text stringlengths 6.04k 39.5k |
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import re
import copy
from bisect import bisect
from jinja2 import Template
"""
Markdown documentation variable
"""
MARKDOWN = """
{{ header }} {{ t.full_table_name(quoted=False, with_prefix=False) }}
{{ inspect.getdoc(t) or '' }}
| Column name | Column Type | PII | Description |
| ----------- | ---- | --- | -------... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Author: <NAME> <<EMAIL>>
Project: Bachelorarbeit
Module name:
Classifier
Short description:
Classifier module
License: MIT License
Version: 1.0
"""
import configparser
import matplotlib.pyplot as plt
import numpy as np
from sklearn import svm
from sklearn impor... |
#! /bin/python3
# -*- coding: utf-8 -*-
"""
Created on Mon May 28 11:29:47 2018
@author: swball
This file implements magnetic field calculations for the NQO Ytterbium experiment at SDU"""
import numpy as np
import matplotlib.pyplot as plt
from time import time
import mfs
def print_field_gradient(magnets, centr... |
#!/usr/bin/env python3
import glob, os, sys
from collections import defaultdict
import random
from shutil import copyfile
#List of schema parts to allow us to generate our own with dynamic tables
schemaparts = {
"PART": """
BEGIN;
CREATE TABLE PART (
P_PARTKEY SE... |
"""Python representations for DocuSign models.
See https://www.docusign.com/developer-center/explore/common-terms
.. note::
CamelCase is used here to mimic DocuSign names.
"""
from operator import attrgetter
ENVELOPE_STATUS_CREATED = 'Created'
ENVELOPE_STATUS_DRAFT = 'Draft'
ENVELOPE_STATUS_SENT = 'Sent'
ENVEL... |
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the niceman package for the
# copyright and license terms.
#
# ## ### ##... |
'''
Created on Apr 27, 2021
@author: Bill
'''
import numpy as np
import unittest
from functools import lru_cache
from geometry_base import Point, Line, Plyline, Rectangle
import logging
logger = logging.getLogger('fence_line')
if __name__ == '__main__':
logging.basicConfig(datefmt='%Y-%m-%d %H:%M:%S',
format... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Base test classes and functions for setting up ZCA.
In some cases, you may be better off using :mod:`zope.component.testlayer`.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# stdlib imports
import g... |
import os
from math import *
import numpy as np
import pandas as pd
from datetime import timedelta
from sklearn.decomposition import PCA
from sklearn.metrics import accuracy_score
from sklearn.cluster import KMeans, DBSCAN
from sklearn.preprocessing import StandardScaler, normalize
pd.options.mode.chained_assignment =... |
# @Author: <NAME>
# @Date: Tue, March 31st 2020, 12:36 am
# @Email: <EMAIL>
# @Filename: train.py
from pyleaves.models.base_model import add_regularization
import tensorflow as tf
import logging
import argparse
import json
import glob,os
import numpy as np
import pandas as pd
from sklearn.model_selection import t... |
# -*- coding: utf-8 -*-
"""
These are some useful functions used in CSD methods,
They include CSD source profiles to be used as ground truths,
placement of electrodes in 1D, 2D and 3D., etc
These scripts are based on Grzegorz Parka's,
Google Summer of Code 2014, INFC/pykCSD
This was written by :
<NAME>, <NAME>
Laborato... |
# decompyle3 version 3.3.2
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.8.5 (default, Jul 28 2020, 12:59:40)
# [GCC 9.3.0]
# Embedded file name: lib\bflb_com_if_uart.py
import time, binascii, serial, threading
from queue import Queue
from queue import Empty
from lib import bflb_utils
import globalvar as go... |
#setting the score
score=0
concussion=0
#importing stuff
import os
import time
import random
print(' _.-=..=-._ ')
print(' /\\ //\ ')
print(' | ||-++++-|| |')
print(' \// \\/')
print(' `-=..=-`')
print('Football by <NAME>')
print('DISCLAIMER')
print('Actions in this game may ... |
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 9 15:36:59 2016
@author: derrick
Module for running test casses
"""
###### imports and such
from __future__ import print_function, unicode_literals, division, absolute_import
import os
import shutil
from collections import namedtuple
import obspy
import pandas as pd
i... |
""""
demo on RDMM on 2d synthetic image registration
"""
import matplotlib as matplt
matplt.use('Agg')
import sys,os
os.environ["CUDA_VISIBLE_DEVICES"] = ''
import torch
sys.path.insert(0,os.path.abspath('.'))
