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# ----------------------------------------------------------------------------
# Copyright (c) 2017-2020, QIIME 2 development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... |
import pytest
from rdkit import Chem
from polymetrizer.graph import AtomGraph, MolecularGraph
from polymetrizer import Monomer
from .smiles import ACE, CYS, PRO, CYS3, CYS3PRO, CYS3PRO2
@pytest.fixture()
def ace_graph():
return MolecularGraph.from_smiles(ACE)
@pytest.fixture()
def cys_graph():
return Mole... |
#!/usr/bin/env python3
import argparse
import allel
import numpy as np
import pandas as pd
# this script generate a dataframe file for allele depths for each samples
def init_argparser():
p = argparse.ArgumentParser()
p.add_argument('-o', '--outfile', default='outdepths.txt')
p.add_argument('-b', '--bed... |
#coding=utf-8
import numpy as np
import functools
import tensorflow as tf
import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
import matplotlib.pyplot as plt
plt.switch_backend('agg')
class LossHistory(keras.callbacks.Callback):
def on_train_begin(self, logs={}):
... |
# Borrowed for PyTorch repo
# This script outputs relevant system environment info
# Run it with `python collect_env.py`.
import re
import subprocess
import sys
from collections import namedtuple
from setup import NeodroidPackage
import neodroid
PY3 = sys.version_info >= (3, 0)
# System Environment Information
Syst... |
"""
python version compatibility code
"""
import sys
import inspect
import types
import re
import functools
import py
import _pytest
try:
import enum
except ImportError: # pragma: no cover
# Only available in Python 3.4+ or as a backport
enum = None
_PY3 = sys.version_info > (3, 0)
_PY2 = not _PY3
... |
import re
import random
import itertools
import math
from collections import defaultdict
from src.utilities import *
from src import channels, users, debuglog, errlog, plog
from src.functions import get_players, get_all_players, get_main_role, get_reveal_role, get_target
from src.decorators import command, event_liste... |
import double_integrator
import neural_network_lyapunov.control_lyapunov as control_lyapunov
import neural_network_lyapunov.mip_utils as mip_utils
import torch.nn as nn
import torch
import numpy as np
import cvxpy as cp
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D # noqa
"""
This file exerci... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import numpy as np
import os
# import dependencies
from data_generator import Generator
from model import Siamese_GNN
from Logger import Logger
import time
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
#Pytorch requirements
import unicodedata
im... |
from __future__ import (absolute_import, unicode_literals)
from collections import OrderedDict
from django import template
from django.core.urlresolvers import reverse
register = template.Library()
# TODO Cleanup this file. Lot unnused
@register.simple_tag(takes_context=True)
def update_plugin_groups_counter(con... |
import collections
import json
import numpy as np
import warnings
from . import c, exceptions
PY_TO_DTYPE = {
bool: np.dtype(bool),
int: np.dtype(int),
float: np.dtype(float),
}
VALID_PY_TYPES = {
bool,
int,
float,
}
VALID_NP_TYPES = {
np.bool_,
np.int8,
np.uint8,
np.int16... |
import tensorflow as tf
import numpy as np
from random import choice, uniform
from collections import deque
from cnn import Cnn
from config import LEARNING_RATE, EPSILON_GREEDY_START_PROB, EPSILON_GREEDY_END_PROB, EPSILON_GREEDY_MAX_STATES, \
MAX_MEM, BATCH_SIZE, VISION_W, VISION_B, VISION_F, TARGET_NETWORK_UPDATE... |
from collections import deque
import os
import cv2
from .wrapper_base import Wrapper, ObservationWrapper
import gym
import gym.spaces as spaces
import numpy as np
os.environ.setdefault("PATH", "")
cv2.ocl.setUseOpenCL(False)
class FrameStack(Wrapper):
def __init__(self, env, k):
"""Stack k last frames."... |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license.
