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"""Copy records from the first KGTK file to the output file,
exploding a column into several data type-specific columns.
"""
from argparse import ArgumentParser, Namespace
import attr
from pathlib import Path
import sys
import typing
from kgtk.kgtkformat import KgtkFormat
from kgtk.io.kgtkreader import KgtkReader, K... |
""" Categorizes the Interaction """
import numpy as np
from . import kalman
from . import metrics
#######################################
## Helper Functions for interactions ##
#######################################
def compute_velocity_interaction(path, neigh_path, obs_len=9, stride=3):
## Computes the angle... |
import imgaug as ia
import imgaug.augmenters as iaa
import torch
import os
import time
import glob
import numpy as np
import matplotlib.pyplot as plt
import cv2
import matplotlib
from PIL import Image
from progressbar import ProgressBar
is_HAL = len(glob.glob('/home/shared/imagenet/raw/val_nodir/'))
if not is_HAL:
... |
import os
from enum import Enum
from pathlib import Path
from os.path import join, exists
import argparse
import pathlib
import click
import numpy as np
import pandas as pd
import download_data
import dataframe
import plotter
from matplotlib import pyplot as plt
import seaborn as sns
import dataframe
import plotter... |
# -*- coding: UTF-8 -*-
__author__ = 'isparks'
import requests
import datetime
import hmac
import hashlib
import base64
from six.moves.urllib.parse import urlencode
SECONDS_IN_24_HOURS = 24 * 60 * 60
def isodatetime(dt):
"""Takes a date, returns ISO8601 date/time format"""
return dt.strftime('%Y-%m-%dT%H:%M:... |
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import time
total_FLOPs = 0
i=0
def prune(a, index):
# a (1,4,2,2)
# b (4)
return a[:,np.nonzero(index).squeeze(1),:,:]
def prune_n(a, len):
return a[:,:len, :,:]
def default_conv(in_channels, out_chan... |
# Copyright (c) Lawrence Livermore National Security, LLC and other VisIt
# Project developers. See the top-level LICENSE file for dates and other
# details. No copyright assignment is required to contribute to VisIt.
"""
file: filter_graph.py
author: <NAME> <<EMAIL>>
created: 10/14/2010
description:
Core fi... |
import pytest
from conftest import get_fpga, get_routing_ctx
from ops import Pop, Push
from program import CHANNELS_PER_FPGA, FPGA, Program
from routing_table import NoRouteFound, ckr_routing_table, \
cks_routing_tables
def check_fpga_tables(fpga, tables, expected):
assert len(tables) == len(expected)
as... |
#!/usr/bin/env python
#
# base.py - The Action and ToggleAction classes.
#
# Author: <NAME> <<EMAIL>>
#
"""This module provides the :class:`Action`, :class:`NeedOverlayAction`, and
:class:`ToggleAction` classes. See the :mod:`.actions` package documentation
for more details.
