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# Copyright 2021 Google 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
import pytest
import numpy as np
from numpy import testing as npt
import pandas.util.testing as pdt
import ixmp
from ixmp.testing import make_dantzig, models, TS_DF, HIST_DF
TS_DF_CLEARED = TS_DF.copy()
TS_DF_CLEARED.loc[0, 2005] = np.nan
def test_run_clone(tmpdir, test_data_path):
# this test is designed to co... |
#!/usr/bin/env python3
from snipsLeds import LedControl
#Initialize this first in order to have the loading animation
ledControl = LedControl('localhost', 1883)
import time
import configparser
import io
import queue
from foodinference import FoodInference
from hermes_python.hermes import Hermes
import message
import... |
#
# ~~ <NAME> ~~
# Or, Circular Interpolation of the StyleGAN Synthesis Network's Constant Layer
# ~~~ aydao ~~~~ 2020 ~~~
#
# Based on halcy's circular interpolation script https://pastebin.com/RTtV2UY7
#
import warnings
warnings.filterwarnings('ignore', category=FutureWarning)
warnings.filterwarnings('i... |
# -*- coding: utf-8 -*-
import os
import sys
from ghostscript import Ghostscript
import argparse
from glob import glob
from PIL import Image, ImageDraw
import colorsys
import numpy as np
sys.path.insert(1, os.path.realpath(os.path.join(sys.path[0], os.pardir)))
from image_graph_parser import ImageGraphParser
from freq... |
# Copyright 2015 OpenStack Foundation.
# 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
#
# Unle... |
# Copyright 2020, The TensorFlow 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 t... |
#!/usr/bin/env python
# encoding: utf-8
"""
File: mpi_sate.py
Author: <NAME>
Created by <NAME> on 04 May 2012 15:05 PDT (-0700)
Copyright (c) 2012 <NAME>. All rights reserved.
Description:
"""
import os
import sys
import copy
import glob
import shutil
import argparse
import tempfile
import subprocess
from col... |
from learn.models import Technology, Domain, Resources
from collections import Counter
def get_all_domains():
"""
returns all the domain names
"""
domain_names = Domain.objects.filter(active=1).values_list('name', flat=True)
return domain_names
def get_all_technologies():
"""
returns all t... |
"""The lookin integration light platform."""
from __future__ import annotations
from collections.abc import Callable, Coroutine
from datetime import timedelta
import logging
from typing import Any, cast
from aiolookin import Remote
from aiolookin.models import UDPCommandType, UDPEvent
from homeassistant.components.m... |
from __future__ import print_function
from collections import namedtuple
from itertools import chain
from json import loads
from operator import itemgetter
from os import environ
from sys import version
from offutils.util import iteritems, itervalues
if version[0] == "2":
from itertools import ifilter as filter
... |
"""Representations of arXiv document metadata."""
import collections
from typing import List, Optional, Iterator, Set
from datetime import datetime
from dataclasses import dataclass, field
from arxiv import taxonomy
from arxiv.base.urls import canonical_url
from browse.domain.identifier import Identifier
from browse.d... |
from logzero import logger
from BITS.seq.align import EdlibRunner
from .dovetail_overlap import dovetail_alignment
from ..types import Overlap
er_glocal = EdlibRunner("glocal", revcomp=False, cyclic=False)
def _svs_overlap_forward(boundary_read, whole_read, boundary_start, boundary_end,
k_fo... |
"""This module contains the general information for ConfigStorageBladeFilter ManagedObject."""
from ...ucscmo import ManagedObject
from ...ucsccoremeta import UcscVersion, MoPropertyMeta, MoMeta
from ...ucscmeta import VersionMeta
class ConfigStorageBladeFilterConsts():
DECOMMISSIONED_FALSE = "false"
DECOMMI... |
# Copyright (c) Gorilla-Lab. All rights reserved.
import math
from typing import Optional, Union
import torch
import numpy as np
import scipy.ndimage as ndimage
import scipy.interpolate as interpolate
import transforms3d.euler as euler
from plyfile import PlyData
from plyfile import PlyElement
def elastic(xyz, gran,... |
from game.common.game_object import GameObject
from game.common.enums import *
from game.common.stats import GameStats
import math
def rotate(origin, point, angle_deg):
"""
Rotate a point counterclockwise by a given angle around a given origin.
