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# -*- coding: utf-8 -*-
# Copyright 2015-2016 Telefónica Investigación y Desarrollo, S.A.U
#
# This file is part of FIWARE 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:
#
# htt... |
import sqlalchemy as sa
import numpy as np
import datetime as dt
from faker import Faker
from jinja2 import Environment, PackageLoader
from database.models.core import (
Base,
Products,
Customers,
TransactionDetails,
Transactions,
)
import logging
logging.basicConfig()
logger = logging.getLogger(... |
#!/usr/bin/env python3
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import numpy as np
import torch as th
import torchvision
from tqdm import tqdm
def main(args):
trainloader, testloader = get_loaders(args.batch_size, args.fashion)... |
#!/usr/bin/python3
'''
parse large XML files which stores funtional annotations of features
infact, we do not need xml module such as SAX at here
'''
import sys
# import datetime
'''
re_match_tag -- using regexp to match tag of xml
string: line of xml file
tag: <tag> or </tag>
status: 0 or 1, 0 match start, 1 ... |
import torch
from collections.abc import Iterable
def _get_layers(model, all_layers=None, all_names=None, top_name=None, fn=None, sep='_'):
"""Auxiliar function. Recursive method for getting all in the model for which `fn(layer)=True`."""
if all_names is None:
all_names = []
if all_layers is None:... |
from PIL import Image, ImageDraw
# depth = 6084
# target = (14,709)
# depth = 510
# target = (10,10)
# depth = 4848
# target = (15, 700)
depth = 9171
target = (7,721)
# depth = 11820
# target = (7,782)
buffer = 50
def getErrosion(index):
return (index + depth) % 20183
def getType(errosion):
return... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import os
import sys
import re
import urllib
import json
import socket
import time
import multiprocessing
from multiprocessing.dummy import Pool
from multiprocessing import Queue
import requests
timeout = 5
socket.setdefaulttimeout(timeout)
class Image(object):
"""图... |
# This program imports the federal reserve economic data consumer price index
# values from 1990 and uses those values to get the real values or infaltion adjusted
# values of the sepcific commodities/markets.
# Then when a commdoity hits a specific low infaltion based price, the algo
# enters into a long psoiton and ... |
from sympy import *
# Implementation of QuaternionBase<Derived>::toRotationMatrix(void).
# The quaternion q is given as a list [qw, qx, qy, qz].
def QuaternionToRotationMatrix(q):
tx = 2 * q[1]
ty = 2 * q[2]
tz = 2 * q[3]
twx = tx * q[0]
twy = ty * q[0]
twz = tz * q[0]
txx = tx * q[1]
txy = ty * q[... |
import os
from importlib import import_module
from django.apps import apps
from django.db.migrations.loader import MigrationLoader
from django.db.migrations.serializer import serializer_factory
from django.db.models import ForeignKey, ManyToManyField
from django.utils.inspect import get_func_args
from django.utils.mod... |
#!/usr/bin/env python
# coding: utf-8
# In[10]:
import os
import pandas as pd
import networkx as nx
import matplotlib.pyplot as plt
import random as rd
# In[11]:
def readFile(folderPath):
with open(folderPath, 'r') as f:
fileContents = f.readlines()
return fileContents
# In[12]:
def fillI... |
import datetime
from cerberus import Validator as _Validator
from sqlalchemy import inspect
from sqlalchemy.orm.collections import InstrumentedList
from sqlalchemy.exc import NoInspectionAvailable
def is_sqla_obj(obj):
"""Checks if an object is a SQLAlchemy model instance."""
try:
inspect(obj)
... |
"""
from https://github.com/PoonLab/MiCall-Lite, which was forked from
https://github.com/cfe-lab/MiCall.
MiCall is distributed under a dual AGPLv3 license.
