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"""
Created on Apr 4, 2014
@author: rgeorgi
"""
# Built-in imports -------------------------------------------------------------
import os, sys, re
import subprocess as sub
from io import StringIO
# Set up logging
import logging
MAXENT_LOG = logging.getLogger('CLASSIFIER')
# Internal Imports ------------------------... |
#The following script is designed to read a CSV file with data in a correct format (this is important; more below), alter a PowerWorld simulation accordingly and run it and store the desired outputs (types and locations are hard-coded into the script) in another CSV file. The input files must be formatted in the follow... |
"""More efficient implementation of infiniteroad_simulation which only partially simulates vehicles."""
import havsim.simulation as hs
import havsim.plotting as hp
import time
import numpy as np
#%% set up parameters
IDM_parameters = [30, 1.5, 4, 1.3, 2] # in order: max speed, time headway, jam spacing, comfortable... |
import torch.nn as nn
import torch
import numpy as np
from collections import OrderedDict
def dense_flops(in_neurons, out_neurons):
"""Compute the number of multiply-adds used by a Dense (Linear) layer"""
return in_neurons * out_neurons
def conv2d_flops(in_channels, out_channels, input_shape, kernel_shap... |
#!/usr/bin/env python
import numpy as np
import pandas as pd
from numpy.random import randint
import tflearn
import tensorflow as tf
from evaluate_model import *
from tf_model_component import *
from sklearn.model_selection import train_test_split
import math
#import cPickle
import pickle
import sys
from resnext_model... |
#! python3
# PostRipProcess.py - script run by dBpoweramp CD Ripper after a CD has
# been ripped.
#
# * Rename the .CUE file to use the album title
# * Run the CheckFlacTags script to look for metadata problems.
# This script needs to know where the album was ripped after the rip process
# completes. Since this scri... |
# This is a sample Python script.
# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
import os.path
import re
import urllib.request
import urllib.error
import urllib.parse
import time
import logging
... |
import datetime
import numpy as np
import pandas as pd
import pathlib
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import roc_auc_score
import gust
from utils import graph_util
def evaluateLinkPrediction(AdjMat,embedding_method, round_id, train_ratio, train_epochs, eval_epochs,edge_emb_met... |
import random
from unidecode import unidecode
from gensim.models import Word2Vec
import torch
from torch.autograd import Variable
from torch import nn
import torch.nn.functional as F
from torch import optim
f = open("grimms.txt")
text = unidecode(f.read()).lower()
sentences = text.split('.')
for i in range(len(sentenc... |
import os
import torch
import pickle
import gensim
import numpy as np
import pandas as pd
from config import model_config as config
from gensim.scripts.glove2word2vec import glove2word2vec
from sklearn.metrics import confusion_matrix, accuracy_score, f1_score, precision_score, recall_score
import itertools
import mat... |
#
# 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... |
from pycket.prims.expose import (unsafe, default, expose, expose_val,
procedure, make_call_method, define_nyi)
from pycket import values, values_string, values_regex
from pycket.error import SchemeException
from rpython.rlib import jit
import sys
@expose("regexp", [values_string.W_Str... |
import os
import time
import sys
import re
import json
import pandas as pd
from selenium import webdriver
import selenium.webdriver.chrome.service as service
from selenium.webdriver.support.ui import Select
from pandas_datareader.data import Options
import requests_cache
#############################################... |
from typing import Mapping, List, Optional, Callable
from baretypes import (
Scope,
Info,
RouteMatches,
Content,
HttpRequestCallback,
HttpResponse
)
import bareutils.header as header
from bareutils.streaming import (
Compressor,
compression_writer_adapter,
make_deflate_compressobj,
... |
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
"""
Some notations:
d = number of features including W_0
n = number of observations
"""
def prepare_X(X:np.ndarray, degree:int = 1)-> np.ndarray:
'''
Expands X as per degrees and appends a column of ones in ... |
import cv2
import numpy as np
import tensorflow as tf
INPUT_SIZE = 512 # input image size for Generator
ATTENTION_SIZE = 32 # size of contextual attention
def sort(str_lst):
return [s for s in sorted(str_lst)]
def reconstruct_residual_from_patches(residual, multiple):
"""reconstruct residual from patches... |
import datetime
import pickle
import pytest
from pyrsistent import CheckedPVector, InvariantException, optional, CheckedValueTypeError, PVector
class Naturals(CheckedPVector):
__type__ = int
__invariant__ = lambda value: (value >= 0, 'Negative value')
def test_instantiate():
x = Naturals([1, 2, 3])
