text stringlengths 8 6.05M |
|---|
'''
define the type assert decorator
'''
from .exception import ArgumentLengthError, ArgumentTypeError
def argument_check(*types):
def check(f):
if len(types) != f.__code__.co_argcount:
raise ArgumentLengthError("type length is not same with function argument count!")
def new_f... |
"""
Scraper for foodnetwork.com. Collectis all recipe links from website.
Author: John Li
"""
from .scraper_base import ScraperBase
from selectolax.parser import HTMLParser
import json
import requests
import string
import re
class FoodNetwork(ScraperBase):
""" Class for scraping recipe links from foodnetwork.c... |
#!/usr/bin/env python
import sys
import argparse
import time
from helpers import parameters as params
from methods import *
def main(args):
outbamfn = args.outBamFile
configReader = params.GetConfigReader()
params.InitConfigReader(args.configfile)
params.SetGainCNV(args.cnvAmpFile)
params.SetLossCN... |
#!/usr/bin/env python
import rospy
import smach
import smach_ros
from std_msgs.msg import Int32
from std_msgs.msg import String
import game_setting
import actionlib
from sound_play.msg import SoundRequest, SoundRequestAction, SoundRequestGoal
from watson_developer_cloud import TextToSpeechV1
import roslib; roslib.load... |
import jsonpickle
from django.http import JsonResponse
from django.shortcuts import render, redirect
from django.views import View
from django_redis import get_redis_connection
from goods.models import GoodsSKU
# Create your views here.
class CartAdd(View):
'''加入购物车'''
def post(self, request):
# 判... |
def array123(nums):
i = 2
while i < len(nums):
if nums[i]==3 and nums[i-1]==2 and nums[i-2]==1:
return True
i+=1
return False
def array_front9(nums):
i = 0
while i<len(nums) and i < 4:
if nums[i] == 9:
return True
i+=1
return False
def array_count9(nums):
i = 0
occur = 0
... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2017-06-03 23:40
from __future__ import unicode_literals
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('userprofiles', '0006_auto_20170521_1919'),
]
operatio... |
import unittest
import contracts
from VM import VM
class VNTestCase(unittest.TestCase):
pass
if __name__ == "__main__":
unittest.main()
|
import tkinter as tk
from tkinter import ttk
from tkinter import *
import bcrypt
import sqlite3
from tkinter import messagebox as mb
from MenuPrincipal import Menu
class Ingreso:
def __init__(self, ventanaPrincipal):
self.auxiliar=False
#Creacion de la ventana
self.ve... |
base_url = "https://eb-fp-test:8101" # set url |
#!/usr/bin/env python3
import rospy
import time
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import random
import argparse
#from tensorflow import keras
from tensorflow.compat.v1.keras.models import model_from_json, Model,load_model
from tensorflow.compat.v1.keras.models ... |
from django.db import models
# Create your models here.
class jobListing(models.Model):
title = models.TextField(null=True,blank=True)
description = models.TextField(null=True,blank=True)
|
# coding: utf-8
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
from made_bitree import TreeNode
class Solution(object):
def isValidBST(self, root):
"""
:type root: TreeNode
... |
#!/usr/bin/env python
class HelloWord:
tab = []
def __init__(self):
self.add_tab("Script Python")
self.add_tab("Hello")
self.add_tab("Word")
self.toString()
def add_tab(self, val):
self.tab.append(val)
def toString(self):
print(' '.join(map(str, self.... |
'''
Created on 3Nov.,2016
@author: u76345
'''
import sys
import os
from jetcat2argus import JetCat2Argus
def main():
assert len(sys.argv) == 5, 'Usage: %s <jetcat_path> <db_alias> <db_user> <db_password>' % sys.argv[0]
jetcat_path = sys.argv[1]
db_alias = sys.argv[2]
db_user = sys.a... |
import random
from datetime import datetime
from unittest import mock, TestCase
import pytest
import responses
from freezegun import freeze_time
from libtrustbridge.websub.repos import NotificationsRepo, DeliveryOutboxRepo, SubscriptionsRepo
from api.models import Message, MessageStatus
from api.use_cases import (
... |
import os
import h5py
def loadh5(dump_file_full_name):
''' Loads a h5 file as dictionary '''
with h5py.File(dump_file_full_name, 'r') as h5file:
dict_from_file = readh5(h5file)
return dict_from_file
def readh5(h5node):
''' Recursive function to read h5 nodes as dictionary '''
dict_from... |
import sys
grade = float(sys.argv[1])
if (grade < 0 or grade > 5):
print("Program expects a number from 0-5.")
