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import unittest
from datetime import datetime
from botocore.stub import Stubber
from freezegun import freeze_time
from datahub.ingestion.api.common import PipelineContext
from datahub.ingestion.source.glue import GlueSource, GlueSourceConfig, get_column_type
from datahub.ingestion.source.metadata_common import Metada... |
import torch
import torch.nn.functional as F
def mm_normalize(x, min=0, max=1):
x_min = x.min()
x_max = x.max()
x_range = x_max - x_min
x_z = (x - x_min) / x_range
x_out = x_z * (max - min) + min
return x_out
def rand_range(size, min, max):
return torch.rand(size)*(max-min)+min
def ran... |
import os
import unittest
import numpy as np
import h5py as h5
from pandas.util.testing import assert_frame_equal
from ifcb.tests.utils import withfile, test_dir
from ifcb.data.h5utils import hdf2pd, hdfopen
from ifcb.data.adc import AdcFile
from ifcb.data.roi import RoiFile
from ifcb.data.hdr import parse_hdr_file
... |
import logging
import os
from collections import defaultdict
from ke.utils.gpu_selector import get_available_gpu
from ke.utils.hparams import Hparams
from ke.utils.logger import logging_config
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2'}
def test(model_name, data_set, _tqdm=True):
from ke.... |
# -*- coding: utf-8 -*-
#
# Copyright 2015 Canonical Ltd.
#
# Authors:
# <NAME> <<EMAIL>>
#
try:
from StringIO import StringIO
except Exception:
from io import StringIO
import os
import shutil
import tempfile
import unittest
from mock import patch
from charmhelpers.core.unitdata import Storage, HookData, kv... |
# -*- coding: utf-8 -*-
"""
Created on sat Nov 21 18:09:37 2020
@author: Jalaj
"""
"""
A Recommender System model based on the Collaborative filtering concepts.
An Item-Item based collaborative filtering is used to find similar items which then
is used to predict rating a user might give to a mo... |
import decimal
from hypothesis import given
from hypothesis import strategies as st
import pytest
from eth_utils.currency import MAX_WEI, MIN_WEI, from_wei, to_wei, units
@given(
amount_in_wei=st.integers(min_value=MIN_WEI, max_value=MAX_WEI),
intermediate_unit=st.sampled_from(tuple(units.keys())),
)
def te... |
import math
from drafting.geometry.edge import Edge
from fontTools.misc.arrayTools import sectRect, unionRect
MINYISMAXY = False
#https://stackoverflow.com/questions/20677795/how-do-i-compute-the-intersection-point-of-two-lines
def line_intersection(line1, line2):
xdiff = (line1[0][0] - line1[1][0], line2[0][0]... |
import heapq
def get_moves():
return [(0, 1), (1, 0), (0, -1), (-1, 0)]
def update_snake_tail(snake_tail, position):
new_snake_tail = snake_tail.copy()
if snake_tail:
new_snake_tail.popleft()
new_snake_tail.append((position[0] * 51, position[1] * 51))
return new_snake_tail
class PlanSt... |
from functools import reduce
from operator import ior
from typing import List, Optional
from qtpy.QtCore import Qt
from qtpy.QtWidgets import (
QDockWidget,
QFrame,
QHBoxLayout,
QLabel,
QPushButton,
QVBoxLayout,
QWidget,
)
from .utils import combine_widgets, qt_signals_blocked
class QtVi... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.views.generic.list import ListView
from django.views.generic.detail import DetailView
from django.db.models import Q, Prefetch
from django.db.models.functions import Substr, Upper
from django.contrib.staticfiles.templatetags.staticfiles... |
import objects
import logging
import sqlite3
import threading
import json
import serverprotocol
import sqlite3
import base64
import socket
tileset = []
SCODE_NEEDAUTH = 0
SCODE_BANNED = 1
SCODE_BADAUTH = 2
SCODE_BADREG = 3
class TileType(object):
def __init__(self, sprite="nulltile", functions=()):
sel... |
import numpy as np
import pandas as pd
import random
import os
from sentence_transformers import SentenceTransformer, util
import torch
from torch import nn
from torch.backends import cudnn
from MultipleFieldsNet import MultipleFieldsNet
import argparse
DEVICE = torch.device("cuda") if torch.cuda.is_available() else t... |
import numpy as np
import scipy as sp
import scipy.ndimage as ndimage
import math
from skimage import exposure,filters
from matplotlib import pyplot as plt
import cv2
import matplotlib.pyplot as plt
from skimage.transform import hough_circle, hough_circle_peaks,hough_ellipse
from skimage.feature import canny
from skim... |
##########################################################################
#
# pgAdmin 4 - PostgreSQL Tools
#
# Copyright (C) 2013 - 2020, The pgAdmin Development Team
# This software is released under the PostgreSQL Licence
#
##########################################################################
""" Implements Ut... |
#!/usr/bin/en python
import os
import sys
import glob
import json
import numpy as np
import pandas as pd
from lxml import objectify
def read_xml_sidecar(filepath):
"""
Read a CMTK xml sidecar file.
