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"""Statistics helper for sensor."""
from __future__ import annotations
import datetime
import statistics
from homeassistant.components.recorder import history
from homeassistant.components.sensor import ATTR_STATE_CLASS, STATE_CLASS_MEASUREMENT
from homeassistant.const import ATTR_DEVICE_CLASS
from homeassistant.core... |
import openpyxl
def readExcelFile (path, sheetName):
file = openpyxl.load_workbook (path, read_only=True)
sheets = file.sheetnames
return file.get_sheet_by_name (sheetName)
def getValueCell (worksheet, row, col):
cell = worksheet.cell (row, col)
return cell.value
def getRowValues (worksheet, star... |
import tensorflow as tf
from tensorflow.keras import losses
import tensorflow.python.keras.backend as K
class ImageGradientDifferenceLoss(losses.Loss):
def __init__(self):
super().__init__()
def call(self, y_true, y_pred):
# for 5D inputs
gdl = 0
for i in range(y_true.shape[1])... |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... |
#!/usr/bin/env python3
# Copyright (c) 2017-2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Class for bitcoinrd node under test"""
import contextlib
import decimal
import errno
from enum import ... |
import pytest
import cudf
from cuxfilter.charts.core.non_aggregate.core_stacked_line import (
BaseStackedLine,
)
from cuxfilter.layouts import chart_view
import cuxfilter
class TestBaseStackedLine:
df = cudf.DataFrame(
{"key": [0, 1, 2, 3, 4], "val": [float(i + 10) for i in range(5)]}
)
cux_d... |
import sys
import argparse
from PolTools.utils.verify_bed_file import verify_bed_files
from PolTools.utils.get_region_length import determine_region_length
from PolTools.utils.bedtools_utils.run_bedtools_getfasta import run_getfasta
from PolTools.utils.make_random_filename import generate_random_filename
from PolTools... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
__version__ = "0.6.0.dev"
import os
import re
import sys
import copy
import yaml
import logging
import platform
import subprocess
from pathlib import Path
from .utils import can_use_cache, init_instance_by_config, get_module_by_module_path
fr... |
"""Some special pupropse layers for SSD."""
import keras.backend as K
from keras.engine.topology import InputSpec
from keras.engine.topology import Layer
import numpy as np
import tensorflow as tf
class Normalize(Layer):
"""Normalization layer as described in ParseNet paper.
# Arguments
scale: Defau... |
# The code here is based on the code at
# https://github.com/gpleiss/temperature_scaling/blob/master/temperature_scaling.py
import torch
from torch import nn, optim
from torch.nn import functional as F
from torch.autograd import Variable
import numpy as np
def logits_from_probs(prob_arr):
return np.log(prob_arr)
... |
#!/usr/bin/env python
######################################################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... |
# coding: utf-8
# Copyright (c) 2009-2021 The Regents of the University of Michigan
# This file is part of the HOOMD-blue project, released under the BSD 3-Clause
# License.
# Maintainer: joaander / All Developers are free to add commands for new
# features
from hoomd.md import _md
import hoomd
from hoomd.integrate... |
# coding: utf-8
from __future__ import unicode_literals, print_function, division, absolute_import
from subprocess import call
import unittest
from django.test import TestCase
class TestStyle(TestCase):
@unittest.skip('Fails under Django 1.6')
def test_flake8(self):
result = call(['flake8', '--exclu... |
import os, sys
sys.path.append(os.getcwd())
import time
import tflib as lib
import tflib.save_images
import tflib.mnist
import tflib.cifar10
import tflib.plot
import tflib.inception_score
import os
import numpy as np
import torch
import torchvision
from torch import nn
from torch import autograd
from torch import o... |
"""
pyubx2 performance benchmarking utility
Created on 5 Nov 2021
@author: semuadmin
"""
from datetime import datetime
from platform import version, python_version
from pyubx2.ubxreader import UBXReader
from pyubx2._version import __version__ as pyubx2ver
CYCLES = 10000
UBXMESSAGES = [
b"\xb5b\x10\x02\x18\x00\x... |
import unittest
import os
import pandas as pd
from tadaqq.clus import Clusterer
from collections import Counter
from tadaqq.clus import Clusterer, PMap
from tadaqq.slabmer import SLabMer
def get_test_df():
dbp = "http://dbpedia.org/property/"
df = pd.DataFrame(
[
['AAA', 'fnameaa1', 0, "1,... |
# Given a string s, find the length of the longest substring without repeating characters.
#
#
# Example 1:
#
#
# Input: s = "abcabcbb"
# Output: 3
# Explanation: The answer is "abc", with the length of 3.
#
#
# Example 2:
#
#
# Input: s = "bbbbb"
# Output: 1
# Explanation: The answer is "b", with the length of 1.
#
... |
"""Runs a parametric test over several of the linear solvers."""
