content stringlengths 5 1.05M |
|---|
"""
Module: 'flowlib.simple' on M5 FlowUI v1.4.0-beta
"""
# MCU: (sysname='esp32', nodename='esp32', release='1.11.0', version='v1.11-284-g5d8e1c867 on 2019-08-30', machine='ESP32 module with ESP32')
# Stubber: 1.3.1 - updated
from typing import Any
class MQTTClient:
""""""
def _clean_sock_buffer(self, *argv... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# ------------------------
# Penji OpDev Fall 2019
# Course Scraping Run Wrapper
# Author: Cory Paik
# Updated:
# ------------------------
# General
import os
import argparse
import importlib.util
# Local
from core.config import cfg
from core.utils import setup_logger, loa... |
#
# Copyright The NOMAD Authors.
#
# This file is part of NOMAD.
# See https://nomad-lab.eu for further info.
#
# 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/lic... |
from flask import Flask, render_template, abort, redirect, url_for
from flask_script import Manager
from jinja2 import TemplateNotFound
app = Flask(__name__)
app.config['TESTING'] = True
manager = Manager(app)
@app.route('/', endpoint='frontend-index')
def root():
# Redirect Base URL for the real Index Page.
... |
# Give an output statement to write one line of a table
# containing a product description, quantity, unit price,
# and total price in dollars and cents. You want the columns
# to line up, like this:
# Item Qty Price Total
# Toaster 3 $29.95 $89.85
# Hair Dryer 19 $24.95 $24.95
# Car V... |
upscale_factor = 2
dolphin_path = "~\\Documents\\Dolphin Emulator"
extension_whitelist = ["png"]
name_contains_blacklist = [
"672x736", "512x512", "352x256",
"336x368", "256x256", "256x96",
"176x128", "512x192"
]
upscale_command = '{0}\\waifu2x\\waifu2x.exe -i "{1}" -o "{2}" -n 2 -s {3}'
startup_message ... |
"""Extractor to get messages from Pubsub"""
#pylint: disable=super-on-old-class
#pylint: disable=too-many-nested-blocks
import time
from gcloud.datastores.pubsub import PubsubSubscriber
from etl_framework.config_mixins.FiltersMixin import FiltersMixin
from etl_framework.Extractor import Extractor
class PubsubExtrac... |
class A:
def f(self):
pass
# 比较存在/缺失type hinting条件下，重构函数f的效果。
# 注意，如果有另外一个库也用命名为f的函数，且没有添加type hinting，那么依然会被纳入重构范围。
# 不要忘记核对dynamic_references中是否纳入了错误的重构目标。
class B:
def f(self):
pass
class C:
# def __init__(self, a, b):
def __init__(self, a: A, b: B):
self.a = a
... |
# -*- coding: utf-8 -*-
__author__ = 'Arseniy'
from model.group import Group
import random
def test_edit_first_group(app, db):
if len(db.get_group_list()) == 0:
app.group.create(Group(name="sdfsf"))
old_groups = db.get_group_list()
target_group = random.choice(old_groups)
group = Group(name="t... |
'''
You are assigned to put some amount of boxes onto one
truck. You are given a 2D array boxTypes, where
boxTypes[i] = [numberOfBoxesi, numberOfUnitsPerBoxi]:
- numberOfBoxesi is the number of boxes of type i.
