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import os
import sys
import shutil
import py2exe
import argparse
import subprocess
import compileall
from distutils.core import setup
from zipfile import ZipFile
parser = argparse.ArgumentParser(description='Emmaus House Food Pantry Setup')
parser.add_argument('-c', '--clean', action='store_true',
... |
import spidev
import time
spi = spidev.SpiDev()
spi.open(0,0)
spi.max_speed_hz=16000000 #16Mhz
#spi.max_speed_hz=32000000 #32Mhz
while True:
#resp = spi.xfer2( [0x80, 0xFF] )
resp = spi.xfer2( [0xFF] )
print resp
#print "r2"+resp[1]
time.sleep(1)
|
import sys
import argparse
from misc.Logger import logger
from core.base import base
from misc import Misc
class env(base):
def __init__(self, global_options=None):
self.global_options = global_options
logger.info('Env module entry endpoint')
self.cli = Misc.cli_argument_parse()
def ... |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
def draw(x, y, Edges):
plt.scatter(x, y)
for edge in Edges:
plt.plot([x[edge[0]], x[edge[1]]], [y[edge[0]], y[edge[1]]], 'k-')
plt.show()
def drawRegret(x, y, Edges):
colors = cm.rainbow(np.linspace(0, 1, len(Edg... |
from pytrends.pyGTrends import pyGTrends
import time
from random import randint
google_username = "an_email@gmail.com"
google_password = "password"
path = ""
# connect to Google
connector = pyGTrends(google_username, google_password)
# make request
connector.request_report("Pizza")
# wait a random amount of time be... |
from django.db import models
from recurrence.fields import RecurrenceField
class Course(models.Model):
title = models.CharField(max_length=100)
schedule = RecurrenceField()
|
from AlgebraicDataType import ADT
def nt_to_tuple(nt):
return tuple((getattr(nt, f) for f in nt.__class__._fields))
class PatternMatchBind(object):
def __init__(self, name):
self.name = name
class PatternMatchListBind(object):
def __init__(self, head, tail):
self.head = head
se... |
from time import time
def my_dec(func):
def wrapper(*args, **kwargs):
t1 = time()
res = func(*args, **kwargs)
t2 = time()
t3 = t2 - t1
print(f'It took {t3} seconds')
return res
return wrapper
@my_dec
def my_own_range(num, start=0):
new_list = [... |
import numpy as np
class ColorPalette:
def __init__(self, numColors):
np.random.seed(1)
self.colorMap = np.array([[255, 0, 0],
[50, 150, 0],
[0, 0, 255],
[80, 128, 255],
... |
from django.http import HttpResponse
import simplejson
import logging
from v1_meta import V1Meta
from datetime import datetime
import xml.etree.cElementTree as ET
from defects.v1defect import V1Defect
from django.shortcuts import render
# Create your views here.
def GetDefectsNumber(request):
t1 = datetime.now()
... |
import matplotlib.pyplot as pl
import numpy as np
f = open('angular_data.txt','r')
str = f.read()
data = str.split();
desired = []
for i in range(len(data)-1):
desired.append(data[0])
feedback = data[1:len(data)]
t = np.arange(0,len(feedback),1)
xlimit = len(feedback)-1
ylimit = int(max(data))+1000
pl.plot(t,fe... |
n = int(input())
t = [1,2]
for i in range(2,n+1,1):
res = t[i - 1] + t[i-2]
t.append(res)
print(t[n-1])
|
import csv
data = [[1, "a", 1.1] # 리스트를 요소로 포함하는 리스트 생성
[2, "b", 1.2],
[3, "c", 1.3]]
with open("output.csv", "w") as f:
wr = csv.writer(f) # csv 파일에 저장
for row in data:
wr.writerow(row |
import numpy as np
import cv2
#이미지 Contour : 같은 값을 가진 곳을 연결한 선
#이미지에서 Contour를 찾기 전에 threshold나 Canny edge detection을 적용하는 것이 좋다.