import numpy as np
import unittest
from openmdao.core.group import Group
from openmdao.core.problem import Problem
from openmdao.core.implicitcomponent import ImplicitComponent
from openmdao.utils.assert_utils import assert_near_equal
from openmdao.solv... |
# -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
from oscar.core.compat import AUTH_USER_MODEL, AUTH_USER_MODEL_NAME
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'OrderDiscount.frequency'
... |
import numpy as np
import scipy.misc
import tensorflow as tf
import os
import termcolor
# compute projection from source to target
def projection(Vs,Vt):
VsN = tf.shape(Vs)[0]
VtN = tf.shape(Vt)[0]
Vt_rep = tf.tile(Vt[None,:,:],[VsN,1,1]) # [VsN,VtN,3]
Vs_rep = tf.tile(Vs[:,None,:],[1,VtN,1]) # [VsN,VtN,3]
diff =... |
import argparse
import webbrowser
import octis.dashboard.frameworkScanner as fs
import octis.configuration.defaults as defaults
from multiprocessing import Process, Pool
import json
from flask import Flask, render_template, request, send_file
import tkinter as tk
import pandas as pd
import numpy as np
from tkinter impo... |
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
"""
# -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup --------------------------------------------------------... |
import os
from flask import url_for
EMPTY_EXTENSIONS_JSON = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'fixtures', 'empty.json')
def test_extensions_json(client):
response = client.get(url_for('extensions_json'))
assert response.status_code == 200
def test_home(client):
response = clien... |
# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
import numpy as np
def read_gaussian_out(content, property='energy'):
"""Reads gaussian output file
- quantity = 'structure' - final structure form output.
- quantity = 'atomic_numbers' - atmoic numbers
- quantity = 'energy' - final energy from output.
- quantity = 'frequencies' - frequencies ... |
import time
import re
import socket
import sys
import traceback
import paho.mqtt.client as mqtt
from threading import Thread
class TemperatureLogger:
config = None
mqtt_client = None
mqtt_connected = False
worker = None
# removed as not one of my requirements
#temperatures = {}
def __ini... |
import os
import requests
from django.conf import settings
from constance import config
def check_access_token():
url = "https://id.twitch.tv/oauth2/validate"
access_token = config.TWITCH_ACCESS_TOKEN
headers = {"Authorization": f"OAuth {access_token}"}
req = requests.get(url, headers=headers)
d... |
import json
from pathlib import Path
from typing import Optional
class Config:
user: str = "jmaralc"
repo: str = "oop_rust"
token: str = "fake_token"
deployment_action_name: str = "Greetings"
def __init__(self, config_file: Optional[Path] = None):
if config_file is not None:
w... |
from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Stream(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "box"
_path_str = "box.stream"
_valid_props = {"maxpoints", "token"}
# maxpoints
# -... |
from classification_tools import *
from PyQt5 import uic
from PyQt5.QtWidgets import QFileDialog, QLineEdit, QAction, QFrame, QHBoxLayout, QLabel, QMainWindow, QApplication, QPushButton, QPlainTextEdit, QMessageBox
from PyQt5.QtCore import pyqtSlot, Qt
NORMAL_LABEL_STYLESHEET = "color: rgb(43, 62, 81); background-colo... |
# Given array of integers, for each position i, search among the previous
# positions for the last (from the left) position that contains a smaller
# value. Store this value at position i in the answer. If no such value
# can be found, store -1 instead.
#
# Example
#
# For items = [3, 5, 2, 4, 5], the output should be
... |
"""An unofficial Python wrapper for the Binance exchange API v3
.. moduleauthor:: Sam McHardy
"""
__version__ = '1.0.1'
from binance.client import Client, AsyncClient # noqa
from binance.depthcache import DepthCacheManager, OptionsDepthCacheManager # noqa
from binance.streams import BinanceSocketManager # noqa
|
# Copyright 1999-2020 Alibaba Group Holding 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 a... |
#!/usr/bin/env python
import unicodecsv
import sys
import codecs
import json
from decimal import Decimal, InvalidOperation
FIELDNAMES = ['year', 'mandate_description_en', 'mandate_description_fr', 'operational_activities_kdollars', 'key_stakeholders_kdollars', 'training_kdollars', 'other_kdollars', 'internal_governan... |
"""
Django settings for week4_baemin project.