... |
from math import ceil
import numpy as np
import tensorflow as tf
from keras import backend as K
from tensorflow.contrib import distributions
from keras.utils.generic_utils import get_custom_objects
from keras.models import Model, load_model
from keras.layers import Layer, Input
# Bayesian categorical cross entropy.
#... |
#!/usr/bin/python
#birchcanoe.py
'''
Generates novels and their accompanying audio based on
phonetically-optimal English sentences. #NaNoGenMo2017
Uses the Harvard Sentences - see
http://ieeexplore.ieee.org/document/1162058/
The overall goal is to use these sentences as seeds for each chapter.
Next steps:
* Build s... |
"""
"""
import numpy as np
from astropy.utils.misc import NumpyRNGContext
from halotools.empirical_models import conditional_abunmatch
from .probabilistic_binning import fuzzy_digitize
from .sigmoid_g_minus_r import g_minus_r
from .sigmoid_r_minus_i import r_minus_i
from .sigmoid_g_minus_r import quiescent_fraction_g... |
from core.arissploit import *
from core import colors
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import socket
import random
from string import ascii_lowercase
conf = {
"name": "email_bomber",
"version": "1.0",
"shortdesc": "Spam email to target email.",
"aut... |
from datetime import datetime
from django.contrib.auth.models import User
from django.db import models
from django.utils.translation import gettext_lazy as _
app_name = 'proj'
PROJ = 'projects'
EXPN = 'expenses'
class Projects(models.Model):
user = models.ForeignKey(User, on_delete = models.CASCADE, verbose_na... |
import pandas as pd
import os
import subprocess
import tempfile
from inference_results import InferenceResults
from config import Config
from dataset import get_synth_dataset
from ranked_list import RankedList
import re
from typing import List, Tuple, Any
import javalang
from source_code_utils import get_source_code, ... |
# -*- coding:utf-8 -*-
import copy
from typing import List, Tuple, Dict
from tensorflow.lite.python.interpreter import Interpreter
import cv2
import numpy as np
import streamlit as st
import tensorflow as tf
TYPE_INT8 = "INT8"
TYPE_FLOAT16 = "FLOAT16"
MODEL_TYPE = (TYPE_INT8, TYPE_FLOAT16)
MODEL_PATH = {TYPE_INT8: ... |
# -*- coding: UTF-8 -*-
import csv
import math
import operator
import random
import numpy as np
import pandas as pd
import os
from math import exp
import math
import sklearn
from sklearn import svm
from sklearn.model_selection import train_test_split
basedir = os.path.abspath(os.path.dirname(__file__)... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2021, Intel Corporation. All rights reserved.
# SPDX-License-Identifier: BSD-2-Clause
#
"""A helper script to simplify MAC address capsule
"""
import sys
import os
import argparse
import glob
import uuid
sys.path.insert(0, os.path.dirname(os.path.dirna... |
import tensorflow as tf
# import tensorflow.compat.v1 as tf
import numpy as np
from . import gpt2parallelize
from . import original_gpt2
import argparse
import json
class ReArrange(object):
"""
Map original model weights to our tf.keras model weights.
