text stringlengths 6.04k 39.5k |
|---|
#!/usr/bin/env python3
# coding: UTF-8
import os
import sys
import datetime
from copy import deepcopy
# import pprint
import subprocess
import re
from optparse import OptionParser
import json
import yaml
from collections import defaultdict
__VERSION__ = '0.2.8'
PYTHON_VERSION = sys.version_info[0] # major version... |
# coding: utf8
import logging
import time
from weakref import WeakValueDictionary
from octopus.dispatcher.model import FolderNode, TaskNode, Pool, RenderNode, Task, TaskGroup, Command, PoolShare
from octopus.dispatcher.model.node import BaseNode
from octopus.dispatcher.strategies import FifoStrategy, loadStrategyCla... |
"""This module lists, validates and bootstraps sources.
Context
-------
Contributors describe the data sources by filling up a pseudo-datapackage
file named source.description.yaml and dropping it into the national or
regional source folder. This (simplified) YAML format is chosen over the
JSO... |
import os
import sys
import ssl
import urllib
import urllib.request
import json
from io import BytesIO
import gzip
import base64
import argparse
import hashlib
import datetime
from .song import Song, ArtNotFound, get_album_art
from .history import History
from .sqlstore import SQLStore
from .library import Library
f... |
# -*- coding: utf-8 -*-
"""
Extract
=======
Functions to extract diagram-label pairs from schematic chemical diagrams.
author: <NAME>
email: <EMAIL>
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
... |
"""
Description: This script generates figures for paper
(Fig4, performance of all methods)
"""
import argparse
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
# import seaborn as sns
import matplotlib.pyplot as plt
from utils.networkx_operations import *
import numpy as np
import pandas as pd
import pickle... |
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from typing import List
from libs.NeuralNet import NeuralNet
from libs.regulariser import ShiftedL1L2
# -- Target Networks --
def dense_ae(
input_shape: tuple, layer_dims: List[int], hidden_activation="relu", p_dropout=.1, name="dense... |
"""
Adapted from https://github.com/kuangliu/pytorch-cifar/blob/master/models/preact_resnet.py
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
import pandas as pd
from numbers import Number
from .layers import Conv2d
from .base import RegressionModel, ClassificationMode... |
import torch, torch.nn as nn, torch.nn.functional as F
from torch.nn.utils.rnn import pad_sequence
class SimpleAttention(nn.Module):
def __init__(self, input_dim):
super().__init__()
self.input_dim = input_dim
self.scalar = nn.Linear(self.input_dim,1,bias=False)
def fo... |
import zlib
import warnings
import multiprocessing
from collections import defaultdict
from enum import Enum
from pydantic import BaseModel, Field, BaseSettings, SecretStr, validator
from typing import List, Any, Dict, Union, Optional, Tuple, Type
from types import ModuleType
from jinja2 import meta, Template
from fast... |
import random
from dataclasses import dataclass
from functools import reduce
from math import ceil, floor
from typing import Dict, List, Optional, Iterable, Union
from uuid import uuid4
import numpy as np
from lhotse.audio import RecordingSet
from lhotse.features import Features, FeatureSet, FbankMixer
from lhotse.su... |
from pathlib import Path, PureWindowsPath
import itertools
import pandas as pd
import numpy as np
np.random.seed(5555) # for reproducibility
from random import sample
import matplotlib.pyplot as plt
from numpy import mean
from numpy import std
from numpy import array
from numpy import argmax
from scipy.spars... |
import asyncio
import logging
import json
import os
import time
from concurrent.futures import CancelledError
from pprint import pformat
from urllib.parse import quote_plus as quote
import aiohttp
from aiohttp import hdrs
from pyclda import get_mac_ver, async_MD5
from pyclda.aio_downloader import AioDownloader, Statu... |
# SPADE
# Copyright (c) 2021-present NAVER Corp.
# Apache License v2.0
from copy import deepcopy
import numpy as np
import torch
import spade.utils.general_utils as gu
from spade.postprocess.eval import (get_init_stats_receipt,
get_statistics_receipt, summary_receipt)
get_statist... |
from random import randrange
from typing import Tuple, List, Dict, Any
from itertools import zip_longest
from math import ceil
import logging
from typing import Optional, TYPE_CHECKING
import unit
from powers import psychic_test
from stratgey import Strategy, get_strategy_function
if TYPE_CHECKING:
from unit impo... |
#Copyright Sorensenc 2020 - resume.conneris.me
import sys
import matplotlib.pyplot as plt
import math
from collections import Counter
import statistics
'''
In the section below, edit the Observations (Obs) list to reflect your team's velocity observations.
