content stringlengths 5 1.05M |
|---|
from premade import *
from gen import *
from pdataset import *
from sprite import *
from sprites import *
import premade
import gen
import dataset
import sprite
import sprites
|
from setuptools import setup
import fcm
version = fcm.VERSION
requires = [
'Django==1.10.5',
'djangorestframework>=3.3.1',
'mock==1.0.1',
'pytz==2015.4',
'requests==2.7.0',
]
setup(name='django-fcm-android-ios',
version=version,
author='Ashish and Sunit',
author_email='developerbywee... |
from typing import Optional, Dict, Any, List
from overrides import overrides
import torch
from allennlp.modules.token_embedders import PretrainedTransformerEmbedder, TokenEmbedder
from allennlp.nn import util
from allennlp_models.common.pretrained_transformer_masking_embedder import PretrainedTransformerMaskingEmbed... |
from caffe2.python import core, workspace
from caffe2.proto import caffe2_pb2
import time
SHAPE_LEN = 4096
NUM_ITER = 1000
GB = 1024 * 1024 * 1024
NUM_REPLICAS = 48
def build_net(net_name, cross_socket):
init_net = core.Net(net_name + "_init")
init_net.Proto().type = "async_scheduling"
numa_device_op... |
import numpy as np
def force_closure(contact,normals,num_facets,mu,gamma):
c1 = contact[:,0]
c2 = contact[:,1]
f1 = normals[:,0]
f2 = normals[:,0]
v = (c2-c2).astype(float)
theta1 = np.arccos((f1.dot(v))/(np.linalg.norm(f1)*np.linalg.norm(v)))
theta2 = np.arccos((f2.dot(-v))/(np.linalg.norm(f2)*np.linalg.norm(-... |
from balebot.models.messages.banking.bank_message import BankMessage
from balebot.filters.filter import Filter
class BankMessageFilter(Filter):
def match(self, message):
if isinstance(message, BankMessage):
return self.validator(message) if self.validator else True
else:
re... |
from django.urls import path, include
from social.views import *
urlpatterns = [
path('profile/<str:username>/', ProfileViewSet.as_view()),
path('profile/', ProfileViewSet.as_view()),
path('change-pic/', SetProfilePicViewSet.as_view()),
path('pictures/', PaginationApiView.as_view()),
path('picture... |
""" Contains implementation for raw resample.
"""
import logging
import matplotlib.pyplot as plt
import numpy as np
from meggie.utilities.messaging import messagebox
from meggie.utilities.messaging import exc_messagebox
from meggie.utilities.threading import threaded
from meggie.actions.raw_resample.dialogs.resampli... |
from flask_wtf import FlaskForm
from wtforms import SubmitField, DecimalField
from wtforms.fields.html5 import DateField
from wtforms.validators import DataRequired
from datetime import datetime
class MaxesForm(FlaskForm):
squat = DecimalField("Squat Max", validators=[DataRequired()], default=315.0)
bench = D... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2015 mengskysama
# Copyright 2016 Howard Liu
#
# 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/LIC... |
import numpy
from chainer.backends import cuda
from chainer import function_node
from chainer.utils import type_check
class ResizeImages3D(function_node.FunctionNode):
def __init__(self, output_shape):
self.out_H = output_shape[0]
self.out_W = output_shape[1]
self.out_D = output_shape[2]... |
"""File containing functions for the creation of transactions, input and output scripts."""
import struct
from construct import Byte
from construct import Bytes
from construct import StaticField
from construct import Struct
from construct import UBInt32
def create_input_script(psz_timestamp):
"""Using a timestam... |
def get_names():
print('Please enter your first name:')
first_name = input()
print('Please enter your first name:')
second_name = input()
print('Please enter your first name:')
last_name = input()
print('{} {} {}'.format(first_name, second_name, last_name))
if __name__ == '__main__':
... |
from enum import Enum
class CMD_RES(Enum):
OK = 0
ERR = 1
WAIT = 2
|
import csv
def save_file(data, filename):
"""Save data as csv.
Args:
data (list of lists): Data to save.
filename (str): Name of the file.
