content stringlengths 5 1.05M |
|---|
from __future__ import annotations
import socket
from pylivelinkface import PyLiveLinkFace, FaceBlendShape
UDP_PORT = 11111
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
try:
# open a UDP socket on all available interfaces with the given port
s.bind(("", UDP_PORT))
while True:
data, addr... |
import numpy as np
import matplotlib.pyplot as plt
from uncertainties import ufloat
from scipy import optimize
import scipy.constants as const
from scipy.stats import sem
|
import datetime
import uuid
from sqlalchemy import Column, ForeignKey, DDL, event
from sqlalchemy.orm import relationship, backref
from sqlalchemy.dialects.postgresql import TIMESTAMP, TEXT, BYTEA, UUID
from .base import Base
from .users import Users
from .swarms import SwarmHealthStatuses, Swarms
from .apiaries impo... |
from echolib.pyecho import *
double = type('double', (), {})
char = type('char', (), {})
long = type('long', (), {})
_type_registry = {}
def registerType(cls, read, write, convert=None):
if cls.__name__ in _type_registry:
raise Exception("Type %s already registered" % cls.__name__)
_type_registry[cl... |
import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
import pandas as pd
import plotly.express as px
# load in dataset
happiness = pd.read_csv('world_happiness.csv')
# create dash object
app = dash.Dash()
# items in dataset for region column
r... |
# Copyright 2019 PrivateStorage.io, 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 agreed to i... |
#!/usr/bin/env python
"""
Copyright (c) 2016, Meissner Pascal, Schleicher Ralf
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice... |
current = list(map(int, input().split(':')))
target = list(map(int, input().split(':')))
s = current[0]*3600+current[1]*60+current[2]
m = target[0]*3600+target[1]*60+target[2]
h = (m-s)%86400
print(h//36000, h//3600%10,':',h//600%6, h//60%10,':',h//10%6, h%10, sep='')
|
"""Define utility methods for users test_api."""
import binascii
import logging
import os
import secrets
import time
import datetime
from base64 import b64decode
from urllib.parse import quote_plus, urlencode
from django.core.exceptions import SuspiciousOperation
from django.http import HttpResponseRedirect
import j... |
import logging
import warnings
import numpy as np
import os
import typing
from typing import Any, Dict, List, Optional, Text, Tuple
from rasa.utils import io as utils
from rasa.nlu.classifiers import LABEL_RANKING_LENGTH
from rasa.shared.nlu.constants import TEXT
from rasa.nlu.components import Component
from rasa.nlu... |
from gquant.dataframe_flow import Node
class AverageNode(Node):
def process(self, inputs):
"""
Compute the average value of the key column which is defined in the
`column` of the node's conf
Arguments
-------
inputs: list
list of input dataframes.
... |
#!/usr/bin/python
import sys
import os
from eclipse2buck import decorator
from eclipse2buck import config
def get_current_dep_name(file):
if os.path.isdir(file):
return os.path.realpath(file)
else:
return os.path.dirname(os.path.realpath(file))
def get_reference_lists(file):
filename = ge... |
########################################
# Automatically generated, do not edit.
########################################
from pyvisdk.thirdparty import Enum
HostSystemIdentificationInfoIdentifier = Enum(
'AssetTag',
'OemSpecificString',
'ServiceTag',
)
|
import numpy as np
from _svd_lsq import _lsq
def lsq(x, y):
"""
Compute reast square regression.
Parameters
----------
x : np.ndarray (m,1)
y : np,ndarray (1,)
Returns
-------
np.ndarray
Coefficients of OLS model.
"""
x = x.astype(np.float64)
y = y.astype(np.f... |
# The MIT License (MIT)
#
# Copyright © 2021 Maurizio Tomasi
#
# 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 rights to use, copy, mod... |
# https://www.codewars.com/kata/5526fc09a1bbd946250002dc/train/python
# You are given an array (which will have a length of at least 3,
# but could be very large) containing integers. The array is either
# entirely comprised of odd integers or entirely comprised of even
# integers except for a single integer N. Write ... |
from paddlefsl.datasets import CubFS
root = '~/.cache/paddle/dataset'
training_set = CubFS(mode='train', root=root)
validating_set = CubFS(mode='valid', root=root, backend='pil')
def get_item_test():
image, label = training_set[16]
print(image.shape) # (3, 84, 84)
print(image) # A numpy array
image... |
import pytest # noqa
from datar.core.backends.pandas import Interval, DataFrame, Series
from datar.core.backends.pandas.testing import assert_frame_equal
from datar import f
from datar.base.funs import (
cut,
identity,
outer,
make_names,
make_unique,
data_context,
expandgrid,
diff,
... |
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
"""
### Build a model
Each convolution and fully-connected layer (with exception for end layers) consits of
Convolution / Dense -> Batch Normalization -> ReLU Activation.