"""
@classmethod
def Embedding(cls, weights):
... |
# coding=utf-8
from django.db import models
from django.contrib.auth.models import AbstractUser
import base64
import random
class BookHotestManager(models.Manager):
def get_hotest_books(self):
"""
获取当前最热门的书籍
:return:
"""
return super(BookHotestManager, self).get_queryset()[... |
import numpy as np
from scipy.ndimage import convolve, gaussian_filter
def _funcGradientIndicator(x, alpha=2, sigma=1):
''' Return gradient indicator
'''
# Apply gaussian kernel
x = gaussian_filter(x, sigma)
# Calc gradients
pad = np.pad(x, pad_width=1, mode="edge")
... |
print("\nArduboy flash cart writer v1.12 by Mr.Blinky May-Sep. 2018\n")
#requires pyserial to be installed. Use "python -m pip install pyserial" on commandline
import sys
import time
import os
from serial.tools.list_ports import comports
from serial import Serial
compatibledevices = [
#Arduboy Leonardo
... |
#!/usr/bin/env python
#
# <NAME>, <EMAIL>
# 2019-02-25
# ref smoothGrad
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import grad,Variable
import numpy as np
class SmoothGrad(object):
def __init__(self, model, device='cpu', only_seq=False, train=False,
x_stddev=0... |
import re
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer
import pandas as pd
import emoji
import string
from sklearn.feature_extraction.text import ENGLISH_STOP_WORDS
from sklearn.model_selection import train_test_split
def preprocessing(dataset, column):
"""[This function prepr... |
from typing import Any, Dict, List, Optional, TYPE_CHECKING
import re
import numpy as np
from catalyst.core.logger import ILogger
from catalyst.settings import SETTINGS
if SETTINGS.mlflow_required:
import mlflow
from mlflow.tracking.fluent import ActiveRun
if TYPE_CHECKING:
from catalyst.core.runner impo... |
# Project Repository : https://github.com/robertapplin/N-Body-Simulations
# Authored by <NAME>, 2020
from n_body_simulations.xml_reader import get_simulation_setting, get_user_interface_property
from PyQt5.QtCore import QRegExp, Qt
from PyQt5.QtGui import QRegExpValidator
from PyQt5.QtWidgets import (QDoubleSpinBox, Q... |
#!/usr/bin/env python3
"""
This script profiles each part of masked kyber using the st-link ITM + SWO
It requires a bit of setup though.
You need to install openocd (http://openocd.org/getting-openocd/),
arm-none-eabi-gdb (https://developer.arm.com/tools-and-software/open-source-software/developer-... |
import sys, os
from os.path import abspath, join, commonprefix
# replacement for os.path.relpath (2.6 and above)
# extracted from https://github.com/python/cpython/blob/master/Lib/posixpath.py
# several safety measures have been removed (os.fspath, better try-except statement, paths as bytes)
def relpath_unsafe(path,... |
import argparse
import logging
import os.path
import shutil
import sys
import time
import yaml
from datetime import datetime
from distutils import dir_util
from config_xml_patch import patch_xml
from config_json_patch import patch_json
BUILD_HTML5_VIEWER_DIR_NAME = "html5viewer"
BUILD_SITE_DIR_NAME = ... |
import numpy as np
import matplotlib.pyplot as plt
def G_r(y_c, z_c, radius, integration_steps = 1000):
"""
Returns array of sensitivity of wire loop at position (0,y_c,z_c) of a given radius.
Parameters
----------
y_c: list or array-like
Multiple y coordinates can be input, this i used... |
#! /usr/bin/env python
import itertools
from enum import Enum
from time import time as ts
from aoc.intcode import IntCodeCPU
from aoc.utils import load_input
class Direction(Enum):
UP = "^"
DOWN = "v"
LEFT = "<"
RIGHT = ">"
def find_block(data, block, offset):
if not block:
return []
... |
import re
from typing import List, Sequence
import arviz as az
from cmdstanpy import CmdStanMCMC
import xarray as xr
def full_fit_to_inference(
fit: CmdStanMCMC,
params: Sequence[str],
coords: dict,
dims: dict,
alr_params: Sequence[str] = None,
posterior_predictive: str = None,
log_likeli... |
import bs4
import time
import pymysql
import requests
from dropbox import dropbox
from selenium import webdriver
from datetime import datetime, timedelta
SOURCE_URL = 'https://blogtruyen.com/danhsach/tatca'
data = []
client = dropbox.Dropbox("ut9MzqycHAAAAAAAAAAAM-HAvZ8JWgqcOSvr5e3VdjJnlPoTByUGs11BUsUzFl1T")
# Kế... |
'''
================================================
## VOICEBOOK REPOSITORY ##
================================================
repository name: voicebook
repository version: 1.0
repository link: https://github.com/jim-schwoebel/voicebook
author: <NAME>
author contact: <EMAIL>
descr... |
import sys
from capstone import *
from capstone.x86 import *
from itertools import tee
# from unittest import assertIn
"""List of basic blocks.
