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# Code adapted from https://github.com/google-research/google-research/tree/master/flax_models/cifar
# Original copyright statement:
# Copyright 2020 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You ... |
import argparse
import json
import time
import sys,os, copy
import tensorflow as tf
import numpy as np
# sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
from competitor.common.paths import RESULTS_DIR
from competitor.models.loader import load_model, load_env
from competitor.heurist... |
from lib import log
from lib.log import exception, warning
from version import VERSION_FOR_BUG_REPORTS
from paths import CLIENT_LOG_PATH
log.set_version(VERSION_FOR_BUG_REPORTS)
log.add_secure_file_handler(CLIENT_LOG_PATH, "w")
log.add_http_handler("http://jlpo.free.fr/soundrts/metaserver")
log.add_console_handler()
i... |
from django.contrib.gis import admin
from .models import (Photographer, PhotoSubcategory,
Photo, PhotoFlag, PhotoCategory)
from django.utils.safestring import mark_safe
from django.contrib.admin import SimpleListFilter
from django.contrib.gis.db import models
from django.urls.base import reverse
fr... |
"""This module provides classes for performing syntactic aggregation.
For example, 'Roman is programming.' and 'Roman is singing' can be
put together to create 'Roman is programming and singing.'
"""
import logging
from copy import deepcopy
from nlglib.features import NUMBER, category
from nlglib.macroplanning imp... |
#!/usr/bin/env python3
# Copyright 2018 The MLPerf 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 ... |
from django.shortcuts import get_object_or_404, get_list_or_404
from django.http import Http404
from django.db.models import Q
from django.contrib.postgres.search import SearchQuery
from django.utils import timezone
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framewo... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Create the data for the LSTM.
"""
import os
import sys
import argparse
import numpy as np
import h5py
import itertools
from collections import defaultdict
class Indexer:
def __init__(self, symbols = ["<blank>","<unk>","<s>","</s>"]):
self.vocab = defaultdi... |
"""functions related to sampling
handful of functions here, related to sampling and checking whether
you're sampling correctly, in order to avoid aliasing
when doing something like strided convolution or using the pooling windows from
plenoptic, you want to make sure you're sampling the image appropriately, in
order ... |
"""
/***************************************************************************
Plugin Installer module
Plugin version comparison functions
-------------------
Date : 2008-11-24
Copyright : (C) 2008 by <NAME... |
import urllib.request
from bs4 import BeautifulSoup
from django.core.exceptions import ObjectDoesNotExist
import re
from standard.models import *
from projects.models import *
dwc_url = 'http://rs.tdwg.org/dwc/terms/'
simple_dwc_url ='http://rs.tdwg.org/dwc/terms/simple/'
def get_dwc_html(url=dwc_url):
opener = ... |
"""
Specification for objects to be accessed, for the purpose of dataframe
interchange between libraries, via the ``__dataframe__`` method on a libraries'
data frame object.
For guiding requirements, see https://github.com/data-apis/dataframe-api/pull/35
Concepts in this design
-----------------------
1. A `Buffer`... |
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------
# Copyright (c) 2021
#
# See the LICENSE file for details
# see the AUTHORS file for authors
# ----------------------------------------------------------------------
#--------------------
# System wide imports
# ----------... |
#!/usr/bin/env python3
import argparse
import copy
from collections import defaultdict
from pathlib import Path
import os
import sys
import time
import numpy as np
import pandas as pd
from sklearn.metrics import f1_score, precision_recall_fscore_support, log_loss, average_precision_score
import torch
import torch.opt... |
import json
import platform
import subprocess
import time
import requests
from ._version import __version__ # noqa: F401
class NotificationError(Exception):
'''Notification Error'''
pass
class BaseNotification:
'''Notification Superclass'''
def set_typed_variable(self, value, specified_type):
... |
import re
import collections
import xml.etree.ElementTree as ET
import itertools
from . import DEFAULT_CP2K_INPUT_XML