"""
import sys
import argparse
from csv import DictWriter
from struct import unpack
import csv
import os
from operator import itemgetter
import sys
import math
... |
"""
Import wikidata nodes into KGTK file
"""
def parser():
return {
'help': 'Import wikidata nodes into KGTK file'
}
def add_arguments(parser):
"""
Parse arguments
Args:
parser (argparse.ArgumentParser)
"""
parser.add_argument("-i", action="store", type=str, dest="wikidat... |
import os
import re
import gzip
import argparse
import pandas as pd
import numpy as np
from collections import defaultdict
def get_args():
"""
Parse command line arguments
"""
parser = argparse.ArgumentParser(description="Method to create track for escape mutations")
parser.add_argument("-xlsx",... |
from twisted.plugin import IPlugin
from twisted.words.protocols import irc
from txircd.config import ConfigValidationError
from txircd.module_interface import Command, ICommand, IModuleData, ModuleData
from txircd.modules.xlinebase import XLineBase
from txircd.utils import durationToSeconds, ircLower, now
from zope.int... |
#!/usr/bin/env python3
"""
Easy to use Websocket Server.
Source: https://github.com/rharder/handy
June 2018 - Updated for aiohttp v3.3
August 2018 - Updated for Python 3.7, made WebServer support multiple routes on one port
"""
import asyncio
import logging
import weakref
from functools import partial
from typing imp... |
import unittest
import numpy as np
from dolo.numeric.ncpsolve import ncpsolve, smooth
def josephy(x):
# Computes the function value F(x) of the NCP-example by Josephy.
n=len(x)
Fx=np.zeros(n)
Fx[0]=3*x[0]**2+2*x[0]*x[1]+2*x[1]**2+x[2]+3*x[3]-6
Fx[1]=2*x[0]**2+x[0]+x[1]**2+3*x[2]+2*x[3]-2
F... |
"""
propertylist
"""
from __future__ import absolute_import, division, print_function
from collections import namedtuple
import logging
from PySide.QtCore import Qt
from mceditlib import nbt
from PySide import QtGui, QtCore
from mcedit2.util.load_ui import registerCustomWidget
log = logging.getLogger(__name__)
cl... |
import torch, math, copy
import scipy.sparse as sp
import numpy as np
from torch.nn.modules.module import Module
import torch.nn as nn
from torch.nn.parameter import Parameter
def normalize(adj, device='cpu'):
if isinstance(adj, torch.Tensor):
adj_ = adj.to(device)
elif isinstance(adj, sp.c... |
# -*- coding: utf-8 -*-
# © 2016 <NAME>, Trustcode
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html).
# #############################################################################
#
# <NAME> Sigep WEB
# Copyright (C) 2015 KMEE (http://www.kmee.com.br)
# @author: <NAME> <<EMAIL>>
# @auth... |
import os
"""
# If you have multi-gpu, designate the number of GPU to use.
os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"] = "6"
"""
import argparse
import logging
from tqdm import tqdm # progress bar
import numpy as np
import matplotlib.pyplot as plt
from keras import optimizers
from... |
"""
Start local development server
"""
import argparse
import logging
import shlex
import subprocess
import webbrowser
from contextlib import suppress
from http.server import HTTPServer, SimpleHTTPRequestHandler
from pathlib import Path
from ssl import wrap_socket
from tempfile import NamedTemporaryFile
from threading ... |
from __future__ import unicode_literals
import os, sys, subprocess, ast
from nbconvert.preprocessors import Preprocessor
from holoviews.core import Dimensioned, Store
from holoviews.ipython.preprocessors import OptsMagicProcessor, OutputMagicProcessor
from holoviews.ipython.preprocessors import StripMagicsProcessor
fr... |
import logging
import os
import pathlib
import requests
import shutil
from typing import Dict, List, Optional, Union
from PIL import Image, UnidentifiedImageError
from mir import scm
# project
def project_root() -> str:
root = str(pathlib.Path(__file__).parent.parent.parent.absolute())
return root
# mir r... |
import math
import os
import tempfile
from contextlib import contextmanager
from soap import logger
from soap.common.cache import cached
from soap.expression import operators, OutputVariableTuple
from soap.semantics.error import IntegerInterval, ErrorSemantics
flopoco_command_map = {
'IntAdder': ('{wi}', ),
... |
# -*- coding: utf-8 -*-
from coralquant.models.odl_model import BS_Stock_Basic, BS_SZ50_Stocks, TS_Stock_Basic, TS_TradeCal
from coralquant.spider.bs_stock_basic import get_stock_basic
from coralquant import logger
from datetime import date, datetime, timedelta
from sqlalchemy import MetaData
from coralquant.database i... |
"""Defines useful types and utilities for working with bytestrings."""
