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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
.. See the NOTICE file distributed with this work for additional information
regarding copyright ownership.
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... |
import os, sys
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
from utils import _window_based_iterator
def test_window_based_iterator():
f = lambda x: x
for w1, w2, d in _window_based_iterator(list('123456789'), 3, f):
if w1 == w2:
assert d == 1
else:
expec... |
import copy
import numpy as np
import time
t0 = time.time()
grid = []
# for line in open("day15_example.txt"):
for line in open("day15_input.txt"):
# for line in open("day15_simple_break.txt"):
line = line.strip()
vec = []
for digit in line:
vec.append(int(digit))
grid.append(vec)
def look... |
"""Helper functions for interatcing with Magenta DDSP internals.
"""
import json
import os
from absl import logging
from ddsp.training import train_util
import tensorflow.compat.v2 as tf
from google.cloud import storage
def get_strategy(tpu='', gpus=None):
"""Chooses a distribution strategy.
AI Platform auto... |
from osgeo import gdal, ogr, osr
import numpy as np
from scipy.interpolate import RectBivariateSpline
import os
import sys
import matplotlib.pyplot as plt
from region import region
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
from descartes import PolygonPatch
class terrain:
def __init__(self):
... |
# MIT License
# Copyright (c) 2019 Runway AI, Inc
# 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, modify, merge,... |
# Test the difference in accuracy between sin() and Python's math.sin()
import math
import matplotlib.pyplot as plt
# Calculate sine of 'x' with 'n' iterations
def sin(x: float, n: int) -> float:
result = 0
for i in range(0, n):
result += (-1 ** i) * (x ** ((2 * i) + 1)) / math.factorial((2 * i) + 1)
... |
"""Tests for core module."""
from pathlib import Path
import pytest
from .helpers import append
from .helpers import branch
from .helpers import touch
from retrocookie import core
from retrocookie import git
from retrocookie import retrocookie
def in_template(path: Path) -> Path:
"""Prepend the template directo... |
import argparse
import ipaddress
import itertools
import logging
import os
import re
import secrets
import socket
import ssl
import sys
from random import shuffle
from typing import List, Tuple, Union
from urllib.parse import urlsplit
from . import base
_logger = logging.getLogger(__name__)
def configure_logging(lo... |
NU_ID = 0
GAMMA_ID = 1
EFFECTIVE_NUMBER_OF_COVARIATES_ID = 2
LOG_MARGINAL_LAPLACE_DIAG_VALIDATION_CRITERIA_ID = 3
TRAIN_ACCURACY_ID = 4
TEST_ACCURACY_ID = 5
TRAIN_CV_LOG_PROB_ID = 6
TRAIN_CV_ACC_ID = 7
ANMI_ID = 8
|
import django.utils.timezone
from django.db import models
from django.contrib.auth.models import User
POSITIONS = (
('P', 'P'),
('C', 'C'),
('1B', '1B'),
('2B', '2B'),
('3B', '3B'),
('SS', 'SS'),
('LF', 'LF'),
('CF', 'CF'),
('RF', 'RF'),
(... |
# © 2018 Software Freedom Conservancy (SFC)
#
# 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 ... |
# Given a n-ary tree, find its maximum depth.
#
# The maximum depth is the number of nodes along the longest path
# from the root node down to the farthest leaf node.
#
# Input: root = [1,null,3,2,4,null,5,6]
# Output: 3
#
# Input: root = [1,null,2,3,4,5,null,null,6,7,null,8,null,9,10,null,null,11,null,12,null,13,null,... |
FREECADPATH = '/usr/lib/freecad/lib'
import sys
sys.path.append(FREECADPATH)
from collections import defaultdict
import FreeCAD
import Mesh
import os
def export_stl(body_obj,filename):
__objs__=[]
__objs__.append(FreeCAD.getDocument("rs_winder").getObject(body_obj))
Mesh.export(__objs__,filename)
del _... |
#utility functions for demo
import os
import yaml
import sys
import json
import pandas as pd
import numpy as np
import urllib
import xmltodict
import csv
import warnings
import tensorflow as tf
from tqdm import tqdm
from keras_retinanet import models
from keras.utils import multi_gpu_model
from deepforest import _ROOT... |
# https://app.codesignal.com/arcade/code-arcade/loop-tunnel/7BFPq6TpsNjzgcpXy/
def leastFactorial(n):