"""
def conv_bn(x, filters):
x = layers.Conv1D(filt... |
import sys
import numpy as np
from keras.models import Sequential
from keras.layers import Conv1D, Activation
from learning_to_adapt.model.layers import LHUC, FeatureTransform
def parse_nnet1(line_buffer, with_lhuc_layers=False):
components = []
line = next(line_buffer)
assert line.startswith("<Nnet>")
for l... |
from h_pyramid_sentry import report_exception
from kombu.exceptions import OperationalError
from pyramid.events import BeforeRender, subscriber
from h import __version__, emails, storage
from h.events import AnnotationEvent
from h.exceptions import RealtimeMessageQueueError
from h.notification import reply
from h.task... |
import os
import numpy as np
import autofit as af
import autolens as al
from test import integration_util
test_type = "galaxy_fit"
test_name = "deflections"
test_path = "{}/../../".format(os.path.dirname(os.path.realpath(__file__)))
output_path = test_path + "output/"
config_path = test_path + "config"
af.conf.insta... |
# !/usr/bin/env python
# -*- coding:utf-8 -*-
# @Time : 2019/11/10 4:46 PM
# @Author: wuchenglong
import os
import tensorflow as tf
import tensorflow.keras as kr
import tokenization
import helper
class Prediction(object):
def __init__(self):
pass
def _config_(self, model):
"""模型调用的一些配置信息"""
... |
import numpy as np
from paddle import fluid
from interaction.transformer import TransformerDecoder
from interaction.trigger import TriggerController
from perception.common.backbone import MobileNetV2
class AttentionController(object):
def __init__(self,
inputs_type='visual_token',
... |
from setuptools import find_packages, setup
setup(
name="dialogue-generation-models",
version="0.0.1",
description="Pingpong Dialogue Generation Models",
install_requires=[
"torch==1.6.0",
"sentencepiece==0.1.91",
"tensorflow==2.1.0",
"transformers==3.1.0",
],
ur... |
from .test import * # noqa
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': 'test',
'USER': os.environ.get('PG_USER'),
'PASSWORD': os.environ.get('PG_PASSWORD'),
'PORT': '5435', # Postgres 9.5,
# 'PORT': '5436', # Postgres 9.... |
"""
@ Harris Christiansen (code@HarrisChristiansen.com)
Generals.io Automated Client - https://github.com/harrischristiansen/generals-bot
Generals Bot: Common Move Logic
"""
import logging
import random
from . import bot_base
from .client.constants import *
######################### Move Priority Capture ########... |
"""
6-11. Cities: Make a dictionary called cities. Use the names of three cities as keys in your dictionary. Create a
dictionary of information about each city and include the country that the city is in, its approximate population, and
one fact about that city. The keys for each city’s dictionary should be something l... |
import _plotly_utils.basevalidators
class ModebarValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="modebar", parent_name="layout", **kwargs):
super(ModebarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... |
from werkzeug.exceptions import Unauthorized
class UnauthorizedWWWAuthenticate(Unauthorized):
"""
This is a near verbatim copy of an improvement to an as-yet-unreleased upstream version of werkzeug that allows
us to specify a www_authenticate argument containing the contents of that field. We should get r... |
# An interactive table from a Pandas.DataFrame
import qgrid
qgrid.set_grid_option('maxVisibleRows', 5)
# Edit and filter the data
qgrid_widget = qgrid.show_grid(data)
display(qgrid_widget)