from __future__ import annotations
import zlib
from abc import abstractmethod, ABCMeta
from collections.abc import Iterable, Sequence
from io import BytesIO
from itertools import chain
from typing import cast, final, Any, Final, TypeVar, SupportsB... |
import numpy as np
import numpy.testing as npt
import noisyopt
def test_minimize():
deltatol = 1e-3
## basic testing without stochasticity
def quadratic(x):
return (x**2).sum()
res = noisyopt.minimize(quadratic, np.asarray([0.5, 1.0]), deltatol=deltatol)
npt.assert_allclose(res.x, [0.0, 0.... |
import json
import os
import pymongo
'''
fileService.py
Author: <NAME>
'''
mongo_client = pymongo.MongoClient()
#db = {}
'''
initialize
Takes a 'unique_id'entifier and sets up a database in MongoDB
and ensures that that database has collections associated with
the various file types that are stored.
'''
def init... |
import datetime
import cv2
import numpy as np
from artsci2019.lib.frame_checker import FrameChecker
from artsci2019.lib.util import scale_frame, scale_point, is_in_frame
from artsci2019.lib.face_recog import get_faces
from artsci2019.lib.sound import SoundPlayer
def draw_checked_frame(frame, checked_frame, factor):
... |
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score
import torch
from transformers import TrainingArguments, Trainer
from transformers import BertTokenizer, BertForSequenceClassification
from tran... |
"""
Plot an all-sky average proper motion map, using statistics downloaded from the Gaia archive with a query similar to the
following:
select
gaia_healpix_index(5, source_id) as healpix_5,
avg(pmra) as avg_pmra,
avg(pmdec) as avg_pmdec
from gaiaedr3.gaia_source
where parallax_over_error>=10
and parallax*paralla... |
"""
`bq25883`
====================================================
CircuitPython driver for the BQ25883 2-cell USB boost-mode charger.
* Author(s): <NAME>
Implementation Notes
--------------------
"""
from micropython import const
from adafruit_bus_device.i2c_device import I2CDevice
from adafruit_... |
import logging
import random
from collections import namedtuple
from typing import NamedTuple
from queue import PriorityQueue
from objects import BaseObject
from constants import NORTH, SOUTH, EAST, WEST
Space = namedtuple("Space", ["x", "y"])
# TODO: Big TODO - Re-implement space with z/t value for terrain???
# Sp... |
# -*- coding: utf-8 -*-
import datetime
from django.db.models import Count, Q
from django.utils import timezone
from trojsten.events.models import EventParticipant
from trojsten.people.constants import SCHOOL_YEAR_END_MONTH
from trojsten.results.constants import COEFFICIENT_COLUMN_KEY
from trojsten.results.generator... |
#!/usr/bin/env python3
import os
import sys
import subprocess
import traceback
from datetime import datetime
try:
sys.path.append(snakemake.config['args']['mcc_path'])
import scripts.mccutils as mccutils
import config.preprocessing.trimgalore as trimgalore
from Bio import SeqIO
except Exception as e:
... |
from __future__ import division, print_function
import os
import os.path as fs
import numpy as np
import pandas as pd
import re
### PURPOSE: Takes a directory containing N files of the form mXXXXXX.ovf ###
### and imports them to an N x X x Y x Z x 3 numpy array ###
### where X,Y,Z are the number of cells in x,y... |
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... |
import os
import sys
import json
import argparse
script_content = """\
#!/bin/sh
gpython=${PYENV_ROOT}/versions/$(pyenv global)/bin/python
gproj=${PYENV_ROOT}/versions/$(pyenv global)/bin/proj
if [[ $1 =~ ^[^\-] ]] ; then
result=$(exec $gpython $gproj --echo $1)
exit_code=$?
if test $exit_code -eq 0 ; th... |
from tkinter import Tk, Canvas
# This is an emulated display with the same API interface as for the Unicorn HAT/pHAT hardware.
# Thus, it relies upon (in part) code from: https://github.com/pimoroni/unicorn-hat/blob/master/library/UnicornHat/unicornhat.py
# Note that only the pHAT is supported, and rotation of the di... |
# Python plan -> Open Workbench XML converter.
#
# Python plan defines a Work Breakdown Structure where
# tasks are dictionaries and children are defined in a list.
# Children can contain sequences, to simplify data input;
# sequenced tasks are automatically chained (dependencies).
import sys
import math
from ... |
from pyqchem.structure import Structure
import numpy as np
# Ethene parallel position
def dimer_ethene(distance, slide_y, slide_z):
coordinates = [[0.0000000, 0.0000000, 0.6660120],
[0.0000000, 0.0000000, -0.6660120],
[0.0000000, 0.9228100, 1.2279200],
... |
"""Manage the directories
This includes options to store the hashtable in a file or keep
it temporarily, where it will be returned from the function...
