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#!/usr/bin/env python3
import board
import busio
import adafruit_ads1x15.ads1115 as ADS
from adafruit_ads1x15.analog_in import AnalogIn
from RPLCD import CharLCD
import time
from RPi import GPIO
i2c = busio.I2C(board.SCL, board.SDA)
ads = ADS.ADS1115(i2c)
lightchan = AnalogIn(ads, ADS.P1)
rainchan = AnalogIn(ads, AD... |
from django.shortcuts import render
import requests
import datetime
from datetime import date
def index(request):
x = datetime.datetime.now()
month = x.strftime('%-m')
day = x.strftime('%-d')
year = x.strftime('%Y')
future_date = date(2019, 6, 4) ## returns the number of day from this date... |
"""Core tests."""
import csv
import logging
import unittest
from typing import Iterator, List, Tuple
import yaml
from oaklib import get_adapter
from oaklib.datamodels.vocabulary import IS_A, PART_OF
from oaklib.interfaces.obograph_interface import OboGraphInterface
from ontogpt.io.yaml_wrapper import dump_minimal_yam... |
#TAGS dp, kadane
# variant of kadane
class Solution:
def maxProduct(self, nums: List[int]) -> int:
cur_max = 1
cur_min = 1
res = float('-inf')
for v in nums:
cur_max, cur_min = max(v * cur_max, v * cur_min, v), min(v * cur_max, v * cur_min, v)
res = max(cur_m... |
# Copyright (c) MONAI Consortium
# 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 required by applicable law or agreed to in writing, so... |
import arviz as az
import pymc3 as pm
import random
import numpy as np
import pandas as pd
import logging
# removes pymc3 sampling output apart from errors
logger = logging.getLogger('pymc3')
logger.setLevel(logging.ERROR)
def convert_full_model(model, num_samples, InferenceData_dims, InferenceData_coords):
"""
... |
import math
import pandas as pd
from uuid import uuid4
from db import select_song, insert_db
def extract_log_file(path):
df = pd.read_json(str(path), dtype={"userId": object, "sessionId": object}, lines=True)
# get rows which have NextSong value
df = df[df['page']=='NextSong']
return (
pd.to_datetime(... |
from typing import Dict
from typing import List
from arg.qck.decl import QKUnit, QCKQuery, QCKCandidate
from arg.qck.instance_generator.qcknc_datagen import QCKInstanceGenerator, QCKCandidateI
from arg.qck.qck_worker import QCKWorker
from arg.robust.qc_common import load_candidate_all_passage
from cache import load_... |
# -*- coding: utf8 -*-
import string
from django.core.management.base import BaseCommand
from strongs.models import BibleBook
from progressbar import print_progress
class Command(BaseCommand):
help = 'Initializes the database with the bible books found in the file bibleBooks_de.txt.'
def add_arguments(self, ... |
# Help on class TempConstr in module gurobipy:
class TempConstr():
"""
TempConstr(lhs, sense, rhs)
Gurobi temporary constraint object. Objects of this class are created
as intermediate results when building constraints using overloaded
operators.
Methods defined here:
__ge__(self, rhs)
... |
#==========================================================================
#
# Copyright Insight Software Consortium
#
# 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... |
weight = int(input("Enter your weight: "))
choice = input("(L)bs or (K)gs ? ")
if choice == 'l' or choice == 'L':
wei = str((weight*0.45))
print("Your weight in Kilos is: "+wei+" Kgs")
elif choice == 'k' or choice == 'K':
wei1 = str((weight*2.205))
print("Your weight in Pounds is: "+wei1+" Pounds")
else... |
"""
All code must be within the following functions
"""
def format_names(name):
"""
The format names function accepts a list of names.
It then modifies each name in that list to ensure that it is in
title case.
