text stringlengths 3.07k 22.1k |
|---|
import os
clk_set = ["clk", "clksb", "clks_boost", "clkb", "clkbo"]
vss_set = ["gnd", "vss", "vss_sub", "vrefn", "vrefnd", "avss", "dvss", "vss_d"]
vdd_set = ["vdd", "vdd_and", "vdd_c", "vdd_comp", "vdd_gm", "vddd", "vdda", "veld", "avdd", "vrefp", "vrefnp", "avdd_sar", "vdd_ac", "dvdd", "vdd_int", "vddac", "vdd_d"]
... |
'''
This has utilities related to SNVs and SNSs
'''
import numpy as np
import pandas as pd
import inStrain
import inStrain.profile.profile_utilities
P2C = {'A':0, 'C':1, 'T':2, 'G':3} # base -> position
C2P = {0:'A', 1:'C', 2:'T', 3:'G'} # position -> base
def generate_snp_model(model_file, fdr=1e-6):
'''
T... |
import sugartensor as tf
import numpy as np
# init = tf.sg_initializer
# sg_act = tf.sg_activation
from sugartensor import sg_initializer as init
from sugartensor import sg_activation as sg_act
import matplotlib.pyplot as plt
import os
# def get_sg_act(act_name):
# return getattr(sg_act, 'sg_' + act_name.lower())
... |
import os
import struct
from enum import IntEnum, auto
from textwrap import wrap
import bitstruct as bs
from pywinusb.hid import HidDevice
LED_CONFIG_COUNT = 12
LED_REPORT_ID = 0x59
LED_REPORT_LEN = 129
LED_SET_OP_CODE = bytes.fromhex("59a50a")
class ColorMode(IntEnum):
COLOR1 = 0
COLOR2 = auto()
COLOR1... |
# -*- coding: utf8 -*-
import os
import platform
import subprocess
import requests
import wget
import pyautogui
import keyboard
import telebot
NUM_PC = 0
file = open("token.txt", "r+")
confiG = file.read().split("\n")
file.close()
inform='https://raw.githubusercontent.com/DmodvGH/BackDoorBot/main/documentation.txt'
T... |
import enum
import random
class QuartetsGameState(enum.Enum):
NOT_STARTED = enum.auto()
CHOOSE_GROUP = enum.auto()
CHOOSE_PLAYER = enum.auto()
CHOOSE_CARD = enum.auto()
PLAYER_AGAIN = enum.auto()
PLAYER_NEXT = enum.auto()
FINISHED = enum.auto()
class QuartetsPlayer(object):
def __ini... |
#!/usr/bin/python3
# The MIT License (MIT)
# Copyright (c) 2016 <NAME> (meshfields.de)
# http://meshfields.de/mit-license/
#
# Console Drawing Tool Methods
import sys # essential
import re # regex
from helpers import *
# Globals
color = Color()
vt100 = VT100()
pixels = []
b_canvas = 0
d_canvas = 0
# Methods... |
"""
The MIT License (MIT)
Copyright (c) 2015-2019 Rapptz
Copyright (c) 2019 DantasB
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 righ... |
# -*- coding: utf-8 -*-
"""
Copyright (c) 2014 Deepomatic SAS
http://www.deepomatic.com/
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 right... |
import os
import numpy as np
import math
import keras.backend as K
import matplotlib.pyplot as plt
import pickle
import time
import itertools
from scipy.ndimage.filters import gaussian_filter
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM, TimeDistributed, Dropout
from... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Created on 02/05/2015
@author: jorgesaw
'''
from __future__ import absolute_import, print_function, unicode_literals
from imperial.core.model.datamodel.dataModel import DataModel
from imperial.model.models import ResumenFiscal
from imperial.util import variables
impor... |
#Copyright (c) 2020 <NAME> - MIT License
import logging
import pandas as pd
from utils.file_handling import write_debug_file
from utils.file_handling import get_command_dict
from utils.globals import get_log_folder
from expworkup.handlers.chemical_types import get_chemical_types
from expworkup.handlers.chemical_types ... |
"""
Reconstruct the content of files by analysing reads in the execution history of a debugged program
or LiveRecorder recording.