"""
import json
import os
import platform
from typing import Tuple, Union
from .errors import FilenameError, PathError, SystemNotSupported
__all__ = [
"set_dire... |
import re
def le_assinatura():
"""[A funcao le os valores dos tracos linguisticos do modelo e devolve uma assinatura a ser comparada com os textos fornecidos]
Returns:
[list] -- [description]
"""
print("Bem-vindo ao detector automático de COH-PIAH.")
print("Informe a assinatura típica de... |
"""
Test script for utils.py function.
"""
import os
import numpy as np
import pytest
from astropy import units as u
from cwinpy.utils import (
ellipticity_to_q22,
gcd_array,
get_psr_name,
initialise_ephemeris,
int_to_alpha,
is_par_file,
logfactorial,
q22_to_ellipticity,
)
from lalpuls... |
import unittest
from typing import Tuple
from neofoodclub import NeoFoodClub # type: ignore
from neofoodclub.types import RoundData # type: ignore
# i picked the smallest round I could quickly find
test_round_data: RoundData = {
"currentOdds": [
[1, 2, 13, 3, 5],
[1, 4, 2, 4, 6],
[1, 3, ... |
from configparser import ConfigParser
import os
from dotenv import load_dotenv
import pathlib
from shutil import copyfile
from execution_engine2.db.models.models import Job, JobInput, Meta
from dateutil import parser as dateparser
import requests
import json
from datetime import datetime
from execution_engine2.exceptio... |
import decimal
import itertools
import random
from datetime import date, timedelta
import factory
from applications.enums import ApplicationStatus, ApplicationStep, BenefitType
from applications.models import (
AhjoDecision,
Application,
APPLICATION_LANGUAGE_CHOICES,
ApplicationBasis,
ApplicationBa... |
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
T = 200
h = 1e-2
t = np.arange(start=0, stop=T + h, step=h)
bet, gam = 0.15, 1 / 50
# todo: zmienic poziej na randoma
# S_pocz = np.random.uniform(0.7, 1)
S_start = 0.8
I_start = 1 - S_start
R_start = 0
N = S_start + I_start + R_sta... |
import glob
import os
# os.environ["IMAGEIO_FFMPEG_EXE"] = "C:/ffmpeg-4.4.1-essentials_build/ffmpeg-4.4.1-essentials_build/bin"
import re
import sys
import urllib
from tkinter import (BOTH, RIGHT, YES, Button, Entry, Label, Listbox, Menu,
Scrollbar, StringVar, Tk, Y)
from tkinter import messagebox ... |
#!/usr/bin/python
#-*- coding: utf-8 -*-
# >.>.>.>.>.>.>.>.>.>.>.>.>.>.>.>.
# Licensed under the Apache License, Version 2.0 (the "License")
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# --- File Name: shapes3d.py
# --- Creation Date: 16-01-2021
# --- Last Modified: Tue 13 A... |
from functools import reduce
import numpy as np
import json
import tensorflow as tf
from scipy.optimize import linear_sum_assignment
import os
import time
def deleteDuplicate_v1(input_dict_lst):
f = lambda x,y:x if y in x else x + [y]
return reduce(f, [[], ] + input_dict_lst)
def get_context_pair(resp, l):
label_w... |
# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... |
from blockchain import Blockchain, Transaction
from nacl.signing import SigningKey
from hashlib import sha256
from time import sleep
from threading import Thread
import random
class Node:
"""Represent a Node."""