- numberOfUnitsPerBoxi is the number of units in
each box of the typ... |
import mysql.connector
from database import login_info
db = mysql.connector.Connect(**login_info)
cursor = db.cursor()
cursor.execute("SELECT id, name, family FROM animal")
animals = cursor.fetchall()
for animal in animals:
id = animal[0]
name = animal[1]
family = animal[2]
cursor.execute("SELECT COU... |
""" Дни рождения
Karkyshka 14.12
burik 12.09
Шулаева Оксана 27.09
Вартас 22.03
Мотыль 31.10
Эксайтёр 08.12
Рома slalus 11.08
Света Луковская 30.05
megalohobot 19.03
Макс Шаар 22.01
Пабз 06.01
Alexandr Gorodnichev 12.08
Дашин Милый 25.06
Прокол 01.06
Лера Бурмистрова 18.01
Dgoo0 12.06
Женя Пятак 12.01
... |
import numpy as np
import pandas as pd
def integral(df,data):
integral = [0]
for i in range(len(df.index) - 1):
dt_ = df.time[i + 1] - df.time[i]
integral_ = data[i] * dt_
integral_ += (data[i + 1] - data[i]) * dt_ / 2.0
integral.append(integral[i] + integral_)
... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import sys
import os
from os import path
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))
import copy
import argparse
from models.layers import *
class Generator(nn.Module):
def __init__(self, latent_dim, style_length=5, conte... |
import matplotlib.pyplot as plt
from scipy.signal import savgol_filter
Dataset = "CIFAR100"
# [8][3]
titles = [
#0
["Basic flip0.1",
"Basic flip0.3",
"Basic flip0.6"],
#1
["Basic unif0.1",
"Basic unif0.3",
"Basic unif0.60"
],
#2
['... |
import pytest
import _pickle as pickle
import numpy as np
from homog import hrot, htrans, axis_angle_of, axis_ang_cen_of
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
from worms import *
import time
from worms.tests import only_if_pyrosetta, only_if_pyrosetta_distributed
from worms.util import ... |
# Copyright (c) 2014 The Chromium Embedded Framework Authors. All rights
# reserved. Use of this source code is governed by a BSD-style license that
# can be found in the LICENSE file
from exec_util import exec_cmd
import os
import sys
if sys.platform == 'win32':
# Force use of the git version bundled with depot_to... |
from __future__ import division
import math
import cell
import geometry
class Line(object):
"""
Representation of a line joining two points.
"""
def __init__(self, start, end):
"""
Initialize with start and end Cell objects.
"""
self.start = start
self.end = end... |
import argparse
import os
import sys
import re
import cv2
import pydicom as pyd
import torch
import torch.nn as nn
import numpy as np
from math import log10, sqrt
from skimage.measure import compare_ssim
parser = argparse.ArgumentParser()
parser.add_argument("--checkpoint", type=str, required=True, help='path of chec... |
from retrobiocat_web.app.biocatdb import bp
from flask import flash, url_for, request, jsonify
from flask_security import roles_required, current_user
from retrobiocat_web.mongo.models.biocatdb_models import Sequence, Activity, Paper, EnzymeType
from retrobiocat_web.app.app import user_datastore
from retrobiocat_web.ap... |
from pynq import GPIO
# Pins dont exist in CPython so...lets make our own!
class Pin:
IN = 0
OUT = 1
LOW = 0
HIGH = 1
PULL_NONE = 0
PULL_UP = 1
PULL_DOWN = 2
id = None
_value = LOW
_mode = IN
pynq_gpio = None
def __init__(self, pin_id):
self.id = pin_id
d... |
import torch
from torch import nn
import torch.nn.functional as F
class ProjectionHeadAE(nn.Module):
def __init__(self, input_dim=2048, hidden_dim=2048, output_dim=128):
super(ProjectionHeadAE, self).__init__()
self.projection_head = nn.Sequential(
nn.Linear(input_dim, hidden_dim, bia... |
# Generated by Django 3.0 on 2020-05-19 11:29
from django.db import migrations, models
import django.db.models.deletion
import systems.models.fields
class Migration(migrations.Migration):
dependencies = [
('environment', '0002_auto_20190520_0649'),
('schedule', '0004_scheduledtask_user'),
]
... |
import bpy, bmesh, math, random
def console(data, level = "OUTPUT"):
for window in bpy.context.window_manager.windows:
screen = window.screen
for area in screen.areas:
if area.type == 'CONSOLE':
override = {'window': window, 'screen': screen, 'area': area}
... |
#! /usr/bin/env python
from seleniumrequests import Chrome
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.chrome.options import Options
import time
import argparse
MAX_POSTS = 5000
def run_delete():
parser = argparse.ArgumentParser()
parser.add_argument("-E",
... |
#pandas for dataframes read and write
#numpy for around function used here
import pandas as pd
import numpy as np
dataset=pd.read_csv("../input/titanic-dataset/train (1).csv") #the path here is according to Kernel in kaggle path .