# retrieve the filtered and edited data
fltered_data = qgrid_widget.get_changed_df() |
from .ggnn import sparse_ggnn_layer
from .gnn_edge_mlp import sparse_gnn_edge_mlp_layer
from .gnn_film import sparse_gnn_film_layer
from .rgat import sparse_rgat_layer
from .rgcn import sparse_rgcn_layer
from .rgdcn import sparse_rgdcn_layer
from .rgin import sparse_rgin_layer
|
from django.db import models
# Create your models here.
class CreateBetLotto(models.Model):
numberLotto = models.IntegerField()
top = models.BooleanField(default=False,null=False,blank=False)
down = models.BooleanField(default=False,null=False,blank=False)
price = models.IntegerField()
class Employee(... |
casa = float(input('Valor da Casa: R$'))
salario = float(input('Valor do salário: R$'))
tempo = int(input('Quantos anos para pagar: '))
prest = casa / (tempo * 12)
prestmax = salario * 0.3
if prest > prestmax:
print('Como o valor da prestação R${:.2f} ultrapassa o limite de 30% do salário (R${:.2f}), o empréstimo... |
# Generated by Django 3.2.9 on 2021-11-30 00:43
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dso', '0020_dso_priority'),
]
operations = [
migrations.AlterField(
model_name='dso',
name='priority',
f... |
import miind.grid_generate as grid_generate
def cond(y,t):
E_r = -65e-3
tau_m = 20e-3
tau_s = 5e-3
v = y[0];
h = y[1];
v_prime = ( -(v - E_r) - (h * v) ) / tau_m
h_prime = -h / tau_s
return [v_prime, h_prime]
grid_generate.generate(
func = cond,
timestep = 1e-05,
times... |
import py.path
import uritools
from ..decorators import signature
from ..inner.uritools import uridisplay
class Source(object):
"""ABC for sources."""
def cache(self, cache):
"""Generates a filesystem local source from this source.
The :class:`~arx.sources.files.File` thus returned can be us... |
"""
Helper functions for osbrain (usually for testing purposes).
"""
import re
import time
from uuid import uuid4
def regex_count_in_list(regex, strings):
"""
Returns
-------
int
The number of times a regular expression was found in a list of
strings.
"""
matches = 0
for ca... |
T = int(input())
for test in range(0, T) :
A, B = input().split()
print(int(A) + int(B)) |
from django.contrib import admin
from . import models
class ManufacturerAdmin(admin.ModelAdmin):
list_display = ('id', 'name', 'slug', 'website', 'description', 'created', 'updated')
admin.site.register(models.Manufacturer, ManufacturerAdmin)
|
from tkinter import *
from center_tk import Center_root
from tkinter.scrolledtext import ScrolledText
import os , threading
from tkinter import ttk
class _entry(Entry) :
def __init__(self , perent , *args , **kwargs):
Entry.__init__(self , perent , *args , **kwargs)
self.pop = Menu(self ,tearoff =0 ... |
"""
Usage:
comigean get-genomes [--help] [options] <OUTDIR> <REF_DIR>
[--USER_GENOMES=<PATH>] [--REF_TAXA=<TAXA>] [--OUTGROUP_TAXA=<TAXA>]
Required positional arguments:
OUTDIR Path to a directory to download genomes & proteomes
REFDIR Path to da... |
# Imports
import csv
import sys
from datetime import datetime
import time
from random import randint
import math
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.metrics.pairwise import euclidean_distances
import numpy as np
import math
import tensorflow as tf
# Path to data
inputFile = sys.arg... |
# file.py
file = open('test.log', 'r', encoding='utf8')
sizeLimits = 209715200 # byte ==200m
position = 0
lines = file.readlines(sizeLimits)
try:
while not file.tell() - position < 0:
position = file.tell()
else:
|
import requests
import re
import tumblr_client
import html
from datetime import datetime
def append_to_file(filename, contents):
with open(filename, 'a', encoding='utf8') as file:
file.writelines(contents + '\n')
# inline tags keep text together visually (<b>S</b>ame)
# non-inline tags keep t... |
"""
Django settings for Eportal project.
Generated by 'django-admin startproject' using Django 2.1.2.
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
i... |
'''
This module is a self contained routine to ransack Bing for results around a query. The main entry point is class
SearchBing()::runSearchEngine. Notes:
- You'll want to substitute your own application key (self.key) if using it a lot
- It depends on module b_openUrl.py (this wraps urllib2 functions)
- The s... |
%python
#install prerequisite modules in Databricks
#%pip install pyspark
from pyspark.sql.functions import col, countDistinct, isnan, avg, length, max, min
def categorical_summarized(df, dfName, limit):
# spark SQL data summary functions
# list of columns
dfCol = df.columns
rowCount = df.count()
... |
import numpy as np
from tqdm import tqdm
import pytorch_ssim
def ssim(vae, images):
decoded_images,_,_ = vae(images.view(images.shape[0],784))
ssim_list = list()
for i in tqdm(range(images.shape[0])):
ssim_list.append(pytorch_ssim.ssim(images[i].view(1,1,28,28), decoded_images[i].view(1,1,28,28)).... |
# Time: O(n) ~ O(n^2)
# Space: O(n)
class Solution(object):
def maxProduct(self, words):
"""
:type words: List[str]
:rtype: int
"""
def counting_sort(words):
k = 1000 # k is max length of words in the dictionary
buckets = [[] for _ in xrange(k)]
... |
from django.template.loader import render_to_string
from django.utils.translation import ugettext_lazy as _
from debug_toolbar.debug.version import DebugVersions
from debug_toolbar.panels import DebugPanel
class VersionDebugPanel(DebugPanel):
"""
Panel that displays the Django version.
