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# adapted from SVM from Scratch in Python by <NAME>
# https://medium.com/deep-math-machine-learning-ai/chapter-3-1-svm-from-scratch-in-python-86f93f853dc
from matplotlib import pyplot as plt
from sklearn.datasets.samples_generator import make_blobs
import math
import numpy as np
def SVM_Training(data_dict, ... |
"""SCons.Tool.xetex
Tool-specific initialization for xelatex.
Generates .pdf files from .latex or .ltx files
There normally shouldn't be any need to import this module directly.
It will usually be imported through the generic SCons.Tool.Tool()
selection method.
"""
#
# __COPYRIGHT__
#
# Permission is hereby granted... |
import os
import zipfile
from .metadata import Metadata
from .util import hash_zip
class MetadataNotFoundError(Exception):
"""
Thrown when no metadata was found in the data container loaded
"""
class DataContainer:
"""
Represents a data container which holds both data and metadata.
Responsibi... |
"""
Inventory Steps
Steps file for Inventory.feature
"""
from os import getenv
import logging
import json
import requests
from behave import *
from compare import expect, ensure
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support.ui impor... |
from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileRequired, FileAllowed
from wtforms import (BooleanField, SelectField, SubmitField, IntegerField,
DecimalField, RadioField, StringField, validators)
from wtforms.validators import DataRequired
from flask_uploads import UploadSet, ARCHIVES
fro... |
#!/usr/bin/env python
import argparse
import os
import shutil
import time
from Dataset import CtDataset
#from utils.loss import DiceLoss
from utils.diceloss import DiceLoss
import vnet
import torch
import torch.nn as nn
import torchvision.transforms as transforms
import torch.optim as optim
import torch.utils.data a... |
# Copyright 2020 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
# Imports
from scipy.io import loadmat
from scipy.signal import fftconvolve
import numpy as np
import gc as garbageCollector
########################################################################################################################
# Load signals from a specific file in the source files
# Convenience fu... |
import os
import queue
import shlex
import select
import threading as mt
import subprocess as sp
from .constants import RUNNING, DONE, FAILED
from .misc import is_string
# ------------------------------------------------------------------------------
#
def sh_callout(cmd, stdout=True, stderr=True, shell=Fals... |
import datetime
import os
from django.conf import settings
# Logging setup
if not os.path.isdir(f"{settings.BASE_DIR}/logs/"):
os.makedirs(f"{settings.BASE_DIR}/logs/")
log_file_no = 1
while True:
if not os.path.isfile(f"{settings.BASE_DIR}/logs/python_log_{log_file_no:03d}.txt"):
log_file_no -= 1
... |
"""
LO-PHI's database interface (and extra functions) for tracking binary
files and analysis jobs
(c) 2015 Massachusetts Institute of Technology
"""
# Native
import shutil
import random
import string
import os
import errno
import time
import logging
logger = logging.getLogger(__name__)
# LO-PHI
import l... |
from PyQt5 import QtWidgets, QtCore
from xldigest.widgets.returns_tab_ui import Ui_ReturnsUI
from xldigest.database.base_queries import (project_names_per_quarter,
single_project_data)
# All this from https://www.youtube.com/watch?v=VcN94yMOkyU&t=71s
class Node:
