content stringlengths 5 1.05M |
|---|
"""
Created on: 30 June 2019
Investigate stationarity of time series (example of security data), analytics on log-returns
Provide summary statistics on the data
Introduce tests (such as Augmented Dickey Fuller) to check stationarity of time series
Inspiration from: https://www.analyticsvidhya.com/blog/2018/09/non-stat... |
import scrapy
class ItcastSpider(scrapy.Spider):
name = 'itcast'
allowed_domains = ['itcast.cn']
start_urls = ['http://www.itcast.cn/channel/teacher.shtml']
def parse(self, response):
filename = "teacher.html"
open(filename, 'w').write(response.body)
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 28 16:14:58 2021
@author: marina
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 2 20:41:01 2021
@author: marina
"""
# Set absolute package path
import sys, os
sys.path.append(os.path.abspath(".."))
import os
import ext... |
import pytest
from model_mommy import mommy
from usaspending_api.common.recipient_lookups import obtain_recipient_uri
@pytest.fixture
def recipient_lookup(db):
parent_recipient_lookup = {"duns": "123", "recipient_hash": "01c03484-d1bd-41cc-2aca-4b427a2d0611"}
recipient_lookup = {"duns": "456", "recipient_ha... |
"""This module implements the models for the Blog core system."""
from app.models.acl import AccessControlMixin
from app.models.patch import CommentMixin, StatusMixin, TagMixin
from app.models import db
class Post(AccessControlMixin, StatusMixin, CommentMixin, TagMixin, db.Model):
"""Implements the Post model.
... |
# Time Limit Exceeded
# class Solution(object):
# def threeSum(self, nums):
# """
# :type nums: List[int]
# :rtype: List[List[int]]
# """
# nums.sort()
# triplates = []
# for i in range(len(nums) - 2):
# if i > 0 and nums[i] == nums[i - 1]:
# ... |
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from matplotlib.path import Path
import json
import numpy as np
from pymongo import MongoClient
import requests
from StringIO import StringIO
from PIL import Image
zid = 'ARG0001n7u'
client = MongoClient('localhost', 27017)
db = client['radio']
sub... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Dell EMC OpenManage Ansible Modules
# Version 3.0.0
# Copyright (C) 2020-2021 Dell Inc. or its subsidiaries. All Rights Reserved.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
#
from __future__ import (absolute_import, divi... |
from django.db import IntegrityError
from Poem.api.views import NotFound
from Poem.helpers.history_helpers import create_history
from Poem.poem import models as poem_models
from rest_framework import status
from rest_framework.authentication import SessionAuthentication
from rest_framework.response import Response
fr... |
from operator import mul as _mul
from functools import reduce as _reduce
def product(iterable):
"""
Returns the product of an iterable
If the list is empty, returns 1
"""
return _reduce(_mul, iterable, 1)
|
#!/usr/bin/env python
import argparse
parser = argparse.ArgumentParser(description="Go through the chunks.dat file and segment the dataset into chunks.")
parser.add_argument("--plot", action="store_true", help="Make plots of the partitioned chunks.")
args = parser.parse_args()
import os
import psoap.constants as C
... |
from django import forms
from transport.models import Transport
from django.utils.translation import gettext_lazy as _
from units.models import Goods
class TransportForm(forms.ModelForm):
address = forms.CharField(max_length=100, widget=forms.TextInput(attrs={'id':"addressAutocomplete"}))
class Meta:
... |
import numpy as np
import matplotlib.pyplot as plt
from jump_reward_inference.state_space_1D import beat_state_space_1D, downbeat_state_space_1D
class BDObservationModel:
"""
Observation model for beat and downbeat tracking with particle filtering.
Based on the first character of this parameter, each... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'download_new.ui'
#
# Created by: PyQt4 UI code generator 4.11.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
def _fromUtf8(... |
""" Definitions of sections to be used in definitions of input parameters
(input files for SPR-KKR tasks) """
from ...common.grammar_types import DefKeyword, SetOf, Flag, energy
from ..input_parameters_definitions import \
SectionDefinition as Section, \
ValueDefinition as V
def CONTROL(ADSI):
""" Crea... |
"""
isinstance() 函数来判断一个对象是否是一个已知的类型，返回值是True or False
语法格式：isinstance(object, tuple)
参数：
object -- 实例对象。
tuple -- 基本类型或者由它们组成的元组，也可以是直接或间接类名。
"""
print(isinstance('hello', (int, str))) #注意不是 string
# 父类
class Parent(object):
pass
#子类
class Sub(Parent):
pass
#实例化
A = Parent()
B = Sub()
# isinstance() 会认为... |
# -*- coding: utf-8 -*-
"""
Author-related RESTful API module.