"""
name = 'Ve... |
# Copyright (c) 2019 - The Procedural Generation for Gazebo authors
# For information on the respective copyright owner see the NOTICE file
#
# 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
#
#... |
#!/usr/bin/env python3
#script desenvolvido primeiramente para ser executado em sistemas Linux.
import re
import getopt
import os
import sys
import requests
from html.parser import HTMLParser
import time
import random
import smtplib
import datetime,pytz
import pymongo
from pymongo import MongoClient
from validador imp... |
# Copyright 2018-2019 SourceOptics Project Contributors
#
# 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... |
from difflib import SequenceMatcher
def run(arguments):
with open(arguments[0], encoding='utf-8') as fp:
text1 = fp.read()
#text1 = text1.decode('utf-8')
fp = open(arguments[1], encoding='utf-8')
text2 = fp.read()
fp.close()
#text2 = text2.decode('utf-8')
utf_char = '\u00a0'... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from panda3d.core import *
import random, string, json, zipfile, argparse, time, midi
from direct.task.Task import Task
from direct.gui.DirectGui import *
from direct.interval.IntervalGlobal import *
from direct.showbase.ShowBase import ShowBase
from direct.gui.O... |
from .solids import bash_command_solid, bash_script_solid
from .version import __version__
__all__ = ['bash_command_solid', 'bash_script_solid']
|
from tensorboard.backend.event_processing.event_accumulator import EventAccumulator
import os
import sys
import glob
if len(sys.argv) != 2:
raise Exception("wrong usage: python tensorboard_summarize.py <path_to_events>")
step = 350
metrics = {}
metrics_ema = {}
exceptions = ['learning_rate', 'consistency_weight'... |
import os
# Training image data path
#IMAGEPATH = 'data/face/'
#IMAGEPATH = '../models/train.txt'
IMAGEPATH = '../../../../data/faces/'
# LFW image data path
LFW_IMAGEPATH = '../data/LFW/lfw-deepfunneled/'
# Path to caffe directory
#CAFFEPATH = '~/caffe'
CAFFEPATH = '~/anaconda3/bin'
# Snapshot iteration
SNAPSHOT_I... |
import sys
import train_model
import eval_results
import torch
import torch.optim as optim
import torch.nn as nn
import pickle
import os
import pandas as pd
import numpy as np
# local imports
from dataset import get_data_loaders
from dataset_chunking_fxns import subsample_df_by_groups
DATA_DIR = '../../data'
def s... |
# TODO: properly handle enumerated nodes
import os.path
import sys
#import xml.etree.ElementTree as ET
import lxml.etree as ET
from props import PropertyNode, root
# internal xml tree parsing routine
def _parseXML(pynode, xmlnode, basepath):
overlay = 'overlay' in xmlnode.attrib
exists = xmlnode.tag in pyno... |
# -*- coding: utf-8 -*-
import json
class DataType(object):
def __init__(self, description, defaultvalue=None):
self.description = description
self.defaultvalue = defaultvalue
class Interger(DataType):
pass
class Float(DataType):
pass
class String(DataType):
pass
class DateTime... |
from .. import DBType, Insert, sirix_sync, SirixServerError
import httpx
import json
import cmd
import argparse
import shlex
from datetime import datetime
import getpass
from pathlib import Path
from xml.etree import ElementTree as ET
def delete_parser():
parser = argparse.ArgumentParser(
description=f"... |
from unittest import TestCase
class TestMain(TestCase):
def test_main(self):
self.assertTrue(True)
|
from hashlib import sha1
import json
import re
import requests
from django.conf import settings
from django.core.exceptions import SuspiciousOperation
from desecapi import metrics
from desecapi.exceptions import PDNSException, PDNSValidationError, RequestEntityTooLarge
NSLORD = object()
NSMASTER = object()
_config... |
# mapper.py
# Ryan Zembrodt
# Lines to sentences code partially taken/modified from project with Dr. Harrison
import re
import sys
from unidecode import unidecode
import zipimport
importer = zipimport.zipimporter('nltk.mod')
nltk = importer.load_module('nltk')
try:
from nltk.corpus import stopwords
except Exceptio... |
from .ping import ping