class GeneratorError(Exception):
pass
class SectionNotFoundError(Exception):
pass
class KeywordNotFoundError(Exception):
pass
class SectionParametersNotFoundError(Exception):
pa... |
import os
import numpy as np
import cv2
import sys
import argparse
import pathlib
import glob
import time
sys.path.append('../../')
from util import env, inverse, project_so, make_dirs
from mesh import Mesh
import scipy.io as sio
"""
Draw a 3 by n point cloud using open3d library
"""
def draw(vertex):
import o... |
import time
import os
import gym
import gym_panda
import reflexxes
import pybullet as p
import math
import numpy as np
import cv2
import pandas as pd
class MovementData:
def __init__(self, id):
self.mov_id=id
self.currentPosition = [0.0, 0.0, 0.0]*2
self.currentVelocity = [0.0, 0.0, 0.0]*2
... |
from pathlib import Path
import numpy as np
import pandas as pd
import nibabel as nib
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
color_tables_dir = Path(__file__).parent
class Parcellation:
def __init__(self, parcellation_path):
self.parcellation_path = Path(parcellation_path)
... |
# -*- coding: utf-8 -*-
import os
import asyncio
from hashlib import md5
from pathlib import Path
from tempfile import mkstemp
from base64 import b64decode, b64encode
from collections import namedtuple
from lxml import etree
from .. import getLogger
from ..errors import (BadRequestStanzaError, XmppError,
... |
#!/usr/bin/python
from jinja2 import Template, Environment, FileSystemLoader
import json
import autopep8
import os
import re
import sys
def replaceSpecialChars(str):
return str.replace('-', '_').replace('.', '_').replace('+', 'plus')
def getModuleName(path, name):
return replaceSpecialChars(path.lower()) + "... |
#!/usr/bin/env python
# coding: utf-8
import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_table as dt
import plotly as py
import plotly.graph_objects as go
import pandas as pd
import numpy as np
# init dash app
from dash.dependencies import Input, Output
from src.... |
#!/usr/bin/env python3
import itertools
from os.path import join, exists
from os import mkdir
from sys import stderr
import argparse
# command for finding the best configuration from log*.err files
# for X in log.*.err ; do cat $X | grep acc | sed "s/\(epoch [^ ]*\)\(.* acc: \)\([^ ]*\).*/\3 \1 $X/" ; done | sort -n... |
import datetime
import django
from django import db
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.shortcuts import _get_queryset
from django.utils import six
from django.utils.text import slugify
try:
from django.utils import timezone
except ImportError:
t... |
# mypy: allow-untyped-defs, no-strict-optional
import pytest
from advpipe.language_model.label_classification import OrganismLabelClassifier
@pytest.fixture
def organism_label_classifier():
return OrganismLabelClassifier()
organism_labels = [
'Arctic Wolf',
'Basilisk',
'Black panther',
'Bobolin... |
import csv
import numpy as np
from lightfm import LightFM
import scipy.sparse
from sklearn.metrics import label_ranking_average_precision_score
import math
import random
import pickle
def loadUserFeatures(i_file, n_users):
print('Loading user graph...')
A = scipy.sparse.lil_matrix((n_users, n_users), dtype=in... |
#!/usr/bin/env python2
import cv2
import sys, random, socket, struct
import numpy as np
from math import sqrt, sin, cos, pi, atan2, fmod
#################
# Choose camera #
#################
camera = ' '.join(sys.argv[1:])
try:
v = int(camera)
camera = v
except ValueError:
pass
if camera == '':
camera = 0
#####... |
# vim: expandtab:ts=4:sw=4
import numpy as np
import scipy.linalg
import pdb
"""
Table for the 0.95 quantile of the chi-square distribution with N degrees of
freedom (contains values for N=1, ..., 9). Taken from MATLAB/Octave's chi2inv
function and used as Mahalanobis gating threshold.
"""
chi2inv95 = {
1: 3.8415,... |
# Authors: <NAME> <<EMAIL>>
# + All contributors to <https://github.com/smarie/python-odsclient>
#
# License: 3-clause BSD, <https://github.com/smarie/python-odsclient/blob/master/LICENSE>
from subprocess import call
try:
import click
except ImportError as e:
raise Exception("`click` is required f... |
# Copyright (c) 2022 Serum
# 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, publish, distribute, su... |
"""Implementation of custom session system.
Credit for this can go to the warehouse project where I find how to implement
custom session system with redis.
