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#!/usr/bin/env python
# Copyright (C) 2014 <NAME> <<EMAIL>>
#
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
# Updated 2016 by <NAME> <<EMAIL>>
#
# Added support for Proxmox VE 4.x
#... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import numpy as np
dot = np.dot
norm = np.linalg.norm
mass_dict = {'H': 1.0, 'C': 12.0, 'O': 16.0, \
'Pt': 195.0, 'Ag': 107.9}
def read_poscar(poscar='POSCAR', format='vasp5'):
"""read POSCAR"""
with open(poscar, 'r') as reader:
... |
from envinorma.from_legifrance.legifrance_to_am import (
ArticleStatus,
LegifranceArticle,
LegifranceSection,
_extract_sections,
_structure_text,
extract_table,
)
from envinorma.io.markdown import (
DataFormat,
Link,
_extract_sorted_links_to_display,
_insert_links,
extract_ma... |
# Copyright (c) 2021 China Unicom Cloud Data Co.,Ltd.
# Copyright (c) 2019 - 2020 China Telecom 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
#
#... |
# -*- coding: utf-8 -*-
import sys, os
from argparse import ArgumentParser
from sklearn.decomposition import PCA
from scipy.stats import gaussian_kde
import numpy as np
sys.path.insert(1, os.path.join(sys.path[0], os.path.pardir))
from json_utils import load_json_file, load_json_stream
def extract_mat(langs):
# i... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
import tensorflow as tf
import numpy
from scipy import misc
import models
def optimistic_restore(session, save_file):
reader = tf.train.NewCheckpointReader(save_file)
saved_shapes = reader.get_variable_to_shape_map()
var_names = sorted([(var.name, var.name.split(':')[0]) for var in tf.global_variables() if var... |
"""Provides API for legacy user sessions."""
import ipaddress
import json
from datetime import datetime, timedelta
from pytz import timezone
import hashlib
from base64 import b64encode, b64decode
from typing import Optional, Generator, Tuple, List
from sqlalchemy import create_engine
from sqlalchemy.exc import SQLAl... |
from flask import request, url_for, redirect, abort, flash
from flask_login import login_required, current_user
from typing import List
from app import db
from app.main.views.utils import render_template_with_nav_info
from app.models import Corpus, User, Role, ControlLists, CorpusUser, ControlListsUser, WordToken
from... |
""" Unit Tests for searching """
import unittest
from ..searching import binary_search, kmp_search, rabinkarp_search, bmh_search, depth_first_search
class TestBinarySearch(unittest.TestCase):
"""
Tests Binary Search on a small range from 0-9
"""
def test_binarysearch(self):
self.seq = range(1... |
import numpy as np
import pytest
from kickscore.fitter import BatchFitter, RecursiveFitter
from kickscore.kernel import Matern32
from math import log, pi
KERNEL = Matern32(var=2.0, lscale=1.0)
# GPy code used to generate the ground-truth values.
#
# kernel = GPy.kern.Matern32(
# input_dim=1, varianc... |
import base64
from datetime import datetime
import os
class Boss:
def __init__(self, parent, level, options=None):
self.level = level
self.parent = parent
self.boss_list = {
'1':["FBI Cybercrimes Unit",2,os.path.join("assets", "art", "fbi.gif")],
'2':["PLA Unit 6139... |
#!/usr/bin/env python
# Filename: pre_yolo_data
"""
introduction: conver training data for semantic to yolo objection.
authors: <NAME>
email:<EMAIL>
add time: 04 April, 2021
"""
import os,sys
from optparse import OptionParser
code_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), '..')
sys.path.insert(... |
import numpy
from hashlib import sha256
from src.configurations import CACHE_FOLDER, SAMPLES_PER_SECOND, APPEARANCES_OUTFILE, SCORE_THRESHOLD
DEBUG = True
if DEBUG:
all_scores = []
passed_scores = []
all_scores_mean_n_std = lambda: (numpy.mean(all_scores), numpy.std(all_scores))
passed_scores_mean_n_... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Program entry point"""
import json
import os.path
import subprocess
import sys
import icoextract
from PyQt5 import QtWidgets
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
def get_styles(filename):
file = f"resources/styles/{fi... |
import requests
import psycopg2
from psycopg2 import Error
import re
import urllib.parse
import copy
import json
from datetime import datetime
from dateutil.parser import parse
def is_date(string, fuzzy=False):
"""
Return whether the string can be interpreted as a date.
