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import logging
import sys
import time
import sklearn.cluster
import cv2
import numpy as np
import itertools
import random
from threading import Thread
from config.config import *
from sensors.pipeline import Pipeline
from utils.functions import overrides, get_class_name, current_time_millis, deprecated
from scipy.int... |
#!/usr/bin/env python
"""
Purpose:
Handling intersectbed (-wo) report of two bed12
first bed12 is PacBio Iso-seq bed (converted from bam)
second bed12 is Gtf bed (converted from gtf or v3.gtf)
gtf versionA is FlyBase gtf
gtf versionB is updated v3 gtf
potential interesting region
dmel... |
import tensorflow as tf
from .homographies import warp_points
from .backbones.vgg import vgg_block
def detector_head(inputs, **config):
params_conv = {'padding': 'SAME', 'data_format': config['data_format'],
'batch_normalization': True,
'training': config['training'],
... |
from __future__ import unicode_literals
import frappe
from frappe import scrub
from textwrap import wrap
from frappe.utils import add_to_date, nowdate, nowtime
from datetime import timedelta
from frappe.model.mapper import get_mapped_doc
from frappe.utils import flt
from frappe import _
# from erpnext.accounts.utils ... |
class MainData:
class Block:
def __init__(self, size):
self.size = size
self.tuples = [None] * size
self.numtuples = 0
def __getitem__(self, idx):
return self.tuples[idx]
def __setitem__(self, idx, t):
self.tuples[idx] = t
... |
"""
Do a likelihood fit. The class NestedSamplerStatModel is used for fitting
applying the bayesian algorithm nestle/multinest
"""
from __future__ import absolute_import, unicode_literals
import datetime
import json
import os
import shutil
import tempfile
from warnings import warn
import corner
import matplotlib.pyplo... |
import torch
from torch.utils.data import Dataset
from .collaters import *
import json
import pickle
import os
import glob
import sys
from musa.ops import *
from .utils import *
import timeit
import struct
import numpy as np
import multiprocessing as mp
from sklearn.cluster import KMeans
import copy
def read_aco_file... |
# Copyright (c) 2019 Platform9 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-2.0
#
# Unless required by applicable law or agreed ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Script for conversion of Stardict tabfile (<header>\t<definition>
# per line) into the OPF file for MobiPocket Dictionary
#
# For usage of dictionary convert it by:
# (wine) mobigen.exe DICTIONARY.opf
# or now...
# kindlegen DICTIONARY.opf
#
# MobiPocket Reader at: www... |
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 2 17:02:36 2019
@author: Chandar_S
"""
#%%
from sklearn import model_selection, preprocessing, linear_model, naive_bayes, metrics, svm
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn import decomposition, ensemble
import pandas,... |
import os
import subprocess
import time
from datetime import datetime
import math
import getpass
username = getpass.getuser()
file_names = []
file_content_locator = []
file_sizes = []
file_system_name = 'FIUNAMFS'
file_system_version = '0.7'
volume_tag = 'FIUNAMFS.img'
cluster_length = '512'
num_of_clusters_dir = '4'... |
import pickle
import numpy as np
import os
import scipy.sparse as sp
import torch
from scipy.sparse import linalg
from prettytable import PrettyTable
class DataLoader(object):
def __init__(self, xs, ys, batch_size, pad_with_last_sample=True):
"""
:param xs:
:param ys:
:param batch_... |
from enum import Enum
from collections import namedtuple
import tvm
import tvm.te as te
import tvm.tg as tg
import tvm.tir as tir
import numpy as np
def pprint_dict(d):
import json
print(json.dumps(d, indent=2, sort_keys=False))
def get_vector_add(n):
"""TVM expression for vector add"""
A = te.placeholder... |
import dataclasses
import functools
import itertools
import logging
import os
from kubernetes.dynamic.exceptions import ResourceNotFoundError, ConflictError
from kluctl.deployment.apply_util import ApplyUtil
from kluctl.deployment.images import SeenImages
from kluctl.deployment.kustomize_deployment import KustomizeDe... |
import sys
import requests
from requests.exceptions import HTTPError
import os
import multiprocessing
import time
import queue
from ddsc.core.localstore import HashUtil
