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# encoding: utf-8
# 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
# "Licens... |
"""
<NAME>
Section AF
CSE 163
Final Project
This file includes functions to construct a new data frame from
multiple files, build a regression decision tree, optimize the
tree/max tree depth based on the mean squared errors of training
and testing data vs. the max tree depth. This file answers my 3rd
research problem.
... |
import ctypes as ctypes
from ctypes import wintypes as wintypes
import os
import sys
kernel32 = ctypes.WinDLL('kernel32', use_last_error=True)
advapi32 = ctypes.WinDLL('advapi32', use_last_error=True)
ERROR_INVALID_FUNCTION = 0x0001
ERROR_FILE_NOT_FOUND = 0x0002
ERROR_PATH_NOT_FOUND = 0x0003
ERROR_ACCESS_DENI... |
# Copyright 2016 Euclidean Technologies Management LLC All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... |
from django.conf import settings
from django.core.cache import cache
from django.db import models
from django.utils import timezone
from django.utils.encoding import python_2_unicode_compatible, force_text
from django.utils.translation import ugettext_lazy as _
from operator import attrgetter
from .enums import (ZONE... |
import math
import numpy as np
# https://stackoverflow.com/questions/37674306/what-is-the-difference-between-same-and-valid-padding-in-tf-nn-max-pool-of-t
def pad_inputs(X, pad):
print(pad)
print("int(pad[0] // 2): ", int(pad[0] // 2))
return np.pad(X, ((0, 0), (int(pad[0] // 2), pad[0] - int(pad[0] // 2... |
#!/usr/bin/env python3
#-*-coding:utf-8-*-
import sqlite3
import sys
from findarray30code import ui, ui2
import re
from PyQt4 import QtGui, QtCore
import signal
signal.signal(signal.SIGINT, signal.SIG_DFL)
def table2list(table_tsv):
with open(table_tsv,'r',encoding='utf-16') as tsv:
code_list = []
... |
import config
import ccxt
import multiprocessing
from multiprocessing import Process, Pipe, Manager
import threading
import logging
import logging.handlers
import json
from copy import copy, deepcopy
import numpy as np
import schedule
from message import *
import os
import time
rootLogger = logging.getLogger('')
root... |
import torch
import numpy as np
import cv2
from pytorch_msssim import ssim
def torchPSNR(tar_img, prd_img):
imdff = torch.clamp(prd_img, 0, 1) - torch.clamp(tar_img, 0, 1)
rmse = (imdff**2).mean().sqrt()
ps = 20*torch.log10(1/rmse)
return ps
def torchSSIM(tar_img, prd_img):
return ssim(tar_img, pr... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
"""Commander for interacting with Google Drive"""
import sys
import os
import csv
import argparse
import re
from .drive.drive import Drive
from .drive.drive_api import DRIVE_READONLY, DRIVE_PER_FILE
from .sheets.sheets import Sheets
from .sheets.sheets_api import SHEET_FULL, SHEET_READONLY
BLUE = "\033[94m"
NOCOLOR =... |
from itertools import combinations
from django.db import models
from django.db.models import Q
from django.utils.translation import gettext_lazy as _
from embed_video.fields import EmbedVideoField
from unidecode import unidecode
from thiamsu.utils import get_youtube_id_from_url, translate_hanzi_to_hanlo
def _to_ali... |
# ann_train.py
#
# Trains a neural net on a toy problem to generate a grid of zeros and
# ones. Training data is located in the tdata.txt file and is arranged
# as a 50x50 grid. For training, inputs are normalized on the interval
# [-1.0, 1.0]. The number of training pairs is 50 * 50 = 2500. There is
# a single output ... |
import time , http.client , re , sys
class url_lib:
def __init__(self,url="url str"):
if url[:4] == "http":
self.url=url
else:
self.url=""
self.Headers={"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.10... |
import logging
from hashlib import md5
from .bam_io import BamAlignmentReader as Reader
from .cluster import BaseCluster
from .cluster_base import (
SampleNameMixin,
ToGffMixin
)
from .dumb_consensus import dumb_consensus
from .tag_softclip import get_softclipped_portion
logger = logging.getLogger(__name__)
... |
"""
adapted from original CREPE and FCN-f0 repositories at:
https://github.com/marl/crepe
https://github.com/ardaillon/FCN-f0/
original articles:
"CREPE: A Convolutional Representation for Pitch Estimation", 2018, (Kim, <NAME>; <NAME>; <NAME>; Bello, <NAME>)
"Fully-Convolutional Network for Pitch Estimation of Speech ... |
import os
import subprocess
import sys
import time
import PIL.Image as Im
import pyocr
import pyocr.builders
from PIL import Image as Im
from wand.image import Image
VALIDITY = [".jpg",".gif",".png",".tga",".tif",".bmp", ".pdf"]
FNULL = open(os.devnull, 'w') #Open file in write mode to The file path of the null devi... |