Differences are noted:
- Warehouse use it's own implementation for the TimestampSigner and
BadSignature
- The factory session does not initialize Redis exac... |
#!/usr/bin/env python
"""Wrapper script with bjobs functionality."""
from __future__ import print_function
import sys
import re
import argparse
from utility import color
from useraliases import lookupalias
from shortcuts import ejobsshortcuts
from readjobs import readjobs
from printjobs import printjobs
from groupj... |
# Look for #IMPLEMENT tags in this file. These tags indicate what has
# to be implemented to complete the warehouse domain.
# You may add only standard python imports---i.e., ones that are automatically
# available on TEACH.CS
# You may not remove any imports.
# You may not import or otherwise source any o... |
"""Components for searching for taxa"""
from logging import getLogger
from typing import Optional
from pyinaturalist import RANKS, IconPhoto, Taxon
from PySide6.QtCore import QSize, Qt, Signal, Slot
from PySide6.QtGui import QIcon
from PySide6.QtWidgets import QApplication, QComboBox, QLabel, QPushButton, QWidget
fro... |
# -*-coding:utf-8 -*-
'''
@File : test_helper.py
@Author : <NAME>
@Date : 2020/8/2
@Desc :
'''
import tensorflow as tf
import numpy as np
from QuestionAnswerSummaryAndReasoning.seq2seq_tf2.batcher import output_to_words
from tqdm import tqdm
def greedy_decode(model, dataset, vocab, params):
... |
from typing import NamedTuple, Tuple, Dict, List, Any
from .quiche_tree import QuicheTree
from .rewrite import Rule
class EClassID:
def __init__(self, id, parent: "EClassID" = None):
self.id = id
self.parent = parent
# List of tuples of (ENode, EClassID) of enodes that use this EClassID
... |
# -*- coding: utf-8 -*-
from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTClient
from serial_data import SerialData
import logging
import pika
import argparse
import time
import json
LOG_FORMAT = ('%(levelname) -10s %(asctime)s %(name) -30s %(funcName) '
'-35s %(lineno) -5d: %(message)s')
LOGGER = logging.g... |
"""Bloch contiuous rotation experiment"""
import importlib as imp
import os,numpy as np
from subprocess import Popen
from typing import TYPE_CHECKING, Dict, Iterable, Optional, Sequence, Union
from utils import displayStandards as dsp #;imp.reload(dsp)
from EDutils import display as EDdisp #;imp.reload(EDdisp)
... |
# Author of Aqsa: <NAME>
from aqsa_apps.wallet_tag_etc import models as wte_m
from aqsa_apps import sql_custom as sql
from . import models as m
from django.contrib.auth.mixins import LoginRequiredMixin
from aqsa_apps import mixins as mix
from django.utils.translation import ugettext as _
from django.views.generic.edit ... |
import asyncio
import logging
import re
import socket
import warnings
from asyncio import AbstractEventLoop
from ipaddress import ip_address, IPv4Network
from abc import ABCMeta
from abc import abstractmethod
from typing import Callable
from typing import List
from typing import Optional
from typing import Tuple
M... |
#!/usr/bin/env python3
################################################################################
# parse arguments first
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--min_2d_power', type=int, default=3)
parser.add_argument('--max_2d_power', type=int, default=15)
parser.add_argument... |
"""Author: <NAME>
Email: <EMAIL>
network.py is a basic implementation of a one layer linear neural network, to
examine an implementation of backpropagation. It is based on the basic model
of the Perceptron. Information on that can be found at:
https://en.wikipedia.org/wiki/Perceptron
The intent of this specific ... |
# model class structure adapted from <NAME>
# https://danijar.com/structuring-your-tensorflow-models/
# https://gist.github.com/danijar/8663d3bbfd586bffecf6a0094cd116f2
from math import ceil
import functools
from collections import namedtuple
import tensorflow as tf
def doublewrap(function):
"""
A decorator ... |
#!/usr/bin/env python3
""" Cronjob to copy Novogene fastq data from GIS to NSCC
"""
# standard library imports
import logging
import sys
import os
import argparse
import subprocess
import glob
#--- third party imports
#
import pymongo
import yaml
import requests
# project specific imports
#
# add lib dir for this pip... |
from functools import reduce
import networkx as nx
def identity(*args):
