text stringlengths 2 999k |
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#!/usr/bin/env python
"""Planner class that derives from search based planner. It defines festure calculation, normalization and
heuristic calculation.
The train and test planner derive from this planner"""
from collections import defaultdict
from math import atan2, pi
import numpy as np
import time
from planning_py... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
r"""Registry is central source of truth in Habitat.
Taken from Pythia, it is inspired from Redux's concept of global st... |
import numpy as np
import scipy.misc
import IPython
logsumexp = scipy.misc.logsumexp
class GoalPredictor(object):
max_prob_any_goal = 0.99
log_max_prob_any_goal = np.log(max_prob_any_goal)
def __init__(self, goals):
self.goals = goals
self.log_goal_distribution = np.log((1./len(self.goals))*np.ones(len(... |
import os
def onoff(v):
if v in ["yes", "1", "on"]:
return True
elif v in ["no", "0", "off"]:
return False
raise ValueError(f"invalid {v}")
def argparser(parser):
"""Default argument parser for regressions.
"""
parser.add_argument("--local",
action="store_true",
... |
from .. import Provider as PhoneNumberProvider
class Provider(PhoneNumberProvider):
formats = (
'69########',
'69## ######',
'69## ### ###',
'210#######',
'210 #######',
'210 ### ####',
'2##0######',
'2##0 ######',
'2##0 ### ###',
... |
#
# Here we define common geometric primitives along with utilities
# allowing to find distance from point to the line, to find intersection point
# of two lines, and to find the length of the line in two dimensional Euclidean
# space.
#
import math
def deg_to_rad(degrees):
"""
The function to convert degrees... |
"""
Copyright (c) 2008-2020, Jesus Cea Avion <jcea@jcea.es>
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, this list of... |
import boto3
from uuid import uuid4
from collections import defaultdict
import time
from pandas import DataFrame
import datetime
import numpy as np
import pandas
import requests
pandas.set_option(
"display.max_rows", None, "display.max_columns", None, "display.width", 1000, "display.max_colwidth", None
)
def get... |
from os.path import dirname, join
from setuptools import find_packages, setup
KEYWORDS = []
CLASSIFIERS = [
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: Implementation :: CPython',
'Program... |
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: inertial.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _refl... |
from ledger.accounts.models import EmailUser
from rest_framework import serializers
from rest_framework_gis.serializers import GeoFeatureModelSerializer
from disturbance.components.approvals.models import ApiarySiteOnApproval
from disturbance.components.main.utils import get_category, get_tenure, get_region_district, ... |
# Need to import path to test/fixtures and test/scripts/
# Ex : export PYTHONPATH='$PATH:/root/test/fixtures/:/root/test/scripts/'
#
# To run tests, you can do 'python -m testtools.run tests'. To run specific tests,
# You can do 'python -m testtools.run -l tests'
# Set the env variable PARAMS_FILE to point to your ini ... |
# -*- coding: utf-8 -*-
################################################################################
# _____ _ _____ _ #
# / ____(_) / ____| | | #
# | | _ ___ ___ ___ | (___ _ _ ___... |
"""
Mask R-CNN
The main Mask R-CNN model implemenetation.
Copyright (c) 2017 Matterport, Inc.
Licensed under the MIT License (see LICENSE for details)
Written by Waleed Abdulla
"""
import os
import random
import datetime
import re
import math
import logging
from collections import OrderedDict
import multiprocessing
i... |
import program.program as program
if __name__ == "__main__":
# Entry point for Robomaster S1 programs. Actual code should be
# in the program directory.
program.start()
|
"""Applies a LUT to a GeoTIFF"""
import argparse
import os
import numpy as np
from osgeo import gdal, osr
def geotiff_lut(geotiff, lutFile, outFile):
# Suppress GDAL warnings
gdal.UseExceptions()
gdal.PushErrorHandler('CPLQuietErrorHandler')