from ddsc.core.ddsapi import DDS_TOTAL_HEADER
from ddsc.core.util import humanize_bytes, transfer_speed_str
SWIFT_EXPIRED_STATUS_CODE = 401
S3_EXPIRED... |
# coding: utf-8
import operator
import enum
import threading
import wx
import wx.lib.sized_controls as sc
import more_itertools
from collections import namedtuple
from itertools import chain
from bookworm import config
from bookworm.reader import EBookReader
from bookworm.document.operations import SearchRequest
from ... |
# vim: sw=4:ts=4:et:cc=120
#
# various utility functions
#
import collections
import datetime
import functools
import json
import logging
import os, os.path
import re
import signal
import tempfile
import urllib
import saq
from saq.constants import *
import psutil
import pytz
import requests
CIDR_REGEX = re.compile(... |
import numpy as np
import tensorflow as tf
from tensorflow.python.util import nest
import tensorflow.contrib.layers as layers
import tensorflow.contrib.rnn as rnn
import tensorflow.contrib.cudnn_rnn as cudnn_rnn
RNN = cudnn_rnn.CudnnGRU
GRAD_CLIP_THRESHOLD = 10
# input pipe utils
def cut(
ts_value_train_slice,
... |
import os
import sys
import random
import warnings
import math
import numpy as np
import pylab
import scipy.ndimage as ndi
from concurrent.futures import ThreadPoolExecutor
import PIL
from PIL import Image, ImageDraw
from tqdm import tqdm
def autoinvert(image):
assert np.amin(image) >= 0
assert np.amax(imag... |
from scrapper import *
from scrapper import Scrapper
import selenium
## Para el page down en el infinite scroller
from selenium.webdriver.common.keys import Keys
import datetime
## Las siguientes librerías son para el leído del archivo de Excel en donde estarán las páginas a Scrappear
## No hagan lo que estas personas... |
#<NAME> & <NAME> - QuizTime ©
import tkinter as tk
root = tk.Tk()
root.title("Python Quiz By <NAME>")
root.geometry("1000x500")
root.configure(background='gray', borderwidth=2, relief="solid")
score = 0
photoplay = tk.PhotoImage(file = r"C:\QuizTime\Play.png")
photoimage1 = photoplay.subsample(5, 5)
photocredits = tk... |
#!/usr/bin/python -S
"""Utils for hostapd and wpa_supplicant configuration."""
import ctypes
import subprocess
# pylint: disable=g-bad-import-order
import autochannel
import experiment
import utils
crypto = ctypes.CDLL('libcrypto.so')
EXPERIMENTS = [
'NoSwapWifiPrimaryChannel', # checked by hostapd itself
... |
## Copyright (c) 2017 <NAME> GmbH
## All rights reserved.
##
## This source code is licensed under the MIT license found in the
## LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import optim
import numpy as np
from torch.nn.utils im... |
from player import Player
from card import Card
from util import Util
util = Util()
class JamesBond(Player):
def __init__(self):
# Constants
self.c = {}
self._generate_constants()
# Game data
self.name = '<NAME>'
self.opponents = {}
self.pot_evs = {}
... |
import base64
import datetime
import errno
import os
import shutil
import pdb
import uuid
import logging
import re
import requests
import json
from django.contrib import auth, messages
from django.contrib.sites.shortcuts import get_current_site
from django.conf import settings
from django.core.exceptions import (Permi... |
#!/usr/bin/env python3
import os, logging
import pandas as pd
from pathlib import Path
import numpy as np
from scipy.interpolate import interp1d
from bins_and_cuts import obs_cent_list, obs_range_list
# fully specify numeric data types, including endianness and size, to
# ensure consistency across all machines
float_... |
import random
import pyglet
import logging
import os
import glob
import math
from functions import *
from actor import Actor, Hand
from stats import StatSystem
from animations import HandAnimAttack, HeadBobbing, Pulse
from load_config import ConfigSectionMap as load_cfg
import abilities
ROOT = os.path.dirname(__file__)... |
import math
import srwlib
import numpy as np
from srwlib import *
def createGsnSrcSRW(sigrW,propLen,pulseE,poltype,phE=10e3,sampFact=15,mx=0,my=0):
"""
#sigrW: beam size at waist [m]
#propLen: propagation length [m] required by SRW to create numerical Gaussian
#pulseE: energy per pulse [J]
#poltyp... |
""" unified file system api """
# py.path.common
class NeverRaised(Exception):
pass
class PathBase(object):
""" shared implementation for filesystem path objects."""