Returns
=======
lxml.objectify
"""
abs_path = os.path.abspath(filepath)
with open(abs_p... |
import argparse
import datetime
import multiprocessing
import os
import pathlib
import pickle
import shutil
import sys
from wrfhydropy.core.ensemble_tools import mute
import yaml
def parallel_update_job(arg_dict):
# This function currently does 2 things
# 1) if 'n_hours': is in the arg_dict: if extends an exi... |
import sys
from geom2d import Vector
def generate_baltimore_structure(
spans: int,
span: float, height: float,
cross_sec: float, young: float,
node_load: Vector
):
"""
Generates and prints to the standard output a Baltimore truss
structure with the given number of spans, s... |
# source:https://github.com/zhuogege1943/dgc/blob/439fde259c/layers.py
# arxiv:https://arxiv.org/abs/2007.04242
import torch
import torch.nn as nn
import torch.nn.functional as F
class DynamicMultiHeadConv(nn.Module):
global_progress = 0.0
def __init__(self, in_channels, out_channels, kernel_size, stride=1,
... |
import os
from AlphaGo.training.reinforcement_policy_trainer import \
run_training, _make_training_pair, BatchedReinforcementLearningSGD, log_loss
import unittest
import numpy as np
import numpy.testing as npt
import keras.backend as K
from AlphaGo.models.policy import CNNPolicy
from AlphaGo.go import GameState
c... |
import utils
import directories
import timer
from collections import defaultdict
import numpy as np
import evaluation
from collections import Counter
class Document:
def __init__(self, did, mentions, gold, mention_to_gold):
self.did = did
self.mentions = mentions
self.gold = gold
s... |
import argparse
import os
import sys
import urlparse
import jinja2
import requests
import yaml
credentials = 'your_zendesk_email', '<PASSWORD>'
zendesk = 'https://your_subdomain.zendesk.com'
language = 'some_locale'
def ensuredir(dir_name):
try:
os.makedirs(dir_name)
except OSError:
if not o... |
# convenience wrapper for urllib2 & friends
import cookielib
import json
import urllib
import urllib2
import urlparse
import re
from urllib import quote, quote_plus as _quote_plus
from lxml import etree, html
from bs4 import BeautifulSoup
# used in plugins that import this
from urllib2 import URLError, HTTPError
u... |
# coding: utf-8
import os
import itertools
import torch
from tqdm import tqdm
import numpy as np
import toolz as tz
import napari
from napari.qt import thread_worker
from skimage.exposure import rescale_intensity
from . import unet
from . import watershed as ws
u_state_fn = os.path.join(
os.path.dirname(__fi... |
"""
Code based on: https://github.com/coreylynch/async-rl/blob/master/atari_environment.py
"""
"""
The MIT License (MIT)
Copyright (c) 2016 <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 t... |
"""
Apple Push Notification Service
Documentation is available on the iOS Developer Library:
https://developer.apple.com/library/content/documentation/NetworkingInternet/Conceptual/RemoteNotificationsPG/APNSOverview.html
"""
import time
from apns2 import client as apns2_client
from apns2 import credentials as apns2_c... |
import torch
from copy import deepcopy
import os
from tensorboardX import SummaryWriter
class Callback(object):
"""
Abstract base class used to build new callbacks.
