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import torch
import torch.utils.data as data
from PIL import Image
import os
import math
import functools
import json
import copy
import pandas as pd
from random import shuffle
import pickle
from utils import load_value_file
import random
def pil_loader(path):
# open path as file to avoid ResourceWarning (https://... |
#!/usr/bin/env python
## Copyright (c) 2019, Alliance for Open Media. All rights reserved
##
## This source code is subject to the terms of the BSD 2 Clause License and
## the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
## was not distributed with this source code in the LICENSE file, you ca... |
# Python
import math
import threading
# PyO
import pyo
class MidiListener(pyo.MidiListener):
def __init__(self, *args, **kwargs):
super(MidiListener, self).__init__(*args, **kwargs)
self._stop_event = threading.Event()
def run(self):
self._listener.play()
while not self._sto... |
#############################################################
#######Variant Annotator Example Prototype####################
#######<NAME> 06/20/2019 #######################
#############################################################
#A basic script that takes in a VCF, pulls annotations from Ensembl Variant Effect P... |
#! /usr/bin/env python3
import re
import sys
import time
import z3
from typing import List, Match, Optional, Tuple
TEST = True
DEBUG = False
STDIN = False
INFILENAME = "inputs/24.txt"
TESTFILENAME = "inputs/24.test.txt"
for arg in sys.argv:
if arg == "--notest":
TEST = False
if arg == "--debug":
... |
from SemanticDataset import *
def getParentName(page):
return getPage(page).get("Is child of")
def getParentsNames(page):
parents = []
if getPage(page).get("Is child of") != None:
parents.append(getPage(page).get("Is child of"))
for p in pagesWherePredicateIs("Is parent of", getPage(page).name):
parents.app... |
"""
.. _l-b-numpy-numba-ort:
Compares numba, numpy, onnxruntime for simple functions
=======================================================
The following benchmark is inspired from `bench_arrayexprs.py
<https://github.com/numba/numba-benchmark/blob/master/benchmarks/bench_arrayexprs.py>`_.
It compares :epkg:... |
#!/usr/bin/python
from Bio import Phylo, AlignIO
import os.path
OUT_PREFIX = "col_"
SITES_DELIM = ","
RANGE_DELIM = "-"
COLOUR_DELIM = ","
class InputError(ValueError):
pass
class Input:
DEFAULT_COL_FILE = "default_colour.csv"
def __init__(self, tree_path, align_path, branches, tree_in_format,
... |
'''
Bootstrap replicates of other statistics
We saw in a previous exercise that the mean is Normally distributed. This does not necessarily hold for
other statistics, but no worry: as hackers, we can always take bootstrap replicates! In this exercise,
you'll generate bootstrap replicates for the variance of the annual... |
import os
import csv
import platform
import argparse
from subprocess import call
from shutil import move
mol_convert_path = "/Applications/MarvinSuite/bin/molconvert"
def generate_image_files(compounds_file, path, structure_key='structure', dir_depth=0,
img_type='svg', formating='-a,nosource... |
import datetime
from django.conf import settings
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.urls import reverse
from django.shortcuts import render, redirect, get_object_or_404
from accounts.models import Vendor, Customer, Driver
from catalog.models import... |
import cv2
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import warnings
from einops import rearrange
class LayerNorm2D(nn.Module):
def __init__(self, dim):
super(LayerNorm2D, self).__init__()
self.norm = nn.LayerNorm(dim)
def forward(self, ... |
#!/usr/bin/env
# -*- coding: utf-8 -*-
'''
Copyright (c) 2018 Tramac
https://github.com/Tramac/awesome-semantic-segmentation-pytorch/blob/master/core/models/denseaspp.py
Copyright (c) 2019 Charles
'''
from __future__ import absolute_import
import os
import torch
import torch.nn as nn
import torch.nn.functional as F... |
"split a single file-like stream into horcruxes"
import math
import itertools
import datetime
from rich.progress import Progress, BarColumn, FileSizeColumn
from . import crypto
from . import sss
from . import io
MIN_BLOCK_SIZE = 20
DEFAULT_BLOCK_SIZE = 4096
MAX_CHUNK_SIZE = 1024 * 1024 * 100 # 100 MiB
def _ideal... |
from itertools import product
from tqdm import tqdm
from functools import cache
PRACTICE = True
with open("test.txt" if PRACTICE else "input.txt", "r") as f:
content = f.read().strip()
def overlaps(a, b):