from .validator import StrictDraft7Validator
from .click_options import simple_verbosity_option, show_trace_option
from .utils import get_module_from_file
__all__ = [
"RenderJSON",
"ping",
"StrictDraft7Validator",
"simple_verbosity_option",
"show_trace_option",
"get_modu... |
import pandas as pd
pokemon = pd.read_csv('data/pokemon.csv', index_col=0)
pokemon = pokemon.loc[ : , ['attack', 'defense', 'capture_rt', 'total_bs', 'legendary']]
# Make a groupby object on the column legendary
# Find the maximum and minimum value of each column for each legendary groups using
# .agg() and save t... |
import b
y = b.x
|
# -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2017-08-29 20:33
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('problem', '0005_auto_20170825_2201'),
]
operations = [
migrations.AlterFiel... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2017-02-14 19:39:08
# @Author : eclipse_sv (eclipse_sv@163.com)
# @Link : https://eclipsesv.com
# @Version : $Id$
|
# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... |
from copy import deepcopy
from django import forms
from django.conf import settings
from django.core.validators import MaxValueValidator
from django.db import models
import django_filters
from django_filters.constants import EMPTY_VALUES
from django_filters.utils import get_model_field, resolve_field
from nautobot.dc... |
import re
from streamlink.plugin import Plugin
from streamlink.plugin.api import http
from streamlink.compat import urljoin
from streamlink.stream import HLSStream
class TVNBG(Plugin):
url_re = re.compile(r"https?://(?:live\.)?tvn\.bg/(?:live)?")
iframe_re = re.compile(r'<iframe.*?src="([^"]+)".*?></iframe>'... |
"""Unit test package for op-env."""
|
"""
In this example a custom specs_route is set.
"""
from flask import Flask
try:
from http import HTTPStatus
except ImportError:
import httplib as HTTPStatus
from flasgger import Swagger
swagger_config = {
"headers": [
],
"specs": [
{
"endpoint": 'specifications',
"... |
"""This superclass represents our get_value abstract class"""
from abc import abstractmethod
from typing import List
from utils.setting import Setting
class SettingMitigator(Setting):
@abstractmethod
def h_mit_bound(self, param_l_list: List[float]) -> float:
"""
new Lyapunov standard_bound
... |
# @Author: Manuel Rodriguez <valle>
# @Date: 08-Jul-2017
# @Email: valle.mrv@gmail.com
# @Last modified by: valle
# @Last modified time: 27-Feb-2018
# @License: Apache license vesion 2.0
import os
try:
FA_ENTER = unichr(0xf090)
except Exception as e:
unichr = lambda s: chr(s)
PATH_RES = os.path.join(os.... |
from django.db import models
from django.conf import settings
from django.utils.functional import cached_property
from . import commands
class WebOperator(models.Model):
"""
A web operator has limited access to console commands
via a web interface.
"""
SURVIVAL = 0
CREATIVE = 1
ADVENTURE ... |
# ---------------------------------- Imports --------------------------------- #
import logging
import discord
from discord.ext import commands
from discord_slash import cog_ext, SlashContext
import lavalink
from ... import config
from ..core.voice import VoiceStateManager as VSM
from ..core.music import Music
from .... |
"""
thanks.py - FlutterBitch anger module
Author: miggyb
About: http://berrytube.tv/
"""
import random
def thanks(willie, input):
greeting = random.choice((
'Shut up',
'I hate you',
'Go away',
'Eat a boat',
'Leave me alone',
'Get bent',
'Screw you',
'Nopony loves you',
... |
def calc(a):
s = set([2])
for n in range(1, 2 * a + 1, 2):
r = (2 * n * a) % (a * a)
s.add(r)
return max(s)
if __name__ == "__main__":
print sum([calc(a) for a in range(3, 1001)])
|
from iotfs.listener.listener import Listener
class CustomListener(Listener):
def __init__(self):
super().__init__()
def process(self, item):
with open("./log", "a+") as f:
f.write(item.event.name + "_" + item.operation.name + "\n")
|
"""
population.py
~~~~~~~~~~~~~
This stores a fixed set of genomes, and provides methods to
create new generations based on the existing one.