"""
def __init__(self):
self.trainer = None
self.estimator = None
self.metrics_collection = None
... |
# project: fuzzprj
# Copyright (C) 6/25/18 - 6:54 PM
# Author: bbrighttaer
import numpy as np
import tensorflow as tf
import gym
import matplotlib.pyplot as plt
import keras.backend as K
import fuzzrl.core.ga.schedule as sch
import fuzzrl.core.plot.analysis as ana
import random
# registers the environment to use the ... |
import json
from pathlib import Path
import numpy as np
import tensorflow as tf
from PIL import Image
from tqdm import tqdm
tfe = tf.contrib.eager
tf.enable_eager_execution()
def prepare_cifar(src_dir, dst_dir, n_train=50_000):
src_dir = Path(src_dir)
bin_paths = sorted(list(src_dir.glob('*.bin')))
dst_... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Filename : DeleteTiebaFatie.py
# @Author : QCHighing
# @Date : 2018/06/12 0012 08:06
# @Site : https://github.com/QCHighing
# @Software : PyCharm
import requests
import re
import test
# 个人账户配置
# 在此处增加账号cookie和百度ID，以实现自动登录
cookie = ''
user_name = '' # 如张三
# ... |
# -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/Communication
Release: DSTU2
Version: 1.0.2
Revision: 7202
"""
from typing import Any, Dict
from typing import List as ListType
from pydantic import Field, root_validator
from . import fhirtypes
from .backboneelement import BackboneElement
f... |
import json
import cv2
from skimage import util
import random
import os
import argparse
import logging
import numpy as np
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description='Perform Data Augmentation')
parser.add_argument('-i', '--img',... |
from spefit import BinnedNLL, ChargeContainer, SiPMModifiedPoisson, minimize_with_iminuit, UnbinnedNLL
from sstcam_sandbox.d201202_tutorial_material import poi, matched_voltage, nsb
from CHECLabPy.core.io import HDF5Reader, HDF5Writer
from sstcam_sandbox import get_data, get_plot
import numpy as np
from numpy.polynomia... |
import pytest
@pytest.fixture
def c(w3, get_contract):
with open('examples/stock/company.vy') as f:
contract_code = f.read()
contract = get_contract(contract_code, *[w3.eth.accounts[0], 1000, 10**6])
return contract
def test_overbuy(w3, c, assert_tx_failed):
# If all the stock has been b... |
import argparse
import os
from neurAD.pytorch.examples.utils import save_params, get_timestamp
from NN import Optimus
import torch
from losses import loss
from datasets import PointCloudDataset
from torch.utils.data import DataLoader
from models import pointnet_classifier_git0, pointnet_classifier_git1, pointne... |
import conf
import errors
from api import get, post, delete, put, AdminApi, API_ALL, API_CABINET, request_api_type
from model import News, Customer, MessageTemplate
from model import display, autocommit
from api.admin.role import TokenManager, TokenId
from api.check_params import check_params
from api.validator import ... |
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 4 11:01:16 2015
@author: hehu
"""
import matplotlib.pyplot as plt
import numpy as np
from sklearn.neighbors import KNeighborsClassifier
from sklearn.lda import LDA
from sklearn.svm import SVC, LinearSVC
from sklearn.linear_model import LogisticRegression
from sklearn.na... |
import json
import subprocess
from pathlib import Path
import luigi
from luigi.util import inherits, requires
from luigi.contrib.sqla import SQLAlchemyTarget
import pipeline.models.db_manager
from ..tools import tools
from .targets import TargetList
from .helpers import meets_requirements, is_inscope
from ..models.ta... |
import qgate.model as model
from .runtime_operator import Observable, Gate, ControlledGate, Reset, Prob, Decohere
from .runtime_operator import Observer
from .rop_executor import RopExecutor
from .value_store import ValueStoreSetter
import numpy.random as np_random
class ValueObserver(Observer) :
def __init__(self... |
import threading
from robocorp_ls_core.protocols import IEndPoint, IDirCache, IProgressReporter
from contextlib import contextmanager
from typing import Optional, Iterator
from robocorp_ls_core.robotframework_log import get_logger
from robocorp_ls_core.basic import implements
log = get_logger(__name__)
def _next_i... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
Name: Reformat dna
Author: <NAME> (<EMAIL>)
Description:
Does a reformat of a given file into format fasta.