You must return a list of title case names
"""
def name_swap(passage, word, ... |
import json
import glob
import pickle
import sys
import os
import random
import hashlib
import uuid
import datetime
from typing import Dict
import numpy as np
from PySide2.QtWidgets import QApplication
from gui.mainplate import MainPlate
import function.const as const
if __name__ == '__main__':
if not os.path.is... |
# -*- coding: UTF-8 -*-
from flask import Flask, render_template, request, redirect, abort, url_for, g, session, send_file
from flask.ext.mysql import MySQL
import os, sys, re, auth, files, filters
from decorators import login_required
# Encoding Hack
try:
reload(sys)
sys.setdefaultencoding('utf-8')
except e... |
import numpy as np, scipy, math, itertools
import pandas as pd
from numpy import matlib
from scipy.stats import chi
from scipy import integrate
from pip.util import Inf
from functions import *
import numpy as np
import itertools
import math
import scipy
from scipy.stats import chi
import time
from scipy.integrate impor... |
import timeit
test_hasattr = """
if hasattr(gizmo, 'gadget'):
feature = gizmo.gadget
else:
feature = None
"""
test_getattr = """
feature = getattr(gizmo, 'gadget', None)
"""
test_tryget = """
try:
feature = getattr(gizmo, 'gadget')
except AttributeError:
feature = None
"""
class Gizmo:
def __in... |
import requests
import json
import io
from PIL import Image
import base64
subscription_key = ""
#subscription_key = ""
#################################################
#face-detect 1
#################################################
face_api_url = "https://westcentralus.api.cognitive.microsoft.com/face/v1.0/detect"
h... |
import string
def punc_func(exclude):
punc = r''
for char in string.punctuation:
if char not in exclude:
punc = punc + r'\%s' % char
return punc
digits = string.digits
letters = string.letters
literal_punc = punc_func("'")
dbl_quoted_punc = punc_func("\"")
strongem_punc = punc... |
import io
import logging
import os
import time
from contextlib import redirect_stderr
from unittest.mock import patch
import pytest
import ray
from ray import tune
from ray.data.preprocessor import Preprocessor
from ray.train.data_parallel_trainer import DataParallelTrainer
from ray.train.gbdt_trainer import GBDTTrai... |
import sunck
"""
__name__属性：
模块就是一个可执行的.py文件，一个模块被另一个程序引入，我不让想让模块中的某些代码执行，
可以用__name__属性来是程序仅调用模块中的一部分。
"""
sunck.say_good()
|
#!/usr/bin/python
# Start pensando agent and hostsim on all nodes
import time
import sys
import os
import argparse
import paramiko
import threading
import json
import http
import exceptions
import traceback
# Port numbers - keep in sync with venice/globals/constants.go
APIGwRESTPort = "443"
CMDClusterMgmtPort = "900... |
import numpy as np
from RandomWalk import RandomWalk
import math
import matplotlib.pyplot as plt
from datetime import datetime
def run_exp3():
# params is lamda and best alpha pair
params = []
for i in range(11):
if i < 5:
params.append([i*0.1, 0.2])
elif i < 8:
para... |
import os
N=[120,300,600,1200,2400,4800,9600,19200]
R=[2,3]
K=4
os.system("rm result/*.csv")
for r in R:
os.system("echo N,K,R,tmap,tshuffle,treduce,texecution > result/"+str(r)+"_coded.csv")
os.system("echo N,K,R,tmap,tshuffle,treduce,texecution > result/uncoded.csv")
for n in N:
os.system("rm *.txt")
pr... |
import os
import numpy as np
fpath = os.path.join('Resources', 'aoc201805_data.txt')
with open(fpath, 'r') as f:
data = f.read().strip()
def react(data):
stack = []
for letter in data:
if stack and letter.lower() == stack[-1].lower() and letter != stack[-1]:
stack.pop()
else:
... |
import os, sys
import numpy as np
import matplotlib.pyplot as plt
import pickle
def vel_track(x, u):
track = np.where(u > 0.50)
if len(track[0]) > 0: # field is above half max
x_l, x_h = track[0][0], track[0][-1]
if x_l < 5 or x_h > N - 5:
print("Hit boundary...")