elif grade < 1.0:
print("F")
elif grade < 1.5:
print("D-")
elif grade < 2.0:
print("D")
elif grade < 2.5:
print("D+")
elif grade < 2.85:
print("C-")
elif grade < 3.2:
print("C")
elif grade < 3.5:
pri... |
from ED6ScenarioHelper import *
def main():
# 蔡斯
CreateScenaFile(
FileName = 'R3102_1 ._SN',
MapName = 'Zeiss',
Location = 'R3102.x',
MapIndex = 1,
MapDefaultBGM = "ed60010",
Flags = 0,
En... |
import h5py
import numpy as np
import sys
import matplotlib
import matplotlib.pyplot as plt
import argparse
from genome import *
from read import *
from bc_read import *
from alphabet import *
from kmer_model import *
from base import *
from model import *
import yaml
import os
parser = argparse.ArgumentParser()
parse... |
import tensorflow as tf
## 定義變數 給予名稱
state = tf.Variable(25, name='counter')
## 定義常數
one = tf.content(30)
new_value = tf.add(state, one)
## 定義分配量
update = tf.assign(state, new_value)
## 初始化變數
init = tf.global_variables_initializer()
with tf.Session() as sess:
sess.run(init)
print(sess.run(update))
|
def str2bool(v):
return v.lower() == "true"
|
"""
문제
N을 입력받은 뒤, 구구단 N단을 출력하는 프로그램을 작성하시오. 출력 형식에 맞춰서 출력하면 된다.
입력
첫째 줄에 N이 주어진다. N은 1보다 크거나 같고, 9보다 작거나 같다.
출력
출력형식과 같게 N*1부터 N*9까지 출력한다.
예제 입력 1
2
예제 출력 1
2 * 1 = 2
2 * 2 = 4
2 * 3 = 6
2 * 4 = 8
2 * 5 = 10
2 * 6 = 12
2 * 7 = 14
2 * 8 = 16
2 * 9 = 18
"""
N=int(input())
for i in range(1,10):
print("%d * %d = %d... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import collections
import os
import sys
import re
import html5lib
import packaging.specifiers
import packaging.version
import six
from .endpoints import Endpoint
from .utils import (
WHEEL_EXTENSION, WHEEL_FILENAME_RE,
match_egg_info_version, package_names_match,... |
class Sound():
"""docstring for Template"""
def __init__(self):
self.sound_id = 0;
self.user_id = '';
self.longitude = 0;
self.latitude = 0;
self.description = '';
self.tag = '';
class User():
def __init__(self):
self.user_id = '';
self.name = '';
self.photo_id = '';
self.voice_id = '';
|
import os
for i in range(0,255):
add = "192.168."+str(i)+".0-254"
os.system("nmap -sn "+add)
|
__author__ = 'm&g'
import sys
from zipline.api import (
order_target,
order_target_percent,
symbol,
option_symbol,
)
from zipline.assets import (
Equity,
Option,
)
from backtester.models.order import (
PlainOrderModel,
PercentOrderModel,
)
class BaseOrderExecutorModel(object):
""... |
#!/usr/bin/python3
from models.state import State
from tests.test_models.test_base_model import TestBaseModel
class TestState(TestBaseModel):
'''
=========================
User tests
=========================
'''
def __init__(self, *args, **kwargs):
'''
Constructor
''... |
from scraper.spiders.auto_spider import CarSpider
from scrapy.settings import Settings
from scrapy.crawler import CrawlerProcess
try:
settings = Settings()
settings.setmodule('scraper.settings')
process = CrawlerProcess(settings=settings)
process.crawl(CarSpider)
process.start()
except Excep... |
import rhinoscriptsyntax as rs
a = 0.06 #kukan no futosa
b = 0.5 #haji no futosa
b0 = 1.5 #mannaka no hutosa
c = 0.2 #chotto sita zure
def periods_ofcurve( curve, n ):
domain = rs.CurveDomain( curve )
cpoint_list = [ ]
point0 = rs.EvaluateCurve( curve , domain[0] )
point1 = rs.EvaluateCurve( curve ... |
from cl_app.utils import general_error_response
from .models import(Employee, Fmspw)
from rest_framework.authtoken.models import Token
from django.contrib.auth.models import User
from rest_framework.response import Response
from rest_framework import status
# log start
# import logging
# logging.basicConfig(filename='... |
class Solution:
def removeKdigits(self, num, k):
"""
:type num: str
:type k: int
:rtype: str
"""
# brute force, TLE
# another solution
# maintain a increasing stack
if len(num) == k:
return '0'
stack = []
for n in ... |
names = ['admin', 'panda', 'tiger', 'dog', 'cat']
for name in names:
if name == 'admin':
print("Hello admin, would you like to see a status report.")
else:
print("Hello " + name + ", thank you for logging in again.") |
from django.db import models
# Create your models here.
class jrny(models.Model):
start = models.CharField(max_length=100)
destination = models.CharField(max_length=100)
time = models.CharField(max_length=12)
number = models.IntegerField()
date = models.CharField(max_length=12)
def __str__(s... |
import networkx as nx
import numpy as np
from constants import *
from fastdtw import fastdtw
from utils import dist, compressed_degree_list, avg_2d_array
from utils import neg_softmax
class RandomWalkerFactory:
def get_random_walker(name, options):
if name == 'node2vec':
assert 'p' in options... |
import tools
import paperInfo
import plots
import matplotlib.pyplot as plt
# -*- coding: utf-8 -*-
def allCountries(papers):
countries = tools.countries(papers)
filteredCountries = tools.filteredUE(countries,6)
print(filteredCountries)
plots.pieChart(filteredCountries,"Publications by countries")
de... |
# Generated by Django 3.1 on 2020-09-01 19:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gaz_counter', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='gazcountermodel',
name='unit_price'... |
'''
A collection of functions for DS8-Unit3-Sprint1
'''
import pandas
import numpy as np
def train_val_test_split(df, test_size=0.2, val_size=0.2):
'''
Returns three dataframes. First splits DF into initial/test
based on test_size, then splits initial into train/val based
on val_size.
df = Pandas... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# 什么是面向对象
#需求
# - 老妈的交通工具有两个，电动车和自行车
# - 家里离菜场共 20 公里
# - 周一的时候骑电动车去买菜，骑了 0.5 小时
# - 周二的时候骑自行车去卖菜，骑了 2 小时
# - 周三的时候骑电动车去卖菜，骑了 0.6 小时
# - 分别输出三天骑行的平均速度
# def main():
# distance = 20
# e_bicycle = '电动车'
# bicycle = '自行车'
# day1 = '周一'
# hour1 = 0.5
# speed1 = 20/h... |
import json
import elasticsearch8
from share import models as db
from share.search import exceptions
from share.search.index_strategy.elastic8 import Elastic8IndexStrategy
from share.search import messages
from share.util import IDObfuscator
from share.util.checksum_iris import ChecksumIri
class Sharev2Elastic8Inde... |
#!/cs/puls/Projects/business_c_test/env/bin/python3
# -*- coding: utf-8 -*-
import tensorflow as tf
import os, sys
import numpy as np
from tqdm import trange
sys.path.append(os.path.abspath(os.path.dirname(__file__)))
from sklearn.metrics import classification_report
from gensim.models import KeyedVectors
from gensim.... |
import main.core.similarity as sim
from main.info import config
config.Config().configdict['user_item_CF']['model'] = 'item-based'
config.Config().configdict['user_item_CF']['similarity'] = 'adjusted_cos'
config.Config().apply_changes()
dao = sim.new_DAO_interface()
sim.init_user_mean_matrix(dao)
sim.get_other_item_s... |
import numpy as np
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers, optimizers, datasets
a = tf.constant(1) # 标量
print(a.device) # 运行设备：CPU/GUP
b = tf.range(4)
print(b)
print(b.device)
print(b.numpy())
print(b.ndim) # 维度
print(tf.rank(b)) # 维度（Tensor变量表示）
print(tf.ones([3... |
# coding: utf-8
"""
Apache NiFi Registry REST API
The REST API provides an interface to a registry with operations for saving, versioning, reading NiFi flows and components.