To use, load this file in UDB (see the `source` command).
See `help reconstruct-file` for usage information.
Contributors: <NAME>
"""
import argparse
import re
import sys
import textwrap... |
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 31 17:24:38 2020
@author: <NAME>
"""
import datetime
from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from fake_useragent import UserAgent
from selenium.webdriver.support.ui import WebDriverWait
from ... |
import numpy as np
import cv2
def ex1():
print("EX_1")
arr = np.zeros(shape=(1, 10))
print(arr)
ex1()
def ex2():
print("EX_2")
arr = np.zeros(shape=(1, 10))
arr[ :, 4] = 5
print(arr)
ex2()
def ex3():
print("EX_3")
arr = np.arange(10, 50)
print(arr)
ex3()
def ex4():
pri... |
from telegram.constants import CHAT_GROUP
from telegram.ext import Updater, MessageHandler, ConversationHandler, CommandHandler, CallbackContext, Filters
from telegram import Update, ReplyKeyboardMarkup, KeyboardButton, ReplyKeyboardRemove, MessageEntity
from datetime import datetime
import django
import os
import sys
... |
from collections import defaultdict
from enum import Enum
from sklearn.base import ClassifierMixin, RegressorMixin, BaseEstimator
from sklearn_pmml import pmml
from sklearn_pmml.convert.utils import pmml_row, assert_equal
from sklearn_pmml.convert.features import *
from pyxb.utils.domutils import BindingDOMSupport as b... |
import asyncio
import dataclasses
from typing import Any, Optional, TypeVar
from sqlalchemy import not_, or_, select
from sqlalchemy.ext.asyncio import AsyncSession
from Backend.crud.base import CRUDBase
from Backend.crud.misc.versions import versions
from Backend.database.base import Base, is_test_mode
from Backend.... |
# Authors: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
#
# License: BSD (3-clause)
import os.path as op
import numpy as np
from functools import partial
from .montage import make_dig_montage
from ..transforms import _sph_to_cart
from . import __file__ as _CHANNELS_INIT_FILE
MONTAGE_PATH = op.join(op.dirname(_CHANNE... |
"""
Conversion of different format
"""
import SimpleITK as sitk
import cv2
import functools
import glob2
import tensorflow as tf
import numpy as np
import os
from tqdm import tqdm
import matplotlib.pyplot as plt
from projects.drutils import fileio
from projects.drutils import augmentation
from projects.drutils import ... |
# 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... |
# sys
import csv
import glob
import numpy as np
import os
from utils.mocap_dataset import MocapDataset
# torch
import torch
from torchvision import datasets, transforms
def split_data_dict(data_dict, valid_size=0.1, randomized=True):
num_samples = len(data_dict)
num_samples_valid = int(round(valid_size * nu... |
# SPDX-FileCopyrightText: 2021 <NAME>
#
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from log import Log
from multimethod import multimethod
import objects, inspect, templates, typing, util, typing
from buildfile import BuildFile, MesonException
from typing import List
from util import is_... |
import os
import logging
from contextlib import suppress, asynccontextmanager
from dataclasses import dataclass, field
from typing import Dict, List, Optional, Tuple, FrozenSet, AsyncIterator, Any
from mobiletestorchestrator.device import Device
from mobiletestorchestrator.device_networking import AsyncDeviceConnectiv... |
# coding: utf-8
# In[1]:
import tensorflow as tf
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)
import keras
from keras.models import *
from keras.layers import *
from keras.optimizers import *
from keras.applications.resnet50 import ResNet50
from keras.application... |
"""
train the conditional VAE network
"""
# import some packages
from tensorflow.keras.layers import Lambda, Input, Dense, Concatenate
from cbrain.layers import *
from tensorflow.keras.models import Model
from tensorflow.keras.losses import mse, binary_crossentropy
from tensorflow.keras.utils import plot_model
from ... |
import logging
from functools import cmp_to_key