"""
python -m tf2onnx.convert : tool to convert a frozen tensorflow graph to onnx
"""
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import tens... |
# 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
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... |
"""The Admin module for the Bower Cache registry."""
import logging
from django import forms
from django.core.exceptions import ValidationError
from django.conf import settings
from django.conf.urls import patterns, url
from django.contrib import admin, messages
from django.contrib.admin.views.main import ChangeList
f... |
import os
import sys
import logging
import paddle
import argparse
import functools
import math
import paddle.fluid as fluid
sys.path.append("..")
import imagenet_reader as reader
import models
sys.path.append("../../")
from utility import add_arguments, print_arguments
from paddle.fluid.contrib.slim import Compressor
... |
"""Utilities to combine converted images into atlas and to create manifest."""
import math
import os
from absl import logging
from PIL import Image
# Manifest Key names
MANIFEST_IMAGE_NAME_KEY = 'image_name'
MANIFEST_SOURCE_IMAGE_KEY = 'source_image'
MANIFEST_OFFSET_X_KEY = 'offset_x'
MANIFEST_OFFSET_Y_KEY = 'offset_... |
#!/usr/bin/env python
from funlib.show.neuroglancer import add_layer
import argparse
import daisy
import glob
import neuroglancer
import os
import webbrowser
import numpy as np
import zarr
parser = argparse.ArgumentParser()
parser.add_argument(
'--file',
'-f',
type=str,
action='append',
help="The ... |
import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from utils import *
import numpy as np
import argparse
from itertools import product
from torch.utils.data import DataLoader
def main(args):
test_hard_accs, test_accs = [], []
with open("runs.txt", "a") as f:
... |
import tensorflow as tf
from tensorflow.python.framework import ops
import open3d
if open3d.core.cuda.device_count() > 0:
from open3d.ml.tf.ops import furthest_point_sampling, three_nn, three_interpolate, three_interpolate_grad, ball_query
def furthest_point_sample(xyz, npoint):
"""Uses iterative furthest p... |
#!/usr/bin/env python3
import math
import argparse
from collections import Counter
import config as cfg
def main(args):
def get_log_prob(n_gram, model, caches):
"""
This is a nested method that will be passed to eval_model().
Args:
n_gram (tuple of str): represents an n-gram... |
import camelot
import json
def get_table_height(table):
all_y = []
for item in table.rows:
all_y.extend(item)
all_y = list(all_y)
return max(all_y) - min(all_y)
def get_table_width(table):
all_x = []
for item in table.cols:
all_x.extend(item)
all_x = list(all_x)
ret... |
import os
import time
from itertools import count
import ciso8601
import requests
from dotenv import load_dotenv
from terminaltables import SingleTable
LANGUAGES = [
"Java",
"C++",
"Python",
"Javascript",
"Go",
"Ruby",
"Swift",
"PHP"
]
PUBLISHED... |
"""
Copyright 2017-present Airbnb, 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 writing, sof... |
"""Animations interpolate a property between two values over a number of frames.
They can be combined to run at the same time, or directly after each other."""
class Animation(object):
"""
Creates an animation on *property*, with the specified
*easing*, to last *duration* in seconds.
The following exa... |
import versions
from . import framework as fw
import random, json, datetime, math
version = versions.Version(1, 9, 0)
nihonium_minver = versions.Version(0, 12, 0)
alt_minvers = {}
did_roll = False
pc_len = datetime.timedelta(minutes=30)
def rollADice(bot_data, thread_data, user_data, action="roll"):
global did_r... |
# -- coding: utf-8 --
# Copyright 2018 <NAME> <<EMAIL>>
import pickle
import zipfile
import os
import shutil
import tempfile
"""
This small utility can save and load python objects to a single file.
It uses ZIP DEFLATE compression method in order to keep the file small.
It works in a similar way as numpy.savez_compr... |
from operator_api.decorators import notification_on_error
import logging
import traceback
import sys
from celery import shared_task, exceptions
from django.conf import settings
from celery.utils.log import get_task_logger
from django.db import transaction
from contractor.interfaces import NOCUSTContractInterface, Loca... |
""" Test fusing two directory trees / wheels
"""
import os
from os.path import (join as pjoin, relpath, isdir, dirname, basename)
import shutil
from ..tools import (cmp_contents, get_archs, zip2dir, dir2zip, back_tick,
open_readable)
from ..fuse import fuse_trees, fuse_wheels
from ..tmpdirs impor... |
import argparse
import os
import time
import numpy as np
import chainer
from chainer import cuda
import pyprind
import utils
import treetk
import dataloader
import treesamplers # NOTE
import metrics
def main(args):
####################
# Arguments
tree_sampling = args.tree_sampling # NOTE
trial_nam... |
import cv2
import face_recognition
import json
import mysql.connector
import numpy as np
import os
import pickle
from datetime import datetime
from dotenv import load_dotenv
from pathlib import Path
env_path = Path('../..') / '.env'
load_dotenv(dotenv_path=env_path)
def insert_attendance(attendance, dat... |
import shutil
import tempfile
import unittest
import inspect
import os.path
import sqlalchemy
import logging
import json
from ..initialize import Initialize
from ..ingest.IngestRSS import IngestRSS
from ..features.BagOfWords import BagOfWords
from ..features.Datasource import Datasource
from ..dim_reduce.LSI import LS... |
import numpy as np
import tensorflow as tf
from tensorflow.contrib.keras import backend as K
import os
import matplotlib.pyplot as plt
from tensorflow.python.keras.models import Sequential, load_model
from tensorflow.python.keras.layers import Dense, Activation, Dropout
from sklearn.metrics import confusion_matrix, cla... |
import json
import os
from datetime import date, datetime
from pathlib import Path
from time import sleep
import requests
import servicemanager
import spotipy
import spotipy.util as util
import win32event
import win32service
import win32serviceutil
import ssmi
config_dir = str(Path.home()) + '\\SSMI'
def writeLog(... |
import m5
from m5.defines import buildEnv
from m5.objects import *
from m5.util import addToPath, fatal
import math
class NoCSocket(object):
"""docstring for NoCSocket."""