"""
import logging
import fsl.data.image... |
# pylint: disable=not-callable, no-member, arguments-differ, missing-docstring, invalid-name, line-too-long
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data
from scipy.ndimage import zoom
from cath.util import lr_schedulers
from se3cnn.image.filter import lo... |
import time
import numpy as np
import yaml
import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, accuracy_score, cohen_kappa_score
def plot_full_barchart(test_score, n_pilots, title="Test accuracy - BCIC IV 2a", fig=None, ax_idx=0):
if fig:
ax = fig.get_axes()[ax_idx]
else:
... |
#!/usr/bin/python
#-*- coding:utf8 -*-
"""
本程序用来获取音乐台网站的NV排行榜的数据
音悦台：http://www.yinyuetai.com
参考书籍
《用Python写网络爬虫》
《Python网络爬虫实战》
"""
import requests
import sys
import os
import re
import random
import time
from bs4 import BeautifulSoup
reload(sys)
sys.setdefaultencoding('utf8')
"""
Item 代表一个MV榜单
"""
class Item(obj... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
File: gcexport.py
Original author: <NAME> (https://github.com/kjkjava/)
Date: April 28, 2015
Fork author: <NAME> (https://github.com/moderation/)
Date: August 25, 2018
Updates: <NAME>
Date: May 12, 2019
Description: Use this script to export your fitness data from Garm... |
from math import sqrt, floor
import sys
import platform
def prob_1(n):
return n % 2 == 0
def prob_2(n):
return (n-32)*(5/9)
def prob_3(n, b):
if b == 0:
return 1
return n * prob_3(n, b-1)
def prob_4(c, l: int):
size = len(c)
final = ""
if size == l:
return c
elif... |
#!/usr/bin/python
"""
tempMP.py --- An example for using the multiPoint analysis module
"""
# =============================================================================
# Standard Python modules
# =============================================================================
import sys, os, time
# =================... |
import sys,os
import glob,time
from nlptk.postagging.taggers import get_tagger
from nlptk.junk.preprocess import Preprocessor
from nlptk.junk.vocabulary import (Stream,
BaseCorpus,
PlainCorpus,
Te... |
"""
Implementation of KNX 2 byte Float-values.
They correspond to the the following KDN DPT 9 class.
"""
from __future__ import annotations
from xknx.exceptions import ConversionError
from .dpt import DPTNumeric
class DPT2ByteFloat(DPTNumeric):
"""
Abstraction for KNX 2 Octet Floating Point Numbers.
D... |
import os
from collections import OrderedDict
from pyglet.gl import *
from pygly.shader import Shader, ShaderProgram
import pymesh.obj
from razorback.mesh import Mesh
class Data( object ):
shader_source = {
'vert': open(os.path.dirname(__file__) + '/obj.vert','r').read(),
'frag': open(os.path.... |
# Copyright 2015, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the f... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
from six import text_type
import logging
from collections import namedtuple
import kazoo
from netaddr import IPNetwork, IPAddress, AddrFormatError
from contrail_api_cli.exceptions import CommandError, ResourceNotFound
from contrail_api_cl... |
import numpy as np
from numpy.linalg import multi_dot
from scipy import stats
from scipy.linalg import inv
from joblib import Parallel, delayed
from sklearn.utils.validation import check_memory
from sklearn.linear_model import Lasso
from .noise_std import reid, group_reid
from .stat_tools import pval_from_two_sided_pv... |
import contextlib
import boto3
import botocore.exceptions
from botocore.config import Config
from flask import current_app
boto3_config = Config(
retries={
"max_attempts": 5,
"mode": "standard",
}
)
def get_client_kwargs(app=current_app):
return {
"endpoint_url": app.config.get("... |
# coding: utf-8
"""Wrappers for forwarding stdout/stderr over zmq"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import print_function
import atexit
from binascii import b2a_hex
from collections import deque
try:
from importlib import lock_h... |
"""
This module contains utilities for converting 2D arrays of longitude and
latitude of mean GLM CCD pixel positions into a lookup table which, given
arbitrary event latitude and longitude, may be used to quickly find the pixel
ID of that event.
This supports two crucial needs:
- Determining the pixel adjacency inf... |
from .. import utils
from .scatter import _ScatterParams
from .tools import generate_colorbar
from .tools import generate_legend
from .tools import label_axis
from .utils import _get_figure
from .utils import _with_default
from .utils import parse_fontsize
from .utils import show
from .utils import temp_fontsize
impor... |
# -----------------------------------
# Name : dbscan.py
# Author : E.Taskesen
# Contact : <EMAIL>
# Licence : MIT
# Respect the autor and leave this here
# -----------------------------------------------
from tqdm import tqdm
import numpy as np
import matplotlib.pyplot as plt
import sklearn.cluste... |
import os
from cs50 import SQL
from flask import Flask, flash, redirect, render_template, request, session
from flask_session import Session
from tempfile import mkdtemp
from werkzeug.exceptions import default_exceptions, HTTPException, InternalServerError
from werkzeug.security import check_password_hash, generate_pa... |
from flask import Blueprint, flash, redirect, render_template, request, url_for, session, jsonify, current_app