:param string: str, string to check... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2018 <NAME> <<EMAIL>>
# License: MIT
import re
import sys
parse_re = re.compile(r"([xy])=(\d+), ([xy])=(\d+)..(\d+)")
def claycoordinates(lines):
for line in lines:
match = parse_re.match(line)
coord1 = match.group(1)
coord1val =... |
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... |
#
# Copyright (c) 2021, NVIDIA 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 required by appl... |
from namsa import SupercellBuilder, MSAGPU
from utils import *
import numpy as np
from time import time
import sys, os, re
import h5py
from mpi4py import MPI
from itertools import chain, product
import tensorflow as tf
import lmdb
comm = MPI.COMM_WORLD
comm_size = comm.Get_size()
comm_rank = comm.Get_rank()
def sim... |
"""Selecting simulations from a scan based on parameters.
"""
import os
import pickle
from copy import deepcopy
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Tuple, Union
import numpy
from tqdm import tqdm
from mlxtk.cwd import WorkingDir
from mlxtk.log import get_log... |
import requests
from urllib.parse import quote
from urllib.parse import urlencode
import csv
import Scripts.Dependencies as Dependencies
# OAuth credential placeholders that must be filled in by users.
# You can find them ons
# https://www.yelp.com/developers/v3/manage_app
# API constants, you shouldn... |
# # # # #
# network.py
#
# University of Illinois/NCSA Open Source License
# Copyright (c) 2015 Information Trust Institute
# All rights reserved.
#
# Developed by:
#
# Information Trust Institute
# University of Illinois
# http://www.iti.illinois.edu
#
# Permission is hereby granted, free of charge, to any person obta... |
__author__ = ["<NAME>"]
__copyright__ = u"Copyright 2020, The Pagral Project"
__credits__ = [u"<NAME>"]
__version__ = u"0.1.2"
__maintainer__ = u"<NAME>"
__email__ = "<EMAIL>"
__status__ = u"Development"
__date__ = u"12/09/2020"
__license__ = u"""
Copyright (C) 2016-2020 <NAME> <<EMAIL>>
<NAME> 261, 00198 Rome, It... |
#!/usr/bin/env python
from bs4 import BeautifulSoup
from bs4.diagnose import diagnose
from Crypto.Hash import SHA256
from simhash import Simhash
from dataclasses import dataclass
from dataclasses import field
from pathlib import Path
@dataclass
class Node:
name: str = field(default="")
attributes: list[str] =... |
import scipy.constants
from scipy.signal import fftconvolve, oaconvolve
import scipy.fft as sp_fft
import numpy as np
from numpy import sqrt, arctan ,arctanh, arctan2, log
def lafun(x,y,z):
"""
Indefinite integral for the Coulomb potential
\int 1/r dx dy dz
"""
r=sqrt(x**2+y**2+z**2)
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import argparse
import datetime
import hashlib
import json
import os
import platform
import pprint
import re
import requests
import string
import sys
import yaml
from collections import defaultdict
###################################... |
import concurrent.futures
import json
import logging
import re
from datetime import datetime
from time import sleep
import pytz
from faunadb import query as q
from faunadb.client import FaunaClient
from faunadb.objects import Ref
from telegram import (
InlineKeyboardButton,
InlineKeyboardMarkup,
KeyboardBu... |
from collections import OrderedDict
import pandas as pd
import torch
from utils.data import BanditData
from config.constants import EVAL_DISPLAY_BATCH
import os
class Evaluator(object):
def __init__(self, file_dir, method="Default", dataset="Default"):
is_exists = os.path.exists(file_dir)
if not ... |
# -*- coding: utf-8 -*- #
# Copyright 2019 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... |
from array import array
import wx
import numpy as np
from numpy.random import default_rng
def _lerp(x, y, alpha):
return x + (y - x) * alpha
def _lerp_color(x: wx.Colour, y: wx.Colour, alpha):