They are denoted as their starting address (leaders).
Example: BASIC_BLOCKS = [0x0, 0x12, 0x40]
"""
BASIC_BLOCKS = []
def getJumpTargets(disas):
"""Get... |
"""Test the KPOINTS parser."""
# pylint: disable=unused-import,redefined-outer-name,unused-argument,unused-wildcard-import,wildcard-import
import math
import pytest
import numpy as np
from aiida_vasp.utils.fixtures import *
from aiida_vasp.utils.fixtures.testdata import data_path
from aiida_vasp.parsers.content_parse... |
import logging
import math
from functools import partial
from typing import Dict, Tuple
import evalset.test_funcs
import GPy
import numpy as np
import emukit
from emukit.bayesian_optimization.loops import BayesianOptimizationLoop
from emukit.core import ContinuousParameter, ParameterSpace
from emukit.core.optimizatio... |
__author__ = 'mirko'
import sys, os, ctypes as ct, random
from time import clock, sleep
import OpenGL
from OpenGL.GL import *
from OpenGL.GLUT import *
from OpenGL.GLU import *
from ctypes import *
try:
import gui.histograph as h
except:
import histograph as h
def display():
glClear(GL_COLOR_BUFFER_BI... |
import os
import io
import base64
from astropy.io import fits, votable
import numpy
import mlpy.wavelet as wave
import matplotlib.pyplot as plt
import warnings
class SpectrumFileReader:
"""Abstract class for individual readers. Every reader can read its own type
of spectrum format."""
def _scidata(self, ... |
'''
Warning: this module requires Python 3.2 or higher
This is a set of classes to represent what I have most commonly needed when working on
dozens (eukaryotic) or hundreds (prokaryotic) of annotation projects. If you have
other attributes that you'd like to see supported, please add an 'issue' on the
biocode GitHub... |
import torch
from .multi_head_attention import AttentionMask, MultiHeadAttentionBase, AttentionMergeMixin
from typing import Optional
from .geometric_attention import geometric_attention_activation
import math
from .multi_head_relative_pos_attention import FixedRelativeMultiheadAttentionBase, shift
class DirectionSen... |
import csv
import os
import re
import spotipy # library for interacting with spotify api
from spotipy.oauth2 import SpotifyClientCredentials # handles oath sign in with spotify api credentials
import requests # make http requests
from bs4 import BeautifulSoup # read page content from when opening genius urls
impor... |
"""Resynthesis of signals described as sinusoid tracks."""
import numpy as np
def synthtrax(F, M, SR, SUBF=128, DUR=0):
"""
% X = synthtrax(F, M, SR, SUBF, DUR) Reconstruct a sound from track rep'n.
% Each row of F and M contains a series of frequency and magnitude
% samples for a particular track. The... |
# Copyright (c) 2015 Cloudera, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... |
"""Helper module for generating channel config command and caching values."""
def get_channel_config_command(
channel, power_down, gain, input_type, bias, srb2, srb1):
"""Get command string for the given parameters.
See
:func:`Cyton.configure_channel<openbci_interface.cyton.Cyton.configure_channe... |
# 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 json
import warnings
import pulumi
import pulumi.runtime
from .. import utilities, tables
class GetImageResult:
"""
A c... |
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
# Copyright 2017 <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 r... |
"""Flight category by hour"""
import datetime
import numpy as np
import pytz
from pandas.io.sql import read_sql
import matplotlib.colors as mpcolors
from matplotlib.patches import Rectangle
from pyiem.plot.use_agg import plt
from pyiem.util import get_autoplot_context, get_dbconn, utc
from pyiem.exceptions import NoDa... |
# Copyright (c) 2020, eQualit.ie inc.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import datetime
import json
import os
import time
import traceback
import pandas as pd
from baskerville.util.helpers import ... |
from __future__ import annotations
from abc import abstractmethod, ABCMeta
from typing import Optional, List, Iterable, Union, TypeVar
import numpy as np
from .. import tensor as ts
T = TypeVar("T")
IterT = Union[T, Iterable[T]]
class Variable:
def __init__(self, value: ts.Tensor, op: Optional[Op] = None):
... |
'''
* Copyright (c) 2022, salesforce.com, inc.
