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#! /usr/bin/env python3
# Module imageImport.py
#################################################
# #
# Python functions for importing image files #
# #
# Author: Robert Thomas #
# Username: rjst20 #
# #
#################################################
# OpenCV used for... |
#Boa:Frame:Frame2
import wx
import MySQLdb
def create(parent):
return Frame2(parent)
[wxID_FRAME2, wxID_FRAME2BUTTON1, wxID_FRAME2BUTTON2, wxID_FRAME2BUTTON3,
wxID_FRAME2BUTTON4, wxID_FRAME2BUTTON5, wxID_FRAME2BUTTON6,
wxID_FRAME2BUTTON7, wxID_FRAME2BUTTON8, wxID_FRAME2PANEL1, wxID_FRAME2START,
] = [wx.NewI... |
import argparse
import logging
import apache_beam as beam
from apache_beam.io.gcp.internal.clients import bigquery
class BigQueryToBigQuery(beam.DoFn):
def __init__(self):
pass
def process(self, element):
pass
def run(argv=None, save_main_session=True):
'''Main run method'''
... |
import logging
from collections import deque
from itertools import permutations
import networkx as nx
import numpy as np
from tqdm import trange
from LearningWithExpertKnowledge.expert import *
from LearningWithExpertKnowledge.graph import DAG
class Estimator:
def __init__(self, data: pd.DataFrame, expert: Expe... |
# Copyright (c) 2021, Manfred Moitzi
# License: MIT License
from typing import Union, List, Dict, Tuple
import math
from matplotlib.textpath import TextPath
from matplotlib.font_manager import FontProperties, findfont
from ezdxf.entities import Text, Attrib, Hatch
from ezdxf.lldxf import const
from ezdxf.math import... |
import collections
class Node():
def __init__(self):
self.child = collections.defaultdict(Node)
self.isWord = False
self.s = ""
self.cnt = 0
class WordDictionary:
def __init__(self):
self.root = Node()
def addWord(self, word: str) -> None:
cur = sel... |
import os
path = 'c:\\tmp\\csv'
s = '10秒'
d = '10s_20180521_20180523'
fs = os.listdir(path)
for f in fs:
os.rename(path + '\\' + f,
path + '\\' + f.replace(s, d)) |
# Basic training configuration file
from pathlib import Path
from torchvision.transforms import RandomVerticalFlip, RandomHorizontalFlip
from torchvision.transforms import RandomResizedCrop
from torchvision.transforms import ToTensor, Normalize
from common.dataset import get_test_data_loader
SEED = 12345
DEBUG = True... |
from django.urls import path
from . import views
urlpatterns = [
path('', views.search, name='search'),
path('<str:word>/', views.word_detail, name='wordDetail'),
path('wordDetail/pdf/<str:document>/',views.pdf_openner, name='pdfOpenner')
] |
import os
import cv2
import numpy as np
from keras.models import Sequential, load_model
from keras.layers import Dropout, Activation, Dense
from keras.layers import Flatten, Convolution2D, MaxPooling2D
from keras.callbacks import EarlyStopping
from sklearn.model_selection import KFold, train_test_split, GridSearchCV
im... |
q = 0
def endQuestion():
global q
q += 1
print("End of question", q)
# end of def
# 1. Biggie Size - Given a list, write a function that changes all positive numbers in the list to "big".
# Example: biggie_size([-1, 3, 5, -5]) returns that same list, but whose values are now [-1, "big", "big", -5]
def ... |
for i in range(int(input())):
s = input()
if '1' not in s:
print("NO")
else:
chng = 0
i = 1
while i<len(s) and chng <= 2:
if s[i] != s[i-1]:
chng += 1
i+=1
if chng == 2 and s[0] == '0':
print("YES")
elif chng... |
from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class user_master(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE, primary_key = True)
username = models.CharField(max_length=50)
email = models.EmailField(max_length=50, uni... |
"""
Write a program that asks the user how many people are in their dinner group.
"""
seating = input('How many people are in your dinner group?\n')
seating = int(seating)
if seating > 8:
print("You need to wait for a table.")
else:
print("Table is ready!")
|
entry = input()
while entry != '2002':
print('Senha Invalida')
entry = input()
print('Acesso Permitido') |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2014-present Godot Engine contributors (see AUTHORS.md).