def __init__(self, neighbours, unverified_transactions_pool):
"""
Initialize the ... |
import re
import os
from prob import trans_P, emit_P, start_P
from preprocess import preprocess, recov, UNK
DATAROOT = '/home/luod/class/nlp/HanTokenization/datasets'
RESULTROOT = '/home/luod/class/nlp/HanTokenization/results'
VOCAB_FILE = os.path.join(DATAROOT, 'training_vocab.txt')
VOCAB_FREQ = os.path.join(RESULTR... |
'''
Main function to be called from GCE's cloud function
This function is in charge of adding training data to
the datastore for later generation of models and feature study
'''
import sys
import os
import time
import numpy as np
from google.cloud import datastore
from google.cloud import storage
from google.api_core... |
import xarray as xr
from .basic import zonal_mean, zonal_wave_coeffs, zonal_wave_covariance
def _print_if_true(msg, condition, **kwargs):
r"""Simple utility function to print only if the given condition is True.
Parameters
----------
msg : string
The message to print
condition : bool
... |
# 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 u... |
# -*- coding: utf-8 -*-
import tensorflow as tf
import matplotlib.pyplot as plt
import matplotlib as mpl
import simulators
import derivatives
import utils
import books
import hedge_models
import preprocessing
import approximators
from constants import FLOAT_DTYPE
class BrownianMotion(simulators.GBM):
def __init_... |
"""Constant and messages definition for MT communication."""
class MID:
"""Values for the message id (MID)"""
## Error message, 1 data byte
Error = 0x42
ErrorCodes = {
0x03: "Invalid period",
0x04: "Invalid message",
0x1E: "Timer overflow",
0x20: "Invalid baudrate",
0x21: "Invalid parameter"
}
# Stat... |
import torch
import numpy as np
import cv2
def tonumpyimg(img):
"""
Convert a normalized tensor image to unnormalized uint8 numpy image
For single channel image, no unnormalization is done.
:param img: torch, normalized, (3, H, W), (H, W)
:return: numpy: (H, W, 3), (H, W). uint8
"""
... |
#appModules/msimn.py - Outlook Express appModule
#A part of NonVisual Desktop Access (NVDA)
#Copyright (C) 2006-2012 NVDA Contributors
#This file is covered by the GNU General Public License.
#See the file COPYING for more details.
import winUser
import controlTypes
import displayModel
import textInfos
import api
impo... |
# 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 u... |
"""
Useful functions for the admin panel of ImageLabeller. In particular:
* Download labels from database to json or csv
* Upload images to the database, from json (catalogue of image locations) or zip archive
NOTE:
When uploading files, or an archive full of files, we will attempt to
match the filename to a regex wi... |
# The original GA algorithm is here:
import numpy as np, random, operator, pandas as pd, matplotlib.pyplot as plt
import math
class City:
def __init__(self, x, y):
self.x = x
self.y = y
def distance(self, city):
xDis = abs(self.x - city.x)
yDis = abs(self.y - city.y)
... |
# Copyright (c) 2016-2018, University of Idaho
# All rights reserved.
#
# <NAME> (<EMAIL>)
#
# The project described was supported by NSF award number IIA-1301792
# from the NSF Idaho EPSCoR Program and by the National Science Foundation.
import os
from os.path import exists as _exists
from os.path import join as _joi... |
from django.shortcuts import render,get_object_or_404, redirect
from django.http import HttpResponseRedirect, HttpResponse, JsonResponse
from monitor.models import Machine, Crash, Testcase, Profile, DupCrash
from track.models import Issue
from django.http import Http404
from django.conf import settings
from django.core... |
from pettingzoo import AECEnv
from pettingzoo.utils import agent_selector
from pettingzoo.utils import wrappers
from pettingzoo.utils.conversions import parallel_wrapper_fn
from gym_stag_hunt.envs.hunt import HuntEnv
from gym.spaces import Box
import cv2
import numpy as np
def env(grid_size=(5, 5), screen_size=(600,... |
import argparse
import cv2
import numpy as np
from inference import Network
from openvino.inference_engine import IENetwork, IECore
import pylab as plt
import math
import matplotlib
from scipy.ndimage.filters import gaussian_filter
INPUT_STREAM = "emotion.mp4"
CPU_EXTENSION = "C:\\Program Files (x86)\\IntelSWTools\\o... |
############################################################
# Dev: <NAME>
# Class: Machine Learning
# Date: 2/23/2022
# file: utils.py
# Description: utility functions for artificial neural
# network learning
#############################################################
import random
class Data:
'''c... |
import sys, numpy
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import MultinomialNB
#0=drama,1=comedy,2=animated,3=action/adventure
def random_forest_class(raw_test_set):
x_train=[]
y_train=[]
count=0
vectorize... |
#!/usr/bin/env python3
"""
Models that maps to Cloudformation functions.