def basename(self):
""" basename part of path. """
def dirname(self):
""" dirname part of path. """
def purebase... |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Modifications copyright (C) 2019 <NAME>
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complia... |
import logging
import re
from dataclasses import replace
from typing import Any, List, Mapping, MutableMapping, Optional, Sequence, Tuple
from snuba import environment
from snuba.clickhouse.escaping import NEGATE_RE
from snuba.datasets.dataset import Dataset
from snuba.datasets.entities.factory import get_entity
from ... |
from django.contrib.auth import get_user_model
from django.conf import settings
from django.core.urlresolvers import reverse
from django.http import HttpRequest, HttpResponse
from django.test import TestCase
from swingers.sauth.decorators import crossdomain
from swingers.sauth.models import ApplicationLink
from swinge... |
#!/usr/bin/python
# hmmmSimulator.py
#
# $Id: hmmmSimulator.py,v 1.4 2007/10/08 08:10:12 geoff Exp $
#
# <NAME>, 2006
# modified by <NAME>, June 2006
# extensively modified by <NAME>, October 2007
import sys, string, re
from binary import *
from functools import reduce
memory = [0]*256 # 256 words of memory. ... |
# Copyright 2015 Google Inc. 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 applicable law or ag... |
"""Download Adwords reports based on a JSON input and upload directly to either FTP or Titan's blob storage.
Request a report per client customer ID via the Adwords API and directly upload to a single file.
For more detail, execute the following at the command prompt:
adwordsreportdownloader --help
"""
import date... |
import logging
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
from typing import Dict, List, Optional, Tuple, Union
from detectron2.config import configurable
from detectron2.layers import Linear, ShapeSpec, batched_nms_rotated, cat, nonzero_tuple
from detectron2.structures i... |
#!/usr/bin/env python
# coding: utf-8
# # CODI Prevelance Query (PQ) Results Visualization
#
#
# ## Background - PQ algorithm
#
# [CODI-PQ](https://github.com/NORC-UChicago/CODI-PQ) is a program for weight-status-category prevalence based on BMI, and results can be stratified by age, sex, race and geography. PQViz ... |
#!/usr/bin/env python
# coding: utf-8
from WeightedBCEDICELoss import WeightedBCEDICE
from SegmentationMetric import SegmentationMetric
from FocalLoss import FocalLoss
import argparse
import os
from mxnet.gluon import loss as gloss, data as gdata, utils as gutils
import sys
import time
import multiprocessing
from mx... |
#DCGAN train and generate
# 1. train
# 2. generate
import tifffile
import h5py
import torch.utils.data
from torch import Tensor
from os import listdir
from os.path import join
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import os
import random
import torch.backends.cudnn as cudnn
impo... |
from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from .utils import GTextToolbar
from PyQt5.QtWidgets import QWidget, QHBoxLayout, QVBoxLayout, QFrame, QComboBox, \
QCheckBox, QLineEdit, QPushButton, QLabel, QGridLayout, \
... |
import torch
import torch.nn as nn
from diff_aug import DiffAugment
class MLP(nn.Module):
def __init__(self, in_feat, hid_feat=None, out_feat=None,
dropout=0.):
super().__init__()
if not hid_feat:
hid_feat = in_feat
if not out_feat:
out_feat = in_fe... |
import os
from os import path
import sys
from sys import stderr, exit
import argparse
from re import match
from weakref import WeakKeyDictionary
from hashlib import sha224
from re import sub
import importlib
import string
import pandas
import pydot
import pypandoc
# Descriptors
# The base for this (descriptors instea... |
"""
FRODO: a FRamework for Open/Distributed Optimization
Copyright (C) 2008-2013 <NAME>, <NAME> & <NAME>
FRODO is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your ... |
'''
Author: <NAME>
Project: deeppop
Purpose: Model Builder - should have this component that stores all kinds of candidate models.