#Contour를 찾고자 하는 대상은 흰색으로, 배경은 검정색으로 변경해야함
def contour():
img = cv2.imread('images/globe.jpg')
imgray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, thr = cv2.threshold(imgray, ... |
import socket
clisock = socket.socket( socket.AF_INET, socket.SOCK_STREAM )
clisock.connect( ('', 8000) )
clisock.send("Hi I am the client\n")
print clisock.recv(100)
clisock.close()
|
# %%
from myApp.models import Grades.Students, Grades
from django.utils import timezone
from datatime import *
# %%
|
import sklearn.linear_model
from sklearn import svm
import numpy as np
class SVM:
def __init__(self,C=1.0,kernel='linear'):
self.svm = svm.SVC(C,kernel)
def learn(self,X,T):
self.svm.fit(X,T)
def predict(self,X,T):
count = 0
presission = [0,0,0,0,0]
recall = [0,0,0... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import sys, operator, math
from sys import argv
with open(argv[1], 'r') as f:
with open('scores.txt','w') as fScores:
for line in f:
wordScore = line.split()
score = wordScore[1]
fScores.write(score + ' ')
|
input_string = input()
dom = input_string.index(".")
print(input_string[dom+1:]) |
import numpy as np
import matplotlib.pyplot as plt
from src.shaft_secant_piles import plot_cylinder_2points, set_axis_equal_3d
def get_parameters_wall_secant_piles(D, a, L, H_drilling_platform, v=0.75):
""" Gets parameters for secant piled wall
D: pile diameter [m]
a: C/C pile spacing b/w two neighboring p... |
#coding:utf-8
def script(s, player=None):
from NaoQuest.quest import Quest
from NaoCreator.setting import Setting
import NaoCreator.Tool.speech_move as SM
if not player:
Setting.error("Error in execution of post_script of objective \"ChoixService\": ... |
import unittest
from neo.rawio.winwcprawio import WinWcpRawIO
from neo.test.rawiotest.common_rawio_test import BaseTestRawIO
class TestWinWcpRawIO(BaseTestRawIO, unittest.TestCase, ):
rawioclass = WinWcpRawIO
entities_to_test = ['File_winwcp_1.wcp']
files_to_download = entities_to_test
if __name__ == "... |
import click
import torch
from models.rnn_attention_s2s import RnnAttentionS2S
from utils import prepareData
@click.command(help="train env_name exp_dir data_path")
@click.option("-d","--data-path", default="data", type=str)
@click.option("-a", "--architecture", default="rnn_attention_s2s", type=str)
@click.option("-n... |
import sys
sys.path.append('../500_common')
import lib_curation
import lib_ss
import time
from bs4 import BeautifulSoup
#--------------
# soup = lib_ss.main("/Users/nakamurasatoru/git/d_genji/genji_curation/src/500_common/Chrome11", "Profile 1")
soup = BeautifulSoup(open("data/result.html"), "lxml")
tr_list = soup.fi... |
import unittest
from katas.kyu_7.double_char import double_char
class DoubleCharTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(double_char('String'), 'SSttrriinngg')
def test_equals_2(self):
self.assertEqual(double_char('Hello World'), 'HHeelllloo WWoorrlldd')
def... |
import os
import yaml
def loadyamlfile(yamlfile):
configfilelist = []
with open(yamlfile, encoding='utf-8') as f:
y = yaml.load_all(f)
for data in y:
configfilelist.append(data)
return configfilelist
def getnessussearchyaml():# yamlfile里面放配置文件
yamllist = []
dirpath... |
import mysql.connector
from mysql.connector import Error
from logger import *
from traceback_info import *
import sys
ERR_1 = 1
ERR_2 = 2
ERR_FATAL = 3
class DB_Session_MySQL:
def __init__(self, username, password, db_id):
logger.debug( "DB_Session_MySQL::__init__()" )
self.username_ = username
... |
#coding:utf-8
PIC_CODE_EXPIRES_SECONDS = 180
SMS_CODE_EXPIRES_SECONDS = 300
SESSION_EXPIRES_SECONDS = 86400
QINIU_URL_PREFIX = "http://olymmyzny.bkt.clouddn.com/"
QINIU_URL_SUFFIX = "?imageMogr2/auto-orient/thumbnail/x220/blur/1x0/quality/75|imageslim"
REDIS_AREA_INFO_EXPIRES_SECONDES = 86400
REDIS_HOUSE_INFO_EXPIRES_... |
"""API v2 tests."""