from flask_login import current_user, login_required, login_user, logout_user
from werkzeug.utils import secure_filename
from functools import wraps
import os
import config
from wiki.web.forms import EditorFo... |
# Copyright 2019 UniversalQCompiler (https://github.com/Q-Compiler/UniversalQCompiler)
# 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
# Unles... |
#===============================================================================
#--- SETUP Config
#===============================================================================
from config.config import *
#import unittest
#===============================================================================
#--- SETUP Lo... |
# The tester module.
import time
try:
from collections import UserDict
except ImportError:
from UserDict import UserDict
try:
import queue
except ImportError:
import Queue as queue
import can
from .errors import Error
class DecodedMessage(object):
"""A decoded message.
"""
def __ini... |
"""
summary: show decompiler xrefs
description:
Show decompiler-style Xref when the `Ctrl+X` key is
pressed in the Decompiler window.
* supports any global name: functions, strings, integers, ...
* supports structure member.
author: EiNSTeiN_ <<EMAIL>>
"""
from __future__ import print_function
import ida_ke... |
import time
from datetime import datetime
import json
import sys
import os
from argparse import ArgumentParser
import signal
import logging
from kafka import KafkaProducer, KafkaConsumer
from kafka.errors import CommitFailedError
from digsandpaper.elasticsearch_indexing.index_knowledge_graph import index_knowledge_gra... |
"""Plot pairs."""
from __future__ import annotations
# Standard library
import filecmp
import os
import re
import sys
import traceback
from pathlib import Path
from subprocess import PIPE
from subprocess import Popen
from typing import Iterator
from typing import Optional
from typing import Sequence
from typing import... |
import logging
from typing import Any, Dict, Optional
import stripe
from django.conf import settings
from django.http import HttpRequest, HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from django.urls import reverse
from django.utils.timezone import now as timezone_now
from django.utils.transl... |
#!/usr/bin/env python3
import argparse
import os
from pathlib import Path
import pandas as pd
import artistools as at
import matplotlib.pyplot as plt
from astropy import units as u
import matplotlib
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import gc
def make_cone(args):
print("Making cone")
... |
from __future__ import division
import cPickle
try :
import gobject
except ImportError :
gobject = None
import sys
class coot_extension_gui (object) :
def __init__ (self, title) :
import gtk
self.window = gtk.Window(gtk.WINDOW_TOPLEVEL)
scrolled_win = gtk.ScrolledWindow()
self.outside_vbox = gtk... |
from datetime import datetime
from operator import itemgetter
from sqlalchemy import (
and_, false, func, select, distinct as sqldistinct, inspect)
from sqlalchemy.ext.declarative import declarative_base, declared_attr
from sqlalchemy.ext.declarative.base import _declarative_constructor
from sqlalchemy import (
... |
import argparse
import re
from datetime import timedelta
from operator import itemgetter
from mtools.mplotqueries.plottypes.base_type import BasePlotType
try:
import matplotlib.pyplot as plt
from matplotlib import __version__ as mpl_version
from matplotlib.dates import date2num
from matplotlib.patche... |
"""Support for P2000 sensors."""
import datetime
import logging
import feedparser
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
ATTR_ATTRIBUTION,
ATTR_LATITUDE,
ATTR_LONGITUDE,
CONF_LATITUDE,
CONF_LONGITUDE,
CONF_NAME,
... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from config import cfg
import pdb
class ConvMD(nn.Module):
def __init__(self, M, cin, cout, k, s, p, bn = True, activation = True):
super(ConvMD, self).__init__()
self.M = M # Dimension of input
self.cin = cin
... |
# Copyright (C) 2018 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Test audit RBAC."""
import copy
from os.path import abspath
from os.path import dirname
from os.path import join
from collections import defaultdict
from appengine import base
from ggrc import app # no... |
# -*- coding: utf-8 -*-
"""Session related attribute container definitions."""
import collections
import time
import uuid
import plaso
from plaso.containers import interface
from plaso.containers import manager
class Session(interface.AttributeContainer):
"""Session attribute container.