def ... |
# -*- coding: utf-8 -*-
# Copyright (c) 2016, 2017, 2018, 2019 Sqreen. All rights reserved.
# Please refer to our terms for more information:
#
# https://www.sqreen.io/terms.html
#
""" Low-level HTTP interaction with sqreen API
"""
import codecs
import collections
import json
import os
import sys
from datetime impo... |
import validators, requests, re # Import external
import apikey, wifi, url, file # Import local
from io import BytesIO
apikey = apikey.apikey()
url_class = None
wifi_class = None
file_class = None
headers = {"Accept": "application/json",
"Content-Type": "application/x-www-form-urlencoded",
"x-apikey": apikey}
... |
import sys
from absl import flags
import baselines.common.tf_util as U
import numpy as np
from baselines import deepq
from baselines_legacy import cnn_to_mlp, BatchInput
from pysc2.env import environment
from pysc2.env import sc2_env
from pysc2.lib import actions
from pysc2.lib import actions as sc2_actions
from pysc2... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import math
import os
import random
import zipfile
import cPickle as pickle
import numpy as np
from six.moves import urllib
from six.moves import xrange # pylint: disable
from scipy.sparse i... |
import csv
from twitter_specials import *
from math import *
import string
word_counts_dict = {} # "word": [positive, negative, neutral, irrelevant, total counts]
category_to_num = {"positive": 0, "negative":1, "neutral":2, "irrelevant": 3}
num_to_category = {0: "positive", 1: "negative", 2: "neutral", 3: "irrelevant"... |
"""
Migrating database
"""
import datetime
from typing import Optional, Set
from django.db import DEFAULT_DB_ALIAS as DJANGO_DEFAULT_DB_ALIAS
from django.db.models.signals import post_migrate
from django.dispatch import receiver
# In order to support all operations import here
from infi.clickhouse_orm.migrations impo... |
import time
# read sudo file to list
def read_sudo_file(in_file):
original_sudo = []
with open(in_file,'r',encoding='utf-8') as f:
lines = f.readlines()
for line in lines:
line = line.strip()
if not line:
continue
one_sudo = []
for... |
# asteroid game
from PIL import ImageFont, ImageDraw, Image
import cv2
import random
import numpy as np
import pathlib
from playsound import playsound
class AsteroidGame:
def __init__(self, width, height):
self.asteroid_image = cv2.imread('assets/asteroid.png', cv2.IMREAD_UNCHANGED)
self.astero... |
# cython: language_level=3
# cython: boundscheck=False
# cython: wraparound=False
# cython: initializedcheck=False
# cython: cdivision = True
# cython: always_allow_keywords =False
# cython: unraisable_tracebacks = False
# cython: binding = False
import cython
if cython.compiled:
from cython.cimports.cpython impo... |
import warnings
from multiprocessing import Queue
import numpy as np
import spacy
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.decomposition import NMF, LatentDirichletAllocation
warnings.filterwarnings("ignore", category=DeprecationWarning)
warnings.filterwarnings("ignore... |
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from collections import defaultdict
import random as r
import math as m
import numpy as np
from keras import backend as K
from random import Random
INTERVENTION_SIM_THRESHOLD=0.1
MAXLEN = 50
SEED=314159 # first digits... |
import requests
from datetime import datetime, timedelta
from requests.auth import HTTPBasicAuth
from django.db.models import Count
from django.conf import settings
from django.views.decorators.csrf import csrf_exempt
from django.core.exceptions import ObjectDoesNotExist
from django.http import HttpResponse
from rest_f... |
import copy
from queue import Queue
import time
import pickle
from base import Network
# import matplotlib.pyplot as plt
from info_str import NAS_CONFIG
# from .base import NetworkUnit, NETWORK_POOL
# TODO Please fix your variables and functions naming.
# Ref: Google Code Style (Python) - Python 風格規範 “命名... |
from __future__ import annotations
from typing import Any, List
import yaml
from pydantic import BaseModel
def _from_file(path: str, typ: Any) -> Any:
with open(path, "r") as f:
raw_config = yaml.load(f, Loader=yaml.Loader)
return typ(**raw_config)
class GenericQDeviceConfig(BaseModel):
# ... |
import fire
import os
from deepar.dataset.time_series import TimeSeries, TimeSeriesTest
import pandas as pd
import numpy as np
from deepar.model.learner import DeepARLearner