from itertools import combinations
from django.conf import settings
from django.db import transaction, IntegrityError
from celery import shared_task
from celery.utils.log import get_task_logger
from contractor.interfaces import LocalViewInterface
from operator_api.decorat... |
from __future__ import division
import sys
import os
import numpy as np
from PIL import Image
import siamfc.siamese as siam
from siamfc.tracker import tracker_full_video
from siamfc.parse_arguments import parse_arguments
from siamfc.region_to_bbox import region_to_bbox
import imp
import pickle
import tensorflow as tf... |
from typing import (
Any,
Callable,
cast,
Dict,
IO,
Iterable,
List,
Optional,
Tuple,
TypeVar,
Union,
)
import io
import json
import shutil
import time
import threading
from io import BytesIO, TextIOWrapper
import pandas as pd
from scipy import sparse
import torch
from accern_... |
import numpy as np
import os
pattern = ['Frequent_Pattern_init.txt', 'Frequent_Pattern_sd.txt']
path_list = ['../../data/Geolife Trajectories 1.3/Trajectories7000/', '../../data/Geolife Trajectories '
'1.3/sd/sd_final_MDL1100_ep0.1/',
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import networkx as nx
import AreaMesh
import LatLonCalc
def outputCSV(fo, outputList):
text = ""
for i in range(len(outputList)-1):
text = text + str(outputList[i]) + ","
text = text + str(outputList[len(outputList)-1]) + "\n"
fo.write(... |
###############################################################
# SPDX-License-Identifier: BSD-2-Clause-Patent
# SPDX-FileCopyrightText: 2021 the prplMesh contributors (see AUTHORS.md)
# This code is subject to the terms of the BSD+Patent license.
# See LICENSE file for more details.
###################################... |
from __future__ import print_function
import argparse
import os
import time
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from model import capsules
from model.capsules_raven import CapsNet as CapsNetRAVEN
from loss import Sp... |
#--------------------------------
# Name: daymet_ancillary.py
# Purpose: Process DAYMET ancillary data
#--------------------------------
import argparse
import datetime as dt
import logging
import os
import sys
import drigo
import numpy as np
def main(ancillary_ws, zero_elev_nodata_flag=False, overwrit... |
import unittest
from tspvisual.tsp import Path
from tspvisual.tsplib import Lines, TSPLib, TSPLibTour
class TestTSPLib(unittest.TestCase):
def setUp(self):
self.tsplib = TSPLib()
def test_cells(self):
formats = {
'FULL_MATRIX': [(0, 0), (0, 1), (0, 2), (0, 3),
... |
import warnings
from typing import Collection, Optional, Tuple
from typing import Union
import cftime
import pandas as pd
import xarray as xr
from xcube.core.gridmapping import GridMapping
from xcube.util.assertions import assert_given
# The MIT License (MIT)
# Copyright (c) 2021 by the xcube development team and co... |
import os.path
import pathlib
from typing import Union
import pygame
from PIL import Image
import tqdm
import numpy as np
import imageio
import random
import matplotlib.pyplot as plt
import wandb
from wandb.wandb_run import Run
from htm_rl.agents.v1.agent import RndAgent, ExploreAgent
from htm_rl.envs.biogwlab.env im... |
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 9 11:15:48 2018
@author: bfyang.cephei
"""
import numpy as np
import pandas as pd
#import pandas_datareader.data as web
#import tushare as ts
#import datetime
#==============================================================================
def poss_date(date):
if le... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
from concorde.tsp import TSPSolver
import functions as fc
import plots_functions as pf
import file_reader_writer as frw
import time
import sys
import os
from shapely.geometry import LineString
from shapely.geometry import Point
from termcolor import col... |
#!/usr/bin/env python
from __future__ import print_function
import argparse
import csv
import errno
import json
import logging
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import multiprocessing as mp
