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import sys
import getopt
import os
import os.path
import weakref
import gc
import time
import numpy
from PyQt4.QtCore import Qt
from PyQt4.QtGui import QApplication, QCursor
from application.lib.helper_classes import HelperGUI # HelperGUI
from application.ide.widgets.observerwidget import ObserverWidget
from appli... |
import mpmath as mp
from math import pi, exp, cos
def do_integ( scal=0.5 ):
L = 10.0
c1 = L*scal
f = lambda x: exp( 1.5*cos(2.0*pi/L *(x - c1) ) )
print('mpmath = %18.10f' % mp.quad( f, [0,L] ) )
do_integ( scal=0.1 )
do_integ( scal=0.5 )
do_integ( scal=0.9 )
|
import json
files = [
"bolsavalores20191001.json",
"bolsavalores20191008.json",
"bolsavalores20191014.json",
"bolsavalores20191015.json",
"bolsavalores20191020.json",
"ibovespa20191001.json",
"ibovespa20191008.json",
"ibovespa20191014.json",
"ibovespa20191015.json",
"ibovespa201... |
"""Tests for the baseline_model functions."""
import pytest
from src.models.baseline_model.baseline_model import read_data
from src.models.baseline_model.baseline_model import create_datasets
from src.models.baseline_model.baseline_model import create_model
from src.models.baseline_model.baseline_model import train_mo... |
import pytest
from django.core.exceptions import ImproperlyConfigured
from django.http import Http404
from django.test import RequestFactory
from restdoctor.rest_framework.resources import (
get_queryset_model_map, ResourceViewSet, ResourceView,
)
from tests.test_unit.stubs import (
ModelA, ModelAViewSet, Mode... |
#!/usr/bin/python3
"""This module prints people's names"""
def say_my_name(first_name, last_name=""):
"""This function will print names
Args:
first_name (str): The person's first name
last_name (str): The person's last name
"""
if not isinstance(first_name, str):
raise TypeErr... |
from pyspark.sql import SparkSession
from pyspark.sql.functions import avg, format_number
cluster_seeds = ['cass1:9042','cass2:9043','cass3:9044']
spark_session = SparkSession \
.builder \
.appName("Year Most-Polluted City") \
.config("spark.cassandra.connection.host", ','.join(cluster_seeds)) \
.confi... |
import datetime
import calendar
import csv
import sys
def row_as_dict(data, columns):
result = {}
for row in data:
i=0
items = {}
for col in row:
#skip first column for key of dictionary
if (i > 0):
column_name = columns[i]
items[... |
import pandas as pd
def add_month_yr(x):
'''
:param x: dataframe
:type x: pd.DataFrame
:return: dataframe
'''
assert isinstance(x, pd.DataFrame)
# ID column is index for x
month_dict = {'1': 'Jan', '2': 'Feb', '3': 'Mar', '4': 'Apr',
'5': 'May', '6': 'Jun'... |
# -----------------------------------------------------------------------------
# Copyright (c) 2014--, The Qiita Development Team.
#
# Distributed under the terms of the BSD 3-clause License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... |
from bs4 import BeautifulSoup
import requests
import json
def getMatchups(date):
url = 'https://www.mlb.com/scores/{}'.format(date)
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
teams = soup(class_="sc-pbIaG fCAMpt")
for i in range(len(teams)):
teams[i] = team... |
import attr
from attr.validators import instance_of
import numpy as np
import pandas as pd
@attr.s(slots=True)
class Deinterleave:
"""
**HIGHLY EXPERIMENTAL**
This class can differentiate the data recorded in PMT1 into two
distinct channels by observing the time that has passed between
the laser ... |
# -*- coding: utf-8 -*-
import codecs
import os
import csv
#1. 读取文件
#['aa', 'aaa-bbb-sss'] => ['aa','aaa','bbb','sss']
def word_split(words):
new_list = []
for word in words:
if '-' not in word:
new_list.append(word)
else:
lst = word.split('-')
new_list.extend(lst)
return new_list
def read_file(file_... |
token = '829114388:AAGz4YoeVDx8xtRN11efRmtevg848ZOiH2g' |
import os
import cgi
import json
import six
import hashlib
import uuid
import fs.move
import fs.subfs
import fs.tempfs
import fs.path
import fs.errors
from . import config, util
DEFAULT_HASH_ALG = 'sha384'
class FileProcessor(object):
def __init__(self, presistent_fs, local_tmp_fs=False, tempdir_name=None):
... |
from unittest import TestCase
from src.d3_network.command import Command
from src.d3_network.encoder import DictionaryEncoder
from src.d3_network.network_exception import MessageNotReceivedYet
class TestDictionaryEncoder(TestCase):
def test_when_encode_then_return_byte_string(self):
message = {'command'... |
import unittest
import functools
import numpy
import cupy
from cupy import testing
from cupyx import fallback_mode
@testing.gpu
class TestFallbackMode(unittest.TestCase):
def numpy_fallback_equal(name='xp'):
"""
Decorator that checks fallback_mode results are equal to NumPy ones.