# coding=utf-8
# Copyright 2021 TF-Transformers Authors and The TensorFlow Authors.
# 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/licens... |
from django.http import HttpResponse, Http404, HttpResponseRedirect
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from ..models import GradingProcess, GradingAssignment, GradingContainer, Assignment, AssignmentItem, Assignme... |
import time
import argparse
import caffe2
from caffe2.python import (
dyndep,
brew,
core,
model_helper,
net_drawer,
optimizer,
workspace,
)
from caffe2.python.modeling import initializers
import os
import sys
import numpy as np
parser = argparse.ArgumentParser(description='FC Example')
... |
""" Handy utility functions for various fMRI procedures"""
import json
import os
from datetime import datetime
import re
import pandas as pd
import subprocess
import sys
sys.path.append('../')
from ..utils import convert_file
def is_motion_corrected(fn):
with open(fn) as f:
metadata = json.load(f)
... |
import io
import sys
from pathlib import Path
from typing import Dict, Optional, List, Iterable
import yaml
from labml import logger
from labml.logger import Text
from labml_remote.configs import Configs
from labml_remote.execute import UIMode
from labml_remote.server import Server, SERVERS
class Job:
def __ini... |
# Copyright 2018, Oath Inc
# Licensed under the terms of the Apache 2.0 license. See LICENSE file in
# https://github.com/yahoo/ironic-secureboot-driver
import base64
import json
import os
from oslo_utils import fileutils
import requests
from ironic.common import boot_devices
from ironic.common import exception as i... |
from pyorbit.classes.common import np, dummy_import_4args
from pyorbit.models.abstract_model import AbstractModel
try:
import celerite
import autograd.numpy as np
from celerite.terms import Term
except:
import numpy as np
Term = dummy_import_4args
# This class was written by <NAME> for his paper:
... |
# -*- coding: utf-8 -*-
"""
hog
~~~
Sending multiple HTTP requests ON GREEN thread.
:copyright: (c) 2014-2019 by <NAME>.
:license: MIT, see LICENSE for more details.
"""
from six import itervalues, iteritems
from six.moves import xrange
import eventlet
eventlet.monkey_patch()
import click
import re
import request... |
# -*- coding:utf-8 -*-
"""
:author: <NAME>
:copyright: © 2019 <NAME>
:time: 2020/3/29 15:39
"""
import os
from pathlib import Path
from typing import List
import arrow
from flask import current_app, Response
from lxml import html
from app.response.maker import make_response_ok, make_response_error
from ap... |
from django.db import models
from django.conf import settings
from django.contrib.auth.models import (
AbstractBaseUser,
PermissionsMixin,
UserManager,
Group,
)
from django.contrib.auth.validators import (
ASCIIUsernameValidator,
UnicodeUsernameValidator
)
from django.contrib.staticfiles.templat... |
import numpy as np
class Board:
def __init__(self):
"""A list of lists with dicts inside is the model being used for the playing grid.
This model allows us to use [row] and [col] when iterating through the playing grid.