if len(args) == 1:
return args[0]
return args
def er(e):
"""
This function returns the reverse of an edge represented as a tuple
"""
s, d = e
return (d, s)
def cer(e):
"""
Canonica... |
import os
import numpy as np
from sklearn.model_selection import train_test_split
from tensorflow.keras import backend as K # 这里目的是使用后端tensorflow
from tensorflow.keras.applications.vgg16 import VGG16
from tensorflow.keras.layers import Input, Dense, Lambda
from tensorflow.keras.models import Model, Sequential
from te... |
import torch
import torch.nn as nn
import numpy as np
import pytorch_lightning as pl
import sys
import os
from lifelines.utils import concordance_index
from sklearn.metrics import r2_score
from torch.utils.data import DataLoader, TensorDataset
from torchcontrib.optim import SWA
from pytorch_lightning import Trainer, s... |
# Copyright (c) 2018-2022, <NAME>
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * ... |
def calculate_line_diff():
# SAME LINE
line1_start = (41.88695, -87.63248)
line1_end = (41.88692, -87.63539)
line2_start = (41.88695, -87.62951)
line2_end = (41.88695, -87.63248)
# NOT THE SAME LINE
# line1_start = (41.87523, -87.64807)
# line1_end = (41.8777, -87.64545)
# line2_start = (41.87437, -87.642... |
import os
import time
import tensorflow as tf
from tensorflow.python.client import timeline
from tensorflow.python.framework import meta_graph
batch_size = 32
num_bathes = 100
def print_tensor_info(tensor):
print("tensor name:", tensor.op.name, "-tensor shape:", tensor.get_shape().as_list())
def inference(imag... |
"""
"""
__version__ = '0.1.0'
__author__ = 'Morteza'
import os
try:
import understand as und
except ModuleNotFoundError:
# Error handling
pass
from antlr4 import *
from antlr4.TokenStreamRewriter import TokenStreamRewriter
from gen.java.JavaParser import JavaParser
from gen.javaLabeled.JavaLexer import... |
"""
The following Python implementation of Shamir's Secret Sharing is
released into the Public Domain under the terms of CC0 and OWFa:
https://creativecommons.org/publicdomain/zero/1.0/
http://www.openwebfoundation.org/legal/the-owf-1-0-agreements/owfa-1-0
See the bottom few lines for usage. Tested on Python 2 and 3.
... |
#!/usr/bin/python
import os
import subprocess
import argparse
## no exception handling yet, to be added. Logging to be added too (in progress, needs to be detailed)
def find_filenames(dir_path):
file_name_list = []
file_path_list = []
files_dict = {}
for root, dirs, files in os.walk(dir_path):
... |
##########
# Determine the Lowest Common Ancestor (LCA) of a set of taxonomic IDs
##########
import pandas as pd
import numpy as np
from ete3 import NCBITaxa
import boto3
import tempfile
import subprocess
import os
import io
import re
import time
import json
import pdb, traceback, sys
# NCBI Entrez functions
from Bi... |
#!/opt/anaconda/envs/env_hazard_index/bin/python
import atexit
import cioppy
ciop = cioppy.Cioppy()
import xarray as xr
import numpy as np
import pandas as pd
import geopandas as gpd
import datetime
import sys
import gdal
from urllib.parse import urlparse
import os
SUCCESS = 0
ERR_RESOLUTION = 10
ERR_STAGEIN = 20
ERR... |
# SPDX-FileCopyrightText: : 2017-2020 The PyPSA-Eur Authors
#
# SPDX-License-Identifier: GPL-3.0-or-later
# coding: utf-8
"""
Adds extra extendable components to the clustered and simplified network.
Relevant Settings
-----------------
.. code:: yaml
costs:
year:
USD2013_to_EUR2013:
dico... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# ==============================================================================
#
# x11 - Module for Python X lib (X11) functions
#
# ==============================================================================
# noinspection SpellCheckingInspection
"""
To so... |
import yaml
import sys
import argparse
import copy
section_labels_list = [
'Get Data', 'Send Data', 'Collection Operations', 'Expression Tools',
'Text Manipulation', 'Filter and Sort', 'Join, Subtract and Group',
'Convert Formats', 'FASTA/FASTQ', 'FASTQ Quality Control', 'SAM/BAM', 'BED',
'VCF/BCF', 'Nanop... |
#!/usr/bin/env python
#
# Camlistore uploader client for Python.
#
# Copyright 2010 The Perkeep 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/... |
#!/usr/bin/env python
""" Handle and move files from the receiver(s) to Overwatch sites and EOS.