Args:... |
# !/usr/bin/python
#
# main.py
# Reads sensor values and sends them to a server through LoRa
# Requires LoPy with CoZIR CO2, Temperature and Humidity sensor attached
# Version 0.11.02
# Author R. Puthli, Itude Mobile
#
#
import TTN
import time
import pycom
from AirSensor import AirSensor
from CoZIR import CoZ... |
from random import choice
class RandomWalk:
""" A class to generate random walks """
def __init__(self,num_points = 5000):
""" Initialize the attributes of the walk """
self.num_points = num_points
#all walk starts at (0,0)
self.x_value = [0]
self.y_value = [0]
de... |
#import pygrend
from scenegraph import *
from darect import *
from pygrend import *
from widgets import *
from view import *
renderer = Renderer()
vTop = BaseView('vTop')
r = DaRect()
r.pos = (0, 0)
r.dims = (800, 600)
vTop.rect = r
SCENEGRAPH.add(vTop)
splitViewInX(vTop, 30)
#splitViewInY(vTop, 10)
# run main lo... |
from django.contrib import admin
from .models import ImageModel
admin.site.register(ImageModel) |
from abc import abstractmethod, ABC
class TreeABC(ABC):
@abstractmethod
def is_empty(self):
raise NotImplementedError
@abstractmethod
def num_nodes(self):
raise NotImplementedError
@abstractmethod
def data(self):
raise NotImplementedError
@abstractmethod
def... |
# File: configure.py
# Aim: Provide tools for setting and getting environ variables
# %%
import os
# %% ----------------------------------
# Set and get local configures through environments
class Configure():
def __init__(self, prefix='_MEG_RSVP_'):
self.prefix = prefix
def unique(self, key):
... |
import os
path = '/Users/jakesorensen/Desktop/'
images = []
others = []
count = 0
for list in os.listdir(path):
if list.endswith('.jpg'):
print(list)
count += 1
print(count)
|
import datetime
import email.message
import math
import logging
import unittest.mock as mock
from typing import Callable, Any
import pytest
from pytest import LogCaptureFixture
from pysimplesoap.simplexml import SimpleXMLElement
import debianbts as bts
from debianbts import Bugreport
logger = logging.getLogger(__nam... |
''' Library containing functions and information to run an oven simulation'''
import matplotlib.pyplot as plt
import numpy as np
class Body(object):
def __init__(self, T0, volume, mat, debug):
self.temp = T0
self.mat = mat
self.volume = volume
self.step_heat = 0
self.debug ... |
# primes.py
def is_prime(n):
""" Returns True if n is a prime number, and False otherwise.