from sklearn.metrics import mean_squared_error
from math import sqrt
import sys
import tensorflow as tf
from tensorboard.plugins.hparams import ap... |
import torch
import pandas as pd
from sklearn.model_selection import train_test_split
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
unique_tags =['PRP$', 'WP$', 'JJR', 'VBP', 'FW', 'IN', 'NNS', 'VBD', 'VBG', 'LRB', 'WP', 'RP', 'NNP', 'JJS', 'PDT', 'RBS', 'PRP', 'DT', 'CD', 'NN', 'VB... |
import os, cv2, shutil
import numpy as np
import argparse
def read_coords(coord_file):
coord_data, inds_pos = [], []
assert os.path.exists(coord_file), "File does not exist! %s"%coord_file
with open(coord_file, 'r') as f:
for ind, line in enumerate(f.readlines()):
x_coord = int(line.str... |
import matplotlib
import matplotlib.pyplot as plt
import os
import random
import io
import imageio
import glob
import scipy.misc
import numpy as np
from six import BytesIO
from PIL import Image, ImageDraw, ImageFont
from IPython.display import display, Javascript
from IPython.display import Image as IPyImage
import t... |
import os
import pandas as pd
import numpy as np
import warnings
import math
from sklearn.ensemble import ExtraTreesRegressor, AdaBoostRegressor, GradientBoostingRegressor, RandomForestRegressor
from sklearn.model_selection import KFold, LeaveOneGroupOut, GroupKFold
from sklearn.model_selection import cross_val_score,... |
import torch
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
from torch.autograd import Variable
from model.models import FewShotModel
class BidirectionalLSTM(nn.Module):
def __init__(self, layer_sizes, vector_dim):
super(BidirectionalLSTM, self).__init__()
"""
... |
from tkinter import Tk, Canvas, Button
from random import randint, random
from PIL import ImageTk, Image
import time
POCET = 50
# POCET_MIN = 10
VELIKOST = int(500/POCET)
OBTIZNOST = 0.1
BARVY = [
"#000",
"blue",
"green",
"red",
"#007",
"brown",
"#A4A",
"yellow",
"black"
]
flaged =... |
import os
import time
import csv
import requests
from logger import logger
from parsing_gpx import get_gpx_activity_type
from parsing_json import get_json_activity_type
from parsing_csv import parsing_data_from_csv
URL_CREATE_ACTIVITY = 'https://www.strava.com/api/v3/activities'
URL_UPLOADS = 'https://www.strava.co... |
import os
import cv2
import numpy as np
def pad_to_square(image):
"""
Pad image to square shape.
"""
height, width = image.shape[:2]
if width < height:
border_width = (height - width) // 2
image = cv2.copyMakeBorder(image, 0, 0, border_width, border_width,
... |
#!/usr/bin/env python3
import pygame
from pygame import mixer
import random
import math
# Initialize the pygames library
pygame.init()
# create our first screen
screen = pygame.display.set_mode((800, 600))
# Background
background = pygame.image.load('Sprites/background.png')
# Sound
mixer.music.load("Sounds/backgr... |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... |
"""
"""
from collections import defaultdict
import logging
import os
from ctseg.config import DEFAULT_CONFIG
logger = logging.getLogger(__name__)
def validate_schema(d):
"""Validate the schema of a config dict against the DEFAULT_CONFIG
Args:
d (dict): the config to validate
Raises:
... |
# Copyright 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import datetime
import json
import mock
from components import utils
utils.fix_protobuf_package()
from test import test_util
from testing_utils import test... |
import matplotlib.pyplot as plt
import numpy as np
from RBSpy import rbsSpectra
import RBSpy.rbsAux as raux
class multi_rbs():
def __init__(self, file_path_array, type_file = 'exp', offset = 90, **kwarg):
self.file_path_array = file_path_array
self.type_file = type_file
self.offset = off... |
import os
import sys
import importlib
import logging
from http import HTTPStatus as status
from functools import wraps
# from flask_restful import Resource, Api
from flask import jsonify, request
from . import openflix_config as config
from . import db
from . import app
from .openflix_utils import route
from .interfa... |
import sys
sys.path.append("/scratch/wdjo224/deep_protein_binding")
import os
import torch
from torch.utils.data.sampler import SubsetRandomSampler
import numpy as np
import pandas as pd
from torch.utils.data import DataLoader
from src.utils import get_parser, update_tensorboard, collate_fn, get_loss
from src.MoleculeD... |
"""Keras implementation of TextBoxes++."""