# Copyright (c) 2007-2014 Juan Linietsky, Ariel Manzur.
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Soft... |
import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.optimizers import SGD
from keras.datasets import cifar10
# Generate dummy data
import numpy as np
# x_train = np.random.random((1000, 20))
# y_train = keras.utils.to_categorical(np.random.randint(10, size=(1... |
# Register your models here.
from django.contrib import admin
import models
admin.site.register(models.Restaurant) |
class instruction:
binary = ''
def __str__(self):
return self.binary
def parse(self, line):
line = line.strip()
line = line.replace('<',';')
line = line.replace('>',';')
output = line.split(';')
return str(output[2])
class a_instruction(instruction):
d... |
# Databricks notebook source
# Set credentials for blob storage
spark.conf.set("fs.azure.account.key.databricksstoragedevweu.blob.core.windows.net", "******accesskey******")
username = "guido.tournois@icemobile.com" # AAD user with READ permission on database
password = dbutils.secrets.get("guido.tournois@icemobile.... |
# 读取id、姓名、成绩
# aa.xlsx:
# id||name||score
# 1||mike||88.5
# 2||amy||60.8
# 3||bob||79.6
import xlrd
# region (1)将excel内容存于student类型的list
class student():
def __init__(self):
self.id = 0
self.name = 0
self.age = 0
def read_student(filename):
workbook = xlrd.open_work... |
import numpy
from ltp_core.datamodules.components.srl import Srl
from ltp_core.datamodules.utils.datasets import load_dataset
def tokenize(examples, tokenizer, max_length):
res = tokenizer(
examples["form"],
is_split_into_words=True,
max_length=max_length,
truncation=True,
)
... |
#-*-coding:UTF_8-*-
import re
import json
sf= input('')
sf=sf[:-1]#删去末尾的'.'
pf={
'姓名':'',
'手机':'',
'地址':[],
}
#提取难度级别并删去
level=sf[0]
sf=sf.split(r'!')
sf=sf[1]
#提取号码并删去
telnum=re.findall("\d{11}",sf)
telnum=telnum[0]
sf=re.sub(r'\d{11}','',sf)
#提取人名并删去
name=re.sub(r',.*$',"",sf)
sf=re.sub(name,'',sf... |
from datetime import datetime
'''
print(datetime.now())
print(datetime.now().day)
print(datetime.now().month)
print(datetime.now().year)
print(datetime.now().time())
# criar data
lancamento_ap = datetime(2021,5,6)
print(f'Data de Lançamento: {lancamento_ap}')
receberdata = datetime.strptime(input("Quando dev... |
# Generated by Django 2.2.6 on 2019-12-16 19:52
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='speaker',
options={'verbose_name': 'palestrante... |
import yaml, os
class GetData:
def get_yaml_data(self, name):
"""
返回yaml文件数据
:param name: 需要读取文件名字
:return:
"""
#打开文件
with open("./Data" + os.sep + name, "r", encoding="utf-8") as f:
#加载文件
return yaml.safe_load(f) |
import calendar
y = int(input("Enter Year"))
m = int(input("Enter month"))
c = calendar.TextCalendar(calendar.SUNDAY)
str = c.formatmonth(y, m)
print(str)
|
from django.shortcuts import render
from django.http import Http404
from django import forms
import markdown2
from random import randrange
from . import util
class SearchForm(forms.Form): # lhs search form
search = forms.CharField(label='',
widget=forms.TextInput(attrs={'placeholder':'Search Encyclopedia'}))... |
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 7 22:42:11 2018
@author: gehui
"""
even_numbers = list(range(2,11,2))
print(even_numbers) |
#!/usr/bin/python
'''The third step of metagene_analysis, metagene_plot_only.py uses R to create
the metagene plot (as a PDF).
Please see README for full details and examples.