end ... |
import torch
import numpy as np
IMG_WIDTH = 448
IMG_HEIGHT = 448
S = 7 # number of grid cell is S*S
B = 2 # number of bbox for each grid cell
C = 20 # number of classses
def read_labels(label_file):
with open(label_file, 'r') as f:
lines = f.readlines()
labels = []
for l in lines:
... |
# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
import jupyxplorer.parser as parser
import pytest
from . import CONFIG_EXAMPLE
def test_load_yaml(mocker):
# Given
data = CONFIG_EXAMPLE
file_path = "/path/tests"
expected_result = data
mocker.patch.object(parser.yaml, "load",... |
from django.conf.urls import url
from . import views
urlpatterns=[
url(r'^$',
views.Lista.as_view(),
name='list'),
url(r'^(?P<pk>\d+)$',
views.Detalle.as_view(),
name='detail'),
url(r'^nuevo/$',
views.Crear.as_view(),
name='new'),
url(r'^editar/(?P<pk>\d+)$',
views.Actualiza.as_view(),
name='edi... |
from typing import List
PMAP = {
"AUG": "Methionine",
"UUU": "Phenylalanine",
"UUC": "Phenylalanine",
"UUA": "Leucine",
"UUG": "Leucine",
"UCU": "Serine",
"UCC": "Serine",
"UCA": "Serine",
"UCG": "Serine",
"UAU": "Tyrosine",
"UAC": "Tyrosine",
"UGU": "Cysteine",
"UGC"... |
import argparse
import os,sys
import subprocess as sp
import shlex
import yaml
def run_bash_cmd(cmd_str):
"""
runs command string in a bash shell
"""
print("%s" %(cmd_str))
sp.call(cmd_str,shell=True,executable="/bin/bash")
#This allows for the command to output to console while running but with cer... |
__all__ = ['IpoptConfig', 'IpoptSolver', 'SnoptConfig', 'SnoptSolver', 'OptProblem', 'OptResult',
'OptSolver', 'OptConfig']
from .pyoptsolvercpp import __with_snopt__, __with_ipopt__, __version__
if __with_snopt__:
from .pyoptsolvercpp import IpoptConfig, IpoptSolver
else:
print("Cannot import IpoptW... |
#!/usr/bin/python
# coding: utf-8
import logging
import os
import re
import sys
import util
from datetime import datetime, timedelta
from future.utils import string_types
from telegram import MessageEntity
from telegram.error import BadRequest, TelegramError
from telegram.ext import Updater, CommandHandler, RegexHandl... |
'''PROJECT EULER PROBLEMS
AUTHOR: VAL MCCULLOCH
PROBLEM 2:
Each new term in the Fibonacci sequence is generated by
adding the previous two terms. By starting with 1 and 2,
the first 10 terms will be:
1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ...
By considering the terms in the Fibonacci sequence whose values do
not exceed... |
from typing import List
class Solution:
def combine(self, n: int, k: int) -> List[List[int]]:
def combinations(nums, combination):
if len(combination) == k:
result.append(list(combination))
return
for i in range(len(nums)):
combinati... |
from dataclasses import dataclass
from typing import Optional
from labby.server import ExperimentSequenceStatus, Server, ServerResponse, ServerRequest
@dataclass(frozen=True)
class ExperimentStatusResponse(ServerResponse):
sequence_status: Optional[ExperimentSequenceStatus]
@dataclass(frozen=True)
class Experi... |
"""GRID CLASS."""