return wx.Colour(
_lerp(x.red, y.red, alpha),
_lerp(x.green, y.green, alpha),
_lerp(x.blue, ... |
# This software is distributed under the 3-clause BSD License.
# TBD: put in more options: threads, mipgaps for spokes
# There is manipulation of the mip gap,
# so we need modifications of the vanilla dicts.
# Notice also that this uses MutliExtensions
import sys
import json
import uc_funcs as uc
from mpisppy.util... |
from datetime import datetime, date, timedelta
def chinweekday2int(chin_weekday):
'''中文數字轉阿拉伯數字
Args:
(string)chin_weekday: 中文數字
Returns:
(int)阿拉伯數字
'''
if chin_weekday == '一':
return 1
elif chin_weekday == '二':
return 2
elif chin_weekday == '三':
retu... |
import pytest
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import repeat, rearrange
from src.models.modules.masking import LengthMask, TriangularCausalMask
from src.models.attention.full_attention import FullAttention
from src.models.attention.sblocal_attention import S... |
import tensorflow as tf
def get_activation_fn(type='relu'):
"""
Return tensorflow activation function given string name.
Args:
type:
Returns:
"""
if type == 'relu':
return tf.nn.relu
elif type == 'elu':
return tf.nn.elu
elif type == 'tanh':
return tf.n... |
import unittest
from unittest_data_provider import data_provider
from flambda_app.database.mysql import MySQLConnector
from flambda_app.request_control import Pagination, Order
from flambda_app.logging import get_logger
from flambda_app.repositories.v1.mysql.product_repository import ProductRepository
from flambda_ap... |
# coding: utf8
from __future__ import annotations
import collections.abc as c_abc
#import cProfile
import gzip
import json
import logging
import pathlib
from typing import Dict, IO, List, Optional, Union
from pydub import AudioSegment
from . import model, utau, utils
from .jsonclasses import dataclass
from .resampl... |
import numpy as np
import pytest
import torch
from carla.data.catalog import DataCatalog
from carla.models.catalog import MLModelCatalog
from carla.models.pipelining import encode, scale
testmodel = ["ann", "linear"]
test_data = ["adult", "give_me_some_credit", "compas"]
def test_properties():
data_name = "adul... |
# (C) Copyright 2020 EdgeCortix Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... |
'''
Created on Jan 28, 2015
@author: <NAME> <<EMAIL>>
'''
from __future__ import division
import os
import UserDict
import yaml
import numpy as np
from shapely import geometry
import matplotlib.pyplot as plt
from matplotlib import widgets
from utils.plotting import backend
class TackingAnnotations(UserDict.Dic... |
# -*- coding: utf-8 -*-
"""
Last update: 30/11/2021
<NAME>
"""
import os
try:
import numpy as np
from scipy.interpolate import griddata
except ModuleNotFoundError as error:
if error.name in ('numpy','scipy'):
print('\n'+error.msg+'\nPlease use PIP to install: "pip install '+error.name+'"\n')
... |
#-*- coding:utf-8 -*-
from django.conf import settings
from django.http import HttpResponseRedirect, HttpResponse
from django.shortcuts import render, redirect
from django.views.generic import View, TemplateView
from core.models import Photodb, Photofavorite
from django.contrib.auth import authenticate, login, logout
f... |
import datetime
import json
import os
import subprocess
import traceback
from dateutil.parser import isoparse
from auto_backup.argument_assigner import assign_arguments_to_self
class Task(object):
def __init__(self, name, tags, command, notify):
self.name = name
self.tags = set(tags)
sel... |
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... |
"""
<NAME>
Thu Feb 12 10:22:28 2020
Python 2 - DAT-129 - Spring 2020
Homework 2
Icon Processing
Adjustment A
"""
#PLAN
# =============================================================================
# Print an icon using a static input
# loop through list, print @ if 1, " " if 0
# ... |
# triplet loss
import tensorflow.keras.backend as K
from itertools import permutations
import random
import tensorflow as tf
import numpy as np
def generate_triplet(x, y, ap_pairs=10, an_pairs=10):
data_xy = tuple([x, y])
trainsize = 1
triplet_train_pairs = []
y_triplet_pairs = []
#triplet_test... |
from nhlscrapi._tools import to_int
from nhlscrapi._tools import exclude_from as ex_junk
from nhlscrapi.scrapr.reportloader import ReportLoader
from nhlscrapi.games.events import EventType as ET
class TOIRepBase(ReportLoader):
"""
Scrapes TOI reports. (home/away are same format).