Requires:
python 2 (https://www.python.org/downloads/)
R (http://cran.us.r-project.org/)
Joy-El R.B. Talbot Copyright (c) 2014
The M... |
import os
import glob
"""
train.zipを解凍したtrainから
https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html
にあるように訓練データを振り分ける
"""
imgs_path = "./image_dir/*.png"
source_dir = "./train"
train_dir = "./data/train"
valid_dir = "./data/validation"
os.makedirs("%s/dogs" % train_dir)
os.... |
input = open('antiqs.in', 'r')
output = open('antiqs.out', 'w')
n = int(input.readline())
a=list()
for i in range(0,n):
a.append(i+1)
for i in range(0, n):
a[i], a[i // 2] = a[i // 2], a[i]
for i in range(0, n):
output.write(str(a[i]))
output.write(' ')
input.close()
output.close() |
rows = 20
cols = 20
size = 18
width = 650
height = 550
outline_gray = "gray"
outline_black = "black"
fill_empty = ""
fill_black = "#000000"
fill_white = "#ffffff" |
import pandas as pd
import cudf, cuml
df = pd.read_csv("data/data.csv")
columns=['name', 'artists', 'acousticness', 'danceability', 'energy', 'instrumentalness', 'key', 'liveness', 'loudness', 'speechiness', 'tempo', 'valence']
df_mod = df[columns]
keys = df_mod.iloc[:,:2].values.tolist()
features = df_mod.iloc[:,2:... |
import os
import json
import urllib2
#import jmsCode # JMS STOMP connection wrapper - needs stomp.py
import datetime
#///////////////////////////////////////////////////////////////////////////////////////////////
#
# Set of functions to handle the update payload from an instagram subscription upd... |
# 8.3 power set of a set
class Solution(object):
# Recursive solution, slow
def subsets(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
n = len(nums)
if n == 0:
return nums
elif n == 1:
return [nums, []]
el... |
from transformers import TFAlbertForSequenceClassification
class NN:
def __init__(self):
self._nn = self._create_nn()
def _create_nn(self) -> TFAlbertForSequenceClassification:
return TFAlbertForSequenceClassification.from_pretrained('albert-base-v2', num_labels=1)
def get_nn(self):
... |
import praw
from config_bot import *
# Reddit stuff
r = praw.Reddit(user_agent = "ARTCbot 1.3.0 by herumph",
client_id = ID,
client_secret = SECRET,
username = REDDIT_USERNAME,
password = REDDIT_PASS)
submission = r.submission(url='https://www.reddit.com/r/RumphyBot/comments/8gb347/moo... |
# Generated by Django 2.2.6 on 2020-05-13 16:52
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('companies', '0008_auto_20200513_0930'),
]
operations = [
migrations.AlterField(
model_name='eve... |
from ..models import Block
from ..models import Phase
from ..models import DrawingStatus
from ..models import Department
from ..models import Discipline
from ..models import DrawingKind
from ..models import Drawing
from ..models import Revision
from ..models import Comment
from ..models import Reply
from ..mo... |
import sys
def get_expression(s):
n_chars = len(s)
if n_chars == 0:
return s
exps = [ s[0] ]
for char in s[1:]:
n_exps = len(exps)
j = 0
while j < n_exps:
exp = exps[j]
exps[j] = exp + '+' + char#+
exps.append(exp + '-' + char)#-
... |
import picamera
import RPi.GPIO as GPIO
import threading
import os
import time
import logging
logging.basicConfig(filename='timelapse.log', level=logging.DEBUG, format='%(asctime)s %(message)s')
logging.getLogger().addHandler(logging.StreamHandler())
event_start = threading.Event()
GPIO_INPUT_BCM = 4 # p... |
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 13 16:57:34 2016
@author: Stanley
"""
rom_num = (input("Please enter a number in the simplfied Roman System:"))
return_num = 0
counter = 0
length = len(rom_num)
while (length > 0):
if (rom_num[counter] == "M"):
return_num += 1000
counter +=1
l... |
import numpy as np
import cv2
def color_predicts():
'''
给class图上色
'''
img = cv2.imread("image_3_predict.png",cv2.CAP_MODE_GRAY)
color = np.ones([img.shape[0], img.shape[1], 3])
color[img==0] = [0, 0, 0] #其他，黑色，0
color[img==1] = [255,0, 0]#烤烟，红色，1
color[img==2] = [0, 255, 0] #玉米，绿色，2
... |
from .hexutil import long_to_bytes
import itertools
class StreamReader:
def __init__(s, x):
s.str = x
s.pos = 0
def read(s, length=1):
if (s.pos + length) > len(s.str):
length = len(s.str) - s.pos
res = s.str[s.pos : s.pos + length]
