content stringlengths 5 1.05M |
|---|
from talon import Module
mod = Module()
@mod.capture(rule="matching")
def cursorless_matching_pair_symbol(m) -> str:
return {"modifier": {"type": "matchingPairSymbol"}}
|
# Generated by Django 3.2.5 on 2021-07-20 17:30
from django.db import migrations
def secrets_to_nbsecrets(apps, schema_editor):
try:
ObjectChange = apps.get_model('extras', 'ObjectChange')
ContentType = apps.get_model('contenttypes', 'ContentType')
ctsecret = ContentType.objects.get(app_... |
# Data Parallel Control (dpctl)
#
# Copyright 2020-2021 Intel Corporation
#
# 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.... |
import subprocess
import traceback
# for python 3.x
def runtime_exec(command):
msg = {}
try:
result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)
if int(result.returncode) != 0:
print('script output: {0}'.format(result.stdout))
... |
#!/usr/bin/env python
"""Django DDP Presentation Project."""
import os.path
from setuptools import setup, find_packages
setup(
name='dddppp',
version='0.0.1',
description=__doc__,
long_description=open('README.rst').read(),
author='Tyson Clugg',
author_email='tyson@clugg.net',
url='https://... |
# Generated by Django 2.2.2 on 2019-08-31 20:05
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('source_optics', '0020_statistic_days_before_joined'),
]
operations = [
migrations.AddField(
model_name='statistic',
... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -----------------------------------------------------------------... |
import pandas as pd
import numpy as np
import re
import pickle as pk
np.random.seed(seed=7)
data_path = './data-toxic-kaggle/train.csv'
pkl_path = './data-toxic-kaggle/toxic_comments_100.pkl'
perturbed_path = './data-toxic-kaggle/toxic_comments_100_perturbed.pkl' # perturbed by Edwin's script
perturbed_path = './dat... |
#!/usr/bin/env python3
from typing import Optional
class CircularQueue:
def __init__(self, capacity: int = 10):
self._capacity = capacity + 1
self._items = [None] * self._capacity
self._head = 0
self._tail = 0
@property
def capacity(self) -> int:
return self._capa... |
from flask import Flask
from flask_migrate import Migrate
from .config import Config
from .models import db
from .handlers import routes
def create_app():
app = Flask(__name__)
app.config.from_object(Config)
db.init_app(app)
db.app = app
migrate = Migrate(app, db)
for route in routes:
... |
# -*- coding: utf-8 -*-
"""Workchain to run Quantum ESPRESSO calculations that generate DoS and PDoS for a structure.
This requires four computations:
- SCF (pw.x), to generate the initial wavefunction.
- NSCF (pw.x), to generate eigenvalues, generally with a denser k-point mesh and tetrahedra occupations.
- Total Do... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
'''
ground.py
File containing functions used on ground
Distributed under the 3-Clause BSD License (below)
Copyright 2019 Rensselaer Polytechnic Institute
(Dr. John Christian, Devin Renshaw, Grace Quintero)
Redistribution and use in source and binary forms,
with or without... |
#!/usr/bin/env python3.8
# Copyright 2020 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
import textwrap
import unittest
from unittest import mock
from typing import AbstractSet, Iterable
import action_tracer
... |
import matplotlib.pyplot as plt
import numpy as np
from numba import jit