import numpy as np
import os
from PIL import Image
import subprocess
import sys
sys.path.a... |
#!/usr/bin/env python3
import datetime
import io
import os
import shutil
from optparse import OptionParser
import numpy as np
import xarray as xr
# chunked netcdf input speedup 15x compared to regular netcdf !!!
dataInfo = {
"title": "PGF v2 Climate Data",
"source": "Princeton University Hydroclimatology Gr... |
import copy
import tensorflow as tf
import networks.vgg16 as vgg16
import networks.vgg11 as vgg11
import networks.mobilenet_for_cifar as mobilenet_for_cifar
import networks.mobilenet_for_imagenet as mobilenet_for_imagenet
import networks.resnet18 as resnet18
import networks.resnet32 as resnet32
import datasets.cifar1... |
"""
modulereload(Project_Functions)
from Project_Functions import *
# modulereload(Project_Functions)
# from Project_Functions import *
import Project_Functions
import importlib
importlib.reload(Project_Functions)
modulereload(Project_Functions)
from Project_Functions import *
# import Project_Functions
# impor... |
# -*- coding: utf-8 -*-
# _ __
# | |/ /___ ___ _ __ ___ _ _ ®
# | ' </ -_) -_) '_ \/ -_) '_|
# |_|\_\___\___| .__/\___|_|
# |_|
#
# <NAME>
# Copyright 2022 Keeper Security Inc.
# Contact: <EMAIL>
#
import argparse
import itertools
import json
import logging
from typing import Tuple, List, Optional, Set... |
# The commented code are the features which I'm currently working on.
# They are unstable, do not use them.
import json
import os
from selenium import webdriver
from webdriver_manager.firefox import GeckoDriverManager
from selenium.webdriver.firefox.options import Options
from selenium.webdriver import ActionChains
fr... |
# -*- coding: utf-8 -*-
'''
Objects representing PDF path (stroke and filling) extracted from pdf drawings and annotations.
Data structure based on results of ``page.getDrawings()``::
{
'color': (x,x,x) or None, # stroke color
'fill' : (x,x,x) or None, # fill color
'width': float, ... |
#!python3
# Copyright (C) 2020 <NAME>
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed ... |
import logging
import polyinterface
import os
import asyncore
from copy import deepcopy, copy
from threading import Thread
from av_funcs import get_server_data, get_profile_info
from nodes.node_factory import NodeFactory
"""
polyinterface has a LOGGER that is created by default and logs to:
logs/debug.log
You can use ... |
"""
Authors: <<NAME>, <NAME>>
Copyright: (C) 2019-2020 <http://www.dei.unipd.it/
Department of Information Engineering> (DEI), <http://www.unipd.it/ University of Padua>, Italy
License: <http://www.apache.org/licenses/LICENSE-2.0 Apache License, Version 2.0>
"""
import glob
import os
import argparse
i... |
"""
Copyright (c) by <NAME>, 2008
"""
import math
import numpy as N
#from sets import set
#from rpy import r
#from bioinfo.lib.configattributes import *
class Graphviz(object):
def __init__(self,go):
self.go = go
self.id2idx = go.id2idx
self.ids = go.ids
self.parents = g... |
import pytorch_lightning as pl
import sys
sys.path.insert(0,"../")
from causalode.utils import DATA_DIR
import causalode.utils
from causalode.utils import str2bool
import torch
from torch.utils.data import Dataset, DataLoader, Subset
import os
import argparse
import numpy as np
from scipy.integrate import odeint
import... |
# -*- coding: utf-8 -*- #
# Copyright 2017 Google 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 requir... |
# First Argument: Table mapping php api to binary address. Use the extension to get this
# Second Argument: objdump of php binary
# Third Argument: objdump of libc
import sys
import os
import re
import subprocess
from subprocess import Popen, PIPE, STDOUT
labels = dict()
php_sources = dict()
ctxs=dict()
cached = ... |
# mathematical imports
import numpy as np
from sklearn import metrics
# graphical imports
from matplotlib import pyplot as plt
import seaborn as sns
# system imports
import pickle
import sys
# pytorch imports
import torch
import torch.utils.data as data
# my file imports
sys.path.insert(0, '/Users/chanaross/dev/Thesis/... |
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 22 18:28:31 2018
@author: isaac
"""
from numpy import *
from scipy.stats import mode
def calculateIntensity (spike):
# First need to store the original state of RBN Nodes
# print ("The original states: " + str(spike.RBN.states) + "\n")
... |
import os
import sys
from datetime import datetime
import pyperclip
from ergaster.file_writer import FileWriterFs, file_read_utf8
from ergaster.text_ellipsis import ellipsis_line
from ergaster.text_utils import str_qwerty_en_ru
########################################################################################... |
from requests import Session
from clarity_ext_scripts.covid.partner_api_client import *
from mock import patch
import pytest
class TestPartnerAPIClient(object):
class MockValidPostResponse(object):
def __init__(self):
self.status_code = 200
# TODO If we want more advanced tests... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This program collects Spain weather observations from AEMET and uploads them to the Orion Context Broker.