# Read GeoTIFF and normalize it (if needed)
inRaster = gdal.Op... |
#!/usr/bin/env python
#
# Electrum - lightweight Bitcoin client
# Copyright (C) 2015 Thomas Voegtlin
#
# 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... |
# Time: O(n), per operation
# Space: O(1)
#
# Implement a trie with insert, search, and startsWith methods.
#
# Note:
# You may assume that all inputs are consist of lowercase letters a-z.
#
class TrieNode:
# Initialize your data structure here.
def __init__(self):
self.is_string = False
self.... |
import copy
import logging
import random
import time
import numpy as np
import torch
import wandb
from .utils import transform_list_to_tensor
class FedAVGAggregator(object):
def __init__(self, train_global, test_global, all_train_data_num,
train_data_local_dict, test_data_local_dict, train_data... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... |
import numpy as np
import urllib.request, json, time, os, copy, sys
from scipy.optimize import linprog
from collections import defaultdict as ddict
global penguin_url, headers
penguin_url = 'https://penguin-stats.io/PenguinStats/api/'
headers = {'User-Agent':'ArkPlanner'}
Price = dict()
with open('price.txt', 'r', en... |
# Copyright (C) 2020 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Tests export functionality."""
from integration.ggrc import generator
from integration.ggrc import TestCase
from integration.ggrc.models import factories
class TestBasicExport(TestCase):
"""Test basic ... |
def answer_type(request, json_list, nested):
for question in json_list:
if question['payload']['object_type'] == 'task_instance':
question['answer_class'] = 'task_answer'
|
# -*- coding: utf-8 -*-
__version__ = '0.4.0'
|
from dataclasses import dataclass, field
import sphinxcontrib.bibtex.plugin
from sphinxcontrib.bibtex.style.referencing import BracketStyle
from sphinxcontrib.bibtex.style.referencing.author_year \
import AuthorYearReferenceStyle
def bracket_style() -> BracketStyle:
return BracketStyle(
left='(',
... |
#!/usr/bin/env python
# -*- coding: utf8 -*-
import setuptools
from setuptools.command.develop import develop
from setuptools.command.install import install
class DevelopScript(develop):
def run(self):
develop.run(self)
ntlk_install_packages()
class InstallScript(install):
def run(self):
... |
import pandas as pd
import random
from math import floor
def train_val_split(df, perc):
random.seed(966)
pop = int(df.shape[0])
k = floor(pop*perc)
sample = random.sample(list(range(pop)), k)
train = df[df.index.isin(sample)]
val = df[~df.index.isin(sample)]
return train, val
if __na... |
'''
Script to migrate users to the ESGF database. Rules:
1) non-local users (i.e. users that logged onto CoG with an external openid) are ignored
2) if a user is local but has no local openid, look for ESGF users with that same email:
a) if found, try to associate that openid to the CoG user, if possible
b) if... |
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
import json
import time
from nas_big_data.covertype.problem_ae import Problem
from nas_big_data.covertype.load_data import load_data
_, (X_test, y_test) = load_data(use_test=True)
arch_seq = [
9,
1,
30,
1,
1,
28,
1,
1,
0,
2... |
"""
Support for DLNA DMR (Device Media Renderer).
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/media_player.dlna_dmr/
"""
import asyncio
from datetime import datetime
from datetime import timedelta
import functools
import logging
import aiohttp
import... |
"""Implementation for dbus.Bus. Not to be imported directly."""
# Copyright (C) 2003, 2004, 2005, 2006 Red Hat Inc. <http://www.redhat.com/>
# Copyright (C) 2003 David Zeuthen
# Copyright (C) 2004 Rob Taylor
# Copyright (C) 2005, 2006 Collabora Ltd. <http://www.collabora.co.uk/>
#
# Permission is hereby granted, free ... |
"""[Node for all modules,
Takes all funstions here for the main file]
"""
from SetNoti import *
from Speech import * # imports speech_recognition as sr
from BOOT import * # imports pandas as pd, os, PasswordGenerator
from Mails.BootMails import * # imports SendmMails
from Authentication.FaceDetection import * # im... |
# Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class SpectrumMpi(Package):
"""IBM MPI implementation from Spectrum MPI."""
homepage = "htt... |
from anygraph import Many
class Node(object):
nexts = Many('prevs')
prevs = Many('nexts')
if __name__ == '__main__':
node_1 = Node()
node_2 = Node()
node_3 = Node()
node_1.nexts = [node_2, node_3]
node_2.nexts.include(node_3)
node_3.nexts.include(node_1)
visited = []
def on... |
API_KEY = "myapikey"
SECRET_KEY = "mysecretkey" |
"""
Function lesson
"""
def is_even(number):
if number%2 == 0:
return True
else:
return False
def hello(name='Ada', age='15'):
print('Hello,', name)
print('You are {} years old'.format(age))
hello(name='Baiboon', age=17)
number = 21
print('is {} an even? {}'.format(number, is_e... |
# Copyright 2019 Nokia
# 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, softwar... |
# Copyright 2022 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... |
import logging
import os
import structlog
def get_logger(log_name: str = __name__) -> structlog._config.BoundLoggerLazyProxy:
"""Just stubbed out in case we want later configuration."""