"""
def __init__... |
from avatar2 import QemuTarget
from avatar2 import MemoryRange
from avatar2 import Avatar
from avatar2.archs import ARM, MIPS_24KF
from avatar2.targets import Target, TargetStates
from avatar2.message import *
import tempfile
import os
import time
import intervaltree
import logging
from nose.tools import *
qemu = ... |
import os
import textwrap
import shutil
import stat
from jinja2 import Environment, FileSystemLoader
import yzrpc
from . import CommandBase, CommandError
from yzrpc.utils import get_abspath
class Command(CommandBase):
formatter_cls_name = 'RawDescriptionHelpFormatter'
description = textwrap.dedent('''\
... |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Time: 2020/10/28 17:49:44
# Author: <NAME>
import os
import sys
import copy
from six import StringIO
import numpy as np
import gym
from gym import spaces
from chip_place_gym.envs import connect
from chip_place_gym.native import load_data
EMPTY = 0
BLACK = -1 # inp... |
import numpy as np
# The following functions take a dictionary of astronomical values (degrees)
# and return dimensionless scale factors for constituent amplitudes.
def f_unity(a):
return 1.0
# Schureman equations 73, 65
def f_Mm(a):
omega = np.radians(a['omega'].value)
i = np.radians(a['i'].value)
I = np.radia... |
import numpy, openravepy
from tsr.tsrlibrary import TSRFactory
from tsr.tsr import TSR, TSRChain
@TSRFactory('herb', 'rubbermaid_ice_guard_pitcher', 'push_grasp')
def pitcher_grasp(robot, pitcher, push_distance=0.1, manip=None, **kw_args):
'''
@param robot The robot performing the grasp
@param pitcher The... |
'''traju is a simple util for batch processing of MD trajectories using AmberTools'
cpptraj
'''
from __future__ import annotations
__all__ = []
from os import getenv
from sys import stdout
from shutil import move
from pathlib import Path
from typing import *
from itertools import chain
import logging
import asynci... |
import tensorflow as tf
import os
import cv2
from config import config
import dlib
import argparse
from data_utils import *
from model import *
def parse_arg(argv=None):
parser = argparse.ArgumentParser()
parser.add_argument("--trained_weights", type=str,
default="weights/gl... |
from collections import OrderedDict, defaultdict
import six
from six.moves import configparser
class _LineTrackingMixin(object):
# This is an internal class that patches in line tracking functionality
# to objects derived from RawConfigParser.
# Note: No docstring so that we don't accidentally mess up d... |
import os
import cv2
import copy
import skimage
import numpy as np
from math import log10, sqrt
from pathlib import Path
import matplotlib.pyplot as plt
def imageAcquisition(path):
img = cv2.imread(path, 0)
return img
def getBlocks(img, i, j, size):
#get the block of the image
b_img = np.zeros((s... |
import argparse
import numpy as np
import random
import matplotlib
import seaborn as sns; sns.set()
# matplotlib.use('TkAgg') # Can change to 'Agg' for non-interactive mode
import matplotlib.pyplot as plt
import baselines.common.plot_util as pu
# plt.rcParams['svg.fonttype'] = 'svgfont'
# plt.rcParams.update({'font.... |
# coding: utf-8
from django.db import IntegrityError
from django.utils import timezone
from social_django.utils import load_backend, load_strategy
from rest_framework.authtoken.models import Token
from rest_framework import parsers
from rest_framework import renderers
from rest_framework import permissions
from rest_f... |
from flask import Flask, request, render_template
from toolkit import WordCount
from toolkit import Readability
import re
app = Flask(__name__)
MAX_CONTENT_LENGTH = 10000
@app.route('/')
def default():
return homepage()
@app.route('/scores', methods=['GET'])
def scores_get():
return render_template('readabil... |
# -*- coding: utf-8 -*-
import datetime
import pkg_resources
import requests
from lxml.etree import XMLSchema, DTD, DocumentInvalid
from defusedxml.lxml import fromstring
from geolink_formatter.entity import Document, File
class SCHEMA(object):
"""Provides the available geoLink schema versions."""