It uses predefined list of stations (./stations.yml), that can be obtained by other harvester:
- https://github.com/FIWARE/dataModels/tree/master/sp... |
def getOPERATOR_DDA(r, ko, refInd, kvec, Eo, nearby_quad):
import numpy as np
(L, M, N, _) = r.shape
# Self-interaction Classius-Mossotti stuff
dx=r[1, 0, 0, 0] - r[0, 0, 0, 0]
b1 = -1.8915316
b2 = 0.1648469
b3 = -1.7700004
msqr = refInd ** 2
dcube = dx ** 3
d=dx
a_hat = kve... |
from dsa.errors import UserError, MappingError
from io import BytesIO
import zlib
# Most of these errors should never be seen by a user attempting to supply
# valid PNGs in good faith.
class BAD_PNG_HEADER(UserError):
"""Not a valid PNG file (PNG signature not detected)"""
class PNG_EOF(UserError):
... |
import sys
import numpy as np
import heapq
import itertools
# priority queue implemented via heapq
pq = []
entry_finder = {}
REMOVED = '<removed-task>'
counter = itertools.count()
def add_task(task, priority=0):
"""Add a new task or update the priority of an existing task"""
if task in entry_finder:
... |
# Copyright 2021 VicEdTools 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 applicable law or agreed to in writi... |
# Copyright 2021 The Funnel Rocket Maintainers
#
# 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 o... |
from builtins import range
import numpy as np
def batchnorm_forward(x, gamma, beta, bn_param):
"""
Forward pass for batch normalization.
During training the sample mean and (uncorrected) sample standard deviation
are computed from minibatch statistics and used to normalize the incoming
da... |
import logging
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import metrics
from fairseq.criterions.label_smoothed_cross_entropy import label_smoothed_nll_loss
logger = logging.getLogger(__name__)
def reduce_cache_metrics(logging_outputs):
"""Aggregate logging outpu... |
from collections import defaultdict, deque
import itertools
import copy
import re
file_name = "Input.txt"
size = 12 # 3 or 12 sqrt num_tiles
tile_size = 10
'''
with open(file_name, "r") as fp:
lines = fp.readlines()
lines = [x.strip() for x in lines]
line = lines[0].strip()
toks = line.split(",")
nums = [int(n)... |
from imutils.video import VideoStream
import numpy as np
import cv2
import imutils
import time
from sklearn.metrics import pairwise
from PIL import ImageGrab
from imutils.video import FPS
import copy
font = cv2.FONT_HERSHEY_SIMPLEX
# def all_lines(img, lines, store):
# height, width = img.shape
# try:
# for line... |
# -*- coding: utf-8 -*-
import csv
import datetime
def header(first_date,last_date,today,org):
reference=today.strftime("%Y-%m-%dT%H%M%S")
txt="UIB+UNOB:4+"+reference+"'\n"
txt+="UIH+SKDUPD:D:04A+1+"+reference+"'\n"
txt+="MSD+AAR:61'\n"
txt+="ORG+"+org+"+++"+org+"'\n"
txt+="HDR+81+273... |
"""Generate the menu items."""
import configparser
import json
import os
from pathlib import Path
import re
from typing import Text
import xml.etree.ElementTree as et
from xml.dom import minidom
import shutil
import logging
def add_menu(installdir: Path, name: Text) -> None:
"""Add a submenu to 'VNM' menu.
Pa... |
""" Optimization methods for parametric nonlinear equality constrained problems.