from timeit import default_timer as timer
import random
start = timer()
# PARAMETERS TO CHANGE THE FRACTAL GENERATED
seq = "AB" # sequence to alternate r values
probability = 75 # probability that a given value i... |
from mythx_models.response import AuthLogoutResponse
def test_auth_login_response_from_valid_json():
resp = AuthLogoutResponse()
assert resp.dict() == {}
|
# -*- coding: utf-8 -*-
from django.utils.translation import ugettext_lazy as _
from django import forms
from django.contrib import admin
from publication_backbone.models import Publication
from .models import PromoPluginModel
from salmonella.widgets import SalmonellaIdWidget
from fluent_contents.forms import ContentIt... |
from .anchor import *
from .constraints import *
from .edge import *
from .graph import *
from .multi_edge import *
from .node import *
from .tools import *
del anchor
del constraints
del edge
del graph
del multi_edge
del node
del tools
|
import os
import pytest
from iotedgedev.envvars import EnvVars
from iotedgedev.output import Output
from iotedgedev.utility import Utility
from .utility import assert_list_equal, assert_file_equal, assert_json_file_equal
pytestmark = pytest.mark.unit
tests_dir = os.path.join(os.getcwd(), "tests")
test_assets_dir =... |
from nwck_class_3 import Newick_Tree
import numpy as np
f=open('data/data.dat')
junk=f.readline()
s1=f.readline().strip()
s2=f.readline().strip()
f.close()
n=Newick_Tree(s1)
m=Newick_Tree(s2)
X=np.zeros((3,3,max(n.tree.keys())+2,len(m.tree.keys())+2))
#Z=np.zeros((3,3,max(n.tree.keys())+2,len(m.tree.keys())+2))
def x... |
import csv
import numpy as np
import os
import pandas as pd
import sys
import sklearn.model_selection
#path = sys.argv[1]
def read_patients(path='C:/Users/nealm/Dropbox (Brown)/MIMIC DATA/mimic-iii-clinical-database-1.4/mimic-iii-clinical-database-1.4'):
patients = pd.read_csv(os.path.join(path, 'PATIENTS.csv.gz')... |
from copy import deepcopy
import torch
import os, sys
import_path = os.path.abspath('.')
sys.path.insert(1, import_path)
from vg_neural_network import NeuralNetwork
from vg_game_state import GameState
from vg_logger import Logger
import logger
import coach
initial_state = GameState.initial(8, 8)
logger_ = Logger()... |
from scheme_runner import SchemeTestCase, Query, out
cases = [
SchemeTestCase(
[
Query(code=['(define (f (variadic x)) (cons 10 x))'], expected=out("f")),
Query(code="f", expected=out("(f (variadic x)) [parent = Global]")),
Query(code=['(f 2 3)'], expected=out("(10 2 3)"... |
letters="ABCDEFGHIJKLMNOPQRSTUVWXYZ"
numbers="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26"
pos=numbers.find (input("WRITE STUFF? "))
print(pos)
|
import numpy as np
import warnings
from pycompss.api.api import compss_delete_object
from pycompss.api.constraint import constraint
from pycompss.api.task import task
from dislib.data.array import Array, full, eye
from dislib.data.util import compute_bottom_right_shape, \
pad_last_blocks_with_zeros
from dislib.da... |
#!/usr/bin/env python3
import math
def solution(A, B, K):
"""
Returns the number of integers within the range [A..B] that are divisible by K
"""
first = math.ceil(A / K) * K
if first > B:
return 0
last = math.floor(B / K) * K
return ((last - first) // K) + 1
|
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="ogsolar", # The python module name.
version="4.6", # The version of the module.