OpenAPI spec version: 1.19.0
Contact: dev@nifi.apache.org
Generated by: https://github.com/swagger-api/swagger-codegen.git
... |
# Задача 3. Вариант 6.
# Напишите программу, которая выводит имя "Самюэл Ленгхорн Клеменс", и запрашивает его псевдоним. Программа должна сцеплять две эти строки и выводить полученную строку, разделяя имя и псевдоним с помощью тире.
# Ivanov S. E.
# 19.09.2016
PSEUDONYM = "Марк Твен"
NAME = "Самюэл Ленгхорн Клеменс"... |
import argparse
import os
from typing import List, Tuple, Dict
from Plotter import Plotter
from shapely.geometry.polygon import Polygon, LineString, orient
from shapely.geometry import Point
from math import atan2
from math import pi
import numpy as np
###########################################
# Algorithmic Motion ... |
from ED6ScenarioHelper import *
def main():
# 蔡斯
CreateScenaFile(
FileName = 'R3401 ._SN',
MapName = 'Zeiss',
Location = 'R3401.x',
MapIndex = 1,
MapDefaultBGM = "ed60030",
Flags = 0,
En... |
import time
import sys
# file = open('flush.txt','w')
# file.write('a')
# # file.flush()
# time.sleep(20)
# file.close()
#
# for i in range(20):
# # sys.stdout.write('#')
# # sys.stdout.flush()
# print('#',end='')
# time.sleep(0.2)
# file = open('flush.txt','a')
# # file.write('a')
# file.truncate(1) ... |
from django import forms
from .models import Candidato, Experiencia
class CandidateForm(forms.ModelForm):
class Meta:
model = Candidato
fields = (
'cedula',
'nombre',
'puesto',
'departamento',
'salario_aspira',
'competencias'... |
class Solution:
def ladderLength(self, beginWord, endWord, WordList):
from collections import deque
from string import ascii_lowercase
WordList.add(endWord)
n = len(beginWord)
queue = deque([(beginWord, 1)])
while queue:
word, res = queue.popleft()
... |
# Generated by Django 3.0.8 on 2020-11-05 16:52
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('LandingPage', '0004_auto_20201103_1935'),
('campus', '0002_auto_20201105_2214'),
]
operations = [
m... |
# -*- coding: utf8 -*-
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.init
import torch.nn.functional as F
# import numpy as np
from loader import CAP_DIM
from torch.autograd import Variable
import math
'''
def _calculate_fan_in_and_fan_out(tensor):
dimensions = tensor.ndimen... |
import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
data=tf.keras.datasets.mnist
(x_train,y_train),(x_test,y_test)=data.load_data()
x_test=tf.keras.utils.normalize(x_test,axis=1)
x_train=tf.keras.utils.normalize(x_train,axis=1)
model=tf.keras.models.Sequential()
model.add(tf.k... |
from blogging.models import Post, Category
from rest_framework import serializers
class PostSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Post
fields = ['title', 'text', 'author', 'created_date', 'modified_date', 'published_date', 'categories']
class CategorySerializer(s... |
'''
Created on 11-Feb-2019
@author: prasannakumar
'''
class work1:
def cutting(self):
print("the worker can cut the trees")
def jump(self):
print("the man can jump")
print("pk") |
import threading
from time import sleep
from HRMListener import *
from usb import USBError
import requests
import config
import json
class HRMThread(threading.Thread):
# #inerval is the period the thread get HR from device
def __init__(self, monitorScreen, statusMessage, interval=10, userID=None):
th... |
from pre_exam_concert_data import student_data, with_accompaniment_costs, no_accompaniment_costs
# Variables
final_cost = 0
audience_ticket = 10
print("Pre-Exam Concerts\n")
for i in range(2):
new_dictionary = {}
performer_name = input("Name of performer: ")