def __init__(self):
super(NoCSocket, self).__init__()
self.controller = 0
class DirectorySocket(NoCSocket):
"""... |
import torch
import torch.optim as optim
import plot as plotter
import matplotlib.pyplot as plt
def train_init(q, data, targets, n_init_train_steps=1000, lr=0.5):
optimizer = optim.SGD(q.parameters(), lr=lr)
for i in range(n_init_train_steps):
optimizer.zero_grad()
q_vals = q(data)
los... |
"""
Utilities module.
"""
import itertools
import numpy as np
import os
import zlib
# import logging
#
# from pprint import pprint, pformat
#
# logger = logging.getLogger("k3d")
# fh = logging.FileHandler('k3d.log')
# logger.addHandler(fh)
# logger.setLevel(logging.DEBUG)
# pylint: disable=unused-argument
# noinsp... |
import os
import glob
import pandas as pd
import numpy as np
import scipy as sp
import scipy.interpolate
# Welib https://github.com/ebranlard/welib
import welib
import welib.fast.fastlib as fastlib
import welib.tools.clean_exceptions
from welib.weio.fast_input_deck import *
from welib.weio.fast_input_file import *
de... |
# writers.py - re/encoding csv.writer wrappers
# TODO: consider Writer.writerow(<iterable>) (Python 3.5 compat)
from __future__ import unicode_literals
import io
import csv
from ._common import PY2, ENCODING, DIALECT
from ._common import none_encoding, is_8bit_clean, csv_args
from ._dispatch import register_writer
... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.core.files.base import ContentFile
from django.core.files.uploadedfile import InMemoryUploadedFile
from django.db import IntegrityError
from django.db.models import F
from django.http import JsonResponse, HttpResponseForbidden, HttpResponseBad... |
##
# .python.element
##
import os
from abc import ABCMeta, abstractproperty, abstractmethod
from .string import indent
from .decorlib import propertydoc
class RecursiveFactor(Exception):
"""
Raised when a factor is ultimately composed of itself.
"""
pass
class Element(object, metaclass = ABCMeta):
"""
The purpo... |
# Copyright (c) 2021-2022, NVIDIA 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... |
# coding=utf-8
# Copyright 2020 The Trax 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 a... |
# Copyright 2020 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 required by applicable law or a... |
import os
from CPAC.pipeline import nipype_pipeline_engine as pe
import nipype.interfaces.utility as util
def compute_fisher_z_score(correlation_file, timeseries_one_d):
"""
Computes the fisher z transform of the input correlation map
If the correlation map contains data for multiple ROIs then
the fun... |
"""Helper functions for Convolutional Sparse Coding.
Author : tommoral <<EMAIL>>
"""
import numpy as np
from scipy import signal
from .shape_helpers import get_full_support, get_valid_support
def compute_ztz(z, atom_support, padding_support=None):
"""
ztz.shape = n_atoms, n_atoms, 2 * atom_support - 1
... |
# Copyright (C) 2019 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause
"""
Contains classes and functions related to parsing a file,
and building a tree of nodes from it.
