text stringlengths 8 6.05M |
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import unittest
from PIL import Image
import function.check_picture as f_checkPicture
import function.cut as f_cut
import function.eight as f_eight
x = {}
x['0.png'] = '0.png'
x['1.png'] = '1.png'
x['2.png'] = '2.png'
x['3.png'] = '3.png'
x['4.png'] = '4.png'
x['5.png'] = '5.png'
x['00.png'] = '00.png'
#此处代码与上面大同小异，... |
from datasets.pku import load_data
import argparse
from models.BaselineModel import MyUNet
from models.AttentionModel import AttentionUnet
import torch
from utils.trainer import *
from torch import optim
from torch.optim import lr_scheduler
import pandas as pd
def TrainModel(args):
print("Training model")
dat... |
from PIL import Image, ImageFilter
img = Image.open('./Pokedex/pikachu.jpg')
filtered_img = img.convert('L')
filtered_img.save("grey.png", 'png')
box = (100,100,400,400)
region = filtered_img
filtered_img.resize((300,300)).show()
|
# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
import datetime
import math
import pathlib
import time
from typing import *
import matplotlib
import matplotlib.pyplot as plt
import mplfinance as mpf
import pandas as pd
import plotext.plot as plx
from finta import TA
import log
fr... |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# %matplotlib inline
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix,r2_score, mean_squared_error
x= np.random.randn(10000)
# y = np.power(np.sin(x)... |
#!/usr/bin/env python
## This script visualizes tha robots position in a map
## It reads values published by the logger
#import rospy
#from std_msgs.msg import String
import matplotlib.pyplot as plt
data = [
[0,0,0,0,0,1,1,1,1,0],
[0,0,0,0,0,1,0,0,1,0],
[0,0,1,0,1,0,1,1,0,0],
[0,0,1,0,0,1,1,0,1,0],
... |
# Generated by Django 2.2.10 on 2021-04-05 13:03
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('polls', '0002_auto_20210405_1728'),
]
operation... |
# Generated by Django 2.2.1 on 2019-05-17 19:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('moods', '0002_mood_created'),
]
operations = [
migrations.AddField(
model_name='mood',
name='streak',
fi... |
# Copyright (c) Amber Brown, 2015
# See LICENSE for details.
import os
try:
import configparser
except ImportError:
import ConfigParser as configparser
def load_config(from_dir):
config = configparser.ConfigParser(
{
'package_dir': '.',
'filename': 'NEWS.rst'
}
... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# @author: caramel
def homework2():
dictionary = {'abandon':'to give up to the control or influence of another person or agent',
'abase':'to lower in rank, office, prestige, or esteem',
'abash':'to destroy the self-possession or self-confidence of'
}
who =... |
import logging
from PyQt5 import QtCore, QtWidgets, QtGui
from switch_case import switch
import os
import time
import threading
__author__ = 'Галлям'
logger = logging.getLogger(__name__)
class FileItem:
def __init__(self, file_path: str, is_dir: bool,
parent=None, size: int=0,
... |
#! /usr/bin/env python3
import maya.cmds as cmds
cmds.select(d=True )
cmds.joint(p=(38.994835, 108.019676, 230.40213) )
cmds.select('joint1', r=True )
cmds.joint(p=(39.094835, 108.019676, 230.40213) )
cmds.select('joint2', r=True )
cmds.joint(p=(46.165903, 100.94860800000001, 230.40213) )
cmds.select('joint3', r=Tr... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import handin6
test1 = handin6.fasta_to_list("test1.fasta")
test2 = handin6.fasta_to_list("test2.fasta")
test1.sort()
test2.sort()
print test1
print test2
for item1 in test1:
if not handin6.binary_search(test2, item1):