The angle should be given in degrees, then is converted to ... |
from scipy import shape, dstack, sqrt, floor, array, mean, ones, vstack, hstack, ndarray
from vlfeat import vl_rgb2gray, vl_imsmooth, vl_dsift
from sys import maxint
"""
Python rewrite of https://github.com/vlfeat/vlfeat/blob/master/toolbox/sift/vl_phow.m
### notice no hsv support atm
### comments are largely copied f... |
# -*- coding: utf-8 -*-
# Copyright 2020 Google 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... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 21 14:19:48 2021
@author: nams
"""
import numpy as np
import scipy.constants
# from functools import cache
from functools import lru_cache
import tes_optical_stack.nk_code as nk_code
nk = nk_code.load_from_materials_mat()
z0 = np.sqrt(scipy.const... |
# -*- coding: utf-8 -*-
"""
Created on Sun May 17 17:56:26 2020
@author: philtabor
"""
import torch as T
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
class DeepQNetwork(nn.Module):
def __init__(self, lr, input_dims, fc1_dims, fc2_dims, fc3_dims,
... |
"""
Virtual software representation of the Launchpad Mini MK3.
"""
from tests._rtmidi_dummy import MidiIn, MidiOut, API_RTMIDI_DUMMY
from lpminimk3._lpminimk3 import LaunchpadMiniMk3
from lpminimk3._core.utils import MidiEvent, MidiClient,\
MidiPort
from lpminimk3.midi_messages impor... |
import logging
import os
import re
from collections import Counter, defaultdict
from itertools import chain
import networkx as nx
import pysrt
import spacy
from nltk.tag import StanfordNERTagger
from nltk.tokenize import word_tokenize
from subs2network.consts import IMDB_ID, SUBTITLE_PATH, ROLES_PATH, IMDB_NAME, STAN... |
# functions for post processing datasets
import glob
import numpy as np
import os
from skimage import io
import skimage.external.tifffile as skTiff
import numexpr as ne # routines for the fast evaluation of array expressions elementwise by using a vector-based virtual machine
# ==================================... |
import tensorflow as tf
import numpy as np
import os
from options import Option
from reconstruction_model import *
from data_loader import *
from utils import *
import argparse
###############################################################################################
# training stage
##################... |
import overpy
import RPi.GPIO as GPIO
import threading
import serial
import string
import pynmea2
import obd
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
from time import sleep
#connect to the usb OBD port
connection = obd.OBD()
#google auth stuff
cred = credential... |
from skimage import color, io, exposure, filters
from skimage import img_as_float
from PIL import Image, ImageFont, ImageDraw
from skimage.transform import rescale
import numpy as np
import json
def get_cropped_img(img, target_res):
h, w = img.shape[:2]
h_target, w_target = target_res
h_start = (h-h_targe... |
import tensorflow as tf
import numpy as np
import cv2
import argparse
from sklearn.utils import shuffle
def Dataset_preprocessing(dataset = 'MNIST', image_type = True):
if dataset == 'mnist':
nch = 1
r = 32
(train_images, _), (test_images, _) = tf.keras.datasets.mnist... |
# Copyright 2017 Rackspace
# 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 applic... |
import logging
import signal
import typing
from dbnd._core.constants import SystemTaskName, TaskRunState
from dbnd._core.errors import friendly_error, show_error_once
from dbnd._core.errors.base import DatabandSigTermError
from dbnd._core.plugin.dbnd_plugins import pm
from dbnd._core.task_build.task_context import Tas... |
import os
from datetime import datetime
from pathlib import Path
from typing import List, Tuple
import pandas as pd
from django.test import TestCase
from cryptofeed_werks.lib import (
aggregate_trades,
get_current_time,
get_min_time,
volume_filter_with_time_window,
)
from cryptofeed_werks.models impor... |
from datasets.dataset_utils import load_dataset_from_pkl, load_dataset_from_from_folder
from datasets.dataset_template import ColorDatasetInMemory, ColorDatasetOnDisk
import os
import numpy as np
def get_MiniImageNet(args_per_set, setnames=["train", "val", "test"]):
"""
Returns MiniImagenet datasets.