Sometimes, things go awry and result in an observat... |
#!/usr/bin/env python
# _*_ coding: utf-8 _*_
# @Time : 2019/11/23 11:25
# @Author : Lujia (Lucia) Huang
# @Contact : <EMAIL>
# @File : FF3.py
# @Version :
# @Description: 对沪深两市房地产板块股票的FF3实证研究，
# 年份: 'year_2016''year_2017''year_2018'
# 对股票进行两种分组法：
# 1）'name_4_gro... |
#!/usr/bin/python3
import bisect
import configparser
import argparse
import importlib
import itertools
import statistics
import sys
import time
import random
import re
import unittest
# TODO: design couple of levels
# TODO: measure different algorithms
# TODO: write README.md
# TODO: write blogpost
GO_UP = 'up'
GO... |
#!/usr/bin/python3
# coding=utf8
import sys
sys.path.append('/home/pi/ArmPi/')
import cv2
import time
import Camera
import threading
from LABConfig import *
from ArmIK.Transform import *
from ArmIK.ArmMoveIK import *
import HiwonderSDK.Board as Board
from CameraCalibration.CalibrationConfig import *
if sys.version_inf... |
import numpy as np
import pygame
import sys,copy,random
import math
from random import shuffle
from copy import deepcopy
#gloable variable
GREEN = (0,255,0)
WHITE = (255, 255, 250)
RED = (255,0,0)
BLUE = (0,0,255)
SQUARE = 80
HEIGHT = 6
WIDTH = 7
width = WIDTH * SQUARE
height = HEIGHT* SQUARE+SQUARE
size = (width, hei... |
import matplotlib.pyplot as plt
from typing import List
from environments.environment_abc import Environment, State, Action
from agents.agent_abc import Agent
from agents.basic_mcts_agent import BasicMCTSAgent, MultiprocessingMCTSAgent
from agents.alphagozero_esque_agent import AlphaGoZeroEsqueAgent, A0TinyAgent
from a... |
# Copyright 2012, <NAME>
# Code at http://inamidst.com/duxlot/
# Apache License 2.0
import sys
# Require 3.2.2 because of http://bugs.python.org/issue12576
if sys.version_info < (3, 2, 2):
print("Error: Requires python 3.2.2 or later")
sys.exit(1)
import argparse
import atexit
import os
import signal
import... |
#!/usr/bin/env python3
"""Test: Test classes for Fab."""