"""
from flask import request
from flask_restful import Resource
from flask_sqlalchemy import BaseQuery
from marshmallow import ValidationError
from .. import auth, db
from ..models import Author, author_schema, authors_schema
from ..utils import paginat... |
from datetime import datetime
import re
import_file_path = "/Users/hewro/Desktop/test.txt"
export_file_path = "/Users/hewro/Desktop/dayone_out.txt"
# 如果上一行是日期，紧邻的下一行也是日期，并且两个时间戳一致则该行日期不再录用
last_timestamp = 0.0
repeat_time = 0
day_cout = 0
def parse2time(title):
global last_timestamp, repeat_time, day_cout
... |
from typing import List
import stim
from ._zx_graph_solver import zx_graph_to_external_stabilizers, text_diagram_to_zx_graph, ExternalStabilizer
def test_disconnected():
assert zx_graph_to_external_stabilizers(text_diagram_to_zx_graph("""
in---X X---out
""")) == [
ExternalStabilizer(input... |
from sklearn.compose import ColumnTransformer
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import IsolationForest
from sklearn.pipeline import make_pipeline
from sklearn.pipeline import FeatureUnion
from sklearn.preprocessing import OneHotEncoder
from sklearn.svm import LinearSVC
from sklea... |
import logging
from telegram import Update
from telegram.ext import Updater
from telegram.ext import CallbackContext
from telegram.ext import CommandHandler
from telegram.ext import MessageHandler
from telegram.ext import Filters
from Caller import Caller
class TelegramInterface:
def __init__(self, token, admin_... |
import DecisionTree
def main():
#Insert input file
"""
IMPORTANT: Change this file path to change training data
"""
file = open('SoybeanTraining.csv')
"""
IMPORTANT: Change this variable too change target attribute
"""
target = "class"
data = [[]]
for line in file:
... |
# -*- coding: utf-8 -*-
# Copyright (c) 2015, seethersan and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from ovenube_peru.ple_peru.utils import Utils, to_file
class LibroElectronicoDiarioSimplificado(Utils):
def get_account(self, company, yea... |
value = float(input())
print('NOTAS:')
for cell in [100, 50, 20, 10, 5, 2]:
print('{} nota(s) de R$ {},00'.format(int(value/cell), cell))
value = value % cell
print('MOEDAS:')
for coin in [1, 0.5, 0.25, 0.10, 0.05, 0.01]:
print('{} moeda(s) de R$ {:.2f}'.format(int(value/coin), coin).replace('.',','))
v... |
from conans import ConanFile, tools
import os
class GreatestConan(ConanFile):
name = "greatest"
version = "1.4.1"
url = "https://github.com/bincrafters/conan-greatest"
homepage = "https://github.com/silentbicycle/greatest"
description = "A C testing library in 1 file. No dependencies, no dynamic a... |
from pymongo import MongoClient
import pandas as pd
import json
class MongoUtil:
def __init__(self, host='localhost', port=27017):
#The only fields that are searchabel
self.searchableFields = ['website','username']
try:
self.client = MongoClient(host, port)
self.db =... |
from __future__ import unicode_literals
import frappe
from frappe.model.utils.rename_field import *
def execute():
for doctype in ("Purchase Receipt Item", "Delivery Note Item"):
frappe.reload_doctype(doctype)
table_columns = frappe.db.get_table_columns(doctype)
if "qa_no" in table_columns:
rename_field(doc... |
import tensorflow as tf
input_image_size = 28
output_image_size = 24
input_image_channels = 1
num_labels = 10
valid_records = 5000
test_records = 10000
train_records = 55000
batch_size = 100
def read_path_file(image_file):
f = open(image_file, 'r')
paths = []
labels = []
for line in f:
label,... |
'''
Script to graph various statistics
'''
import os
from os import path
import sys
import itertools
from statistics import geometric_mean
import argparse
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
apps = ["bt", "cg", "ep", "ft", "lu", "mg", "sp", "ua", "dc"]
'''
Graph data as a bar cha... |
from selenium import webdriver
import unittest
class TablesCheck(unittest.TestCase):
def setUp(self):
# Define driver
self.driver = webdriver.Chrome()
# Navigate to the url
url = 'http://www.w3schools.com/html/html_tables.asp'
self.driver.get(url)