print item1 |
import unittest,time
from HTMLTestRunner import HTMLTestRunner
test_dir = "E:/python/test_web/test_case"
discover = unittest.defaultTestLoader.discover(test_dir,pattern="test_*.py")
if __name__ == "__main__":
now = time.strftime("%Y-%m-%d %H-%M-%S")
filename = "E:/python/test_web/report" + "/" + now + " res... |
#from TaskSet import *
class EDFVD:
def __init__(self, ts):
self.ts = ts
def test(self):
res = self.ts.getUtilisationOfLevelAtLevel(1,1)
if self.ts.getUtilisationOfLevelAtLevel(2,2) < 1:
res += min(self.ts.getUtilisationOfLevelAtLevel(2,2), self.ts.getUtilisationOfLevelAtLe... |
from game.items import *
from game.models import *
from game.player import Player
from game.gamemanager import *
p = Player()
p.inventory.add_item(IronHatchet)
p.inventory.add_item(TinderBox)
p.equip_item(IronHatchet)
chop_tree(CommonTree(), p)
chop_tree(CommonTree(), p)
chop_tree(CommonTree(), p)
burn_logs(NormalLo... |
from django.db import models
from products.models import SizeChart
from django.contrib.auth.models import User
class Order(models.Model):
token = models.CharField(max_length=250, blank=True)
user = models.ForeignKey(User, blank=True, null=True, on_delete=models.CASCADE)
total = models.DecimalField(max_digi... |
#!/usr/bin/python
import sys
import random
from random import randint
from random import uniform
import time
objects = ["People","Platform","RR","GG","YY","RG","RY","GY","SpeedSign","SpeedRegulator"]
numObjects = 9
epochTime = 0
lastValue = True
while lastValue == True:
randNum = randint(0,numObjects)
if int... |
import numpy as np
import time
start = time.time()
x_train = np.load('./dacon3/data/x_train_merge_1.npy')
for i in range(1,10):
a = np.load('./dacon3/data/x_train_merge_{}.npy'.format(i+1))
print(a.shape)
x_train = np.append(x_train, a, axis=0)
print(x_train.shape)
x_train = x_train.reshape(50000, 256, 2... |
'''
'''
SLACK_EVENT = 'event_callback'
SLACK_ACTION = 'action_callback'
SLACK_COMMAND = 'command_callback'
handlers = { SLACK_EVENT: lambda c,i: logging.info(f'E {i}'),
SLACK_ACTION: lambda c,i: logging.info(f'A {i}'),
SLACK_COMMAND: lambda c,i: logging.info(f'C {i}'),}
|
# Copyright 2019 The ASReview Authors. 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.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... |
from function_interface import *
# Load Data
print("Load Data")
allTaskByID = load_data_from_csv('../data/transcribe-2017-07-08.CSV')
print("Get group with ID 2048")
group = allTaskByID[2048][0]
print("Get good transcriptions")
good_transcriptions = get_good_transcriptions(group)
print("Align group")
aligned_graph ... |
import arcpy
import os
pdf_path = input('Where would you like to save the pdf documents? ' )or 'W:\\Research&Development\\Data-Share\\analysis-fin\\TitleVI\\TitleVI\\MR\\'
aprx_loc= input('Where is the arcgis pro projecct? ') or r'W:\Research&Development\Data-Share\analysis-dev\TitleVI\MetroReimagined_190917\MR_Ti... |
import re
import time
# import os
# print(os.path.abspath(os.path.dirname(__file__)))
from Scripts.fastapp.common.regex_config import RegexConfigs
from Scripts.fastapp.common.consts import REGEX_FOLDER_PATH
class regexDictionaryManager(RegexConfigs):
def __init__(self):
super().__init__()
# new r... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import nysol.util.margs as margs
import nysol.take as nt
args=margs.Margs(sys.argv,"ei=,ef=,ni=,nf=,-all,o=,l=,u=,log=,-rp","ei=,ef=")
nt.mclique(**(args.kvmap())).run(msg="on")
|
"""
Code de téléchargement de fichier grib de données de prévision provenant d'ECCC