import pygame
class grid():
def __init__(self, screen, height, width, blockSize):
self.height = height
self.width = width
self.blockSize = blockSize
self.row = height // blockSize
self.col = width // blockSize
self.screen = screen
self.p... |
from datetime import datetime
from unittest import TestCase
from apel.parsers import SlurmParser
class ParserSlurmTest(TestCase):
'''
Test case for SLURM parser
'''
def setUp(self):
self.parser = SlurmParser('testSite', 'testHost', True)
def test_parse_line(self):
... |
# Please edit this list and import only required elements
import webnotes
from webnotes.utils import add_days, add_months, add_years, cint, cstr, date_diff, default_fields, flt, fmt_money, formatdate, generate_hash, getTraceback, get_defaults, get_first_day, get_last_day, getdate, has_common, month_name, now, nowdate,... |
"""
재무제표 누락데이터 채우기
누락데이터 기준 : total_assets 가 누락된 행
누락데이터 보유 파일 :
"""
import os
import re
# import pandas as pd
import db_oper
import financial_reports as fr
def get_rdate_list():
df = db_oper.select_by_query('select distinct rdate from reports order by rdate')
rdate_df = df[['rdate']]
# print(rdate... |
import pandas as pd
from tqdm import tqdm
req_map = {}
with open("data/requests.csv", 'r') as trace:
for i, row in tqdm(enumerate(trace), desc="Running trace", total=417882879):
row = row.split(',')
id_ = int(row[2])
if id_ in req_map:
req_map[id_] += 1
else:
... |
try:
from app import create_app # noqa - running at container root
except ImportError:
from .app import create_app
application = create_app()
if __name__ == "__main__":
application.run()
|
import json
import re
from utils import *
class Vers:
def __init__(self, character, content):
self.character = character
self.content = content
def __str__(self):
return "{} : {}".format(self.character, self.content)
class Piece:
def __init__(self, title):
se... |
from django.db import models
# Create your models here.
class passage(models.Model):
source = models.CharField(max_length=120)
reference = models.CharField(max_length=120)
genres = models.CharField(max_length=20)
authors = models.CharField(max_length=50)
time_period = models.DateField()
locatio... |
import pytest
import numpy as np
import sys
import cv2
sys.path.append(".")
import ex0
import re
epsilon = .0001
def all_similar(t1, t2):
"""Test the maximum square error is lesser than epsilon."""
delta = (t1 - t2) ** 2
correct = delta > epsilon
return correct.reshape(-1).mean() == 0
... |
from sklearn.model_selection import GroupShuffleSplit
def find_best_group_split(dataframe, target_feature, group_by_feature, balance_focus="train"):
"""
:param dataframe: pandas.Dataframe
dataframe to split for max balance
:param target_feature: string
name of the target feature of the data... |
import random
from abc import ABC, abstractmethod
from collections import OrderedDict
import numpy as np
from mesa import Agent
from sklearn.metrics.pairwise import cosine_similarity
import copy
import sys
import re
class SnetAgent(Agent, ABC):
def __init__(self, unique_id, model, message, parameters):
#... |
from django.shortcuts import render
from django.http import HttpResponse, HttpResponseNotFound
from .models import *
import requests, json
import xml.etree.ElementTree as ET
import kookoo
from random import random, randint
from django.shortcuts import render, render_to_response
def call_ivr(request):
if request.metho... |
from random import randint
numero_informado = -1
numero_secreto = randint(0, 8)
while numero_informado != numero_secreto:
numero_informado = int(input('Informe a senha: '))
print('Numero encontrado')
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
UW, CSEP 573, Win19
"""
from pomdp import POMDP
from onlineSolver import OnlineSolver
import numpy as np
class AEMS2(OnlineSolver):
def __init__(self, pomdp, lb_solver, ub_solver, precision = .001, action_selection_time = .1):
super(AEMS2, self).__init__(... |
import logging
from cookiecutter.main import cookiecutter
def run_task(name: str, description: str, parameters: dict, service_metadata: dict):
logging.info("Generating project directory using cookiecutter")
template_url_field_name = parameters['template_url_field_name']
parameters_field_name = parameters... |
# Definition for a binary tree node
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
# @param root, a tree node
# @return a boolean
def isSymmetric(self, root):
if root == None:
retu... |
"""
Pytorch Implementation of our GFFnet models based on Deeplabv3+ with WiderResNet-38 as backbone.