def test_get_number_... |
# Send model regression test results to Segment with a summary
# of all test results.
import analytics
import datetime
import json
import os
from datadog_api_client.v1 import ApiClient, Configuration
from datadog_api_client.v1.api.metrics_api import MetricsApi
from datadog_api_client.v1.model.metrics_payload import Me... |
from lpd8.programs import Programs
from lpd8.pads import Pad, Pads
from lpd8.knobs import Knobs
class Actions:
"""
Class used to implement main logic related to LPD8 <> SuperCollider interactions
"""
_pad_to_bank = { # pads to banks translation dict
Pads.PAD_6: 0,
Pads.PAD_2: 1... |
# -*- coding:utf-8 -*-
"""
Created on 8/20/2018
Author: wbq813 (wbq813@foxmail.com)
"""
# 字符串预处理模块，为分析器TimeNormalizer提供相应的字符串预处理服务
import re
NUM_MAP = {"零": 0, "0": 0,
"一": 1, "1": 1,
"二": 2, "2": 2, "两": 2,
"三": 3, "3": 3,
"四": 4, "4": 4,
"五": 5, "... |
from turtle import fillcolor
from manim import *
class Amedee(Scene):
def construct(self):
name=Tex("Amedee", tex_template=TexTemplateLibrary.ctex, font_size=30).to_edge(UL,buff=1)
sq=Square(
side_length=2,
fill_color=GREEN,
fill_opacity=0.75
... |
*d,s="""k= I-~)1 H-~S( 3!4-~( C*~U!0-~L3 :&~luos& L+~laets ot evah yam I dna revo gnuh( +,~a m'I
laed a & 9+~c em tel( I-~ereht yeH
hsu& M,~sekam epat tcud sih dnA
hsur a ni slived eht haeYP#V&~H0 [&~esraeh a dna evarg a naht retteb s'taht sseug I
krow fo tuo lla er'ew tub ainrofilaC gni& P$~eW
tsao& ]#~ot me' evord uo... |
from django_celery_beat.admin import PeriodicTaskForm, TaskChoiceField, CrontabSchedule
from django.utils.translation import ugettext_lazy as _
from main.fields import SourceChoiceField, DbTypeChoiceField
from main.models import BruteConfig, Dictionary, Database
from django import forms
from typing import Any
import js... |
from cinto import contas
num = int(input('Digite um valor'))
fat = contas.fatorial(num)
print(f'O fatorial de {num} é {fat}')
print(f'O dobro de {num} é {contas.dobro(num)}')
print(f'O triplo de {num} é {contas.triplo(num)}')
|
# Generated by Django 3.2.4 on 2021-06-22 09:03
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("testapp", "0002_alter_blogpage_channel_id"),
]
operations = [
migrations.RemoveField(
model_name="blogpage",
name="last_upda... |
import pandas as pd
import numpy as np
from scipy.io import loadmat
from tqdm import tqdm
from noiseceiling.utils import _find_repeats
mat = loadmat('data/raw/AU_data_for_Lukas.mat')
au_names = [n[0] for n in mat['AUnames'][0]]
rename_au = {'AU10Open': 'AU10', 'AU10LOpen': 'AU10L', 'AU10ROpen': 'AU10R', 'AU16Open': 'A... |
# app/main.py
# FastAPI start app
# uvicorn app.main:app --reload
from typing import Dict
from fastapi import FastAPI, Request, status
from ai import utils
from app.core import auth, nlp, user
from app.database import mongodb
# Define app
app = FastAPI(
title="Zero-Shot Classification API",
description="Cla... |
import enum
class logmessage_types(enum.Enum):
sent, received, internal = range(3)
class internal_submessage_types(enum.Enum):
quit, error = range(2)
class controlmessage_types(enum.Enum):
quit, reconnect, send_line, ping, ping_timeout = range(5)
class cronmessage_types(enum.Enum):
quit, schedule, delete, resch... |
import argparse
import os
import numpy as np
from sklearn.metrics import confusion_matrix, classification_report
from pytorch_transformers import BertTokenizer
import nemo
import nemo_nlp
from nemo_nlp.callbacks.joint_intent_slot import \
eval_iter_callback, eval_epochs_done_callback
from nemo_nlp.text_data_utils... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import random
import hashlib
import copy
from random import randint
from random import choice
possible_names = ['Carolina', 'Guilherme', 'Daniel', 'Luna', 'Natalie', 'Elaini', 'Eduarda', 'Isabella', 'Júlia', 'André', 'Thiago', 'Sandra', 'Edson', 'Ossian', 'Laura', 'Dante... |