"""
def replace_fn(node):
"""Iteratively replace all Fn/Ref in the node"""
if isinstance(node, list):
return [replace_fn(item) for item in node]
if isinstance(node, dict):
return {name: replace_fn(value) for name, val... |
import numpy as np
import queue
import cv2
import os
import datetime
SIZE = 32
SCALE = 0.007874015748031496
def quantized_np(array,scale,data_width=8):
quantized_array= np.round(array/scale)
quantized_array = np.maximum(quantized_array, -2**(data_width-1))
quantized_array = np.minimum(quantized_array, 2**... |
import numpy as np
from typing import Tuple
import plotly.io
from IMLearn.metalearners.adaboost import AdaBoost
from IMLearn.learners.classifiers import DecisionStump
from IMLearn.metrics import accuracy
from utils import *
import plotly.graph_objects as go
from plotly.subplots import make_subplots
plotly.io.rendere... |
import time
from datetime import datetime as dt
import colorama
from colorama import Fore, Back, Style
import socket
import os
import sys
def CS(X):
time.sleep(X)
os.system("clear")
def socknames():
myHostName = socket.gethostname()
myIP = socket.gethostbyname(myHostName)
print("\033[35m[\033... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import sys
import os.path
from PIL import Image
import logging
import numpy as np
from .base_analyzer import BaseAnnotator
if os.environ.get('PYTORCH_MODE',False):
import dvalib.crnn.utils as ut... |
"""Calculators for different values.
In order to approximate the emissions for a single kWh of produced
energy, per power source we look at the following 2016 data sets.
* Detailed EIA-923 emissions survey data
(https://www.eia.gov/electricity/data/state/emission_annual.xls)
* Net Generation by State by Type of Pr... |
#encoding=utf8
import time
import numpy as np
import tensorflow as tf
from tensorflow.contrib import crf
import cws.BiLSTM as modelDef
from cws.data import Data
tf.app.flags.DEFINE_string('dict_path', 'data/your_dict.pkl', 'dict path')
tf.app.flags.DEFINE_string('train_data', 'data/your_train_data.pkl', 'tr... |
from datetime import datetime, timedelta
from auth import *
from edit import video_length_seconds, get_total_length, change_fps, is_copyright, merge_videos
from upload_video import *
from random import randrange
import os
# if __name__ == '__main__'
auth = createAuthObject()
def get_clips_by_cat(daysdiff, category)... |
# Copyright 2014 SolidBuilds.com. All rights reserved
#
# Authors: <NAME> <<EMAIL>>
from flask import Blueprint, redirect, render_template
from flask import request, url_for
from flask_user import current_user, login_required, roles_required
from app import db
from app.models.user_models import UserProfileForm
boo... |
import gi
import ctypes as pyc
from ctypes import pythonapi
from gi.repository import GObject as GO
pyc.cdll.LoadLibrary('libgobject-2.0.so')
lego = pyc.CDLL('libgobject-2.0.so')
lego.g_type_name.restype = pyc.c_char_p
lego.g_type_name.argtypes = (pyc.c_ulonglong,)
pythonapi.PyCapsule_GetName.restype = pyc.c_char_p
pyt... |
# 3rd party import
import tensorflow as tf
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.framework import dtypes
# stdlib import
# module import
import model_utils
def UQP_nce_loss(model, user_idxs, query_word_idxs, product_idxs, word_idxs):
"""
Arg... |
import random
import logging
from math import sqrt
from rec.dataset.dataset import Dataset
from rec.recommender.base import SessionAwareRecommender
from collections import defaultdict, Counter
import tqdm
class SessionKnnRecommender(SessionAwareRecommender):
def __init__(self, k=100, sample_size=1000, similarity... |
"""
Copyright (c) 2018 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in wri... |
"""
This file will stored all dynamic class and methods.
These methods will be used throughout the whole program.