"""
import os
from codebasin.file_source import get_file_source
from . import preprocessor # pylint : disable=no-name-in-module
from . impo... |
import binascii
import base64
import datetime
from rest_framework import serializers
from . import models, utils
# pylint: disable=abstract-method
# pylint complains about missing optional `create` and `update` methods in
# a bunch of serializers
# Custom Fields
class Base64Field(serializers.Field):
def to_rep... |
import argparse
import sys
import torch
import torch.nn as nn
import torch.optim as optim
from tqdm import tqdm
import utils.classfiers as cl
import utils.utils as utils
import torch.nn.functional as F
import numpy as np
def main(args):
torch.manual_seed(17) # Randomly seed PyTorch
# Load train, dev, te... |
import numpy as np
import matplotlib.pyplot as plt
import random
import math
from numpy.random import default_rng
rng = default_rng()
# Generating data following a gaussian distribution
def generate_centered_gaussian(N, cov):
data = rng.multivariate_normal( (0,0), cov, size = N, check_valid='ignore')
retu... |
from flask_bcrypt import Bcrypt
from flask_login import LoginManager
from flask_admin import Admin
from flask_session import Session
from functools import *
from flask_security import Security, UserMixin, RoleMixin, login_required, current_user
from flask.sessions import SessionInterface, SessionMixin
from werkzeug.da... |
import json
import codecs
import operator
import numpy as np
from math import exp, isnan
from time import time
CLIMBING_AREAS_FILE = './data/rock-climbing/flattened-climbing-routes-2019.json'
COUNTIES_FILE = './data/us-census/us-county-lat-long-2017.txt'
ZIPCODES_FILE = './data/us-census/us-zipcode-lat-long-2017.txt'
... |
import discord
from discord.ext import commands
import utils
import json
import yaml
on_strs = ["yes", "y", "true", "t", "1", "enable", "on"]
off_strs = ["no", "n", "false", "f", "0", "disable", "off"]
default_settings = {
k: v["default"]
for k, v in utils.options.items()}
# Change server settings.
class Setting... |
# -*- coding: utf-8 -*-
###########################################################################
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
##############################################################... |
import torch
import torch.nn as nn
import math
import time
from nets.adaptive_conv import AdaptiveConv2d
from nets.network_init import GaussianInit, MSRAInit
class VGGNetwork(nn.Module):
def __init__(self, cfg='VGG16', batch_norm=False):
super(VGGNetwork, self).__init__()
self.layers ... |
from __future__ import unicode_literals
import ctypes
import logging
import re
import psycopg2.extensions
from .utils import (
AllDatabases,
Timer,
UserError,
ensure_unicode,
lower1,
urlparse,
urlunparse,
)
class ChangeLogger(logging.getLoggerClass()):
def change(self, msg, *args, *... |
import logging
import random
import asyncio
import time
import typing
import aiohttp
import json
import discord
import discord.ext.commands as commands
from bot.consts import Colors
from bot.utils.converters import Duration
from datetime import datetime
from bot.messaging.events import Events
log = logging.getLogge... |
#!/usr/bin/env python
import glob
import json
import os
import click
from collections import defaultdict, OrderedDict
from utils import (
reformat_phone_number,
reformat_address,
get_data_dir,
get_jurisdiction_id,
dump_obj,
ocd_uuid,
)
def process_link(link):
if not link["note"]:
d... |
# -*- coding: utf-8 -*-
# --------------------------------
# Name: xywy_crawler.py
# Author: <EMAIL>
# @Time 2020/7/19 上午11:56
# Description: 寻医问药网站数据爬取器
# --------------------------------
import requests as r
import os
from lxml import etree
def crawl_disease():
"""
description: 抓取疾病... |
import chainer
import chainer.functions as F
import chainer.links as L
class Discriminator(chainer.Chain):
"""Discriminator of Cycle-GAN. (70x70 PatchGAN)
Note: Batch normalization will be instance normalization
if batch size is 1.
"""
def __init__(self):
super(Discriminator, self).... |
from types import ClassType
import warnings
from django.contrib.contenttypes.models import ContentType
from django.db import models
from django.db.models.fields.related import OneToOneField
from django.db.models.manager import Manager
from django.db.models.query import QuerySet
class InheritanceQuerySet(QuerySet):
... |
# coding=utf-8
# Copyright 2021 The Uncertainty Baselines 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 ap... |
#!/usr/bin/env python3
# ======---------------------------------------------------------------====== #
# #
# Copyright 2021 <NAME> <<EMAIL>> #
# ... |
# -*- coding: utf-8 -*-
import argparse
import sys, time
import chainer
import chainer.optimizers
import chainer.serializers
import chainer.functions as F
from chainer import Variable
from chainer import cuda
import numpy as np
from model import LetterClassifyer
def argument():
parser = argparse.ArgumentParser()... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on 20.04.2021 - 22:09
@author: ALPARSLAN
"""
from selenium import webdriver
import time
import re
import pandas as pd
from collections import defaultdict
import getpass
import argparse
def main(watchlist=False, email=None, passwd=None):
"""
Selenium s... |
import numpy as np
from scipy import stats
from copy import copy
import warnings
from scipy.stats import f_oneway, f
from .dataset import Dataset
__all__ = ['Dataset']
class VarianceThreshold:
"""
The variance threshold is a simple baseline approach to feature selection.