Improvements needed:
(/) - For VAE, try to bring custom loss with KL divergence in
'''
from keras import objectives
from keras.models import Model, Sequential
from keras.layers i... |
#!/usr/bin/env python3
# vim: fileencoding=utf-8 expandtab ts=4 nospell
# SPDX-FileCopyrightText: 2020-2021 <NAME> <<EMAIL>>
#
# SPDX-License-Identifier: BSD-2-Clause
"""
Abstract class and Model implementation for basic Tables in the ORM system.
Tables store an array of fields.
"""
from __future__ import annotatio... |
# === Start Python 2/3 compatibility
from __future__ import absolute_import, division, print_function, unicode_literals
from future.builtins import * # noqa pylint: disable=W0401, W0614
from future.builtins.disabled import * # noqa pylint: disable=W0401, W0614
# === End Python 2/3 compatibility
import pytest
impo... |
from stenway.reliabletxt import *
class WsvChar:
def isWhitespace(c):
return (c == 0x09 or
(c >= 0x0B and c <= 0x0D) or
c == 0x0020 or
c == 0x0085 or
c == 0x00A0 or
c == 0x1680 or
(c >= 0x2000 and c <= 0x200A) or
c == 0x2028 or
c == 0x2029 or
c == 0x202F or
c == 0x205F or
... |
# Copyright (c) 2013, Analytics Pros
# All rights reserved.
# 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 ... |
# Copyright 2014: Mirantis Inc.
# 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 b... |
import time
everything_start_time = time.time()
import os
import subprocess
import json
import argparse
import cv2
import numpy
import SRers
parser = argparse.ArgumentParser()
# Input/output file
parser.add_argument('-i', '--input', # Input file
type=str,
help='path of vid... |
import math
import numpy as np
import pandas as pd
import tqdm
from scipy.sparse import coo_matrix
from typing import List, Optional
import matplotlib
from matplotlib import pyplot as plt
import matplotlib.patches as patches
from matplotlib.path import Path
from matplotlib.collections import PathCollection
import matp... |
"""
Validators library
"""
import re
from typing import Any
from .ctx import Context
class ValidatorMetaclass(type):
def __new__(cls, name, bases, classdict):
error_code_map = {}
error_messages = {}
message_values = {}
for base in reversed(bases):
try:
... |
#!/usr/bin/python
# Copyright: (c) 2018, <NAME> <<EMAIL>>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = r'''
---
module: mongodb_replicaset
short_description: Initiali... |
# stream latches out to the console through TASHA.
# Latch format is an (n, C) uint16 numpy ndarray, where n is the number of
# latches in the array and C is the number of controllers. The controller order
# is set by the controllers list passed to the LatchStreamer constructor. The
# list is a list of strings (descri... |
#! /usr/bin/env python
"""
Reads Darknet config and weights and creates Keras model with TF backend.