* All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
* For full license text, see LICENSE.txt file in the repo root or https://opensource.org/licenses/BSD-3-Clause
* By <NAME>
'''
import argparse
import os
import ruamel_yaml as yaml
import numpy as np
import... |
"""
pint.facets.formatting.objects
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:copyright: 2022 by Pint Authors, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import annotations
import re
from typing import Any
from ...compat import babel_parse, ndarray, np
from .... |
#!/usr/bin/env python
"""
MagPy - Basic Runtime tests including durations
"""
from __future__ import print_function
from magpy.stream import *
from magpy.database import *
import magpy.transfer as tr
import magpy.absolutes as di
import magpy.mpplot as mp
import magpy.opt.emd as emd
import magpy.opt.cred as cre... |
import os
import pathlib
import re
from cached_property import cached_property
from tracelog import TRACELOG
from .bead import UnpackableBead
from . import meta
from . import tech
from .ziparchive import ZipArchive
from .exceptions import InvalidArchive
persistence = tech.persistence
__all__ = ('Archive', 'Invalid... |
# ==============================================================================
#
# The following functions are designed to resize SPM nifti maps to align with
# the given SPM template nifti using FSL and nilearn commands and output a
# slice image of the two niftis overlaid.
#
# ======================================... |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the Apache 2.0 License.
import tempfile
import http
import subprocess
import os
import glob
import infra.network
import infra.path
import infra.proc
import infra.notification
import infra.net
import infra.e2e_args
import suite.test_requirement... |
###===###
# Coder: <NAME>
# Affiliation: The Australian National University
#===
# Code purpose:
# Supporting script, the MetaSGD-CL meta-learner nueral optimiser
###===###
import numpy as np
import math
from functools import reduce
from operator import mul
#--... |
#!/usr/bin/env python3
import argparse
import os
from camaptools.Dataset import RegressionDataset
from camaptools.Regression import RegressionMetaManager
from camaptools.EnhancedFutures import EnhancedProcessPoolExecutor, EnhancedMPIPoolExecutor
OUTPUT_FOLDER = "./output"
def add_blcl_peptide_lists(dataset):
... |
"""
Contains some misc utility functions
"""
import collections
import multiprocessing
from collections import OrderedDict, Callable
from functools import reduce
import numpy as np
def as_list(obj):
"""
Makes sure `obj` is a list or otherwise converts it to a list with a single element.
:param obj:
... |
import websocket
import threading
from threading import Thread
import time
import json
import random
import copy
import hashlib
import datetime as date
import sys
from miner import BlockMiner
sys.path.append("../CryptoWork")
sys.path.append("../block")
sys.path.append("../node")
sys.path.append("../blockchain_lib... |
import difflib
import shelve
from datetime import datetime
import networkx as nx
import base64
from io import BytesIO
import matplotlib.pyplot as plt
from collections import OrderedDict
from collections import defaultdict
VOCAB = ["undergrad", "postgrad", "faculty", "academic",
"service", "software", "techno... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# imagecompare.py
import numpy as np
from concurrent import futures
from functools import partial
def gaussian2d(shape: tuple = (5,), sigma: tuple = (1.5,)) -> np.ndarray:
"""
create a gaussian 2d array
shape and sigma tuples with diferent values can create ... |
from __future__ import absolute_import
import base64
import logging
import os
import re
from google.appengine.ext import db
from gae_bingo.config import config
from gae_bingo import cookies
from gae_bingo import request_cache
from .models import GAEBingoIdentityModel
IDENTITY_COOKIE_KEY = "gae_b_id"
IDENTITY_COOKIE... |
"""camera.py
This code is a tiny and custom version of https://github.com/jkjung-avt/tensorrt_demos#yolov4
"""
import cv2
import numpy as np
import threading
USB_GSTREAMER = True
def add_camera_args(parser):
"""Add parser augment for camera options."""