>>> is_prime(-7)
False
>>> is_prime(0)
False
>>> is_prime(1)
False
>>> is_prime(2)
True
>>> is_prime(3)
True
>>> is_prime(25)
False
>>> is_prime(31)
Tr... |
#!/usr/bin/env python3
#
# Development Order #5:
#
# This is the meat and bones of the tool, where the actual desired
# commands or operation will be run. The results are then recorded
# and added to the 'results' JSON data, which will then be sent
# back to the test. Both system and api are able to be used here.
#
im... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
a,b=map(int,raw_input().split())
ans=[str(b)]
while 1:
if b%10==1:
ans.append(str(b/10))
b/=10
elif b%2==0:
ans.append(str(b/2))
b/=2
else:
print 'NO'
break
if b==a:
print 'YES'
print len(ans)
... |
import operator
from collections import OrderedDict
from collections.abc import MutableSequence
from functools import reduce
import pandas
def is_outlier(deviation=3):
"""Build a callable taking a `Series` as argument, and returning a new
`Series` of booleans indicating whether values are in a specific SD ra... |
# 147. Insertion Sort List
#
# Sort a linked list using insertion sort.
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
def __iter__(self):
item = self
while item is not None:
yield item.val
item = item.next
class Soluti... |
#!/usr/bin/python
RED = True
BLACK = False
class Node:
def __init__(self, key=None, val=None, color=None):
self.key = key
self.val = val
self.left = None
self.right = None
self.color = color
class RedBlackBST:
def __init__(self):
self.root = None
def put(... |
# import unittest
from unittest import TestLoader, TestSuite, TextTestRunner
import sys
sys.path.append('..')
# Importing the modules
#from Test_UI.K8s_Parallel_MultiUser_SingleGpu.test_01_singleGpu_pgan_mnist_manual import Kubernetes_Ui_Parallel_Pgan_Mnist_01
#------------ Rapt UI Screens -------------------------... |
import tensorflow as tf
import numpy as np
import sys
def create_model(input_node):
layer1 = tf.layers.conv2d(
input_node,
16,
(3, 3),
padding="SAME",
activation=tf.nn.relu,
kernel_initializer=tf.keras.initializers.he_normal()
)
layer2 = tf.layers.conv2d(
... |
'''30. Write a Python script to check whether a given key
already exists in a dictionary. '''
d = {1: 0, 2: 20, 3: 90, 4: 4, 5: 50, 11: 66}
def is_key(x):
if x in d:
print('Key is already exists in a dictionary ')
else:
print('Key is not exists in a dictionary')
is_key(11)
is_key(0)
|
import os
import torch
import torch.nn as nn
from cleanfid.downloads_helper import *
import contextlib
@contextlib.contextmanager
def disable_gpu_fuser_on_pt19():
# On PyTorch 1.9 a CUDA fuser bug prevents the Inception JIT model to run. See
# https://github.com/GaParmar/clean-fid/issues/5
# https://g... |
from distutils.core import setup
setup(
name='usi_st_robotframework_commonlibrary',
packages=['usi_st_commonlibrary'],
version='0.1',
author='Jerry Huang',
url='',
author_email='Jerry_Huang@ms.usi.com.tw',
license='MIT',
platforms='any',
description='USI RobotFramework library for s... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.core.validators
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations... |
nums = list(map(int, input().split()))
n = len(nums)
ans = []
for i in range(0, n, 2):
a = nums[i]
b = nums[i + 1]
if a * b != 0 and b > 0:
ans.append(str(a * b))
ans.append(str(b - 1))
if len(ans) == 0:
print('0 0')
else:
print(' '.join(ans))
|
"""empty message
Revision ID: 905ba9f6d23d
Revises: 13b0fec5b6ac
Create Date: 2020-11-10 11:51:48.775036
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '905ba9f6d23d'
down_revision = '13b0fec5b6ac'
branch_labels = None
depends_on = None
def upgrade():
# ... |
from __future__ import print_function
import numpy as np
from ase.units import Bohr, Ry
import sys
import os
def read_etot(logfile):
f = open(logfile, 'r')
while True:
line = f.readline()
if not line:
break
if 'Total =' in line:
Etot = float( line.split()[2] )... |
from serial import Serial, EIGHTBITS, PARITY_NONE, STOPBITS_ONE