Attributes:
aborted... |
# Copyright (c) 2020, <NAME>
# License: MIT License
import pytest
from ezdxf.tools import pattern
def test_load_iso_pattern():
p = pattern.load()
assert p['ANSI31'][0] == [45.0, (0.0, 0.0), (-2.2450640303, 2.2450640303),
[]]
def test_load_scaled_iso_pattern():
p = pattern.... |
import io
import os
import random
from typing import List, Optional, Text, Tuple
import numpy as np
import pytorch_lightning as pl
import torch
from torch.nn.utils.rnn import pad_sequence
from torch.utils.data import DataLoader, Dataset, random_split
from varclr.data.preprocessor import Preprocessor
from varclr.data.... |
#!/usr/bin/python3
#
# Copyright (C) 2020 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... |
""" Test floating point deconstructions and floor methods
"""
import sys
PY2 = sys.version_info[0] < 3
from distutils.version import LooseVersion
import numpy as np
from ..casting import (floor_exact, ceil_exact, as_int, FloatingError,
int_to_float, floor_log2, type_info, _check_nmant,
... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Module Description:
Example:
Todo:
*Bot para avisar quando der 8 horas
*Bot para avisar quando deu horário do almoço
*Bot para avisar caso não tenha uma hora de intervalo durante o dia
"""
__author__ = "<NAME>"
__email__ = "<EMAIL>"
from selenium import... |
"""Modified JSON API v1.0 for OPTIMADE API"""
# pylint: disable=no-self-argument,no-name-in-module
from enum import Enum
from typing import Optional, Union, List, Dict, Type, Any
from datetime import datetime
from pydantic import root_validator, BaseModel, AnyHttpUrl, AnyUrl, EmailStr
from optimade.models import jso... |
# 19-07-17: include all "unique" models at each candidate selection step, as defined by having at most one common parameter with other unique models
# fixed a bug in the collinearity criteria
import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn import metrics... |
# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
# 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 applica... |
import pytest
import random
import string
from common import client, node_default_tags, volume_name # NOQA
from common import check_volume_replicas, cleanup_volume, \
generate_volume_name, get_self_host_id, get_update_disks, set_node_tags, \
wait_for_volume_delete, wait_for_volume_detached, \
wait_for_volu... |
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "7"
import torch
import numpy as np
from scipy.spatial.distance import pdist, squareform
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def GetIndicator(data, latent):
if torch.is_tensor(data):
data = data.detach().cpu().numpy()
... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import logging
import torch
from torch.nn import functional as F
from maskrcnn_benchmark.modeling.matcher import Matcher
from maskrcnn_benchmark.structures.boxlist_ops import boxlist_iou
from maskrcnn_benchmark.modeling.utils import cat
from maskr... |
"""
This module contains the CONFIG_SCHEMA for validation with voluptuous.
"""
import typing as T
import datetime
import traceback
import voluptuous as vol
from . import actor, schedule, util
from .room import Room
def build_schedule_rule(rule: dict) -> schedule.Rule:
"""Builds and returns a schedule rule fro... |
"""
Python module to control a robot with the ros_control package.
To get control over a robot via ros_control actions, an ActionClient
is necessary, which communicates with with the ActionServer of the
corresponding controller.