Player hands are a list of dict, no list has been nested inside the li... |
import os
import time
import requests
import io
import hashlib
from PIL import Image
from selenium import webdriver
import signal
from glob import glob
##############
# Parameters
##############
number_of_images = 400
GET_IMAGE_TIMEOUT = 2
SLEEP_BETWEEN_INTERACTIONS = 0.1
SLEEP_BEFORE_MORE = 5
IMAGE_QUALITY = 85
... |
"""
Classes for reading/writing and other functions
on haplotypes
TODO:
* transform
* deal with LA and STRs
* writephenotypes
* documentation and type hinting
* tests
* Compare simulation output to GCTA
* fail gracefully on assertions - we need ERROR utility
"""
import re
import gzip
from pathlib import Path
imp... |
# written by kylesim
import re
import pickle
from sklearn.preprocessing import StandardScaler, RobustScaler, QuantileTransformer
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
from sklearn.metrics import classification_report, confusion_matrix, accuracy_score, precision_score, recall_score... |
#!python3
import numpy as np
import matplotlib.pyplot as plt
import yaml
#######################################################################
# Import yaml fit parameters to analyse
#######################################################################
# Define filenames via timestamp
name10kHz = '20181004T124047... |
from django.db import models
from systems.models import OperatingSystem, ServerModel
from datetime import datetime, timedelta, date
from django.db.models.query import QuerySet
from settings import USER_SYSTEM_ALLOWED_DELETE, FROM_EMAIL_ADDRESS, UNAUTHORIZED_EMAIL_ADDRESS, BUG_URL
from django.core.exceptions import Perm... |
import os
import numpy as np
import pybullet as p
from utils.text import TextFlag, log
YAML_CONFIG_PATH = os.path.join(os.path.dirname(__file__), '..', '..', 'config', 'objects.yaml')
class Haptic:
MASS_FRICTION = "mass_friction"
RESTITUTION = "restitution"
SPRING_DAMPING_STIFFNESS = "spring_damping_st... |
import pymysql
import socket
import time
import numpy as np
from Cryptodome.Cipher import AES
from Cryptodome import Random
import rsa
import pymysql
def sendData(serversocket, stringData,key=None,delay=None):
print('ssssssssssssssssss')
if key!=None:
iv = Random.new().read(AES.block_size)
mycip... |
import json
import os
import datetime
from menu import Requests
from menu import Utility as Util
from datetime import timedelta
import logging
def foods_to_json(food_array, day):
foods = []
for food_name in food_array:
food = {
"name": food_name,
"rating": 0,
"amou... |
#!/usr/bin/env python
import requests
from config import *
from models import Task, User
import os
@app.route('/api/post_task', methods=['POST'])
@auth.login_required
def post_task():
# записывать исполнителям и принимать исполнителей ?
strtask = request.json.get('task')
username = request.json.get('user... |
import webapp2
import os
from google.appengine.ext.webapp import template
import jinja2
class MainPage(webapp2.RequestHandler):
def get(self):
self.response.write(open("mainpage.html").read())
class LevelOne(webapp2.RequestHandler):
page_header = """
<!doctype html>
<html>
<head>
... |
# -*- coding: utf-8 -*-
#
# Copyright (c) 2020~2999 - Cologler <<EMAIL>>
# ----------
#
# ----------
from typing import *
from collections.abc import MutableMapping, ItemsView, ValuesView
from sqlite3 import Connection, connect, Cursor
from contextlib import closing
import json
from tinydb.storages import Storage
fr... |
################
#
# Deep Flow Prediction - <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME> (TUM)
#
# CNN setup and data normalization
#
################
import torch
import torch.nn as nn
import torch.nn.functional as F
def weights_init(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
... |
# -*- coding: utf-8 -*-
"""
@Time: 2021/1/14 12:28
@Author: LizzieDeng
@File: design_KF.py
@Description:
"""
import matplotlib.pyplot as plt
from plotGraph import plotgraph
import plotly.graph_objects as go
import numpy as np
# ### 水箱实例代码实现
def plot_result(t, y_list, y_label):
fig = go.Figure(layout=dict(width=60... |
#!/usr/bin/env python
"""Secondary mirror focus control.
History:
2004-01-09 ROwen first draft
2004-02-23 ROwen Modified to play cmdDone/cmdFailed for commands.