author="Paul Austen", ... |
class SettingsDict(dict):
def __getattr__(self, name):
if name not in self:
raise AttributeError
return self[name]
def __setitem__(self, key, value):
raise AttributeError('SettingsDict properties are immutable')
def _hash_key(self):
keys_and_values = []
... |
'''
Created on Apr 12, 2011
@author: Yuri Corilo
'''
class Constants():
atomic_exact_masses = {'H': 1.007825032239,
'D': 2.0141017778,
'T': 3.0160492777,
'He': 4.00260325415,
'6Li': 6.015122795,
'7Li': 7.... |
import configparser
# CONFIG
config = configparser.ConfigParser()
config.read('dwh.cfg')
# DROP TABLES
staging_events_table_drop = "DROP TABLE IF EXISTS staging_events;"
staging_songs_table_drop = "DROP TABLE IF EXISTS staging_songs;"
songplay_table_drop = "DROP TABLE IF EXISTS songplays;"
user_table_drop = "DROP T... |
from datetime import timedelta
from ebedke.utils.date import days_lower, on_workdays
from ebedke.utils.text import pattern_slice
from ebedke.utils.http import get_dom
from ebedke.pluginmanager import EbedkePlugin
URL_ROOT = "http://stexhaz.hu/index.php/hu/etl/deli-ajanlat"
@on_workdays
def get_menu(today):
dom ... |
# Copyright 2020 MONAI Consortium
# 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 os
from dateutil.parser import parse
from glob import glob
import shutil
from django.core.management import BaseCommand
from django.utils import timezone
from presqt.utilities import read_file
class Command(BaseCommand):
def handle(self, *args, **kwargs):
"""
Delete all mediafiles that h... |
from typing import Dict, List, cast
import logging
import copy
from overrides import overrides
from allennlp.data.instance import Instance
from allennlp.data.tokenizers.tokenizer import Tokenizer
from allennlp.data.tokenizers import Token
from allennlp.data.tokenizers.whitespace_tokenizer import WhitespaceTokenizer
f... |
# -*- coding: utf-8 -*-
"""HackerNewsV4.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1dtIIRFFq81O97i6azALZbqBYgoVsUKvD
"""
from warnings import filterwarnings
filterwarnings("ignore")
import pandas as pd
import json
import urllib
import reque... |
import faulthandler
faulthandler.enable()
import numpy as np
import tensorflow as tf
from tensorflow import keras as ks
import os
from models import build_model
from csbdeep.utils.tf import limit_gpu_memory
from datawrapper import make_sequence
limit_gpu_memory(fraction=0.75, allow_growth=False)
# run_opts = tf.Ru... |
# coding: utf-8
'''
.. versionadded:: 0.21
'''
from __future__ import absolute_import, print_function, unicode_literals
from functools import wraps
import logging
import platform
import sys
import threading
if sys.version_info <= (3, 4):
import trollius as asyncio
from ._async_py27 import run_command
else:
... |
import numpy as np
from pychemia.utils.periodic import atomic_number, covalent_radius, cpk_colors
class StructurePovray:
def __init__(self, structure):
self.structure = structure
self.distance = 10
def create_pov(self):
ret = """
#version 3.7;
#include "colors.inc" // The include... |
# -*- coding: utf-8 -*-
"""
Copyright (c) 2021, Ontario Institute for Cancer Research (OICR).
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... |
"""This modules allows for convenient error functions imports"""
from .http_error import http_error_handler
from .validation_error import http422_error_handler
from .creation_error import creation_error_handler
__all__ = ["http_error_handler", "http422_error_handler", "creation_error_handler"]
|
"""Sensitivity analysis funcs for sensitivity analysis clinic at CSDMS 2019.
Written by Nathan Lyons, May 2019
"""
from csv import DictWriter
from os import listdir
from os.path import isfile, join
import numpy as np
from pandas import concat, read_csv
def get_problem_dict():
# Get the path of the file with the... |
from git import Repo
def clone(url, destiny):
return Repo.clone_from(url, destiny) |
import argparse
import json
import os
import sys
from io import StringIO
import pytest
import yaml
from bootstrap.lib.options import Options
from bootstrap.lib.options import OptionsDict
from bootstrap.lib.utils import merge_dictionaries
def reset_options_instance():
Options._Options__instance = None
sys.ar... |
import pylast
import configparser
import logging
import time
import argparse
from pathlib import Path
logger = logging.getLogger()
temps_debut = time.time()
def lastfmconnect():
config = configparser.ConfigParser()
config.read("config.ini")
api_key = config["lastfm"]["api_key"]
api_secret = config["l... |
print("consume") |
# -*- coding: UTF-8 -*-
#import math
from math import sqrt
# a = input ("Valor A")
# b = input ("Valor B")
a = float (input("Valor A:"))
b = float (input("Valor B:"))
c = float (input("Valor C:"))
b2 = b**2
delta = b2 - (4*a*c)
try:
raizquadrada = sqrt(delta)
x1 = (-b-raizquadrada)/(2*a)
x2 = (-b + ra... |
from distutils.core import setup
from distutils.extension import Extension
from Cython.Build import cythonize
try:
from Cython.Distutils import build_ext
except:
from distutils.command import build_ext
try:
import numpy as np
except:
raise ImportError('NumPy must be installed.')