This simple module is responsible for moving data which is provided by the receiver to other
sites. It will retry a few times if sites are unavailable.
We take a simple approach of determine which files to transfer, and ... |
from datetime import datetime
import os
import math
import logging
import warnings
from visnav.algo.tools import PositioningException
warnings.filterwarnings("ignore", module='quaternion', lineno=21)
import numpy as np
import cv2
import sys
from visnav.render.render import RenderEngine
from visnav.al... |
"""Defines `TraderAccount` and supporting classes."""
__copyright__ = 'Copyright © 2019, <NAME>, <NAME>, and <NAME>'
__license__ = 'MIT'
import collections
import typing
import dispatch
# Local package imports duplicated at end of file to resolve circular dependencies
if typing.TYPE_CHECKING:
from model.stock... |
import operator, msgpack, nltk, math, sys, os
from nltk.corpus import stopwords
from datetime import datetime
from tqdm import tqdm
from argparse import ArgumentParser
import numpy as np
import dateutil.parser
from utils import settings, liwc_keys, lsm_keys, open_for_write, DEFAULT_TIMEZONE
from normalizer import e... |
import json
import logging
import os
import urllib
import requests
from lxml import etree
alma_api_base_url = 'https://api-eu.hosted.exlibrisgroup.com/almaws/v1/'
def get_item(mms_id, item_id, holding_id='ALL'):
api_key = os.environ['ALMA_SCRIPT_API_KEY']
url = '{}bibs/{}/holdings/{}/items/{}?apikey={}'.for... |
##########################################
# AI
# 2019-12-26 14:08:16
# class hl_dtoken_converter:
# Translate programmer friendly dtokens into hardware-level dtokens
# RF(WE) -> RF(LWE, HWE)
# IMMED(0xFF) -> JUMP(0xFF,0), BUS(IMMED)
#
# class *_translator:
# do translate work
# when hl_dtoken_co... |
from __future__ import print_function, unicode_literals, absolute_import, division
from six.moves import range, zip, map, reduce, filter
import numpy as np
import warnings
from zipfile import ZipFile, ZIP_DEFLATED
from scipy.ndimage.morphology import distance_transform_edt, binary_fill_holes
from scipy.ndimage.measure... |
"""
Created on Tue Jul 28 12:19:11 2020
@author: <NAME>
"""
import numpy as np
import matplotlib.pyplot as plt
import time
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import RMSprop
from tensorflow.keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPoo... |
#%% [markdown]
# # Contrastive Hebbian Learning
#
# Contrastive Hebbian Learning (CHL) is an algorithm that can be used to perform supervised learning in a neural network. It unites the power of backpropagation with the plausibility of Hebbian learning, and is thus a favorite of researchers in computational neuroscien... |
'''
XlPy/Link_Finder/search/single
______________________________
Checks if a sequenced peptide matches back to an unsequenced,
theoretical peptide massfingerprint.
:copyright: (c) 2015 The Regents of the University of California.