from pymongo import MongoClient
from json import loads
myclient = MongoClient("mongodb://localhost:27017/")
mydb = myclient["database"]
col_temp = mydb["temp"]
col_light = mydb["light"]
col_press = mydb["press"]
|
import urllib.request
def download_web_image(url):
urllib.request.urlretrieve(url, "messi.jpg")
download_web_image('https://media-public.fcbarcelona.com/20157/0/document_thumbnail/20197/11/31/187/45817611/1.0-10/45817611.jpg?t=1493315026000') |
# question https://www.hackerrank.com/challenges/python-loops/problem
# solution
if __name__ == '__main__':
n = int(input())
for i in range(n):
print(f"{i*i}") |
from pylons import url
|
"""Vistas del módulo erp
"""
# Librerias Django
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.shortcuts import render
# Librerias en carpetas locales
from ..base.models import PyPartner, PyProduct
from .subviews.logoutmodal import LogOutModalView
@l... |
from keras.models import Sequential
from keras.layers import LSTM
from keras.layers import Dense
#for reporting errors
import matplotlib.pyplot as plt
from pylab import figure
from sklearn.metrics import mean_squared_error
from math import sqrt
from utils import *
def lstm_model(neurons, batch_input_shape, stateful=... |
from project_module_installation_and_file_creation import *
if os.path.isfile(os.getcwd() + '/csv and text files/execution_value.txt') == False:
make_folder()
from project_mysql_execution import *
execute_commands()
else:
from project_objects import *
cur.execute('USE project')
from tkin... |
from sklearn.metrics import precision_recall_curve
import pickle
import numpy as np
import matplotlib.pyplot as plt
import itertools
def plot_precision_recall_curve(dst_lst_address):
with open(dst_lst_address, "rb+") as f:
dis_total = pickle.load(f)
print(len(dis_total))
with open("pos_samples.txt... |
"""Add user_linkedin_info.
Revision ID: 41c4d0ca1619
Revises: 1520c933a172
Create Date: 2016-02-08 10:38:57.384355
"""
# revision identifiers, used by Alembic.
revision = '41c4d0ca1619'
down_revision = '1520c933a172'
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
def upgr... |
#!/usr/bin/env python3
import sys
from _constants import *
def checkSexDigit(sexStrDigit):
try:
if sexStrDigit == "" or sexStrDigit == " ":
sexStrDigit = "0"
sexDigit = int(sexStrDigit)
if sexDigit > 59:
raise ValueError("Digit above 59.")
if sexDigit < 0:
... |
from ED6ScenarioHelper import *
def main():
# 格兰赛尔
CreateScenaFile(
FileName = 'T4104 ._SN',
MapName = 'Grancel',
Location = 'T4104.x',
MapIndex = 1,
MapDefaultBGM = "ed60018",
Flags = 0,
... |
#!/usr/bin/env python3
# Solution to Python Challenge Part 0: http://www.pythonchallenge.com/pc/def/0.html
def exponentiate(a,b):
"""
Exponentiate a with be, i.e. a^b
inputs:
a,b : Integers
Outputs:
int : Exponentiated value
Failure:
Exception
"""
return(a**b)
if __na... |
# -*- coding: utf-8 -*-
# script predict with test dataset
# basic library
import pandas as pd, numpy as np
import calendar
import pickle
from sklearn.model_selection import cross_val_score, train_test_split
from sklearn.metrics import mean_squared_error, r2_score, explained_variance_score, mean_absolute_error
fr... |
from django.contrib.auth.models import User
from django.db import models
from .api.APIFactory import APIFactory
from .api.CoinMarketCap import CoinMarketCap
class Crypto(models.Model):
"""Defines cryptocurrencies which can be used in tracker"""
symbol = models.CharField(max_length=10, primary_key=True)
n... |
# Bootstrap confidence intervals
# To "pull yourself up by your bootstraps" is a classic idiom meaning that you achieve a difficult task by yourself with no help at all. In statistical inference, you want to know what would happen if you could repeat your data acquisition an infinite number of times. This task is impos... |
#!/usr/bin/env python
"""
@Author: Anshul Paigwar
@email: p.anshul6@gmail.com
For more information on python-pcl check following links:
Git Hub repository:
https://github.com/strawlab/python-pcl
Check the examples and tests folder for sample coordinates
API documentation:
http://nlesc.github.io/python-pcl/
document... |
#!/usr/bin/python3
def best_score(a_dictionary):
if a_dictionary is None or a_dictionary == {}:
return (None)
best = max(list(sorted(a_dictionary.values())))
for key in a_dictionary:
if best == a_dictionary[key]:
return (key)
return (None)
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('clinic', '0004_auto_20150921_1318'),
]
operations = [
migrations.AddField(
model_name='clinic',
name... |
from scrapy.exporters import CsvItemExporter
from scrapy.conf import settings
class SlybotCSVItemExporter(CsvItemExporter):
def __init__(self, *args, **kwargs):
kwargs['fields_to_export'] = settings.getlist('CSV_EXPORT_FIELDS') or None
super(SlybotCSVItemExporter, self).__init__(*args, **kwargs)
|
from rest_framework.response import Response
from rest_framework.views import APIView
from .models import Category
from .serializers import CategoriesSerializer, CategorySerializer
class CategoriesView(APIView):
"""Categories list output"""
def get(self, request):
categories = Category.objects.all()
... |
""" Specifies routing for the application"""
from flask import render_template, request, jsonify, session
from flask_mysqldb import MySQL
from app import app, mysql, id_dict
from app import database as db_helper
team_map = None
@app.route("/teams/delete/<int:team_id>", methods=['POST'])
def delete(team_id):
""" r... |
import cgi
from classes.pythonSqlConnect import PythonSqlConnect
form = cgi.FieldStorage()
#print(form.getvalue("name"))
# Encoding
import sys
sys.stdout = open(sys.stdout.fileno(), mode='w', encoding='utf8', buffering = 1)
print("Content-type: text/html; charset=utf-8\n")
# Query and Fetch the students
con = Python... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ui/mainwindow.ui'
#
# Created by: PyQt5 UI code generator 5.5.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
Mai... |
n=int(input('Enter the number of nodes:- '))
l=[]
print('\nPlease enter time in HH:MM format.\nEnter the time for:-')
for i in range(n):
print("Node",i+1,": ",end='')
l.append(input())
s=input('\nEnter the agreed upon time (in HH:MM format):- ')
time=s[:3]
s=int(s[3:])
l1=[]
for i in l:
l1.append(in... |
# -*-coding:utf-8 -*-
from datetime import date
from django.db.models import Q, F
from django.shortcuts import get_object_or_404, render
from django.views.generic import ListView, DetailView
from django.core.cache import cache
from config.models import SideBar, Link
from .models import Tag, Category, Post
# Create ... |
import numpy as np
import matplotlib.pyplot as plt
import csv
import cv2 as cv
from PIL import Image
###############################
##### PARAMETER VALUES ######
BOOL_LEFT = True
SIZE_ = 7
RANGE_ = 90
THRESH_ = 750
###############################
#### Mapping function ####
def right_map(i,j):
global l... |
# 33. Search in Rotated Sorted Array
'''
Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand.
(i.e., [0,1,2,4,5,6,7] might become [4,5,6,7,0,1,2]).
You are given a target value to search. If found in the array return its index, otherwise return -1.
You may assume no duplica... |
d={}
with open('poem.txt','r') as f:
for line in f:
for word in line.split():
if word in d:
d[word]+=1
else:
d[word]=1
print(d) |
#import sys
#input = sys.stdin.readline
def main():
N = int( input())
t = N//2
print((N-t)/N)
if __name__ == '__main__':
main()
|
from django.db import models
class Allergen(models.Model):
name = models.CharField('Название', max_length=50)
class Meta:
verbose_name = 'аллерген'
verbose_name_plural = 'аллергены'
def __str__(self):
return self.name
class Dish(models.Model):
allergens = models.ManyToManyF... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 12 14:45:41 2020
@author: pedro
"""
def solution(src, dest):
def getRowCol(x):
return x//8, x%8
def isValid(r, c):