from keras.layers import Activation
from keras.layers import Conv2D
from keras.layers import Dense
from keras.layers import Flatten
from keras.layers import GlobalAveragePooling2D
from keras.layers import Input
from keras.layers import MaxPooling2D
from keras.layers import co... |
#!/usr/bin/env python3
# coding:utf-8
import asyncio
import functools
import logging;logging.basicConfig(level=logging.INFO)
import inspect
import os
from aiohttp import web
from myerror import APIError
# 定义url处理函数，添加请求方式标记;按RESTFULL规定，有四种请求GET,POST,PUT,DELETE
def re_method(path, *, method):
def decorator(func):... |
import json
import logging
import time
from multiprocessing import Process, Queue
from time import sleep
from unittest import TestCase, mock
from unittest.mock import call
from hoststats.app import app
from hoststats.collection import SLEEP_INTERVAL_MS, collect_metrics
from hoststats.stats import FORWARD_HEADER
SLEEP... |
#
# Calibration of CIR85 model
# to Euribor Rates from 30. September 2014
# 11_cal/CIR_calibration.py
#
# (c) Dr. <NAME>
# Derivatives Analytics with Python
#
import sys
sys.path.append('10_mcs')
import math
import numpy as np
np.set_printoptions(suppress=True,
formatter={'all': lambda x: '%7.6f' % ... |
import gym
import time
import keyboard
import math
import random
import matplotlib.pyplot as plt
class QLearning:
def __init__(self):
self.exploration = 0.6
self.learning_rate = 0.3
self.discount_rate = 0.99
self.degrees = [2 * math.pi * x / 360 for x in range(360)]
self.st... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import socket
import select
import logging
log = logging.getLogger(__name__)
class Server:
def __init__(self, relays, timeout=0.3):
self._relays = list(relays)
self.timeout = timeout
self.input_map = {}
self.links = {}
def main_... |
import sys
import importlib
import click
@click.group()
def main():
pass
def extra_commands_callback_decorator(callback):
def _callback(*args, **kwargs):
exit(0 if callback(*args, **kwargs) else 1)
return _callback
kubernetes_not_configured = False
for daemon in [
{'name': 'initializer'... |
import abc
import tkinter as tk
from tkinter import font as tkfont
import logging as log
import sys
FORMAT = '[%(asctime)s] [%(levelname)s] : %(message)s'
log.basicConfig(stream=sys.stdout, level=log.DEBUG, format=FORMAT)
class TitlePage(tk.Frame):
def __init__(self, parent, controller):
tk.Frame.__init... |
import re
import random
from math import ceil
from typing import Callable, Optional
from sys import stdin
from dataclasses import dataclass
from syllable import Syllable, HEH_SYLLABLES, MAX_SIMILARITY
from constants import HEH_LEVEL, HEH_RATE, VOWELS, CONSONANTS
settings: Optional['Settings'] = None
@dataclass
clas... |
import objects
from os import listdir
from datetime import datetime
def choose_account():
exit_bol = False
while True:
account_number_choice = input('what account should this statement go to? >> ')
try:
result_account = objects.Account.objects.get(number=int(account_number_choice)... |
# -*- coding: utf-8 -*-
import pytest
import os
from datetime import datetime
from slickqa import *
def pytest_addoption(parser):
group = parser.getgroup('slickqa')
env = os.environ
group.addoption("--slick-url", action="store", default=env.get('SLICK_URL'),
metavar="SLICK_URL", dest=... |
# Copyright 2006-2012 <NAME>
# this module is tested by pycbio/src/progs/gbff/gbffGenesToGenePred
from pycbio.sys import PycbioException
from Bio import SeqFeature
class GbffExcept(PycbioException):
pass
def featHaveQual(feat, key):
"does a feature have a qualifier?"
return (key in feat.qualifiers)
... |
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
import random
from scipy import stats
from sklearn.metrics import mutual_info_score
np.set_printoptions(precision=4)
class Mimic(object):
"""
Usage: from mimicry import Mimic
:param domain: list of tuples containing the min and max... |
"""
Usage example:
```sh
# To train model on all words:
python model.py "${HOME}/ml-data/speech-command-browser" 232
# To train model on a subset of the words (in addition to _background_noise
# and _unknown_):
python model.py \
--include_words=left,right,up,down \
"${HOME}/ml-data/speech-command-browser" 232... |
"""
Script for filtering key term matched documents from S2 corpus.