Note:
This module is explicitly intended for use with Gazebo and not
with a real ... |
# BSD 3-Clause License
# Copyright (c) 2019, regain authors
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, this
# lis... |
import numpy as np
from Orange import data
def _get_variable(variable, dat, attr_name, expected_type=None, expected_name=""):
failed = False
if isinstance(variable, data.Variable):
datvar = getattr(dat, "variable", None)
if datvar is not None and datvar is not variable:
raise Valu... |
import copy
import numpy as np
from .problem import LpProblem
from .solve import LpSolve
from .solver import LpSolver
# TODO: Refactor: Abstract From SimplexVectorized and SimplexMethod, 面向切片完成单纯形表。
# TODO: Implement a faster inv() for base_inv
class SimplexVectorized(LpSolver):
""" 矩阵化的单纯形法
待解决应符合标准型，即：... |
from riotwatcher import LolWatcher, ApiError
import sys
def item_stat_print(user_input):
item_list = static_item_list.get('data')
items_id = ['1001', '1004', '1006', '1011', '1018', '1026', '1027', '1028', '1029', '1031', '1033', '1035',
'1036', '1037', '1038', '1039', '1042', '1043', '1052', '1... |
# Copyright 2015, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the f... |
'''
Python mtdev
============
The mtdev module provides Python bindings to the `Kernel multi-touch
transformation library <https://launchpad.net/mtdev>`_, also known as mtdev
(MIT license).
The mtdev library transforms all variants of kernel MT events to the
slotted type B protocol. The events put into mtdev may be f... |
import os
import os.path as osp
import pandas as pd
import numpy as np
import pickle
from utils.utils.ply import read_ply, write_ply
from utils import provider
from utils.point_cloud_util import load_labels
from open3d import open3d
class FileData:
def __init__(self, pcd_file_path, box_size_x, box_size_y, use_c... |
''' module for remote control for dji mavic pro
'''
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib import patches as mpl_patches
from matplotlib import lines as mpl_lines
from dji_mavic_io import read_flightdata_csv
rc_filename = 'dji_mavic_test_data_2.csv'
rc_max = 1684
rc... |
#! /usr/bin/env python
# coding=utf-8
# Copyright (c) 2019 Uber Technologies, 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
#
# Unles... |
import numpy as np
import math
def l2_regularization(W, reg_strength):
'''
Computes L2 regularization loss on weights and its gradient
Arguments:
W, np array - weights
reg_strength - float value
Returns:
loss, single value - l2 regularization loss
gradient, np.array same shape... |
# -*- coding: utf-8 -*-
from PIL import Image
import numpy as np
import os,glob,re
import random
from chainer.dataset import dataset_mixin
from chainercv.transforms import resize,random_flip,random_crop,rotate
from chainercv.utils import read_image,write_image
from skimage.transform import rescale
import PIL
try:
... |
"""
@author: Yauheni
"""
from __future__ import annotations
from typing import List
from src import tools
class Transaction:
def __init__(self, user: User, source_account: Account, dest_account: Account, amount: float) -> None:
self.__id = tools.generate_random_int()
self.__amount = amount
... |
# plots.py
import matplotlib
matplotlib.rcParams = matplotlib.rc_params_from_file('../../matplotlibrc')
#================================================
#Plots for the Value Function Iteration Lab
#================================================
import numpy as np
import math
from scipy import stats as st
import dis... |
"""
PLease set following environment variables for this script to work properly
export DAPP_INSTANCES=<some integer> default value=1
export WEB3J_ETHCLIENT_HOST=<ip address> default value=None
export WEB3J_ETHCLIENT_PROTOCOL=<> default value=http
export WEB3J_ETHCLIENT_PORT=<> default value=8545
export SHARE_C... |
# -*- coding: utf-8 -*-
#
# Caribou - text entry and UI navigation application
#
# Copyright (C) 2010 <NAME> <<EMAIL>>
#
# This program 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... |
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
import subprocess
def collect():
filter_keys = ['Manufacturer', 'Serial Number', 'Product Name', 'UUID', 'Wake-up Type']
raw_data = {}
for key in filter_keys:
try:
res = subprocess.Popen("sudo dmidecode -t system|grep '%s'" % key,
... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
bibgen.py
Generates a PDF of bibs that can be printed, based on the race
configuration files.