testset=pd.read_csv("../input/titanic-dataset/test.csv")
trainedSurvived=dataset.iloc[:... |
import pytest
from ftw import testrunner, errors
@pytest.fixture
def modsec_logger_obj():
"""
Modsec logger object to access in the verifier
@TODO
"""
return None
def test_modsecurityv2(modsec_logger_obj, ruleset, test, destaddr):
"""
Modsec specific test
"""
runner = testrunner.Te... |
import os
import pickle
import click
import numpy as np
import pandas as pd
@click.command("predict")
@click.argument("input-dir")
@click.argument("model-dir")
@click.argument("output-dir")
def predict(input_dir: str, model_dir: str, output_dir: str):
data = pd.read_csv(os.path.join(input_dir, "data.csv"), index... |
"""
Unit-tests for the types module.
"""
import pandas as pd
import numpy as np
from . import PandasTestCase
import doctest
import unittest
from texthero import _types
"""
Doctests.
"""
def load_tests(loader, tests, ignore):
tests.addTests(doctest.DocTestSuite(_types))
return tests
class TestTypes(Panda... |
# Test04.py
print('너의 이름은...')
a=input()
print("%s 님 어서와 여기는 처음이지" % a)
|
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity
engsentenceembedding = open('','r')
desentenceembedding = open('','r')
# process sentence embedding file
engsent = []
desent = []
for line in engsentenceembedding:
word = ''
vectorlist = []
for char in line:
if ... |
# Starting point for lab06, CMPSC 8, S18
import pytest
# The following function is copied from a previous lab, both as an
# example of how to check for type, and because it is generally useful
def isList(x):
"""
check whether parameter is a list
"""
return "stub"
# @@@ READ OVER THIS FUNCTION---T... |
# -*- coding: utf-8 -*-
"""
aes128 encryption handler module.
"""
from cryptography.fernet import Fernet
import pyrin.configuration.services as config_services
from pyrin.security.encryption.decorators import encrypter
from pyrin.security.encryption.handlers.base import SymmetricEncrypterBase
@encrypter()
class AE... |
from django.apps import AppConfig
class SortingalgorithmsConfig(AppConfig):
name = 'sortingAlgorithms'
|
def my_func():
print("Hey I am in module.py") |
categories = {
1:'amazon-devices',
2:'boost',
3:'appliances',
4:'mobile-apps',
5:'arts-crafts',
6:'audible',
7:'automotive',
8:'baby-products',
9:'beauty',
10:'books',
11:'music',
12:'photo',
13:'wireless',
14:'fashion',
15:'coins',
16:'pc',
17:'digital-educational-resources',
18:'electronics',
1... |
from collections import Counter
from typing import Dict, List
def count_lanternfish(contents: List[str], days: int = 80) -> int:
"""Count number of lanternfish after certain days given initial population.
Args:
contents (List[str]): the file contents
days (int, optional): number of days to co... |
"""
This configuration file contains data required for testing
scientific pygaps functions on real or model data.
In this file there are:
- references to sample isotherm files
"""
from pathlib import Path
DATA_PATH = Path(__file__).parent.parent.parent / 'docs' / 'examples' / 'data'
DATA_IAST_PATH = DATA_PATH /... |
"""
Example of solving a Kaggle problem using schemaflow's API.
This script performs an end-to-end analysis and prediction of the Kaggle exercise
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
It demonstrates the advantages of explicitly declaring the types in the Pipe (using Schemaflow's API).
... |
from django.contrib import admin
from .models import Pessoa, Fisica, Juridica, Contato, Telefone
admin.site.register(Pessoa)
admin.site.register(Fisica)
admin.site.register(Juridica)
admin.site.register(Contato)
admin.site.register(Telefone)
|
# -*- coding: utf-8 -*-
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import os
import unittest
import gevent
from ava.spi.defines import AVA_USER_XID, AVA_AGENT_SECRET
from ava.runtime import settings
from ava.core.agent import Agent
class AgentTest(un... |
import json
import pyautogui
with open('output.json') as json_file:
data = json.load(json_file)
# print(data)
while True:
for d in data:
type = d['type']
args = d['args']
if type == "mouse_moveTo":
x = int(args[0])
y = int(args[1])... |
from flask import Blueprint, render_template, abort, request
import numpy as np
import json
eos_routes = Blueprint('eos', __name__, template_folder='templates')
@eos_routes.route('/eos')
def eos():
return render_template('eos/eos.html')
@eos_routes.route('/eos/t-s', methods=['GET', 'POST'])
def ts():
if r... |
#!/usr/bin/env python
# coding:utf-8
import rospy
import time
from super_minitaur.msg import ImuMsg
from super_minitaur.msg import LegControlMsg
from super_minitaur.msg import FourLegCurrentMsg
from super_minitaur.msg import FourLegPosMsg
import numpy as np
from settings import *
from math import *
class InitStand:
... |
import numpy
import cv2
def Crop(image, rectangle):
"""
Returns cropped image.