from django.urls import reverse
from modoboa.admin import factories as admin_factories
from modoboa.admin import models as admin_models
from modoboa.dnstools import factories
from modoboa.lib.tests import ModoAPITestCase
class DNSViewSetTestCase(ModoAPITestCase):
@classmethod
def setUpT... |
from common.run_method import RunMethod
import allure
@allure.step("在线诊断/条件获取接口")
def admission_condition_post(params=None, body=None, header=None, return_json=True, **kwargs):
'''
:param: url地址后面的参数
:body: 请求体
:return_json: 是否返回json格式的响应（默认是）
:header: 请求的header
:host: 请求的环境
:return: 默认js... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('myapp', '0003_blog_first_name'),
]
operations = [
migrations.AlterModelOptions(
name='category',
opt... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbor... |
import pyaudio
import wave
import uuid
import sounddevice as sd
import json
import numpy as np
#remove
import paho.mqtt.client as mqtt
class LiveRecorder:
def __init__(self, mqtt_client):
self.mqtt_client = mqtt_client
self.recording = False
self.p = pyaudio.PyAudio()
self.chunk = ... |
def allZeros(occ):
for key,val in occ.items():
if(val > 0):
return False
return True
n=int(input())
radius = list(map(long,input().split(' ')))
occ = dict()
for i in range(n):
if radius[i] in occ:
occ[i] += 1
else:
occ[i] = 1
total = 0
while(not allZeros(occ)):
# decreament all occ by one
for key,c... |
#!/usr/bin/env python3
import argparse
import pathlib
import sys
import time
import dreamtests
try:
import dreamtests
except:
sys.path.append(pathlib.Path(__file__).parent.absolute())
import dreamtests
try:
import DREAM
except ImportError:
sys.path.append(str((pathlib.Path(__file__).parent / '..... |
def solution(arr):
answer = arr[0]
for i in range(1, len(arr)):
for j in range(max(answer, arr[i]), answer * arr[i] + 1):
if j%answer == 0 and j%arr[i] == 0:
answer = j
break
return answer |
import unittest
import ctypes
from test.util import ClangTest
'''Test if pointers are correctly generated in structures for different target
archictecture.
'''
class Pointer(ClangTest):
#@unittest.skip('')
def test_x32_pointer(self):
flags = ['-target', 'i386-linux']
self.convert('''typedef... |
# api/views.py
from django.http import HttpResponse
from rest_framework import status
from rest_framework import viewsets
from rest_framework import permissions
from rest_framework.views import APIView
from rest_framework.response import Response
import book.barcode as bc
#import from Django Project
from .serializers ... |
#!/usr/bin/python3
from BWCommon import *
from BWControl import *
import wx
import sys
import getopt
import os
import ctypes
import wx.py as py
osp = 'linux'
if sys.platform.startswith("win"):
osp = 'win'
def main():
if not os.access('db', F_OK):
os.mkdir('db')
app = wx.App(False)
... |
import re
from helper import *
def parseHostsFile(filename):
lines = open(filename).readlines()
category = 0 # 0=none/1=servers/2=clients
servers = []
clients = []
for line in lines:
# Ignore Comment lines
if line[0] == '#':
continue
line = line.strip()
... |
def main():
print("This program changes the names in a file to all capital letters")
infileName = input("What files are the names in? ")
outfileName = input("Place names in this file: ")
infileName = open(infileName, "r")
outfileName = open(outfileName,"w")
for line in infileName:
line... |
def reverse(times):
c=a.readline().split()
d=[c[i] for i in range(len(c)-1,-1,-1)]
b.write("Case #{}: ".format(times+1))
for item in d:
b.write("{} ".format(item))
b.write("\n")
if __name__ == '__main__':
a=open('in.txt','r');
b=open('out.txt','w')
for time in xrange(0,int(a.read... |
import re
import unittest
from katas.kyu_5.mod4_regex import Mod
class Mod4RegexTestCase(unittest.TestCase):
""" assertRegexpMatches doesn't seem to work properly for the tests
since Mod.mod4 is a compiled regex object already, not just a string.