s.pos += length
... |
import requests
from log import *
import json
def wavySendMessage(data):
log('***Invocando API send message de wavy***\n')
url = 'https://api-messaging.wavy.global/v1/whatsapp/send'
urlHeaders = {'Content-type': 'application/json','UserName': 'wa_telectronicperusac_pe','AuthenticationToken': 'nouxAVNgq... |
from django.core.management.base import BaseCommand
import requests
from mentions.models import Mention
class Command(BaseCommand):
def handle(self, **options):
url = "https://www.electionmentions.com/api/stream?since=2016-01-01"
req = requests.get(url)
results = req.json()
for ... |
f = open('text.txt', 'r')
text = f.read()
f.close
text1 = text
mas = []
q_mas = []
#task 1 with ' '
'''
abcdefgh
a[0:2] + ';' + [2:]
ab;cdefgh
a[3:5]
REPORT4 - bigrams without ' ' | не сквозные
pos1 = 0
pos2 = 2
text2 = ''
while 1:
text2 = text2 + text1[pos1:pos2] + ';'
pos1 = pos2
pos2 = pos1 + 2... |
# -*- coding: utf-8 -*-
import os, time, sys
import Tool
import random
param = {'Capacitance':'pF'}
class Instrument(Tool.MeasInstr):
def __init__(self, resource_name, debug = False,**keyw):
super(Instrument, self).__init__(resource_name,'AH2550A',debug,**keyw)
self.identify("Hello, this is ")... |
from django.shortcuts import render
from django.http import HttpResponse
from django.views.generic import TemplateView
import contracts
from utils import contract
from .models import Account
# Create your views here.
class IndexView(TemplateView):
template_name = 'contracts/index.html'
def get_context_data(se... |
import json
import os
import tkinter as tk
from tkinter import filedialog
class ConfigHandler:
__CONFIG_FILE = "config.json"
__PATH = "path"
__LIMIT = "limit"
def __init__(self): # TODO: this should be done better, for the moment it will suffice
if os.path.isfile(self.__CONFIG_FILE) and os.... |
import requests
from django.db import models
from django.contrib.gis.db import models
from django.contrib.gis.geos import Point
from django.utils.text import slugify
class Location(models.Model):
address = models.CharField(max_length=200)
city = models.CharField(max_length=50)
state = models.CharField(max... |
#!python3
# SimPy model for a fault_injector.
# The fault_injector injects faults into devices
# at a predetermined time (via a SimPy interrupt)
#
# Author: Neha Karanjkar
from __future__ import print_function
import os, sys
import threading
from queue import Queue
import simpy
import time
import json
import logging... |
from flask import Flask, render_template
from flask import request
import networkx as nx
import json
import pickle
from aminer.graph import setup_graph
from aminer.util import get_attached_subgraph, graph_to_d3tree_json, \
graph_to_d3nodelink_json, mst_from_graph, bfs_from_tree, neighborhood, \
deep_subgraph, b... |
from Rule import Rule
import json
class RulesList:
def __init__(self, filename : str, rules : list = []):
self.filename = filename
self.rules = rules
def readRules(self) -> None:
try:
with open(self.filename) as data:
self.rules = json.load(data)
exc... |
import re
# import datetime
import mdiag
# from collections import defaultdict
class GroupMdiagTests:
# Note the convention: If it passes the test, then it returns True.
# Otherwise, it returns false
@classmethod
def testTransparentHugepages(cls, groupMdiag):
# NOTE can also use section trans... |
def conRebanadas(c, i, n):
n = n + i
return c[i:n]
def sinRebanadas(c, i, n):
n = n + i
nueva = ""
for i in range(i, n):
nueva += c[i]
return nueva
# PROGRAMA PRINCIPAL
c = "Oid mortales el grito sagrado"
i = int(input("Índice: "))
n = int(input("Cantidad de caracteres: "... |
n = int(input())
a = list(map(int, input().split()))
if a.count(0) > 0:
ans = 0
else:
ans = 1
for i in a:
ans *= i
if ans > (10 ** 18):
break
if not ans > (10 ** 18):
print(ans)
else:
print(-1) |
import numpy as np
import sqlalchemy as sq
import bs4
import requests as rq
import pandas as pd
import time as t
import datetime
import random
print('import successful')
nom=900291
while nom<999999:
r=random.randrange(1,2)
res=rq.get('https://bina.az/items/'+str(nom))
if str(res)!='<Response [200]>':
... |
#In the 20x20,grid below, four numbers along a diagonal line have been marked in red.