2004-03-11 ROwen Bug fix: assumed the secondary mirror would start moving
within 10 seconds (a poor assumption if others are movi... |
import re
from typing import Dict, Text, Any, List, Union, Optional
import logging
from rasa_sdk import Tracker, Action
from rasa_sdk.executor import CollectingDispatcher
from rasa_sdk.forms import FormAction, REQUESTED_SLOT
from rasa_sdk.events import (
SlotSet,
EventType,
ActionExecuted,
SessionStarte... |
from discord.ext import commands
import discord
alias = {
"upgrade": ["upg", "up", "u", "upgrade"],
"challenge": ["ch", "c", "challenge"],
"research": ["r", "res", "research"],
"lineage": ["lineage", "line", "l"],
"artifact": ["artifact", "art", "a"],
"bloodline": ["bloodline", "bl", "b"],
... |
#!/usr/bin/python
from __future__ import division
import math
import os
import sys
import plotly
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.tri as tri
import matplotlib.pyplot as plt
import plotly.figure_factory as ff
def cart2bary(arg=None,wd=None):
X,Y,Z,E,I = [],[],[],[],[]
... |
# coding=utf-8
# Copyright 2021 The Google Research 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
#
# Unless required by applicab... |
#!/usr/bin/env python
# pip3 install csv
"""refreshdata.py: Refresh Data in a system from any given source (database, csv, xml file)."""
from gi.types import nothing
from orca import input_event
from zim import datetimetz
__author__ = "<NAME>"
__copyright_ = "Copyright 2020"
__credits__ = ["<NAME>"]
__lice... |
#!/usr/bin/env python3
# Copyright 2021 <NAME>, <NAME>, <NAME>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
import os, cv2, random
import numpy as np
from keras.layers import Input, Dense
from keras.optimizers import RMSprop
from keras.callbacks import Callback, EarlyStopping, TensorBoard
from keras.applications.vgg16 import VGG16
from keras.models import Model
from keras.utils import np_utils
import tensorflow as tf
from ... |
import pytest
import numpy as np
from easydict import EasyDict
from dizoo.smac.envs import SMACEnv
MOVE_EAST = 4
MOVE_WEST = 5
def automation(env, n_agents):
actions = {"me": [], "opponent": []}
for agent_id in range(n_agents):
avail_actions = env.get_avail_agent_actions(agent_id, is_opponent=False)... |
from utils.torch_utils import *
# bins = (8.0, 15.0)
bins = (4.5, 8.0, 15.0)
# bins = tuple(np.arange(4.5, 15.5, 0.5).tolist())
t_bins = torch.tensor((0,) + bins, dtype=torch.float, device=device)
weight_bins = (8.0, 15.0)
weights = (20.5, 5.4, 1.0)
def quantize_distance_matrix(dmat, bins=bins, use_ordinal=False):
... |
# standard
from urllib.request import urlopen
from tempfile import NamedTemporaryFile
import copy
import sys
import unittest
import xml.etree.ElementTree as et
# internal
from encyclopedia.templates import Unindexed
class XML(Unindexed):
'''
Forest syntax combined with an elementTree XML implementation.
To... |
from crianza.errors import CompileError
from crianza.interpreter import Machine, isconstant, isstring, isbool, isnumber
from crianza import instructions
from crianza import optimizer
EMBEDDED_PUSH_TAG = "embedded_push"
def make_embedded_push(value):
"""Returns a closure that pushed the given value onto a Machine'... |
"""
Example script for data preparation.
If you use this code, please cite the following paper.
<NAME> and <NAME>
SPHARM-Net: Spherical Harmonics-based Convolution for Cortical Parcellation.