new_dictionary['Performer name'] = performer... |
from django.contrib import admin
from .models import Link, SideBar
from blog_sys.custom_site import custom_site
from blog_sys.base_admin import BaseOwnerAdmin
# Register your models here.
@admin.register(Link, site=custom_site)
class LinkAdmin(BaseOwnerAdmin):
list_display = ('title', 'href', 'weight', 'status'... |
"""
@author: Gaetan Hadjeres
"""
from BFT.handlers import EncoderDecoderHandler
from BFT.positional_embeddings import PositionalEmbedding
import importlib
import os
import shutil
from datetime import datetime
import click
import torch
import torch.multiprocessing as mp
import torch.distributed as dist
from torch.nn.p... |
from .sign_up import SignUpForm
|
# flake8: noqa
from . import model
|
import matplotlib.pyplot as plt
import numpy as np
import torch
def plot_graph(data, labels, legends, title):
"""
Plot multiple graphs in same plot
:param data: data of the graphs to be plotted
:param labels: x- and y-label
:param legends: legends for the graphs
:param title: Title of the gra... |
"""
Support for Zoneminder.
For more details about this component, please refer to the documentation at
https://home-assistant.io/components/zoneminder/
"""
import logging
import json
from urllib.parse import urljoin
import requests
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from ... |
a=int(input())
b=''
for i in range(2,a,2):
if a%i==0:
b+=str(i)+" "
print(b+str(a))
|
from to_send_a_fax import E, f
import unittest
class ToSendAFaxTest(unittest.TestCase):
def test_E(self):
self.assertEqual(4, E(0)) # zero
self.assertEqual(3, E(1)) # one
self.assertEqual(3, E(2)) # two
self.assertEqual(5, E(3)) # three
self.assertEqual(4, E(4))... |
from django.contrib import admin
from .models import Aluno, Professor
admin.site.register(Aluno)
admin.site.register(Professor) |
from django import forms
from .models import question,answer
class question_form (forms.ModelForm):
class Meta :
model = question
fields = ('question',)
class answer_form (forms.ModelForm):
class Meta :
model = answer
fields = ('the_answer',)
|
import pandas as pd
import matplotlib.pyplot as plt
TWOTAILED = 'TTT'
ONETAILED = 'OTT'
ALPHA05 = 0.05
ALPHA01 = 0.05
selalpha = ALPHA05
#selalpha = float(raw_input())
dfw = pd.read_csv("./WSRTdf.csv")
df = pd.read_csv("./SystolicBloodPressureAnalysis.csv")
number_of_samples = len(df)
df['Difference'] = df.... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 2 21:55:47 2019
@author: robertwinslow
I want to have a big list of substances tagged with properties for a little doodle.
The substances are stored in an outside textfile with the following format.