Details:
If a line starts with symbol '>' it is taken as a start of a new sequence
Arguments:
Script takes at least one argument - name of the input file
If seco... |
from __future__ import print_function
import logging
import os
import sys
import traceback
try:
_debug_env = int(os.environ.get("DEBUG"))
except:
_debug_env = 0
try:
_nested_env = int(os.environ.get("LVL"))
except:
_nested_env = 0
os.environ["LVL"] = str(_nested_env + 1)
class Core(object):
LOG_... |
# Copyright 2019 Xanadu Quantum Technologies Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agre... |
import math
class _AbstractEvent:
name = "Generic MIDI Event"
def __init__(self, tick):
self._tick = tick
@property
def tick(self):
return self._tick
def __cmp__(self, other):
return self._tick - other._tick
def __baserepr__(self, keys=[]):
keys = ['tick'] + ... |
from Note import Pitch, Note
from enum import Enum
from utils import parse_num_frac, raiseError
from copy import copy, deepcopy
class ChordType:
def __init__(self, name: str, symbol: str, semitones: tuple):
self.semitones: tuple = semitones
self.type: str = symbol
self.name: str = name
... |
from __future__ import annotations
from copy import deepcopy
from dataclasses import dataclass
from typing import Dict, List, Tuple
import vigorish.database as db
from vigorish.data.metrics.pitchfx.pitchfx_metrics import PitchFxMetrics
from vigorish.enums import PitchType
PitchFxByPitchTypeResults = Tuple[PitchFxMet... |
import os
import glob
import pyregion
import numpy as np
import argparse
import subprocess
import logging
logger = logging.getLogger(__name__)
def link_overwrite(src, dst):
if os.path.islink(dst):
logger.info("Unlinking pre-existing sym link {}".format(dst))
os.unlink(dst)
logger.info("Linkin... |
import os, sys
import torch
def read_policy(filename, section='init', debug=False, verbose=print):
if not os.path.isfile(filename):
verbose("file no exist: %s" % filename)
return []
policies = []
attr = None
valid = False
found = False # found policy for the section
with open... |
#!/usr/bin/env python
"""
CLI for the .gbk plotting tool that supports specification of which colours to assign to features, how
long the lines of features should be, and the spacings between features and lines.
Specify feature:colour pairs with comma-seperated values. For example:
-c 'membrane:(1.0,1.0,1.0),terminat... |
#!/usr/bin/env python
# coding=utf-8
from __future__ import print_function
import os
import sys
import imp
import optparse
import logging
import inspect
import socket
import time
import traceback
from multiprocessing import Process, Event
from six import binary_type
from six import b as bytes
# Python 2.6 compat
if ... |
import os
import pytest
import time
from django.core.files.base import ContentFile
from django.core.files.storage import default_storage
from django.utils.translation import gettext as _
from pretix.presale.style import regenerate_css
from pretix.presale.style import regenerate_css
from ..utils import screenshot
@... |
import argparse
import collections
import datetime
import json
import os
import logging
import itertools
import time
import _jsonnet
import attr
import numpy as np
import torch
import wandb
from tensor2struct.commands import train
from tensor2struct.training import maml
from tensor2struct.utils import registry, rand... |
"""Functions to check the status of an existing game on BGA."""
import datetime
import logging
from logging.handlers import RotatingFileHandler
from bga_account import BGAAccount
from bga_game_list import get_game_list
from bga_game_list import update_games_cache
from creds_iface import get_discord_id
from utils impor... |
#!/usr/bin/env python3
#
# Copyright (c) 2018 Institute for Basic Science
#
# 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 u... |
import logging, sys
from flask import Flask
from flask import request
from flask import g
from flask_httpauth import HTTPBasicAuth
from aldap import Aldap
from cache import Cache
from os import environ
# --- Logging --------------------------------------------------------------------
loglevel_map = { 'DEBUG': logging.... |
# encoding: utf-8
# -*- test-case-name: IPython.kernel.test.test_pendingdeferred -*-
"""Classes to manage pending Deferreds.