sys.path.insert(0,os.path.abspath('..'))
sys.path.insert(0,os.path.abspath('../mermaid'))
import mermaid.modu... |
from temporalCNN.data_preprocessing import data_together, train_test_dataset
import talos as ta
# from temporalCNN.model_support import hyper_parameters, write_config, save_model_history
# from temporalCNN.neural_network import ssim_model
from talos.metrics.keras_metrics import fmeasure_acc
from talos import Deplo... |
def pandify(sdf):
res = sdf
final_cols = []
for f in res.schema.fields:
if '.' in f.name:
new_name = f.name.replace('.', '__')
field_name = '`{nm}`'.format(nm=f.name)
res = res.withColumn(new_name, res[field_name])
final_cols.append(f.name.replace('.', ... |
# /usr/bin/env python3.5
# -*- mode: python -*-
# =============================================================================
# @@-COPYRIGHT-START-@@
#
# Copyright (c) 2019, Qualcomm Innovation Center, Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification,... |
from re import A
import boto3
import botocore
import click
import configparser
import json
import re
from . import policies
def bucket_exists(s3, bucket):
try:
s3.head_bucket(Bucket=bucket)
return True
except botocore.exceptions.ClientError:
return False
def user_exists(iam, username... |
import torch
from torch import Tensor
import torch.nn as nn
from torchvision.models.utils import load_state_dict_from_url
from typing import Type, Any, Callable, Union, List, Optional
from torchvision import models
from torch.nn.parameter import Parameter
# based on https://github.com/pytorch/vision/blob/master/torch... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (C) 2009-2020 Authors of CryptoMiniSat, see AUTHORS file
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; version 2
# of the License.... |
"""Pure-python implementation of the sphinx onion routing format
Warning: This implementation is not intended to be used in production, rather
it is geared towards testing and experimenting. It may have several critical
issues, including being susceptible to timing attacks and crashes. You have
been warned!
"""
from ... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import datetime
import six
from nose.tools import ok_, assert_raises, assert_equal
from nose.tools.trivial import eq_
from booleano.operations.operands.constants import Number, String
from booleano.operations.variables import NumberVariable, BooleanVaria... |
# <NAME>. on github..
import threading
import library as library
import socketserver
import time
log_th = None
conf_th = None
header_th = None
command_w_th = None
class ThreadedTCPServer(socketserver.ThreadingMixIn, socketserver.TCPServer):
pass
class ThreadedTCPRequestHandler(socketserver.BaseRequestHandler)... |
"""This script generates additional plots for the latency breakdown experiment (exp1)
including all endpoints of all applications.
It is based on load_levels.py which plots many more aspects."""
# %% Imports
from sb_importer import *
from rciw import calculate_RCIW_MJ_HD
# %% Helper methods
def latency_label(latency... |
"""
Postprocessing the Markdown for various Hosting Ways
"""
from pytest2md.repo_search import search_repo, os_run
from functools import partial
import fnmatch
import json
import time
import sys
import os
# replacer for shortcut curls, which can be themselves replaced by the build
# static is just a static webserver:... |
from app import app
from es_connection import es
from es_search import _search_ranked_email_addrs, count, get_cached_email_addr, initialize_email_addr_cache
from es_queries import _build_filter, email_highlighting_query, _build_email_query, ids_query, email_attachment_guid
from es_topic import get_categories
#map t... |
import os
from keras.preprocessing.image import img_to_array, load_img
from keras.layers import GlobalAveragePooling2D, GlobalMaxPooling2D, Flatten, Dropout, Dense