# What's the highest factorial number that is bigger than n?
i, fact = (1, 1)
# Keep increasing a cumulative factorial until n can't no longer contain
# it. If n becomes 1, then n was a factorial, if n ... |
myl1 = [1,2,3,4]
print("Before clearing type is: "+ str(type(myl1)))
myl1 = myl1.clear()
print(myl1)
print("After clearing type is: "+ str(type(myl1)))
|
# © 2015-2020 Deltatech
# See README.rst file on addons root folder for license details
import datetime
import functools
import itertools
import logging
from ast import literal_eval
import psycopg2
from odoo import _, api, fields, models
from odoo.exceptions import UserError, ValidationError
from odoo.tools import ... |
# Import packages
from video_funcs import peri_stimulus_video_clip, register_arena, get_background
from termcolor import colored
# ========================================================
# SET PARAMETERS
# ========================================================
# file path of behaviour video
video_file_pa... |
# Generated by Django 3.2.6 on 2021-08-20 01:03
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('account', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='user',
name='data_contratacao',
),
... |
def new():
'''Add a new world
'''
pass
|
from typing import Optional
import numpy as np
from ... import BaseTask
from assembly_gym.environment.generic import RobotComponent
from .. import Reward
class EndEffectorAccelerationReward(Reward[BaseTask]):
"""
A reward for punishing high (linear and angular) end-effector accelerations.
"""
def _... |
from bokeh.plotting import figure
from bokeh.embed import components
from cachetools import cached
import datetime
from flask import current_app
import logging
import numpy as np
import pandas as pd
import requests
class InstrumdatKey:
def __init__(self, ticker, date=None):
self.ticker = ticker.upper()
... |
from torch import Tensor
from torch._C import dtype
import torch.nn
import torch.nn.functional
from kge import Config, Dataset
from kge.job import Job
from kge.model import KgeEmbedder
from kge.misc import round_to_points
from typing import List
class DiachronicEmbedder(KgeEmbedder):
def __init__(
self,... |
from flask import Flask, app
from config import config_options,DevConfig
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager
db = SQLAlchemy()
login_manager = LoginManager()
login_manager.session_protection = 'strong'
login_manager.login_view = 'main.login'
login_manager.login_message_catego... |
"""
Rackspace Cloud Backup API Utilities
"""
from __future__ import print_function
import cloudbackup.utils.printer # noqa
import logging
import os
def announce_banner(banner):
"""
Output a banner to both the log and normal output functionality
"""
log = logging.getLogger(__name__)
marker = '===... |
from typing import Optional
from ._db_span import db_span
from ._const import BEGIN, COMMIT, ROLLBACK, SQLITE
try:
import tortoise.backends.sqlite
except ImportError:
pass
else:
_tortoise_sqlite_client_execute_query = (
tortoise.backends.sqlite.client.SqliteClient.execute_query
)
_tortoise_... |
# -*- coding: utf-8 -*-
import cv2
import numpy as np
# Emboss filter
def emboss_filter(img, K_size=3):
H, W = img.shape
# Zero padding
pad = K_size // 2
out = np.zeros((H + pad * 2, W + pad * 2), dtype=np.float)
out[pad: pad + H, pad: pad + W] = img.copy().astype(np.float)
tmp = out.copy()
... |
import time
from .smoothing import smooth_path
from .rrt import TreeNode, configs
from .utils import irange, argmin, RRT_ITERATIONS, RRT_RESTARTS, RRT_SMOOTHING, INF, elapsed_time
def asymmetric_extend(q1, q2, extend_fn, backward=False):
if backward:
return reversed(list(extend_fn(q2, q1)))
return ext... |
# Adapters
# Protean
from protean.adapters.broker import Brokers
from protean.adapters.broker.celery import CeleryBroker, ProteanTask
from protean.adapters.broker.inline import InlineBroker
from protean.adapters.email import EmailProviders
from protean.adapters.email.dummy import DummyEmailProvider
from protean.adapter... |
# -*- coding: utf-8 -*-
from __future__ import division
__copyright__ = "Copyright (C) 2014 Andreas Kloeckner"
__license__ = """
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 restricti... |
tupla = 'zero', 'um', 'dois', 'três', 'quatro', 'cinco', 'seis', 'sete', 'oito', 'nove', 'dez', 'onze', 'doze', 'treze' \
, 'quatorze', 'quinze', 'dezesseis', 'dezessete', 'dezoito', 'dezenove', 'vinte'
while True:
escolher = int(input('Digite um número entre 0 e 20: '))
while escolher > 20 or escolher <= -... |
import av
import av.datasets
content = av.datasets.curated('pexels/time-lapse-video-of-night-sky-857195.mp4')
with av.open(content) as container:
# Signal that we only want to look at keyframes.
stream = container.streams.video[0]
stream.codec_context.skip_frame = 'NONKEY'
for frame in container.deco... |
class Solution:
def largestAltitude(self, gain: List[int]) -> int:
highest = 0
temp = 0
for num in gain:
temp += num
if temp > highest:
highest = temp
return highest
|
# The code for AlexNet is copied and adapted from the TensorFlow repository
# https://github.com/tensorflow/tensorflow/blob/master/tensorflow/models/image/alexnet/alexnet_benchmark.py.
import ray
import numpy as np
import tarfile, io
import boto3
import PIL.Image as Image
import tensorflow as tf
import ray.array.remo... |
#!/usr/bin/env python
# Copyright 2019 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... |
# uncompyle6 version 3.3.5
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.7.3 (default, Apr 24 2019, 15:29:51) [MSC v.1915 64 bit (AMD64)]
# Embedded file name: c:\Jenkins\live\output\win_64_static\Release\python-bundle\MIDI Remote Scripts\Push2\setup_component.py
# Compiled at: 2018-11-30 15:48:11
from __fu... |
# 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 --------------------------------------------------------------
# If ex... |
"""Dark matter - electron scattering
"""
import numericalunits as nu
import numpy as np
from scipy.interpolate import RegularGridInterpolator, interp1d
from scipy.integrate import quad, dblquad
from scipy.stats import binom
import wimprates as wr
export, __all__ = wr.exporter()
__all__ += ['dme_shells', 'l_to_letter',... |
from volt_meter import VoltMeter
#volt_meter = VoltMeter(17, .03, 2.25)
volt_meter = VoltMeter(23, .03, 2.25)
#volt_meter = VoltMeter(25, .03, 2.35)
def get_input():
value1 = input("Input value from 0 to 100: ")
volt_meter.set_meter_value(float(value1), 0, 100)
get_input()
if __name__ == "__main__":
... |
# Approach 4: Search Space Reduction
class Solution(object):
def searchMatrix(self, matrix, target):
"""
:type matrix: List[List[int]]
:type target: int
:rtype: bool
"""
if len(matrix) == 0 or len(matrix[0]) == 0:
return False
height = len(matrix)... |
"""
Copyright (c) 2020 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-2.0
Unless required by applicable law or agreed to in writin... |
def generate_instance_identity_document(instance):
return {
"instanceId": instance.id,
}
|
#!/usr/bin/env python3
"""
$ ./tools/js-dep-visualizer.py
$ dot -Tpng var/zulip-deps.dot -o var/zulip-deps.png
"""
import os
import re
import subprocess
import sys
from collections import defaultdict
from typing import Any, DefaultDict, Dict, List, Set, Tuple
Edge = Tuple[str, str]
EdgeSet = Set[Edge]
Method = str
M... |
# -*- coding: utf-8 -*-
import os
import pyloco
from .error import FreError
from .app import AppBuildAnalyzer
from .control import FrelptController
class FrelptTask(pyloco.Task):
_name_ = "frelpt"
_version_ = "0.1.1"
def __init__(self, parent):
self.add_data_argument("target", help="filepath t... |
"""
Management of Docker Containers
.. versionadded:: 2015.8.0
.. versionchanged:: 2017.7.0
This module has replaced the legacy docker execution module.
:depends: docker_ Python module
.. _`create_container()`: http://docker-py.readthedocs.io/en/stable/api.html#docker.api.container.ContainerApiMixin.create_conta... |
"""Models module."""
from enum import Enum
class Gender(str, Enum):
"""Gender enum."""
MALE = "male"
FEMALE = "female"
|
import argparse
parser = argparse.ArgumentParser(
description='Filter assays.'
)
parser.add_argument(
'--in', nargs='+',
help='input assay files'
)
parser.add_argument(
'--out',
help='output assay file'
)
parser.add_argument(
'--swath_windows',
help='SWATH isolation window file'
)
assay_f... |
# 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... |
#!/usr/bin/env python
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you ma... |
# Straightforward implementation of the Singleton Pattern
import yaml
import pathlib
#import picamera_colllecter
class Configuration(object):
_instance = None
def __new__(cls):
if cls._instance is None:
cls._instance = super(Configuration, cls).__new__(cls)
# Put any initializ... |
"""
Check subclassing strange thingies.