A pending deferred is a deferred that may or may not have fired. This module
is useful for taking a class whose methods return deferreds and wrapping it to
provide API that keeps track of thos... |
import ray
from typing import List, Tuple, Union, Any, Dict, Callable, Optional
from ray.experimental.workflow import workflow_context
from ray.experimental.workflow import serialization_context
from ray.experimental.workflow.common import (
RRef, Workflow, StepID, WorkflowOutputType, WorkflowInputTuple)
from ray.... |
# calculate tracklengths and recoil spectra induced by WIMP scattering for one sort of nuclei in a mineral
# results saved in "Data/Tracklengths_recoilrates"
import numpy as np
import matplotlib.pyplot as plt
import scipy.special as sp
import scipy.integrate as integrate
from scipy.interpolate import interp1d
... |
# Copyright 2018, 2019, 2020 CNRS - Airbus SAS
# Author: <NAME>, <NAME>, and <NAME>
#
# 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 l... |
import pytz
import datetime
from collections import OrderedDict
from django.db import models
from django.db.models import Q
from django.utils import timezone
from django.core.exceptions import SuspiciousOperation
from rest_framework import serializers
from perftracker.models.hw_farm_node import HwFarmNodeModel, HwFa... |
"""
==========================
Model Complexity Influence
==========================
Demonstrate how model complexity influences both prediction accuracy and
computational performance.
The dataset is the Boston Housing dataset (resp. 20 Newsgroups) for
regression (resp. classification).
For each class of models we m... |
#!/usr/bin/python
# Copyright (c) 2020, 2021 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
# Copyright 2016 <NAME>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... |
#!/usr/bin/env python
# Copyright (C) 2013 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... |
'''
Created on Oct, 2017
@author: hugo
'''
import re, string
import numpy as np
from rapidfuzz import fuzz, process
from .utils import dump_ndarray, tokenize
from core import config
question_word_list = 'who, when, what, where, how, which, why, whom, whose'.split(', ')
def find_parent(x, tree, conn='<-'):
roo... |
import math
from itertools import combinations
from typing import Optional
from cvat.apps.engine.ddln.geometry import Line, Point, get_angle_between
ANGLE_THRESHOLD = 5 * math.pi / 180
ERROR_THRESHOLD = 30
class Runway:
def __init__(
self,
id: str,
left_line: Optional[Line],
righ... |
#!/usr/bin/env python
################################################################################
# The Sandbox Libraries (Python) - Sample Script #
# #
# Copyright (C) 2009-2013 <NAME>, <<EMAIL>> ... |
import pyttsx3
import datetime
import speech_recognition as sr
import pyaudio
import wikipedia
import webbrowser
import subprocess
import re
import urllib
from urllib.request import urlopen
from bs4 import BeautifulSoup as soup
import os
import psutil
import sys
import calendar
import weather
import ap... |
import git
import PyInquirer
import in_place
import pathlib
import subprocess
import datetime
root = pathlib.Path().absolute()
def isRootFolder():
return root[-10:] == "codecharta"
def confirm(message, printMessage):
confirm = [{
"type": "confirm",
"name": "confirmed",
"message": m... |
import shutil
import logging
import zipfile
import pathlib
from pprint import pprint # noqa
from normality import safe_filename, stringify
from followthemoney import model
from servicelayer.archive.util import ensure_path
from ingestors.ingestor import Ingestor
from ingestors.support.xml import XMLSupport
from ingest... |
# Copyright (c) 2019 Microsoft Corporation
# Distributed under the MIT software license
from ..data import ClassHistogram, Marginal
from ..perf import ROC, PR, RegressionPerf
from ..blackbox import LimeTabular
from ..blackbox import ShapKernel
from ..blackbox import MorrisSensitivity
from ..blackbox import PartialDep... |
"""
This module provides a name_to_constructor dict for all models/estimators in scikit-learn, plus a couple test models and
error handling functions
"""
import warnings
import inspect
import sklearn.base
import sklearn.utils.testing
from sklearn.externals import joblib
import numpy as np
import xgboost as xgb
impor... |
"""
mongo
-----
Tools for working with MongoDB.
@author: <NAME>
@author: <NAME>
"""
import argparse
from nordlys.config import MONGO_DB, MONGO_HOST
from pymongo import MongoClient
class Mongo(object):
"""Manages the MongoDB connection and operations."""
