f671adcbf2a2f | # -*- coding: utf-8 -*-
# C - Average Length
# https://atcoder.jp/contests/abc145/tasks/abc145_c
import itertools
N = int(input())
xy = [list(map(int, input().split())) for _ in range(N)]
p = []
cnt = 0
for v in itertools.permutations(xy, N):
p.append(v)
for i in range(len(p)):
for j in range(N-1):
... |
14,788 | 56b0c16e58b9297aea34aa7ba4ba216e275705ac | import logging
ROOT_LOGGER_NAME = 'mamba'
FORMAT = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
FILE_LEVEL = logging.DEBUG
CONSOLE_LEVEL = logging.INFO
def init(log_filename="tmp.log", console=True, debug=False):
logging.root.name = ROOT_LOGGER_NAME
logging.root.setLevel(logging.DEBUG)
formatter = logg... |
14,789 | 201e023a9c3d96824bd00cf6f651c0f1f6d020e6 | from invoke import task
@task
def tests(c):
c.run("py.test -vvx tests", pty=True)
|
14,790 | 863091c99200ad10d3c311e4b63a5c619ce9157d | import os
import cv2
import argparse
import numpy as np
import tensorflow as tf
import utils.config as cfg
from utils.model_yolo import YOLONet
from utils.timer import Timer
#检测的类Detector
class Detector(object):
def __init__(self, net, weight_file): # Yolo网络
'''
初始化参数和配置模型
... |
14,791 | a1a4550942ab233486742e972ef1e32785b90f34 | import konlpy
from collections import Counter
# 저는 이미 khaiii로 형태소 분석이 끝났기 때문에 불필요 할 것 같습니다.
# 대신에 collections 의 counter 함수를 이용해서 빈도수만 채크
# def get_key(text, ntags=30):
nouns = open("C:/Users/student/Documents/jinahan/형태소분석/코모란/komoran.txt")
#경로에 있는 파일을 저장.
count =Counter(nouns)
# 참고: https://excelsior-cjh.tistory.com... |
14,792 | d75c7f153dc93a3266af4005eb7215ad719fc6f5 | from django.contrib.auth.models import User
from rest_framework import serializers
from .models import Item, Profile
from rest_framework_simplejwt.serializers import TokenObtainPairSerializer
class UserCreateSerializer(serializers.ModelSerializer):
password = serializers.CharField(write_only=True)
class Meta:... |
14,793 | 7adfc3e1fff7483e3ebe955fdcacf4c61087f7f6 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 20 10:15:37 2017
@author: andy
"""
from cyvlfeat import kmeans
import os
import pickle
from numpy import random
import numpy as np
from preprocess_hog_pkl import hog_preprocess
from cyvlfeat.kmeans import kmeans
def get_hog_dictionary(data_path,num_cluster = 1024, data... |
14,794 | 907165ba0fe39c45b4fc1d3be0c2f88a86238279 | import torch
from torch import nn
class WeightSynthesizer(nn.Module):
def __init__(self, num_dims_in, num_dims_out, d=25):
super(WeightSynthesizer, self).__init__()
self.fc1 = nn.Sequential(
nn.Linear(num_dims_in, d),
nn.ReLU()
)
self.fc2 = nn.Sequential(
nn.Linear(d, d*2),
nn.ReLU()
)
self.fc... |
14,795 | 15852da39205ea53635499015e1c351f693f7e97 | a, b = map(int, input().split())
answer = min(((a - a // 2) - a // 2) * b, ((b - b // 2) - b // 2) * a)
print(answer) |
14,796 | 3a51ccf51daeed9d42b0127c29b90e277724af85 | import mpyq
from heroprotocol import protocol29406
class HeroParser():
def __init__(self, replay_path):
self.replay_path = replay_path
self.archive = mpyq.MPQArchive(replay_path)
# Read the protocol header, this can be read with any protocol
self.contents = self.archive.header['user_data_header']['content']
... |
14,797 | 2b3c329cdf36b48528e4bfd68256f481622305a4 | #!/usr/bin/env python
########################################
# Mario Rosasco, 2017
########################################
from Model import *
from Visualization import *
from scipy.optimize import minimize
from allensdk.ephys.ephys_features import detect_putative_spikes
import numpy as np
import sys
... |
14,798 | 3cc24c98c6c79f35416edee9db58a09198725a02 | import enum
class ItemType(enum.Enum):
BOOK=1
BAG=2
SHOES=3
CLOTHES=4
class ExpenditureType(enum.Enum):
FEES=1
BUYING=2
class DonationPlan(enum.Enum):
ANUALLY=1
SEMI_ANUALLY =2 |
14,799 | 36c8b70376726b47ba2630cdc3c6b35777ed54ec | '''
@author: Dean D'souza
'''
# Loading necessary Libraries
from __future__ import division
import nltk
from nltk.text import Text
from ProjectTokenizer import pToken
from ProjectTagger import pTagger
from nltk.corpus import stopwords
# Loading all text data
txtFile=open('C:/Users/demon/OneDrive/Documents/GitHub/CISC_... |
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