Generated by 'django-admin startproject' using Django 2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os... |
import validate
# Test license numbers
ESMA_NUMBER = "E142304"
AHA_NUMBER = "195506016954"
ARC_NUMBER = "10FMU9"
DCA_NUMBER = "G 50925"
DCA_LASTNAME = "DOEMENY"
# Expected test results
ESMA_EXPECTED_RESULT = """
FULL NAME: Benjamin Thales Lenington
LICENSE STATUS: Active
LICENSE TYPE: EMT
ISSUE DATE: 9/... |
# Copyright (c) 2018, NVIDIA 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/licenses/LICENSE-2.0
#
# Unless required by appli... |
import asyncio
import random
import async_timeout
import pytest
from async_generator import async_generator, yield_
from channels_redis.pubsub import RedisPubSubChannelLayer
TEST_HOSTS = [("localhost", 6379)]
@pytest.fixture()
@async_generator
async def channel_layer():
"""
Channel layer fixture that flush... |
"""Example of Bayesian confirmatory factor analysis in PyMC3 in which the latent
variables are estimated.
"""
import numpy as np
import pandas as pd
import pymc3 as pm
import theano.tensor as tt
import matplotlib.pyplot as plt
from os.path import exists
from matplotlib import rcParams
from pymc3.math import matrix_do... |
#!/usr/bin/env python
# This file contains functions for evaluating algorithms for the 2019 PhysioNet/
# CinC Challenge. You can run it as follows:
#
# python evaluate_sepsis_score.py labels predictions scores.psv
#
# where 'labels' is a directory containing files with labels, 'predictions' is a
# directory containi... |
#! /usr/bin/env python3
import aiohttp
from typing import Any, Dict
from asyncio_throttle import Throttler
from ff14angler.exceptions.networkException import NetworkException
class AiohttpWrapper:
def __init__(self, rate_limit: int, duration: int):
"""The value `rate_limit` is max requests per durati... |
#########################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# SPDX-License-Identifier: MIT-0 #
# ... |
import requests
headers = {'User-Agent':'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.67 Safari/537.36'}
url = 'http://www.image-net.org/api/text/imagenet.synset.geturls?wnid=n02127808'
response = requests.get(url,headers=headers)
print(response.text)
url = response.text.spl... |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
# -*- coding: utf-8 -*-
from compare_list import compare
import sys
def main():
n = int(input())
list_a = list(map(int, input().split()))
list_b = list(map(int, input().split()))
assert len(list_a) == len(list_b) == n
print(compare(list_a, list_b))
if __name__ == '__main__':
ma... |
# -*- coding: utf-8 -*-
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="data_parse",
version="0.0.1",
author="Changhai Wu",
author_email="hailxl@gmail.com",
description="data parse for csv etc.",
long_description=long_description,
... |
"""
Internal tasks for redhat downstream builds
"""
import contextlib
import logging
import requests
from tempfile import NamedTemporaryFile
from teuthology.parallel import parallel
from teuthology.orchestra import run
from teuthology.task.install.redhat import set_deb_repo
log = logging.getLogger(__name__)
@contex... |
import sys
import os
import getpass
import xml.etree.ElementTree as ET
import Alfred
handler = Alfred.Handler(sys.argv, use_no_query_string=False)
f = open("mountainduck_settings_folder.txt", "r")
settings_folder = f.read()
# remove the \n
settings_folder = settings_folder[:-1]
f.close()
settings_folder = settings_... |
import torch
import misc.utils as utils
import numpy as np
from misc.rewards import init_scorer, get_self_critical_reward, get_arsk_loss_cuda
class LossWrapper(torch.nn.Module):
def __init__(self, model, opt):
super(LossWrapper, self).__init__()
self.opt = opt
self.model = model
if ... |
from .utils import NamespacedClient, query_params, _make_path
class CatClient(NamespacedClient):
@query_params('h', 'help', 'local', 'master_timeout', 'v')
def aliases(self, name=None, params=None):
"""
`<http://www.elastic.co/guide/en/elasticsearch/reference/master/cat-alias.html>`_
:... |
"""Test the bonus mode."""