V1_0_0 = ... |
from flask import Flask, request, jsonify, send_from_directory, Response, render_template, json
from flask_cors import CORS
from werkzeug.utils import secure_filename
from werkzeug.exceptions import RequestEntityTooLarge
from redis import Redis
from rq import Queue
from rq.job import Job
from rq.command import send_st... |
import io
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import cv2
import numpy as np
from helpers import birdseye
from threshold import combined_thresh
def hist(image):
'''take in a perspective transformed image and draw the histogram based on
lane lines found near the bottom'''
botto... |
#/usr/bin/env python
# -*- coding: utf-8 -*-
'''from: http://www.dongwm.com/archives/pythonban-ge-ren-jian-li/'''
import re
import random
def color(messages):
color = '\x1B[%d;%dm' % (1, random.randint(30, 37))
return '%s %s\x1B[0m' % (color, messages)
def len_zh(data):
temp = re.findall('[^a-zA-Z0-9.... |
# Import Flask
from flask import Flask, jsonify
# Dependencies and Setup
import numpy as np
import datetime as dt
# Python SQL Toolkit and Object Relational Mapper
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
from sqlal... |
import os
import errno
import socket
import struct
from select import select
from .utils import DictWrapper
from . import netlink, connector
PROC_CN_MCAST_LISTEN = 0x1
PROC_CN_MCAST_IGNORE = 0x2
PROC_EVENT_NONE = 0x00000000
PROC_EVENT_FORK = 0x00000001
PROC_EVENT_EXEC = 0x00000002
PROC_EVENT_UID = 0x00000004
PROC_EV... |
from pud.dependencies import *
from pud.collector import Collector
from pud.envs.simple_navigation_env import plot_walls, set_env_difficulty
from pud.utils import set_global_seed, set_env_seed
def visualize_trajectory(agent, eval_env, difficulty=0.5):
set_env_difficulty(eval_env, difficulty)
plt.figure(figsiz... |
#!/usr/bin/env python3
#
# Copyright 2019-2020 PSB
#
# 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 ... |
"""
MESH sub-module of pyhail
Contains the single pol MESH retrieval for gridded radar data.
Required reflectivity and temperature data
<NAME> - 15 June 2018
"""
import pyart
from pyhail import common
import netCDF4
import numpy as np
def _get_latlon(radgrid, ref_name):
"""
Generates lattitude and longitud... |
from typing import List
import pytest
from thinc.api import fix_random_seed, Adam, set_dropout_rate
from numpy.testing import assert_array_equal
import numpy
from spacy.ml.models import build_Tok2Vec_model, MultiHashEmbed, MaxoutWindowEncoder
from spacy.ml.models import build_bow_text_classifier, build_simple_cnn_text_... |
import discord
import asyncio
from discord.ext import commands
from discord.utils import get
from modules.bot_functions import *
from modules.chat_effects import *
class Market(commands.Cog):
"""
Commands :
- market
- buy
- sell
- remove_offer
"""
def __init__(self, bot):
sel... |
import torch
import torchvision
import torchvision.transforms as transforms
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision.datasets import Cityscapes
import numpy as np
from matplotlib import pyplot as plt
from skimage import color
from skimage import io
from ttictoc ... |
import asyncio
import gzip
import json
import socket
import sys
import threading
from collections import OrderedDict, defaultdict
from contextlib import contextmanager
from queue import Queue
from google.protobuf import json_format
from sanic import Sanic, response
from signalfx.generated_protocol_buffers import signa... |
import datetime
import json
import os
from typing import Type
from pathlib import Path
from experiment_visualization.app import WebApp, WebAppRunner
from hypernets.experiment import ABSExpVisExperimentCallback, ActionType, ABSExpVisHyperModelCallback