# <--------------------------------------- 100 characters ---------------------------------------> #
# Python library imports:
from dataclasses import dataclass, field
from typing import Any, cast, List, Tuple
from pathlib import Path as PathFile
# CadQuery li... |
#### ----- LIBRARIES ----- ####
import os
import sys
import time
import random
import shutil
import time
import smtplib
import ssl
import pandas as pd
from selenium import webdriver
from bs4 import BeautifulSoup
#### ----- FUNCTIONS DEFINITION ----- ####
## ----- Core scraping functions ----- ##
def get_profile_info... |
import numpy as np
import torch
import threading
import json
import shutil
import os
from continual_rl.policies.impala.torchbeast.monobeast import Monobeast, Buffers
from continual_rl.utils.utils import Utils
class EWCTaskInfo(object):
def __init__(self, model_flags, buffer_specs, entries_per_buffer, task_name):
... |
from django.shortcuts import render, redirect
from django.http import HttpResponse, JsonResponse, Http404
from django.contrib.auth.models import User
from django.contrib.auth import login, logout
import uuid
import json
import os
import datetime
from oauth2client.client import (
HttpAccessTokenRefreshError,
)
fr... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import shutil
import subprocess
import argparse
import numpy as np
norm = np.linalg.norm
inv = np.linalg.inv
# read and write files
def read_poscar(poscar='POSCAR', format='vasp5'):
"""read POSCAR"""
with open(poscar, 'r') as reader:
lines = r... |
# Source:
# https://peterroelants.github.io/posts/rnn-implementation-part01/
import matplotlib
matplotlib.use('TkAgg')
import sys
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.colors import LogNorm
import seaborn as sns
sns.set_style('darkgrid')
np.random.seed(seed=1)
... |
import math
import numpy as np
def mulpq(p,q):#（四元数乘法）对的 没有问题
s1 = p[0]
v1 = p[1:4] ###索引，多个元素，左闭右开
s2 = q[0]
v2 = q[1:4]
a = s1 * s2 - np.dot(v1, v2)
b = s1 * v2 + s2 * v1 + np.cross(v1, v2)
return np.hstack([a,b])
def muldualpq(p,q):##对偶四元数乘法
p1 = p[0:4]
p2 =... |
from data_multiview import Data, PadBatch
import pickle
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
import torch.optim as optim
import numpy as np
from sklearn.metrics import confusion_matrix
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_s... |
"""
Functionality:
Resample time series data with linear interplation method based on
a). a fixed sampling rate, or
b). a given list of sampling positions
When resampling based on a given list of sampling positions,
you can merge two sensors' time series data together at common sampli... |
#TODO: This should be replaced with Tenjin templates similar to how Social Networks are handled
'''
List of emails shown in the infobox.
'''
from __future__ import with_statement
import sys, wx
import traceback
from wx import Rect, RectS, BLACK
from datetime import datetime
from gui import skin
from gui.textutil imp... |
# -*- coding:UTF-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import argparse
import numpy as np
import PIL.Image as Image
import tensorflow as tf
import retrain as retrain
from count_ops import load_graph
import average as p... |
import numpy as np
import tensorflow as tf
from gym import spaces
import argparse
import sys
import datetime
import dateutil
import dateutil.tz
import uuid
import ast
import yaml
import yaml.constructor
import os
import json
import pprint
import h5py
from collections import OrderedDict
from collections import namedtu... |
import curses
import io
import math
import time
import urllib.request as urllib
from PIL import Image
class Window(object):
def __init__(self, stdScreen, height, width, beginY, beginX):
""" A curses window
Args:
stdScreen (obj) = The main curses object for the program
... |
import os, re
import argparse
from tqdm import tqdm
import torch.distributed as dist
import torch.multiprocessing as mp
from torch.nn.parallel import DistributedDataParallel
import torch
from torch.utils.data import Dataset
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler
from fastprogress.f... |
"""Tests for methods for working with dynamical systems."""
import copy
import dataclasses
import numpy as np
import pytest
import statsmodels
import whynot as wn
from whynot import parameter
def test_baseconfig():
"""Test the basic configuration object."""