Author: Xiangtai Li (lxtpku@pku.edu.cn)
"""
import logging
import torch
from torch import nn
from network.wider_resnet import wider_resnet38_a2
from network.deepv3 import _AtrousSpatialPyramidPoolingModule
fro... |
#!/usr/bin/env python
import sys
if len(sys.argv) != 3 :
sys.stderr.write('%s flux d_kpc\n' % sys.argv[0])
exit()
flux = float(sys.argv[1])
d_kpc = float(sys.argv[2])
luminosity = 1.2e+32 * (flux / 1e-12) * d_kpc**2
dump = "flux: %.3e (erg/s/cm2)\n" % flux
dump += "distance : %.3e (kpc)\n" % d_kpc
dump += "lu... |
from django.shortcuts import render
from django.http import HttpResponse, JsonResponse
from .models import Clothes
import json
from django.views import View
from django.shortcuts import get_object_or_404
from django.core.serializers import serialize
class IndexView(View):
def get(self, request):
clothes = ... |
from os import getenv as env
class Config:
app_address = env('APP_ADDR', '0.0.0.0')
app_port = env('APP_PORT', '8080')
app_name = env('APP_NAME', 'mortimer')
llevel = env('LLEVEL', 'DEBUG')
app_salt = env('APP_SALT', 'MXhZifmhG7Zzegk2')
# cache settings
redis_enabled = bool(env('REDIS_ENA... |
import numpy as np
import pandas as pd
from backtesting.Indicator.Meanvariance import MeanVariance
from backtesting.example.measure.annualize_return import getReturn
"""
expand_dims的应用
预估收益率和协方差矩阵
"""
def black_litterman(returns,tau,P,Q):
# 先验收益率
expect_returns = returns.mean()
# 协方差矩阵
cov_returns = r... |
__all__ = ["szt_sys","szt_ceph_type", "szt_load_conf", "szt_log", "szt_sshconnection", \
"szt_net_tool", "szt_remote_base"] |
# -*- coding: utf-8 -*-
import requests
from meya import Component
class ChuckNorrisJoke(Component):
def start(self):
response = requests.get("http://api.icndb.com/jokes/random")
text = response.json()['value']['joke']
message = self.create_message(text=text)
return self.respond(m... |
# Minimum Skew
import sys
lines = open(sys.argv[1].strip(), 'r').readlines()
text = str(lines[0]).strip()
gc = 0 # g - c
skew = []
for i in range(len(text)):
if text[i] == 'C':
gc -= 1
if text[i] == 'G':
gc += 1
skew.append(gc)
m = min(skew)
for i in range(len(skew)):
if skew[i] ... |
from rummy_cubes_game import RummyCubesGame
def main(num_players, num_games):
while num_games > 0:
num_games -= 1
game = RummyCubesGame(num_players)
game.run()
if __name__ == "__main__":
number_of_players = 2
number_of_games = 1
main(number_of_players, number_of_games)
|
def adder(x, y):
"""Add two numbers together."""
print("INSIDE ADDER!")
return x + y
assert adder(2, 5) == 7
assert adder(2, 7) == 10, "expected 2+7 to be 10"
assert adder(2, 3) == 5
print("HELLO WORLD!")