stagename = os.environ.get("STAGE", "user")
processors = [
# This performs the initial filtering, so we don't
... |
import requests
from openstates import metadata
def coords_to_divisions(lat, lng):
url = f"https://v3.openstates.org/divisions.geo?lat={lat}&lng={lng}"
divisions = []
try:
data = requests.get(url).json()
for d in data["divisions"]:
divisions.append(d["id"])
divisions.ap... |
"""
Functions for preparing various inputs passed to the DataFrame or Series
constructors before passing them to a BlockManager.
"""
from __future__ import annotations
from collections import abc
from typing import (
TYPE_CHECKING,
Any,
Hashable,
Sequence,
cast,
)
import warnings
import numpy as n... |
import torch
from ca_particles import ParticleSimulation, CAModel, CASimulation, CATrainer
if __name__ == '__main__':
env_size = 24
cell_dim = 16
hidden_dim = 512
batch_size = 32#128
wall_pad = 2
train_steps = 4096*4
seed = 55
device = torch.device('cuda')
pretrain_path = 'checkpoin... |
"""
https://portswigger.net/web-security/csrf/lab-token-validation-depends-on-request-method
"""
import sys
import requests
from bs4 import BeautifulSoup
site = sys.argv[1]
if 'https://' in site:
site = site.rstrip('/').lstrip('https://')
s = requests.Session()
url = f'https://{site}/'
resp = s.get(url)
soup = ... |
# import os
import pytest
import tempfile
from stl import stl
def _test_conversion(from_, to, mode, speedups):
for name in from_.listdir():
source_file = from_.join(name)
expected_file = to.join(name)
if not expected_file.exists():
continue
mesh = stl.StlMesh(source_... |
from __future__ import absolute_import, division, print_function
from tornado.concurrent import Future
from tornado import gen
from tornado import netutil
from tornado.iostream import IOStream, SSLIOStream, PipeIOStream, StreamClosedError
from tornado.httputil import HTTPHeaders
from tornado.log import gen_log, app_log... |
#!/usr/bin/env python3
#
# Copyright 2018-2019 PSB
#
# 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 ... |
from .. import *
from ..getterdone_gpu import *
import cupy as cp
import cudf, cuml, xgboost
# import dask_cudf
import cuxfilter, cusignal
from ..measures.bootstrap import *
# from ..viewer.PlotBootstrap import *
def comp_square_displacement_rapids(df,t_col='t',pos_col_lst=['x','y']):
'''computes the squared disp... |
import sqlite3 as sqlite
from history import get_history
import numpy as np
import math
from collections import defaultdict
DBNAME = 'data.db'
N = 20
n = 5
rate = 0.8
num = 5
cache = {}
cats = {}
def query(statement):
conn = sqlite.connect(DBNAME)
cur = conn.cursor()
cur.execute(statement)
res = cur.... |
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
import time
from gaiatest import GaiaTestCase
from gaiatest.apps.music.app import Music
class TestMusic(GaiaTestCase):... |
'''
default settings for publication app
override in main settings
'''
from datetime import timedelta
PUBLICATION_NOTIFICATION_SENDER_EMAIL = 'emailsender@mytardisserver'
PUBLICATION_OWNER_GROUP = 'publication-admin'
PUBLICATION_SCHEMA_ROOT = 'http://www.tardis.edu.au/schemas/publication/'