@dataclasses.dataclass
class Config(wn.dynami... |
import copy
from django.contrib.contenttypes.models import ContentType
from django.utils.translation import ugettext as _
from rest_framework import serializers
from structlog import get_logger
from good_spot.filter import models as filter_models
from good_spot.filter import serializers as filter_serializers
from good... |
import os
import torch
import numpy as np
from graph.graph_utils import _sample_layer_wise, _sample_int_layer_wise, batch_bin_encode
__PATH__ = os.path.abspath(os.path.dirname(__file__))
class Batch_SubtaskGraph(object):
def __init__(self, args):
#1. init graph param
self.game_config = a... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import os.path
__all__ = ['Parser', 'IncrementalParser', 'DispatchParser']
import xml.dom as xd
import xml.dom.minidom as xdm
import xml.sax as xs
import xml.sax.handler as xsh
import xml.sax.saxutils as xss
from xml.sax.saxutils import quoteattr, escape, unesc... |
"""
Functions used for handling and comparing multiple geometries
"""
import itertools
import functools
import numpy
from phydat import ptab
from phydat import bnd
from automol.zmat._zmat import value_dictionary
from automol.zmat._new import is_atom_closest_to_bond_atom
import automol.convert.geom
from automol impor... |
from keras.models import Sequential, Model
from keras.layers import Flatten, Dense, Lambda, Dropout, Cropping2D, Input, BatchNormalization, GlobalAveragePooling2D, Concatenate, Activation
from keras.layers.convolutional import Conv2D
from keras.layers.pooling import MaxPooling2D
from keras.models import load_model
from... |
#!/usr/bin/env python3
from __future__ import print_function
import sys
import os
from array import array
import cv2
import numpy as np
import time
import openncc as ncc
import struct
import math
min_score = 0.8
media_head = 'iII13I'
def coordinate_is_valid(x1, y1, x2, y2):
if ((x1 < 0) or (x1 >... |
import json
import os
from dataclasses import dataclass
from uuid import uuid4
import shutil
import zipfile
from django.conf import settings
from pdp2 import pdp2
from .models import FieldDataTypeChoices, Field, Data, DatasetWatchTypeChoices
from core.blockchain.projectpai.paicoin import paicoin_cli
class YggUrls:... |
from warnings import warn
import jax.numpy as np
from jax import grad
from jax_optimise.list_util import list_dot, list_add_prefactor, list_conj
"""
CONVENTIONS:
g_k = grad(f)(z_k) = (∂f/∂z*)(z_k)
p_k : search direction
f_k = f(z_k)
alpha : step length -> z_{k+1} = z_k + alpha * p_k
function on the line: phi(alpha) ... |
# -*- coding: utf-8 -*-
"""
ReEDS Command Line Interface
"""
import click
import logging
import os
from rex.utilities.loggers import init_mult
from rex.utilities.cli_dtypes import STR, STRLIST, INT
from rex.utilities.hpc import SLURM
from rex.utilities.utilities import dict_str_load, get_class_properties
from reVX.co... |
import ptypes
from ptypes import pstruct,parray,ptype,pbinary,pstr,dyn
from .headers import IMAGE_DATA_DIRECTORY
from ..headers import *
class IMAGE_LOAD_CONFIG_CODE_INTEGRITY(pstruct.type):
_fields_ = [
(WORD, 'Flags'),
(WORD, 'Catalog'),
(DWORD, 'CatalogOffset'),
(DWORD, 'Reserved... |
# Copyright (C) 2021 <NAME>, ETH Zürich, Information Security Group
# Released under the MIT License
"""
Train a Catboost model.
Supported data input formats are "sparse" and "LibSVM", identified by file extension.
The recommended input format is pickled sparse matrix, as this is the quickest way to load data.
LibSVM ... |
# -*- coding: utf-8 -*-
# Copyright (c) 2017 - for information on the respective copyright owner
# see the NOTICE file and/or the repository https://github.com/boschresearch/statestream
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.... |
# -*- coding: utf-8 -*-
from aiida.engine import calcfunction
bohr_to_ang = 0.52917720859
timeau_to_sec = 2.418884254E-17
from aiida import orm
from aiida.engine import calcfunction
from aiida_flipper.utils.utils import get_or_create_input_node
import numpy as np
SINGULAR_TRAJ_KEYS = ('symbols', 'atomic_species_name... |
#!/usr/bin/env python
import rospy
from nav_msgs.msg import Odometry
# to inherit te Thread class and time for delay
import threading
import time
## To read input (no blocking)
import sys
import select
from plutodrone.srv import *
from plutoserver.msg import floatar #custom msg type defined to get the roll ,pitch... |