"""
import collections
from scipy.optimize import minimize
import jax
from jax import lax
from jax import jit
from jax import grad
from jax import jacrev
import jax.numpy as np
from jax import tree_util
from jax.experimental import optim... |
from tkinter import *
from tkinter import messagebox
from tkinter import ttk
import sqlite3
#1- conectando o banco e a tabela de dados
banco = sqlite3.connect('petshopp.db')
cursor = banco.cursor()
cursor.execute("CREATE TABLE IF NOT EXISTS agenda3 (id integer primary key autoincrement , nome text, stoke integer, valo... |
#!/usr/bin/env python
#
# Copyright (C) 2015 The Regents of the University of California.
#
# 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,
# ... |
import os, sys
from django.db import models
from django.conf import settings
from django.contrib.auth import backends
from django.core.exceptions import ImproperlyConfigured
from django.contrib.auth.models import User, AnonymousUser
from config import Config
from datetime import datetime
import logging
import trace... |
import os
from datetime import datetime
from random import randint
from hashlib import md5
from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
from project import db, login, celery
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
... |
import os
import pandas as pd
import csv
import re
from datetime import datetime as dt, timedelta
from collections import defaultdict
csvdata = list()
# Reads a raw interaction data file
def readfile(file_name):
os.chdir("./data/" + file_name)
print("Reading " + file_name + " data")
# cs2114_fall_2020_so... |
import os
import sys
import numpy as np
import pickle
import tensorflow as tf
from tensorflow.contrib.legacy_seq2seq import sequence_loss
from utils import *
sys.path.append('..')
from config import get_configs, experiment_path, data_path
class Vocab(object):
def __init__(self):
print("init vocab...")
... |
#!/usr/bin/env python
""" Brief description of the pid module.
More advanced description of this module, e.g.
This module contains a 1D PID controller and utilities for managing the
gains and the controller parameters.
Copyright (c) 2017-2019, New York University and Max Planck Gesellschaft,
Lice... |
# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
from IPython import get_ipython
# %%
import numpy as np
import pandas as pd
import os
import keras
from keras.layers import Conv2D, MaxPool2D, Flatten, Dense, Dropout, BatchNormalization
from keras.preprocessing.image import Ima... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# import pytest
from dnd_character_sheet.sheets.Abilities import Abilities # classe
from unittest.mock import Mock
__author__ = "<NAME>"
__copyright__ = "<NAME>"
__license__ = "mit"
def test_modifier_abilities():
abilities = Abilities()
assert abilities.getModi... |
import sys
import os
import time
import pandas as pd
import numpy as np
import coltools as ct
import pyds9
import pyregion
from PIL import Image
from PIL import Image, ImageDraw, ImageFont
from pyregion import Shape
import glob
import argparse
# fitsdir = "/home/coljac/dev/science/slits/finding/fits"
# regions_dir = ... |
import torch
import math
import pytest
from privpack.core.criterion import DiscreteMutualInformation, BinaryHammingDistance, NegativeBinaryMutualInformation, BinaryMutualInformation, MeanSquaredError, GaussianMutualInformation
from privpack.core.criterion import PGANCriterion
@pytest.fixture
def mock_x_likelihoods()... |
import errno
import os,re
import sys
from datetime import datetime
from pathlib import Path
from dateutil import parser as date_parser
from dateutil.relativedelta import *
log = list()
err_log = list()
global last_key_value_max;
def generate_replace_column_select_list(column_list,database_name,table_name,source_db, ... |
"""
Generation of 3D brain MRI using VAE Generative Adversial Networks
==================================================================
Credit: <NAME>
Based on:
- https://github.com/cyclomon/3dbraingen
This tutorial is for the intuition of simple Generative Adversarial Networks
(GAN) for generating realistic MR... |
import argparse
import os
import numpy as np
import tensorflow.keras as k
import matplotlib.pyplot as plt
import io
from sklearn.model_selection import train_test_split
import time
import data_loader, mixup
from models import build_model
import tensorflow as tf
from utils import *
tf.executing_eagerly()
def plot_t... |
###############################################################################
#
# The MIT License (MIT)
#
# Copyright (c) Tavendo GmbH
#
# 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 with... |
'''
The primary use of this program is to plot great circles and poles of
structural geological orientation data onto a lower hemisphere projection.