"""
... |
# Analyze the POS and NER results, look for correlations between them
import numpy as np
import matplotlib.pyplot as plt
import operator
class Token:
def __init__(self, word, postag, gold_postag, nertag, gold_nertag):
self.word = word
self.postag = postag
self.gold_postag = gold_postag
self.nertag = nertag
... |
# -*- coding: utf-8 -*-
import numpy as np
import math
import cv2
def get_diamond_c_from_original_coords(x,y, a,b, width, height,padding =22, radius=22):
"""
formula is
ax + by + c = 0
x = (xorig + padding - wc) / norm
y = (yorig + padding - hc) / norm
where x, y is in diamond space
"""
... |
"""
Loads synthetic reaction datasets from USPTO.
This file contains loaders for synthetic reaction datasets from the US Patent Office. http://nextmovesoftware.com/blog/2014/02/27/unleashing-over-a-million-reactions-into-the-wild/.
"""
import os
import logging
from typing import List, Optional, Tuple, Union
import de... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""simple_benchmarking.py: Python SDK."""
__author__ = "<NAME>"
__copyright__ = "Copyright 2015, EVARILOS Project"
__version__ = "1.0.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__status__ = "Development"
import raw_data_pb2
import urllib2
import time
import json... |
import types
def emptyProtocolInBuffer():
return types.SimpleNamespace(data=[], flags=-1, sent_data_size=None, device_id=-1, data_length=0)
class ProtocolValsIterator:
""" Useful for iterating over the values inside this buffer """
def __init__(self, buff):
self._buffer = buff
self._ind... |
import logging
import ujson as json
import random
from util.line_corpus import jsonl_lines, write_open
from util.args_help import fill_from_args
import os
logger = logging.getLogger(__name__)
class Config:
def __init__(self):
self.cell_sep_token = '*' # used to use '|' but albert doesn't have it
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#=======================================================================
#
# day_3.py
# --------
# Solution for Advent of code 2017, day 3.
# http://adventofcode.com/2017/day/3
#
# Status: Done.
#
# <NAME> 2017
#
#===========================================================... |
import tensorflow as tf
import numpy as np
from . import sparsematrix
import logging
logger = logging.getLogger(__name__)
def safe_inverse_one(Lambda,numstab):
return safe_inverse(Lambda[None],numstab)[0]
def symmetrize(Lambda):
return .5*(Lambda+batch_transpose(Lambda))
def batch_transpose(Lambda):
r... |
# -*- coding: utf-8 -*-
# Copyright 2015-2019 grafana-dashboard-builder contributors
#
# 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 ... |
# -*- coding: utf-8 -*-
# This file is part of CairoSVG
# Copyright © 2010-2012 Kozea
#
# This library is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option... |
"""This module contains simple helper functions """
from __future__ import print_function
import torch
import torch.nn.functional as F
import numpy as np
from PIL import Image
import os
def rgb_to_binary(input: torch.Tensor) -> torch.Tensor:
if not isinstance(input, torch.Tensor):
raise TypeError("Input ty... |
import os
import os.path as op
import json
import cv2
import base64
import numpy as np
import code
import torch
from tqdm import tqdm
from metro.utils.tsv_file_ops import tsv_reader, tsv_writer
from metro.utils.tsv_file_ops import generate_linelist_file
from metro.utils.tsv_file_ops import generate_hw_file
from metro.u... |
import pickle
import numpy as np
import random
class Cifar():
def __init__(self,filename):
self.filename = filename
splitfile = filename.split("/")
metaname = "/batches.meta"
metalabel = b'label_names'
if splitfile[-1] == "cifar-100-python":
metaname = "... |
"""Define latency predictor that predict the latency of model on devices.