"""
import requests
import shutil
import os.path
import datetime
import pathlib
# example : http://dd.meteo.gc.ca/model_gem_regional/coupled/gulf_st-lawrence/grib2/00/001/CMC_coupled-rdps-stlawrence-ocean_latlon0.02x0.03_2019010300_P... |
class Challenger:
def __init__(self, name, money):
self.name = name
self.money = money
def getName(self):
return self.name
def __str__(self):
return self.name
def getBalance(self):
return self.money
def deductMoney(self, amount):
self.money -= amo... |
import attr
import matplotlib.pyplot as plt
import numpy as np
from simulation.module import Module, ModuleState
from simulation.state import State
MAX_ARRAY_LENGTH = 1000
@attr.s(kw_only=True)
class PlotState(ModuleState):
step_num: int = attr.ib(default=0)
fungal_burdens: np.ndarray = attr.ib(factory=lamb... |
import torch.nn as nn
from torch import functional
class ValueHead(nn.Module):
def __init__(self, num_channels, input_size):
super(ValueHead, self).__init__()
NUM_INTERMIDATE_CHANNELS = 1
self.conv = nn.Conv2d(num_channels, NUM_INTERMIDATE_CHANNELS, kernel_size=1)
self.bn = nn.Ba... |
# coding: utf-8
import numpy as np
from random import shuffle
from gensim.models import KeyedVectors
from gensim.models import Word2Vec
class Corpus(object):
def __init__(self, min_length=0, tokenizer=' ', preprocessor=None):
self.size = 0
self.min_length = min_length
self.tokenizer = token... |
class Solution:
def characterReplacement(self, s, k):
"""
:type s: str
:type k: int
:rtype: int
"""
if len(s) == 0:
return 0
elif len(s) < k:
return len(s)
store = {}
for j in range(len(s)):
store[s[j]] = st... |
from dataclasses import dataclass
import numpy as np
import pandas as pd
@dataclass(frozen=True)
class Candidate:
matrix: np.array
df: pd.DataFrame
# info-theoretic values
hxy: float
hyx: float
ami: float
# result of svd
s1p: float # proportion of variance explained by s1
|
from django.conf.urls import patterns, url
from datasf import views
urlpatterns = patterns('',
url(r'^home/$', views.home , name='home'),
url(r'^get_datasf_movies/$', views.get_datasf_movies , name='get_datasf_movies'),
)
|
"""This program will figuring out the other luggage weight by given input"""
def weightadjusts():
"""The function will adjust the average weight first, results in calculatable number"""
average_kg = float(input()) * 2
luggage_kg = float(input())
print(average_kg - luggage_kg)
weightadjusts()
|
import mxnet as mx
from mxnet.gluon.data import Dataset,DataLoader
from mxnet.image import imread
from PIL import Image
import os
import numpy as np
import cv2
import math
from mxnet import nd
import mxnet.gluon.data.vision.transforms as T
default_transform = T.Compose(T.ToTensor(),T.Normalize(mean=(),std=(... |
from .api_model import APIModel
class Rule(APIModel):
name: str
score: int
notes: list[str] | None
|
from whitelisting.git import Git
try:
from unittest.mock import patch
except ImportError:
from mock import patch
@patch('subprocess.call')
def test_git_called_with_correct_values(mock_call):
mock_call.return_value = 999
assert Git("test 1 2 3") == 999
mock_call.assert_called_with(['git', 'test', ... |
exp = {'2007 - 2009': 'Entel', '2009 - 2014': 'GMD', '2014 - 2020': 'Toyota'}
alumnos = {'10210902': 'Jose', '102109005': 'Marcos'}
print(alumnos['102109005'])
|
# Generated by Django 2.2.1 on 2019-06-07 06:46
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... |
from tkinter import *
import FC4, FC5, BC, LIC, CA, TR, decimal
class FC4Menu:
def __init__(self,master):
frame = Frame(master)
self.question = Label(frame, text="What is the number?")