from keras.models import Model
from keras.callbacks import ModelCheckpoint
from keras import regularizers
import constants
import threading
import json
from... |
#! /usr/bin/python3
#
# Copyright (c) 2019 <NAME> <<EMAIL>>
#
# 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 2.1 of the License, or (at your option) any later version.
#... |
import pandas as pd
from datetime import date
from os import sys, path
root_path = path.dirname(path.dirname(path.abspath(__file__)))
try:
import config
from Utiltity.common import *
from Utiltity.df_utility import *
from Utiltity.time_utility import *
from Analyzer.AnalyzerUtility import *
fr... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import functools
import net.base_net as base_net
###############################################################################
# define spatially adaptive normalized generator
# input: boundary and apperance latent vector
###########################... |
import io
import os
from os.path import join, splitext
import PIL.Image
import PIL.ImageTk
from tkinter import *
from tkinter import ttk
from tkinter.filedialog import askopenfilename
from tkinter.filedialog import asksaveasfile
from rwsrc import rwcore
tempname = "temp.tmp"
def MainApp(self):
try:
if n... |
import random
from queue import Empty
import warnings
import numpy as np
from psychopy import visual, core
from .Controller import word
from Offline.utils import char2index
class Stimulator:
colors = [[255, 0, 0], [0, 255, 0], [0, 0, 255], [255, 0, 255], [160, 82, 45], [100, 120, 100]]
duration = 150 # in ... |
import select
import socket
import sys
import time
#############################################################
#
# A couple of helper functions from stack overflow
#
#############################################################
# from https://stackoverflow.com/questions/6229073/how-to-make-a-python-dictionary-tha... |
#
# Copyright (c) 2015-2021 <NAME> <tflorac AT ulthar.net>
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRANTIES ARE... |
from datetime import datetime, timedelta
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.core.exceptions import PermissionDenied, SuspiciousOperation
from django.db.models import Prefetch, Q
from django.http import HttpResponse, JsonResponse
from django... |
from collections import namedtuple
from unittest import TestCase
import multiprocess as mp
import numpy as np
from scipy import signal
from scipy.special import erf
from testing_utils import assert_almostclose
from vznncv.signal.generator.onedim import generate_process_realization
def f_psd_norm(f, f_0, alpha):
... |
from os.path import join as opj
import numpy as np
import json
from pandas import DataFrame, Series, read_sql_query
from sqlalchemy import create_engine
from configs.nucleus_style_defaults import Interrater as ir
from interrater.interrater_utils import (
_connect_to_anchor_db, get_fovinfos_for_interrater,
get_a... |
from typing import Optional
import torch
from torch import matmul
from torch_extensions.ops import (
batch_cholesky_inverse,
batch_diag,
kron,
symmetrize,
matvec,
make_block_diagonal,
cov_from_invcholesky_param,
inv_from_invcholesky_param,
cholesky,
)
from inference.analytical_gausia... |
#!/usr/bin/env python3
# coding=utf-8
import requests
import json
import argparse
import sys
VERBOSE = False
def check_res(r):
"""Test if a response object is valid"""
# if the response status code is a failure (outside of 200 range)
if r.status_code < 200 or r.status_code >= 300:
# print the sta... |
from charcoaltoken import CharcoalToken as CT
from unicodegrammars import UnicodeGrammars
from compression import Compressed
from codepage import rCommand
import re
def string(s):
if s == "":
return [("v", "ω")]
if s == "ABCDEFGHIJKLMNOPQRSTUVWXYZ":
return [("v", "α")]
if s == "abcdefghijkl... |
from __future__ import annotations
from typing import Iterable, Sequence, cast
from .codeblock import Load, Store
from .expression import (
AddOperator,
AndOperator,
Complement,
Expression,
IntLiteral,
LVShift,
Negation,
OrOperator,
RVShift,
SignTest,
XorOperator,
trunc... |
#! /usr/bin/python
# -*- coding: utf-8 -*-
"""
* Created by zbl on 18-12-10 上午10:56.