Args:
image: Bitmap
rectangle: Rectangle
Returns:
Bitmap
"""
h, w, _ = image.shape
x0 = max(min(w, rectangle[0]), 0)
x1 = max(min(w, rectangle[2]), 0)
y0 = max(min(h, rectangle[1... |
import unittest
import attr
import lxml.etree
from xmlunittest import XmlTestMixin
from flask_saml2.idp.xml_templates import AssertionTemplate, ResponseTemplate
from flask_saml2.signing import RsaSha1Signer, Sha1Digester, SignatureTemplate
from flask_saml2.types import XmlNode
from flask_saml2.utils import (
cert... |
import numpy as np
a3 = np.array([ [
[10, 11, 12], [13, 14, 15], [16, 17, 18]
],
[
[20, 21, 22], [23, 24, 25], [26, 27, 28]
],
[
[30, 31, 32], [33, 34, 35], [36, 37, 38]
]
... |
#!/bin/python
import listify_circuits
listify_circuits.optimize_circuits(36, 'forward') |
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 13 20:54:20 2021
@author: levon
"""
import numpy as np
from Moments import MomentSolver
def UpdateLattice(mom,a):
dB = [-.18236*a[1], .213640*a[3], -.18236*a[5]]
qstart = [0.00425*a[0], 0.10655*a[2], 0.20895*a[4]]
qend = [qstart[0]+0.01, qstart[1]+0.01, qst... |
import pytest
from unittest import mock
from lxml import etree
from share.harvesters.oai import OAIHarvester
from tests import factories
@pytest.mark.django_db
class TestOAIHarvester:
OAI_DC_RECORD = etree.fromstring('''
<record xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
xmlns... |
#! /usr/bin/env python
# GPTune Copyright (c) 2019, The Regents of the University of California,
# through Lawrence Berkeley National Laboratory (subject to receipt of any
# required approvals from the U.S.Dept. of Energy) and the University of
# California, Berkeley. All rights reserved.
#
# If you have questions ab... |
import unittest
from .django.schema1 import schema
class SchemaTest(unittest.TestCase):
def setUp(self):
self.schema_documentation = schema.get_documentation()
def _search_schema(self, root=None, **criteria):
if root is None:
root = self.schema_documentation
if isinstanc... |
import tensorflow as tf
import numpy as np
from guide import get_critic,get_guide
|
import chainer
import numpy as np
# https://github.com/shelhamer/fcn.berkeleyvision.org/blob/master/surgery.py
def _get_upsampling_filter(size):
"""Make a 2D bilinear kernel suitable for upsampling"""
factor = (size + 1) // 2
if size % 2 == 1:
center = factor - 1
else:
center = factor ... |
from typing import Dict
from typing import List
from typing import Union
from pydantic import BaseModel
class Post(BaseModel):
id: int
title: str
content: str
image: str
class Config:
orm_mode = True
class JsonApiResponse(BaseModel):
data: Union[Dict, List[Dict]]
ok: bool = Tru... |
import argparse
import sys
import os
import errno
import shutil
import tensorflow as tf
layers = tf.layers
import numpy as np
import horovod.tensorflow as hvd
import socket
FLAGS = None
default_batchsize = 16
input_height = 480
input_width = 640
n_classes = 10
display_step = 1
filter_size = 3
depth_in = 3
depth_out1 ... |
import os.path
import tempfile
import pytest
import acdb
def driver_easy_case(driver):
driver.set('name', b'acdb')
assert driver.get('name') == b'acdb'
assert driver.all() == ['name']
driver.rm('name')
with pytest.raises(Exception):
driver.get('name')
def emerge_easy_test(emerge):
... |
#!/usr/bin/env python
from setuptools import setup
def readme():
with open('README.rst') as f:
return f.read()
setup(name='yahoo_fantasy_api',
version='2.4.0',
description='Python bindings to access the Yahoo! Fantasy APIs',
long_description=readme(),
url='http://github.com/spil... |
# -*- coding: utf-8 -*-
from sage.functions.other import floor
from sage.matrix.constructor import Matrix
from sage.rings.integer import Integer
from sage.rings.rational_field import Q as QQ
from sage.symbolic.relation import solve as _solve
from sage.symbolic.ring import SR
from .array3d import Array3D