# -*- coding: utf-8 -*-
# Copyright (C) 2014-2017 <NAME> <<EMAIL>>
# Copyright (C) 2014-2017 <NAME> <<EMAIL>>
# Copyright (C) 2014-2017 <NAME> <<EMAIL>>
# Copyright (C) 2014-2017 <NAME> <<EMAIL>>
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public... |
import copy
import os
import json
import shutil
import numpy as np
import pandas as pd
import skimage.io as io
from scipy.ndimage import gaussian_filter
from ark.utils.load_utils import load_imgs_from_tree, load_imgs_from_dir
from ark.utils.io_utils import list_folders, validate_paths, list_files
from ark.utils.misc... |
# Copyright (c) 2020: <NAME> (<EMAIL>).
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import gin
import numpy as np
impo... |
from ophyd.status import SubscriptionStatus
from ophyd import utils as ophyd_utils
from xas import xray
print(__file__)
class Mirror(Device):
pitch = Cpt(EpicsMotor, '-Ax:P}Mtr')
roll = Cpt(EpicsMotor, '-Ax:R}Mtr')
xd = Cpt(EpicsMotor, '-Ax:XD}Mtr') # downstream
xu = Cpt(EpicsMotor, '-Ax:XU}Mtr') ... |
#!/usr/bin/env python
############################################################################
# Copyright (c) 2015-2019 Saint Petersburg State University
# Copyright (c) 2011-2014 Saint Petersburg Academic University
# All Rights Reserved
# See file LICENSE for details.
###########################################... |
from django.db import models
from django.core.exceptions import ValidationError
from django.conf import settings
from datetime import datetime
from core.encryption.encryptionFields import EncryptCharField, EncryptDateField
import random
import string
import hashlib
import json
__all__ = ('Subject', 'ExternalSystem', '... |
import numpy as np
import pandas as pd
from .fast import gen_column_filter
def fillna_column(values, index, reverse=False, fillvalue=None):
"""
Fills the non available value sequentially with the previous
available position.
"""
# Create the new values array
new_index = np.ones(index.shape, dt... |
"""
Utils for scraping Instagram
"""
from __future__ import print_function as print3
import requests
import json
import numpy as np
from PIL import Image
from io import BytesIO
import time
import os
import sys, select
import datetime
from bs4 import BeautifulSoup as bs
res = 300
def saveJson(struct,file):
... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import gc
import os.path as osp
import warnings
from collections import deque, namedtuple
from typing import Any, Dict... |
# -*- coding: utf-8 -*-
# Copyright 2017-2019 ControlScan, Inc.
#
# This file is part of Cyphon Engine.
#
# Cyphon Engine 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 3 of the License.
#
# Cyphon En... |
#!/usr/bin/env python
# -*- coding=utf-8 -*-
import os
import csv
import sys, traceback
import xml.etree.ElementTree as ET
from datetime import datetime
def get_optional(v):
'''Get attribute text if the object is not None
'''
if v is not None:
return v.text
else:
return None
def proc... |
from __future__ import print_function
import os
import json
import time
import math
from compas.datastructures import Mesh
from compas.robots import RobotModel
import compas_fab
from compas_fab.backends import RosClient
from compas_fab.backends.ros import JointState
from compas_fab.backends.ros import Header
from com... |
# -*- 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 o... |
"""
Distance Matrix
"""
import os
import math
import time
import numpy as np
import requests
import googlemaps
import utm
from haversine import haversine
MAX_DISTANCE_MATRIX_SIZE = 100
def pairwise_distances(X, Y=None):
"""Pairwise euclidean distance calculation
"""
if Y is None:
Y = X
re... |
import itertools
from copy import copy
from enum import Enum
from typing import List, Dict, Optional, cast, TypeVar
from sqlalchemy.engine import Dialect
from bach import SeriesAbstractMultiLevel
from bach.series import Series
from bach.expression import Expression, WindowFunctionExpression
from bach.dataframe import... |
import re
import os
import shutil
import inspect
import subprocess
from pathlib import Path
from miscutils.insp import isaccess
import peepshow
import peepshow.core.dialect as dialect
import peepshow.core.trans as trans
from peepshow.cmds.base import CommandsBase, command
from peepshow.core import goto, probes
from pee... |
#! /usr/bin/env python3
# ------------------------------------------------------------------------
# CustomClean GUI
#
# GUI that helps user create a JSON showing a pattern of unwanted files/folders/links
# that can be later applied to many directories using the main CustomClean script.
#
# <NAME>, January 2017
impor... |
import json
import os
import pickle
import sys
import tempfile
import uuid
from datetime import timedelta
from time import gmtime, strftime
from typing import Tuple
from zipfile import ZipFile
import requests
from dagster import (
Any,
AssetMaterialization,
DagsterType,
EventMetadataEntry,
Field,
... |
"""Weight initializer."""