"""
import argparse
import configparser
import io
import os
from collections import defaultdict
import math
import numpy as np
from keras import backend as K
from keras.layers import (Conv2D, Input, ZeroPadding2D, Add... |
from __future__ import annotations
import argparse
import json
import typing
import attr
import requests
import tabulate
from bs4 import BeautifulSoup
from pathlib import Path
import tqdm
from imdb import ImdbMovieSet, ImdbMovieInfo, normalize_movie_name
FIREFOX_USER_AGENT = \
'Mozilla/5.0 (Macintosh; Intel Mac... |
import argparse
import multiprocessing
from queue import Empty
import random
import time
import os
import re
import glob
import pickle
import numpy as np
import time
import pommerman
from pommerman.agents import BaseAgent, SimpleAgent
from pommerman import constants
from keras.models import Model, load_model, model_f... |
from logutils import *
import re
from subprocess import getstatusoutput
import os
__author__ = 'jinzhao'
def version():
return '1.0.0'
def symbolicate_crash(crash_log, finder_func, output_path=None, verbose_mode=False):
"""
符号化crash日志
:param crash_log:crash日志文件路径
:param finder_func:查询app符号文件的处理函数... |
"""
Handlers for video module.
StudentViewHandlers are handlers for video module instance.
StudioViewHandlers are handlers for video descriptor instance.
"""
import json
import logging
import math
from django.core.files.base import ContentFile
from django.utils.timezone import now
from edxval.api import create_exte... |
# author: <NAME>
from p5 import *
import sympy as sym
import mpmath as mp
import numpy as np
from tkinter import Tk
from scipy.spatial import distance
import PIL
from PIL import Image
import argparse
import os
import csv
import mimetypes
DEBUG = False
parser = argparse.ArgumentParser(
description='Custom frame an... |
#================================================================
#
# File name : BipedalWalker-v3_PPO
# Author : PyLessons
# Created date: 2020-10-18
# Website : https://pylessons.com/
# GitHub : https://github.com/pythonlessons/Reinforcement_Learning
# Description : BipedalWalker-v3 PPO co... |
import numpy as np
import mpmath
DECIMALS = 60
mpmath.mp.dps = DECIMALS
def jacobi_alpha(n):
if n < 0:
return 0
half = mpmath.mpf('.5')
return (2*n*(n+half)-mpmath.mpf('.25')) / ((2*n+mpmath.mpf('1.5'))*(2*n-half))
def jacobi_beta(n):
if n <= 0:
return 0
half = mpmath.mpf('.5')
... |
import json
import os.path
import struct
from os import path
from os.path import join
import pathlib
import re
import numpy
parent_dir = pathlib.Path(__file__).parent.resolve()
code_dir = parent_dir.parent
data_dir = code_dir.parent
# collect ecat header maps, this program will not work without these as ECAT data var... |
# Copyright 2018 Capital One Services, 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 to in... |
import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
class BiLSTM(nn.Module):
def __init__(self, hidden_size, vocab_size, class_num=1, layer_num=3):
super(BiLSTM, self).__init__()
self.H = hidden_size
self... |
from .header import *
from .base import RetrievalBaseAgent
from .dual_bert import BertEmbedding
'''Deep Hashing for high-efficient ANN search'''
class DualBert(nn.Module):
'''dual bert only for inference'''
def __init__(self):
super(DualBert, self).__init__()
self.ctx_encoder = BertE... |
# Version: 2020.02.21
#
# MIT License
#
# Copyright (c) 2018 <NAME> and <NAME>
#
# 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 ri... |
"""
I/O for FLAC3D format.