def get_extensions()... |
import streamlit as st
import pandas as pd
import numpy as np
from sklearn.svm import SVC
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.metrics impor... |
import numpy as np
import argparse
from depth_evaluation_utils import compute_error_3d
parser = argparse.ArgumentParser()
parser.add_argument("--pred_file", type=str, help="Path to the prediction file")
parser.add_argument("--gt_file", type=str, help="Path to the Ground truth file")
parser.add_argument('--min_limit'... |
import logging
import os
import sys
import itertools
import json
import torch
from misc import util
from .executor import ExecutorTrainer
class IliadTrainer(ExecutorTrainer):
def _remove_loops_in_paths(self, paths):
new_paths = []
for path in paths:
new_path = []
visited... |
#프로그램을 구성하는 독립적인 단위를
#각각 정의하고 관리하는 방법
#자주 사용하는 일반적인 기능은 모듈로 한번 만들어 두면
#필요할때 마다 도입해서 활용 할 수 있다.
#모듈 : 관련성 있는 데이터들, 함수,클래스
#모듈을 사용하려면 import 명령으로 인터프리터에게
#사용여부를 알려야 한다
#import random
# 인터프리에게 사용여부를 알림 (import)
#import random
#import random as r #별칭으로줄여쓰기
#from random import randint #모듈명 줄여쓰기
#from math import pi
#from ... |
from django.urls import reverse_lazy
from django.views import generic
from django.contrib.auth.forms import UserCreationForm
from .models import User
class MyUserCreationForm(UserCreationForm):
class Meta(UserCreationForm.Meta):
model = User
fields = ['username']
class UserCreate(generic.edit.Create... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class ZhimaCreditEpSceneRatingInitializeModel(object):
def __init__(self):
self._apply_amount = None
self._biz_ext_param = None
self._credit_category = None
self._ep_cer... |
import unittest
import xr
class TestSuccessResult(unittest.TestCase):
def setUp(self):
self.exc = xr.Success()
def test_docstring(self):
self.assertEqual("Function successfully completed.", self.exc.__doc__)
def test_construct(self):
self.assertEqual("Function successfully compl... |
from __future__ import with_statement
import codecs
import os
from django.conf import settings
from django.test import TestCase, RequestFactory
from django.utils.encoding import smart_str
from django_gears.finders import AppFinder
from django_gears.views import serve
TESTS_DIR = os.path.dirname(__file__)
FIXTURES_... |
import cv2
import numpy as np
def findSpaces(line, thres_space):
# making vertical projections
verProj = cv2.reduce(line, 0, cv2.REDUCE_AVG)
# make hist - same dimension as horProj - if 0 (space), then True, else False
th = 0; # black pixels threshold value. this represents the space lines
hist = ... |
import math
import os
from pathlib import Path
from utils.cacti_config import cacti_config
################################################################################
# MEMORY CLASS
#
# This class stores the infromation about a specific memory that is being
# generated. This class takes in a process object, the i... |
import rasterio
def test_band():
with rasterio.open('tests/data/RGB.byte.tif') as src:
b = rasterio.band(src, 1)
assert b.ds == src
assert b.bidx == 1
assert b.dtype in src.dtypes
assert b.shape == src.shape
|
from django.shortcuts import render, redirect
from django.views import View
from lisibilite.Lisibilite import Lisibilite
class HomePageView(View):
def get(self, request):
"""
The function to handle the HTTP GET request for home page.