inCitations -> citations
outCitations -> references
@author: <NAME>
"""
import os
import json
import codecs
import re
from langdetect import detect
import pandas as pd
def readTxtFile(filePath):
fileObject = codecs.open(filePath,"r", "utf-8") ... |
"""
Generator
=========
"""
import pygame
pygame.init()
SIZES = [12, 15, 20]
FAMILIES = (
"Ubuntu",
"Ubuntu Condensed",
"Ubuntu Mono",
"Bookerly",
"Press Start 2P",
)
FONTS = []
for font in FAMILIES:
for size in SIZES:
FONTS.append((font, size))
SAMPLE_TEXT = "micropython-... |
import random
import math
import numpy as np
from environment.core import World, BranchyModel, Service, Agent, BaseStation
from environment.hyperParameters import RHO, DROP_PENALTY, ACCURACY_PENALTY
# branchy DNN model info
#COMP_INTENSITY = [97, 124, 139, 165]
COMP_INTENSITY = [100, 150, 200, 250]
ACC_TABLE = [0.59 ,... |
import pandas as pd
import lightgbm as lgb
import gc
##################################################
# LightGBM model declaration #
##################################################
def lgb_modelfit_nocv(params, dtrain, dvalid, predictors, target='target', objective='binary', metrics='... |
"""
oTree page extensions.
March 2021, <NAME> <<EMAIL>>
"""
import settings
from django import forms
from django.utils.translation import ugettext as _
from otree.api import Page, WaitPage
APPS_DEBUG = getattr(settings, 'APPS_DEBUG', False)
class AllGroupsWaitPage(WaitPage):
"""A wait page that waits for al... |
from click.testing import CliRunner
import pytest
from javaproperties_cli.__main__ import javaproperties
INPUT = (
b"foo = bar \n"
b"test \n"
b" baz = glarch \\\n"
b" quux \\\n"
b" # comment\n"
b"xyzzy\n"
b"\n"
b"plugh = plo\\\n"
b" ver \\\n"
b" \\\n"
b" s... |
from sdurw_proximity import *
from sdurw import *
from sdurw_proximitystrategies import*
import time
CDQueryType = ["AllContactsFullInfo","AllContanctsNoInfo","FirstContactFullInfo","FirstContactNoInfo"]
CSQueryType = ["FirstContact","AllContacts"]
def printPSD(data:"ProximityStrategyData"):
print(" Proximity... |
import bz2
import gzip
import io
import lzma
import os
import psutil
import pytest
import pshell as sh
compression_param = pytest.mark.parametrize(
"openfunc,ext,compression",
[
(open, "", "auto"),
(gzip.open, ".gz", "auto"),
(bz2.open, ".bz2", "auto"),
(lzma.open, ".xz", "aut... |
"""Sloan course catalog ETL"""
import logging
import re
from datetime import datetime
from decimal import Decimal
from urllib.parse import urljoin
import requests
from bs4 import BeautifulSoup as bs
from django.conf import settings
from course_catalog.constants import OfferedBy, PlatformType, see_edx_mapping
from cou... |
"""Preprocessing of training and validation data sets."""
import os
import csv
import random
import scipy
import numpy as np
import dicom
from .image_op import gen_augmented_frames
# TODO handle sax files with n != 30 dicom images
# TODO explore 2ch and 4ch folders
# TODO order images by slice depth
def gen_fram... |
'''
Command line interface to the ACME data processing pipeline
'''
import sys
import argparse
import glob
import os
import os.path as op
import time
import logging
import warnings
import multiprocessing
from pathlib import Path
from sys import platform
from tqdm import tqdm
sys.path.append(op.dirname(op.dirna... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# The MIT License (MIT)
#
# Copyright (c) 2015 Tintri, Inc.
#
# 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 withou... |
"""\
Spacers to use in sizers
@copyright: 2002-2007 <NAME>
@copyright: 2014-2016 <NAME>
@copyright: 2016-2019 <NAME>
@license: MIT (see LICENSE.txt) - THIS PROGRAM COMES WITH NO WARRANTY
"""
import wx
import common, misc
from tree import Node
import new_properties as np
from edit_windows import ManagedBase
class Ed... |
import gd
import time
import datetime
import sys
import os
import json
from json_abs import *
from db import *
from cep import *
import discord
from discord.ext import commands
F_CONFIG = 'config'
F_SQL = 'modbuddy.sqlite'
intents = discord.Intents.default()
intents.members = True
bot_prefix = "??"