ID_FIELD = "_id"
def __init__(self, host, db, co... |
# -*- coding: utf-8 -*-
#
# Copyright © 2009- The Spyder Development Team
# Licensed under the terms of the MIT License
# (see spyderlib/__init__.py for details)
"""External System Shell widget: execute terminal in a separate process"""
# Standard library imports
import os
import sys
# Third party import... |
import os
from sys import exit
from .log import get_logger
logger = get_logger()
def get_workspace():
from ROOT import RooWorkspace
return RooWorkspace('workspace')
def filter_content(lines):
lineno = 0
for line in lines:
line = line.strip()
if line and not line.startswith('#'):
... |
from django.views import generic
from django.contrib.auth.mixins import LoginRequiredMixin
from django.urls import reverse_lazy
from django.shortcuts import reverse
from django.conf import settings
from django.http.response import JsonResponse, HttpResponse
from django.views.decorators.csrf import csrf_exempt
from djan... |
#!/usr/bin/env python
# -*- coding: utf-8
# Copyright 2017-2019 The FIAAS Authors
#
# 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
#
# Unle... |
# -*- coding: utf-8 -*-
import glob
import os
import pandas as pd
from glassimaging.dataloading.niftidataset import NiftiDataset
import logging
import json
import nibabel as nib
import numpy as np
from torch.utils.data import Dataset
class TissueDataloader(NiftiDataset):
available_sequences = ['flair', 't1', 't... |
from ..general_imports import *
from math import radians
def is_3_by_3(U):
"""
U is a [3 x 3] matrix
"""
return isinstance(U, np.ndarray) and U.shape is not (3, 3)
def pos_def_sym(U):
"""
check if U is [3 x 3] positive definite and symmetric
"""
dU = (U - U.T).reshape(9)
# return i... |
#!/usr/bin/env python3
import subprocess as sp
import tempfile, os, json
from pathlib import Path
from copy import deepcopy
import yaml
import click
import neurodocker as ndr
# default setting for specific neurodocker keys,
# this value will not have to be set in the parameters.yml, but can be overwritten
DEFAULT_INST... |
import argparse
import os
from pathlib import Path
from typing import Dict, Any, List
import pytorch_lightning as pl
import torch
import yaml
from albumentations.core.serialization import from_dict
from iglovikov_helper_functions.config_parsing.utils import object_from_dict
from iglovikov_helper_functions.dl.pytorch.l... |
import torch
import torch.nn as nn
import torch.nn.functional as F
targetLabels = []
predsMade = []
def accuracy(outputs, labels):
"""
Calculate model accuracy
* :param outputs(torch.tensor): Pytorch weights tensor
* :param labels(list(str)): List of known labels
:return (torch.tensor): P... |
import asyncio
import pprint
import sqlite3
from typing import Dict, List, Tuple, Union
from dependencies import Injector
from loguru import logger
from telethon import TelegramClient, events
from telethon.errors import UserIsBlockedError
from telethon.events import NewMessage
from telethon.tl.types import User
from ... |
# make a basic 3D unet architecture ... simple 3D vanilla unet ...
from torch import nn
from .additions import ProjectExciteLayer, GridAttention, DeformConv3D
import torch
# idea is to iterate through all our data. Split patients by Disease site
# save .csv image path, with center of mass of GTV...
# then for that sli... |
from tkinter import *
from plyer import notification
import psutil
import os
btn_state = True
#functions
def cpucheck():
cpu = psutil.cpu_percent()
lbl1.config(text=str(cpu)+'%')
lbl1.after(1000, cpucheck)
def ramcheck():
per_ram = psutil.virtual_memory().percent
lbl2.config(text=s... |
import random
from collections import Counter
import pytest
from agents.DQN_agents.DQN_HER import DQN_HER
from agents.DQN_agents.DDQN import DDQN
from agents.DQN_agents.DDQN_With_Prioritised_Experience_Replay import DDQN_With_Prioritised_Experience_Replay
from agents.DQN_agents.DQN_With_Fixed_Q_Targets import DQN_Wit... |
#!/usr/bin/python3
'''
[ RN2483 Library ]
Python library for RN2483 LoRaWAN transceiver
This implementation is meant to be used on Raspberry Pi.