import os
import time
from unittest.mock import mock_open, patch
from mpf.file_interfaces.yaml_interface import YamlInterface
from mpf.core.data_manager import DataManager
from mpf.tests.MpfTestCase import MpfTestCase
class TestDataManager(MpfTestCase):
def getConfigFile(self):
... |
import bpy
from .... base_types import AnimationNode
from .... algorithms.mesh_generation.cylinder import getCylinderMesh
class CylinderMeshNode(bpy.types.Node, AnimationNode):
bl_idname = "an_CylinderMeshNode"
bl_label = "Cylinder Mesh"
def create(self):
self.newInput("Float", "Radius", "radius",... |
import os
import random
import numpy as np
import torch
import matplotlib.pyplot as plt
from PIL import Image, ImageDraw
from scipy.spatial.transform import Rotation as R
import copy
import cv2
import io
from matplotlib import cm
import math
from math import pi
import imageio
from skimage.morphology import convex_hul... |
import json
import os.path as osp
import tempfile
import torch
from mmocr.datasets.ner_dataset import NerDataset
from mmocr.models.ner.convertors.ner_convertor import NerConvertor
def _create_dummy_ann_file(ann_file):
data = {
'text': '彭小军认为，国内银行现在走的是台湾的发卡模式',
'label': {
'address': {... |
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright 2018 by ShabaniPy Authors, see AUTHORS for more details.
#
# Distributed under the terms of the MIT license.
#
# The full license is in the file LICENCE, distributed with this software.
# ----------------... |
# -*- coding=utf -*-
from __future__ import absolute_import
from ...server.logging import RequestLogHandler, REQUEST_LOG_ITEMS
from sqlalchemy import create_engine, Table, MetaData, Column
from sqlalchemy import Integer, Sequence, DateTime, String, Float
from sqlalchemy.exc import NoSuchTableError
from ...browser imp... |
# -*- coding: utf-8 -*-
'''
@Time : /
@Author : Yanyuxiang
@Email : yanyuxiangtoday@163.com
@FileName: /
@Software: PyCharm
'''
import pickle
import os
def main_func(dir_path, dump_path):
train_path = os.path.join(dir_path, 'train_split_0.pkl')
test_path = os.path.join(dir_path, 'test_split_0.pkl')
... |
import copy
import json
import logging
import os
import pathlib
import typing as t
import zlib
import enforce
import quantities as pq
import requests
import websocket
import numpy as np
from django.conf import settings
from pygeppetto_gateway import helpers
from pygeppetto_gateway.interpreters import core, helpers as... |
from sklearn.decomposition import PCA
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import f1_score
def PCA_train_predict_score(X, y, k, random_state=42):
"""
Function to perform PCA and generate model to check performanc... |
#!/usr/bin/env python
import yaml
import re
class MyDumper(yaml.Dumper):
def increase_indent(self, flow=False, indentless=False):
return super(MyDumper, self).increase_indent(flow, False)
with open("environment.yml", "r") as stream:
try:
print(type(stream))
#print(yaml.saf... |
from rename_to_project_and_finish.appliances.fridge import Fridge
from rename_to_project_and_finish.appliances.laptop import Laptop
from rename_to_project_and_finish.appliances.tv import TV
from rename_to_project_and_finish.rooms.room import Room
class YoungCoupleWithChildren(Room):
def __init__(self, family_name... |
import matplotlib
import os
if os.system != "nt": #pragma: no cover
matplotlib.use("Agg")
|
from __future__ import print_function
import torch
import torch.nn as nn
import torch.utils.data
from torch.autograd import Variable
import torch.nn.functional as F
import math
from .submodule import *
class hourglass(nn.Module):
def __init__(self, inplanes):
super(hourglass, self).__init__()