:copyright: (c) 2016 by <NAME>.
:license: BSD, see LICENSE for more details.
"""
import math
import cairo
import poppler
import lmcore
import datetime
import... |
from __future__ import print_function
import serial
import time
import struct
import array as arr
import stretch_body.cobbs_framing as cobbs_framing
import copy
import fcntl
import logging
"""
Loop protocol is:
RPC Data is sent over a COBBS encoding with CRC error detection.
The packet is:
Data can be up to X b... |
"""
Script that runs the axisymmetric, least-squares fit for MaNGA data.
"""
import os
import argparse
from IPython import embed
from matplotlib import pyplot
from ..data import manga
from ..models import axisym
# TODO: Setup a logger
# TODO: Need to test different modes.
# Tested so far:
# - Fit Gas or sta... |
import tensorflow as tf
from datetime import datetime
from data_reader import DataReader
from model import Model
from utils import read_vocab, count_parameters, load_glove
# Parameters
# ==================================================
FLAGS = tf.flags.FLAGS
tf.flags.DEFINE_string("checkpoint_dir", 'checkpoints',
... |
import random
import ray
from typing import List, Type
import gym
import hydra
import matplotlib.pyplot as plt
import numpy as np
from cmaes import CMA
from matplotlib import animation
from omegaconf.dictconfig import DictConfig
from scipy.sparse.csr import csr_matrix
from torch import optim
from tqdm import tqdm
cl... |
import os
from django.contrib.auth.models import User
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes import generic
from django.db import models
from django.db.models.signals import post_save
from django.dispatch import receiver
from jsonfield import JSONField
from model_u... |
# copyright 2003-2014 LOGILAB S.A. (Paris, FRANCE), all rights reserved.
# contact http://www.logilab.fr/ -- mailto:<EMAIL>
#
# This file is part of astroid.
#
# astroid 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
# Softw... |
import torch
import torch.nn as nn
from torch.nn import init
from torch.autograd import Variable
import numpy as np
import time
import random
from sklearn.metrics import f1_score
from collections import defaultdict
import torch.nn.functional as F
import new_sampling_function
# from graphsage.encoders import Encoder
#... |
import os
import tensorflow as tf
from keras.backend.tensorflow_backend import set_session
from keras import models
import numpy as np
import scipy.stats as stats
from mCNN.queueGPU import queueGPU
'''
@current_hyper_tag 140_4_32_32_32_64_0.5
@current optmized_loss 1.096142613
'''
def main():
config_tf()
train... |
# Copyright 2014 Intel Corporation
# 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 require... |
import django_filters
import json
from django.db.models import Q
from django.utils import six
from rest_framework import serializers, viewsets, permissions, filters, status
from rest_framework.decorators import action
from rest_framework.response import Response
from kitsune.products.api import TopicField
from kitsune... |
import OGL
from macros import *
from math import cos, sin, radians, degrees
from OpenGL.GL import *
from OpenGL.GLU import *
import pygame
import shoot
import config
from formula import *
class SmithAndWesson(OGL.Cube):
def __init__(self):
self.standby_pos = config.SmithAndWesson["Standby Pos"]#[.3,-.25,-1... |
r"""Compute action detection performance for the AVA dataset.
Please send any questions about this code to the Google Group ava-dataset-users:
https://groups.google.com/forum/#!forum/ava-dataset-users
Example usage:
python -O get_ava_performance.py \
-l ava/ava_action_list_v2.1_for_activitynet_2018.pbtxt.txt \
-g... |
"""Enables retreival of ferry departure information from Trafikverket API."""
import typing
from datetime import datetime
from enum import Enum
from typing import List
import aiohttp
from pytrafikverket.trafikverket import (
FieldFilter,
FieldSort,
FilterOperation,
NodeHelper,
SortOrder,
Trafi... |
# -*- encoding=utf8 -*-
import sys
sys.path.append('.')