[-------------------------------------------------------]
Version:
[0.1]:
+ Changes:
- Completed command set dict... |
import json
import os
from dataclasses import dataclass
import aiohttp
from bs4 import BeautifulSoup
import config
from checking.marks.compares import file_compares, get_discipline_objs_from_diff
import utils
from utils.json_files import JsonFile
from utils.notify_to_user import SendToTelegram
from utils.make_request... |
# -*- coding: utf-8 -*-
import os
import pytest
from mock import Mock
from six.moves import urllib
from gtts.tts import gTTS, gTTSError
from gtts.langs import _main_langs
from gtts.lang import _extra_langs
# Testing all languages takes some time.
# Set TEST_LANGS envvar to choose languages to test.
# * 'main': Langu... |
"""
2021 Day 17
https://adventofcode.com/2021/day/17
"""
from typing import Dict, Set, Tuple
import aocd # type: ignore
def read_target(text: str) -> Tuple[int, int, int, int]:
parts = [
[int(val) for val in part[2:].split("..")] for part in text[13:].split(", ")
]
return parts[0][0], parts[0][1... |
import numpy as np
import math
def data_regularize(data, type="spherical", divs=10):
limits = np.array([
[min(data[:, 0]), max(data[:, 0])],
[min(data[:, 1]), max(data[:, 1])],
[min(data[:, 2]), max(data[:, 2])]])
regularized = []
if type == "cubic": # take mean from poi... |
from ...utils import human_time, profile_lookup
from datetime import datetime
import pytz
from itertools import groupby
def average(timestamp, timestep, inputs):
if len(inputs) == 1:
vals = [x[2] for x in next(iter(inputs.values()))]
if vals:
return [(timestamp, timestep, sum(vals) / ... |
import random
import string
import unittest
from cn_v2.manager.watcher import *
CONFIG_FILE = "../config/test.yaml"
class TestCourseManager(unittest.TestCase):
def test_run(self):
m = CourseManager(CONFIG_FILE, BaseManager.DA)
m.update_course_collection()
def test_update_course_collection(... |
from math import isclose
import pytest
from sympy import symbols, nsimplify, integrate
from rcdesign.is456.stressblock import LSMStressBlock
from rcdesign.is456 import ecy, ecu
def a_p(z1: float, z2: float, k: float) -> float:
zcy = k - 3 / 7
return (z2 ** 2 - z1 ** 2) / zcy - (z2 ** 3 - z1 ** 3) / (3 * zcy ... |
#!/usr/bin/env python
# This is a standalone git server implementation in python
import argparse
from argparse import RawTextHelpFormatter
import hashlib
import logging
import os
import re
import shutil
import sys
import zipfile
if sys.version_info[0] == 2:
print('Not supported on Python 2.x')
sys.exit(1)
# ... |
"""
Plugin annotation and partitioning. This determines according to a set of
rules which plugin to use for which operation.
"""
from __future__ import absolute_import, division, print_function
from collections import defaultdict
import datashape
from ..ir import FuncArg
from ...strategy import CKERNEL
from ....io.s... |
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 22 10:43:29 2016
@author: rob
"""
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix
sess = tf.InteractiveSession()
##Load the data
#data_train = np.genfromtxt('ModelingTrain.csv',delimiter=',',skip_he... |
# -*- coding: utf-8 -*-
import random
kadinisimler=["Nuray","Nehi̇r","Hali̇me","Ayşenur","Ayten","Rabi̇a","Duygu","Gülay","Ni̇sanur","Necla","Ebru","Arzu",
"Sudenaz","Derya","Edanur","Seda","Si̇bel","Emel","Damla","İlayda","Hava",
"Meli̇ke","Sevi̇m","Fatma","Zehra","Nurten","Hacer","Türkan","Gamze","Ayşe",
"Sema",... |
import numpy as np
import pandas as pd
import os
from os import listdir
from os.path import isfile, join, getsize, dirname
from collections import Counter, OrderedDict
import shutil
import warnings
import hickle
import h5py
import pickle
import random
import feather
import time
import gc
import matplotlib.pyplot as plt... |
import numpy as np
import scipy.stats as sps
from skimage.transform import rotate
from skimage.morphology import disk, opening, closing
def get_max_proy(img, theta=False, circle=False, f1=np.sum, f2=np.sum):
cvs = []
img = np.array(img, copy=True).T
if (theta is False): theta = np.linspace(0., 180., 181, ... |
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