# TODO rethink entire xform logic to yield 24 options based on how we orient
# +x axis (6 options)
... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from sympy.core.function import Application
from .core import DottedName
from .core import Import
from .core import Range, Len , Enumerate, Zip, Product, Map
from .core import FunctionDef, Return, Assign
from .core import Constant, Variable, IndexedVariable
from .numpyext imp... |
from __future__ import annotations
import click
import contextvars as cv
import inspect
import logging
import os
import secrets
import traceback
import typing
from contextlib import AsyncExitStack
from starlette.datastructures import State
from starlette.routing import BaseRoute
from starlette.types import Receive, Sc... |
import pyarrow as pa
import numpy as np
import pyarrow.compute as c
# Cleaning functions
def clean_num(arr, impute=0.0, clip_min=None, clip_max=None):
return (pa.array(np.nan_to_num(arr.to_numpy(zero_copy_only=False).astype(np.float64), nan=impute).clip(clip_min, clip_max)), )
def clean_cat(arr, categories=[]):
... |
import argparse
import os
import numpy as np
import keras.backend as K
from keras.optimizers import Adam
from keras.utils import generic_utils
from keras.callbacks import ModelCheckpoint
import nets
def load_img_and_dct_data(dataset_path):
files = os.listdir(dataset_path)
X = np.zeros((len(files), 224, 224... |
# -*- coding: utf-8 -*-
"""
pyrseas.dbobject.operclass
~~~~~~~~~~~~~~~~~~~~~~~~~~
This module defines two classes: OperatorClass derived from
DbSchemaObject and OperatorClassDict derived from DbObjectDict.
"""
from pyrseas.dbobject import DbObjectDict, DbSchemaObject
from pyrseas.dbobject import commen... |
"""
CPC computes Common principal components of a set of matrices.
This file uses a variation of Trendafilov (2010) method to compute
the k first common principal components of a set of matrices in an
efficient way
"""
import warnings
from sklearn.base import BaseEstimator
import scipy.sparse.linalg as sparse
impor... |
from django.db import models
from django.utils.translation import ugettext_lazy as _
from mezzanine.core.fields import FileField, RichTextField
from mezzanine.pages.models import Page
from mezzanine.core.models import Displayable, RichText, Orderable, Slugged, SiteRelated
from mezzanine.core.managers import Searchable... |
from django.shortcuts import render
from django.http import HttpResponseRedirect, HttpResponse
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404, render, redirect
from .models import *
# from .restapis import related methods
from django.contrib.auth import login, logout, authent... |
#!/usr/bin/python
#
# Copyright (c) 2021 <NAME>(@praveenghuge) <NAME>(@karldas30) <NAME> (@saurabh3796)
#
# 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
DOCUMENTATION = '''
---
module: ... |
# copyright (c) 2021 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 applic... |
import bson
from marshmallow import fields, pre_load
from marshmallow.validate import ValidationError
from yModel import Schema, OkSchema, ErrorSchema, OkResult, OkDictResult, OkListResult, consumes, produces, can_crash
from yModel.mongo import ObjectId, MongoTree, NotFound
from ySanic import notaroute
class ExistsE... |
#!/usr/bin/env python
from os import path
import sys
import sqlite3
import random
import argparse
import re
import gzip
import mvmv.mvmv as mvmv
import mvmv.mvmvd as mvmvd
import mvmv.parse as parse
class DownloadDB(argparse.Action):
def __init__(self, option_strings, dest, nargs=None, **kwargs):
super(D... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
# This code is adapted from <NAME> great Surface Projection tutorial
# https://bitaesthetics.com/posts... |
from django import forms
from django.forms import ModelForm, TextInput, EmailInput, DateTimeInput, ClearableFileInput, URLInput
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from .models import *
class ExperienceInputform(forms.ModelForm):
name = forms.CharFi... |
# ===============================================================================
# Copyright 2015 <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/LI... |
import math
from IMLearn.utils import split_train_test
from IMLearn.learners.regressors import LinearRegression
from typing import NoReturn
import numpy as np
import pandas as pd
import plotly.graph_objects as go
import plotly.express as px
import plotly.io as pio
pio.templates.default = "simple_white"
def pre_pro... |
from random import randint
import numpy as np
import time
import random
import matplotlib.pyplot as plt
'''
This project is revised by the open source code https://github.com/dingran/knight-isolation.