"""
# Copyright (c) 2021 PaddlePaddle 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
#
... |
from sqlalchemy import Column, Integer, Numeric, String, Boolean, ForeignKey, PrimaryKeyConstraint, \
ForeignKeyConstraint, UniqueConstraint
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
Base = declarative_base()
class Team(Base):
__tablename__ = 'teams'
... |
#!/usr/bin/env python3.5
'''
========================
Test_Client module
========================
Created on March.17, 2021
@author: <NAME>
@Email: <EMAIL>
@TaskDescription: This module provide FEd-DDM Client app that access to web service of FEd-DDM Server.
'''
import logging
import argparse
import sys
import time
... |
"""
==========================================
Using cloudknot to run pyAFQ on AWS batch:
==========================================
One of the purposes of ``pyAFQ`` is to analyze large-scale openly-available
datasets, such as those in the
`Human Connectome Project <https://www.humanconnectome.org/>`_.
To analyze thes... |
from sqlobject import *
from sqlobject.sqlbuilder import func
from sqlobject.main import SQLObjectIntegrityError
from dbtest import *
from dbtest import setSQLiteConnectionFactory
class IterTest(SQLObject):
name = StringCol(dbName='name_col')
names = ('a', 'b', 'c')
def setupIter():
setupClass(IterTest)
f... |
"""
This module contains utility functions.
"""
import numpy as np
import itertools
def get_numpy_strategy_from_gambit_profile(game, mixed_profile, player_id):
"""
Given a mixed strategy profile in gambit format, convert it to numpy array for a specific player
:param game: the gambit game
:param mixed... |
import os
from itertools import combinations
import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
import cv2
import pandas as pd
from data_augmentation import transform_batch
def read_tfrecord(example_proto):
face = []
hand_1 = []
hand_2 = []
video_name = []
triangle_stream_... |
import matplotlib.pyplot as plt
import numpy as np
def plot_scores(output_path, colors):
""" Make bar plot of the score metrics and save image in output_path folder.
:param output_path: output path
:param colors: list of colors
"""
# data
rf_scores = [0.628099173553719, 0.7755102040816326, 0.... |
#coding: utf-8
import wx
import threading
import os
import settings
import lib.util as util
from media_repo import MediaRepo
def add_file(src_path, file_meta):
repo = MediaRepo()
repo.add_bookinfo(file_meta)
repo.add_history(file_meta['md5'], src_path)
repo.add_file(src_path, file_meta)
return 1
... |
from beem import Blurt
from beem.account import Account
from datetime import datetime
import pyrebase
import base64
import json
import os
import random
# Setup blurt nodes and account
blurt_nodes = ['https://rpc.blurt.world']
username = os.environ.get('USERNAME')
blurt = Blurt(blurt_nodes)
account = Account(username... |
import os
import pathlib
import sys
import astrodata
import gemini_instruments # noqa
import numpy as np
import pytest
from astrodata.testing import download_from_archive
from geminidr.gemini.lookups import DQ_definitions as DQ
from geminidr.gmos.primitives_gmos_spect import GMOSSpect
from gempy.utils import logutils... |
# Copyright 2017-present MongoDB, 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 to in w... |
import numpy as np
from utilities.objective_functions import TSPObjectiveFunction
from perm_LQUBO.form_new_LQUBO import NewLQUBO
from perm_LQUBO.next_perm import NextPerm
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from scipy import stats
ax = plt.figure().gca()
class ObjectiveFunction:
... |
"""
usage: python3 report_atom.py <walletaddress> [--format all|cointracking|koinly|..]
