text stringlengths 3.07k 12.6k |
|---|
import numpy as np
from typing import Tuple
from IMLearn.metalearners.adaboost import AdaBoost
from IMLearn.learners.classifiers import DecisionStump
from utils import *
import plotly.graph_objects as go
from plotly.subplots import make_subplots
def generate_data(n: int, noise_ratio: float) -> Tuple[np.ndarray, np.nda... |
from django.db import models
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, PermissionsMixin
from django.core.validators import MinValueValidator, MaxValueValidator
from django.conf import settings
from django.shortcuts import get_object_or_404
from rest_framework.exceptions import Validation... |
#!/bin/python
# flake8: noqa: E501
'''Script to generate documentation for this project.'''
import argparse
import glob
import json
import os
import shutil
import sys
from functools import cache
from pathlib import Path
import pdoc
from jsmin import jsmin as minify_js
from packaging import version
from pdoc.render_hel... |
"""This file contains function which help in parsing GPML file."""
#oggpnosn
#hkhr
import networkx as nx
from bs4 import BeautifulSoup
from itertools import permutations
def get_node_information(data_node):
"""
It parses nodes in GPML xml file.
:param data_node: XML node of the type "data"
:return: no... |
from pylightnix import (Registry, RConfig, datahash, PYLIGHTNIX_NAMEPAT, mkdref,
mkrref, trimhash, encode, dagroots, List,
DRef, Callable)
from tests.imports import (given, assume, example, note, settings, text,
decimals, integers, rmtree, char... |
from flask import Flask, request, jsonify
from flask_cors import CORS
from circuit import Circuit
from results import Results
from features import Features
from booleanExpression import BooleanFunction
from qiskit.quantum_info.operators.predicates import is_unitary_matrix
from math import log2
# configu... |
# imports
# base
import operator
import json
from collections import Counter
# third party
import pandas as pd
import dash
import plotly.figure_factory as ff
# project
from .layout import retrieve_layout
# NON-CALLBACK FUNCTIONS REQUIRED FOR THE APP
# ----------------------------------------------------------------... |
from sqlalchemy import (
create_engine as ce,
Column,
Integer,
String,
Float,
ForeignKey,
Table
)
from sqlalchemy.ext.declarative import declarative_base, declared_attr
from sqlalchemy.orm import sessionmaker, relationship
# DEFINE DATABASE ENGINE
engine = ce('sqlite:///dat')
Base = declarative_base()
Session =... |
import subprocess
import argparse
import json
import shutil
import os
import glob
import signal
import sys
ops_cfg_path = "config/operators.json"
def signal_handler(sig, frame):
print('Aborted')
os.chdir(owd)
sys.exit(0)
def dump_func_name(func):
def echo_func(*func_args, **func_kwargs):
pr... |
"""
preprocessing twitter dataset
"""
import time
import os
from os import path
from os.path import join, expanduser as expand
import json
import re
import csv
from collections import defaultdict
import argparse
import nltk
from preprocessing import twitter_airlines
all_companies = 'AppleSupport,Amazon,Uber_Support... |
from django.db import models
from django.utils import timezone
from django.db.models.signals import post_save
from django.dispatch import receiver
from datetime import datetime, timedelta
from django.db.models import Count, Sum
from django.db.models.functions import TruncDate
from django.template.defaultfilters import ... |
# MIT License
#
# Copyright (c) 2021 <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, merge, publi... |
import yaml
try:
yaml.warnings({'YAMLLoadWarning': False}) # not all versions of YAML support this
except AttributeError:
pass
from .builders.jupyter import JupyterBuilder
from .builders.jupyterpdf import JupyterPDFBuilder
from .directive.jupyter import jupyter_node
from .directive.jupyter import Jupyter as ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2014-2015 clowwindy
#
# 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 r... |
from splinter import Browser
from bs4 import BeautifulSoup
import pandas as pd
import time
def init_browser():
executable_path = {'executable_path': '/usr/local/bin/chromedriver'}
return Browser('chrome', **executable_path, headless=False)
def scrape():
browser = init_browser()
# Visit NASA
url = 'https://mar... |
'''Train CIFAR10 with PyTorch.'''