The author of modification is <NAME> <EMAIL>
'''
def multimax(game, player,iteration = 0):
"""The basic eval... |
import os
import re
import subprocess
import plac
def main(only_vectorial_figures=False):
'''only_vectorial_figures=False uses the ./source/media raster images
only_vectorial_figures=True uses the vectorial figures placed in ./out/figures'''
print('step 1: download from https://www.docx2latex.com/docx... |
import numpy as np
import csv
def thereticalUser():
Method_Of_Communication = np.random.choice(['text', 'email', 'phone', 'mail'])
Urgency = np.random.random()
Resource_Allocation = np.random.random()
CustomerAge = getTheoryAge(Method_Of_Communication, Urgency, Resource_Allocation)
Current_Ov... |
import torch
assert torch.__version__>='1.2.0', 'Expect PyTorch>=1.2.0 but get {}'.format(torch.__version__)
from torch import nn
import torch.nn.functional as F
class DCN_Deep_Layer(nn.Module):
"""
Deep component of DCN
"""
def __init__(self, input_dim, ffn_dim, ffn_dropout, *args, **kwargs):
... |
# The MIT License (MIT)
#
# Copyright (c) 2015 <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, me... |
# Copyright 2018 Platform9 Systems, 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 wr... |
import os
from os import environ
import argparse
import txaio
from socs.agent.smurf_recorder import FrameRecorder
# For logging
txaio.use_twisted()
on_rtd = os.environ.get('READTHEDOCS') == 'True'
if not on_rtd:
from ocs import ocs_agent, site_config
class SmurfRecorder:
"""Recorder for G3 data streams se... |
import pickle
from pathlib import Path
from re import search
from typing import Union
import pytest
from gallica_autobib.gallipy import Ark, Resource
from gallica_autobib.gallipy.ark import ArkParsingError
from gallica_autobib.models import Article, Book, Collection, Journal
from gallica_autobib.query import GallicaRe... |
"""Postgres driver."""