self.entry = Entry(frame, justify=CENTER)
self.entry.bind("<Return>",self.calc)
self.butto... |
from django.contrib.auth.forms import UserChangeForm, UserCreationForm
from .models import User
class CustomUserRegisterForm(UserCreationForm):
class Meta:
model = User
fields = ['username', 'password1', 'password2']
def save(self, commit=True):
user = super(CustomUserRegisterForm, se... |
import SimpleITK as sitk
import numpy as np
import os
from .CoordsConverter import CoordsConverter
from .Scan import Scan
from .PatientInfoProvider import PatientInfoProvider
class ScansReader(object):
def __init__(self, dir: str, patient_info_provider: PatientInfoProvider):
self.dir = dir
self.pa... |
from normalize import normalize
import matplotlib.pyplot as plt
from open_csv import open_csv
from kalman import Kalman
from locals import geodetic_to_enu, enu_to_geodetic
import numpy as np
from random import uniform
origin_lat, origin_lon = 54.386279, 18.590767
park = open_csv("./gps_data_park.csv")
init_x, init_y... |
import json
import pathlib
import uuid
from collections import OrderedDict
from sqlalchemy import Column as SQLColumn, String, Integer, ForeignKey, Table
from sqlalchemy import create_engine, func
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, scoped_session, sessionmak... |
from django.urls import path
from . import views
urlpatterns = [
# path('', views.index, name='index'),
path('face/', views.face, name='face'),
path('face/upload', views.detect, name='detect'),
path('', views.upload, name='upload'),
path('display/', views.display, name='display'),
]
|
import numpy as np
import matplotlib.pyplot as plt
import torch
from torch.autograd import Variable
w_target = np.array([0.5, 3, 2.4])
b_target = np.array([0.9])
f = 'y = {:.2f} + {:.2f}*X + {:.2f}*X^2 +{:.2f}*X^3'.format(
b_target[0], w_target[0], w_target[1], w_target[2])
print(f)
x_sample = np.arange(-3, 3.1, ... |
import sphere_module
print("Enter the radius :")
radius= int(input())
print ("Area is :" + str(sphere_module.area(radius))) |
p = {'apple':4,'banana':9,'orange':20,'pineapple':15}
for i,j in p.items(): #items are pairs
print(i,j)
print(p['apple'],p['orange'])
|
"""add comment in script explaining what its for
This is where the scripts to preprocess the data go
save files in data/targets/
"""
import itertools
import json
from pathlib import Path
from zipfile import ZipFile
import numpy as np
import pandas as pd
import requests
from autumn.models.covid_19.constants import COVI... |
k = float(input("Input degrees k"))
c = k - 273.15
print("Degrees celsius", round( c, 2)) |
import pygame
class Camera():
def __init__(self, width, height, x = 0, y = 0):
self.rect = pygame.Rect(x, y, width, height)
def update(self, player):
scale_x = 32 * 5
scale_y_up = 32 * 5
scale_y_down = 32 * 2
# Player moving right?
if (self.rect.right... |
"""
https://github.com/ageron/handson-ml/blob/master/
"""
import matplotlib.pyplot as plt
import numpy as np
def plot_svc_decision_boundary(svm_clf, xmin, xmax):
w = svm_clf.coef_[0]
b = svm_clf.intercept_[0]
# At the decision boundary, w0*x0 + w1*x1 + b = 0
# => x1 = -w0/w1 * x0 - b/w1
x0 = n... |
#!/usr/bin/python3
def remove_char_at(str, n):
""" Copy a string and remove a character at n """
return str[:n] + str[(len(str) + n) % len(str) + 1:]
|
# Generated by Django 2.2 on 2019-04-17 07:54
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('onlclass', '0029_auto_20190417_1005'),
]
operations = [
migrations.CreateModel(
... |
"""
Global settings for the entire project.
"""
# Training parameters
EPOCHS = 100
LEARNING_RATE = 1e-5
SHUFFLE = True
STATE_SAVE_PATH = 'states/semantic_similarity.pt'
# Testing parameters
THRESHOLD = 0.95
OUTPUT_SAVE_PATH = 'analysis/output.csv'
# Glove file path
GLOVE_PATH = 'glove/glove.6B.50d.txt'
|
# Copyright (c) 2011, James Hanlon, All rights reserved
# This software is freely distributable under a derivative of the
# University of Illinois/NCSA Open Source License posted in
# LICENSE.txt and at <http://github.xcore.com/>
import math
import sys
import ast
from util import debug
from walker import NodeWalker
f... |
#!/usr/bin/env python
import urllib2
import optparse
try:
import json
except ImportError:
import simplejson as json
UNKNOWN = -1
OK = 0
WARNING = 1
CRITICAL = 2
API_URL = 'https://www.googleapis.com/pagespeedonline/v1/runPagespeed?url=%s&key=%s'
API_KEY = ''
HOSTNAME = ''
WARNING_SCORE = 0
CRITICAL_SCORE = ... |
import sys
import random
import math
def pi(n):
count = 0
for i in range(n):
x = random.random()
y = random.random()
if x * x + y * y < 1:
count += 1
return count * 4 / n
print("n:", sys.argv[1])
print("円周率:", pi(int(sys.argv[1])))
print("誤差率:", abs(pi(int(sys.argv[1])) - math.pi) / math.pi ... |
import gym
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import random
import datetime
import pandas as pd
import os
# sigmoid -
def sigmoid(x):
return 1 / (1 + np.exp(-x))
class NeuralNetwork:
# init - Creates 3 weights made from random values betwee... |
# Hardcoded plotting for appendix,
# which is basically same as in main paper
# but over all environments etc.
#
import os
from glob import glob
import itertools
import re
import numpy as np
import matplotlib
from matplotlib import pyplot
from plot_paper import interpolate_and_average, color_linestyle_cycle
# Stacko... |
import pyglet
window = pyglet.window.Window()
def zpracuj_text(text):
print(text)
def tik(t):
print(t)
#spousti se 30x ya vterinu,
pyglet.clock.schedule_interval(tik, 1/30)
window.push_handlers(on_text=zpracuj_text)
pyglet.app.run()
print('Hotovo!') |
#Design a HashSet without using any built-in hash table libraries.
#To be specific, your design should include these functions:
#add(value): Insert a value into the HashSet.
#contains(value) : Return whether the value exists in the HashSet or not.
#remove(value): Remove a value in the HashSet. If the value does not ... |
import cv2
import numpy as np
import matplotlib.pyplot as plt
def go(path):
img = cv2.imread(path)
r = 500.0/img.shape[1]
dim = (500, int(img.shape[0]*r))
resized = cv2.resize(img, dim, interpolation=cv2.INTER_AREA)
gray = cv2.cvtColor(resized,cv2.COLOR_BGR2GRAY)
corner = cv2.goodFeaturesToTrac... |
#!/usr/bin/env python
import sys
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotlib as matpl
matpl.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.cm
from mpl_toolkits.basemap import Basemap
from matplotlib.patches import Polygon
f... |
#!/usr/bin/env python
import threading as th
import logging, time
import multiprocessing
from kafka import KafkaConsumer, KafkaProducer
class Producer(th.Thread): # Derives from Threading
def __init__(self):
th.Thread.__init__(self)
self.stop_event = th.Event () # Create event
def stop (self)... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
empty.py
Purpose:
...
Version:
1 First start
Date:
2017/**/**
@author: pms590
"""
###########################################################
### Imports
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# import scipy.optimiz... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import codecs
import pickle
import numpy as np
from keras.models import load_model
from bert4keras.layers import custom_objects
from bert4keras.utils import Tokenizer
from ..d... |
import time
print("a")
time.sleep(2)
print("b") |
#!/usr/bin/env python
#FUNCTIONS NECESSARY BECAUSE OF DIFFERERENCES IN DISTANCE LENGTH
#function to return the distance from a line
def grab_distance(line):
end_str = ""
for ch in line:
if ch != ',':
end_str += ch
elif ch == ',':
return end_str
#function to return the S... |
import math
import pylab as pl
class harmonic:
def __init__(self, w_0 = 0, theta_01=0.2,theta_02=0.2+0.001, time_of_duration = 400, time_step = 0.04,g=9.8,length=9.8,q=1/2,F=1.2,D=2/3):
self.n_uranium_A1 = [w_0]
self.n_uranium_B1= [theta_01]
self.n_uranium_A2 = [w_0]
self.n_uranium_B... |
import subprocess
import io
import random
def test(cmds, ans):
inData = "{n}\n{cmds}\n".format(n=len(cmds), cmds='\n'.join(cmds))
result = subprocess.run("G.exe", input=inData.encode(), stdout=subprocess.PIPE)
return result.returncode == 0 and list(map(int, result.stdout.decode().split('\r\n')[:-1])) == a... |
#!/usr/bin/python3
from DFS import DFS
def isAlreadyVisited(n, cc):
for c in cc:
if n in c:
return True
else:
return False
def connectedComponent(g):
nodes = g.keys()
cc = []
for n in nodes:
if not isAlreadyVisited(n, cc):
c = DFS(n, g)
cc.append(c)
return cc
def testConnectedComponent():
... |
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import os
def rmsd_box(df):
name = []
for i, row in df.iterrows():
if str(row.rescor_func) == "nan":
name.append(row.dock_func)
else:
name.append(f"{row.dock_func}_... |
# Generated by Django 2.0.7 on 2019-01-01 16:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('basedata', '0012_auto_20180829_0506'),
]
operations = [
migrations.AddField(
model_name='device_change',
name='chang... |
import os
import csv
import pickle
from shutil import copyfile
import operator
import sys
filepaths = ['../../annotations_landmarks/annotation_clean_train.txt','../../annotations_landmarks/annotation_clean_val.txt']
datapaths = ['../../annotations_landmarks_clean_train_crop/','../../annotations_landmarks_clean_validat... |
# -*- coding: utf-8 -*-
{
'name' : 'Econube Double Currency',
'version' : '1.1',
'category': 'Purchase Management',
'depends' : ['base', 'purchase'],
'author' : 'Econube | José Pinto, Pablo Cabezas',
'description': """
Double currency for purchases.