client = commands.... |
#!/usr/bin/env python3
import os
import re
import sys
import send2trash
import time
#To do: implement this into the docker pipeline as an option
#inputs:
fasta_file = "repset.fasta"
taxonomy_file = "repset.taxonomy.txt"
mapping_file = "readyForQiime.allsamples_otus.txt"
#warning:
warning_message = "This program req... |
from typing import Union, Dict, Any, Optional
import numpy as np
import networkx as nx
import pandas as pd
from geopy.distance import distance
import matplotlib.pyplot as plt
from optinet import mutate
from optinet import cross_section
def gaussian(x, mu, sig):
return np.exp(-np.power(x - mu, 2.) / (2 * np.powe... |
# Copyright 2021 Population Health Sciences and Image Analysis, German Center for Neurodegenerative Diseases(DZNE)
#
# 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://... |
from twitchio.ext import commands
import asyncio
import csv
import tempfile
import os
import sys
import subprocess
from obswebsocket import obsws, requests, events
import zipfile
from pathlib import Path
import threading
import signal
import time
import my_settings
global plz_stop
plz_stop = False
printing = "Loa... |
# Import all modukes that needed for this solution
import requests
import json
import urllib
import os
import pandas as pd
from dns import resolver
import re
import socket
import smtplib
# Import Configuration
from config import apikey as hapikey
from config import smtp_host
from config import filename
from config im... |
from io import StringIO
from contexts.plugins.reporting import cli
from contexts import action
from .. import tools
class VerboseReporterSharedContext:
def context(self):
self.stringio = StringIO()
self.reporter = cli.VerboseReporter(self.stringio)
self.outputs = []
class WhenPrintingVer... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: <NAME>
@organization: CHArt - Université Paris 8
"""
from Box2D import b2
from Box2D import (b2Body, b2World, b2Vec2)
import numpy as np
"""
Vehicle based on Chris Campbell's tutorial from iforce2d.net:
http://www.iforce2d.net/b2dtut/top-down-car
"""
class Tir... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import glob
import numpy as np
import six
from scipy.fftpack import fft
from scipy.io import wavfile
import chainer
import chainer.functions as F
import chainer.links as L
from chainer import computational_graph
from chainer import ... |
import datetime
import pkg_resources
import alabaster
import ablog
ablog_builder = 'dirhtml'
ablog_website = '_website'
project = 'PyGears'
this_year = datetime.date.today().year
copyright = f'{this_year}, <NAME>'
author = '<NAME>'
version = pkg_resources.get_distribution("pygears").version
release = version
extens... |
import requests
import ast
import shutil
import traceback as tb
import time
import pandas as pd
from slugify import slugify
import os
LGTM_ACCESS_TOKEN="62a92b7d201c7def5c1ae347e254cc35345f8a24e7db0a19744b0d4d7193c5ad"
lgtm_session = requests.Session()
lgtm_session.headers.update({'authorization': 'bearer ' + LGTM_ACC... |
# process scene graph annotations of CLEVR
# each attribute value (e.g. 'blue') is considered as a **special node**, whose v_h is one-hot vector
# in every scene, att nodes are after object nodes and index from len(objects)
# each attribute field/type (e.g. 'color') is considered as a special relationship
# object attr... |
#!/usr/bin/env python 3
# -*- coding: utf-8 -*-
#
# Copyright (c) 2021 PanXu, Inc. All Rights Reserved
#
"""
图注意力模型
Authors: PanXu
Date: 2021/02/14 10:00:00
"""
import torch
from torch import nn
from torch.nn import Dropout, Parameter, Linear, LeakyReLU, ModuleList
from torch.nn import ELU, LogSoftmax
import torc... |
import logging
import multiprocessing as mp
import sys
from typing import Any, List
import io
import numpy as np
import pandas as pd
from tqdm import tqdm
import matplotlib.pyplot as plt
import vis
from preprocessing import center_crop
from synthetic import SyntheticPSF
from wavefront import Wavefront
logging.basic... |
#!/usr/bin/python3
import os
import subprocess
import docker
import utils
import signal
def setup(coin, stage):
os.chdir(f"../docker-compose/{stage}")
print(f"Starting {coin}_{stage}_api node...")