from hypernets.experiment import ExperimentMeta
from hypernets.utils... |
"""
Definition:
q - points_probability_matrix
sigma - clusters_variance
mu - clusters_means
"""
import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import load_iris
def calculate_normal_distribution(point: np.ndarray = 0, clusters_means: np.ndarray = 0,
clus... |
import datetime
from collections import Counter, deque
import numpy as np
from covid19sim.run import simulate
from covid19sim.utils.utils import extract_tracker_data
from tests.utils import get_test_conf
def print_dict(title, dic, is_sorted=None):
if not is_sorted:
items = dic.items()
else:
... |
""" Este arquivo é destinado interação com nosso banco de dados firebase """
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
from watson import criar_sessao
import datetime
# credenciais e inicialização da base de dados
cred = credentials.Certificate('chatone-f8990-fir... |
'''A library of Python date functions and terms for use within an ASP
program. Some Clorm fields and complex terms are defined as well as functions
to use them.
Any function that is to be called from within an ASP program will be prefixed
with: ``cl_``.
.. code-block:: none
date(@cl_date_range("... |
from os import chdir, makedirs
from pathlib import Path
from typing import Iterator, Optional, TypedDict, Union
import json
import sys
from loguru import logger
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
from yt_dlp.cookies import extract_cookies_from_browser
import click
import req... |
from __future__ import absolute_import, division, print_function
from scitbx.array_family import flex
import libtbx.load_env
import sys
from six.moves import range
def extend_sys_path():
sys.path.insert(0,
libtbx.env.under_build("scitbx/array_family/boost_python"))
def exercise_std_vector_conversions(verbose=0)... |
#!/usr/bin/python3
import sys
import numpy as np
import numpysane as nps
import os
import re
from inspect import currentframe
Nchecks = 0
NchecksFailed = 0
# no line breaks. Useful for test reporting. Yes, this sets global state, but
# we're running a test harness. This is fine
np.set_printoptions(linewidth=1e10, su... |
# -*- coding:utf-8 -*-
from __future__ import unicode_literals
import sys,os
import tensorflow as tf
from transwarpnlp.ner import reader, ner_model, ner_model_bilstm
from transwarpnlp.ner.config import LargeConfig
pkg_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(pkg_path)
train... |
# Version 4.0
import sys,splunk.Intersplunk
import re
import urllib
import time
"""
This script looks for query ids that overlap in time or have time gaps between.
max and min. The generated results only make sense for inputs that have a min/max
time and a query/search id specified. Currently the follo... |
import torch
from torch import nn
import math
from .helpers import _make_divisible
from src.utils import register_model, create_model
class SELayer(nn.Module):
def __init__(self, in_channels, out_channels, reduction=4):
super(SELayer, self).__init__()
self.avg_pool = nn.AdaptiveAvgPool2d(1)
... |
import os
import pickle
from dataclasses import dataclass
import numpy as np
from nltk import word_tokenize
from wordcloud import WordCloud
import matplotlib.pyplot as plt
import text_helpers
import collections
@dataclass
class Corpus(object):
word_index_map: np.ndarray
document_matrix: np.ndarray
invers... |
#!/usr/bin/env python3
"""
Tool to help with input/output encoding
Helpers to run smoothly in unicode-unfriendly environments like output redirect
or unusual language settings.
In such settings, output to console falls back to ASCII-only. Also open()
suddenly fails to interprete non-ASCII characters.