from .assoc_sch... |
from django.db import models
# create models here
|
from ...common_descs import *
from .objs.tag import HekTag
from supyr_struct.defs.tag_def import TagDef
color = Struct("color",
ascii_str32('name'),
QStruct("color", INCLUDE=argb_float),
SIZE=48,
)
colo_body = Struct("tagdata",
reflexive("colors", color, 512, DYN_NAME_PATH='.name'),
... |
import unittest
from pyalgs.algorithms.graphs.topological_sort import DepthFirstOrder
from tests.algorithms.graphs.util import create_dag
class DepthFirstOrderUnitTest(unittest.TestCase):
def test_topological_sort(self):
G = create_dag()
topological_sort = DepthFirstOrder(G)
print(' =>... |
"""
Plot histograms
"""
from numpy import array
from numpy import dstack
from numpy import unique
from pandas import read_csv
from matplotlib import pyplot
# load a single file as a numpy array
def load_file(filepath):
dataframe = read_csv(filepath, header=None, delim_whitespace=True)
return dataframe.values
... |
import tensorflow as tf
import os
import glob
import zipfile
import time
from datetime import datetime
import wget
import pathlib
# need to be installed for program to run:
# PIL is now Pillow
# import PIL
# import scipy
# remove warning for cpu
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
ImageDataGenerator = tf.keras.... |
##########################################################################
#
# Copyright (c) 2017, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistrib... |
"""Defines WebotsVehicle Class"""
from coordinate_system import CoordinateSystem
class WebotsVehicle(object):
"""WebotsVehicle class defines user configurable vehicle to use in Webots environment"""
CITROEN_C_ZERO = 201
CITROEN_C_ZERO_SIMPLE = 202
TOYOTA_PRIUS = 203
TOYOTA_PRIUS_SIMPLE = ... |
# Note - this code must run in Python 2.x and you must download
# http://www.pythonlearn.com/code/BeautifulSoup.py
# Into the same folder as this program
import re
import urllib
from BeautifulSoup import *
url = raw_input('Enter - ')
c_input = raw_input('Enter count: ')
p_input = raw_input('Enter position: ')
if len(... |
import pytest
from unittest import mock
from .utils import (
init_app, init_db, clean_db,
add_flow, add_run, add_artifact,
add_step, add_task, add_metadata,
_test_list_resources, _test_single_resource
)
pytestmark = [pytest.mark.integration_tests]
# Fixtures begin
@pytest.fixture
def cli(loop, aiohtt... |
from typing import TYPE_CHECKING
import os
import peewee
from .constants import NAME_SQLITE, RequestState
from .exceptions import StartupError
if TYPE_CHECKING:
from .application import ApplicationState
database_proxy = peewee.DatabaseProxy()
class BaseModel(peewee.Model):
class Meta:
database = ... |
'''
Extracts speech features and saves as spectrogram images
I want to see if
MFCC vs FBANK vs STFT
work better/worse for 1) speech recognition 2) gender classification 3) handling noise
Do a check to ensure no ids are in the same groups... (ie. mixing of data in labels)
'''
import time
import os, errno
import p... |
from yggdrasil.languages.Python.YggInterface import YggRpcClient
def model_function(in_buf):
# The global_scope keyword is required to ensure that the comm persists
# between function calls
rpc = YggRpcClient('server_client', global_scope=True)
print("client(Python): %s" % in_buf)
ret, result = rp... |
#!/usr/bin/python
import sys
import subprocess
import os
import math
import string
from rnaseq_align_and_qc import *
def make_track_file(sample_info_file, path_start, aligner):
runs = get_sample_info(sample_info_file)
outp = open(path_start+"ucsc_track_names.txt", "w")
output_url = "http://public.himeslab.org/"
... |
# Copyright 2021 AIPlan4EU 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 wri... |
import sys
import time
import threading
from twisted.internet import reactor
sys.path.append('.')