To match the tests used on the Codewars kata, I used asser... |
#create feature based on WN Domain dataset
#WordNet Domain dataset; two datafile, one for WN1.6, one for WN2.0
#Snow didn't mention which one they use, but I use WN1.6, since I mapped 2.1 to 1.6
#Snow created two features, but I only created the first one, since I was not sure about
#the second one.
#- "wn-domains-2.0-... |
def main():
print ("Pig latin game.")
print("")
name = raw_input('Pleae enter your name: ')
print 'Hello,', name, '! Welcome to pig latin game.'
print("")
vowels = ('a', 'e', 'i', 'o', 'u','A', 'E', 'I', 'O', 'U' )
with_vowels = "yay"
without_vowels = "ay"
end = "Q", "q", "Quit", "quit"
word = ""
while (w... |
class Node:
def __init__(self, key):
self.key = key
self.child = dict()
self.count_leaf = 0 # 파생 단어 개수(leaf 노드 개수)
class Trie:
def __init__(self):
self.head = Node(None)
self.word_count = 0
def insert(self, word):
curr = self.head
... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import random
origin = [0, 0] # 设定原点[0, 0]
def create(pos=origin):
def move(direction, step):
# new_x = pos[0] + direction[0]*step
# new_y = pos[1] + direction[1]*step
# pos = [new_x, new_y] 这种赋值的方式会报错
pos[0] += direction[0] * step
... |
# models.py
from django.db import models
from django.conf import settings
from django.db.models.signals import post_save
from django.dispatch import receiver
from rest_framework.authtoken.models import Token
@receiver(post_save, sender=settings.AUTH_USER_MODEL)
def create_auth_token(sender, instance=False, created=Fa... |
from functools import reduce
import operator
def max_product(lst, n_largest_elements):
return reduce(operator.mul, sorted(lst)[-n_largest_elements:])
'''
Introduction and Warm-up (Highly recommended)
Playing With Lists/Arrays Series
Task
Given an array/list [] of integers , Find the product of the k maximal numb... |
class Solution:
def mergeTwoLists(self, list1: Optional[ListNode], list2: Optional[ListNode]) -> Optional[ListNode]:
result = ListNode(0)
dummy = result
while list1 and list2:
if list1.val < list2.val:
dummy.next = list1
list1 = list1.next
... |
'''
Log generation simulation with different durations and rates.
'''
import os
import time
import random
from time import sleep
from datetime import datetime
import logging
log_format = '%(asctime)s %(levelname)s %(message)s'
logging.basicConfig(format=log_format, level=logging.INFO)
class LogGenerator:
'''
... |
# -*- coding: utf-8 -*-
from app.models import Result, Season, Tournament
from app.tests import dbfixture, ResultData, TournamentData
from app.tests.models import ModelTestCase
from web import config
class TestResult(ModelTestCase):
def setUp(self):
super(TestResult, self).setUp... |
from __future__ import print_function, unicode_literals
import re
import os
import sys
import string
import argparse
import subprocess
from . import __version__, utils, results, bundles, testenv, formatters
class Unsupported(Exception):
pass
class ProcessFailed(Exception):