# Copyright 2004-2008 Roman Yakovenko.
# Distributed under the Boost Software License, Version 1.0. (See
# accompanying file LICENSE_1_0.txt or copy at
# http://www.boost.org/LICENSE_1_0.txt)
import os
from . import algorithm
from . import declaration_based
from . import registration_based
from pygccxml import declara... |
'''A Confederação Nacional de Natação precisa de um programa que leia o ano de nascimento de um atleta e mostre sua
categoria, de acordo com a idade:
- Até 9 anos: Mirim
- Até 14 anos: Infantil
- Até 18 anos: Junior
- Até 20 anos: Sênior
- Acima: Master'''
from datetime import date
ano = int(input('\033[33mDigite o seu... |
# Copyright 2019 The TensorFlow 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 applica... |
import torch
import shutil
import unittest
from lstm_dna.loader import load_genbank, divide_sequence
from .setup_dirs import setup_dirs
class TestLoader(unittest.TestCase):
def setUp(self):
self.indir, self.workdir, self.outdir = setup_dirs(fpath=__file__)
def tearDown(self):
shutil.rmtree(s... |
from request import Request
class Event:
def __init__(self, data):
self.data = data;
def request(self):
return Request(self.data['Records'][0]['cf']['request'])
|
from utility import *
class Snake():
def __init__(self, snake):
#print("~~~~~~Snake Object Created~~~~~~~")
self.id = snake['id']
#print(self.id)
self.name = snake['name']
#print(self.name)
self.health = snake['health']
#print(self.health)
self.coordinates = snake['body']
#print(... |
from typing import Any, Tuple
from Base.bp2DBin import Bin
from Base.bp2DBox import Box
from Base.bp2DPnt import Point
def face_intersection(b1: Box, b2: Box) -> int:
'''Check how much overlap the faces of two rectangles have.
Return the overlap, as a face, or return None, if there is no face intersection.''... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn import preprocessing
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, confusion_matrix
#Definiamo KNN come modello, in particolar... |
#!/usr/bin/env python
#
# Copyright (c) 2015, 2016, 2017, 2018, 2019, 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
# ... |
import socket
serversocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
serversocket.bind((socket.gethostname(), 25000))
serversocket.listen()
print("Server is listening....")