IEEE Transactions on Medical Imaging. 2022
Copyright 2022 <NAME>
Licensed under the Apache License, Version 2.0 (... |
import sys
import random
import time
from datetime import datetime, timedelta
from pymongo import MongoClient, ASCENDING
from sample import *
QUERY_NUM = 20
LOG = "PLAN" # DEBUG | PLAN | INFO
INSERT_DOC = True
TEST_QUERY_NAME = True
TEST_QUERY_FILE_EXTENSTION = True
TEST_QUERY_TAG... |
import os
import tempfile
from contextlib import contextmanager
from urllib.parse import urlparse
from google.cloud import storage
_GOOGLE_STORAGE_SCHEMA = "gs"
## Things that can go here ##
class GoogleStorageEnvironmentError(EnvironmentError): pass
class GoogleStorageValueError(ValueError): pass
class GoogleStora... |
import numpy as np
from typing import Tuple, Union
# Rotation routines are heavily based on <NAME>'s transformations.py
# axis sequences for Euler angles
_NEXT_AXIS = [1, 2, 0, 1]
# map axes strings to/from tuples of inner axis, parity, repetition, frame
_AXES2TUPLE = {
'sxyz': (0, 0, 0, 0), 'sxyx': (0, 0, 1, 0), ... |
import json
from ..util.serialization import remove_dict_prefix
from ..util.hash import sha256
from . import transaction
from database import Database
class Block(object):
""" Class representing a Block instance
This class will serve as an interphase to handle blocks. Whenever
we need to deal ... |
variables = {'pi':'fart','why':'yes'}
keywords = ['print','exit','var','atom','help','all','import']
imports = []
def lexer(text):
tokens = ['SOF']
tok = ""
string = ""
name = ''
iS = False
digits = '0123456789'
literals = "= '#()"
operands = '+-*/'
jENM = False
iN = False
n... |
# -*- coding: utf-8 -*-
from metrics.mobilenetv2 import mobilenetv2
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.transforms as transforms
import torchvision
from misc.utils import denorm
def load_model(model, model_path):
pretrained_dict = torch.load(model_path,
... |
import numpy as np
from collections import namedtuple
import random
QTransition = namedtuple("QTransition", "state action reward next_state terminal")
SarsaTransition = namedtuple("QTransition", "state action reward next_state next_action terminal")
class AbstractApproximateAgent():
r""" Base class for the approx... |
import numpy as __np__
import matplotlib.pyplot as __plt__
from matplotlib import cm as __cm__
def __apershow__(obj, extent):
if extent != 0:
obj = -abs(obj)
__plt__.imshow(obj, extent=[-extent / 2, extent / 2, -extent / 2, extent / 2])
__plt__.set_cmap('Greys')
__plt__.show()
... |
import torch
import torch.nn as nn
from torch.nn import functional as F
def conv3x3_relu(in_ch, out_ch, rate=1):
conv3x3_relu = nn.Sequential(nn.Conv2d(in_ch,
out_ch,
kernel_size=3,
s... |
# ref: https://github.com/ndrplz/ConvLSTM_pytorch/blob/master/convlstm.py
import torch
import torch.nn as nn
class ConvLSTMCell(nn.Module):
def __init__(self, input_size, input_dim, hidden_dim, kernel_size, bias):
"""
Initialize ConvLSTM cell.
Parameters
----------
input_si... |
"""
Copyright 2021 Objectiv B.V.
"""
import pytest
# Any import from modelhub initializes all the types, do not remove
from modelhub import __version__
from tests_modelhub.data_and_utils.utils import get_objectiv_dataframe_test
from tests.functional.bach.test_data_and_utils import assert_equals_data
from uuid import U... |
"""models.py - This file contains the class definitions for the Datastore
entities used by the Game. Because these classes are also regular Python
classes they can include methods (such as 'to_form' and 'new_game')."""
from protorpc import messages
from google.appengine.ext import ndb
COMMANDS = ['rock', 'paper', 'sci... |
import torch
from torch import nn, optim
from torchvision import models
import numpy as np
from collections import OrderedDict
def create_model(arch, hidden_units , prob_dropout):
# Create model
model = eval("models." + arch + "(pretrained=True)")
model.epochs = 0
# To prevent backprop through p... |
import requests
import json
from rantlib.core_application.storage import read_data_file
from os import walk
from pathlib import Path
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QFont
from PyQt5.QtWidgets import QWidgetItem
from pathlib import Path
class Theme:
def __init__(self):
self.title = None... |
from __future__ import division, print_function
import os
import gc
import cv2
import pandas as pd
import numpy as np
import tensorflow as tf
# Flask libraries
# Flask utils
from flask import Flask, redirect, url_for, request, render_template
from werkzeug.utils import secure_filename
from tqdm import tqdm
from PIL ... |
"""Food101データセット."""