|
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class fc(nn.Module):
def __init__(self, cfg, feature_shape, num_classes):
super(fc, self).__init__()
assert len(feature_shape) == 4, "Expect B*C*H*W"
feature_size = np.prod(feature_shape)
output_si... |
# -*- coding: GBK -*-
# ---------------------------------------------------------------------------
# PointsClusterDefault.py
# Created on: 2015-07-02 11:08:02.00000
# (generated by ArcGIS/ModelBuilder)
# Usage: PointsClusterDefault <InputExcel> <ClusterDistance> <OutPolygon> <OutPointsExcel> <OutPolygonsExecl>
# De... |
"""
计数排序（count sort）
1、找出数组中的最大、最小值
2、设置一个大小 = 最大值-最小值+1 的额外数组counts
3、利用下标统计arr中每个数出现的位置，arr中元素对应counts中下标为 counts[arr]+1
4、释放统计结果
适用于：
待排序列表中元素差值较小，重复元素较多
不足：当元素较多时，需要额外的空间较多
属性：
不稳定
O(n)时间复杂度
O(K)空间复杂度
测试用例：
arr = [10,1,3,4,2,8,11,4,67,3]
print(count_sort(arr))
"""
def count_sort(arr):
... |
import os,sys
from .ioc import Ioc as Ioc
class IocFile:
def __init__(self, file):
self.file = file
self.domains = set()
self.ips = set()
self.hashes = set()
self.emails = set()
self._parse_indicator_file(self.file)
def all_indicators(self):
... |
#!/usr/bin/Python
# -*- coding: utf-8 -*-
# __author__ = "haibo"
import xlrd
def test():
data = xlrd.open_workbook('demo.xlsx') # 打开demo.xls
sheet_names = data.sheet_names() # 获取xls文件中所有sheet的名称
for name in sheet_names:
print name
table = data.sheet_by_name(sheet_names[0])
print table.n... |
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompan... |
from django.db import models
# Create your models here.
from ckeditor_uploader.fields import RichTextUploadingField
class feed(models.Model):
id=models.IntegerField(primary_key=True)
author=models.CharField(max_length=100)
title=models.CharField(max_length=100)
description=RichTextUploadingField(blank=... |
import numpy
import math
import cv2
import random
import matplotlib
from scipy.special import gamma
import matplotlib.pyplot as plt
from functions import *
matplotlib.use("TkAgg")
def inverse_gamma(data, alpha=0.1, beta=0.1):
"""
Inverse gamma distributions
:param data: Data value
:param alpha: alpha ... |
from django.conf import settings
from django.contrib import admin
from django.urls import path, include
from django.contrib.auth import views as auth_views
from django.conf.urls.static import static # used for static files
urlpatterns = [
path('admin/', admin.site.urls, name='admin'),
path('login/', auth_vie... |
tab = ["i", "s", "r", "v", "e", "a", "w", "h", "o", "b", "p", "n", "u", "t", "f", "g"]
other_tab = ["a","b", "c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t","u","v","w","x","y","z"]
word = ["g", "i", "a", "n", "t", "s"]
for j in word:
sol = set()
for i in other_tab:
a = ord(i)
... |
import pathlib
import yaml
from typing import List
class MissingConfigurationError(Exception):
def __init__(self, missing: List[str]):
self.missing = missing
class SettingsConfig:
def __init__(self, base_url: str, tags: frozenset, cache_duration: int,
cache_file_duration: int, ca... |
from math import ceil, floor
n = input()
a = map(float, raw_input().split())
x = 0
isum = 0
fsum = sum(a)
for i in xrange(2*n):
if a[i] == int(a[i]):
x += 1
isum += floor(a[i])
ans = 10**10
for i in xrange(n-x, n+1):
ans = min(ans, abs(fsum - isum - i))
print "%.3f" % ans
|
from django.core.management.base import BaseCommand, CommandError
from app.models import BusinessLicense
class Command(BaseCommand):
help = 'Lorem ipsum'
def handle(self, *args, **options):
self.stdout.write(self.style.SUCCESS('Lorem ipsum!'))