return r >= 0 and r <= 7 and c >= 0 and c <= 7
# get initial and final rows and columns
oro... |
# Generated by Django 3.2 on 2021-05-13 04:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='accounts',
name='user_type',
... |
#
# list_test.py
# python script to provide list of unit tests to cmake
#
# Copyright (c) 2018 Wesley Reinhart.
# This file is part of the crayon project, released under the Modified BSD License.
import os
test_path = os.path.abspath(os.path.dirname(__file__))
import glob
for test in glob.glob(test_path + "/test_*.py"... |
from .base_multilingual_model import MultilingualSummModel, fasttext_predict
from summertime.model.base_model import SummModel
from summertime.model.single_doc import BartModel
from easynmt import EasyNMT
class TranslationPipelineModel(MultilingualSummModel):
"""
A class for multilingual summarization perfor... |
'''
Dropbox holds a competition between schools called CampusCup. If you verify an email address from a college, university, or higher education institution, you earn 20 points toward your school's overall ranking. When a school receives at least 100 points, all of its registered members receive an additional 3 Gb of b... |
from setuptools import setup, find_packages
__version__ = "0.1.0"
setup(
name='mitsuki',
packages=find_packages(),
version=__version__,
description='A simple MAME frontend',
install_requires=[
"pygame",
"pyyaml",
"docopt",
"lxml",
"pillow",
"context.... |
import binascii
import logging
from hexbytes import HexBytes
from web3 import Web3
from web3.datastructures import AttributeDict
from typing import Dict
def check_web3(ethereum_rpc_url: str) -> bool:
try:
w3: Web3 = Web3(Web3.HTTPProvider(ethereum_rpc_url, request_kwargs={"timeout": 2.0}))
ret = w... |
from django.apps import AppConfig
class CountryDataConfig(AppConfig):
name = 'country_data'
|
import pytest
from lxml import etree
from onegov.core.widgets import inject_variables
from onegov.core.widgets import parse_structure
from onegov.core.widgets import transform_structure
from wtforms.validators import ValidationError
class TextWidget:
tag = 'text'
template = """
<xsl:template match="t... |
import sys
from collections import OrderedDict
from numpy import random
sys.path.insert(0, '/home/machen/face_expr')
from chainer.datasets import TransformDataset
from time_axis_rcnn.extensions.special_converter import concat_examples_not_string
from chainer.iterators import SerialIterator, MultiprocessIterator
f... |
# recursion, find max value among a list with n entries
def find_max(data):
"""
linear recursion: time O(n), space O(n)
"""
if len(data) == 1:
return data[0]
else:
return max(data[0], find_max(data[1:]))
def find_max2(data, left, right):
"""
recursion, idea from binary sea... |
'''
우선 해야할 것이
1. genres_original 에 있는 1000개 wav 파일 load 해서 data화
2. fma_small 에 있는 mp3 파일 genre 매칭해서 data화
이것들이 끝나고 나면
pytube.py 파일을 이용해 새로운 genre mp3 파일 100개 수집
해당 mp3 파일을 30초로 자르는 방법이 있을까 체크하기
'''
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import librosa
import librosa.display... |
'''
author: juzicode
address: www.juzicode.com
公众号: juzicode/桔子code
date: 2020.6.26
'''
print('\n')
print('-----欢迎来到www.juzicode.com')
print('-----公众号: juzicode/桔子code\n')
with open('example-a3.txt','a+',encoding='utf8') as fileobj:
posi = fileobj.tell() #获取当前文件指针位置
print('tell():',posi)
fileobj.seek(0... |
#!/usr/bin/env python
import mechanize
import time
import argparse
parser = argparse.ArgumentParser(description='Upload zip files to Purdue DB')
parser.add_argument("-i", "--inputFiles", dest="inputFiles", nargs='+', help="Files to upload")