import torch, os
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
from torchvision import datasets
import torchvision
import torchvision.transforms as transforms
import os, glob, sys
import argparse
from models i... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
# ViewSets define the view behavior.
import logging
import os
import stat
import traceback
import tempfile
from collections import OrderedDict
from django.conf import settings
from django.contrib.sites.models import Site
from django.shortcuts import redirect
from django.... |
# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O... |
import pandas as pd
import numpy as np
from numpy import mean
from numpy import std
from numpy import NaN
from sklearn.datasets import make_regression
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import RepeatedKFold
from sklearn.model_selection import train_test_split
from sklearn... |
import re
import librosa
import numpy as np
import torch
from scipy.interpolate import interp1d
from sklearn.preprocessing import normalize
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
skeleton_line_pairs = [(0, 1, 'b'), (1, 2, 'darkred'), (2, 3, 'r'), (3, 4, 'orange'), (1, 5, 'darkgreen'... |
import cv2
def compare_ratio(src_img, template, ratio_list):
optimal_maxVal = 0
optimal_ratio = 0
optimal_x = 0
optimal_y = 0
optimal_w = 0
optimal_h = 0
temp_h, temp_w = template.shape[:2]
for ratio in ratio_list:
resize_w = int(temp_w*ratio)
resize_h = int(temp_h*rati... |
import onnxruntime
import numpy as np
import scipy.stats as stat
def onnx_to_model(net_file):
sess = onnxruntime.InferenceSession(net_file)
input_name = sess.get_inputs()[0].name
label_name = sess.get_outputs()[0].name
def out_model(X):
if len(X.shape)<=1:
logits= sess.run([label_n... |
# -*- coding: utf-8 -*-
import logging
import datetime
from mutagenerate.core import AmazonSource
import os
import random
import requests_cache
from optparse import OptionParser
from collections import Counter
from scrapers import NovaScraper, FipScraper, OuiScraper, NostalgieScraper, RadioparadiseScraper
from core.... |
# Core Packages
import streamlit as st
# Load EDA Packages
import pandas as pd
import numpy as np
# Load Data Viz packages
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
# Load Data
data = pd.read_csv("data/diabetes_data_upload.csv")
age_dist = pd.read_csv("data/freqdist_of_age_da... |
import discord
from discord.ext import commands, menus
from utils import config_var, MenuPages
import os
import inspect
import datetime
class LyricPageSource(menus.ListPageSource):
def __init__(self, title, url, thumbnail, data):
self.title = title
self.url = url
self.thumbnail = thumbnail... |
from lxml import etree
import requests
from prettytable import PrettyTable
import datetime
# 使用BeautifulSoup解析网页
from bs4 import BeautifulSoup
import json
import db_executor as executor
# 基金变动信息
# http://fundgz.1234567.com.cn/js/005585.js
# 基金基变动信息
# http://fund.eastmoney.com/005585.html
# 阶段涨幅 http://fundf10.eastmo... |
import types
import inspect
import functools
import random
import aot
import tvm
from tvm import relay
from tvm.relay.testing import mlp
from tvm.relay.testing import check_grad
from tvm.relay import transform
from tvm.relay.backend import interpreter
import numpy as np
def str_to_np_type(ty):
if ty == 'float32'... |
from __future__ import annotations
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
from warnings import warn
import jax
import jax.numpy as jnp
import matplotlib.pylab as plt
from jax import hessian, jacfwd, jit
from jax._src.scipy.optimize.minimize import OptimizeResults as OptimizeResultsJax
fr... |
# coding: utf-8
"""
Создание исходного корпуса Sociation.org
Выполняется в консоли. Код для ознакомления
"""
import os
from collections import Counter
from operator import itemgetter
from random import randint
import numpy as np
from gensim import corpora, models, similarities
class DictEncoder(object):
"""
В... |
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# plt.close("all")
CURRENT_DIRECTORY = Path(__file__).parent
def plot_01():
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()
ts.plot()
# Display plo... |
# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %% [markdown]
# # Postgresql Tests With Python
# In this jupyter notebook, I will be testing bulk insert, execute some queries on about 2 million rows of data, and save their execution times.