[tags] Name
Tags are:
H=hot, h=cold
D=d... |
import argparse
import shutil
import numpy as np
from os import makedirs
from os.path import join, exists
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir', default='data/elmo',
help='Directory containing the dataset')
parser.add_argument('--output_dir', default='data/averaged_elmo',
help='Output dir... |
class Employee:
""" simple model to blueprint an employee"""
def __init__(self,fname,lname,salary):
""" set employee name and salary"""
self.first_name = fname
self.last_name = lname
self.salary = salary
def give_raise(self,amount=5000):
""" give $5000 raise as defa... |
#!/usr/bin/env python3
import argparse
import itertools
import os
import posixpath
import re
try:
import cPickle as pickle # Python 2
except ImportError:
import pickle # Python 3
import ninja
def _parse_args():
parser = argparse.ArgumentParser()
# Ninja input file options
parser.add_argument... |
import torch
from braindecode import EEGClassifier
from braindecode.models import ShallowFBCSPNet
from sklearn.pipeline import Pipeline
from skorch.callbacks import EarlyStopping, EpochScoring
from skorch.dataset import ValidSplit
from moabb.pipelines.features import Resampler_Epoch
from moabb.pipelines.utils_pytorch ... |
#!/usr/bin/python
## -*- coding: utf-8 -*-
#
import json
#import db_conf
import cgi
import sys
import sqlite3
conn = sqlite3.connect('sqlite/hemap_core3.db')
conn.text_factory = str
c = conn.cursor()
qform = cgi.FieldStorage()
inparam = "CML"#
inparam = "GSM219392 GSM219393 GSM219394"
inparam = qform.getvalue('inparam... |
number=int(input("number of terms you want?"))
num1,num2=0,1
count=0
if number<=0:
print("enter positive number")
elif number==1:
print("fibonacci series up to:",number,":")
print(num1)
else:
print("fibonacci series:")
while count<number:
print(num1)
num3=num1+num2
n... |
def print_welcome_message():
print("This program is a Push-Down Automata (PDA) string simulator.")
print("Given a PDA provided as a JSON file under files/, it will generate its transition table.")
print("With this transition table, it will then loop through the provided strings and print whether it is acce... |
import tensorflow as tf
a = tf.constant([1, 2, 3, 4, 5, 6], shape=[1,6])
b = tf.constant([1,1,1,1,1,1,1,1,1,1,1,1],shape=[6,2])
c = tf.matmul(a, b)
with tf.Session() as sess:
c = sess.run(c)
print(a.eval())
print(b.eval())
print(c)
'''
PCA随机数据
import matplotlib.pyplot as plt
batch_size = 37
seed = 2... |
#!/usr/bin/env python
# This code is strictly for demonstration purposes.
# If used in any other way or for any other purposes. In no way am I responsible
# for your actions or any damage which may occur as a result of its usage
# dnsSpoof.py
# Author: Nik Alleyne - nikalleyne at gmail dot com
# http://securitynik.blog... |
# Generated by Django 2.1.5 on 2019-10-28 10:58
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Company',
fields=[
('id', m... |
# Generated by Django 3.0.5 on 2020-05-11 23:35
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('appointments', '0008_auto_20200510_1654'),
]
operations = [
migrations.RemoveField(
model_name='appointment',
name='attorney... |
# -*- coding: utf-8 -*-
import os, logging, re, traceback, sys
import requests
import time
#
import browsercookie
#
import settings
from bs4 import BeautifulSoup
from torrequest import TorRequest
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
SESSION = requests.Session()
SESSION.cookies = browser... |
D, G = map( int, input().split())
DP = [0 for i in range(G/100+1)]
for i in range(D):
p, c = map( int, input().split())
P.append(p)
C.append(c)
|
#!/usr/bin/env python3
# coding=utf-8
"""The setup script."""