connection, address = serversocket.accept()
print("Connection has been established")
msg = connection.recv(1024)
received=msg.dec... |
import datetime
import random
from datetime import datetime
from discord.ext import commands
class ProgrammCog(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.programm = ("Hier steht ihr programm",)
self.password = "5mal4plus5ergibt25"
@commands.command(name='new', help=... |
class Song():
def __init__(self, title, artist):
self.title=title
self.artist=artist
self.arr=set()
def how_many(self, arr):
length=len(self.arr)
for i in arr:
self.arr.add(i.lower())
return len(self.arr)-length |
def solution(A):
hashMap = {}
# Loop for each element of the original array
for i in A:
# Check if hashMap has the element and invert the value of true, else add it with initial value of true
if i in hashMap:
hashMap[i] = not hashMap[i]
else:
hashMap[i] = Tru... |
'''OpenGL extension ARB.instanced_arrays
This module customises the behaviour of the
OpenGL.raw.GL.ARB.instanced_arrays to provide a more
Python-friendly API
Overview (from the spec)
A common use case in GL for some applications is to be able to
draw the same object, or groups of similar objects that share
ver... |
# Standard library imports
import sys
import warnings
# Local imports
from uplink import decorators
from uplink.converters import keys, interfaces
__all__ = ["json", "from_json", "schema"]
class _ReturnsBase(decorators.MethodAnnotation):
def _get_return_type(self, return_type): # pragma: no cover
retur... |
from __future__ import print_function
from setuptools import setup, find_packages
packages = find_packages(include = 'fastml_engine.**', exclude=['fastml_engine.egg-info'])
packages.append('fastml_engine.docs')
print(packages)
setup(
name='fastml_engine',
version='1.0.6',
author="HaiTao Hou",
author... |
class Rect:
def __init__(self, x, y, w, h):
self.x1 = x
self.y1 = y
self.x2 = x + w
self.y2 = y + h
def center(self):
center_x = int((self.x1 + self.x2) / 2)
center_y = int((self.y1 + self.y2) / 2)
return (center_x, center_y)
def intersect(self, othe... |
from cs251tk.common import chdir
from cs251tk.common import run
def reset(student):
with chdir(student):
run(['git', 'checkout', 'master', '--quiet', '--force'])
|
import spacy
from spacy.language import Language
from spacy.lang.tokenizer_exceptions import URL_MATCH
#from thinc.api import Config
from .stop_words import STOP_WORDS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES, TOKENIZER_INFIXES
from .lex_att... |
import unittest
import trafaret as t
import trafaret_schema
class TestConstEnumType(unittest.TestCase):
def test_const(self):
check = trafaret_schema.json_schema({
'const': 'blabla',
})
self.assertEqual(check('blabla'), 'blabla')
check = trafaret_schema.json_schema({
... |
# Knapsack algorithm
# prints out the value of the optimal solution
a = []
with open('knapsack1.txt', 'r') as doc:
for line in doc:
a.append(list(map(int, line.split())))
kn_size = a[0][0] + 1
n = a[0][1] + 1
del a[0]
A = [[]]*n
A[0] = [0]*kn_size
for i in range(1, n):
A[i] = [0]*kn_size
for x in... |
import pickle
from nose.tools import eq_
from ..row_type import RowGenerator
def test_row_type():
MyRow = RowGenerator(["foo", "bar", "baz"])
r = MyRow("15\t16\tNULL")
eq_(r.foo, "15")
eq_(r['foo'], "15")
eq_(r[0], "15")
eq_(r.bar, "16")
eq_(r['bar'], "16")
eq_(r[1], "16")
eq_(r.... |
# Copyright The IETF Trust 2007, All Rights Reserved
import os
from django.shortcuts import get_object_or_404, render
import debug # pyflakes:ignore
from ietf.doc.models import State, StateType
from ietf.name.models import StreamName
def state_index(request):
types = StateType.object... |
# global
import abc
from typing import Optional, Union
# local
import ivy
class ArrayWithLosses(abc.ABC):
def cross_entropy(
self: ivy.Array,
pred: Union[ivy.Array, ivy.NativeArray],
axis: Optional[int] = -1,
epsilon: Optional[float] = 1e-7,
*,
out: Optional[ivy.Ar... |
from dmae import dissimilarities, layers, losses, metrics, initializers, normalizers
__all__ = [
"dissimilarities", "layers",
"losses", "metrics",
"initializers", "normalizers"
]
|
"""
Inspired by https://github.com/tkarras/progressive_growing_of_gans/blob/master/tfutil.py
"""