# %% [markdown]
# ## Import libraries
#... |
import numpy as np
from sklearn.base import BaseEstimator
from sklearn.base import RegressorMixin
from sklearn.metrics import mean_squared_error
from sklearn.utils.validation import check_array
from sklearn.utils.validation import check_random_state
from .algorithm import oneplus
from .algorithm import optimize
from .... |
# -*- coding:utf-8 -*-
#!/usr/bin/env python2
#
# Example to compare the faces in two images.
# <NAME>
# 2015/09/29
#
# Copyright 2015-2016 Carnegie Mellon University
#
# 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... |
# Copyright (c) 2021 Graphcore Ltd. 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... |
# flake8: noqa
from __future__ import annotations
# %%
# Écrire une fonction qui pour un entier entre 1 et 3999 retourne sa
# représentation sous forme de nombre romain.
# Rappel: I (1), V (5), X (10), L (50), C (100), D (500), M (1000)
def romain(n: int) -> str:
assert 1 <= n <= 3999
cumul = ""
whil... |
import os
from collections import OrderedDict
from datetime import datetime
import json
import re
import glob
import sys
import datetime
import logging
'''
# --------------------------------------------
# https://github.com/cszn
# https://github.com/xinntao/BasicSR
# --------------------------------------------
'''
... |
#
# Description:
# Utilities and rules concerning the actual fetch of artifacts and sub-artifacts and metadata.
#
load(":artifacts.bzl", "artifacts")
load(":globals.bzl", "DOWNLOAD_PREFIX", "PACKAGING_TYPE_FILE", "fetch_repo")
load(":packaging_type.bzl", "packaging_type")
load(":poms.bzl", "poms")
load(":utils.bzl", ... |
from flask import request, url_for
from flask_api import FlaskAPI, status, exceptions
from base64 import b64decode
from utils import constants
import tensorflow as tf
# build an array of labels from the labels file so we can translate the result of the network to a human readable label
with open(constants.root_dir +... |
#!/usr/bin/env python3
# coding=utf-8
import argparse
import datetime
import logging
import nagiosplugin
import pypuppetdb
import re
_log = logging.getLogger('nagiosplugin')
class ListContext(nagiosplugin.Context):
def __init__(self, name, text, state=nagiosplugin.state.Critical, result_cls=nagiosplugin.result.Res... |
import Adafruit_BBIO.GPIO as GPIO
import time
import cp437
#==============================================================================#
# Beaglebone Black script to interface with Noritake 8-bit Protocol display
#==============================================================================#
#
# Author: <NAME>... |
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
def rearrange(sample_volumes):
"""Rearranges sample information to group samples based on position in sublist. [[a1,b1,c1],[a2,b2,c2]] => [[a1,a2],[b1,b2],[c1,c2]]"""
component_volumes_rearranged = []
for i in range(len(sample_volumes[0... |
import numpy as np
import cv2
from matplotlib import pyplot as plt
from os import walk
import os
import random
import pdb
import pickle
from sklearn.mixture import GaussianMixture as GMM
from sklearn import preprocessing
from sklearn.ensemble import AdaBoostClassifier
from sklearn.pipeline import make_pipeline
from sk... |
import filecmp
import os
import socket
import sys
import tempfile
import time
from unittest import mock
import docker
import pytest
import schema
from docker_cp import cli
def docker_responsive():
client = docker.from_env()
try:
return client.ping()
except Exception:
return False
def i... |
import cv2
import plotly.express as px
import os
from tqdm import tqdm
import tensorflow_hub as hub
import tensorflow as tf
from PIL import Image
# For drawing onto the image.
import numpy as np
from PIL import Image
from PIL import ImageColor
from PIL import ImageDraw
from PIL import ImageFont
from PIL import ImageOp... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
SnapSearch.tests.test_client
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Tests SnapSearch.client
:author: `<NAME> <<EMAIL>>`_
:date: 2014/03/08
"""
__all__ = ['TestClientInit',
'TestClientMethods', ]
import os
import sys
try:
from . import _con... |
from __future__ import absolute_import
import re
import datetime
import ipaddress
from yamale.util import to_unicode
from .base import Validator
from .. import util
class Constraint(object):
keywords = {} # Keywords and types accepted by this constraint
is_active = False
def __init__(self, value_type, ... |
from graphics import *
import time
import random
chars='<KEY>'
i = 0
j = 0
k = 0
l=0
m=0
ix=250
jx=ix+150
kx=jx+150
lx=kx+150
mx=lx+150
points=0
def move(b,w):
time.sleep(0.05)
b.move(0, 10)
w.move(0, 10)
def destroy(i,x):
bow=Image(Point(30,10*i),'arrows.gif')
bow.draw(win)
... |
from mpi4py import MPI
import mpiunittest as unittest
import arrayimpl
def mkzeros(n):
import sys
if not hasattr(sys, 'pypy_version_info'):
return bytearray(n)
return b'\0' * n
def memzero(m):
try:
m[:] = 0
except IndexError: # cffi buffer
m[0:len(m)] = b'\0'*len(m)
class ... |
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
from transform.convert_bbox_format import BboxFormatConvert
from util.progress import interactive
def create_coco_annotations(image_id, boxes, labels, scores, gt=False):
if not hasattr(create_coco_annotations, "ann_id"):
create_coco_anno... |
from textblob import TextBlob
import tweepy
def filter(s):
a=s.split('@')
b=a[1].split(" ")
b.pop(0)
s1=" ".join(b)
a.pop(1)
s=" ".join(a)+" " +s1
return s
#Classificaation system key : daa64450905b79ff28e52174d39880d5f4216cab
#ml = mkl('daa64450905b79ff28e52174d39880d5f4216cab')
... |
# Copyright (c) <NAME> and Unlock contributors.
# All rights reserved.
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of ... |
# CV = Curriculum Vitae
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.core.validators import RegexValidator
from datetime import date, timedelta, datetime
from phonenumber_field.modelfields import PhoneNumberField
from utils.utils import capitalize
from utils.constant... |
# -*- coding: utf-8 -*-
# Copyright (c) 2018, <EMAIL> and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
import json
from frappe import _
class MaterialRequestsToPurchaseInvoicesManager(Document):
pass
... |
from .energy import get_events_energy
from .time import deadtime_correction, make_ingti_times, tarange, get_gti, gti_intersection, GTI
from .caldb import get_energycal, urdbkgsc
from scipy.interpolate import interp1d
import numpy as np
from functools import reduce
#import matplotlib.pyplot as plt
def stepsize(arr):
... |
# credits:
# https://github.com/pfnet-research/sngan_projection/blob/master/source/inception/inception_score_tf.py
# https://github.com/bioinf-jku/TTUR/blob/master/fid.py
# https://github.com/openai/improved-gan/pull/40/commits/0a09faccb45088695228bbf50435ee71e94eb2ce (bug fixing)
import os.path
import sys
import... |
#!/usr/bin/env python
#
# This code is part of the binding affinity prediction tools distribution
# and governed by its license. Please see the LICENSE file that should
# have been included as part of this package.
#
"""
Functions to execute freesasa and parse its output.
"""
from __future__ import print_function, d... |
import os
import numpy as np
import random
import keras
from keras.datasets import cifar10
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential, Model, model_from_json
from keras.layers import Dense, Dropout, Activation, Flatten, Input, Lambda, Conv2D, MaxPooling2D
from keras im... |
import numpy as np
import sklearn
from scipy.interpolate import interp1d
from scipy.stats import rankdata
import warnings
class AbsDiffTransformer(sklearn.base.TransformerMixin):
"""
Takes an array of sample pairs and returns the element-wise absolute difference.