* 依赖pdf2htmlEX 解析pdf 文件，主要是table
"""
import os
import bs4
import numpy as np
from bs4 import BeautifulSoup
from pdfparser.pdf_tables_merge import merge_tables
from pdfparser.pdf_images_gen import use_image_get_table_top_bottom
... |
"""
Implementation of this paper:
https://arxiv.org/pdf/1807.10165.pdf
pytorch implementation: https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets/blob/master/Models.py
"""
import jittor as jt
from jittor import init
from jittor import nn
# UNet++，插值增大尺寸后直接拼接特征，原论文
class NestedUNet(nn.Module):
def __... |
import os
import ujson as json
import pytups as pt
import pandas as pd
import datetime
import numpy as np
def read_json(filename):
with open(filename, 'r') as f:
return json.load(f)
def _treat_stop_area(one_stop):
get_line_time = lambda v: (v['line']['shortName'], v['dateTime'])
return pt.TupList... |
import traceback
from django.shortcuts import render
# from django.http import HttpResponse
from django.http import JsonResponse
# import mysql.connector as mysql
import time
from django.db import connections
import re
from project import mongoClient
from datetime import datetime
import sqlparse
from project.sql2Mongo... |
# --------------------------------------------------------------------------
# Source file provided under Apache License, Version 2.0, January 2004,
# http://www.apache.org/licenses/
# (c) Copyright IBM Corp. 2015, 2016
# --------------------------------------------------------------------------
"""
Configurati... |
###############################################################################
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
###############################################################################
imp... |
import torch, time, copy, random, traceback, math, csv
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import abc
import numpy as np
from collections import deque
from itertools import chain
from utils.Epsilon import Epsilon
from utils.ReplayMemory import ReplayMemory, Transition
from ... |
import json
import copy
def str_recommends(dict, data, adapt=False):
"""
:param dict: list或者字符串
:param data: 字符串,用于与dict中的每一项作匹配
:param adapt: 标识,True,dict为字符串,计算dict与data的相似度, False,dict为list, 搜寻最匹配的推荐项返回(如果满足要求)或者data本身
:return: 如果adapt为True,返回data与匹配度最高项的相似度得分,adapt默认是False,返回推荐值(如果满足要求)或者data本... |
import os
import json
import base64
import string
from time import time
from uuid import uuid4
from pathlib import Path
from traceback import format_exc
from contextlib import suppress
import rollbar
import boto3
from botocore.config import Config
from cryptography.hazmat.primitives.hashes import SHA256
from cryptogr... |
"""
Zero shot eval according to composed utterances
"""
import os
import vis
import torch
import numpy as np
import json
from collections import defaultdict, Counter
from torch.nn.utils.rnn import pad_sequence
import random
import torch.nn.functional as F
import pandas as pd
from scipy.spatial.distance import squaref... |
# -*- coding: utf-8 -*-
r"""
classes for working with lightcurves from the CDIPS pipeline
"""
# Import standard library
from os.path import join, exists
import logging
# Import library
import numpy as np
import pandas as pd
import matplotlib.pyplot as pl
import astropy.units as u
from lightkurve import TessLightCurve... |
from enum import Enum
from misc import *
import mido
def can_parse_from_hex(s):
try:
int(s, 16)
return True
except ValueError:
return False
class MonoPatch:
class VCO1Wave(Enum):
SQUARE = 0
TRIANGLE = 1
SAW = 2
class VCO2Wave(Enum):
NOISE = 0
... |
import functools
import inspect
import warnings
import numpy as np
import xarray as xr
from cmip6_preprocessing.utils import _key_from_attrs, cmip6_dataset_id
try:
import xesmf
except ImportError:
xesmf = None
# define the attrs that are needed to get an 'exact' match
exact_attrs = [
"source_id",
... |
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
from pathlib import Path
from .utils import is_valid_email
from tqdm.auto import tqdm
from functools import lru_cache
from inspect import signature
import re
import pandas as pd
from collections import deque
def ge... |
from collections import namedtuple
from string import ascii_letters, punctuation
from unittest import mock, TestCase
from xml.sax.saxutils import escape
import html
import io
import json
import os
import random
import textwrap
import unittest
from hypothesis import example, given, Phase, settings
from hypothesis impor... |
# keyword.py - $Keyword$ expansion for Mercurial
#
# Copyright 2007-2009 <NAME> <<EMAIL>>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
#
# $Id$
#
# Keyword expansion hack against the grain of a DSCM
#
# There are many good reaso... |
import json
import datetime
from django import views
from app01 import models
from utils.enc import uid
from django.urls import reverse
from django.conf import settings
from django.db import transaction
from django.shortcuts import render
from django.http import JsonResponse
from utils.pagination import Pagination
from... |
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import argparse
from collections import defaultdict
from functools import reduce
import gc
import logging
import math
imp... |
#!/usr/bin/env python
#
# CodeWarrior demangler, supporting operators, templates (including literals), and arrays.
#
# This can be included as a library, or used as a CLI application directly:
#
# $ ./demangle_cw.py 'check__3FooCFUlR3Bar'
# Foo::check (long unsigned, Bar &) const
#
# CodeWarrior's symbol mangling a... |
# Code for "ActionCLIP: ActionCLIP: A New Paradigm for Action Recognition"
# arXiv:
# <NAME>, <NAME>, <NAME>
from re import S
import torch
from torch import nn
from collections import OrderedDict
from torch.nn.modules import dropout
from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence
from einops i... |
from common.HATLib import *
import time
import random
from math import floor
from math import ceil
from math import pow
noisetable = array('f', [0] * 16 * 16 * 16)
for i in range(0, 16 * 16 * 16):
noisetable[i] = random.random()
def lerp(x, y, t):
return x * t + y * (1.0 - t)
def perlinnoise(x, y, z):
mi... |
import sys
from PyQt5 import QtWidgets, uic
from mpmath import log10, ln, sqrt, fac
import decimal
def except_hook(cls, exception, traceback): # PyQt5 doesn't output traceback errors by default
sys.__excepthook__(cls, exception, traceback)
if __name__ == "__main__":
sys.excepthook = except_hook
... |
# Copyright (c) 2016 <NAME>
#
# 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 agre... |
import os, sys, logging
import types
from flask import Flask, Response
from flask import current_app, render_template, url_for, flash, session, request, redirect, g, abort, send_from_directory
from flask.ext.login import LoginManager
from flask.ext.login import login_user, logout_user, current_user, login_required
#goo... |
import logging
import json
import time
import re
import os
import functools
from copy import deepcopy
from datetime import datetime
from collections import Iterable
import yaml
import tablib
import requests
from pprint import pprint
from concurrent import futures
from flask import current_app, jsonify, request
from re... |
#!/usr/bin/python3
import sys
import numpy as np
import pandas as pd
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pydotplus
from scipy import stats
from mpl_toolkits.mplot3d import Axes3D
from sklearn import datasets
from sklearn.decomposition import PCA
from sklearn import model_sele... |
# -*- coding: utf-8 -*-
#
# Copyright (c) 2011 <NAME>.
#
#This program is free software: you can redistribute it and/or modify
#it under the terms of the GNU General Public License as published by
#the Free Software Foundation, either version 3 of the License, or
#(at your option) any later version.
#
#This program is ... |
# Authors: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
import numpy as np
from scipy.spatial.distance import cdist
from .environment import Environment
from bolero.utils.log import get_logger
class OptimumTrajectory(Environment):
"""Optimize a trajectory according to some criteria.
Parameters
---------... |
import logging
import copy
import time
import os
from functools import partial
from multiprocessing import Pool
from collections.abc import Iterable
import numpy as np
import numba as nb
import matplotlib.pyplot as plt
__all__ = ["repeater_mc", "plot_mc_simulation"]
def repeater_mc(parameters, multiprocessing=Fals... |
import tensorflow as tf
print('Using Tensorflow '+tf.__version__)
import matplotlib.pyplot as plt
import numpy as np
import time
import src.siamese_sr as siam_sr
from src.visualization import show_frame, show_crops, show_scores
# TODO: <> import
import src.scale_whratio as scr
import src.windows as windows... |
import cv2
from PIL import Image
import numpy as np
import pandas as pd
import torch
from torch import nn
import torchvision
from torchsat.transforms import transforms_seg
import matplotlib.pyplot as plt
from torchvision.transforms import transforms
from torch.utils.data import Dataset
import torch.nn.functional as F
f... |
import json
import collections
import itertools
import copy
import pandas as pd
import seaborn as sns
from matplotlib import pyplot
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
import matplotlib
from scipy import stats
from scipy.misc import derivative
f... |
# coding:utf-8
'''
Created on 2017/11/28.