"""
import random
import collections
from operator import attrgetter
from genome import Genome
SIZE = 270 # The static size that the population will be kept at
MATE_DIST = 50 ... |
"""
OMEN API endpoint definition.
## noteworthy URLs:
- The OpenAPI descriptor is exposed as `/omen/api/1.0/openapi.json`.
- The API itself lives under `/omen/api/1.0/`.
- A visual instance of Swagger UI is available under `/omen/api/1.0/ui`.
"""
# pylint: disable=no-self-use,too-many-instance-attributes
import logg... |
"""Contacts are quite simple. It contains some links to tech riders and contact information in a
single database row. They basically could be hard-coded to the site too, but for some flexibility
they'll be in the DB."""
import json
import unittest
from flask_caching import Cache
from sqlalchemy import desc
from app ... |
# coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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 applicab... |
from boa3.boa3 import Boa3
from boa3.exception.CompilerError import MismatchedTypes
from boa3.neo.vm.opcode.Opcode import Opcode
from boa3.neo.vm.type.Integer import Integer
from boa3_test.tests.boa_test import BoaTest
class TestWhile(BoaTest):
def test_while_constant_condition(self):
jmpif_address = Int... |
import numpy as np
import pytest
import starfish.data
from starfish import FieldOfView
from starfish.image import Filter
from starfish.spots import FindSpots
from starfish.types import TraceBuildingStrategies
@pytest.mark.skip('This test runs but takes forever')
def test_allen_smFISH_cropped_data():
# set rando... |
from .file import File # noqa
from .subscriber import Subscriber # noqa
|
import gdal, ogr, osr, os, time
import numpy as np
import CM_intern.common_modules.array2raster as a2r #array2raster
def rasterize(inRasterPath, inVectorPath, fieldName, dataType
, outRasterPath=None, noDataValue=0, saveAsRaster=False
, pixelWidth=100, pixelHeight=-100):
inRastData... |
import time
def test_slow_passing():
time.sleep(2)
assert True
|
from django.apps import AppConfig
class OurgamesConfig(AppConfig):
name = 'ourGames'
|
import os
def getConf(confKey):
db_name = os.getenv('SCHEDULE_WAREHOUSE_DB_NAME', 'db_name')
db_username = os.getenv('METER_WAREHOUSE_DB_USERNAME', 'username')
db_password = os.getenv('METER_WAREHOUSE_DB_PASSWORD', 'password')
db_host = os.getenv('METER_WAREHOUSE_DB_HOST', 'hostip')
db_port = os.g... |
# -*- coding：utf-8 -*-
# &Author AnFany
# 大数加、减法
# 正实数的减法
def big_subtraction(a, b):
"""
计算两个正实数的减法
:param a: 实数
:param b: 实数
:return: a-b的差
"""
if a == b:
return '0'
# 获取实数的小数点位数
decimal_a = 0
if '.' in a:
decimal_a = len(a) - a.index('... |
# dash libs
import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
# pydata stack
import pandas as pd
from sqlalchemy import create_engine
import plotly.express as px
from fpl_test import DB_ENGINE_LOC
import pdb
# set params
conn = create_engi... |
from __future__ import annotations
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional
from yaml import safe_load
from .data_loader import DataFormat
@dataclass
class ModelVersion:
"""Model version details and schema."""
name: str
type: str
predictions: Dict... |
'''Train a Bidirectional LSTM on the IMDB sentiment classification task.
Output after 4 epochs on CPU: ~0.8146
Time per epoch on CPU (Core i7): ~150s.
'''
from __future__ import print_function
import numpy as np
np.random.seed(1337) # for reproducibility
from keras.preprocessing import sequence
from keras.models im... |
# Copyright (c) 2012-2018 SoftBank Robotics. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the COPYING file.
import os
import posixpath
import qisys.qixml
def convert_project(project):
""" Convert a qidoc2 project so it's still usable
in qidoc2 and q... |
#!/usr/bin/env python3
import os
os.environ['KERAS_BACKEND'] = 'tensorflow'
from keras.datasets import reuters
from keras.preprocessing import sequence
from keras.utils.np_utils import to_categorical
import numpy as np
from reuters_model import createHierarchicalAttentionModel
batch_size = 16
max_features = 20000
ma... |
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