"""
import logging
import struct
import time
import numpy
from ..__about__ import __version__ as version
from .._common import _pick_first_int_data
from .._exceptions import ReadError, WriteError
from .._files import open_file
from .._helpers import register
from .._mesh import Mesh
meshio... |
r""" Functional interface (quantized)."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import torch
from torch._jit_internal import List as _List
from torch.nn.modules.utils import _pair, _triple
# Although some of... |
"""
Platformer Game
python -m arcade.examples.platform_tutorial.11_animate_character
"""
import math
import os
import arcade
# Constants
SCREEN_WIDTH = 1000
SCREEN_HEIGHT = 650
SCREEN_TITLE = "Platformer"
# Constants used to scale our sprites from their original size
TILE_SCALING = 0.5
CHARACTER_SCALING = TILE_SCAL... |
# -*- coding: utf-8 -*-
from __future__ import print_function, absolute_import
from math import floor
from time import time
from zlib import crc32
import codecs
import logging
import random
import six
import six.moves.urllib.robotparser as robotparser
from frontera.core.components import States, DomainMetadata
from f... |
# Natural Language Toolkit: Collocations and Association Measures
#
# Copyright (C) 2001-2015 NLTK Project
# Author: <NAME> <<EMAIL>>
# URL: <http://nltk.org>
# For license information, see LICENSE.TXT
#
"""
Tools to identify collocations --- words that often appear consecutively
--- within corpora. They may a... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.model_zoo as model_zoo
class Inception3(nn.Module):
def __init__(self, num_classes=512, aux_logits=True, transform_input=False):
super(Inception3, self).__init__()
self.aux_logits = aux_logits
self.trans... |
# Copyright 2018 The TensorFlow Probability 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 o... |
# -*- coding: utf-8 -*-
#
# LibIndex handling
#
# Copyright (c) Honda Research Institute Europe GmbH
#
# 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 co... |
import random
import time
from copy import deepcopy
from functools import total_ordering
from multiprocessing.queues import Queue
from queue import PriorityQueue
import numpy as np
import math
from scipy.linalg import cholesky, cho_solve, solve_triangular, LinAlgError
from scipy.optimize import linear_sum_assignment
f... |
import unittest
import tempfile
import textwrap
import six
import conan.tools.qbs.qbstoolchain as qbs
from conans import tools
from conans.errors import ConanException
from conans.test.utils.mocks import MockConanfile, MockSettings, MockOptions
class RunnerMock(object):
class Expectation(object):
def _... |
# Copyright 2012 OpenStack Foundation
# Copyright 2013 IBM Corp.
# 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/LIC... |
# -*- coding: utf-8 -*-
from optparse import OptionParser
from xml.parsers import expat
import struct
_NodeCounter = 0
_NodeRemoveCounter = 0
_NodeVisitCounter = 0
_EmitCounter = 0
_EndOfWord = '$'
_DiacriticIndex = {
'a': 'ÁáĂăǍǎÂâÄäȦȧẠạȀȁÀàẢảȂȃĀāĄąÅåḀḁȺⱥÃãǼǽǢǣÆæ',
'b': 'ḂḃḄḅƁɓḆḇɃƀƂƃ',
'c': 'ĆćČčÇçĈĉĊ... |
"""
Copyright (c) 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-2.0
Unless required by applicable law or agreed to in writin... |
### Import required python modules
import logging
from gevent import monkey; monkey.patch_all()
import platform
import os
from os import listdir, stat, makedirs, mkdir, walk, remove, pardir
from os.path import isdir, isfile, join, splitext, getmtime, basename, normpath, exists, expanduser, split, dirname, getsize, abs... |
"""This script implements the main application logic for Doctrine."""
##==============================================================#
## DEVELOPED 2015, REVISED 2015, <NAME>. #
##==============================================================#
##====================================================... |
"""
.. module:: mflike
:Synopsis: Definition of simplistic likelihood for Simons Observatory
:Authors: <NAME>, <NAME>, <NAME>,
<NAME>, <NAME>, <NAME>.
"""
import os
from typing import Optional
import numpy as np
# from cobaya.conventions import _packages_path
_packages_path = 'packages_path'
from cobaya.l... |
# Authors: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
#
# License: Simplified BSD
import copy
import os.path as op
import numpy as np
from numpy.testing import (assert_array_almost_equal, assert_array_equal,
assert_allclose, assert_e... |
#!/usr/bin/env python
"""Code from the paper "A signature-based machine
learning model for bipolar disorder and borderline
personality disorder".