# pylint: disable=R0201
import os
from contextlib import ContextDecorator
from typing import Any, AnyStr, Dict, List, NoReturn, Optional, Tuple
from pyqldb.config.retry_config import RetryConfig
from pyqldb.driver.qldb_driver import QldbDriver
from pyqldb.execution.executor import Executor
fr... |
from typing import (
Optional,
Tuple,
Dict,
Any,
)
from helios.protocol.common.datastructures import HashFragmentBundle
from hvm.rlp.headers import BlockHeader
from hvm.rlp.consensus import NodeStakingScore
from helios.protocol.common.trackers import BasePerformanceTracker
from helios.protocol.common.... |
# Standard library imports
from pickle import *
import sys, new
import logging
from types import GeneratorType
# Enthought library imports
from apptools.persistence.updater import __replacement_setstate__
logger = logging.getLogger(__name__)
##########################################################################... |
from typing import Dict, Tuple, Union, TypedDict, List
import numpy as np
from neo4japp.models import Files
from neo4japp.services.annotations import ManualAnnotationService
from pandas import DataFrame, MultiIndex
from scipy.stats import mannwhitneyu
import pandas as pd
# region Types
class AnnotationMeta(TypedDict... |
import numpy as np
import xarray as xr
from scipy import stats
import scipy.odr as odr
from statsmodels.tsa.seasonal import STL
def _ensure_monthly(ds):
np.testing.assert_approx_equal(
actual=(ds.time.diff('time') / np.timedelta64(1, 'D')).mean(),
desired=30.4,
significant=1
... |
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 15 18:23:12 2017
@author: s157084
"""
import pandas as pd
import time
from sklearn import preprocessing
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA as sklearnPCA
import matplotlib.pyplot as plt
import statsmodels.formula.api as ... |
"""
Implements nest_ops db subcommand, which
does database initializing and clearing and
a few simple info methods
"""
import argparse
from nest_py.ops.ops_logger import log
import nest_py.nest_envs as nest_envs
import nest_py.ops.nest_sites as nest_sites
from nest_py.nest_envs import ProjectEnv
from nest_py.ops.nest... |
from tasks.R2R.utils import load_datasets, load_nav_graphs
from tasks.R2R.env import LowLevelR2RBatch
from tasks.R2R.utils import check_config_judge
from collections import defaultdict
import json
import os
import networkx as nx
import numpy as np
import pprint
pp = pprint.PrettyPrinter(indent=4)
class Evaluation(ob... |
import os
from argparse import ArgumentParser
import numpy as np
import torch
import torch.nn as nn
import tqdm
from torch import optim
from torch.utils.data import DataLoader
from segmentation.dataset import DetectionDataset, get_dataloaders
from segmentation.models import get_segmentation_model
from segmentation.t... |
import aiohttp
import logging
from typing import Tuple
from collections import namedtuple
from enum import Enum
name = "libhhttpcam"
_LOGGER = logging.getLogger(__name__)
RESULT_CODE = {
'0': 'Success',
'-1': 'CGI request string format error',
'-2': 'Username or password error',
'-3': 'Access denied ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: <NAME><<EMAIL>>
# Date: 2021-3-20
import json
import xlutils
from xlutils.filter import process,BaseFilter
from xlutils.filter import XLWTWriter
from xlutils.filter import XLRDReader
import xlrd
import xlwt
#json 模版
pro_json = {
"header": [
{
... |
"""
PyGearsViz module
PyGearsViz is a python3 Anari AI PyGears architecture visualization tool.
For more information see README.md or visit:
https://github.com/vladimirtomic/anari-ai
"""
import graphviz
from pygears.core.intf import Intf
from pygears.core.port import HDLProducer, HDLConsumer
def render_hierarchy_... |
from app.auth import auth_blueprint
from app import db
from app.models import User
from flask import render_template, redirect, url_for, flash
from app.auth.forms import (
RegisterForm,
LoginForm,
ChangePasswordForm,
ChangeUsernameForm,
RequestForgotPasswordForm,
ConfirmForgotPasswordForm,
R... |
# -*- coding: utf-8 eval: (yapf-mode 1) -*-
# February 24 2018, <NAME> <<EMAIL>>
#
# Copyright (c) 2018, Deutsche Telekom AG.
# 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 Licen... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from collections import defaultdict
from dataclasses import dataclass
from pytorch3d.implicit... |
"""
--- Day 18: Operation Order ---
As you look out the window and notice a heavily-forested continent slowly appear over the horizon, you are interrupted by the child sitting next to you. They're curious if you could help them with their math homework.