Therefore, at ... |
import json
import os
import subprocess
import sys
import numpy as np
import scipy.misc
WDIR = os.path.dirname(os.path.abspath(__file__))
with open(os.path.join(WDIR, "../../SETTINGS.json")) as f:
SETTINGS_JSON = json.load(f)
from scipy.ndimage.interpolation import zoom
from scipy.ndimage.filters import gaussia... |
import torch.nn as nn
import torch
import torch.nn.functional as F
from avalanche.models.simple_mlp import SimpleMLP
class DQNModel(nn.Module):
def __init__(self):
super().__init__()
def forward(x: torch.Tensor, task_label=None):
raise NotImplementedError()
@torch.no_grad()
def get_... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
MakeHuman redhat package build script
**Project Name:** MakeHuman
**Product Home Page:** http://www.makehumancommunity.org/
**Github Code Home Page:** https://github.com/makehumancommunity/
**Authors:** <NAME>, <NAME>
**Copyright(c):** MakeH... |
#!/usr/bin/env python
import sys
import os
import platform
import shutil
import subprocess
def check_for_executable(exe_name, args=['--version']):
try:
cmd = [exe_name]
cmd.extend(args)
subprocess.check_output(cmd)
return True
except (subprocess.CalledProcessError, IOError):
... |
# coding: utf-8
from systemtools.basics import *
from datatools.jsonreader import *
from datatools.url import *
from datatools.csvreader import *
from systemtools.basics import *
from systemtools.file import *
from systemtools.logger import log, logInfo, logWarning, logWarning, logError, Logger
from systemtools.locati... |
import dork_compose.plugin
from compose.cli.docker_client import docker_client
class Subnet:
"""
Represents one subnet and provides useful calculation methods.
"""
def __init__(self, subnet="", ip=[], cidr=None):
"""
Create a new subnet either by parsing the ip/cidr notation or settin... |
import numpy as np
import healpy as hp
from .. import coords
from .. import pixel
def randoms_usphere(size, phi_min=0., phi_max=2*np.pi, theta_min=0., theta_max=np.pi):
"""
Random points on the unit sphere or more generally across the surface of a sphere. The
default will give randoms on the full unit sp... |
# Copyright (C) 2007 <NAME> (<EMAIL>)
#
# 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 2 of the License, or
# (at your option) any later version.
#
# This program is distributed ... |
# Author: <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 agreed to in wr... |
"""
Usage:
# Create train data:
python generate_tfrecord.py --label=<LABEL> --csv_input=<PATH_TO_ANNOTATIONS_FOLDER>/train_labels.csv --output_path=<PATH_TO_ANNOTATIONS_FOLDER>/train.record
# Create test data:
python generate_tfrecord.py --label=<LABEL> --csv_input=<PATH_TO_ANNOTATIONS_FOLDER>/test_labels.csv --out... |
import math
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
def __str__(self):
return '({:.2f}, {:.2f})'.format(self.x, self.y)
def distanceTo(self, point):
return math.sqrt((self.x - point.x)**2 + (self.y - point.y)**2)
class Line:
def __... |
import math
import warnings
import chainer
import chainer.functions as F
import chainer.links as L
from tgan2.models.bn.categorical_conditional_batch_normalization \
import CategoricalConditionalBatchNormalization
try:
from chainermn.links import MultiNodeBatchNormalization
except Exception:
warnings.war... |
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 31 12:36:04 2019
@author: Chandar_S
"""
# import the necessary packages
import imutils
import time
import cv2
from keras.preprocessing.image import ImageDataGenerator
from keras.models import model_from_json
import numpy as np
from ReadLines import ReadLines
def pyrami... |
import inspect, sys, click, json
from models.image import Image
from descriptors import *
from functions import get_commands, bold
from log import logger
import logging as log
@click.group()
def cli():
'''
Allows you to call the application features using a shell interface
'''
@cli.command('parallels'... |
# -*- coding: utf-8 -*-
"""
Created on 2017/4/14
@author: MG
"""
# w.wsd("300343.SZ", "div_exdate", "2005-01-01", "2017-04-01", "Days=Alldays")
# w.wss("002482.SZ,300343.SZ", "div_recorddate,div_exdate","rptDate=20151231")
# w.wss("002482.SZ,300343.SZ", "div_cashbeforetax2,div_cashaftertax2,div_stock2,div_capi... |
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