Examples:
>>> data = [['0.0416667', '443', '205'], ['0.0833333', '444', '206']]
>>> save_file(data, 'file.csv')
>>> ... |
import uuid
from aquascope.webserver.data_access.conversions import group_id_to_container_name
from aquascope.webserver.data_access.storage.blob import (exists, create_container, upload_blob, generate_download_sas,
make_blob_url)
EXPORT_SAS_EXPIRY_MINUTES = 14... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import fhqtest
import libtestknowledgebase
try:
fhqtest.init_enviroment()
libtestknowledgebase.run_tests()
finally:
fhqtest.deinit_enviroment() |
nombre = raw_input ("Dame tu nombre")
print "Hola" + nombre
print "Como estas?" + nombre
Estas = raw_input ("Dime como estas")
print "yo tambien estoy" + "Bien" + nombre
print "cuantos anios tienes?" + nombre
Edad = raw_input ("edad")
print "mi edad es de 25 minutos"
respuesta = raw_input ("Que piensas de mi edad?")
... |
#!/usr/bin/env python
# -*- encoding: UTF-8 -*-
'''
@File : base_bs4.py
@Time : 2021/02/24 15:42:38
@Author : Kearney
@Contact : 191615342@qq.com
@Desc : 在base的基础上，使用bs4提取Bing搜索首页的标题
<title>微软 Bing 搜索 - 国内版</title>
'''
import requests
from bs4 import BeautifulSoup
r = requests.get('https://... |
import json
from pathlib import Path
import pytest
from piqe_ocp_lib.api.resources import OcpApps, OcpProjects, OcpServices, OcpTemplates
@pytest.fixture(scope="module")
def ocp_services(get_kubeconfig) -> OcpServices:
return OcpServices(get_kubeconfig)
@pytest.fixture(scope="module")
def ocp_project(get_kube... |
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.forms import ModelForm
import re
|
class Counter:
def __init__(self, low, high):
self.current = low
self.high = high
def __iter__(self):
return self
def next(self):
if self.current > self.high: #Stop condition of iteration
raise StopIteration #Stop condition of iteration
el... |
from wordsiv.sentence_models_sources import WordCountSource, RandomModel
from pathlib import Path
import json
# Assuming installed as directory (zip_safe=False)
HERE = Path(__file__).parent.absolute()
with open(HERE / "meta.json", "r") as f:
meta = json.load(f)
# Sources should always be prefixed with the packa... |
############ 1.8. Decomposição cruzada ############
# O módulo de decomposição cruzada contém estimadores supervisionados para redução e regressão de dimensionalidade, pertencentes à família “Partial Least Squares”.
# https://scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_de... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for the file entry implementation using the CPIOArchiveFile."""
from __future__ import unicode_literals
import unittest
from dfvfs.path import cpio_path_spec
from dfvfs.path import os_path_spec
from dfvfs.resolver import context
from dfvfs.vfs import cpio_file_e... |
from typing import Tuple
import requests
from bs4 import BeautifulSoup
from hospital_types import (
AppointmentAvailability,
ScrapedData,
HospitalAvailabilitySchema,
)
def parse_pch_nantou() -> ScrapedData:
r = requests.get(
"http://web2.pch.org.tw/booking/Covid19Reg/Covid19Reg.aspx?InsType=1"... |
from __future__ import unicode_literals
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Permission
from django.contrib.contenttypes.models import ContentType
from django.core.management import call_command
from django.test import TestCase
User = get_user_model()
class TestFixPr... |
import os
from decouple import config
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = config('SECRET_KEY')
DEBUG = False
#ADMINS = [('christos', 'christosstath10@gmail.com')]
if not DEBUG:
SESSION_COOKI... |
from typing import List
class Solution:
def buildArray(self, target: List[int], n: int) -> List[str]:
res = []
index = 0
for i in range(1, n+1):
res.append('Push')
if i == target[index]:
index += 1
else:
res.append('Pop')
... |
from bar import Bar
from guido_rocks import Google