self... |
# https://www.hackerrank.com/challenges/ctci-ransom-note/problem
#!/bin/python3
import math
import os
import random
import re
import sys
from collections import defaultdict
#
# Complete the 'checkMagazine' function below.
#
# The function accepts following parameters:
# 1. STRING_ARRAY magazine
# 2. STRING_ARRAY n... |
# coding: utf-8
import sys
import os
import numpy
import cv2
# empty data batch class for dynamical properties
class DataBatch:
pass
def NMS(boxes, overlap_threshold):
'''
:param boxes: numpy nx5, n is the number of boxes, 0:4->x1, y1, x2, y2, 4->score
:param overlap_threshold:
:return:
'''
... |
import PyPDF2
from os import path, listdir, getcwd
from q1_create_n_gram import create_n_gram
from q2_entropy import entropy
from q3_conditional_entropy import conditional_entropy
from q4_joint_entropy import joint_entropy
from q5_mutual_information import mutual_information
from q6_min_max_entropy import compute_min_... |
import torch
import torchvision.transforms as transforms
import model
from PIL import Image
import sys
DIR="data/models/"
MODEL="model-100-epochs-adam-0003-lr-cpu.pth"
def get_model(PATH, model):
device = torch.device('cpu')
model.load_state_dict(torch.load(PATH, map_location=device))
model.eval()
re... |
# -*- coding: utf-8 -*-
"""
sphinx.writers.texinfo
~~~~~~~~~~~~~~~~~~~~~~
Custom docutils writer for Texinfo.
:copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
import textwrap
from os import path
from docutils import nodes, wri... |
import shutil
import sys
import os
import subprocess
import redis
from includes import *
from RLTest import Env
'''
python -m RLTest --test tests_onnx.py --module path/to/redisai.so
'''
def test_onnx_modelrun_mnist(env):
if not TEST_ONNX:
env.debugPrint("skipping {} since TEST_ONNX=0".format(sys._getfram... |
# pylint: disable=W0611
# flake8: noqa
from pandas.core.sparse.array import SparseArray
from pandas.core.sparse.list import SparseList
from pandas.core.sparse.series import SparseSeries
from pandas.core.sparse.frame import SparseDataFrame
|
###############################################################################
##
## Copyright (C) 2011-2014 Tavendo GmbH
##
## 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
##
## h... |
# Copyright 2011-2014 Google Inc.
#
# 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... |
# Copyright (c) 2015 Hewlett-Packard Development Company, L.P.
#
# 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... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Continuum-normalization.
"""
from __future__ import (division, print_function, absolute_import,
unicode_literals)
__all__ = ["normalize", "sines_and_cosines"]
import numpy as np
import os
from warnings import warn
def _continuum_design_matr... |
__author__ = 'luigolas'
import sys
import ast
from PyQt4 import QtGui
import os
from package import feature_extractor
from package.image import CS_HSV, CS_BGR, CS_IIP
import package.execution as execution
from package.dataset import Dataset
from package.post_ranker import SAA, LabSP, SAL
import package.feature_matcher... |
# Copyright 2018 Stanford University
#
# 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 writi... |
# -*- coding: utf-8 -*-
"""
Copyright 2005 Spike^ekipS <spikeekips@gmail.com>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later versi... |
# https://www.codewars.com/kata/sum-of-positive/python
def positive_sum(arr):
return sum([x for x in arr if x > 0])
|
"""
WSGI config for Gachon_Bus_Backend project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('D... |
from resources import BaseResource
from documentation.namespaces import user_ns
from documentation.models import upload_parser, post_response
from accessors import UserAccessor
from resources.auth_resource import requires_auth
@user_ns.doc(security='apiKey')
@user_ns.route('/uploads')
class UserUploads(BaseResource):... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# the above line is to avoid 'SyntaxError: Non-UTF-8 code starting with' error
'''
Created on
Course work:
@author: raja
Source:
https://pypi.org/project/sqlphile/
'''
# Import necessary modules
import sqlphile as sp
def startpy():
with sp.sqlite3 (r"test.db"... |
from .batchnorm import _BatchNorm
from .. import functional as F
class _InstanceNorm(_BatchNorm):
def __init__(self, num_features, eps=1e-5, momentum=0.1, affine=False,
track_running_stats=False):
super(_InstanceNorm, self).__init__(
num_features, eps, momentum, affine, track_... |
"""
helloworld.py
Author: kyDoleuc04
Credit: I did this all by myself.
Assignment:
Write and submit a Python program that prints the following:
Hello, world!