"""
import sys
import concurrent.futures as cf
import threading
from functools import wraps
from ..utils.request import Session
from ..errors import BuildError
def Threader(f):
@wraps(f)... |
# coding=utf-8
# Copyright 2014, <NAME> http://github.com/rafi
# vim: set ts=8 sw=4 tw=80 et :
import logging
import requests
from beets.plugins import BeetsPlugin
from beets import ui
from beets import dbcore
from beets import config
log = logging.getLogger('beets')
api_url = 'http://ws.audioscrobbler.com/2.0/?meth... |
# Notes from this experiment:
# 1. adapt() is way slower than np.unique -- takes forever for 1M, hangs for 10M
# 2. TF returns error if adapt is inside tf.function. adapt uses graph inside anyway
# 3. OOM in batch mode during sparse_to_dense despite of seting sparse in keras
# 4. Mini-batch works but 15x(g)/20x slower ... |
"""
Script to make nucleosome occupancy track!
@author: <NAME>
"""
##### IMPORT MODULES #####
# import necessary python modules
#import matplotlib as mpl
#mpl.use('PS')
import matplotlib.pyplot as plt
import multiprocessing as mp
import numpy as np
import traceback
import itertools
import pysam
from pyatac.utils impo... |
#!/usr/bin/env python3
import numpy as np
import copy
import itertools
import sys
import ete3
import numpy as np
from Bio import AlignIO
# import CIAlign.cropSeq as cropSeq
# from AlignmentStats import find_removed_cialign
def writeOutfile(outfile, arr, nams, rmfile=None):
'''
Writes an alignment stored in ... |
import torch
import torch.nn.utils
import torch.cuda.amp as amp
import torchvision.ops as cv_ops
import utils.bbox_ops as bbox_ops
def train_one_epoch(model, optimizer, criterion, lr_scheduler, data_loader, dist_logger, epoch_idx):
losses, cls_losses, bbox_losses, centerness_losses = [], [], [], []
model.tr... |
#!/usr/bin/env python
#
# fsl_ents.py - Extract ICA component time courses from a MELODIC directory.
#
# Author: <NAME> <<EMAIL>>
#
"""This module defines the ``fsl_ents`` script, for extracting component
time series from a MELODIC ``.ica`` directory.
"""
import os.path as op
import sys
import a... |
import collections
import io
import numpy as np
import tensorflow as tf
hidden_dim = 1000
input_size = 28 * 28
output_size = 10
train_data_file = "/home/harper/dataset/mnist/train-images.idx3-ubyte"
train_label_file = "/home/harper/dataset/mnist/train-labels.idx1-ubyte"
test_data_file = "/home/harper/dataset/mnist/t... |
import json
import tempfile
from collections import OrderedDict
import os
import numpy as np
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
from utils import BoxList
#from utils.pycocotools_rotation import Rotation_COCOeval
def evaluate(dataset, predictions, result_file, score_... |
import pytest
from helpers.cluster import ClickHouseCluster
import urllib.request, urllib.parse
import ssl
import os.path
HTTPS_PORT = 8443
NODE_IP = '10.5.172.77' # It's important for the node to work at this IP because 'server-cert.pem' requires that (see server-ext.cnf).
NODE_IP_WITH_HTTPS_PORT = NODE_IP + ':' + st... |
import numpy as np
import pandas as pd
import pandas.api.types as pdtypes
from ..utils import resolution
from ..doctools import document
from .stat import stat
@document
class stat_boxplot(stat):
"""
Compute boxplot statistics
{usage}
Parameters
----------
{common_parameters}
coef : flo... |
#
# Copyright 2017 Import.io
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
import numpy as np
def fit_MRF_pseudolikelihood(adj_exc,adj_inh,y):
'''
Fit a Markov random field using maximum pseudolikelihood estimation,
also known as logistic regression. The conditional probabilities
follow
y_i ~ Logistic(B[0] + B[1] A1_{ij} y_j + A1[2] X_{ij} (1-y_j)
+ B[... |
from __future__ import print_function
import numpy as np
import treegp
from treegp_test_helper import timer
from treegp_test_helper import get_correlation_length_matrix
from treegp_test_helper import make_1d_grf
from treegp_test_helper import make_2d_grf
@timer
def test_hyperparameter_search_1d():
optimizer = ['l... |
"""
(C) Copyright 2021 IBM Corp.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
d... |
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