sp = subprocess.Popen(["docker-compose", "-f", f"{coin}.yml", "-p", f"{coin}_{stage}_api", "up", "--build", "... |
import tensorflow as tf
import scipy as sp
import numpy as np
import pandas as pd
import re
import hashlib
from sklearn.preprocessing import StandardScaler
import librosa
import os
from pathlib import Path
import IPython.display as ipd
import cProfile
import numpy as np # linear algebra
import pandas as pd # data ... |
import numpy as np
import tensorflow as tf
from mher.algos.sac_utils import apply_squashing_func, mlp_gaussian_policy
from mher.algos.util import nn, store_args
class ActorCritic:
@store_args
def __init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, sess):
"""The actor-... |
# https://github.com/marc1701/area-beamforming/blob/SRP_dev/utilities.py
import numpy as np
from scipy.spatial.distance import cdist
# golden ratio
R = (1 + np.sqrt(5)) / 2
def cart_to_sph(cart_co_ords, return_r=False):
# transformation between co-ordinate systems
x, y, z = cart_co_ords[:,0], cart_co_ords[:,1]... |
from parcels import FieldSet, ParticleSet, JITParticle
from parcels import Variable, ErrorCode, Field
from datetime import timedelta
from datetime import datetime
from parcels import GeographicPolar, Geographic
import numpy as np
import sys
import local_kernels as kernels
import xarray as xr
series = 8
resusTime = 171... |
import numpy as np
import random
from generate import generate
from search import query
from search import makeMove
flat = 1
hilly = 2
forested = 3
caves = 4
def manhattanDistance(x1,y1,x2,y2):
delta_x = abs(x2-x1)
delta_y = abs(y2-y1)
return delta_x+delta_y
def move(x1,y1,x2,y2):
if x1==x2 and y1==... |
# Copyright 2018 <NAME> <<EMAIL>>
#
# 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 writ... |
"""
Demo Flask application to test the operation of Flask with socket.io
Aim is to create a webpage that is constantly updated with random numbers from a background python process.
30th May 2014
===================
Updated 13th April 2018
+ Upgraded code to Python 3
+ Used Python3 SocketIO implementation
+ Updated... |
import os
from bellbird.equation import *
from bellbird.operators import *
from bellbird.writer import Writer
class Model:
def __init__(self, name, equationsStr, variables, properties, boundaryConditions, definitions=[], meshPath="", sparse=False, timeStep=0.1, tolerance=1e-4, maxNumberOfIterations=300):
"""
- D... |
"""
pybiotransformer/wrapper.py
<NAME>
2018/11/19
description:
Python wrapper (class) for using BioTransformer to identify drug metabolites.
"""
from subprocess import run, DEVNULL
from tempfile import NamedTemporaryFile
from csv import DictReader
import os
class PBTMetabolite:
"""
PBTM... |
#!/usr/bin/python3
import datetime, threading, time
import statistics
import RPi.GPIO as GPIO
import sys, os
import signal
import requests
import json
import logging
###############################################################################
# function: test_threshold - will send a notification if a threshold is ... |
from io import BytesIO
from random import randint
import pytest
from d2lib.utils import (
ReverseBitReader,
_BytesJSONEncoder,
_reverse_bits,
calc_bits_to_align,
is_set_bit,
obj_to_dict,
read_null_term_bstr,
stripped_string_concat,
to_dict_list,
)
TEST_STRING = b'ReadNullTermStr'
... |
# Copyright 2008-2018 Univa Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... |
# coding: utf-8
# In[1]:
""" Ingest the inundation maps to earthegine
-------------------------------------------------------------------------------
Author: <NAME>
Date: 20180816
Kernel: python35
Docker: rutgerhofste/gisdocker:ubuntu16.04
Args:
SCRIPT_NAME (string) : Script name
OUTPUT_VERSION (integer)... |
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 13 16:28:38 2022
@author: vedhs
"""
#Imports
import tkinter as tk
import numpy as np
import data
import cv2
from PIL import Image, ImageTk
import queue, threading
# bufferless VideoCapture
class VideoCapture:
def __init__(self, ip):
#Setting width and height ... |
from __future__ import absolute_import
from __future__ import division
# Copyright (c) 2010-2014 openpyxl
#
# 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 wit... |
"""
This module provides a Splunk Modular input that operates a DNS proxy. The DNS
proxy logs requests and replies in Splunk.
"""
import sys
import os
import binascii
path_to_mod_input_lib = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'modular_input.zip')
sys.path.insert(0, path_to_mod_input_lib)
from mo... |
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