Unfortunately, it seems like this "math" follows different rules... |
import logging
from dbnd._core.configuration.environ_config import is_databand_enabled
from dbnd._core.constants import TaskType
from dbnd._core.current import current_task_run
from dbnd._core.decorator.dynamic_tasks import run_dynamic_task
from dbnd._core.decorator.schemed_result import FuncResultParameter
from dbnd.... |
"""
Interface to the functions of libdivsufsort
"""
import ctypes
from array import array
import warnings
import numpy as np
from .dll import libdivsufsort, libdivsufsort64
def _pointer_frombuffer(inp):
inp = (ctypes.c_uint8 * len(inp)).from_buffer(inp)
return ctypes.byref(inp)
_SIGNED_TO_UNSIGNED = {
... |
# Copyright 2018 Google 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 writing,... |
# coding: utf-8
# # Basic Libraries
# In[1]:
import matplotlib.image as mi
import matplotlib.pyplot as plt
import numpy as np
# These are some basic libraries which have been used.
# # Reading Image
# In[2]:
img=mi.imread('Image/rabbit.png')
plt.imshow(img)
plt.show()
img.shape
# This is where we are reading ... |
import atexit
import functools
from pyspark import SparkConf, SparkContext
import six
import sys
import os
from stolos.plugins import api, log_and_raise, TasksConfigBaseMapping
from . import log
def receive_kwargs_as_dict(func):
"""A decorator that recieves a dict and passes the kwargs to wrapped func.
It's ... |
# -*- coding: utf-8 -*- #
# Copyright 2019 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 requir... |
import os
import random
import tempfile
import pytest
import teek
SMILEY_PATH = os.path.join(
os.path.dirname(os.path.abspath(__file__)), 'data', 'smiley.gif')
def test_width_and_height():
image = teek.Image(file=SMILEY_PATH)
assert image.width == 32
assert image.height == 32
# tests that use th... |
from __future__ import print_function
import os
import sys
import json
import datetime
import operator
from flask import Flask, url_for, redirect, \
render_template, session, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager, login_required, login_user, \
log... |
# 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... |
import os
import pandas as pd
import multiprocessing
from tqdm import tqdm
from itertools import permutations
from rdkit import Chem
import torch
import sklearn
import dgl
import dgl.backend as F
from dgl.data.utils import save_graphs, load_graphs
def combine_reactants(reactant, reagent):
if str(reagent) == 'nan... |
import sys
import json
from PyQt5.QtWidgets import QApplication, QTreeWidgetItem
from PyQt5.QtGui import QIcon
from PyQt5.QtCore import QProcess, pyqtSignal, QObject
from PyQt5 import uic
import subprocess
form, base = uic.loadUiType("ui\\runner.ui")
CTEST = r"C:\Program Files\CMake\bin\ctest.exe"
de... |
import json
import pandas as pd
import plotly
import plotly.graph_objs as go
from flask import Flask, render_template, request
app = Flask(__name__)
data = pd.read_csv("items.csv")
data=data.drop([0,1,3,17,18],axis=0)
data=data.sort_values(by=['product_price'])
new_data=data[0:5]
DVDs=new_data.iloc[:,0]
Prices=new_... |
#/usr/bin/env python
# encoding: utf-8
import numpy as np
from scipy import linalg
def bounds(lats, lons, cycles, lat_min, lat_max, lon_min, lon_max, cycle_min, cycle_max):
"""
Given bounds calculates indices of points and cycles within the bounds
lats, lons, cycles are array-like objects of latitude,... |
"""
==================================
Bayesian optimization with `skopt`
==================================
<NAME>, <NAME> July 2016.
Reformatted by <NAME> 2020
.. currentmodule:: skopt
Problem statement
-----------------
We are interested in solving
.. math::
x^* = arg \min_x f(x)