# default packages
import json
import logging
import tarfile
import urllib.request as request
import typing as t
# third party packages
import pandas as pd
import pytorch_lightning as pl
import sklearn.model_selection as model_selection
import sklearn.preprocessing as preprocessing
import torch
im... |
import pyodbc
from loguru import logger
from neo4j import GraphDatabase
from pathlib import Path
import configparser
def create_object_nodes(session, cursor, database):
logger.info("Creating object nodes and relationships to schema")
query = read_sql_file('Objects')
dependencies = cursor.execute(query)
... |
import multiprocessing
import os
import sys
import logging
from functools import partial
logger = logging.getLogger(__name__)
import click
import pandas as pd
import numpy as np
sys.path.append("..")
from utils.sequence_utils import SequenceCollectingUtils, SequenceType
from utils.parallelization_service import Para... |
"""Iterative sampler framework.
The framework is designed in two layers.
1. A driver class `IterativeSampler` that has an internal state `SamplerState`
2. Worker classes based on `SamplerStep`
The sampler steps (subclasses of `SamplerStep`) implement a `_step` method
that receives a `SamplerState` and returns a modif... |
from typing import List, Tuple
import torch
from torch import nn
from models.ssd_mobilenet_v1 import SSD, MobileNetV1Base, Block
from models.anchor_generator import create_ssd_anchors
from models.utils import decode_boxes
class PredictionHead(nn.Module):
def __init__(self, in_channels, num_classes, num_anchors)... |
# Copyright 2014-2016 MongoDB, 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 writin... |
import numpy as np
import pandas as pd
from bs4 import BeautifulSoup
import nltk
from nltk import wordpunct_tokenize
from nltk.stem.snowball import EnglishStemmer
from nltk.corpus import stopwords
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import TruncatedSVD
from sklearn.pip... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2018 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... |
"""
Credit for demo setup: Gusto development team
"""
from gusto import *
from firedrake import IcosahedralSphereMesh, cos, sin, SpatialCoordinate, \
FunctionSpace, parameters
from firedrake.petsc import PETSc
from argparse import ArgumentParser
from hybridization import HybridizedShallowWaterSolver
import sys
day... |
import os
import pickle
import re
import torch
import torch.nn as nn
from hyperbox.mutables.spaces import OperationSpace
# from .rep_ops import *
from hyperbox.networks.repnas.rep_ops import *
from hyperbox.networks.repnas.utils import *
from hyperbox.networks.base_nas_network import BaseNASNetwork
from hyperbox.util... |
import pytest
from qualg.toolbox import simplify
from qualg.scalars import DeltaFunction
from qualg.fock_state import FockOp, FockOpProduct, BaseFockState
def test_fock_op_product():
aw = FockOp('a', 'w')
av = FockOp('a', 'v')
print(FockOpProduct([aw, av]))
print(FockOpProduct([aw, av, aw]))
as... |
"""
Main script for xfcsdashboard.
plot_data -> entry point for xfcs metadata
plot_csv -> cli entry point
"""
import os
import pandas as pd
import plotly.graph_objs as go
from plotly.offline import plot
from xfcsdashboard import csv_data
# ---------------------------------------------------------------------------... |
import re
import numpy as np
import pandas as pd
import ops.filenames
from ops.constants import *
def parse_czi_export(f):
pat = '.*_s(\d+)c(\d+)m(\d+)_ORG.tif'
scene, channel, m = re.findall(pat, f)[0]
return {WELL: int(scene), CHANNEL: int(channel), SITE: int(m) - 1}
def make_czi_file_table(f... |
#!/usr/bin/env python
# encoding=utf-8
#codeby 道长且阻
#email @ydhcui/QQ664284092
from lib import requests
import re
import socket
import urllib.parse as urlparse
import settings
from core.cmsfind import CmsFind
CMS = CmsFind(settings.DATAPATH + '/cmsdata.json')
####################################
class BaseWe... |
from typing import Dict, Tuple
op_rules = {
'+': (int,int),
'-': (int,int),
'*': (int,int),
'/': (int,int),
'+.': (float,float),
'-.': (float,float),
'*.': (float,float),
'/.': (float,float),
'>': (int,bool),
'=': (int,bool),
'>.': (float,bool),
'=.': (float,bool),
... |
""" Global dataset information functions :
- explore (func): Identify variables types and gives global information about the dataset (NA, low variance features)
- low variance features (func): identify features with low variance
- get_features_type (func): get all features per type
"""
from sklearn.preprocessing im... |
import pandas as pd
import numpy as np
import scipy.stats as sci
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
def sum_sq_and_dof_factors(df, target_col, column):
ss = 0
grand_mean = np.mean(df[target_col])
dof = len(list(df[column].unique())) - 1
for item in list(df[column].... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#https://qiita.com/ReoNagai/items/4c5c2c2b1175f898c0d6
import numpy as np
import gym
import random
from collections import deque
from keras.layers import Input, Activation, Dense, Flatten, RepeatVector, Reshape
from keras.layers.convolutional import Conv2D
from keras.mod... |
import os
import re
import math
from random import choice, randint, choices
from backstage.models import College, Major, AdmClass, Student,\
Teacher, ClassRoom, MajorPlan
from scoreManagement.models import Course, Teaching
from django.db.utils import IntegrityError
from .make_encoding import make_encode
class Coll... |
import Open
import json
import copy
import os
from progress.bar import Bar
import numpy as np
os.chdir('..')