"""
print("Hello, world!") |
from numpy.core.arrayprint import printoptions
import pygame
import numpy as np
class grid():
def __init__(self, screen):
self.screen = screen
self.column = 10
self.row = 10
self.rows_height = self.screen.get_height()/self.row
self.rows_witdh = self.screen.get_height()/se... |
import rrPython
import os
import csv
os.chdir('C:\\RoadRunner\\bin')
function = 'setCapabilities'
try:
caps = rrPython.setCapabilities('aaa')
if str(caps) is not False:
result = 'True'
else:
result = 'False'
except:
result = 'False'
PythonTestResults = open('C:\\Road... |
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
from scrapy.item import Item, Field
class TbpScraperItem(scrapy.Item):
# define the fields for your item here like:
year = Field()
professor... |
import numpy as np
import numpy.testing as npt
import dkmri
SEED = 123
params = np.array(
[
7.90764792,
0.88660664,
0.82186469,
0.81741033,
0.25016042,
0.12341918,
0.28344717,
0.97744794,
0.64809536,
0.54047796,
0.09333558,
... |
'''
Created on Nov 16, 2016
@author: Drew
'''
from direct.directnotify import DirectNotifyGlobal
from direct.gui.DirectGui import *
from direct.interval.IntervalGlobal import *
from direct.task.Task import Task
from otp.ai.MagicWordGlobal import *
from panda3d.core import *
from toontown.distributed import ToontownDis... |
import geopandas as gpd
import pandas as pd
from shapely.geometry import Polygon,Point
import math
import numpy as np
def rect_grids(bounds,accuracy = 500):
'''
生成研究范围内的方形栅格
输入
-------
bounds : List
生成范围的边界，[lon1,lat1,lon2,lat2] (WGS84坐标系) 其中，lon1,lat1是左下角坐标，lon2,lat2是右上角坐标
accuracy... |
import subprocess
import json
import atexit
import jsonschema
import psutil
import sys
import random
import time
import datetime
import os
class Execution:
"""
This class represents a single execution of a model with a given set of hyper-parameters. It takes care of
of managing the model process a... |
"""
This puzzle is based on:
https://en.wikipedia.org/wiki/Chinese_remainder_theorem
Reddit told me after I waited for a long long time burning my computer...
"""
import sys
from typing import Tuple
def find_bus_cadence(bus: int, cadence: int, start_time: int, offset: int) -> Tuple[int, int]:
timestamp = star... |
import io
import pytest
from django.core.management import call_command
from django.core.management.base import CommandError
prune_assignments = [
('guest', "['owner', 'guest', 'author', 'manager']", [6]),
('author', "['owner', 'author', 'manager']", [6, 9]),
('manager', "['owner', 'manager']", [6, 8, 9])... |
import spacy
# Defina o componente customizado
def length_component(doc):
# Calcule o tamanho do doc
doc_length = len(doc)
print(f"This document is {doc_length} tokens long.")
# Retorne o doc
return doc
# Carregue o modelo pequeno do idioma inglês
nlp = spacy.load("en_core_web_sm")
# Adicione o ... |
def provider(repo_provider,
repo_name,
user_name,
gitlab_addr=None,
repo_branch='master'):
"""Interface for git providers
Used to check which provider is being used
Args:
repo_provider: Repository provider (Github, GitLab)
repo_name: Repo... |
from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login
from .forms import LoginForm, RegistrationForm
from django.contrib import messages
from django.views.generic import TemplateView
class IndexV... |
"""
__kiltera_backward2trace_MDL.py_____________________________________________________
Automatically generated AToM3 Model File (Do not modify directly)
Author: levi
Modified: Tue Jan 27 12:00:37 2015
____________________________________________________________________________________
"""
from stickylink import *
fr... |
from django.shortcuts import render, redirect
from .forms import diarista_form
from .models import Diarista
# Create your views here.
def cadastrar_diarista(request):
if request.method == "POST":
form_diarista = diarista_form.DiaristaForm(request.POST, request.FILES)
if form_diarista.is_valid():
... |
import logging
from newrelic.agent import (FunctionTrace, callable_name,
function_wrapper, wrap_function_wrapper)
from .util import retrieve_current_transaction, NoneProxy
_logger = logging.getLogger(__name__)
try:
# sys._getframe is not part of the python spec and is not guaranteed to
# exist in all pyt... |
# neuronal network connection functions
import numpy as np
#
def gid2pos (numc, startgid, gid):
nrow = ncol = int(np.sqrt(numc))
y = int((gid - startgid) / nrow)
x = (gid - startgid) % ncol
return (x,y)
def prob2conv (prob, npre):
# probability to convergence; prob is connection probability, npre is number ... |
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