from __future__ import absolute_import, print_function
import re
import logging
import warnings
import json
from math import sqrt
import numpy as np
from .base import string_types
from .ndarray import NDArray, load
from . import random
from . import registry
from . import ndarray
# inherit s... |
from tkinter import*
import tkinter.messagebox
import time
import random
operator = ""
#### creating window and its geometry ######
root = Tk()
root.geometry("1600x800+0+0")
root.title("Restaurant Bill Calculator")
#### creating Frame ######
top = Frame(root, width = 1600, height = 50, relief = SUNKEN)
top.pack(si... |
import json
from pyramid.renderers import render, Response
from src.sgd.frontend import config
from pyramid.view import notfound_view_config
from src.sgd.frontend.yeastgenome import send_message
from src.sgd.tools.blast import do_blast
from src.sgd.tools.patmatch import do_patmatch
from src.sgd.tools.seqtools import do... |
"""
Various utilities for recording and embedding state in a rendered app.
"""
import asyncio
import datetime as dt
import inspect
import json
import logging
import sys
import threading
import time
from collections.abc import Iterator
from collections import OrderedDict, defaultdict
from contextlib import contextmanag... |
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... |
# -*- coding: utf-8 -*-
__license__ = \
"""Copyright 2019 West University of Timisoara
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.... |
# Copyright (c) 2020 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
#
# Copyright (C) 2016 UAVCAN Development Team <uavcan.org>
#
# This software is distributed under the terms of the MIT License.
#
# Author: <NAME> <<EMAIL>>
#
import datetime
import time
import os
from functools import partial
import pyuavcan_v0
from pyuavcan_v0.driver import CANFrame
from PyQt5.QtWidgets import QM... |
"""
Parametrization support for test cases.
"""
import collections
import itertools
import re
import warnings
import six
from testplan.common.utils.convert import make_tuple
from testplan.common.utils import callable as callable_utils
from testplan.testing import tagging
# Although any string will be processed as no... |
import argparse
import logging
import os
import re
import subprocess
import sys
from collections import OrderedDict
try:
from ..manifest import manifest
from ..manifest.utils import git as get_git_cmd
except ValueError:
# if we're not within the tools package, the above is an import from above
# the t... |
"""Files module."""
####################################################################################################
# IMPORTS ################################################################################ IMPORTS #
#################################################################################################... |
# Part of Spatial Math Toolbox for Python
# Copyright (c) 2000 <NAME>
# MIT Licence, see details in top-level file: LICENCE
"""
Utility functions for testing and converting passed arguments. Used in all
spatialmath functions and classes to provides for flexibility in argument types
that can be passed.
"""
# pylint... |
"""
Measure influence values vs. confidence/variance and/or error.
"""
import os
import sys
import time
import tqdm
import hashlib
import argparse
import resource
from datetime import datetime
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.base import clone
from sklearn.metrics i... |
from functools import reduce
import operator
import warnings
from haystack import connection_router, connections
from haystack.backends import SQ
from haystack.constants import DEFAULT_OPERATOR, ITERATOR_LOAD_PER_QUERY
from haystack.exceptions import NotHandled
from haystack.inputs import AutoQuery, Raw
from haystack.... |
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
#import pyodbc
import pickle
import time
import itertools
from joblib import Parallel, delayed
from random import randint
import matplotlib
matplotlib.rcParams.update({'font.size': 17.5})
import math
import matplotlib.pyplot as plt
#get_ipython().magic(... |
"""
Data preproc functions:
adjust_to_see: adjust image to better visualize (rotate and transpose)
augmentation: apply variations to a list of images
normalization: apply normalization and variations on images (if required)
preproc: main function to the preprocess.