parser.add_argument("--video_path",
... |
# 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
# "License"); you may not u... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import numpy as np
from pointnet2 import SAModule, SAMSGModule, PointNet2FP
class PointNet2SSGPartSeg(nn.Module):
def __init__(self, output_classes, batch_size, input_dims=6):
super(PointNet2SSGPartSeg, s... |
import torch
from torch import nn
from .mobilenet_v2 import MobileNetV2
class Block(nn.Module):
def __init__(self, num_residual_layers, in_channels, out_channels,
kernel_size=3, stride=2, padding=1, remove_last_relu=False):
super(Block, self).__init__()
if remove_last_relu and num... |
#!/usr/bin/env python3
# PYTHON_ARGCOMPLETE_OK
from ays_general import __version__, __version_info__
import ays_model as aws
import ays_general
from pyviability import helper
import numpy as np
import scipy.integrate as integ
import scipy.optimize as opt
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d as... |
import copy
import pytest
from contk.dataloader import SingleTurnDialog, OpenSubtitles
from contk.metric import MetricBase
class TestSingleTurnDialog():
def base_test_init(self, dl):
assert isinstance(dl, SingleTurnDialog)
assert isinstance(dl.ext_vocab, list)
assert dl.ext_vocab[:4] == ["<pad>", "<unk>", "<g... |
import uno
import unohelper
from com.sun.star.beans import PropertyValue
from com.sun.star.beans.PropertyState import DIRECT_VALUE
from com.sun.star.container import XNameContainer, NoSuchElementException, ElementExistException
from com.sun.star.lang import XServiceInfo, \
IllegalArgumentException
from com.sun.st... |
from django.http import HttpResponse
from django.shortcuts import render, redirect
from .forms import RoomCreateForm, RoomUpdateForm, UserUpdateForm, CustomUserCreationForm
from django.shortcuts import get_object_or_404
from django.db.models import Q
from django.contrib.auth import authenticate, login, logout
from djan... |
# 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... |
# Copyright 2015-2017 Intel 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... |
import numpy as np
import os
import torch
import torch.nn as nn
from torchvision import transforms
from torch.utils.data import Dataset, DataLoader
import math
from PIL import Image
from torchsummary import summary
from numpy import asarray
image_dir = "/content/Images"
SAVE_DIR = "/content/Results"