===================================
This mo... |
import pygame
class AbstractBullet:
def __init__(self, x, y):
self.speed = 8 # px per frame
self.radius = 2 # px
self.damage = 8
self.cords = {
'x': x,
'y': y
}
self.direction = {
'x_cof': 0,
'y_cof': -... |
#
# House Price Prediction
#
# This is a simple prediction of house prices based on house size
# Implemented in TensorFlow
#
import tensorflow as tf
import numpy as np
import math
from matplotlib import pyplot as plt
import matplotlib.animation as animation # import animation support
tf.compat.v1.d... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
__module__的官方定义: `The name of the module the function was defined in, or
None if unavailable. <https://docs.python.org/3.3/reference/datamodel.html#the-standard-type-hierarchy>`_。
中文解释: 类/函数 定义所在的模块。
只有 ``function``, ``class`` 对象有这个属性。被实例化的对象是没有这个属性的。
"""
import dat... |
print ("Questão 1")
peso = float(input("Digite seu peso:"))
altura = float(input("Digite sua altura:"))
imc = (peso/altura**2)
if imc < 18.5:
print("Você está abaixo do peso!")
elif imc >= 18.5 and imc < 25:
print("Você está com o peso normal!")
elif imc > 25:
print("Você está acima do peso!")
e... |
class Binning:
def __init__(self, c, r_ip1, N, N_bins, lags, store_frame_rate=1, uniform_bins = True, min_count = 0, verbose = True):
#number of conditional variables
N_c = c.shape[1]
self.N_c = N_c
self.N = N
self.r_ip1 = r_ip1
self.c = c
... |
import face_recognition
import picamera
import numpy as np
import os
import time
from datetime import datetime
from datetime import date
from servo_control import Servo
"""
Created by Ethan Lyon for ELEC574. Rice University Spring 2020
This script uses the RPi's camera and the facial recognition library to
recognize t... |
list = []
amount = int(input())
for i in range (1,amount+1):
num = int(input())
list.append(num)
print(min(list))
print(max(list)) |
import boto3
import base64
from botocore.exceptions import ClientError
import json
import pymysql as db
import logging
import csv
from io import StringIO
import os
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
logging.basicConfig(level=logging.DEBUG)
# logger.debug(f"Event: {event}")
def insert_into(i... |
import cronjobs
import time
from django.db import transaction
from yoolotto.settings import AFTER_LOGON_OX, email, password, domain, realm, consumer_key, consumer_secret
import urllib2
import json
from yoolotto.second_chance.models import AdInventory as InventoryModel, Advertisor as AdvertisorModel
@cronjobs.register
... |
# -*- coding: utf-8 -*-
'''
Created on May 01 2020
@author: kanehekili
'''
import sys
import re
import os
from PyQt5 import QtGui,QtWidgets,QtCore
from PyQt5.QtWidgets import QApplication, QErrorMessage
from PyQt5.Qt import QMainWindow, QSizePolicy, QFont
class MediaInfoView(QMainWindow):
def __init__(self,f... |
import hashlib
from typing import Optional
from flask import Request
from flask import Response
from pypi_org.infrastructure.num_convert import try_int
auth_cookie_name = 'pypi_demo_user'
def set_auth(response: Response, user_id: int):
hash_val = __hash_text(str(user_id))
val = "{}:{}".format(user_id, hash... |
from flask import Blueprint, jsonify, request
from flask import abort
videos_bp = Blueprint('videos', __name__)
@videos_bp.route('/videos/', methods=['GET', 'PUT'])