from operator import mul
from functools import reduce
tab = [[ 8, 2,22,97,38,15, 0,40, 0,75, 4, 5, 7,78,52,12,50,77,91, 8],
[ 49,49,99,40,17,81,18,57,60,87,17,40,98,43,69,48, 4,56,62, 0],
[ 81,49,31,73,55,79,14,29,93,71,40,67,53,88,... |
import cv2
import time
import os
import HandTrackingModule as htm
#webcam setting
cap = cv2.VideoCapture(2)
hcam, wcam = 480, 640
cap.set(3, wcam)
cap.set(4, hcam)
#fps parameters
curTime = 0
prevTime = 0
#finger Images
folderPath = "Finger Images"
myList = os.listdir(folderPath)
myList.sort()
imgList = []
for imPat... |
from google.appengine.ext import vendor
vendor.add('certifi')
vendor.add('chardet')
vendor.add('urllib3')
vendor.add('requests')
vendor.add('requests-toolbelt')
vendor.add('prawcore')
vendor.add('praw')
vendor.add('dateutil')
def webapp_add_wsgi_middleware(app):
from google.appengine.ext.appstats import recording
a... |
class HeaderMixin:
header_path = ''
def get_context_data(self, **kwargs):
context = super().get_context_data(**kwargs)
context['header_path'] = self.header_path
return context
class SecondHeaderMixin(HeaderMixin):
url_name = None
menu_title = ''
def get_menu_queryset(self... |
# Generated by Django 3.1.4 on 2021-02-05 14:57
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('posts', '0001_initial'),
]
operations = [
migrations.RenameField(
model_name='post',
... |
# -*- coding: utf-8 -*-
# generated by wxGlade 0.6.3 on Tue May 26 09:15:05 2009
import wx, __builtin__
# begin wxGlade: dependencies
# end wxGlade
# begin wxGlade: extracode
# end wxGlade
class AboutDialog(wx.Dialog):
def __init__(self, *args, **kwds):
# begin wxGlade: AboutDialog.__init__
kwd... |
from os.path import dirname, join
from pathlib import Path
from tokenizers import ByteLevelBPETokenizer
from tokenizers.processors import BertProcessing
model_name = 'dabert'
file_dir = dirname(__file__)
data_folder = join(file_dir, 'data')
data_paths = [str(x) for x in Path(data_folder).glob("**/*.txt")]
output... |
from argparse import ArgumentParser, ArgumentTypeError
from locale import getdefaultlocale
from multiprocessing import Pool
from contextlib import redirect_stdout
from io import StringIO
from zdict import constants, utils, easter_eggs
from zdict.api import dump
from zdict.completer import DictCompleter
from zdict.load... |
import ROOT
from ROOT import TFile, TTree
from ROOT import TCanvas, TGraph
from ROOT import gROOT
import numpy as np
import matplotlib.colors as colors
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
import matplotlib.colorbar as cbar
from scipy.optimize i... |
from typing import List
import functools
def jump(nums: List[int]) -> int:
'''贪心算法，每次找当前能跳到位置中能跳最远的，作为下一个落脚点，当到达边界时，更新边界为最远落脚点，并且steps+1'''
maxPos, end, step = 0, 0, 0
for i in range(len(nums)-1):
maxPos = max(maxPos, i+nums[i]) # 更新最大值
if i == end: # 该跳了
end = maxPos
... |
import hashlib
import hmac
import json
import requests
from flask import jsonify
import time
with open("slack_config.json", "r") as f:
data = f.read()
config = json.loads(data)
#VERIFY SLACK WEBHOOK
def verify_signature(request):
timestamp = request.headers.get("X-Slack-Request-Timestamp", "")
signature... |
from sdk.color_print import c_print
from tqdm import tqdm
def update_login_ips(session, ips, dst_ips, logger):
updated = 0
if ips:
logger.info(f'Updating Login IPs for tenant: \'{session.tenant}\'')
for ip in tqdm(ips, desc='Updating Login IPs', leave=False):
name = ip.get('name')
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
from logging.handlers import RotatingFileHandler
# création de l'objet logger qui va nous servir à écrire dans les logs
logger = logging.getLogger()
# on met le niveau du logger à DEBUG, comme ça il écrit tout
logger.setLevel(logging.DEBUG)
# création d'u... |
from shorty.common.exceptions.shorty_exception import ShortyException
HTTP_STATUS = 422
class ValidationException(ShortyException):
def __init__(self, code: str, detail: str):
super().__init__(HTTP_STATUS, code, detail)
|