under the constraints that... |
# -*- coding: utf-8 -*-
# @Time : 2021-12-16 1:03 p.m.
# @Author : <NAME>
# @FileName: Zeiss.py
# @Software: PyCharm
import pydicom
import numpy as np
import glob
from OssiviewBufferReader import OssiviewBufferReader
from os.path import join, isfile
from pydicom.uid import generate_uid
from skimage.filters impor... |
#
# Copyright The NOMAD Authors.
#
# This file is part of NOMAD.
# See https://nomad-lab.eu for further info.
#
# 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/lic... |
import random
import array
import time
import os
def clear():
os.system('cls' if os.name=='nt' else 'clear')
print("*"*100)
print("*"*44+" P W - G E N "+"*"*43)
print("*"*100)
return(" ")
MAX_LEN = 12
DIGITS = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
LOCASE_CHARACTERS... |
# source: https://stackoverflow.com/q/11736560
# https://stackoverflow.com/q/17697352
# https://doc.qt.io/qt-5/modelview.html
import sys
import numpy as np
from collections import OrderedDict as odict
#from PyQt5 import QtGui, QtCore
from panta_rhei.gui.Qt import QtGui, QtCore, QtWidgets
# données à représenter
my_ar... |
# Copyright 2016 Google, 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 writing, ... |
import datetime
import bs4
import flask
import freezegun
import pytest
from flask import url_for
from flask_saml2.exceptions import CannotHandleAssertion
from flask_saml2.utils import utcnow
from .base import SamlTestCase, User
class TestEndToEnd(SamlTestCase):
"""
Test the SP and IdP as a user/browser, go... |
#This is the code for single-view pcd generation. We generate 20 single-view pcds
#taken one scane using generated camera posision (args.camera_position)
import open3d as o3d
from numpy.linalg import inv
import scipy.io as sio
import numpy as np
import os
import re
import argparse
def farthest_point_sample(point, npo... |
from api.packets import *
from api.properties import *
from api.entity import Entity, Player
from api.vehicle import Vehicle
from threading import Thread
from multiprocessing import Process, Queue
import pygame
from copy import deepcopy
import util
def onTickGenerateWorld(game, deltaTime, tick):
"""
Event Ho... |
import cv2 as cv
import numpy as np
def sharpen(src):
blured = cv.blur(src, (1, 80)) # 横向和纵向的模糊程度
cv.imshow("blured", blured)
# kernel = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]], np.float32)
# kernel = np.array([[5, 5, 5], [-3, 0, -3], [-3, -3, -3]], np.float32)
# kernel = np.array... |
#<!--------------------------------------------------------------------------->
#<!-- ITU - IT University of Copenhagen -->
#<!-- SSS - Software and Systems Section -->
#<!-- SIGB - Introduction to Graphics and Image Analysis -->
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
nf model parameters calculation
calculate nf1, nf2 and Delta_P of a 2 coils edfa with internal VOA
from nf_min and nf_max inputs
'''
import numpy as np
from pathlib import Path
from gnpy.core.utils import lin2db, db2lin, load_json
GAIN_MIN_FIELD = "gain_min"
GAIN_MA... |
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
import re
import logging
from odoo import api, fields, models
from odoo.osv import expression
from odoo.exceptions import UserError
from psycopg2 import IntegrityError
from odoo.tools.translate import _
_logger = logging... |
import typing
from typing import Any, List, Dict, Union
from collections import OrderedDict
import os, sklearn
from sklearn.svm.classes import SVC
from d3m_metadata.container.numpy import ndarray as d3m_ndarray
from d3m_metadata import hyperparams, params, metadata as metadata_module, utils
from primitive_interfaces... |
import numpy as np
import random
from enum import Enum
""" Sign function which can be translated by given value. Used as
activation function for perceptron.
- Parameters:
- translation: breaking point for the function.
- Usage:
- Sign()(0.5)
- returns sign function for unipol... |
import zmq
import threading
import time
import random
from collections import defaultdict
import sys
import pickle
from follower_on_message import follower_message
from candidate_on_message import candidate_message
from leader_on_message import leader_message
from boards import memory_board
from config import cfg
from... |
import argparse
from .config_utils import boolean_string, _VERSION_
def get_default_target_tol(metric):
arr = dict()
arr['psnr_avg'] = 1
arr['ssim'] = 0.002
arr['vmaf'] = 0.2
arr['file_size_bytes'] = 200
return arr[metric]
def get_default_target_arr(metric):
arr = dict()
if metric =... |
class Node():
def __init__(self, data):
"""Create Node
Arguments:
data {data} -- data reference to tree
"""
self.left = None
self.data = data
self.parent = None
self.rigth = None
class BinaryTree():
"""Create a Binary Tree
Re... |
"""
Copyright Snap Inc. 2021. This sample code is made available by Snap Inc. for informational purposes only.