More sophisticated applications like whole sphere projections will eventually
be implemented in future versions.
The better part of the math behind this application co... |
import re
import os
import json
import math
import nltk
import uuid
import pickle
import numpy as np
# import textdistance
import pandas as pd
from collections import Counter
nltk.data.path.append('app/lib/models/wordnet')
from nltk.tokenize import RegexpTokenizer, word_tokenize
from nltk.stem import WordNetLemmatize... |
import logging
import iminuit
import numpy as np
import os
import pandas as pd
from matplotlib import pyplot as plt
from datetime import datetime, timedelta
from multiprocessing import Pool
from pyseir.models import suppression_policies
from pyseir import load_data, OUTPUT_DIR
from pyseir.models.seir_model import SEIRM... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module is provides funcions for dict lists and functions processing
"""
import logging
logger = logging.getLogger(__name__)
import collections
import inspect
import copy
import numpy as np
def get_default_args(obj):
if ("__init__" in dir(obj)):
if inspec... |
import numpy as np
import os
import matplotlib.pyplot as plt
from matplotlib import gridspec
import seaborn as sns
import colorsys
from sis import coeff_determination_metric, find_sub_list, retokenize_annotation
ASPECT_TO_COLOR = { 0: 'red',
1: 'blue',
2: 'green' }
def rgb_... |
from collections import defaultdict
from django.contrib import messages
from django.shortcuts import render
from django.views.generic import View
from django.http import HttpResponseRedirect, JsonResponse
from .models import CategoryFeature, FeatureValidator, ProductFeatures
from .forms import NewCategoryFeatureKeyFo... |
#!/usr/bin/env python
# coding: utf-8
from GPyOpt.methods import BayesianOptimization
import matplotlib.pyplot as plt
import numpy as np
import progressbar
# results in this format from the output of the multi-threaded c++ code.
resultsFinal = np.asarray([
0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0,
0, 0, 0... |
from django.core.exceptions import ObjectDoesNotExist
from django.core.exceptions import PermissionDenied
from django.contrib.auth.mixins import LoginRequiredMixin
try:
import json
except ImportError:
from django.utils import simplejson as json
import django.utils.six
from django.core import serializers
from d... |
#!/usr/bin/env python3
import config
import smtplib
import ssl
import sys
import time
import urllib.error, urllib.parse, urllib.request
from bs4 import BeautifulSoup
from datetime import datetime
last_page = ''
class ClassyUrlOpener(urllib.request.FancyURLopener):
version = 'Mozilla/5.0 (X11; Linux x86_64; rv:21.0)... |
#!/usr/bin/env python3
####################################################
# filename: figure-mistimed.py
# author: <NAME> <<EMAIL>>
#
# description: plots figure showing consequences
# of mistiming an optimized intervention
####################################################
import sys
import matplotlib.pyplot as p... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2017 PetarV <<EMAIL>>
#
# Distributed under terms of the MIT license.
"""
"""
from keras.models import Model
from keras.layers import Input, Dense, Flatten, Convolution2D, MaxPooling2D, Dropout, Activation, BatchNormalization
import num... |
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 28 17:11:29 2019
@author: tsd
"""
import os
import torch
import torch.nn as nn
import torch.optim as optim
from .models.Transformer import PuncTransformer, PuncTransformer2
from .models.LSTM_attention_model import puncLAS, puncLAS2
from .models.py_Transformer import pyTra... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
from unittest.mock import Mock, patch, call
from src.theory.patterns.abstract_factory.abstract_factory import MotorCycleInterface
from src.theory.patterns.abstract_factory.abstract_factory import CarInterface
from src.theory.patterns.abstract_factory.abstrac... |
"""Target matrices to factor: DFT, DCT, Hadamard, convolution, Legendre, Vandermonde.
Complex complex must be converted to real matrices with 2 as the last dimension
(for Pytorch's compatibility).
"""
import math
import numpy as np
from numpy.polynomial import legendre
import scipy.linalg as LA
from scipy.fftpack imp... |
# Copyright 2017 <NAME>, <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 applicable law or agreed... |
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