class Foo(object):
def bar(self):
return 'hello,world'
def yum(self):
bar = Bar()
return bar.mitzvah()
def what_is_love(self,i_am):
bar = Bar()
return bar.give_me_some(i_am)
def go_google(self):
return Google().mobile()
|
import argparse
import logging
import os
import random
import sys
import numpy as np
import torch
import torch.backends.cudnn as cudnn
from torch.cuda import is_available
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
from datasets.dataset import SegmentationDataset
from utils impor... |
#Source https://nft.storage/api-docs/
import requests
# from scipy.io import wavfile
# import argparse
# import numpy as np
import json
import pprint
class NFTStorage:
def get_creds(self):
with open("creds.json") as f:
cred = json.loads(f.read())
return cred["NFTStorage"]
def u... |
from pathlib import Path
import pytest
import toml
import libcnb
@pytest.fixture
def mock_store_path():
yield Path("tests") / "testdata" / "store.toml"
@pytest.fixture
def mock_launch_path():
yield Path("tests") / "testdata" / "launch.toml"
@pytest.fixture
def mock_build_path():
yield Path("tests") ... |
from iso8601 import parse_date
from pyramid.security import Allow
from schematics.transforms import whitelist
from schematics.types import IntType, URLType, BooleanType
from schematics.types import StringType
from schematics.types.compound import ModelType
from zope.interface import implementer, provider
from openproc... |
import pandas as pd
from pandas.api import types as pdt
from visions.backends.pandas.series_utils import series_not_empty, series_not_sparse
from visions.types.time_delta import TimeDelta
@TimeDelta.contains_op.register
@series_not_sparse
@series_not_empty
def time_delta_contains(series: pd.Series, state: dict) -> b... |
# -*- coding: utf-8 -*-
from django.contrib.auth import get_user_model
from django.contrib.auth.password_validation import validate_password
from django.core.exceptions import ValidationError
from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers
from rest_framework_jwt.compat im... |
""" COCO dataset parser
Copyright 2020 Ross Wightman
"""
import numpy as np
from pycocotools.coco import COCO
from .parser import Parser
from .parser_config import CocoParserCfg
class CocoParser(Parser):
def __init__(self, cfg: CocoParserCfg):
super().__init__(
bbox_yxyx=cfg.bbox_yxyx,
... |
from seafileapi.client import SeafileApiClient
def connect(server, username, password):
"""
Connect to Seafile server
:param server: address of the seafile server
:param username: username
:param password: password
:return: :class:`SeafileApiClient`.
"""
seafile_client = SeafileApiClie... |
# Django starts so that shared_task will use this app.
from __future__ import absolute_import
from .celery import app as celery_app
__all__ = ('celery_app',)
|
import hashlib
import json
import shutil
import subprocess
from datetime import datetime
from pathlib import Path
from bson import ObjectId, json_util
from pymongo import MongoClient
from hive.settings import hive_setting
from hive.util.constants import DATETIME_FORMAT
from hive.util.common import did_tail_part, crea... |
import sys
from pathlib import Path
from typing import List
from setuptools import find_packages, setup # type: ignore
assert sys.version_info >= (3, 7, 0), "Requires Python 3.7+"
CURRENT_DIR = Path(__file__).parent
MAJOR = 0
MINOR = 0
MICRO = 3
NAME = "scrapefruit-jfk"
VERSION = f"{MAJOR}.{MINOR}.{MICRO}"
def... |
###
# Copyright (c) 2018, cottongin
# Copyright (c) 2020, oddluck <oddluck@riseup.net>
# All rights reserved.
#
# 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 ... |
from keras.preprocessing import image
from tqdm import tqdm
import numpy as np
from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
def path_to_tensor(img_path):
# loads RGB image as PIL.Image.Image type
img = image.load_img(img_path, target_size=(224, 224))