# This schema holds biblio... |
from django.contrib import admin
from .models import *
from django.contrib.auth.models import User
from django.contrib.auth.admin import UserAdmin as BaseUserAdmin
# Register your models here.
class RadioItemsInline(admin.StackedInline):
model = RadioItems
class PickerItemsInline(admin.StackedInline):
model = ... |
raise Exception('Bad') # equivalent of 'throws' in Java
# can extend this class to adjust the behaviour
raise FileExistsError('File Exist error oh no!') |
# MIT No Attribution
# Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# 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 limitatio... |
import pyaf.Bench.TS_datasets as tsds
import tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 1024 , FREQ = 'D', seed = 0, trendtype = "PolyTrend", cycle_length = 0, transform = "Anscombe", sigma = 0.0, exog_count = 20, ar_order = 0); |
from pymongo import MongoClient
import pprint
client = MongoClient()
db = client['NoSQL']
EPL = db["match"]
def getTeamDetails(teamName):
result = EPL.aggregate([
{"$match": {"$or": [{"AwayTeam": teamName}, {"HomeTeam": teamName}]}},
{"$group": {
"_id": "null",
"Matches": {... |
# -*- coding: utf-8 -*-
"""
TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-权限中心(BlueKing-IAM) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with th... |
from unittest.case import TestCase
from oo.carro import Motor, Direcao, Carro
class CarroTestCase(TestCase):
def test_velocidade_inicial(self):
motor = Motor()
self.assertEqual(0,motor.velocidade)
def test_acelerar_first(self):
motor = Motor()
motor.acelerar()
self.ass... |
import os
import tensorflow as tf
import numpy as np
import random
import math
class Simulator():
def __init__(self, type) -> None:
if type == 'D':
# deuteranope
self.color_matrix = tf.convert_to_tensor([[1, 0, 0], [0.494207, 0, 1.24827], [0, 0, 1]])
elif type == 'P':
... |
# -*- coding: utf-8 -*-
import libvirt, time
import virtinst.util as util
from django.utils.translation import ugettext_lazy as _
from django.shortcuts import render_to_response
from django.http import HttpResponseRedirect
from virtmgr.model.models import *
def index(request, host_id):
if not request.user.is_authent... |
#!/bin/env python
import argparse
import os
import sys
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), "../"))
from pmg.search import Search, Transforms
from pmg import app
if __name__ == "__main__":
data_types = Transforms.data_types() + ["all"]
parser = argparse.ArgumentParser(de... |
import base64
from urllib import parse
import rsa
from reqs.login import LoginReq
from .base_class import Forced, Wait, Multi
class LoginTask(Forced, Wait, Multi):
TASK_NAME = 'null'
@staticmethod
async def check(_):
return (-2, None),
@staticmethod
async def work(user):
# 搞两层的... |
# coding=utf-8
# Copyright 2018 The OpenAI Team Authors and HuggingFace Inc. team.
# 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... |
# -*- coding: utf-8 -*-
#
# Copyright 2015 Benjamin Kiessling
#
# 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 ... |
import first
|
# -*- coding: utf-8 -*-
#
# Copyright 2015-2020 BigML
#
# 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 morion.filewriter import register_writer
from .writer_templates import standard_experiment_write, standard_component_write
from .models import IV, Wafer, Die
from pathlib import Path
def get_header(header_name: str):
filepath: Path = Path(__file__).parent / 'headers' / header_name
return str(filepath)
... |
from PIL import Image
og_image = Image.open("img/pikachu.png")
image = Image.new(og_image.mode, og_image.size)
for col in range(image.width):
for row in range(image.height):
coords = (col, row,)
flip_coords = (image.width - col - 1, row,)
pixel = og_image.getpixel(flip_coords)
ima... |
from sys import maxsize
class Group:
def __init__(self, name=None, header=None, footer=None, id=None):
self.name = name
self.header = header
self.footer = footer
self.id = id
def __repr__(self):
return "%s:%s;%s;%s" % (self.id, self.name, self.header, self.footer)
... |
import operator, random
from twisted.trial.unittest import TestCase
from axiom.iaxiom import IComparison, IColumn
from axiom.store import Store, ItemQuery, MultipleItemQuery
from axiom.item import Item, Placeholder
from axiom import errors
from axiom.attributes import (
reference, text, bytes, integer, AND, OR,... |
# Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
from numpyro.infer.barker import BarkerMH
from numpyro.infer.elbo import (
ELBO,
RenyiELBO,
Trace_ELBO,
TraceGraph_ELBO,
TraceMeanField_ELBO,
)
from numpyro.infer.hmc import HMC, NUTS
from numpyro.infer.hmc_gibbs im... |
import pytest
import responses
from sparkpost import SparkPost
from sparkpost.exceptions import SparkPostAPIException