"""
import support
try:
class foo(12): pass
except TypeError, e:
pass
else:
raise support.TestError("expecting a TypeError for attempting to subclass integer instance")
|
from typing import Dict
class BaseModel(object):
"""Abstract base class for learner model
Defines necessary operations for the underlying
learner model; training, prediction, classification
probabilities, and decision function results. In order
for an initial or improved learner to use a future-d... |
# Create your views here.
from django.shortcuts import render_to_response, get_object_or_404
from django.http import HttpResponseRedirect
from django.contrib.comments.models import Comment
from models import Post
from django.template import RequestContext
def comment_posted(request):
comment_id = request.GET['c']
... |
def CuboidVolume():
length = int(input("Masukkan panjang : "))
width = int(input("Masukkan lebar : "))
height = int(input("Masukkan ketinggian : "))
cuboidVolumeCalc = length*width*height
return cuboidVolumeCalc
def SilinderVolume(pi):
radius = int(input("Masukkan jejari : "))
height = int(... |
# -*- coding: utf-8 -*-
"""
jishaku.cog
~~~~~~~~~~~~
The Jishaku debugging and diagnostics cog implementation.
:copyright: (c) 2021 Devon (Gorialis) R
:license: MIT, see LICENSE for more details.
"""
from discord.ext import commands
from jishaku.features.filesystem import FilesystemFeature
from jishaku.features.g... |
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
import zipfile
import io
import pydicom
from pydicom import dcmread
from pydicom.filebase import DicomBytesIO
import requests
from tqdm import tqdm
pbar = tqdm(total=197)
def getImageUrl(sid):
baseurl = 'https://services.cancerimagingarchive.net/services/v3/TCIA'
... |
"""
Print messages to terminal depending on a given verbosity level.
Similar to the Python logging module. Also meant to be used as Singleton.
The verbosity levels are:
- CRITICAL
- ERROR
- WARNING
- INFO
- DETAILS
- DEBUG
- DEBUG2
The default verbosity is `WARNING`.
"""
import textwrap
# should match the values... |
import asyncio
import json
import random
import time
from collections import namedtuple
from functools import partial
from typing import Dict, Iterable, List, Tuple
import discord
import lxml
import markovify
from aiofile import AIOFile
from discord.ext import commands
from requests_html import HTML, HTML... |
import requests
import json
import yaml
def search(text):
words = "+".join(text.split())
url = f"https://www.youtube.com/results?search_query={words}&sp=EgIQAQ%253D%253D"
response = requests.get(url)
response_json = get_json(response.text)
write_json("response", response_json)
videos = get_vide... |
import networkx as nx
import matplotlib.pyplot as plt
from random import randint
from math import inf
import geopy.distance
G=nx.Graph()
def make_nodes():
# node list
locations = {
"Melbourne University": (-37.798248386903616, 144.9609632686033),
"Monash University": (-37.907144361086004, 145.... |
import numpy as np
from dasy.core import DataSynthesizer
#TODO: switch from numpy random to Generator
class UniformSynth(DataSynthesizer):
"""
Samples from a single Uniform Distribution on an interval
"""
def __init__(self, dim, low=-10., high=10.):
super().__init__(dim)
self.low = low... |
import luigi
from typing import Dict, Any
import torch
import torch.nn as nn
import numpy as np
from numpy.random.mtrand import RandomState
from mars_gym.model.bandit import BanditPolicy
from typing import Dict, Any, List, Tuple, Union
from mars_gym.meta_config import ProjectConfig
from mars_gym.model.abstract import ... |
# Lint as: python3
#
# Copyright 2021 The XLS Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... |
import numpy as np
def getPoints(width,height,H):
points=np.zeros((4,2))
point=np.zeros(3)
point[2]=1
points[0]=(np.matmul(H,point.T)/np.matmul(H,point.T)[2])[:2]
point[1]=height-1
points[1]=(np.matmul(H,point.T)/np.matmul(H,point.T)[2])[:2]
point[0]=width-1
points[3]=(np.matmul(H,point.T)/np.matmul(H,point.T... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright 2013 Kitware 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 cop... |
from datetime import date
from dateutil.relativedelta import relativedelta
from django.db.models import Count, Sum
from django.db.models.functions import TruncMonth
from project.models import Project, ProjectUserMembership
from stats.models import ComputeDaily
from .util import parse_efficiency_result_set, seconds_to... |
# Copyright 2017 Battelle Energy Alliance, 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 t... |
import numpy
import cv2
import matplotlib.pyplot as plt
class Chess_calibration_points:
mtx = []
dist = []
def __init__(self, image_names, chess_size):
obj_points = [] # 3d points in real world space
img_points = [] # 2d points in image plane.