:param request: The django HTTP request object
:return The render object
... |
import os
import subprocess
def test_db_import():
import fiftyone.db
assert os.path.isfile(
os.path.join(fiftyone.db.FIFTYONE_DB_BIN_DIR, "mongod")
)
def test_db_exec():
import fiftyone.db
subprocess.check_call(
[os.path.join(fiftyone.db.FIFTYONE_DB_BIN_DIR, "mongod"), "--versi... |
import requests
import json
import geojson
import csv
try:
import urllib3.contrib.pyopenssl
urllib3.contrib.pyopenssl.inject_into_urllib3()
except ImportError:
pass
url = "http://localhost:8080/routing/api/v1/isochrone"
class Point(object):
def __init__(self, lon, lat):
self.lon = lon
... |
import os
import click
import dotenv
CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help'])
cli = click.Group(name='vuejs-doc-pdf', help="Build pdf of vue.js guides", context_settings=CONTEXT_SETTINGS)
def project_relative_path(*args):
return os.path.join(os.path.dirname(os.path.realpath(__file__)), *args)... |
import pulsar as psr
def load_ref_system():
""" Returns triphenylene as found in the IQMol fragment library.
All credit to https://github.com/nutjunkie/IQmol
"""
return psr.make_system("""
C 1.23839 0.71468 -0.00000
C 1.23839 -0.71468 -0.00000
... |
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 30 10:24:51 2019
@author: if715029
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
import sklearn.metrics as skm
import scipy.spatial.distance as sc
#%%
digits = datasets.load_digits()
#%%
ndig = 100
for k in np... |
import matplotlib.pyplot as plt
import numpy as np
"""
def imgmul(y):
z3=np.zeros(2,dtype=int)
z3[0,0]=y[0,0]*y[0,0]+y[1,1]*y[1,1]
z3[0,1]=y[0,0]*y[0,1]+z1[0,1]*z2[0,0]
return z3
def E(x):
return x*x
def DE_Dx(x):
return 2*x
x=10
Er=[E(x)]
num... |
# Copyright 2017-2021 Lawrence Livermore National Security, LLC and other
# Hatchet Project Developers. See the top-level LICENSE file for details.
#
# SPDX-License-Identifier: MIT
import pstats
import sys
import pandas as pd
import hatchet.graphframe
from hatchet.node import Node
from hatchet.graph import Graph
fro... |
from selenium import webdriver
from time import sleep
from PIL import Image
from requests import get
from io import BytesIO
from itertools import count
from sys import argv
from bs4 import BeautifulSoup
if len(argv) == 1:
print('No arguments, aborting...')
exit()
elif not argv[1].startswith('https://www.scribd... |
from shserver.shserver import ShortingServer
if __name__ == "__main__":
server = ShortingServer("0.0.0.0", 8000)
server.run()
|
# percol configuration
# https://github.com/mooz/percol
# percol.view.PROMPT = ur"<bold><yellow>X / _ / X</yellow></bold> %q"
# percol.view.PROMPT = ur"<cyan>Input:</cyan> %q"
# Change prompt in response to the status of case sensitivity
percol.view.__class__.PROMPT = property(
lambda self:
ur"<bold><yellow>X... |
from .base import ObjectList, Object
__all__ = ['UserList', 'User']
class UserList(ObjectList):
get_instance_cls = lambda self: User
class User(Object):
@property
def name(self):
return self.fullname
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""gpx2geojson: GPX to GeoJSON / KML converter.
GUI application for merging kashmir3d-generated multiple
GPX files into a single file, decimating track points,
and converting into a GeoJSON or KML file,
both of which are specified in
https://maps.gsi.g... |
import statsmodels.api as sm
import statsmodels.tsa as tsa
import scipy.stats as stats
import numpy as np
from datetime import datetime, timedelta
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from statsmodels.stats.outliers_influence import variance_inflation_factor
fr... |
# -*- coding: utf-8 -*-
import torch
def minibatch_stddev_layer(x, group_size=4):
"""Appends a feature map containing the standard deviation of the minibatch.
Note:
Implemented as described in `this paper <https://arxiv.org/pdf/1710.10196.pdf>`_.