import numpy as np
from math import pi
import math
class SwingPendulum(object):
min_pos = -pi
max_pos = pi
umax = 2.0
mass = 1.0
length = 1.0
G = 9.8
timestep = 0.01
required_up_time = 10.0
up_range = pi/4.0
max_speed = (pi/16.0)/timestep
pos_start = pi/2.... |
import time
def find(start, end):
if start > end:
countdownfrom(start, end)
elif end > start:
countupfrom(start, end)
def countdownfrom(start, end):
while start >= end:
print start
start -= 1
def countupfrom(start, end):
while start <= end:
print start
... |
# import the necessary packages
from imutils.video import VideoStream
from imutils.video import FPS
import face_recognition
import imutils
import pickle
import time
import cv2
import pandas as pd
import paho.mqtt.client as mqtt
def messageFunction (client, userdata, message):
topic = str(message.topic)
messa... |
from django.core import serializers
from django.shortcuts import render, redirect
from django.http import HttpResponse, JsonResponse
from django.views.generic import View, CreateView, UpdateView, DeleteView
from django.urls import reverse, reverse_lazy
from ..models import Driver
from ..form import DriverForm
from djan... |
#!/usr/bin/env python
#
# Copyright (c) 2015 - 2021, Intel Corporation
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must retain the above copyright
# notice, thi... |
# Ported from a Java benchmark whose history is :
# This is adapted from a benchmark written by John Ellis and Pete Kovac
# of Post Communications.
# It was modified by Hans Boehm of Silicon Graphics.
#
# This is no substitute for real applications. No actual application
# is likely to behave in exactl... |
import re
import numpy as np
from scipy.spatial import distance
f = open('../sentenceCosinusDistance/sentences.txt', 'r')
def split_low(line):
return re.split('[^a-z]', line.lower())
not_empty_words = list(
filter(lambda word: word,
[word for sentence in f.readlines() for word in split_low(sente... |
import pytest
import cogctl.cli.bundle.enable as bundle # TODO: Eww, this import
pytestmark = pytest.mark.usefixtures("mocks")
# TODO: What happens when you try to enable a bundle that's already enabled?
def test_enable_no_version_enables_latest(cogctl):
result = cogctl(bundle.enable, ["disabled_bundle"])
... |
from PIL import Image, ImageFile
import torchvision.transforms as transforms
import torch.utils.data as data
import os
Image.MAX_IMAGE_PIXELS = 933120000
ImageFile.LOAD_TRUNCATED_IMAGES = True
def is_img_file(filename):
return any(filename.lower().endswith(extension) for extension in ('jpg', 'png', 'jpeg'))
d... |
def get_content_info(file):
num_lines = file.count('\n') + 1
num_else = file.count('else')
num_char = len(file.replace('\n', ''))
return {'lines': num_lines, 'else': num_else, 'characters': num_char}
def print_file_info(info):
for key, value in info.items():
print(f'number of {key} in file... |
import sys
DEBUG=True if len(sys.argv) > 1 else False
def debug(*texts):
if DEBUG:
print("[DEBUG]", *texts, flush=True)
def solve(senators):
sol = ""
while True:
r = sum(senators.values())
if not r:
break
k = max(senators, key = senators.get)
sol += ... |
import numpy as np
from pylab import ylim, title, ylabel, xlabel
import matplotlib.pyplot as plt
from kalman import SingleStateKalmanFilter
import pandas as pd
from collections import defaultdict
import seaborn as sns
# ------------------------------------------- Filtering: PARAMETERS : (START) -----------------------... |
# Copyright 2014 MongoDB, Inc.
#
# 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... |
# Author: ambiguoustexture
# Date: 2020-03-11
import pickle
import numpy as np
from scipy import io
from similarity_cosine import sim_cos
file_context_matrix_X_PC = './context_matrix_X_PC'
file_t_index_dict = './t_index_dict'
with open(file_t_index_dict, 'rb') as t_index_dict:
t_index_dict = pickle.load... |
'''
1. Given an NxN matrix, write a function that would rotate it
by 90 degrees clock-wise or counter clockwise.