pass
class UnexpectedOutput(Ex... |
# My Original Code
# def replace_exclamation(s):
# vowels = ('a','e','i','o','u')
# for i in s:
# if i.lower() in vowels:
# s = s.replace(i, '!')
# return s
#Best Practice
def replace_exclamation(s):
return "".join("!" if i in "aeiouAEIOU" else i for i in s)
|
import gspread
from oauth2client.service_account import ServiceAccountCredentials
# use creds to create a client to interact with the Google Drive API
scope = ['https://spreadsheets.google.com/feeds' + ' ' +'https://www.googleapis.com/auth/drive']
creds = ServiceAccountCredentials.from_json_keyfile_name('clien... |
# coding:utf-8
def script(s, player=None):
from NaoQuest.objective import Objective
from NaoCreator.setting import Setting
from NaoCreator.Tool.speech_move import speech_and_move
if not player:
Setting.error("Error in execution of post_script of objective \"q1\": player is None")
retur... |
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import backend
from tensorflow.keras import layers
import pandas as pd
def model(embedding_size, field_vocab_size=[], hidden_units=[4,4,4], dropout=0.5):
F = len(field_vocab_size)
# prepare embeddings
inputs = []
embed_list = [... |
from django.shortcuts import render
def code(request):
context = {"code": request.session['user_id']}
return render(request, "turk/code.html", context)
|
from src.mongo import Mongo
from src.etl.aggregate_card_deck_occurrences.card_deck_occurrence_aggregator import CardDeckOccurrenceAggregator
def handler(event=None, context=None):
mongo = Mongo()
CardDeckOccurrenceAggregator(mongo).run()
if __name__ == '__main__':
handler()
|
from .gcn import GCN
from .sgc import SGC
from .gat import GAT |
# Generated by Django 2.1.3 on 2019-01-19 19:35
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('student', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='DatesAvailable',
... |
from django.conf.urls import patterns, include, url
from apps.main.views import IndexView, NewsView, ArticleView, NewsinView, ArticleinView, ContactsView, SearchView
""" autocomplete_light.autodiscover()
BEFORE
admin.autodiscover()"""
import autocomplete_light
autocomplete_light.autodiscover()
from django.con... |
TEST = 'woo'
PATH = 5 |
from django.shortcuts import render
from .models import ServicesData,FeedbackData,EnquiryData
from .forms import FeedbackForm,EnquiryForm
from django.http.response import HttpResponse
import datetime as dt
date1 = dt.datetime.now()
def home_view (request):
return render(request,'durgasoft_home.html')
def services... |
from abc import ABC, abstractmethod
import torch
from torch import nn, Tensor
from torch.nn.modules.loss import _Loss
from parseridge.utils.logger import LoggerMixin
class Loss(ABC, LoggerMixin):
@abstractmethod
def __call__(
self,
pred_transitions: Tensor,
pred_relations: Tensor,
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 9 10:14:20 2020
@author: ritambasu
"""
#writing the code:
import numpy as np
a = np.array([[1,0.67,0.33],[0.45,1,0.55],[0.67,0.33,1]])
b = np.array([2,2,2])
x = np.linalg.solve(a,b)
true_solved_solution = np.array([1.0,1.0,1.0])
print (x)
#checking... |
from decoder_29628792 import Decoder
from character_29628792 import CharacterAnalyser
from word_29628792 import WordAnalyser
from sentence_29628792 import SentenceAnalyser
def get_input():
encoded = input("Enter a sequence of morse code: ")
if encoded.count("***") == 0 : # To ensure every input has at least o... |
import json
embassy = {}
i = 0 # change vary on len of dict
with open('mood.json') as data:
data = json.load(data)
#for i in data['embassies']: loop thru every country
email = data['embassies'][i]['email']
whom = data['embassies'][i]['title']
print(whom)
print(email)
if email and whom:
... |
import unittest
from katas.kyu_8.jennys_secret_msg import greet
class GreetTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(greet('James'), 'Hello, James!')
def test_equals_2(self):
self.assertEqual(greet('Johnny'), 'Hello, my love!')