`Reference <https://github.com/tkarras/progres... |
import sys
sys.path.append('')
from src.parser.queryExecutor import Executor
import json
class Interface():
def __init__(self):
self._executor = Executor()
def add_index(self, query):
return self._executor.execute_indexing(query)
def add_figures(self, data):
queries = []
... |
"""Define an object to deal with trash/recycling data."""
import asyncio
from collections import OrderedDict
from datetime import datetime
from enum import Enum
from typing import Awaitable, Callable, Dict
from urllib.parse import quote_plus
from aiocache import cached
import pytz as tz
from ics import Calendar
from ... |
import argparse
import json
import logging
import sys
import time
from datetime import datetime
import paho.mqtt.client as client
import paho.mqtt.publish as publish
from Sensors import Sensors
from getmac import get_mac_address
from pytz import timezone
# Author: Gary A. Stafford
# Date: 10/11/2020
# Usage: python3 ... |
import time
import pytest
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
@pytest.fixture
def driver(request):
# Chrome:
wd = webdriver.Chrome()
print(wd.ca... |
from typing import Dict
from aenum import Enum
from aerisweather.requests.ParameterType import ParameterType
from aerisweather.requests.RequestAction import RequestAction
from aerisweather.requests.RequestFilter import RequestFilter
from aerisweather.requests.RequestLocation import RequestLocation
from aerisweather.r... |
# Python
import os
import sys
import traceback
# Pycompss
from pycompss.api.task import task
from pycompss.api.parameter import FILE_IN, FILE_OUT
# Adapters commons pycompss
from biobb_adapters.pycompss.biobb_commons import task_config
# Wrapped Biobb
from biobb_analysis.gromacs.gmx_rgyr import GMXRgyr # Importing cla... |
import requests
import os
import random
import string
import json
chars = string.ascii_letters + string.digits + '!@#$%^&*()'
# This is an array of email extensions; you can add whatever in here
# todo: put this in a json file instead
emails = ["outlook.com", "gmail.com", "yahoo.com", "hotmail.com", "aol.com", "iclou... |
"""Base with abstract classes for all parsers."""
from abc import ABC, abstractmethod
from typing import Dict, List, Union
from pydantic import BaseModel
class BaseParser(ABC):
"""Base structure for parsers."""
model = BaseModel # Pydantic model to describe the response
def __init__(self, content_resp... |
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import asyncio
import json
import os
import time
from unittest.mock import Mock, patch
import pytest
from azure.core.credentials import AccessToken
from azure.core.exce... |
# Copyright (c) 2019-2020 by Rocky Bernstein
#
# 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 3 of the License, or
# (at your option) any later version.
#
# This program is... |
from spira.yevon.io.input_gdsii import *
from spira.yevon.io.output_gdsii import *
|
from django.shortcuts import render
from django.template import Context
from . import forms, models
from django.http import HttpResponse, HttpResponseRedirect
from django.views.generic import CreateView
#beautiful soup is just an awesome name for a python package
#urllib not so much, a bit basic iff i'm honest
impo... |
from multiprocessing import Pool
from typing import Union, Tuple, List
import SimpleITK as sitk
import numpy as np
from batchgenerators.utilities.file_and_folder_operations import join, subfolders, subfiles, save_json, isfile, \
load_json, isdir
from surface_distance import compute_surface_distances
from kits21.c... |
from main.view import View
from main.controller import Controller
import subprocess
class RebootView(View):
def __init__(self, controller: Controller):
super().__init__(controller)
def update_display(self, canvas, bounding_box):
canvas.text((40, 20), "Reboot?", fill="white")
canvas.tex... |
#!/usr/bin/env python3
import urllib.request, urllib.error, json, sys
from os.path import join, expanduser, isfile, exists
from os import makedirs
# Configurations
# Location to save downloaded wallpapers
# Leave the IMAGE_DIR empty to use default directory /Users/USERNAME/Pictures/BingWallpaper
# Or you can set you... |
# Generated by Django 3.2.2 on 2021-05-18 21:13
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('images', '0003_auto_20210517_1022'),
]