import tensorflow as tf
import numpy as np
seed = 1337
np.random.seed(seed)
tf.set_random_seed(seed)
# ---------------------------------------------------------------------------------------------
# For convenience :)
... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 18 20:55:41 2017
@author: virilo
"""
import numpy as np
COLOR_DEPTH=255.0
z=[]
eps = - 2.0 * 16.0 / COLOR_DEPTH
for n in range(256):
normalized=(np.float32(n)/ COLOR_DEPTH) * 2.0 - 1.0
# we add eps
normalized=normalized... |
class Direction:
LEFT = 0
RIGHT = 1
UP = 2
DOWN = 3 |
from django.contrib.auth.decorators import permission_required
from django.core.urlresolvers import reverse, reverse_lazy
from django.http import JsonResponse, HttpResponseRedirect
from django.utils.decorators import method_decorator
from django.views.generic import View, DetailView
from django.views.generic.detail imp... |
from django.db import models
from django.conf import settings
from django.contrib.auth.models import (AbstractBaseUser,
PermissionsMixin, BaseUserManager
)
class UserProfilesManager(BaseUserManager):
def create_user(self, email,first_name,last_name, passwor... |
__author__ = "Max Dippel, Michael Burkart and Matthias Urban"
__version__ = "0.0.1"
__license__ = "BSD"
import numpy as np
class LossWeightStrategyWeighted():
def __call__(self, pipeline_config, X, Y):
counts = np.sum(Y, axis=0)
total_weight = Y.shape[0]
if len(Y.shape) > 1:
... |
#! /usr/bin/python
from setuptools import setup
import os.path
setup(name='passencode',
version='2.0.0',
description='passencode',
author='Nicolas Vanhoren',
author_email='nicolas.vanhoren@unknown.com',
url='https://github.com/nicolas-van/passencodeu',
py_modules = [],
package... |
#!/usr/bin/python
import sys
import json
import os
from collections import OrderedDict
poolInitialSize = sys.argv[1]
poolMaxSize=sys.argv[2]
appSettingsFilePath = "/usr/lib64/microsoft-r/rserver/o16n/9.1.0/Microsoft.RServer.ComputeNode/appsettings.json"
f = open(appSettingsFilePath, "r")
jsondata = f.read().decode("... |
"""Unittests for crypto challenges set 1."""
import unittest
import encode_decode as set_1
class TestChallenges(unittest.TestCase):
"""Test if the challenges were correctly implemented."""
def test_decode_hex(self):
"""Test decoding of hex string."""
self.assertEqual(255, list(set_1.decode_... |
import json
import logging
from pathlib import Path
from typing import Dict, Text, Union
import requests
from requests.exceptions import ConnectionError, Timeout, TooManyRedirects
from src.coins.base import Coin
from src.lib.config import Config
MODULE_LOGGER = logging.getLogger(Path(__file__).name)
def get_curren... |
def divisibleSumPairs(n, k, ar):
numPairs = 0
ar = sorted(ar)
for i in range(n-1):
for j in range(i,n):
if ((ar[i]+ar[j]) % k == 0) and i < j:
numPairs +=1
return numPairs
if __name__ =="__main__":
#ar = [43 ,95 ,51 ,55 ,40 ,86 ,65 ,81 ,51 ,20 ,47 ,50 ,65 ,53 ,... |
import torch
from matplotlib import pyplot as plt
import math
π = math.pi
torch.manual_seed(4)
X = torch.randn(2, 2)
Y = torch.zeros(2)
Y[0] = 1
s1 = 320
s2 = 26000
s1 = 160
s2 = 120
def R(θ):
θ = torch.tensor(θ)
return torch.tensor([[torch.cos(θ), -torch.sin(θ)],
[torch.sin(θ), torc... |
# coding: utf-8
from __future__ import unicode_literals
import unittest
import responses
from admitad.items import LinksValidator
from admitad.tests.base import BaseTestCase
class LinksValidationTestCase(BaseTestCase):
def test_link_validation_request(self):
with responses.RequestsMock() as resp:
... |
from datetime import datetime
from vaccineAvailabilityNotifier.client.actionsImpl import ActionsImpl
from vaccineAvailabilityNotifier.util import response_processor_utils
def get_url(params={}):
return 'https://cdn-api.co-vin.in/api/v2/appointment/sessions/public/calendarByDistrict?district_id=' + params[
... |
import sys
if sys.version_info < (3, 0):
sys.stdout.write("Sorry, requires Python 3.x, not Python 2.x\n")
sys.exit(1)
import random
import itertools
import copy
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from time import localtime, strftime
import signal
import sys
im... |
from clients import installed_games, steamapi
if __name__ == '__main__':
api = steamapi.SteamApiClient()