'''
# Rotate n clockwise or counter-clockwise
# If d == 0, clockwise
# If d == 1, counter-clockwise
# Else no change
def rotate(n, d):
m = n
if d == 0:
m = zip(*m[::-1])
elif d == 1:
... |
import argparse
import os
import cv2
import json
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
from tf_inferencer import TFInferencer
# The following variables are used to configure the compression analysis
COMPRESSION_LEVELS = [100, 90, 80, 70, 60, 50, 40, 30, 20, 10]
ENCODING = "JPG" ... |
# coding=utf-8
# 测试command属性绑定事件，测试lambda表达式帮助传参
from tkinter import *
root = Tk()
root.geometry("270x50")
def mouseTest1():
print("command方式，简单情况：不涉及获取event对象，可以使用")
def mouseTest2(a,b):
print("a={0},b={1}".format(a, b))
Button(root, text="测试command1", command=mouseTest1).pack(side="left")
Button(root... |
# -*- coding: utf-8 -*-
#
import numpy
import fastfunc
import asciiplotlib as apl
def print_stats(mesh, extra_cols=None):
extra_cols = [] if extra_cols is None else extra_cols
angles = mesh.angles / numpy.pi * 180
angles_hist, angles_bin_edges = numpy.histogram(
angles, bins=numpy.linspace(0.0, ... |
import math
'''
'''
s = input('请输入一个数 ') # 这是一个输入语句
s = float(s)
if s > 0:
s = math.sqrt(s)
print(s)
else:
print('没有平方根')
# !/usr/bin/python3
a = 21
b = 10
c = 0
c = a + b
print("1 - c 的值为：", c)
c = a - b
print("2 - c 的值为：", c)
c = a * b
print("3 - c 的值为：", c)
c = a / b
print("4 - c 的值为：", c)
c =... |
pesos = float(input("Ingrese un monto: "))
valor_dolar =3875
dolares = round(pesos / valor_dolar)
dolares = str(dolares)
print("Tienes "+ " USD$ "+ dolares)
|
def genWaveHeader(data) :
length = len(data);
header = "RIFF";
size = 4 + 24 + 8 + length;
ch = chr((size & 0x000000FF) >> 0);
header += ch;
ch = chr((size & 0x0000FF00) >> 8);
header += ch;
ch = chr((size & 0x00FF0000) >> 16);
header += ch;
ch = chr((size & 0xFF00000... |
# this is the program for socket communication
# it can be used both for server and client
# python socket_communication.py -server for server
# python socket_communication.py -client for client
import wx
import socket
import time
import sys
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
port = sys.argv[... |
from builtins import range
import numpy as np
# from skimage.io import imread
import tensorflow as tf
import sys
import cv2
def main():
# Read in image with the shape (rows, cols, channels)
im = cv2.imread('./img/face.png')
im = np.array(im) / 255.
invSpatialStdev = float(1. / 5.)
invColorStdev ... |
import torch
import argparse
import docker
import os
import sys
import logging
import torchvision.models as models
from cloudpickle import CloudPickler
import tempfile
import tarfile
trained_models = ['resnet18', 'densenet201']
logger = logging.getLogger(__name__)
class ClipperException(Exception):
"""A generic ... |
"""
Stripping Filtering file for B->D*munuX where D0->K3pi
@author Philip Hunt
@date 2013-07-26
"""
from Gaudi.Configuration import *
MessageSvc().Format = "% F%60W%S%7W%R%T %0W%M"
#
# Build the streams and stripping object
#
from StrippingConf.Configuration import StrippingConf, StrippingStream
from StrippingSetti... |
##Problem Name : Leetcode Week 2 problem
## Problem Name: Valid Perfect Square
##Time 32 ms
class Solution:
def isPerfectSquare(self, num: int) -> bool:
i = 1
the_sum = 0
while the_sum < num:
the_sum += i
if the_sum == num:
return True
... |
import pandas as pd
import numpy as np
import json
import os
import re
import copy
import openpyxl as xl
import xlsxwriter
from paper_functions import integrated_paper_file_generator
from Patent_Functions import integrated_patent_file_generator
from typing import List, Dict, Optional, Union, Tuple
from pandas.api.types... |
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