parser.add_argument("-u", "--user", dest="user", help="Name of user upl... |
from django.contrib import admin
# Register your models here.
from weather.models import AirPollution, AirPollutionData
admin.site.register([AirPollution, AirPollutionData])
|
#!/usr/bin/python
def nested_list(l):
if type(l) == int:
print(l),
return l
for elem in l:
nested_list(elem)
nested_list([1,[4,3],6,[5,[1,0]]])
|
#Credits - https://discuss.pytorch.org/t/convert-int-into-one-hot-format/507/3
import torch
batch_size = 5
nb_digits = 10
# Dummy input that HAS to be 2D for the scatter (you can use view(-1,1) if needed)
y = torch.LongTensor(batch_size,1).random_() % nb_digits
# One hot encoding buffer that you create out of the loo... |
import face_recognition
import os
import sys
import re
from PIL import Image
import PIL
data = "./data"
unknown_image = face_recognition.load_image_file("./photos/jobi.jpg")
unknown_encoding = face_recognition.face_encodings(unknown_image)[0]
for filename in os.listdir(data):
if filename.endswith(".jpg"):
... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
'''
1.设定一个用户名和密码，输入正确提示登录成功，否则失败，但是失败次数最多3次，否则退出程序（可以使用for或者while 循环）
'''
# 1.次数
import sys
username = 'dapeng'
password = 'test123'
#for 循环
# for i in range(3):
# if username == input("输入你的用户名:") and password == input("输入你的密码:"):
# print("Login Successful!")
# break... |
# Bubble Sort Algorithm - V 1.0.0
# Author: Dena, Rene
# Last Modified: 5/26/17
## Misc.
import sys
## Functions
def Main():
nums = []
while True:
try:
one = int(input("Please enter first integer: "))
break
except ValueError:
print("Not a valid integer! Please try again .... |
_running = True
_database = None
def run_console(database):
global _database
_database = database
while _running:
query = input(" > ")
command, args = parse_query(query)
execute(command, args)
def parse_query(query):
parts = query.split(' ')
command = parts[0].lower()
... |
"""
"""
# Copyright 2019 CNRS
# 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,... |
import pandas as pd
import matplotlib.pyplot as plt
import random
import numpy as np
#read dataset
df = pd.read_csv('perceptron_data.csv', delimiter = ',', names = ['x_1', 'x_2', 'Result'])
#tiny step eta
eta = 0.001
#pick random a,b between (-1,0) and random c between (0,1)
a = random.uniform(-1,0)
b = random.unifor... |
#!/usr/bin/python
#\file sub_realtime1.py
#\brief certain python script
#\author Akihiko Yamaguchi, info@akihikoy.net
#\version 0.1
#\date Oct.28, 2021
import numpy as np
import matplotlib.pyplot as plt
if __name__=='__main__':
#plt.rcParams['figure.figsize']= 10,5
fig, (ax1,ax2) = plt.subplots(1,2,figsiz... |
"""
给定一个整数数组和一个整数 k，你需要找到该数组中和为 k 的连续的子数组的个数。
示例 1 :
输入:nums = [1,1,1], k = 2
输出: 2 , [1,1] 与 [1,1] 为两种不同的情况。
说明 :
数组的长度为 [1, 20,000]。
数组中元素的范围是 [-1000, 1000] ，且整数 k 的范围是 [-1e7, 1e7]。
Related Topics 数组 哈希表
👍 895 👎 0
"""
"""
解题思路:
前缀和,保存一个数组的前缀和,然后利用差分法得出任意区间段的和
"""
def subarray_sum(nums, k):
dic =... |
from django.db import models
from rest_framework.authtoken.views import ObtainAuthToken
# class |
import numpy as np
from sklearn import linear_model
import matplotlib.pyplot as plt
# 训练集
X = [0, 1, 2, 3, 0, 1, 2, 3]
Y = [1, 2, 3, 4, -1, 0, 1, 2]
arr = np.array([1, 2, 3, 4]).reshape((4, 1))
print(arr)
# 测试集
X_TEST = [0.5, 1.5, 2.5]
Y_TEST = [1.5, 2.5, 3.5]
plt.figure()
plt.scatter(X, Y, color='red')
plt.title('... |
import sc2
from sc2.constants import *
#our own classes
from probe import Probe as pbControl
from zealot import Zealot as zlControl
from cannon import Cannon as cnControl
class UnitList():
def __init__(self):
self.unit_objects = {}
def make_decisions(self, game):
self.game = game
for unit in self.game.unit... |
from flask import Flask, render_template, redirect
# Import scrape_mars
import scrape_mars
# Import our pymongo library, which lets us connect our Flask app to our Mongo database.
import pymongo
# Create an instance of our Flask app.
app = Flask(__name__)
# Create connection variable
conn = 'mongodb://localhost:2701... |
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