# convert PIL.Image.Image type to 3... |
# Retrieve the version number of methpat from the setup.py file.
# This solution was suggested on Stack Overflow:
# http://stackoverflow.com/questions/2058802/how-can-i-get-the-version-defined-in-setup-py-setuptools-in-my-package
import pkg_resources # part of setuptools
methpat_version = pkg_resources.require("meth... |
from django.conf.urls import url
from django.contrib import admin
from django.urls import reverse
from django.contrib.auth import views as auth_views
from ravens_metadata_apps.raven_auth import views, views_login #, get_extra_context
urlpatterns = [
#url(r'^login/$', auth_views.login, name='login'),
url(r'sign... |
from django.db import models
from django.contrib.auth.models import AbstractUser
from django_fields import DefaultStaticImageField
# Create your models here.
class Profile(AbstractUser):
start_year=models.CharField(max_length=200, null=True)
sex= models.CharField(max_length=5, null=True)
prof... |
import json
from glob import glob
from pathlib import Path
import click
import yaml
from jsonschema import validate
@click.command()
@click.argument("filespecs", nargs=-1)
def validate_recipe(filespecs):
schemajson = (
Path(__file__).parent.parent.parent / "schema/snowfakery_recipe.jsonschema.json"
)... |
# -*- coding: utf-8 -*-
# tomolab
# Michele Scipioni
# Harvard University, Martinos Center for Biomedical Imaging
# University of Pisa
from ...Core.SimpleWrap import find_c_library, load_c_library, localpath, call_c_function, filepath
from ..PetLink import petlink
import numpy as np
import uuid
from IPython.display i... |
# Test quiver-time
import keras as ks
from quiver_engine import server
# Load model
model = ks.models.load_model('models/my_bestmodel-win.h5')
# Launch server
server.launch(model, classes=range(7), input_folder='input/')
|
import cv2
import numpy as np
def open_capture(camera_int, width, height):
capture = cv2.VideoCapture(camera_int)
while True:
if capture.isOpened():
break
capture.open()
capture.set(cv2.CAP_PROP_FRAME_WIDTH, width)
capture.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
return... |
"""
Django settings for testapp project.
Generated by 'django-admin startproject' using Django 2.1.1.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
import os
#... |
"""Defined some middlewears for my app.
Yep, I am sufficiently sloth to make them in my own, so I just copied them from official documentation.
https://docs.aiohttp.org/en/stable/web_advanced.html#middlewares
"""
import aiohttp_jinja2
from aiohttp import web
async def handle_404(request):
""" 404-Error handling
... |
# Library imports
import random
# Project imports
from board import Board
from player import HumanPlayer, AiPlayer
from view import View
class Game(object):
def __init__(self, size=3):
"""
Main game logic class
"""
# Initialise vars
self.board = Board(size)
self.... |
class CountryConstants:
ID = None
FLAG = None
MARCH = None
def __init__(self, id, flag, march):
self.ID = id
self.FLAG = flag
self.MARCH = march
GREAT_BRITAIN = CountryConstants(1, "🇬🇧", "For the Queen!!!")
FRANCE = CountryConstants(2, "🇫🇷", "Crush the Bastille... |
import os
import argparse
import matplotlib.pyplot as plt
from data_generators.coco import CocoDataset
from visual_tools import GuiCocoViewer
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Inspect COCO dataset.')
parser.add_argument('-d', '--dataset', required=True,
... |
import torch
import torch.nn as nn
from ..layers.convolutions import Convolutional, Separable_Conv_dila, Separable_Conv, Deformable_Convolutional
import torch.nn.functional as F
from ..layers.attention_blocks import SELayer
class SPP(nn.Module):
def __init__(self, depth=512):
super(SPP,self).__init__()
... |
from platform import platform
import lib.conf
ARM = False
if "arm" in platform(): # nocov
ARM = True
from neopixel import NeoPixel
import board
class Panel:
"""Class representing the Longruner light panel."""
def __init__(self):
"""Construct."""
self.config = lib.conf.config()[... |
# -*- coding: utf-8 -*-
'''
Web Flayer organizer module for JSON-LD Recipes
In order to use this plugin, a ``jsonld_domains`` table needs to be created:
.. code-block:: sql
create table jsonld_domains (domain text unique);
'''
# Python
import json
import urllib
# 3rd party
import requests
from bs4 import Beauti... |
# Ein kleines Script dass anscheinend gerne bei Vorstellungsgesprächen abgefragt wird.
# 1. Es sollen alle Zahlen von 0 bis 100 ausgegeben werden
# 2. Ist die ausgegebene Zahl ein vielfaches von 3, schreibe Fizz
# 3. Ist die ausgegebene Zahl ein vielfaches von 5, schreibe Buzz
# 4. Trifft 2. und 3. zu, schreibe FizzBuz... |
"""Authors: Cody Baker and Alessio Buccino."""