Expects:
- X is of shape (n,f,2) ... |
#! /usr/bin/env python3
from typing import Type
from aiohttp import web
from maubot import Plugin, MessageEvent
from maubot.handlers import command, event, web as web_handler
from mautrix.types import EventType, TextMessageEventContent, MessageType, Format
from mautrix.util.config import BaseProxyConfig, ConfigUpdat... |
# -*- coding: utf-8 -*-
import graphene
from django.db import IntegrityError
from django.db.models import ProtectedError
from django.http import Http404
from rest_framework import serializers
from graphene import relay
from app.authorization.mixins import AuthMutation
from utils.graphql.types import ErrorType
from... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# vajra-apis documentation build configuration file, created by
# sphinx-quickstart on Wed Apr 26 11:45:22 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
#... |
# This file contains the following function(s): find_duplicates, getnoneditable, countsCDSedits
import pandas as pd
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
from check_CDS import remove_dup
def find_duplicates(df_all):
"""finds the count... |
import os
import sys
import time
import errno
import shutil
import zipfile
import argparse
import tempfile
import subprocess
try:
from urllib.request import urlretrieve
except ImportError:
# Support for Python 2.7
from urllib import urlretrieve
parser = argparse.ArgumentParser()
parser.add_argument("versi... |
# -*- coding: utf-8 -*-
import os
import telebot
import time
import random
import threading
from emoji import emojize
from telebot import types
from pymongo import MongoClient
import traceback
token = os.environ['TELEGRAM_TOKEN']
bot = telebot.TeleBot(token)
client=MongoClient(os.environ['database'])
db=client.dataw... |
import os
from os.path import isfile, join
from os import listdir
from pathlib import Path
class Util():
def toClassName(self, fileName):
#parts = fileName.split('.')
fileName = fileName.replace('-', '.')
parts = [p.capitalize() for p in fileName.split('.')]
return ''.join(parts)
... |
""" This module has functions for liquid layer detection.
"""
import numpy as np
import numpy.ma as ma
import scipy.signal
from cloudnetpy import utils
from cloudnetpy.constants import T0
def ind_base(dprof, p, dist, lim):
"""Finds base index of a peak in profile.
Return the lowermost index of profile where ... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import functools
def get_norm_layer(norm_type='group'):
"""Return a normalization layer
Parameters:
norm_type (str) -- the name of the normalization layer: batch | instance | none
For BatchNorm, we use learnable affine parameters a... |
import copy
import math
from threading import Thread, Condition, Lock
import time
from engine.geometry import calcs
from gui import draw
import gui
from gui.core import Drawable
import numpy as np
class SimManager:
def __init__(self):
self._lock = Condition(Lock())
self._simulator = None
... |
'''
Created on November 06, 2019
Function to determine which files have been modified after a given date
Returns a pandas DataFrame object
@author: pauladjata
'''
# import site-packages and modules
import glob
import os.path, time
import pandas as pd
import os
import datetime
import time
import r... |
#!/usr/bin/env python
# coding: utf-8
from __future__ import print_function, division, unicode_literals
import ctypes
import platform
import sys
import os
if platform.system() == "Windows":
DLL_PATH = "./Release/Lakaseg_lib.dll"
else:
DLL_PATH = "./liblakaseg.so"
directory_of_this_file = os.path.dirname(os.... |
import argparse
from datetime import datetime, timedelta
import json
import traceback
from uuid import UUID, uuid4
from bson import ObjectId
from motor import motor_tornado
from tornado import escape, gen, ioloop, web
class _JSONEncoder(json.JSONEncoder):
"""Custom JSON encoder."""
def default(self, obj):
... |
# -*- coding: utf-8 -*-
##########################################################################
# NSAp - Copyright (C) CEA, 2021
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
#... |
from __future__ import absolute_import, division, print_function, unicode_literals
__metaclass__ = type
import base64
import cv2
import numpy as np
import pickle
from tornado.ioloop import IOLoop, PeriodicCallback
from tornado import gen
from tornado.websocket import websocket_connect
from .data import squashCoords
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import cv2
import numpy as np
pix_width = 0.05
map_x_min = 0.0
map_x_max = 20.0
map_y_min = -20.0
map_y_max = 20.0
lim_z = -1.95
width = int((map_x_max-map_x_min)/pix_width)
height = int((map_y_max-map_y_min)/pix_width)