|
import jax.numpy as jnp
from jax import vmap, grad, jit
from utils import *
from jax.scipy.stats import laplace, norm #, logistic
from itertools import chain
def inner_layerwise(act_prime, y):
return jnp.log(vmap(vmap(act_prime))(y))
def loss_layerwise(nonlinearity, ys):
sigma_prime = grad(nonlinear... |
# -*- coding: utf-8 -*-
#
# Testing Xor pre-trained model.
# @auth whuang022ai
#
import mlp
if __name__ == "__main__":
mlp = mlp.MLP(0, 0, 0, 0)
mlp.load_model('xor')
mlp.test_forward()
|
# -*- coding: utf-8 -*-
import sys
from PyQt5.QtWidgets import QApplication, QMainWindow,QFileDialog,QMessageBox,QWidget,QAction
from PyQt5.QtCore import pyqtSlot,QFile,QDir,Qt
from myEEGLAB import QEEGLAB
from ui_MainWindow import Ui_MainWindow
##from PyQt5.QtWidgets import
##from PyQt5.QtGui import
##from PyQ... |
from django.http import HttpResponse
from django.shortcuts import render
# Create your views here.
from django.views.decorators.cache import cache_page
from core.models import Trailer
@cache_page(timeout=10)
def index(request):
context = {
'random_list': Trailer.objects.all().order_by("?")[:30],
... |
# card.py
# by Johnathon Beaumier
# for use in my program for playing the Guillotine card game
from guillotine import events
# structure:
# method definition for helper function
# class definition for card types
# lists for card object creation and grouping
### Method Definitions ###################################... |
import collections
import operator
def getDistance(startX, endX, startY, endY):
# Get difference of every point with every co-ordinate
dist={}
for i in range(startX, endX+1):
for j in range(startY, endY+1):
for index,coord in coords.items():
if (i,j) not in dist.keys():
... |
#!/usr/bin/python3
# all arguments to this script are considered as json files
# and attempted to be formatted alphabetically
import json
import os
from sys import argv
files = argv[1:]
for file in files[:]:
if os.path.isdir(file):
files.remove(file)
for f in os.listdir(file):
files.a... |
# Upload wav file using ampy or deploy tar
#
# TAR:
# import utils.setup
# utils.setup.deploy("http[s]://path/to/file.tar")
import os
import struct
from machine import Timer
from machine import DAC, Pin
from time import sleep
#from utils.pinout import set_pinout
#pinout = set_pinout()
#out = pinout.PI... |
#!python
from typing import List
def is_sorted(items: List[int]) -> bool:
"""Return a boolean indicating whether given items are in sorted order.
Running time: O(n) we're iterating over all elements
Memory usage: O(1) we're not creating new memory"""
if len(items) < 2:
return True
for i in... |
import pymysql
import pandas as pd
class DBModel:
def __init__(self):
self.db_diet = pymysql.connect(
user='root',
passwd='111111',
host='127.0.0.1',
db='db_diet',
charset='utf8'
)
self.cursor = self.db_diet.cursor(pymysql.cursors... |
import FWCore.ParameterSet.Config as cms
from RecoBTag.Skimming.btagElecInJet_EventContent_cff import *
btagElecInJetOutputModuleAODSIM = cms.OutputModule("PoolOutputModule",
btagElecInJetEventSelection,
AODSIMbtagElecInJetEventContent,
dataset = cms.untracked.PSet(
filterName = cms.untracked.strin... |
# -*- coding: utf-8 -*-
# @Author: fengmingshan
# @Date: 2019-09-02 15:15:02
# @Last Modified by: Administrator
# @Last Modified time: 2019-09-06 17:12:31
import pandas as pd
import numpy as np
import os
import math
data_path = 'd:/2019年工作/2019年9月校园超忙小区分析/'
file = '能源学校_曲靖KPI指标_08-29_09.02.csv'