|
import scrapy
class QuotesSpider(scrapy.Spider):
name = "a"
def start_requests(self):
urls = [
'https://sh.lianjia.com/ershoufang/pudong/'
]
for url in urls:
yield scrapy.Request(url=url, callback=self.parse)
def parse(self, response):
for a in res... |
from django.urls import path
from quest import views
urlpatterns = [
path('1',views.V1,name ='inizio'),
path('2',views.ProvaView,name ='login_utenti' ),
# path('3',),
path('4',views.RegistrationView,name ='registrazione_utenti'),
path('5... |
while True:
try: x = list(map(int,input()))
except: break
for i in range(10,1,-1):
for n in range(1,i):
x[n-1] = (x[n-1] + x[n]) % 10
print(x[0]) |
import unittest
import copy
import json
from pprint import pprint
from manage_notes_annotation import load_task_data, manage_notes_annotation
TASK_ADD_NO_NOTES = {
"uuid": "test-uuid",
}
TASK_ADD_WITH_NOTES = {
"uuid": "test-uuid",
"notes": "test notes",
}
NOTE_ANNOTATION_NO_NOTES_BEFORE = {
"annotations": ... |
import sys
import collections
if len(sys.argv) == 1:
print('Code example \n')
print('... \n')
class Molecule:
def __init__(self, structure1, filds1):
self.structure1 = []
self.filds1 = collections.OrderedDict()
filename2 = sys.argv[1] # small sdf
idnumber_small = sys.argv[2] # idnumber ... |
from spack import *
from glob import glob
from string import Template
import re
import fnmatch
import shutil
from spack.util.executable import Executable
import sys,os
sys.path.append(os.path.join(os.path.dirname(__file__), '../../common'))
from scrampackage import relrelink
class CmsswScram(Package):
"""CMSSW bu... |
import numpy as np
import json
import os
from mea import auxfn
from mea.model.io_triangle import IOTriangle as green
from mea.model.triangle import Triangle as Model
from mea.transport import sigmadc
from scipy.integrate import simps
cwd = os.getcwd()
with open("statsparams0.json") as fin:
params = json.load(f... |
s = float(input())
if s <= 400:
p = '15 %'
r = 0.15 * s
s += r
elif 400 < s <= 800:
p = '12 %'
r = 0.12 * s
s += r
elif 800 < s <= 1200:
p = '10 %'
r = 0.10 * s
s += r
elif 1200 < s <= 2000:
p = '7 %'
r = 0.07 * s
s += r
else:
p = '4 %'
r = 0.04 * s
s += r
print('Novo salario: {:.2f}\nReajuste ganho:... |
def workerStrike():
print("Workers are striking and half your resources have been stealing")
def factoryFire():
print("Your factory is on fire")
def worldWar():
print("The world falls into total war")
def theGreatDepression():
print("The great Depression")
def theSnap():
print("Snaps half of your re... |
import subprocess
file = subprocess.Popen("C:\\Users\\ikira\\AppData\\Local\\WhatsApp\\WhatsApp.exe") |
import os
from abc import ABC, abstractmethod
import numpy as np
from scipy import sparse as sp
from scipy.sparse.linalg.eigen.arpack import eigsh
from app.utils.constant import GCN, NETWORK, LABEL, FEATURE,SYMMETRIC, GCN_POLY
from app.utils.util import invert_dict, map_set_to_khot_vector, map_list_to_floats
class ... |
print(200000)
for i in range(200000):
print('a', end='')
|
#!/bin/python3
from __future__ import print_function
import sys
from operator import add
from pyspark.sql import SparkSession
if __name__ == "__main__":
if len(sys.argv) < 3:
print("Usage: zad6 <file> <col_name> [<col_name_2>...<col_name_n.]", file=sys.stderr)
exit(-1)