Prints transactions and writes CSV(s) to _reports/ATOM*.csv
Notes:
gaiad query txs --home /tmp/.gaia --events message.sender=<wallet_address> \
--node https://<RPCURL>:443 --limit 100
gaiad query txs --home /tmp/.gaia --... |
from __future__ import print_function
import os
from enum import Enum
import numpy as np
import torch
import torch.backends.cudnn
from skimage import io
from skimage import color
from models import FAN, ResNetDepth
from utils import crop, flip, get_preds_fromhm, draw_gaussian
class LandmarksType(Enum)... |
"""Script for creating a wheel rig
This tool takes a number of shapes and add a rig for them to
act as a wheel.
"""
from maya import cmds
import dataNodeManager
reload(dataNodeManager)
class WheelData(dataNodeManager.NodeData):
"""A class to save information for this rigging process.
This class inherits fr... |
import contextlib
import json
import os.path
import queue as queue_
import tempfile
import traceback
import pytest
import trio
import trio.testing
import datastore
from datastore.filesystem import FileSystemDatastore
from tests.conftest import DatastoreTests
@pytest.fixture
def temp_path():
with tempfile.Temporary... |
import matplotlib.pyplot
import matplotlib.patches as ptch
import numpy
import os
import inspect
##
matplotlib.pyplot.rcParams['font.size'] = 14
matplotlib.pyplot.rcParams['font.serif'] = 'Computer Modern Roman'
matplotlib.pyplot.rcParams['text.usetex'] = True
matplotlib.pyplot.rcParams['svg.fonttype'] = 'none'
matplo... |
"""Config flow for Tomorrow.io integration."""
from __future__ import annotations
from collections.abc import Mapping
import logging
from typing import Any
from pytomorrowio.exceptions import (
CantConnectException,
InvalidAPIKeyException,
RateLimitedException,
)
from pytomorrowio.pytomorrowio import Tomo... |
from Player import Player
import sys
import time
import random
from pprint import pprint
from board import Board
INF = 1.0e100
CORNERS = [(0, 0), (0, 7), (7, 0), (7, 7)]
CENTERS = [(3, 3), (3, 4), (4, 3), (4, 4)]
DANGERS = [(0, 1), (0, 6), (1, 0), (1, 1), (1, 6), (1, 7), (6, 0), (6, 1),
(6, 6), (6, 7), (7, ... |
# Copyright 2019 IBM 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 writing, ... |
import numpy as np
import pandas as pd
import numba
@numba.jit(nopython=True)
def _adjust_sigma(acc_rate, sigma):
"""
Tune sigma in proposal distribution.
Parameters
----------
acc_rate : float
The acceptance rate.
sigma : ndarray
Array of standard deviations for Gaussian prop... |
# Copyright 2018 Google. 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 agree... |
import tensorflow as tf
import tensorflow_addons as tfa
from tensorflow_probability import distributions, stats
import numpy as np
@tf.function
def sparsemoid(inputs):
return tf.clip_by_value(0.5 * inputs + 0.5, 0., 1.)
def get_binary_lookup_table(depth):
# output: binary tensor [depth, 2**depth, 2]
ind... |
# -*- coding: utf-8 -*-
"""
@author:XuMing(<EMAIL>)
@description: This examples trains CoSENT model with the English STS dataset.
It generates sentence embeddings that can be compared using cosine-similarity to measure the similarity.
"""
import argparse
import sys
import csv
import gzip
import time
import numpy as np
... |
import subprocess, os, time, socket, select
import threading
import re
import sys
if('win' in sys.platform):
player="vlc.exe"
else:
player= "vlc"
remote= "-I rc"
port = 10000
hostname = socket.getaddrinfo('localhost', 10000)[0][4][0]
extra = "--rc-host %s:%d"
class Communicator:
def __init__(self, player,... |
#!/usr/bin/env python3
#-*- utf-8 -*-
u"""
Created at 2021.03.16
basic func
"""
from matplotlib import pylab
from src.logger import logger
def get_limited_index(num, length):
u"""
Created by <NAME> at 2018.12.19
Due to the original author didn't draw any element out of provided range
So the scripts ... |
"""Provides CrawlRunner subclasses to wrap crawl process execution and
monitoring."""