u_bias = int(np.abs(map_y_max)/(map_y_max-map_... |
#!/usr/bin/env pypy
from __future__ import print_function
import json
import os
import re
import sys
stdout = sys.stdout
sys.stdout = sys.stderr
# We use pypy so that dictionary order is preserved.
# pypy2 preserves dictionary order everywhere! Even for kwargs!
# A convenient docker container is provided if you just... |
# Based on github.com/lambci/docker-lambda/python2.7/run/runtime-mock.py version cf93693
from __future__ import print_function
import sys
import os
import random
import uuid
import time
import resource
import datetime
import json
# hijack stdout so it won't be taken by mistake
orig_stdout = os.fdopen(os.dup(1),"w")
os... |
import numpy as np
from scipy import integrate
from rastlib import proximity_rast_ds, create_mem_raster_on_ref, read_nanarray, pixel_size
def neff_sum_circular(area,crange1,psill1,crange2,psill2):
#short range variogram
c1 = psill1 # partial sill
a1 = crange1 # short correlation range
#long range va... |
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import pandas as pd
import os
import zipfile
import requests
import io
import re
import json
import math as mt
url = 'https://s3.amazonaws.com/weruns/forfun/Kickstarter/Kickstarter_2019-02-14T03_20_04_734Z.zip'
f = 'Kickstarter_2019-02-1... |
import dataclasses
import datetime
import json
import pprint
import typing
import pytz
import requests
SWITCH_STATUS_URL = "https://status.nic.ch/availability/service/json"
STATUSPAGE_BASE_URL = "https://api.statuspage.io/v1"
STATUSPAGE_API_KEY = ""
STATUSPAGE_PAGE_ID = ""
STATUSPAGE_COMPONENT_ID = ""
@dataclasses.... |
import os
import numpy as np
import matplotlib.pyplot as plt
from skimage.exposure import equalize_adapthist
from PIL import Image
from util import load_filters, get_boxes, draw_boxes, binary_dilation, gray2rgb, correlate, gray_dilation, min_box_size
# Thresholds
# heat_thresh = 0.695
# heat_thresh = 0.655
# heat_t... |
from django.shortcuts import render,reverse, get_object_or_404
from django.urls import reverse_lazy
from django.http import HttpResponse, JsonResponse
from django.views import generic
from rest_framework.views import APIView
from rest_framework.response import Response
from . import forms
from . import models
... |
import sqlite3
from com.nico.webapp.security_flask.password_hashing import password_security
forhobbies = []
def get_connection():
return sqlite3.connect('register.db')
def initdb():
conn = get_connection()
cur = conn.cursor()
create_register_sql = "CREATE TABLE IF NOT EXISTS register (name varchar ... |
'''
This module contains methods for training models with different loss functions.
'''
import torch
from torch.nn import functional as F
from torch import nn
from Losses.loss import cross_entropy, focal_loss, focal_loss_adaptive
from Losses.loss import mmce, mmce_weighted
from Losses.loss import brier_score
loss_fu... |
import asyncio
import multiprocessing
import os
import socket
import ujson as json
from email.utils import formatdate
from functools import partial
from http import HTTPStatus
import httptools
from jsonschema import Draft4Validator, ErrorTree
__version__ = '3.0.1'
class HTTPException(Exception):
def __init__(se... |
import argparse
import time
from os import path as osp
import numpy as np
import torch
import torch.nn.functional as F
import torch_geometric
import yaml
from tqdm import tqdm, trange
from hetsage.data import DataManager
from hetsage.model import Model
from hetsage.utils import (TB, flatten, init_random, print_metric... |
import numpy as np
from medpy.metric.binary import hd, dc, asd
def dice_coef(y_true, y_pred):
"""
:param y_true:
:param y_pred:
:return:
"""
y_true = y_true.flatten()
y_pred = y_pred.flatten()
intersection = np.sum(y_true * y_pred)
return (2. * intersection + 1.0) / (np.sum(y_true)... |
import asyncio
import logging
import functools
import time
import threading
from collections import OrderedDict
import numpy as np
from matplotlib.backends.qt_compat import QtCore
from bluesky.callbacks.mpl_plotting import QtAwareCallback
logger = logging.getLogger(__name__)
def catch_exceptions(fcn):