img_shape = []
objp = numpy.zer... |
#!/usr/bin/env python3
import unittest
import os
import sys
from pathlib import Path
import numpy as np
from PIL import Image
from daltonlens import convert, simulate, generate
test_images_path = Path(__file__).parent.absolute() / "images"
class TestCVD(unittest.TestCase):
def checkModels(self, im, models_to_... |
#!python
# External dependencies
import numpy as np
import pandas as pd
"""
Usage :
data = {
"data": {
"candles": [
["05-09-2013", 5553.75, 5625.75, 5552.700195, 5592.950195, 274900],
["06-09-2013", 5617.450195, 5688.600098, 5566.149902, 5680.399902... |
# Generated by Django 2.1 on 2020-09-07 11:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('people', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='person',
name='phone',
field=m... |
# -*- coding: utf-8 -*-
# @Author: jerry
# @Date: 2017-09-26 20:06:50
# @Last Modified by: jerry
# @Last Modified time: 2017-09-26 20:07:47
class Duck:
def quack(self):
print("這鴨子在呱呱叫")
def feathers(self):
print("這鴨子擁有白色與灰色羽毛")
class Person:
def quack(self):
print("這人正在模仿鴨子")
... |
import logging
import os
import csv
from datetime import datetime, timedelta
from pathlib import Path
def new_transaction_lists(impact, t_lists, account_name, network_name):
"""Transforms new transaction records by adding the Impact tracker ID for the environment (desktop/mobile),
finding the correct Impac... |
from typing import List
import torch.nn as nn
import torch
class GramMatrix(nn.Module):
"""
Base Gram Matrix calculation as per Gatys et al. 2015
"""
def forward(self, input):
b, c, h, w = input.size()
F = input.view(b, c, h*w)
G = torch.bmm(F, F.transpose(1, 2))
G = G... |
import random
import string
# Directly copied from anki utils!
# used in ankiweb
def _base62(num, extra=""):
s = string
table = s.ascii_letters + s.digits + extra
buf = ""
while num:
num, i = divmod(num, len(table))
buf = table[i] + buf
return buf
_base91_extra_chars = "!#$%&()*... |
import unittest
from os import environ
from nbs.prime import Prime
class TestRequest(unittest.TestCase):
def test_api(self):
address = environ.get('PRIME_ADDRESS')
username = environ.get('PRIME_USER')
password = environ.get('PRIME_PASS')
prime = Prime(address, username, pa... |
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
"""
Stub functions that are used by the Amazon API Gateway unit tests.
When tests are run against an actual AWS account, the stubber class does not
set up stubs and passes all calls through to the Boto3 client.
... |
import database.sqlite3
import datetime
def is_new_article(title):
database.sqlite3.set_conn()
db = database.sqlite3.get_conn()
count = db.cursor().execute(''' SELECT * FROM article WHERE title = ? ''', [title])
is_new = count.fetchone() is None
print("Checking if article with title '" + title + "... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import numpy as np
import progressbar
vec_repr = {}
DOT = '.'
COMMA = ','
COLON = ':'
SEMICOLON = ';'
QUOTATION = '"'
DOLLAR = '$'
PERCENT = '%'
EXCLAMATION = '!'
QUESTION = '?'