@responses.activate
def test_success_campaigns():
responses.add(
responses.GET,
'https://api.sparkpost.com/api/v1/metrics/campaigns',
status=200,
content_type='app... |
#!/usr/bin/env python
import sys
import os
import libtorrent
if len(sys.argv) < 3:
print('usage make_torrent.py file tracker-url')
sys.exit(1)
input = os.path.abspath(sys.argv[1])
fs = libtorrent.file_storage()
#def predicate(f):
# print f
# return True
#libtorrent.add_files(fs, input, predicate)
parent_input =... |
""" Assignment6 """
'''
This exercise builds on assignment 5 and explores sending mail programatically using smtplib
Assuming that you have imported the data into the database in previous assignment,
write a click script (collegereport.py) which will take a college acronym (say gvp)
and sends out a class report to a ... |
# https://open.kattis.com/problems/problemclassification
import sys, collections, functools
def main(a, b):
for _ in range(int(input())): name, *items = map(str, input().split()); a[name] = items[1:]
for l in sys.stdin.readlines():
for k in a: b[k] += sum([l.split().count(c) for c in a[k]])
print(*sorted([k... |
#!/usr/bin/env python
# coding: utf-8
# # Matrix Plots
#
# Matrix plots allow you to plot data as color-encoded matrices and can also be used to indicate clusters within the data (later in the machine learning section we will learn how to formally cluster data).
#
# Let's begin by exploring seaborn's heatmap and clu... |
"""Implement the Google Smart Home traits."""
from __future__ import annotations
import logging
from homeassistant.components import (
alarm_control_panel,
binary_sensor,
camera,
cover,
fan,
group,
input_boolean,
input_select,
light,
lock,
media_player,
scene,
scrip... |
#!/usr/bin/env python3
import os
import celery.signals
import run_p2rank_task
prankweb = celery.Celery("prankweb")
if "CELERY_BROKER_URL" in os.environ:
prankweb.conf.update({
"broker_url":
os.environ["CELERY_BROKER_URL"]
})
elif "CELERY_BROKER_PATH" in os.environ:
prankweb.conf.update... |
__author__ = "Radical.Utils Development Team (Andre Merzky, Ole Weidner)"
__copyright__ = "Copyright 2013, RADICAL@Rutgers"
__license__ = "MIT"
import radical.utils.testing as rut
# ------------------------------------------------------------------------------
#
class TestConfig (rut.TestConfig):
#-----... |
# !
# * Copyright (c) Microsoft Corporation. All rights reserved.
# * Licensed under the MIT License. See LICENSE file in the
# * project root for license information.
from typing import Optional, Union, List, Callable, Tuple
import numpy as np
import datetime
import time
try:
from ray import __versio... |
"""Retrieve a variable from the variables file or definition."""
# pyright: reportIncompatibleMethodOverride=none
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any
from typing_extensions import Final, Literal
from .base import LookupHandler
if TYPE_CHECKING:
from ...utils i... |
# coding=utf-8
from stash.tests.stashtest import StashTestCase
class CompleterTests(StashTestCase):
def setUp(self):
StashTestCase.setUp(self)
self.complete = self.stash.completer.complete
def test_completion_01(self):
newline, possibilities = self.complete('pw')
assert newli... |
log_level = 'INFO'
load_from = None
resume_from = None
dist_params = dict(backend='nccl')
workflow = [('train', 1)]
checkpoint_config = dict(interval=10)
evaluation = dict(
interval=10, metric=['PCK', 'AUC', 'EPE'], key_indicator='AUC')
optimizer = dict(
type='Adam',
lr=5e-4,
)
optimizer_config = dict(grad... |
import tensorflow as tf
from collections import namedtuple
# Model Parameters
tf.flags.DEFINE_integer(
"vocab_size",
91620 ,
"The size of the vocabulary. Only change this if you changed the preprocessing")
# Model Parameters
tf.flags.DEFINE_integer("embedding_dim", 100, "Dimensionality of the embeddings")
tf.fl... |
# flake8: noqa
"""
下载证券宝5分钟bar => vnpy项目目录/bar_data/
"""
import os
import sys
import csv
import json
from collections import OrderedDict
import pandas as pd
from datetime import datetime, timedelta
vnpy_root = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..'))
if vnpy_root not in sys.path:
sys.pa... |
# Import packages
import matplotlib.pyplot as plt
import numpy as np
import pylustrator
# Use scientific plot style
plt.style.use('scientific')
# Create dummy data
x = np.linspace(0, 4*np.pi, 200)
y1 = np.sin(x)
y2 = np.cos(x)
# Start pylustrator
pylustrator.start()
# Create panelled figure
fig = plt.figure()
ax1 =... |
import cv2
import numpy as np
image = cv2.imread('1.jpg')
result = image.copy()
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255,cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (5,5))
dilate = cv2.dilate(thresh, kernel, iterations=3)
cn... |
"""Documentation configuration."""