@author: chk01
'''
from utils import random_mini_batches
import tensorflow as tf
import numpy as np
import scipy.io as scio
batch_size = 8
vec_len = 8 # each caps's len
num_outputs = 32 # like cov's channels
epsilon = 1e-9
iter_routing = 1
num_outputs2 = 10
vec_len2 = 16
... |
import numpy as np
import torch
import dgl
import stag
import dgl.nn.pytorch as dglnn
import torch
import torch.nn as nn
from dgl import function as fn
from dgl._ffi.base import DGLError
from dgl.nn.pytorch.utils import Identity
from dgl.ops import edge_softmax
from dgl.utils import expand_as_pair
class GATConv(nn.Mo... |
"""Manages state transitions for PaymentChannel objects."""
import codecs
import time
import enum
import math
import two1.bitcoin as bitcoin
from . import walletwrapper
class StateTransitionError(AssertionError):
"""Invalid state transition error."""
pass
class InsufficientBalanceError(ValueError):
"""... |
"""Module to represent a Netatmo module."""
from __future__ import annotations
import logging
from datetime import datetime
from enum import Enum
from typing import TYPE_CHECKING
from ..const import _GETMEASURE_ENDPOINT
from ..exceptions import ApiError
from ..modules.base_class import EntityBase, NetatmoBase, Place
... |
"""
opcode module - potentially shared between dis and other modules which
operate on bytecodes (e.g. peephole optimizers).
"""
__all__ = ["cmp_op", "hasconst", "hasname", "hasjrel", "hasjabs",
"haslocal", "hascompare", "hasfree", "opname", "opmap",
"HAVE_ARGUMENT", "EXTENDED_ARG", "hasnargs"]
... |
'''
Reference:
https://github.com/yuchenlin/lstm_sentence_classifier/blob/master/LSTM_sentence_classifier.py
'''
# -*- coding: utf-8 -*-
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import data_loader
import os
import random
import log... |
"""Adapted from:
@dbolya yolact: https://github.com/dbolya/yolact/data/config.py
Licensed under The MIT License [see LICENSE for details]
"""
from models.backbone import ResNetBackbone
import torch
COLORS = (
(244, 67, 54),
(233, 30, 99),
(156, 39, 176),
(103, 58, 183),
(63, 81, 181),
... |
"""
ckbit.app_ea
"""
import pystan
from datetime import datetime
import numpy as np
import pickle
from hashlib import md5
import pandas as pd
import matplotlib.pyplot as plt
import arviz
from vunits.constants import R as R_conv
from tabulate import tabulate
def write_app_ea_stan_code(Ea_up_lim=350, ... |
import os
import pickle
import numpy as np
import pybullet as p
USE_WALL_CONTACT = True
def run_dijkstra(env, target_position, goal_tolerance=0.5, use_other_room=False):
"""
Run dijkstra in 3D space
target_position = (goal_x, goal_y, goal_z)
Assumptions:
x_range1: -16, -13.5
y range1: ... |
# -*- coding: utf-8 -*-
""" doScan.py
The core interface that takes minimal text description of scan and does IPC with hardware system
This is the common entry into the hardware interface and uses a minimal text desc file containing three
blocks: [Major], [Minor], [Interface]. This routine can be called independently... |
# 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 to in writing, ... |
# -*- coding: utf-8 -*-
"""
@date: 2021/7/20 下午10:23
@file: prune_mobilenet_v2.py
@author: zj
@description:
"""
import numpy as np
import torch
import torch.nn as nn
from torchvision.models.mobilenetv2 import ConvBNActivation, ConvBNReLU, InvertedResidual
from slim.prune.layers import create_conv2d, create_batchnor... |
from random import randint
import numpy as np
import datetime
import time
import pytest
from mmgroup import MM0, MMSpace, MMV
from mmgroup.generators import gen_leech2_type
from mmgroup.generators import gen_leech2_reduce_type2
from mmgroup.generators import gen_leech2_reduce_type2_ortho
from mmgroup.generators impo... |
# Copyright 2016 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 agree... |
import os