:license: GNU GPL, see licenses/GNU GPLv3.txt for more details.... |
from __future__ import print_function
import numpy
import collections
from typing import Mapping, Union, Sequence, MutableSequence, Tuple, Any
from typing import Optional, Callable, TypeVar, Iterable, List, cast
InitialState = Union[MutableSequence[complex], int, numpy.ndarray]
# This should be Anything subscriptable... |
from __future__ import print_function
import argparse
import os
# from torchvision.datasets import ImageFolder
import myDataset
import networks
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as transforms
from PIL imp... |
import json
#La clave es el lexema (lo que lee del programa) y el valor es el token
#ejemplo lexema: = ; toquen: operador asignacion
#aqui en el token en vez de que se repita lo mismo a parte podria ir una descripcion
#ejemplo 'ari': 'ari / condicional if'
#Faltan varias fijense en la tablita y agregenlas porfaa
rese... |
import numpy as np
from scipy.io import loadmat
from utils.dataset import load_label_files, load_labels, load_weights
from data_loader.util import load_challenge_data
import torch
import torch.nn.functional as F
class ChallengeMetric():
def __init__(self, input_directory, alphas):
# challengeMetric init... |
import numpy as np
import lsst.afw.table as afwTable
import lsst.pex.config as pexConfig
import lsst.pipe.base as pipeBase
import lsst.geom as geom
import lsst.sphgeom as sphgeom
from lsst.meas.base.forcedPhotCcd import ForcedPhotCcdTask, ForcedPhotCcdConfig
from .forcedPhotDia import DiaReferencesTask
__all__ = ("... |
"""
OpenSwap main public messaging
"""
import time
from html import escape
try:
# python 3.6 +
from secrets import token_bytes
except ImportError:
from os import urandom as token_bytes
from electroncash.i18n import _
from electroncash.address import Address
import electroncash.web as web
from PyQt5.QtCo... |
from server.models.postgis.mapping_issues import MappingIssueCategory
from server.models.postgis.task import TaskMappingIssue, TaskHistory, Task
from server.models.postgis.user import User
from server.models.postgis.project import Project
from server.models.postgis.statuses import TaskStatus
from server.models.dtos.map... |
#!/usr/bin/python3
import sys
import requests
import json
import subprocess
import csv
import os
import hashlib
from datetime import datetime
import configparser
from random import randint
import collections
import time
def getDigest(input):
print(input)
block_size = 65536
sha256 = hashlib.sha256()
sh... |
import json
import wml_utils as wmlu
import numpy as np
import os
import cv2 as cv
import sys
import random
from iotoolkit.labelme_toolkit import get_labels_and_bboxes
def get_files(dir_path, sub_dir_name):
img_dir = os.path.join(dir_path, sub_dir_name,'images')
label_dir = os.path.join(dir_path, sub_dir_name... |
import requests
import time
from requests.adapters import HTTPAdapter
from requests.exceptions import ConnectionError
import pandas as pd
import sqlite3
from pgs_harmonizer.harmonize import reversecomplement
class VariationResult:
"""Class to parse the 'mapping 'information from ENSEMBL Variation"""
def __ini... |
import os
import pandas as pd
import mygene
from util_path import get_path
from util_dei import filter_dei
res_dir = get_path("resource/Entrez")
gene_dir = get_path("vertex/gene")
mg = mygene.MyGeneInfo()
def read_gene2ensembl():
global res_dir
g2e_df = pd.read_csv(os.path.join(res_dir, "gene2ensembl_9606.t... |
# NOTE : The API / Client couple here is DUAL to rest (because most of it is callback, not callforward)
# => the API is what the user should use directly (and not the client like for REST)
import asyncio
import typing
from aiokraken.rest import AssetPairs
from aiokraken.websockets.channelstream import SubStream
f... |
#! /usr/bin/env python
import rospy
import sys
# Brings in the SimpleActionClient
import actionlib
import math
import tf2_ros
from geometry_msgs.msg import *
from std_srvs.srv import *
import time
"""Reference Path"""
#x = [1.5, 3.5, 5.5, 7, 5.5, 3.5, 1.5, 0, 1.5]
#y = [0.5, 0.5, 0.5, 2, 3.5, 3.5, 3.5, 2, 0.5]
#theta ... |
import re
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
# this list of stopwords is a merge of multiple lists found in the web
stops = set(['[closed]', '[duplicate]', 'i', 'me', 'sometime', 'been',
'mostly', 'don\'t', 'don', 'hasnt', 'couldn\'t', 'couldn', '\'t',
't', 'don', 'your'... |
#3_Laes_InsertDB_2019M.py
from app.models import Klub, Konkurrence, Medlemmer, Deltager, Grunddata, Baner, PostBaner, deltager_strak
from app import db
import json
from operator import itemgetter
def find_medlemID(medlem):
''' Finder medlems ID '''
temp1 = db.session.query(Medlemmer).filter(Medlemmer.navn == ... |
# coding=utf-8
# Copyright 2022 The Google Research 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 applicab... |
import logging
import re
class Grade:
def __init__(self, grade):
self.grade = grade
def to_dict(self):
return { "grade": self.grade, "sort_index": self.index() }
def index(self):
pass
class YDS(Grade):
static_indexes = ["3rd", "4th", "Easy 5th"]
single_digit_mplier = 3
... |
# -*- coding: utf-8 -*-
#
# Copyright (C) 2019 <NAME>, CESNET.
#
# oarepo-references is free software; you can redistribute it and/or modify
# it under the terms of the MIT License; see LICENSE file for more details.
"""OArepo module for tracking and updating references in Invenio records."""