operations = [
migrations.AlterModelOptions(
name='location',
options={'order... |
#
# Copyright (c) nexB Inc. and others. All rights reserved.
# ScanCode is a trademark of nexB Inc.
# SPDX-License-Identifier: Apache-2.0
# See http://www.apache.org/licenses/LICENSE-2.0 for the license text.
# See https://github.com/nexB/scancode-toolkit for support or download.
# See https://aboutcode.org for more in... |
import unittest
from sequence_generation import topological_sort, intersect, State_Space_Error, \
Topology, State_Search_Flags, Node, Stateful_Node, Input, Output, PowerState, \
state_difference, Wire, Constraint
from enzian_descriptions import enzian_nodes, enzian_wires, ISPPAC
imp... |
# zhoudoao@foxmail.com
# 2020.5.12
""" Bayesian LeNet-5 and LeNet-5 model.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.compat.v2 as tf
import tensorflow_probability as tfp
tf.enable_v2_behavior()
tfd = tfp.distributions
def ba... |
"""Each ListNode holds a reference to its previous node
as well as its next node in the List."""
class ListNode:
def __init__(self, value, prev=None, next=None):
self.value = value
self.prev = prev
self.next = next
"""Wrap the given value in a ListNode and insert it
after this node.... |
from option import option
import pytest
from typing import Optional, Callable
def test_some():
opt = option.some(5)
assert opt == 5
assert isinstance(opt, int)
def test_some_exception():
with pytest.raises(option.InvalidArgument):
option.some(None)
def test_none():
assert option.none()... |
def get_action_value(mdp, state_values, state, action, gamma):
""" Computes Q(s,a) as in formula above """
return sum(
prob * (mdp.get_reward(state, action, state_dash) + gamma * state_values[state_dash])
for state_dash, prob in mdp.get_next_states(state, action).items()
)
|
import torch
from torch import tensor
import torch.nn as nn
import sys,os
import math
import sys
sys.path.append(os.getcwd())
from lib.utils import initialize_weights
# from lib.models.common2 import DepthSeperabelConv2d as Conv
# from lib.models.common2 import SPP, Bottleneck, BottleneckCSP, Focus, Concat, Detect
from... |
# -*- coding: utf-8 -*-
from wakatime.main import execute
from wakatime.packages import requests
import logging
import os
import time
import shutil
import sys
import uuid
from testfixtures import log_capture
from wakatime.arguments import parse_arguments
from wakatime.compat import u, is_py3
from wakatime.constants ... |
# --------------
# Importing header files
import numpy as np
import warnings
warnings.filterwarnings('ignore')
#New record
new_record=[[50, 9, 4, 1, 0, 0, 40, 0]]
#Reading file
data = np.genfromtxt(path, delimiter=",", skip_header=1)
#Code starts here
census=np.concatenate((new_record,data))
... |
#!/usr/bin/env python
from ..exrpc.rpclib import *
from ..exrpc.server import *
from ..mllib.model_util import ModelID
class df_to_sparse_info:
'''A python container for holding information related to dataframe to sparse conversion'''
def __init__(cls,info_id):
cls.__uid = info_id
def load(cls,dirname):
... |
#!/usr/bin/env python
from math import radians
import rospy
from sensor_msgs.msg import LaserScan
from geometry_msgs.msg import Twist
class Obstacle():
def __init__(self):
rospy.init_node('obstacle')
self.LIDAR_ERR = 0.05
self._cmd_pub = rospy.Publisher('cmd_vel', Twist, queue_size=1)
... |
import os
import sys
import logging
import logging.handlers
from logging_gelf.handlers import GELFUDPSocketHandler
from collections import defaultdict
LOG_LEVELS = {
"DEBUG": logging.DEBUG,
"INFO": logging.INFO,
"WARNING": logging.WARNING,
"ERROR": logging.ERROR,
"CRITICAL": logging.CRITICAL
}
cl... |
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