games = api.get_player_owned_games()
for game in games:
game['installed'] = installed_games.is_game_in_installed_games_list(game)
for game in sorted(games, key=lambda game: game['name']):
... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
import sys
import time
import json
import requests
from PyQt5 import QtGui
from PyQt5 import QtWidgets
from PyQt5 import QtCore
from PyQt5.QtCore import QThread, pyqtSignal, pyqtSlot
import design
class getPostsThread(QThread):
add_post_signal = pyqtSignal(str)
def __init__(self, subreddits):
"... |
#!/usr/bin/python
#
# Copyright 2020 Google LLC
#
# 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 ag... |
import FWCore.ParameterSet.Config as cms
import math
muonEfficiencyThresholds = [16, 20, 25]
# define binning for efficiency plots
# pt
effVsPtBins = range(0, 50, 2)
effVsPtBins += range(50, 70, 5)
effVsPtBins += range(70, 100, 10)
effVsPtBins += range(100, 200, 25)
effVsPtBins += range(200, 300, 50)
effVsPtBins += r... |
# -*- coding: utf-8 -*-
"""
author: zengbin93
email: zeng_bin8888@163.com
create_dt: 2021/10/30 20:18
describe: A股市场感应器若干，主要作为编写感应器的示例
强势个股传感器
强势板块传感器
强势行业传感器
大盘指数传感器
"""
import os.path
import traceback
from datetime import timedelta, datetime
from collections import OrderedDict
import pandas as pd
from tqdm import t... |
import numpy as np
import math
import random
import matplotlib.pyplot as plt
from scipy import stats
# declare number of particles used for object track estimation
particles = 100
# declare arrays
likelihood = np.empty(particles) # calculate likelihood of estimate provided by the particle position
estimated = np.em... |
#!/usr/bin/python
import math
import numpy as np
import pandas as pd
# random generators
import random
from numpy.random import default_rng
from scipy.stats import t # student distribution
# matplotlib
import matplotlib.pyplot as plt
#-----------------------------------------------------------------------------... |
import cv2
import numpy as np
# Load image, create mask, grayscale, and Otsu's threshold
image = cv2.imread('2.png')
mask = np.zeros(image.shape, dtype=np.uint8)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
# Perform morph operations
o... |
import yaml
import pandas as pd
import numpy as np
import os
import yaml
this_dir, this_filename = os.path.split(os.path.abspath(__file__))
DATA_PATH = os.path.join(this_dir, '..', "data")
def load_mismatch_scores(name_or_path):
""" Loads a formatted penalty matrix.
Parameters
----------
name_or_path... |
# Copyright (C) 2015 SlimRoms Project
#
# 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... |
# version
VERSION_NAME = 'versionName'
VERSION_CODE = 'versionCode'
|
from abc import ABC
import gym
from gym import spaces
from gym.utils import seeding
from gym.envs.registration import register
import numpy as np
import heapq
import time
import random
import json
import os
import sys
import inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))... |
import socket
import struct
import threading
import platform
msgDecoded = b""
filenameDecoded = ""
def send(filepath:str, socket:socket.socket):
try:
fObj = open(filepath, "rb")
except Exception as err:
print(err)
return
f = fObj.read()
bLenFilecontents = struct.pack("!I", len... |
'''
Created on Jun 24, 2017
@author: lawrencezeng
'''
def is_goal(position, goal):
for i in xrange(0, len(goal)):
for j in xrange(0, len(goal[0])):
if position[i + 1][j + 1] != goal[i][j]:
return False
return True
def mismatched_tiles(position, goal):
""" Ret... |
'''
Nutanix REST API Bootcamp.
Lesson05.
Complex sample.
Create Image(vDisk or ISO) from NFS Server.
'''
import time
import json
import requests
import urllib3
from urllib3.exceptions import InsecureRequestWarning
urllib3.disable_warnings(InsecureRequestWarning)
IP = '10.149.20.41'
USER = 'admin'
PASSWORD = 'Nutanix... |
"""Test evaluation base."""
# pylint: disable=import-error,protected-access
from unittest.mock import AsyncMock
from supervisor.coresys import CoreSys
from supervisor.resolution.const import ContextType, SuggestionType
from supervisor.resolution.data import Suggestion
from supervisor.resolution.fixups.create_full_snap... |
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