No license, whether implied or otherwise, is granted in or to such code (including any rights to copy, modify,
publish, distribute and/or commercialize such code), unless you have entered into a separate agree... |
# ROS1 Lifecycle - A library implementing the ROS2 lifecycle for ROS1
#
# Copyright 2016,2017 <NAME> GmbH
#
# 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... |
"""
Get runnable regions by divide N region alone the reference.
Author: <NAME>
Date: 2018-09-07
"""
import sys
import argparse
def get_fasta_size_from_faifile(infile):
"""
Get chromosome size from .fai file
.fai format:
chr1 248956422 112 70 71
chr2 242193529 252513167 70 71
chr3... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
from typing import Any, Dict, List
import logging
import torch
from detectron2.config import CfgNode
from lib.torch_utils.solver.lr_scheduler import flat_and_anneal_lr_scheduler
from lib.torch_utils.solver.optimize import _get_optimize... |
import numpy as np
#### CAUTION ####
def _step_gamma(step, gamma):
"""Update gamma parameter for use inside of continuous proximal operator.
Every proximal operator for a function with a continuous parameter,
e.g. gamma ||x||_1, needs to update that parameter to account for the
stepsize of the algorit... |
import logging
from bs4 import BeautifulSoup
from google.appengine.api import urlfetch
from models import Ranking, Team, Week, User, Poll
from application.notifications import email
from application.views import BaseView
class PollCronView(BaseView):
url = None
level = None
poll = None
sport = N... |
import numpy as np
from functools import lru_cache
class Weights(object):
def __init__(self, mean, std, sample_size, zeros=0, is_count=True):
super(Weights, self).__init__()
self.mean = mean
self.std = std
self.sample_size = sample_size
# Count metrics require positive int... |
#!/usr/bin/env python3
# See: https://github.com/pr3d4t0r/COVIDvu/blob/master/LICENSE
# vim: set fileencoding=utf-8:
from covidvu.visualize import plotTimeSeries
from covidvu.visualize import plotTimeSeriesInteractive
from covidvu.visualize import plotPrediction
from covidvu.visualize import plotDataAndPredictionsWith... |
import enum
WEEK = 8
POWERPLAYID = 763682731270995969
teamNicknames = {
'Boston': 'Bruins',
'Montreal': 'Canadiens',
'Toronto': 'Maple Leafs',
'New York': 'Rangers',
'Philadelphia': 'Flyers',
'Pittsburgh': 'Penguins',
'Detroit': 'Red Wings',
'Columbus': 'Blue Jackets',
'St. Louis':... |
import numpy as np
from datetime import datetime
import os
import subprocess
import time
import tensorflow as tf
import traceback
import argparse
from data.feeder import Feeder
from hparams import hparams, hparams_debug_string
from models import create_model
from utils import infolog, ValueWindow
from utils.text im... |
import pygame
import random
import math
from pygame import mixer
# initialize pygame
pygame.init()
# create screen
screen = pygame.display.set_mode((800, 600))
# background
background = pygame.image.load("img/bg-image.png")
# background music
# mixer.music.load("bg-audio.mp3")
# mixer.music.play(-1)... |
# 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... |
#!/usr/bin/env python
from lib.constants import *
def get_string_variations(string, prefix_postfix_option, acronyms_only_option):
#Names are not case sensitive
string = string.lower()
#Remove junk chars that can't be in the bucket name, e.g & , "
names = remove_junk_chars(string)
#All all sorts o... |
from abc import abstractmethod
from typing import List, NoReturn, Type
from frico.bitstring import BitString
from frico.parsers import BCDParser, FlagParser, RegisterParser
from frico.typing import RegisterState
from .states import (
Alarm1ConfigState,
Alarm2ConfigState,
AlarmConfigState,
DayConfigSta... |
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