import os
import sys
import signal
from os.path import join
import subprocess
import time
import shlex
from abc import ABCMeta, abstractmethod
from settings import (LANG_DETECT_PATH, CRAWL_PATH,
MODEL_PATH, CO... |
import os
import time
import re
import yaml
import sqlite3
from sqlite3 import Error
from subprocess import check_output
db_path = ".tmp/source/Public/index.db"
def get_id(con, cursor, table, field, value, force_new=False):
cursor.execute('SELECT rowid FROM {} WHERE {} = "{}";'.format(table, field, value))
... |
import json
import discord
from discord.ext import tasks
from . import utils as vbu
class Analytics(vbu.Cog):
FOUND_GATEWAY_OPCODES = {}
def __init__(self, bot: vbu.Bot):
super().__init__(bot)
self.post_statsd_guild_count.start()
self.post_topgg_guild_count.start()
self.pos... |
import wxversion
# wxversion.select("2.8")
import wx
import wx.media
import itertools as IT
import os
IMAGE_DIR = os.path.expanduser('H:\ieee//all_functions\linux server\python GUI\Grid_on_photo/images')
SOUND_DIR = os.path.expanduser('H:\ieee//all_functions\linux server\python GUI\Grid_on_photo/sounds')
class Main... |
# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.utils import date_diff
def execute(filters=None, consolidated = False):
data, columns = DelayedItemReport(filte... |
#!/usr/bin/env python3
def _extended_euclidean(a, b):
"""Helper function that runs the extended Euclidean algorithm, which
finds x and y st a * x + b * y = gcd(a, b). Used for gcd and modular
division. Returns x, y, gcd(a, b)"""
flip = b > a
if flip:
a, b = b, a
if b == 0:
return 1, 0, a
x,... |
from __future__ import print_function
import struct
import numpy as num
import sys
class KaldiParser(object):
NO_OPEN_BRACKET = "found > before <"
ERR_NO_CLOSE_BRACKET = "reached eof before >"
ERR_BYTES_BEFORE_TOKEN = "found bytes before <"
NO_SPACE_AFTER = "missing space after >"
def __init__(se... |
# *****************************************************************************
# Copyright (c) 2017 <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 wi... |
# -*- coding: utf-8 -*-
################################################################################
# _____ _ _____ _ #
# / ____(_) / ____| | | #
# | | _ ___ ___ ___ | (___ _ _ ___... |
import os
import sys
from configparser import ConfigParser
from pathlib import Path
import argparse
user_config_path = os.path.expanduser("~") + "/.lightlab" + "/config.conf"
user_config_path = Path(user_config_path).resolve()
system_config_path = Path("/usr/local/etc/lightlab.conf")
default_config = {"labstate": {'... |
# coding=utf-8
# Copyright 2020 Google 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 ... |
#!/usr/bin/env python3
#
# Sample from a trained network
import re
import time
from collections import namedtuple
from math import sqrt
import numpy as np
import torch
from uncertainties import ufloat
import ising
from args import args
from made import MADE
from pixelcnn import PixelCNN
from utils import get_ham_arg... |
# Copyright © 2022 Province of British Columbia
#
# 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 agr... |
import pytest
import numpy as np
from awkward import JaggedArray
from fast_carpenter import expressions
def test_get_branches(infile):
valid = infile.allkeys()
cut = "NMuon > 1"
branches = expressions.get_branches(cut, valid)
assert branches == ["NMuon"]
cut = "NMuon_not_found > 1 and NElectron ... |
# -*- coding: utf-8 -*-
from django.db import models
from django.conf import settings
from django.utils.translation import ugettext as _
from django.dispatch import receiver
from django.db.models.signals import post_save
from django.db.models.signals import pre_save
from blockchain.wallet import Wallet
# Create your m... |
import requests
from flask import render_template, abort, make_response, request
from .utilities_db import get_all_projects, get_popular_repos, get_first_launch_ts
from . import app, cache