import datetime as dt, time, re, calendar, sys
from utils import get_strdate_format
from wull import wull, iswull, WULL
from datetime import datetime
if sys.version_info.major >=3 and sys.version_info.minor>=8:
clocktime = time.perf_counter
process_time ... |
# from Instrucciones.instruccion import Instruccion
# from storageManager.jsonMode import *
# import Tabla_simbolos.TablaSimbolos as TS
from tytus.parser.fase2.team21.Analisis_Ascendente.Instrucciones.instruccion import Instruccion
from tytus.parser.fase2.team21.Analisis_Ascendente.storageManager.jsonMode import *
fr... |
from functools import cached_property
from pathlib import Path
import numpy as np
from ...log import logger
from . import ReaderBase
try:
import paraview.simple as pv
from paraview.simple import * # noqa: F401, F403
except ImportError:
logger.debug("Paraview Python module cannot be imported")
else:
... |
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 15 11:00:56 2021
@author: catal
"""
import requests
from requests.adapters import HTTPAdapter
# from browser import document, prompt, html, alert
# from browser.local_storage import storage
import json
def getPatternID(pattern_url):
"""asssumes pattern_url is a str... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# convert the modhmm xml file to text file, output probabilities as well
import sys,re,os
import os.path
import tempfile
from libpredweb import myfunc
#Note: 2010-08-26
# still use xslt to read xml files. it is more reliable
usage="""
Usage: compare_topos.py [Options] ... |
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import dash_bootstrap_components as dbc
import dash_html_components as html
from utils.data_utils import calc_percentage, calc_vertical_percentage
from constants import *
def dataset_infos(name, ntuples, nattributes):
return f'''
... |
import incremental_evaluation.utils as IE
import h5py
import numpy as np
import os
import time
TOTAL_ACCURACY = "total_accuracy"
LOCAL_ACCURACY = "local_accuracy"
SUBCLASS_ACCURACY = "subclass_accuracy"
class DataKeys(object):
"""
The structure of the HDF5 data file
"""
# file name
FILE_NAME = "d... |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# 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 ... |
import sqlite3
import logging
import numpy as np
import pandas as pd
from pgportfolio.marketdata.coin_list import CoinList
from pgportfolio.constants import *
from pgportfolio.utils.misc import parse_time, get_volume_forward, \
get_feature_list
from datetime import datetime
class CoinDataManager:
# if offline... |
"""
Copyright (C) 2020 <NAME>.
This Source Code Form is subject to the terms of the
Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed
with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
"""
import logging
import requests
import os
import sys
from tributors.utils.file import wr... |
"""
This is neat little utility that updates inventory on Bricklink.
"""
import json
import argparse
import sys
import logging
import os
from os import stat
from os.path import exists
from bricklink_api.auth import oauth
from bricklink_api.catalog_item import get_price_guide, get_item, get_item_image, Type, NewOrUsed
f... |
"""
Script to autogenerate pyplot wrappers.
When this script is run, the current contents of pyplot are
split into generatable and non-generatable content (via the magic header
:attr:`PYPLOT_MAGIC_HEADER`) and the generatable content is overwritten.
Hence, the non-generatable content should be edited in the pyplot.py ... |
#!/usr/bin/env python
from ansible.module_utils.hashivault import hashivault_argspec
from ansible.module_utils.hashivault import hashivault_auth_client
from ansible.module_utils.hashivault import hashivault_init
from ansible.module_utils.hashivault import hashiwrapper
import json
import requests
ANSIBLE_METADATA = {'s... |
# kc_ggn_nofeedback.py ---
#
# Filename: kc_ggn_nofeedback.py
# Description:
# Author: <NAME>
# Maintainer:
# Created: Fri Apr 27 11:53:11 2018 (-0400)
# Version:
# Package-Requires: ()
# Last-Updated: Tue Jun 11 09:47:43 2019 (-0400)
# By: <NAME>
# Update #: 531
# URL:
# Doc URL:
# Keywords:
# Compatibil... |
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