def lista_videos():
from main import mongo
from models.video import Video
if request.method == 'PUT':
data = request.get_json()
... |
import re
def prepare_dictionary(path):
with open(path) as file:
dictionary = {}
for line in file.readlines():
words = re.split('[\s,]+', line)
if 'NOUN' in words and 'nomn' in words and 'sing' in words:
word = words[0].lower()
word_set = set... |
t = int(input())
for _ in range(t):
a,b = input().split()
l = min(len(a),len(b))
m = max(len(a),len(b))
for i in range(l):
print(a[i],b[i],sep='',end='')
if m==len(a):
print(a[l:],sep='',end='')
else:
print(b[l:],sep='',end='')
print() |
"""
#------------------------------------------------------------------------------
# Properly scaled experimental values for a PoleZero Shaper
#
# This script contains generalized phase and amplitude shifting values for an undamped second order system
#
# Created: 6/20/17 - Daniel Newman -- dmn3669@louisiana.edu
#
# ... |
#!/usr/bin/python
#coding:utf-8
lalphalist = []
halphalist = []
string=''
for i in range(26):
string += chr(i+97)
lalphalist = list(string)
halphalist = list(string.upper())
# print lalphalist
# print string
# print halphalist
def cesarencode(text,offset):
'''
凯撒密码：
参数：
text：明文
... |
#!/usr/bin/python3
str = "Holberton School"
print("\n".join((str * 3, str[:9])))
|
def genPrimes():
primes = []
x = 2
while True:
candidate = True
for p in primes:
if x % p == 0:
candidate = False
prime = True
if True == candidate:
for i in range(2, x/2):
if x % i == 0:
prime = Fals... |
from numpy.core.fromnumeric import shape
from silence_tensorflow import silence_tensorflow
silence_tensorflow()
import tensorflow as tf
import pathlib
import numpy as np
import cv2
def get_input_to_network(img, input_dim=320):
img = cv2.resize(img, (input_dim, input_dim), interpolation = cv2.INTER_CUBIC)
img... |
#!/usr/bin/env python
"""
_PYDCCPImpl_
Implementation of StageOutImpl interface for DCCP With PyDCAP bindings
available
"""
import os
from WMCore.Storage.Registry import registerStageOutImpl
from WMCore.Storage.StageOutImpl import StageOutImpl
from WMCore.Storage.StageOutError import StageOutError
_CheckExitCodeOpti... |
"""
1א
"""
import numpy as np
from numpy import random as rn
import matplotlib.pyplot as plt
S0=1
k=S0
r=0.02
T=1
N=100
h=T/N
M=10000
dw=np.sqrt(h)*rn.randn(M,N)
s=np.linspace(0,5,50)
B=0.8*S0
y=[]
z=[]
Y=[]
for x in s:
S=S0*np.ones((M,N+1))
for i in range(0,N):
S[:,i+1]=S[:,i]*... |
import argparse
import itertools
from operator import itemgetter
from typing import Dict, List, Tuple
import networkx as nx
import numpy as np
def one_of_k_encoding(x: int, allowable_set: List) -> List:
if x not in allowable_set:
raise Exception("input {0} not in allowable set{1}:".format(x, allowable_se... |
import re
import numpy as np
import scipy.spatial
inFile = open('neur/1/sentences.txt')
outFile = open('neur/1/outFile.txt', 'w')
spisok = []
myDict = {}
for line in inFile:
stroka = re.split('[^a-z]', line.lower())
while '' in stroka:
stroka.remove('')
spisok.append(stroka)
index = 0
for i in spis... |
# Generated by Django 3.1.5 on 2021-01-28 08:29
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('klubok', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='place',
name='type',
field... |
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