DIV = '/'
R_OPEN = '('
R_CLOSE = ')'
S_OPEN = '['
S_CLOSE = ']'
ELLIPSIS = '…'
LONG... |
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import time
BATCH_SIZE = 16
EPOCHS = 5
mnist = tf.keras.datasets.mnist
(train_images, train_labels), (test_images, test_labels) = mnist.load_data()
train_images = (np.expand_dims(train_images, axis=-1)/255).astype(np.float32).reshape((60000, 7... |
#!/usr/bin/env python
import rospy
import cv2
import numpy as np
from sensor_msgs.msg import Image, CompressedImage
from cv_bridge import CvBridge
from geometry_msgs.msg import Vector3Stamped
from byakugan.msg import BoolStamped
def dispo(img, circles):
if (circles is not None):
circles = np.uint16(np.around(circl... |
import random
import matplotlib.pyplot as plt
import numpy as np
from sklearn import decomposition as sk_dec
from sklearn import preprocessing as sk_prep
import torch
def seed(value: int = 42):
np.random.seed(value)
torch.manual_seed(value)
torch.cuda.manual_seed(value)
random.seed(value)
def plot_... |
# To run the program correctly, change the lines below with your database server or local database.
host_name = 'academic-mysql.cc.gatech.edu'
database_name = 'cs4400_group1'
user_name = 'cs4400_group1'
password = 'ehiHGsY7' |
"""Script for analysing the results from the 16 different seeds from the 11 systems."""
# It also parses the gsd format trajectory stored in each output analysis folder (obtained by executing conv_traj.py before this script) to get the RDFs."""
import os
import shutil
from glob import glob
import freud
import matplotl... |
#!/usr/bin/env python
# Copyright (c) 2016-2020 Dell Inc. or its subsidiaries.
#
# 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 r... |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2013 Cisco Systems, 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... |
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
def fun():
df= pd.read_csv("conveter.csv")
df1=df.dropna(axis=1, how='any', thresh=None, subset=None, inplace=False)
#df1.to_csv("edited.csv",index=False)
sns.pairplot(df1,dropna=True,hue='SSID',diag_kind='hist')
plt.show()
#fun() |
import pandas as pd
import quandl
import math
import numpy as np
from sklearn import preprocessing, cross_validation, svm
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
from matplotlib import style
import datetime
import time
import pickle
style.use('ggplot')
df = quandl.get('WIKI... |
# Copyright 2018 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... |
#!/usr/bin/env python
"""
Inmarsat Modbus Proxy Adapter for ClearBlade connects to your ClearBlade cloud/platform using secure credentials.
In ClearBlade you define Collections that map an IDP MobileID to a proxy IP address and TCP port.
The Adapter runs on an Edge device such as Raspberry Pi, reads the mapping from th... |
import sys, os
from os.path import dirname
root_path = dirname(dirname(os.getcwd()))
sys.path.insert(0, root_path) # insert root directory to environmental variables
from GFMM.accelbatchgfmm import AccelBatchGFMM
import numpy as np
from functionhelper.prepocessinghelper import loadDataset
if __name__ == '__main__':
... |
# Generated by Django 3.0.14 on 2021-06-09 17:48
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("iaso", "0090_auto_20210604_1553"),
("iaso", "0089_profile_language"),
]
operations = []
|
from guet.commands import CommandFactory
from guet.committers import Committers2 as Committers
from guet.committers import CurrentCommitters
from guet.files import FileSystem
from guet.steps import Step
from guet.steps.check import HelpCheck, VersionCheck
from guet.steps.preparation import InitializePreparation, SwapTo... |
"""
==============================================
Plot which vertices are inside the same voxels
==============================================
Show lines connecting vertices on the flatmap that are actually within the same
voxels in a given scan.
Here, we used advanced compositing to be explicit about display optio... |
"""
Tests for the Command Manager.
"""
# ----------------------------------------------------------------------------
# Imports
# ----------------------------------------------------------------------------
import unittest
import os
from enso.commands.manager import CommandObjectRegistry
from enso.commands.manag... |
from spotify.app import app
|
import sys
sys.path.insert(0, "../computerVision/")
import FaceDetection
import VideoStream
import cv2
#Initialise the face detection on camera 1
#If you are using your laptop camera or if you don't have embedded camera on your laptop , change 1 by 0
faceStream = FaceDetection.FaceStream(1)
exit = False
print faceSt... |
from .classifiers.linear import MulticlassLogisticRegression
from .encoders.sklearnencoders import ExperimentalPCA, ExperimentalIncrementalPCA, ExperimentalUMAP
from .encoders.dictembedding import DictEmbedding
classifiers_dict = {
'LogisticRegression': MulticlassLogisticRegression,
}
encoders_dict = {
'P... |
# MINLP written by GAMS Convert at 05/07/21 17:13:00
#
# Equation counts
# Total E G L N X C B
# 189 5 0 184 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc si
# ... |
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