import abc
import typing
... |
import tensorflow_probability as tfp
import tensorflow as tf
from .settings import float_type
class ConstrainedBijector(tfp.bijectors.Chain):
def __init__(self,a,b,validate_args=False):
"""
Create a bijector that constrains the value to (a,b)
:param a: float scalar
... |
"""
Demo code
To run our method, you need a bounding box around the person. The person needs to be centered inside the bounding box and the bounding box should be relatively tight. You can either supply the bounding box directly or provide an [OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) detecti... |
#!/usr/bin/env python
from direct.showbase.ShowBase import ShowBase
from panda3d.core import CollisionTraverser, CollisionNode
from panda3d.core import CollisionHandlerQueue, CollisionRay
from panda3d.core import Filename, AmbientLight, DirectionalLight
from panda3d.core import PandaNode, NodePath, Camera, TextNode
fr... |
#
#
# Copyright 2019 Asylo 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 or agreed to in wri... |
#!/usr/bin/env python
"""
The Monty Hall problem simulator parameterizable with soops.
https://en.wikipedia.org/wiki/Monty_Hall_problem
Examples
--------
- Direct runs::
python examples/monty_hall.py -h
python examples/monty_hall.py output
python examples/monty_hall.py --switch output
python examples/monty_... |
from django.db import models
from .base_workflow import Ticket, TicketHistory
class ServiceRequest(Ticket):
AC_STATUS = (
('aog', 'AOG'),
('mtx', 'Scheduled Maintenance'),
('other', 'Other (Provide in Description)')
)
CERTS = (
('far91', 'FAR 91'),
('far121', 'F... |
"""Sets a consistent plotting settings across the project.
Example:
Usage with simple plots::
from src.plot_settings import (
ps_defaults,
label_subplots,
get_dim,
set_dim,
PALETTE,
STD_CLR_LIST,
CAM_BLUE,
BRIC... |
from __future__ import print_function
import json
import random as rd
def read_dict(filename):
f = open(filename, "r")
rs = f.read()
if rs.find("\n") >= 0:
rules = rs.split("\n")
else:
rules = rs.split("\r")
out_rule = []
for rule in rules:
if len(rule) < 1:
continue
details = rule.split("|")
flat_... |
import json
import random
from argparse import ArgumentParser
from collections import Counter, defaultdict
import itertools
import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from datasets import utils
from datasets.wsd_dataset import SemCorWSDDataset
def shuffle_list... |
version = '5.0'
import math
import pygame
import random
import time
from pygame.locals import Rect
from math import pi
import vectores
from vectores import Vector2
SIZE = WIDTH, HEIGHT = 800, 600 # Tamaño de pantalla
CENTER = (WIDTH//2, HEIGHT//2)
BLACK = (0, 0, 0) # Colores
WHITE = (255, 255, 255)
... |
### Code Adapted From <NAME> Kaggle Submission: https://www.kaggle.com/shayantaherian/nfl-training-fasterrcnn
# Import Packages
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import patches
import imageio
from tqdm import tqdm_notebook as tqdm
from tqdm import tqdm
from ... |
import simplematch as sm
def test_readme_example_opener():
assert sm.match("He* {planet}!", "Hello World!") == {"planet": "World"}
assert sm.match("It* {temp:float}°C *", "It's -10.2°C outside!") == {"temp": -10.2}
def test_readme_example_basic_usage():
result = sm.match(
pattern="Invoice*_{year... |
import numpy as np
import torch as torch
import numpy as np
import torch as torch
from scipy.interpolate import griddata
import torch.nn.functional as F
import torch.nn as nn
# import audtorch
import piq
def calculate_CC_metrics(pred, gt):
"""
Calculate CC Metrics
:param pred:
:param gt:
:return:
... |
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