spark = SparkSession\
... |
from django.shortcuts import render
# Create your views here.
def homeview(request):
question="Hello"
data={
'quest':question,
}
return render(request,"index.html",data) |
import random
import math
import turtle
import copy
from functools import *
def generate_map_point(x_range, y_range, loc): #generates a random point
#print("generating location point: " + str(loc))
return (random.randint(-(x_range), x_range), random.randint(-(y_range), y_range))
def generate_map_poi... |
def update_dictionary(d, key, value):
if d.get(key) is None:
if d.get(2 * key) is None:
d[2 * key] = [value]
else:
d[2 * key].append(value)
else:
d.get(key).append(value)
d = {}
print(update_dictionary(d, 1, -1))
print(d)
update_dictionary(d, 2, -2)
print(d)
upd... |
#!/usr/bin/env /data/mta/Script/Python3.8/envs/ska3-shiny/bin/python
#########################################################################################
# #
# hrc_dose_plot_exposure_stat.py: plotting trendings of avg, mi... |
from __future__ import annotations
from rubicon_ml.domain.artifact import Artifact
from rubicon_ml.domain.dataframe import Dataframe
from rubicon_ml.domain.experiment import Experiment
from rubicon_ml.domain.feature import Feature
from rubicon_ml.domain.metric import Metric
from rubicon_ml.domain.parameter import Para... |
from rest_framework.serializers import Serializer
from .models import Employee,EmployeeSerializer
from rest_framework.views import APIView
from rest_framework.viewsets import ModelViewSet
from rest_framework.authentication import BasicAuthentication,SessionAuthentication
from rest_framework.permissions import IsAuthent... |
"""
Created by hzwangjian1
on 2017-07-25
"""
import json
import os
import traceback
import pymysql
from ddzj.util import db
from alexutil import configutil
from alexutil import dateutil
from alexutil import dbutil
from alexutil import logutil
config_path = os.path.join(os.getcwd(), "config")
log_path = os.path.join... |
# Uma empresa vende o mesmo produto para quatro diferentes estados. Cada estado possui uma taxa de imposto sobre o produto (MG 7%; SP %12; RJ 15%; MS 8%).
# Faça um programa em que o usuário entre com o valor e o estado de destino do produto e o programa retorne o preço final do produto acrescido do imposto do estado ... |
#http://www.practicepython.org/exercise/2014/02/05/02-odd-or-even.html
while True:
try:
num = int(input ("Introduzca un número entero: "))
divisor = int(input ("Introduzca un divisor: "))
break
except ValueError:
print("Eso no parecen números enteros ¬¬ ")
if (num%2 == 0):
... |
#!/usr/bin/python26
import sys
import MySQLdb
CONFIG_PATH = '/scripts'
sys.path.append(CONFIG_PATH)
# explictly state what is used from TARDIS codebase, no ``import *``
from db_queries import (AUDIT_SELECT, AUDIT_UPDATE_STATUS, QUERY_ALL,
QUERY_DATA, QUERY_NO_PROXY_DATA, QUERY_PROXY)
from con... |
import json
from helpers import _clear,_setTitle,_printText,_readFile,_getCurrentTime,_getRandomUserAgent,_getRandomProxy,colors
from threading import Thread,active_count, current_thread
from time import sleep
from datetime import datetime
import requests
class Main:
def __init__(self) -> None:
_setTitle('... |
import logging
from log import log
import submodule
# this is a standard method for creating a logging object
LOG = logging.getLogger(__name__)
if __name__ == '__main__':
# we set up the logging configuration
# additionally, the logging.yaml has a console handler, so all logs will be emitted to
# stdout ... |
import os
import sys
def setup():
global fileHandle, fileData
filename = input("Enter an input file name: ")
exists = os.path.isfile("./%s" % filename)
notEmpty = os.path.getsize("./%s" % filename) > 0
if exists and notEmpty:
fileHandle = open ("./%s" % filename, "r")
else:
pr... |
import cv2
import numpy as np
import matplotlib.pyplot as plt
from glob import glob
from keras.utils import np_utils
from sklearn.datasets import load_files
# 加载数据集函数
def load_dataset(path):
data = load_files(path)
dog_files = np.array(data['filenames'])
dog_targets = np_utils.to_categorical(np.array(data... |
# Generated by Django 1.10.5 on 2017-02-15 12:28
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('admin', '0009_auto_20170215_0948'),
]
operations = [
migrations.AddField(
model_name='domain',
name='quota',
... |
import os
import sys
import glob
import cv2
import numpy as np
import argparse
from timeit import default_timer as timer
'''
Usage :
./db_indexing.py -d "database_name"
Example :
./db_indexing.py -d "base1"
'''
######## Program parameters
parser = argparse.ArgumentParser()
## Database name
pa... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
This script is a simplified version of the training script in detectron2/tools.
"""
import os
import random
import numpy as np
import torch
import time
import math
import logging
from collections import def... |
from rest_framework import serializers
from frontend.models import Frontend
class FrontendSerializer(serializers.ModelSerializer):
class Meta:
model = Frontend
fields = ('title' , 'email','message')
# fields = '__all__'
|
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