@cache.cached(timeout=300, key_prefix='binder_versions')
def get_binder_versions(binders):
main_versions = None
for binde... |
import os
import json
import argparse
import traceback
from datetime import datetime, timedelta
from parallelm.mlops import mlops
from slackclient import SlackClient
from parallelm.mlops.stats.opaque import Opaque
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--token", help="slack t... |
# -*- coding:utf-8 -*-
# @author xupingmao
# @since 2016
# @modified 2020/10/02 08:57:56
# CPython运行环境使用
# minipy 不依赖这个工具
import sys
import struct
import os
import shutil
import time
ARGV = sys.argv
argv = sys.argv
system = os.system
def _repl_print(p, maxlen = 40, n = 0, depth = 2):
if depth <= 0:
pri... |
import time
import sqlite3
import xlrd
import tablib
xlrdCtypeMap = ["#","text","number","datetime"]
openpyxlMap ={"s":"text","n":"number","d":"datetime"}
"""
def readXlsxFile(filePath):
file = xlrd.open_workbook(filePath)
table = file.sheets()[0]
labelRow = table.row(0)
firstRow = table.row(1)
lab... |
"""The module implements algorithms to transform MCNP model.
Inserts end comments with information about path in STP
corresponding to a cell and sets materials and densities,
if specified in STP paths.
"""
from typing import Generator, Iterable, List, Optional, TextIO, Tuple, Union
import math
import warnings
from... |
from gurobipy import Model, GRB, quicksum
from networkx import Graph, connected_components
edge2var = None
def callback_cycle(model, where):
""" Callback inserts constraints to forbid more than one cycle in solution candidates
:param model: a `gurobipy model <https://www.gurobi.com/documentation/9.1/refman/... |
"""
Axial Attention Block and necessary utils, taken from https://github.com/csrhddlam/axial-deeplab
"""
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class qkv_transform(nn.Conv1d):
"""
Conv1d for qkv_transform
"""
def conv1x1(in_planes, out_planes, stride=1):
"""
... |
# -*- coding: utf-8 -*-
"""
Created on Sun Dec 12 09:10:54 2021
@author: USER
"""
# DQN learn (tf2 subclassing API version)
# coded by St.Watermelon
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Dense
from tensorflow.keras.optimizers ... |
import json
import requests
import random
import datetime
import csv
import pymongo
import time
from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor
client = pymongo.MongoClient("192.168.0.210", 27017)
categories = {}
with open('docs/categories.csv') as r:
rows = csv.DictReader(r)
for row i... |
# Manta Python
# Manta Protocol Implementation for Python
# Copyright (C) 2018-2019 <NAME>
import argparse
import asyncio
from concurrent.futures._base import TimeoutError
import configparser
import logging
import os
import sys
import traceback
from aiohttp import web
from cryptography.x509 import NameOID
import inqu... |
import numpy as np
from gym import spaces
from pettingzoo import ParallelEnv
from smac.env import StarCraft2Env as sc_env
from malib.envs import Environment
from malib.utils.typing import Dict, AgentID, Any
from malib.backend.datapool.offline_dataset_server import Episode
agents_list = {
"3m": [f"Marine_{i}" fo... |
import base64
import logging
import os
import re
import struct
import time
import functools
from django.conf import settings
from modeltranslation.translator import translator
from resources.models import Resource, Unit, UnitIdentifier
from munigeo.models import Municipality
@functools.lru_cache()
def get_muni(muni... |
#!/usr/bin/env python3
# author : swing
# mail : <EMAIL>
import docker
import os
import platform
import logging
import argparse
from distutils.dir_util import mkpath
APPNAME = 'msl'
APPAUTHOR = 'swing'
SUPPORTED_UBUNTU_VERSION_LTS = [
# '14.04', Still many issues to be solved (version problems mostly)
... |
# -*- coding: utf-8 -*- #
# Copyright 2016 Google LLC. 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 requir... |
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