import marionette_tg.channel as channel
class ServerThread(threading.Thread):
def run(self):
print 'Starting server...'
self.channel_ = None
while True:
ch = channel.accept_new_... |
from django.conf.urls import url,include
from .views import CommentView,InfoView
urlpatterns = [
url(r'^amazon/info/(?P<isbn13>\d+)/$',CommentView.as_view()),
url(r'^amazon/comments/(?P<isbn13>\d+)/$',InfoView.as_view()),
] |
#!/usr/bin/env python
__author__ = ('Francesco Asnicar (f.asnicar@unitn.it), '
'Francesco Beghini (francesco.beghini@unitn.it), '
'Mattia Bolzan (mattia.bolzan@unitn.it), '
'Nicola Segata (nicola.segata@unitn.it)')
__version__ = '3.0.18'
__date__ = '27 November 2020'
import... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from... |
class TimeTrigger:
def __init__(self, game, creation_time, duration, callback):
self.game = game
self.creation_time = creation_time
self.duration = duration
self.callback = callback
def check(self):
if (self.game.time - self.creation_time) < self.duration:
se... |
#!/usr/bin/python
import mechanize
import re
from bs4 import BeautifulSoup
import json
import urllib
from sys import exit
from optparse import OptionParser
import os
from getpass import getpass
import codecs
import io
# Options parsing constants
OUTPUT_FILEPATH_VAR="output_filepath"
NOTE_SORT_TYPE_VAR="note_sort_type... |
"""
@Project : DuReader
@Module : word_index.py
@Author : Deco [deco@cubee.com]
@Created : 5/16/18 5:46 PM
@Desc :
"""
from collections import Counter
def word_index():
word2index = {}
index2word = {}
vocab = ['word', 'another']
# vocab = list({'word', 'another'})
for i, word in en... |
#!/usr/bin/env python
TEST_PROG = """
nop +0
acc +1
jmp +4
acc +3
jmp -3
acc -99
acc +1
jmp -4
acc +6
"""
def parse_prog(lines):
lines = lines.strip().split("\n")
def parse_op(op, val):
return (op, int(val))
prog = [parse_op(*line.strip().split()) for line in lines]
return prog
def run_mo... |
# ██╗░░░░░██╗███╗░░██╗░██████╗░░░░██████╗░██╗░░░░░░█████╗░░█████╗░██╗░░██╗
# ██║░░░░░██║████╗░██║██╔════╝░░░░██╔══██╗██║░░░░░██╔══██╗██╔══██╗██║░██╔╝
# ██║░░░░░██║██╔██╗██║██║░░██╗░░░░██████╦╝██║░░░░░███████║██║░░╚═╝█████═╝░
# ██║░░░░░██║██║╚████║██║░░╚██╗░░░██╔══██╗██║░░░░░██╔══██║██║░░██╗██╔═██╗░
# ███████╗██║██... |
from __future__ import unicode_literals
import re
from django.db import models
# from fantasy import lineup, standings, team
TEAM_URL = 'http://games.espn.go.com/ffl/clubhouse?leagueId={league}' \
'&teamId={team}&seasonId={season}'
STANDINGS_URL = 'http://games.espn.go.com/ffl/standings?leagueId={league}' ... |
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
with open('README.rst') as f:
readme = f.read()
with open('LICENSE') as f:
license = f.read()
setup(
name='grammar_school',
version='0.1.0',
description='Hopefully a well-constructed Python package',
long_descripton=readme,
... |
import os
import aiohttp
from pyrogram import Client, filters
from pyrogram.types import InlineKeyboardButton, InlineKeyboardMarkup, InlineQueryResultArticle, InputTextMessageContent
from pyshorteners import Shortener
BITLY_API = os.environ.get("BITLY_API", None)
CUTTLY_API = os.environ.get("CUTTLY_API", None)