Given a participant of the study, trains the model
using all other participants from the cohort
in order to test the model with this participant
then. This provides ... |
#!/usr/bin/env python
"""
createSubStatsPlot.py
migrated from cactusAssemblathonSubErrorPlotter.py
16 March 2011
( 10 March 2011 )
dent earl, dearl(a) soe ucsc edu
"""
##############################
# Copyright (C) 2009-2011 by
# <NAME> (<EMAIL>, <EMAIL>)
# <NAME> (<EMAIL>, <EMAIL>)
# <NAME> (<EMAIL>)
# ... and other... |
import GridCal.Engine as gc
from ortools.linear_solver import pywraplp
import numpy as np
import pandas as pd
from scipy.sparse.csc import csc_matrix
def lpDot(mat, arr):
"""
CSC matrix-vector or CSC matrix-matrix dot product (A x b)
:param mat: CSC sparse matrix (A)
:param arr: dense vector or matrix... |
import contextlib
import json
import os
from collections import OrderedDict
from sys import float_info
from typing import Any, Dict, List, Optional, Set, Union, cast
import bpy
from bpy.app.translations import pgettext
from mathutils import Vector
from ..common import deep, vrm_types
from ..common.preferences import ... |
"""Module to expose resources through HTTP."""
# TODO: In docstring, add description of routing through resource(s) to an operation.
import asyncio
import base64
import fondat.error
import fondat.resource
import fondat.types
import functools
import http
import http.cookies
import inspect
import logging
import multid... |
#!/usr/bin/env -S python3 -u
"""
Usage: wayland_proxy.py <executable> [arg1] [arg2]..
wayland_proxy.py creates a new unix socket and points WAYLAND_DISPLAY to it
before executing <executable> as subprocess. The subprocess will then connect to
this socket instead of the original wayland socket. Once a client conne... |
# -*- coding: utf-8 -*-
"""This module defines a player class exposing the Open AI Gym API.
"""
import asyncio
import numpy as np # pyre-ignore
import time
from abc import ABC, abstractmethod, abstractproperty
from queue import Queue
from threading import Thread
from typing import Any, Callable, List, O... |
#!/usr/bin/env python2
"""
builtin_process.py - Builtins that deal with processes or modify process state.
This is sort of the opposite of builtin_pure.py.
"""
from __future__ import print_function
import signal # for calculating numbers
from _devbuild.gen import arg_types
from _devbuild.gen.runtime_asdl import (
... |
#!/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.
import os
import time
import joblib
import tqdm
import glob
import imageio
import copy
import numpy as np
from typing im... |
import calendar
import math
import pandas as pd
import time
import twstock
import requests
from datetime import datetime, timedelta
from dateutil import relativedelta
from db.Connection import session
from enum import Enum
from model.StockHistory import StockHistory
from sys import float_info
from talib import abstract... |
"""remote ctypes, a try to a ctypes wrapper that accept a target object for every ready operation
Some code is copy-paste, might be userful to rewrite some part later"""
import _ctypes
import ctypes
import ctypes.wintypes
import itertools
from _ctypes import _SimpleCData
# ## Utils ### #
def is_pointer(x):
retur... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
import sys
import string
import tensorflow as tf
from tensorflow.python.ops import control_flow_ops
from aster.core import standard_fields as fields
from aster.c_ops import ops
def _apply_with_random_selector(x, func, num_cases):
"""Computes func(x, sel), with sel sampled from [0...num_cases-1].
Args:
x: i... |
import probability as prb
import pprint
import random
import itertools as it
#todo: opening fire, expected value of strategic bombing raid against risk, sub withdrawal,
#sub/plane individuation:
# sub not hit planes,
# chance of taking territory (planes can't take territory)
# planes potential targets... |
from collections import namedtuple
from operator import add, setitem
import pickle
from random import random
import types
from toolz import identity, partial, merge
import pytest
import dask
from dask import compute
from dask.compatibility import PY2, PY3
from dask.delayed import delayed, to_task_dask, Delayed
from d... |
#!/usr/bin/env python
import rospy
import numpy as np
import math
from geometry_msgs.msg import PoseStamped, TwistStamped
from styx_msgs.msg import Lane, Waypoint
from std_msgs.msg import Int32
'''
This node will publish waypoints from the car's current position to some `x` distance ahead.
As mentioned in the doc, y... |
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