import sys
import glob
import h5py
import copy
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
#Mish激活函数
class Mish(nn.Module):
def __init__(self):
super(Mish, self).__init__()
def forward(self, x):
return x * torch.... |
# -*- coding: utf-8 -*-
from collections import OrderedDict
import time
import os
import re
import h5py
import pandas as pd
import numpy as np
from .settings import *
from .io.file import get_alignment_file_handle
from .core.get_gadgets import *
from .core.metagene import *
from .metadata import set_metadata
from .co... |
import datetime
import argparse
import sys
import os
import cairo # from pycairo, i.e. install pycairo if missing
# Configuration
DOC_NAME = "life_calendar.pdf"
PAST_DATE = datetime.datetime.strptime('14/12/2021', '%d/%m/%Y')
# PDF conversion factors
# DOC_WIDTH and DOC_HEIGHT units are "points"
# 360 points = 5 ... |
import numpy as np
import pickle
import tensorflow as tf
import os
import sys
sys.path.append("../../..")
sys.path.append("../..")
sys.path.append("..")
import utils
import random
import math
from mimic3models.multitask import utils as mt_utils
from waveform.WaveformLoader import WaveformDataset
from mimic3models.prepr... |
import pytest
from unittest import mock
from numpy import testing as npt
from matplotlib import pyplot as plt
import networkx as nx
from openfe.utils.network_plotting import (
Node, Edge, EventHandler, GraphDrawing
)
from matplotlib.backend_bases import MouseEvent, MouseButton
def _get_fig_ax(fig):
if fig i... |
"""Library functions for set janitor prompt and janitor eval-prompt commands."""
import gdb
import gdb.prompt
import sys
import janitor.typecache
import janitor.dump
import janitor.ansiterm
class PrettyPromptException(Exception):
pass
known_types = {
"v": "void",
"c": "char",
"sc": "signed char",
... |
import praw
import os
from datetime import datetime
import time
from dateutil.relativedelta import relativedelta
import sys
def __init__():
r = praw.Reddit('bot')
print ('Conectado.')
return r
def run_bot(r, subreddits_list, replies_list, posts_list):
print ('1/5: conferindo novas postagens ... |
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 27 17:06:30 2019
@author: Roberto
"""
import argparse
from collections import defaultdict
refseq_names = 'name2'
hgnc_names = 'Approved symbol'
def parse_cmd():
'''
parsing command line parameters
'''
parser = argparse.ArgumentParse... |
# Author: Yubo "Paul" Yang
# Email: <EMAIL>
# Example input sections to QMCPACK. Intended to be easily extendable.
# To edit an example for your need, please refer to lxml documentation. There are extensive documentation regarding how to iterate through the children of a node, get and set attributes, as well as insert... |
import sys
import os
import io
sys.path.append("../")
import json
import pony.orm as pny
import Utils.log as log
import Database
import datetime
from version_info import VERSION_POSTFIX
from uuid import uuid4
from ExternalServices import logins
from ExternalServices import incidents
from Database.users import User
from... |
import argparse
import cv2
from moviepy.editor import ImageSequenceClip
import numpy as np
from PySide2 import QtCore,QtGui,QtWidgets
import os
import pickle
from sklearn.decomposition import PCA
import sys
import tensorflow as tf
import trimesh
import yaml
from pathlib import Path
basePath = (Path(__file__).parent / ... |
# !/usr/bin/env python
# coding: utf-8
import codecs
import json
import os
import subprocess
import time
from typing import Tuple
from .compile import BuildRemoteLinuxCommand, BuildLang
from .. import Tron, Evm
from ..compile.paths import Paths
from ..exceptions import ValidationError, NoWalletError
from ..trx import ... |
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