It removes all features which vari... |
# 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, software
# distributed under t... |
# Deprecated code
from typing import Dict, List, Tuple
from rtree import index
from itertools import combinations
from ContextAccessor import ContextAccessor
from utils import *
def device_state_conflict(dis_i, dis_j):
total_j = sum(dis_j)
prob = 0
for idx, p in enumerate(dis_i):
prob += p * (tota... |
# Code generated by lark_sdk_gen. DO NOT EDIT.
from pylark.lark_request import RawRequestReq, _new_method_option
from pylark import lark_type, lark_type_sheet, lark_type_approval
import attr
import typing
import io
@attr.s
class GetDriveCommentListReq(object):
file_type: lark_type.FileType = attr.ib(
fac... |
import logging
from typing import List
import discord
from discord.ext import commands
from phelper.bot import PotiaBot
class AlumniRole(commands.Cog):
_VALID_MEMBER_ROLE = [
880773390305206276,
880773390305206275,
880773390305206274,
]
_ALUMNUS_ID = 890102605789937745
def __... |
#!/usr/bin/python
# Copyright (c) 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Generate new bench expectations from results of trybots on a code review."""
import collections
import compare_codereview
import... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import defaultdict
import argparse
import cv2
import glob
import logging
import os
import sys
import time
from caffe2.python import workspace
from core... |
#Need for Speed: Edge stuff is handled here.
import dbo
import cas
import payload
import ebx
import io
import os
from struct import pack,unpack
def readStringBuffer(f,len):
result=b""
end=f.tell()+len
result=b""
while 1:
byte=f.read(1)
if byte==b"\x00": break
result+=byte
... |
from interface import implements
from datashape import istabular
from .core import (
bind_expression_to_resources,
)
from zipline.pipeline.common import (
EVENT_DATE_FIELD_NAME,
FISCAL_QUARTER_FIELD_NAME,
FISCAL_YEAR_FIELD_NAME,
SID_FIELD_NAME,
TS_FIELD_NAME,
)
from zipline.pipeline.loaders.bas... |
#
# This file is part of Brazil Data Cube Collection Builder.
# Copyright (C) 2019-2020 INPE.
#
# Brazil Data Cube Collection Builder is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
#
"""Define interface for validate request date."""
... |
# ------------------------------------------------------------------------------
#
# Project: pytdml
# Authors: <NAME>, <NAME>
# Created: 2022-05-04
# Email: <EMAIL>
#
# ------------------------------------------------------------------------------
#
# Copyright (c) 2022 OGC Training Data Markup Language for AI Standar... |
"""Convert a single Geojson file to the format understood by StreetViewGame.
This expects that the input file contains a FeatureCollection.
The output format is as follows:
* each shape is in its own file
* index.json file has names for all shapes and links to their files
* "properties" section of each shape has:
... |
# This is some old code used to try and extrapolate parameter cost
# from some sample measurements. In the end I decided to throw it
# all out and just do the following:
#
# 1. measure the maximum memory that can be used
# 2. scale t to get the desired duration
#
# This change is motivated by
#
# 1. the desire to... |
# Copyright
# 2019 Department of Dermatology, School of Medicine, Tohoku University
#
# 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/LICENS... |
import os
import hashlib
import json
import time
import rsa
from dotenv import load_dotenv, find_dotenv
from blockchainpg.blockchain_utils import convertToPrivKey, convertToPubKey
load_dotenv(find_dotenv())
"""
The transaction class holds all aspects of a transaction object, which includes the addresses, timestamp, ... |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available.
Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... |
"""
Python wrapper and related helpers for directed_network using proxy widgets.