SHORTC... |
from django.conf.urls import url
from posts import views
# Create your views here.
urlpatterns = [
#url(r'^$',
# views.home,
# name='blog_home'
# ),
#
#url(r'^page/(?P<page>\d+)/{0,1}$',
# views.home,
# name='blog_home'),
#
url(r'^cat... |
import sys
sys.path.append("/home/ming/gittest/GraphGAN_数据半采样半SDNE/src/evaluation")
from evalne.evaluation.evaluator import LPEvaluator
from evalne.evaluation.split import EvalSplit
from evalne.evaluation.score import Scoresheet
from evalne.utils import preprocess as pp
import scipy.io as scio
import numpy as np
def ... |
from rest_framework import permissions
from backend import models
class IsKit(permissions.BasePermission):
"""
The user is a Kit.
"""
def has_object_permission(self, request, view, obj):
return isinstance(request.user, models.Kit)
class IsObjectRequested(permissions.BasePermission):
"""
... |
# -*- coding:utf-8 -*-
'''
@Author: LiamTTT
@Email: nirvanalautt@gmail.com
@Project: TCTPreprocess
@File: sampling.py
@Date: 2021/9/17
@Time: 上午9:53
@Desc: sampling according to voc annotations xml file.
'''
import cv2
import numpy as np
def sampling(bnd, source, src_type):
""" Sampling tile from source. The sou... |
import nextapm.lib.logger as logger
from nextapm.lib.util import validateConfig
from nextapm.lib.constants import *
import os
import json
import requests
def sendData(data):
if not validateConfig():
return
if data is None or type(data) is not dict:
logger.error('[sendData] empty data passed'... |
#####################################################################
# #
# zlock.py #
# #
# Copyright 2013, Monash University ... |
# Author: Roi Yehoshua
# Date: July 2020
from collections import defaultdict
class TDPrediction():
"""Temporal difference prediction for estimating the state value function"""
def __init__(self, env, policy, gamma, alpha, n_episodes, max_episode_len=None):
"""
:param env: an instance of gym env... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from openpyxl import utils
import pandas as pd
import requests
import json
"""
# Purpose
Convert source variable contained in str variable to destination variable.
"""
def util_replace(text, source, destination):
# if text has source
if text.find(s... |
from django.apps import AppConfig
class NoticeConfig(AppConfig):
name = 'segmentfault.apps.notice'
|
# The MIT License (MIT)
#
# Copyright (c) 2017 Dean Miller for Adafruit Industries.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rig... |
from collections import defaultdict
from typing import Dict, List
import networkx as nx
import numpy as np
from grams.algorithm.data_graph import CellNode
from grams.algorithm.literal_match import TextParser
from grams.algorithm.semantic_graph import SGColumnNode
from grams.inputs.linked_table import LinkedTable
from... |
# -*- coding: utf-8 -*-
# Copyright 2018 The Blueoil 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
#
# Unles... |
from setuptools import setup, find_packages
setup(
name='annuity_lib',
packages = find_packages(),
)
|
from .util import *
def test_banchi():
write_item("\r\n".join([
'01106,"005 ","0050865","ﾎｯｶｲﾄﾞｳ","ｻｯﾎﾟﾛｼﾐﾅﾐｸ","ﾄｷﾜ(1-131ﾊﾞﾝﾁ)","北海道","札幌市南区","常盤（１〜１３１番地）",1,0,0,0,0,0',
'01106,"005 ","0050840","ﾎｯｶｲﾄﾞｳ","ｻｯﾎﾟﾛｼﾐﾅﾐｸ","ﾌｼﾞﾉ(400､400-2ﾊﾞﾝﾁ)","北海道","札幌市南区","藤野（４００、４００−２番地）",1,0,0,0,0,0',
'011... |
import os
import sys
from mock import Mock
sys.modules['ROOT'] = Mock()
from lobster.core.data import task
class TestCommands(object):
def test_expansion(self):
cmd = ["foo", "@inputfiles", "--some-flag"]
args = ["-a"]
infiles = ["bar", "baz"]
outfiles = []
result = ["f... |
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