from setuptools import setup, find_packages
with open("README.rst") as readme_file:
readme = readme_file.read()
with open("HISTORY.rst") as history_file:
history = history_file.read()
version = {}
with open("./pancakes/version.py") as version_fi... |
import os, rasterio
import xarray as xr
import geopandas as gpd
from shapely.geometry import Point
import pandas as pd
import numpy as np
from affine import Affine
import datetime
base_path = '/atlas_scratch/malindgren/nsidc_0051'
out_dict = {}
metrics = ['freezeup_start','freezeup_end','breakup_end','breakup_start']... |
import scrape_mars
scrape = scrape_mars.news_scrape()
print(scrape)
|
import logging
log = logging.getLogger('onegov.agency')
log.addHandler(logging.NullHandler())
from onegov.agency.i18n import _
from onegov.agency.app import AgencyApp
__all__ = (
'_',
'AgencyApp',
'log',
)
|
#!/usr/bin/env python
# Author: Jin Lee (leepc12@gmail.com)
import sys
import os
import argparse
from encode_lib_common import (
log,
ls_l,
mkdir_p,
rm_f,
)
from encode_lib_genomic import (
bam_to_pbam,
)
def parse_arguments():
parser = argparse.ArgumentParser(prog='ENCODE bam to pbam',
... |
{
"scan_id": "f96e0fe3e21246e3a1cae6d3f59725f2c387f040009766fdfeb11d75487d3e35-1528131725",
"resource": "f96e0fe3e21246e3a1cae6d3f59725f2c387f040009766fdfeb11d75487d3e35",
"scan_date": "2018-06-04 17:02:05",
"permalink": "https://www.virustotal.com/file/f96e0fe3e21246e3a1cae6d3f59725f2c387f040009766fdfeb11d75487d3e... |
import os
import cv2
import numpy as np
import time
import copy
import cv2
import json
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import DataLoader, Dataset
from torch.optim import lr_scheduler
from torchvision import datasets
from facenet_pytorc... |
#!/usr/local/bin/python3
import random
test_count = 63
for _ in range(test_count):
a = str(random.randint(10, 99))
b = str(random.randint(10, 99))
op = '+' if random.randint(0, 1) == 0 else '-'
print(a, op, b)
|
#!/usr/bin/env python
import numpy as np
import os
import ext.progressbar as progressbar
from itertools import permutations
""" misc.py - Place some often reused functions here """
def drawwidget(discription, ljust=20):
""" Formats the progressbar. """
widget = [discription.ljust(ljust), progressbar.Percenta... |
# -*- coding: utf-8 -*-
from django.core.management.base import BaseCommand, CommandError
from lightning import LightningRpc
from charged.api import Ln
from django.conf import settings
class Command(BaseCommand):
help = 'lightning info'
#def add_arguments(self, parser):
# parser.add_argument('command' ,... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='RelatedResource1',
fields=[
('id', models.AutoF... |
# Generated by Django 2.2.19 on 2021-03-19 11:28
from django.conf import settings
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('home', '0003_answers_question'),
]
operations = [
... |
my_list_1 = [2,2,5,12,8,2,12]
# создание словаря с колючами из списка
my_dict_1 = dict.fromkeys(set(my_list_1),0)
# подсчёт количества повторов каждого значения в списке с занесением резельтата в значение словаря
for number in my_list_1:
my_dict_1[number] += 1
# финальный список создаём из ключей значение которых р... |
import matplotlib.pyplot as plt
import datetime
import json
import os
PIE_COLOR = ['#ff9999', '#99ff99', '#ffcc99']
SURVEY_FIELDS = ['good', 'neutral', 'bad']
class Survey:
def __init__(self, save_path):
"""
:param save_path: Where information should be saved
"""
self.survey_info... |
# Python library for the SparkFun's line of u-Blox GPS units.
#
# SparkFun GPS-RTK NEO-M8P:
# https://www.sparkfun.com/products/15005
# SparkFun GPS-RTK2 ZED-F9P:
# https://www.sparkfun.com/products/15136
# SparkFun GPS ZOE-M8Q:
# https://www.sparkfun.com/products/15193
# SparkFun GPS SAM-M8Q:
# https://www.spa... |
#coding=utf-8
class test_judgeday_base_yearmonthday:
year=""
month=""
day=""
actoryDay=""
def years(self):
print("请输入年份:")
ye=input()
if ye.isdigit():
if int(ye)%4==0:
return 0
else:
return 1
else:
... |
# Copyright 2010-2011 OpenStack Foundation
# Copyright (c) 2013 Hewlett-Packard Development Company, L.P.
#
# 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/licens... |
import psycopg2
conn = psycopg2.connect("dbname=siavash_database")
cur = conn.cursor()
cur.execute("""
CREATE TABLE new_schema.Encounters (
Encounter_EntryID integer,
MRN text,
Encounter_UniqueID integer,
Encounter_Date date,
Encounter_Status text,
Encounter_Type text,
Encounter_Department text,
... |
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