"""
from jp_doodle import doodle_files, dual_canvas, nd_frame, data_tables, svg_translation
from jp_doodle.dual_canvas import clean_dict
import jp_proxy_widget
import csv
from IPython.display import display, HTML
import numpy as np
direc... |
from __future__ import print_function
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib import colors
from collections import defaultdict
df = pd.read_csv('stats.txt', index_col=0, dtype={'game': 'str'})
# start and end points for each set (0 large numbe... |
import cv2
import numpy as np
import gym
from gym import spaces
class NoopResetEnv(gym.Wrapper):
def __init__(self, env, noop_max=30):
"""Sample initial states by taking random number of no-ops on reset.
No-op is assumed to be action 0.
"""
gym.Wrapper.__init__(self, env)
s... |
#!/usr/bin/env python3
'''
MIT No Attribution
Copyright Amazon Web Services
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, co... |
import os.path as osp
import torch
from cogdl.data import Graph, Dataset
from cogdl.utils import download_url
def read_triplet_data(folder):
filenames = ["train2id.txt", "valid2id.txt", "test2id.txt"]
count = 0
edge_index = []
edge_attr = []
count_list = []
triples = []
num_entities = 0
... |
"""
396. Rotate Function
Medium
You are given an integer array nums of length n.
Assume arrk to be an array obtained by rotating nums by k positions clock-wise. We define the rotation function F on nums as follow:
F(k) = 0 * arrk[0] + 1 * arrk[1] + ... + (n - 1) * arrk[n - 1].
Return the maximum value of F(0), F(1)... |
import os
import logging
import hashlib
import binascii
from fourcdl.utils import write_to_file
logger = logging.getLogger(__name__)
def md5(fname, hex=True):
# construct a hash object by calling the appropriate constructor function
hash_md5 = hashlib.md5()
# open file in read-only byte-mode
with op... |
import numpy as np
import pandas as pd
import pytest
from etna.datasets.tsdataset import TSDataset
from etna.models import NaiveModel
from etna.transforms.decomposition import STLTransform
from etna.transforms.decomposition.stl import _OneSegmentSTLTransform
def add_trend(series: pd.Series, coef: float = 1) -> pd.Se... |
import asyncio
import inspect
import warnings
# 3p
from asyncpg.protocol import Protocol as orig_Protocol
import asyncpg.protocol
import asyncpg.connect_utils
import asyncpg.pool
import wrapt
# project
from ddtrace.ext import net, db
from ddtrace.pin import Pin
from .connection import AIOTracedProtocol
from ...utils.... |
# Copyright 2017 Databricks, 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 writin... |
# -*- coding: utf-8 -*-
from __future__ import print_function
import os
import smtplib
import zipfile
import shutil
import pickle
import copy
import json
from email.mime.text import MIMEText
from logging.handlers import RotatingFileHandler
from datetime import datetime
from dotenv import load_dotenv
from celery.except... |
import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import make_interp_spline
from scipy import interpolate
imput_path = '30/submission/'
gt_path = 'groundtruth/'
def compute_ap(rec,prec):
# correct AP calculation
# first append sentinel values at the end
mrec = np.concatenate(([0.],... |
from bluesky_live.run_builder import RunBuilder
from bluesky_live.event import CallbackException
import pytest
from ...models.plot_specs import (
AxesAlreadySet,
Figure,
FigureList,
Axes,
Line,
Image,
)
# Generate example data.
with RunBuilder() as builder:
builder.add_stream("primary", d... |
import numpy as np
import cvxopt
import cvxopt.solvers
def lp_general_graph(unaries, edges, edge_weights):
if unaries.shape[1] != edge_weights.shape[1]:
raise ValueError("incompatible shapes of unaries"
" and edge_weights.")
if edge_weights.shape[1] != edge_weights.shape[2]:
... |
"""
This script compares HVAE, VAE, and NF models for a
Gaussian model with Gaussian prior
"""
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import scipy.stats
import time
import pickle
import os
from conf import params
from experiment_classes import HVAE, NF, VB
seed = 12345
np.random.s... |
#!/usr/bin/python
# vim: set fileencoding=utf-8
from collections import namedtuple
from datetime import datetime
import yaml
import pykintone
import pykintone.model_result as mr
KintoneEnv = namedtuple('KintoneEnv',
['kintone', 'meibo_app_id', 'book_app_id', 'log_app_id'])
API_USER = 'Administrator'
SYSTEM_US... |
import fjm
from preprocessor import resolve_macros
from tempfile import mkstemp
import os
from time import time
from defs import *
from fj_parser import parse_macro_tree
import pickle
def lsb_first_bin_array(int_value, bit_size):
return [int(c) for c in bin(int_value & ((1 << bit_size) - 1))[2:].zfill(bit_size)[-... |
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