import numpy as np
from pynwb import NWBFile, TimeSeries
from pynwb.epoch import TimeIntervals
from hdmf.backends.hdf5.h5_utils import H5DataIO
from nwb_conversion_tools.datainterfaces.ecephys.baserecordingextractorinterface import BaseRecordingExtractorInterface
from nwb... |
carrier = [0.0, 0.963507348203431, 1.68865585100403, 1.99605345685654, 1.80965410493204, 1.17557050458495, 0.250666467128608, -0.736249105369356, -1.54102648555158, -1.96457450145738, -1.90211303259031, -1.36909421185738, -0.497379774329709, 0.497379774329708, 1.36909421185738, 1.90211303259031, 1.96457450145738, 1.541... |
'''
This script contains general math usefull function
'''
import torch
def arc_cosh(x):
return torch.log(x + torch.sqrt(x**2-1))
def arc_tanh(x):
return 0.5 * torch.log((1+x)/(1-x))
def arc_sinh(x):
x = torch.clamp(x, -2000, 20000)
return torch.log(x +1e-4+ torch.sqrt(x**2 + 1))
torch.arc_cosh =... |
import pytest
from hat.monitor.server import common
infos = [common.ComponentInfo(cid=1,
mid=2,
name='name',
group='group',
address='address',
rank=3,
... |
# -*- coding: utf-8 -*-
import html5lib
from html5lib import sanitizer
DEFAULT_PARSER = html5lib.HTMLParser(tokenizer=sanitizer.HTMLSanitizer)
def _get_inner_body(doc):
# find 'body'
def _rec(node):
if node.type == 5: # Element Type
if node.name == 'body': # the body element
... |
import model_data as md
import pathway_data as pd
from alignment import alignment
from bigg_data import bigg_data
"""
model = md.model_data()
#model.load_model_sbml("iCHOv1_final.xml")
#model.load_model_cobra_sbml("iCHOv1_final.xml")
#model.load_model_mat("gimmeDG44.mat")
model.load_model_mat("gimmeS.mat")
#model.load... |
# Copyright 2015 OpenStack Foundation
#
# 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 ... |
import logging
from django.db import connections, transaction, DEFAULT_DB_ALIAS
from usaspending_api.awards.models import TransactionNormalized
from usaspending_api.etl.award_helpers import update_awards
from usaspending_api.broker.helpers.find_related_awards import find_related_awards
logger = logging.getLogger("c... |
import argparse
import datetime
import matplotlib.pyplot as plt
import pandas as pd
from pandas.plotting import register_matplotlib_converters
from TimeSeriesCrossValidation import splitTrain
from sklearn import linear_model
from sklearn import pipeline
from sklearn import preprocessing
from gamestonk_terminal.helper_... |
#escreva um programa que leia um numero n inteiro qualquer e mostre na tela os n primeiros
#elementos de uma sequencia de Fibonacci.