@functoo... |
from argparse import ArgumentParser
import tempfile
from better_exchook import *
import sys
PY2 = sys.version_info[0] == 2
if PY2:
from io import BytesIO as StringIO
else:
from io import StringIO
_IsGithubEnv = os.environ.get("GITHUB_ACTIONS") == "true"
def _fold_open(txt):
if _IsGithubEnv:
pri... |
import torch
from torch import nn
from torch.autograd import Function
# Inherit from Function
class LinearFunctionCustom(Function):
@staticmethod
def forward(ctx, input, weight, b_weights, bias=None):
ctx.save_for_backward(input, weight, b_weights, bias)
output = input.mm(weight.t())
i... |
import math
from typing import Callable
import geopandas as gpd
import pandas as pd
import shapely
from shapely.geometry import Polygon
from eolearn.core import EOPatch, EOTask, FeatureType, MapFeatureTask
from eolearn.io import VectorImportTask
from ..utils.geometry import merge_bboxes
class PrepareMRRTask(EOTask... |
"""
Accuracy measures
-----------------
.. autosummary::
:toctree: toctree/monitor
AccuracyArgmax
AccuracyEmbedding
"""
from abc import ABC
import torch
import torch.utils.data
from mighty.utils.var_online import MeanOnlineLabels
from mighty.utils.signal import compute_distance
def calc_accuracy(lab... |
from kubernetes import client, config
from os import listdir, path
import yaml
import re
import inflect
import urllib3
def initialize(params):
if "mode" not in params:
raise Exception("The Kubernetes plugin requires 'mode' to be set in the params.")
load_config(params)
def process(context, params):
... |
import numpy as np
import matplotlib.pyplot as plt
from typing import Tuple
from IMLearn.metalearners.adaboost import AdaBoost
# from IMLearn.learners.metalearners.adaboost import AdaBoost
from IMLearn.learners.classifiers import DecisionStump
from IMLearn.metrics import misclassification_error
from utils import *
impo... |
import math
from collections import namedtuple
import pandas as pd
from gensim.models import FastText
df = pd.read_csv('../data/hospital.csv')
def remove_nan(embed_vec:list):
# return the nan idx, and remove it jointly from two vectors
nan_list = []
for i,e in enumerate(embed_vec):
for j in e:
... |
"""
Checks for Adobe Fonts (formerly known as Typekit).
"""
import unicodedata
from fontbakery.callable import check
from fontbakery.fonts_profile import profile_factory
from fontbakery.message import Message, KEEP_ORIGINAL_MESSAGE
from fontbakery.profiles.universal import UNIVERSAL_PROFILE_CHECKS
from fontbakery.sect... |
# Module for evaluating performance of vad models,
# may also be run directly as a script
# Author: <NAME> 2021
import argparse
import numpy as np
import pandas as pd
from scipy.io import wavfile
from typing import Dict
from voxseg import utils
def print_confusion_matrix(scores: Dict[str,Dict[str,int]]) -> None:
... |
import datetime
import ipaddress
import re
from enum import Enum
from io import TextIOWrapper
from ipaddress import IPv4Network, IPv6Network
from typing import Union
class PolicyAction(Enum):
NXDOMAIN = "."
NODATA = "*."
PASSTHRU = "rpz-passthru."
TCP_ONLY = "rpz-tcp-only."
DROP = "rpz-drop."
... |
# -*- coding: utf-8 -*-
from decimal import Decimal
from datetime import date
from django.db.models import Q
from django.db import models
from django.utils.translation import ugettext_lazy
from dateutil.relativedelta import relativedelta
from dateutil.rrule import MONTHLY, YEARLY, DAILY
from ..constants import COST_T... |
#-*- coding: utf-8 -*-
'''
Created on 2016. 11. 19
Updated on 2016. 01. 09
'''
from __future__ import print_function
import os
import re
from utils import PrettyStringBuilder
from utils import Progress
import javalang
class Resource(object):
Stopwords = None
EngDictionary = None
@staticmethod
d... |
from typing import Dict, Any
from django.shortcuts import render, redirect
from django.http import HttpRequest
from ..middleware import authenticated
from datetime import datetime, timedelta
from ..utils import datetime_now_tz as now
from ..forms.lessons import (
LessonsByClassRoomForm,
AddLessonsForm, Lessons... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.