piece_dir = {}
bat... |
# -*- coding: utf-8 -*-
from aloe import step
from aloe import world
import numpy
import matplotlib.pyplot as plt
from quantarhei import energy_units
from quantarhei import Manager
from quantarhei import CorrelationFunction
from quantarhei import SpectralDensity
from ...stepslib import read_n_columns
@step(r'corre... |
import json
import unittest.mock as mock
from datetime import datetime, date
from freezegun import freeze_time
from model_mommy import mommy
from django.test import override_settings
from django.utils import timezone
from hourglass.tests.common import ProtectedViewTestCase
from ..models import SubmittedPriceList
from... |
import numpy as np
from read_models import read_models
abstract_certain_feat_xgb, abstract_certain_vect_xgb, \
abstract_subject_feat_xgb, abstract_subject_vect_xgb, \
career_feat_xgb, career_vect_xgb, \
education_vect_xgb, specific_feat_xgb, specific_vect_xgb, \
time_boun... |
#!/usr/bin/env python
# coding: utf-8
# Copyright (C) PyZMQ Developers
# Distributed under the terms of the Modified BSD License.
#
# Some original test code Copyright (c) 2007-2010 iMatix Corporation,
# Used under LGPLv3
import argparse
from multiprocessing import Process
import time
try:
now = time.monotonic... |
"""
_StorageManagerAPI_
Contains all the code for interfacing with the StorageManager
"""
import logging
import threading
import time
from WMCore.DAOFactory import DAOFactory
knownStreamers = set()
def injectNewData(dbInterfaceStorageManager,
dbInterfaceHltConf,
dbInterfaceSMNot... |
# Train DCGAN model on CIFAR-10 data or other specified data
# Originally written by <NAME>
import tensorflow as tf
import logging
import importlib
from data import utilities
logger = logging.getLogger("gan.train")
# Create CIFAR-10 input
BATCH_SIZE = 32
def train(dataset, except_class_to_ignore, stop=300000):
'''... |
from django.test import TestCase
from maps.models import Post
from time import strftime
from django.contrib.auth.models import User
from .forms import *
class PostModelTest(TestCase):
TIMESTAMP_AUTHOR = strftime("U%d%m%y%H%M%S")
TIMESTAMP_TITLE = strftime("T%d%m%y%H%M%S")
CONTENT = """Lorem Ipsum is simpl... |
# -*- coding: utf-8 -*-
####################################################################################################
# File: dijkstra.py
# Purpose: Implementation of the Dijkstra algorithm for path-finding.
#
# Author: <NAME>
#
# Location: NYC, 2021
#######################################################... |
from jiwer import wer
import nltk
import distance
import re, math
from collections import Counter
from nltk.corpus import stopwords
from nltk import tokenize
import argparse
import os
from pathlib import Path
# Global variables
WORD = re.compile(r'\w+')
sws = stopwords.words('portuguese')
# Stopwords removal
def te... |
import pytest
from pytest_mock import MockerFixture
from cgr_gwas_qc.testing import chdir
from cgr_gwas_qc.testing.data import FakeData
@pytest.mark.parametrize(
"cgems,biowulf,cluster_profile",
[(True, False, None), (False, True, None), (False, False, "./test")],
)
def test_check_exclusive_options_no_error(... |
import mxnet as mx
import logging
logger = logging.getLogger(__name__)
__all__ = ['AddJitterOp', 'AddJitterOpProp']
INITIAL_JITTER_FACTOR = 1e-9
JITTER_GROWTH = 10.
JITTER_UPPERBOUND_FACTOR = 1e3
class AddJitterOp(mx.operator.CustomOp):
"""
Finds smaller jitter to add to diagonal of square matrix to rende... |
__author__ = 'Kalyan'
from placeholders import *
notes = """
This lesson explores some advanced features of functions. This will help you make sense
of a lot of standard library functions when you use them. In particular, the following are covered
- positional and keyword arguments
- defining and passing va... |
import os
import sys
import os.path
import pcapy
import xml.etree.ElementTree
from ping import Ping
from random import *
from core.printf import *
from lib.packetHandle import *
from lib.socketHandle import *
from urllib.parse import urlparse
from os.path import dirname,abspath
from core import Exceptions as exce
sys... |
import sys
import cv2
import numpy as np
import tensorboardX
import torch
from tqdm import trange
from torch.optim.lr_scheduler import MultiStepLR
from torch.utils.data import DataLoader
from logger import Logger
from modules.model import GeneratorFullModel, DiscriminatorFullModel
from sync_batchnorm import DataParal... |
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from numpy import array, mean, unique, vstack
from os.path import join
mpl.rcParams.update({'font.size': 18})
def my_plot(vector, xlabel_str=None, ylabel_str=None, title_str=None,
output_file=Non... |
# Copyright 2020 <NAME>
# SPDX-License-Identifier: Apache-2.0
from .utils import *
from ..op import CombinedOp, SequenceOp, ElementwiseAdd, Linear, ReLU
class BasicBlock(CombinedOp):
expansion = 1
def __init__(self, name, in_shape, out_channel, stride=1, downsample=None):
in_shape = shape2d(in_shape)... |
"""Tests for the implementation of SYS_MultiplyBytes_126"""
import os.path
import pathlib
from importlib import reload
from types import SimpleNamespace
from hypothesis import given
from hypothesis import strategies as st
import asm
from gtemu import RAM, Emulator
MAX_CYCLES = 120
SYS_DIR = (pathlib.Path(__file__)... |
import datetime
class NoteUser:
def __init__(self, _state, json: dict):
self.id = json['id']
self.name = json['name']
self.username = json['username']
self.host = json['host']
self.avatar_url = json['avatarUrl']
self.avatar_blurhash = json['avatarBlurhash']
s... |
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