numero=int(input("Digite quantos termos voce quer: "))
t1=0
t2=1
print("{} -> {} ->".format(t1,t2),end=" ")
t3=t1+t2
contador=3
while contador<=numero:
t3=t1+t2
print("... |
import _thread
import os
import pycom
import GpsSIM28
import strings as s
from Configuration import config
from loggingpycom import CRITICAL, DEBUG, ERROR, INFO, WARNING
from PM_read import pm_thread
from RtcDS1307 import clock
def initialise_time(rtc, gps_on, logger):
"""
Acquire UTC timestamp from RTC modu... |
from persistencia.ventas_reporsitorio import Vemtas_Repositorio
from datetime import datetime, timedelta
class Mediciones:
def obtener_ventas_dia(self):
return Vemtas_Repositorio().obtener_ventas_por_dia()
def obtener_total_genero(self):
vr = Vemtas_Repositorio().obtener... |
# E.g. ApplicationCommunicationMessages -> application-communication-messages
def pascal_to_kebab(input):
kebab_cased = ""
for idx in range(len(input)):
letter = input[idx]
if idx == 0:
kebab_cased += letter.lower()
elif letter.isupper():
kebab_cased += "-" + le... |
from bs4 import BeautifulSoup
from bs4.builder import HTMLTreeBuilder
import requests
import wikipedia
import csv
import re
wikipedia.set_lang("ru")
def get_all_waterfalls_from_csv():
all_waterfalls = []
with open("waterfalls_database.csv","r",encoding="utf-8") as f:
fields = ['title', 'summary', 'url'... |
#!/usr/bin/python3
import sys
import time
import os
import importlib
import requests
import logging
from prometheus_client import start_http_server
from prometheus_client.core import REGISTRY
from optparse import OptionParser
from tools.helper import yaml_read
def default_collectors():
collector_config = yaml_rea... |
from django.http import HttpResponseRedirect
from django.shortcuts import render, redirect
from django.views.generic import FormView
from django.views.generic.base import View
from master.forms import ContactQueryForm
from .models import ContactQuery
def home(request):
return render(request, "master/homepage.html... |
# Generated by Django 3.0.9 on 2020-08-14 13:25
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('shopping', '0014_auto_20200814_1138'),
]
operations = [
migrations.RemoveField(
model_name='pri... |
import pygame as pg
from game import settings
from game.map import colorMap
from game.resources import resourceManager
import time
class Menu:
"""
This class manages the displays inbetween playing the game, like selecting a map,
gameover screen and finish screen.
"""
def __init__(self, dis... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os.path as osp
import argparse
from utils import BasicDataset
from proposals import generate_basic_proposals, generate_iter_proposals
def parse_args():
parser = argparse.ArgumentParser(description='Generate Proposals')
parser.add_argument("--name",
... |
# -> Assignment - 3.1
# -> myreduce function
# -> Input the parameters
print("-> Input")
number = int(input("-> Enter a Number : "))
# -> function defined
def myreduce(number):
num_list = list(range(1,number+1))
even_numbers = filter(lambda x:(x%2==0),num_list)
return even_numbers
# -> F... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 9 19:33:06 2019
This is the Extract Module for my ETL code.
It must satisfy the following contract:
1. Accept a query_date, S3 resource instance, a local temp space,
and a bucket name as inputs
2. read sample-extract-output.csv from... |
# AUTOGENERATED! DO NOT EDIT! File to edit: cycleGAN.ipynb (unless otherwise specified).
__all__ = ['AutoTransConv', 'trans_conv_norm_relu', 'pad_conv_norm_relu', 'conv_norm_relu', 'ResBlock', 'generator',
'discriminator', 'cycleGAN', 'DynamicLoss', 'CycleGANLoss', 'cycleGANTrainer']
# Cell
from ModernArch... |
from matplotlib.ticker import ScalarFormatter
class SeqFormatter(ScalarFormatter):
def __init__(self, start=0, **kwargs):
self.start = start
super(SeqFormatter, self).__init__(**kwargs)
return
def func(self, x, pos=None):
x -= self.start
if x <= 0:
x += 1
... |
# pylint: disable=too-few-public-methods
from .CatsParseException import CatsParseException
class Scope:
"""Tuple composed of filename and line number"""
def __init__(self, name):
self.name = name
self.line_number = 0
class ScopeManager:
"""Manages the current scope composed of filename ... |
# run this using
# mpiexec [MPI EXEC PARAMETERS] python -m mpi4py.futures wowp_mpi_run_wf.py
# running on localhost with 4 processes
# mpiexec -n 4 python -m mpi4py.futures wowp_mpi_run_wf.py
import json
import datetime
from wowp.actors import AnnotateInp, FuncActor, LoopWhile, DictionaryMerge
from wowp.schedulers im... |
#!/usr/local/bin/python
# ---------------------------------------------------
# Azubu Notification Bot v1 for Reddit by Vangogh500
# ---------------------------------------------------
# import all necessary libraries
import praw
import time
from datetime import datetime
import urllib2
# the main variables
USERNAME... |
CENTRALIZED = False
EXAMPLE_PAIR = "WETH-DAI"
DEFAULT_FEES = [0., 0.]