df_content = pd.re... |
from django.db import models
# Create your models here.
class User(models.Model):
name = models.CharField(
max_length=100
)
surname = models.CharField(
max_length=100
)
def __str__(self):
return self.name + self.surname
|
# -*- coding: utf-8 -*-
# from vaex import dataset
import vaex.dataset
from optparse import OptionParser
from mab.utils.progressbar import ProgressBar
import sys
import h5py
import numpy as np
def merge(output_filename, datasets_list, datasets_centering=None, sort_property=None, order_column_name=None, ascending=True... |
from colorama import Cursor, init, Fore
abc = "abcdefghijklmnopqrstuvwxyz 1234567890 %#@![]{}()?¿+-*/"
class UtilCrypto:
def __init__(self,key):
self.key = key
self.limitKey = len(abc) #si la key es mayor a la lontyiud de abc entonces error
def containerblock(self):
self.FILENAMES ... |
import numpy as np
import torch
from torch import nn
from torch.autograd import Variable
from torchvision.datasets import CIFAR10
torch.manual_seed(1)
def data_tf(x):
x = np.array(x, dtype='float32') / 255
x = (x - 0.5) / 0.5
x = x.transpose((2, 0, 1))
x = torch.from_numpy(x)
return x
train_set ... |
from flask import Flask, render_template, url_for, flash, redirect
from datetime import datetime
from flask_sqlalchemy import SQLAlchemy
from forms import LoginForm, RegistrationForm
app = Flask(__name__)
app.config['SECRET_KEY'] = 'oowewbcdeoproeporpebcoiffoekcjefdcdcndcoidfcbdc'
app.config['SQLALCHEMY_DATABASE_URI']... |
from __future__ import print_function
from stylelens_product.bigquery.amazon_search_keywords import AmazonSearchKeywords
from pprint import pprint
# create an instance of the API class
api_instance = AmazonSearchKeywords()
keywords = []
keyword = {}
keyword['keywords'] = 'sss2'
keyword['search_index'] = 'HC8000'
keyw... |
import matplotlib.pyplot as plt
import numpy as np
def generate_toy_data():
mean_a = [0.2, 0.2]
cov_a = [[0.01, 0], [0, 0.01]] # diagonal covariance
mean_b = [0.8, 0.8]
cov_b = [[0.01, 0], [0, 0.01]] # diagonal covariance
class_a_x = np.random.multivariate_normal(mean_a, cov_a, 500).T
cla... |
class Song(object):
def __init__(self):
self.song = song
self.file_path = file_path
#Set mutators and accessors for song
#Get path of song
#Set path of song
def set_song_path(self, file_path):
file_path = self.file_path
|
#!/usr/bin/env python
from __future__ import print_function
import socket
import sys
if len(sys.argv) >= 3:
srv = (str(sys.argv[1]), int(sys.argv[2]))
else:
srv = ("90.176.152.68", 28015)
query = "\xFF\xFF\xFF\xFF\x54Source Engine Query\x00"
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
try:
soc... |
import geocoder
def main():
# Declare destinations list here
destinations = ['Space Needle', 'Crater Lake', 'Golden Gate Bridge', 'Yosemite National Park', 'Las Vegas, Nevada', 'Grand Canyon National Park', 'Aspen, Colorado', 'Mount Rushmore', 'Yellowstone National Park', 'Sandpoint, Idaho', 'Banff National Pa... |
import modi
"""
Example script for the usage of ir module
Make sure you connect 1 ir module to your network module
"""
if __name__ == "__main__":
bundle = modi.MODI()
ir = bundle.irs[0]
while True:
print("{0:<10}".format(ir.proximity), end='\r')
|
from PIL import Image
from pandas import read_csv
import os
labels = read_csv('Large Files/test.rotfaces/test.preds.csv').values
for item in labels:
colorImage = Image.open(os.path.join('Large Files/test.rotfaces/test/', item[0]))
if item[1] == 'rotated_right':
rotated = colorImage.rotate(90)
if ... |
# -*- coding: utf-8 -*-
from models import Item_types as IT, Items, Prices, Places
from sqlalchemy import func
from auxiliary_functions import prepare_options
DEFAULT_CAT = "предмет роскоши"
DEFAULT_ITYPE = "предмет"
class Search:
@staticmethod
def item_result_to_dict(result):
result = [
... |
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