Make the image:
il... |
"""make btrfs backups"""
# TODO: Parse SI units for --bwlimit (Current code assumes number is in KB)
# TODO: VT100 progress bar
# TODO: Remove duplicate code
import argparse
import collections
import logging
import os
import os.path
import re
import string
import subprocess
import sys
import tempfile
import time
import... |
import logging
from typing import List, Any
import numpy as np
import pandas as pd
import pyskindose.constants as c
from .db_connect import db_connect
from .phantom_class import Phantom
logger = logging.getLogger(__name__)
def calculate_field_size(field_size_mode, data_parsed, data_norm):
"""Calculate X-ray fie... |
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 28 15:34:18 2012
Author: <NAME>
"""
from statsmodels.compat.python import BytesIO, asbytes, range
import warnings
try:
import matplotlib.pyplot as plt
has_maplotlib = True
except ImportError:
has_maplotlib = False
import numpy as np
import pandas as pd
fro... |
r"""
losses 模块定义了 fastNLP 中所需的各种损失函数，一般做为 :class:`~fastNLP.Trainer` 的参数使用。
"""
__all__ = [
"LossBase",
"LossFunc",
"LossInForward",
"CrossEntropyLoss",
"BCELoss",
"BCEWithLogits",
"L1Loss",
"NLLLoss",
"MSELoss",
"CMRC2018Loss"
]
import inspect
from collections impor... |
from numpy.random import seed
# seed(333)
import tensorflow as tf
# tf.random.set_seed(333)
from tensorflow.keras import optimizers
opt = optimizers.Adadelta(lr=0.0001, rho=0.9, epsilon=1e-07, name="Adadelta")
#opt = optimizers.Adam(lr=0.00001, name="Adam")
#opt = optimizers.RMSprop(lr=0.00003, rho=0.9, epsilon=1... |
# coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
# -*- coding: UTF-8 -*-
from enemyBehavior import enemyControl
from coreBehavior import coreControl
from Box2D import b2World, b2PolygonShape
import pygame, sys, math, random
from pygame.locals import *
from picToMap import *
block_size = 10
gravity = 0
# set up pygame-box2d constants
bullet_size = int(block_size /... |
import copy
import math
import sys
from io import StringIO
from theano.configdefaults import config
from theano.gof import opt
from theano.misc.ordered_set import OrderedSet
from theano.utils import DefaultOrderedDict
class DB:
def __hash__(self):
if not hasattr(self, "_optimizer_idx"):
self.... |
# Copyright 2018 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... |
from __future__ import division, unicode_literals
import os
import hashlib
import logging
from collections import defaultdict
from .bencode import bencode, bdecode
from .humanize import humanize_bytes
from .utils import is_unsplitable, get_root_of_unsplitable, Pieces
logger = logging.getLogger('autotorrent')
class... |
#!/usr/bin/env python
#
# esp-idf serial output monitor tool. Does some helpful things:
# - Looks up hex addresses in ELF file with addr2line
# - Reset ESP32 via serial RTS line (Ctrl-T Ctrl-R)
# - Run "make flash" (Ctrl-T Ctrl-F)
# - Run "make app-flash" (Ctrl-T Ctrl-A)
# - If gdbstub output is detected, gdb is automa... |
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# MIT License. See license.txt
from __future__ import unicode_literals
"""build query for doclistview and return results"""
import frappe, json
from six.moves import range
import frappe.permissions
from frappe.model.db_query import DatabaseQuery
fro... |
from __future__ import print_function
import os
import sys
import time
import copy
import base64
import json
import string
import time
import random
import hashlib
import subprocess
import requests
from requests_toolbelt import MultipartEncoder
try: # python3
from urllib.parse import urlparse, urlencode, parse_qs... |
""" RetinaNet / EfficientDet Anchor Gen
Adapted for PyTorch from Tensorflow impl at
https://github.com/google/automl/blob/6f6694cec1a48cdb33d5d1551a2d5db8ad227798/efficientdet/anchors.py
Hacked together by <NAME>, original copyright below
"""
# Copyright 2020 Google Research. All Rights Reserved.
#
# Licensed und... |
from __future__ import division
from cctbx.array_family import flex
import math, sys
from mmtbx.utils import rotatable_bonds
import mmtbx.geometry_restraints.torsion_restraints.utils as torsion_utils
from scitbx.matrix import rotate_point_around_axis
import mmtbx.monomer_library.server
from mmtbx.validation import rota... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.