USE_ETHEREUM_WALLET = True
FEE_TYPE = "FlatFee"
FEE_TOKEN = "ETH"
USE_ETH_GAS_LOOKUP = True
|
import lens, trace
New_Lens = lens.Lens(lens_name='doublet',creator='XF')
New_Lens.lens_info()
New_Lens.add_wavelength(wl = 656.30)
New_Lens.add_wavelength(wl = 587.60)
New_Lens.add_wavelength(wl = 486.10)
New_Lens.list_wavelengths()
New_Lens.add_field(angle=0)
New_Lens.add_field(angle=5)
New_Lens.add_field(angle=... |
from django.shortcuts import render
from django.http import HttpResponse
from django.shortcuts import get_object_or_404
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from . models import employees
from . serializers import employeesSerializer
c... |
"""
Estimates likelihood of generated data using kernel density estimation
Author(s): Wei Chen (wchen459@umd.edu)
"""
import numpy as np
from utils import optimize_kde, mean_err
def mean_log_likelihood(X_gen, X_test):
X_gen = X_gen.reshape((X_gen.shape[0], -1))
X_test = X_test.reshape((X_test.shape[0], -1))... |
from pmaf.pipe.factors._metakit import FactorBackboneMetabase
class FactorBase(FactorBackboneMetabase):
""" """
def __repr__(self):
class_name = self.__class__.__name__
repr_str = "<{}:, Factors:[{}], Externals:[{}]>".format(class_name,len(self.factors),len(self.externals))
return repr... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 24 12:13:11 2013
@author: edouard.duchesnay@cea.fr
@author: benoit.da_mota@inria.fr
@author: jinpeng.li@cea.fr
Introduction
------------
The library Epac can create an Epac tree for machine learning algorithms.
This example shows how to compute Ep... |
#! /usr/bin/env python
# -*- coding:UTF-8 -*-
import heapq
# 大数据序列合并,未排好序，只生成当前最小值
# 单纯合并没什么优势啊？
def merge(*subsequences):
heap = [] # 临时列表
for seq in subsequences:
iterator = iter(seq)
for current_value in iterator:
heap.append((current_value, iterator))
break
hea... |
import os
from .BaseDataset import BaseDataset
from PIL import Image
class SRDataset(BaseDataset):
def __init__(self, root, cfg, is_train=True):
super(SRDataset, self).__init__(cfg, is_train)
root = os.path.abspath(root)
data_root = os.path.join(root, 'train' if is_train else 'test')
... |
from flask_wtf import FlaskForm
from wtforms import StringField, IntegerField, PasswordField, SubmitField, SelectField, BooleanField
from flask_wtf.file import FileField, FileAllowed, FileRequired
from wtforms.validators import ValidationError, DataRequired, Email, EqualTo
class LoginForm(FlaskForm):
account_id = ... |
"""
Global tuple to avoid make a new one each time a method is called
"""
my_tuple = ("London", 123, 18.2)
def city_tuple_declaration():
city = ("Rome", "London", "Tokyo")
return city
def tuple_get_element(index: int):
try:
element = my_tuple[index]
print(element)
except IndexError:
... |
import asyncio
class CoroutineUtil(object):
@staticmethod
async def run(coroutine):
try:
return await coroutine
except:
pass
@staticmethod
async def run_with_retries(coroutine):
curr = 0
max = 3
while curr < max:
try:
... |
"""Module for SimulatorBase class."""
from __future__ import annotations
from ..Configuration import Configuration
from ..runner.RunResults import RunResults
class SimulatorBase(object):
"""Generic Simulator interface."""
def __init__(self, name: str) -> None:
"""
Initialize new SimulatorBas... |
# Copyright 2018 IBM Corp.
#
# 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, s... |
import server.app.tictactoeserver as tttServerMod
server = tttServerMod.TicTacToeServer("localhost", 7777, identifier="OMEGA-", syncServer=["ALPHA-TicTacToeServer", "EPSILON-TicTacToeServer"])
server.start() |
import augeas
import os
import sys
import shutil
import re
import fnmatch
from collections import OrderedDict
import express_utils
from express_utils import LOGGER
from express_utils import APACHE_SERVICES
from express_utils import replace_chars
class ParserException(Exception):
def __init__(self, message, direc... |
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