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup ------------------------------------... |
# Author
# Peter Svenningsson
# Email
# peter.o.svenningsson@gmail.com
###########
# IMPORTS #
###########
# Standard
import time
import csv
import json
# 3rd party
import numpy as np
import matplotlib.pyplot as plt
# Local
from dataset.dataset_QSNMC import QSNMCDataset
from models.izencovich_neuron import SimpleIzenco... |
# Copyright 2018 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... |
#!/usr/bin/python3
from datetime import timedelta
from io import StringIO
import collections
import functools
import os
import string
import pytest
from hypothesis import given, settings, HealthCheck, assume
import hypothesis.strategies as st
import srt
REGISTER_SETTINGS = lambda name, **kwargs: settings.register_p... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from ncc.modules.seq2seq.ncc_incremental_decoder import NccIncrementalDecoder
from ncc.modules.embedding import Embedding
from ncc.utils import utils
from ncc.modules.adaptive_softmax import AdaptiveSoftmax
from ncc.modules.common.layers import (
Li... |
state = [ # nested list
["*","*","*"],#i0
["*","*","*"],
["*","*","*"]
]
def checkWin(x, y):
for i in range(3):
if x[i][0] == x[i][1] == x[i][2] == y:
return y
if x[0][i] == x[1][i] == x[2][i] == y:
return y
if x[0][0] == x[1][1] == x[2][2] == y:
... |
import torch
import torch.nn as nn
def conv(*a, **kwa):
return nn.Conv2d(*a, **kwa)
def convlayer(in_c, out_c, kernel_size=3, stride=1, padding=1):
return nn.Sequential(
conv(in_c, out_c, kernel_size=kernel_size,
stride=stride, padding=padding, bias=True),
nn.BatchNorm2d(out_c),... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
Model interpretability is often very specific to the model and thus TorchX
provides examples of how to create... |
import discord
from datetime import datetime, timedelta
import asyncio
from discord.ext import commands as bot_commands
from discord.ext import tasks
class FridayCog(bot_commands.Cog):
def __init__(self, bot):
self.bot = bot
@bot_commands.Cog.listener()
async def on_ready(self):
aw... |
import logging
import queue
import random
import string
import time
import uuid
import asyncio
import concurrent.futures
import signal
import attr
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s,%(msecs)d %(levelname)s: %(message)s",
datefmt="%H:%M:%S",
)
@attr.s
class PubSubMessage:
ins... |
import math
from ray.rllib.agents.a3c.a3c import DEFAULT_CONFIG as A3C_CONFIG, \
validate_config, get_policy_class
from ray.rllib.optimizers import SyncSamplesOptimizer, MicrobatchOptimizer
from ray.rllib.agents.a3c.a3c_tf_policy import A3CTFPolicy
from ray.rllib.agents.trainer_template import build_trainer
from r... |
# -*- coding: utf-8 -*-
"""Inception V3 model for Keras.
Note that the input image format for this model is different than for
the VGG16 and ResNet models (299x299 instead of 224x224),
and that the input preprocessing function is also different (same as Xception).
# Reference
- [Rethinking the Inception Architecture... |
import os
import re
import argparse
import subprocess as sp
def compress(tag, archieved_dir):
for dir_path, _, file_list in os.walk(f'./data_{tag}'):
for file_name in file_list:
full_path = os.path.join(dir_path, file_name)
date = re.findall(r'\d{8}', full_path)[0]
fn, e... |
import datetime
from decimal import Decimal
from cypherpunkpay.models.charge import Charge
from cypherpunkpay.models.user import User
# SQLite3 does not offer strong typing. We do want to make sure the types are exactly what we expect.
# Hence, manual type assertions for Python objects that are subject to db CRUD.
... |
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