class SPS(object):
def __init__(self):
self.per = 0
self.perCopy = 0
self.Load()
self.subjectList = Open.GetSubject().Names()
def Load(self):
with open(os.getcw... |
#!/usr/bin/env python
# encoding: utf-8
# ----------------------------------------------------------------------------
from __future__ import absolute_import, unicode_literals
import logging
import time
from io import StringIO
from django.conf import settings as django_settings
from django.core import mail
from djang... |
import typing as ty
import numpy as np
from scipy import stats
import tensorflow as tf
import tensorflow_probability as tfp
import flamedisx as fd
export, __all__ = fd.exporter()
o = tf.newaxis
class DetectPhotonsOrElectrons(fd.Block):
"""Common code for DetectPhotons and DetectElectrons"""
model_attribute... |
from django.contrib.auth import get_user_model
from djoser.serializers import UserCreateSerializer, UserSerializer
from drf_extra_fields.fields import Base64ImageField
from recipes.models import Ingredient, IngredientRecipe, Recipe, Tag
from rest_framework import serializers
from rest_framework.validators import Unique... |
from typing import Optional
import torch
import torch.nn as nn
from torch import Tensor
import numpy as np
'''
Modules are basically follow the desing of the original repo, but also with some modifications.
https://github.com/lioryariv/volsdf/blob/main/code/model/network.py
'''
class SDFNet(nn.Module):
def __init... |
import os
import sys
import glob
import json
from flask import Flask, render_template, request, redirect, url_for, \
jsonify, send_file, send_from_directory, abort
# import psycopg2
from PIL import Image
from io import BytesIO
from base64 import b64encode, b64decode
import time
import random
from tempfile import ... |
import numpy as np
import os
import tensorflow as tf
from glob import glob
from object_detection.builders import model_builder
from object_detection.core.model import DetectionModel
from object_detection.core import standard_fields as fields
from object_detection.utils import config_util, label_map_util
from typing im... |
import random
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import copy
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def soft_update(target, source, tau):
for target_param, param in zip(target.parameters(), source.par... |
import pygame
import random
import os
pygame.mixer.init()
pygame.init()
# COLOURS
white = (255, 255, 255 )
red = (255, 0, 0)
black = (0, 0, 0)
aqua = (26, 198, 217)
yellow = (252, 186, 3)
# CREATING WINDOW
screen_width = 900
screen_height = 600
gameWindow = pygame.display.set_mode((screen_width,scre... |
class Ann(object):
def __init__(self, name, padding = 0):
self.value = False
self.name = name
self.width = len(name) + padding
self.empty = " " * self.width
def set(self):
self.value = True
def reset(self):
self.value = False
def text(self):
if se... |
import vcf
import argparse
from record import Record, PhaseSet, ChromosomoHaplotype
from stats import PhaseSetStats, HapStats
def get_phase_set_stats(template_phase_set:PhaseSet, phase_set:PhaseSet):
prev_record: Record
record: Record
t_record: Record
t_prev_record: Record
record_count = 0
s... |
import numpy as np
import cv2
from PIL import Image
from sklearn.metrics.pairwise import cosine_similarity
import torchvision.transforms as transforms
from torchvision import models
from torch.autograd import Variable
import matplotlib.image as mpimg
import ov_utils.imgproc as imgproc
model = models.resnet18(pretraine... |
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